SYSTEMATIC REVIEW article

Front. Pediatr., 23 June 2021

Sec. Children and Health

Volume 9 - 2021 | https://doi.org/10.3389/fped.2021.675775

The Association Between High Birth Weight and Long-Term Outcomes—Implications for Assisted Reproductive Technologies: A Systematic Review and Meta-Analysis

  • 1. Department of Obstetrics and Gynaecology, Institute of Clinical Sciences, Sahlgrenska University Hospital, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden

  • 2. Department of Obstetrics and Gynecology, Tampere University Hospital and Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland

  • 3. Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

  • 4. Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland

  • 5. Fertility Clinic, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark

  • 6. Livio IVF-klinikken Oslo, Oslo, Norway

  • 7. Swedish National Data Service & Health Metrics Unit, University of Gothenburg, Gothenburg, Sweden

  • 8. Spiren Fertility Clinic, Trondheim, Norway

  • 9. Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway

  • 10. University of Helsinki, Helsinki, Finland

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Abstract

Background: Studies have shown that the prevalence of children born with high birth weight or large for gestational age (LGA) is increasing. This is true for spontaneous pregnancies; however, children born after frozen embryo transfer (FET) as part of assisted reproductive technology (ART) also have an elevated risk. In recent years, the practice of FET has increased rapidly and while the perinatal and obstetric risks are well-studied, less is known about the long-term health consequences.

Objective: The aim of this systematic review was to describe the association between high birth weight and LGA on long-term child outcomes.

Data Sources: PubMed, Scopus, and Web of Science were searched up to January 2021. Exposure included high birth weight and LGA. Long-term outcome variables included malignancies, psychiatric disorders, cardiovascular disease, and diabetes.

Study Selection: Original studies published in English or Scandinavian languages were included. Studies with a control group were included while studies published as abstracts and case reports were excluded.

Data Extraction: The methodological quality, in terms of risk of bias, was assessed by pairs of reviewers. Robins-I (www.methods.cochrane.org) was used for risk of bias assessment in original articles. For systematic reviews, AMSTAR (www.amstar.ca) was used. For certainty of evidence, we used the GRADE system. The systematic review followed PRISMA guidelines. When possible, meta-analyses were performed.

Results: The search included 11,767 articles out of which 173 met the inclusion criteria and were included in the qualitative analysis, while 63 were included in quantitative synthesis (meta-analyses). High birth weight and/or LGA was associated with low to moderately elevated risks for certain malignancies in childhood, breast cancer, several psychiatric disorders, hypertension in childhood, and type 1 and 2 diabetes.

Conclusions: Although the increased risks for adverse outcome in offspring associated with high birth weight and LGA represent serious health effects in childhood and in adulthood, the size of these effects seems moderate. The identified risk association should, however, be taken into account in decisions concerning fresh and frozen ART cycles and is of general importance in view of the increasing prevalence in high birthweight babies.

Introduction

The association between preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) and neonatal and long-term outcomes is well-described and suggests higher risks for cardiovascular diseases, diabetes, hypertension, and stroke later in life according to the Barker hypothesis (1). Less attention has been paid to high birthweight children and children born large for gestational age (LGA), particularly the long-term outcomes. The prevalence of high birthweight and LGA babies is increasing (2, 3), in parallel with the worldwide rise in obesity, also among women of childbearing age (3). In assisted reproduction, several studies have shown that children born after transfer of frozen/thawed embryos (FET) have a lower risk of preterm birth, low birth weight, and SGA compared with singletons born after fresh transfer but also a higher risk of being born with a high birth weight and LGA (46). Due to high success rates, FET of vitrified/warmed blastocysts has increased dramatically in recent years, including the “freeze all” technique where all available embryos of good quality are cryopreserved for later use in a natural or programmed cycle (711). The perinatal outcomes for babies of high birth weight and being LGA are mainly associated with difficulties at delivery such as asphyxia, shoulder dystocia, hypoglycemia, respiratory problems, cesarean section, and obstetric injuries (12, 13). For long-term outcomes, an association has been found between high birth weight and child malignancies, breast cancer, psychiatric disorders, and cardiometabolic diseases (1419).

The aim of this systematic review and meta-analysis is to summarize the present knowledge on long-term outcomes for children born with a high birth weight or being LGA.

Methods

We searched PubMed, Scopus, and Web of Science databases up to January 2021. Exposures were large for gestational age and high birth weight. Long-term morbidity outcomes studied were cancer, metabolic disease, cardiovascular disease, and psychiatric disorders. Cancer was focused on breast cancer, child malignancies in the central nervous system (CNS), hematological malignancies, and Wilm's tumor. Metabolic diseases were focused on diabetes type 1 and type 2. Cardiovascular disease was focused on hypertension and other cardiovascular disorders. Psychiatric disorders were focused on schizophrenia/psychosis and cognitive disorders. Some of these outcomes, when appropriate, were used for meta-analysis.

Systematic Search for Evidence

The terms used in the searches are listed below:

LGA[tiab] OR large for gestational age[tiab] OR large-for-gestational age[tiab] OR HBW[tiab] OR high birth weight*[tiab] OR higher birth weight*[tiab] OR highest birth weight*[tiab] OR high birthweight*[tiab] OR higher birthweight*[tiab] OR highest birthweight*[tiab] OR macrosomia[tiab]. Because of large heterogenecity in the nomenclature of diseases and to avoid missing any important morbidity, we decided not to include any specific disease or morbidity terms in the search.

We also manually searched reference lists of identified articles for additional references. Guidelines for meta-analysis and systematic reviews (SR) of observational studies were followed (20). The literature search was performed by two researchers (Å.M. and C.B.) and one librarian. Screening of abstracts and of full papers for inclusion was done by pairs of reviewers. Differences of opinion in the team were solved by discussion until consensus was achieved.

The last literature search was performed January 14, 2021.

Inclusion and Exclusion of Studies

Original studies published in English or Scandinavian languages were included. In the case of double publication, the latest study was included. Studies with a control group were included. Studies published only as abstracts and case reports were excluded.

Definitions

High birth weight was defined by each author but usually ≥4,000 or ≥4,500 or occasionally >5 g. LGA was defined by each author.

Appraisal of Certainty of Evidence

The methodological quality of original studies, in terms of risk of bias, was assessed by pairs of reviewers by the tool Robins-I (http://www.methods.cochrane.org). For systematic reviews, we used AMSTAR (http://www.amstar.ca). For certainty of evidence, we used the GRADE system (21). The systematic review followed PRISMA guidelines (22).

Data Synthesis

Outcomes are given in odds ratio (OR), adjusted odds ratio (AOR), hazard ratio (HR), adjusted hazard ratio (AHR), relative risk (RR), adjusted relative risk (ARR), incidence rate ratio (IRR), adjusted incidence rate ratio (AIRR), standardized incidence ratio (SIR), or random-effects odds ratio (REOR) with 95% CIs. Meta-analyses were performed despite significant heterogeneity in reference groups and despite the fact that outcomes were given in AOR, ARR, or ROR. However, studies reporting estimates as HR, AHR, AIRR, and SIR were not mixed with the RR- and OR-based outcomes. The HR- and IR-based outcomes were also too few to be included in a separate meta-analysis. A random-effects meta-analysis using the Der Simonian and Laird method, with the estimate of heterogeneity being taken from the Mantel–Haenszel model, was used in the analysis (command metan in Stata 15).

Results

The search strategy identified a total of 11,767 abstracts, of which 173 were selected for inclusion in the systematic review and 63 for inclusion in quantitative synthesis (meta-analysis) (Figure 1). No papers, particularly focusing in children with high birth weight born after FET, were identified.

Figure 1

Among the studies included were 19 meta-analyses, 73 cohort studies, 74 case–control studies, and seven cross-sectional studies (tables, characteristics of included studies and excluded studies, with reasons for exclusion, are presented in Supplementary Tables 1.11.4, 2.12.4).

A quality assessment of the cohort, case–control, and cross-sectional studies included is presented in Supplementary Tables 3.13.4 and for systematic reviews in Supplementary Table 4. Of the selected cohort, case–control, and cross-sectional studies, 28 articles had low, 79 had moderate, 47 had serious, and two had critical risk of bias. Of the systematic reviews, 10 were of high, five of medium, and four were of low quality. Summary of findings (SoF) is presented in Supplementary Table 5.

Malignancies

Outcomes are listed in Table 1.1.

Table 1.1

Author, year, countryStudy designCasesOutcomes (risk estimates)Reference group (weight)Comments/adjustmentsRisk of biasDirectnessPrecision
Breast cancerSystematic reviews/meta-analysesn=3
Michels and Xue (2006), USA (21)• Meta-analysis
• Cohort n = 11
• Case–control n = 16
12,301• Birth weight >4,000 g (one study >3,000 g)
• Cohort studies OR/HR/SIR 1.24 (95% CI 1.10–1.40)
• Case–control studies OR/HR/SIR 1.21 (95% CI 1.06–1.38)
• Total RR 1.23 (95% CI 1.13–1.24)
<2,500 gPartly overlap with Xue (24)
Xue and Michels (2007), USA (23)• Cohort n = 14 Case–control n = 18
• Systematic review, meta-analysis
21,845RR with increased birth weights 1.15 (1.09–1.21)• Partly overlap (23)
• The association disappeared after adjustment for birth length
Zhou et al. (2020), China (24)• Case/control n = 16
• Systematic review, meta-analysis
16,000• RR per 500 g increase in birth weight
• All ages: 1.02 (95% CI 1.01–1.03)
• Pre-menopausal RR 1.09 (95% CI 1.04–1.15)
Breast cancerOriginal articlesn=19
Andersson et al. (2001), Sweden (25)
• All cancers
Cohort n = 1,08062Birth weight 4,000–5,500 g RR 1.57 (95% CI 0.67–3.64)1,600–3,000 gAdjusted for cohort membership, gestational ageSeriousGoodPoor
Ahlgren et al. (2003), Denmark (26)Cohort n = 106,5042,334• Risk increase 8% per 1,000 g increase in birth weight (95% CI 1–16%)
• Birth weight >5,000 g RR 1.2
3,000–3,399 gAdjustments for age and calendar periodModerateGoodGood
Ahlgren et al. (2004), Denmark (27)Cohort n = 117,4153,340• Weight category 4,000 g (median)
• RR 1.17 (95% CI 1.02–1.33)
2,500 g (median)Adjustments for attained age, calendar period, age of first childbirth and parityModerateGoodGood
Ahlgren et al. (2007), Denmark (28)Cohort >200,000 men and women3,066RR for trend 1.05 (95% CI 0.98–1.12)3,000–3,499 gAdjustment for age and calendar periodModerateGoodGood
Barber et al. (2019), USA (29)Cohort n = 20,959601Birth weight >4,000 g HR 1.26 (95% CI 0.97–1.63)2,500–3,999 gAdjustments for time period, age, parity, age at first birth and family history of breast cancerSeriousGoodFair
dos Santos et al. (2004), UK (30)Cohort n = 2,17659Birth weight≥4,000 g ARR 1.57 (95% CI 0.60–4.13)<3,000 gAdjusted for ageModerateGoodPoor
Innes et al. (2000), USA (14)Case–control484Birth weight >4,500 g AOR 3.10 (95% CI 1.18–7.97)2,500–3,499 gAdjustments for gestational age, preeclampsia, abruptio placentae, multiple gestation, parity (birth rank), number of previous births, maternal age, paternal age, and raceSeriousGoodPoor
Lahmann et al. (2004), Sweden (35)Case–control89Birth weight >4,000 g AOR 2.66 (95% CI 0.96–7.41)<3,000 gAdjustments for gestational age, birth year, pre-eclampsia, parental occupation, adult BMI, and educational attainmentSeriousGoodPoor
McCormack et al. (2003), Sweden (31)Cohort n = 5,358359• Birth weight >4,000 g Premenopausal (<50 years) RR 3.48 (95% CI 1.29–9.38)
• Postmenopausal (>50 years) RR 0.87 (95% CI 0.56–1.36)
<3,000 gAdjustments for gestational age, marital status, children in home, age at first marriage, level of education, occupation, car possessionLowGoodFair
Mellemkjær et al. (2003), Denmark (36)Case–control881Birth weight ≥4,000 g AOR 1.25 (95% CI 1.00–1.55)3,000–3,499 gAdjustments for marital status, birth order, maternal age at birthModerateGoodGood
Michels et al. (1996), USA (37)Case–control582Lower birth categories had significantly lower OR. Example 3,000–3,499 AOR 0.68 (95% CI 0.48–0.97)>4,000Adjustments for age, parity, cohort, age at first birth, age at menarche, BMI and family history of breast cancerSeriousGoodGood
Michels and Xue (2006), USA, (21)• Longitudinal cohort
n = 152,608
3,140Lower weight categories had significantly lower HR. Example HR 0.66 (95% CI 0.47–0.93) if <2,495 g>3,815 gAdjustments for age, premature birth, age at menarche, BMI at age 18, current BMI, family history of breast cancer, history of benign breast disease, age at first birth, oral contraceptive use, physical activity, and alcohol consumptionLowGoodGood
Mogren et al. (1999), Sweden (33)• Cohort
n = 248,701
57• High birth weight, >4,500 g
• SIR 7.35 (95% CI 0.10–40.87)
Sex, age, calendar-specific person-yearLowGoodPoor
Sanderson et al. (2002), USA (38)Case–control288• High birth weight ≥4,000 g
• AOR 0.7 (95% CI 0.4–1.4)
2,500–2,999 g• Total 1,459 breast cancer, premenopausal interviewed, n = 288/296
• Adjusted for age, income, family history of breast cancer, history of fibroid adenoma, age at menarche, parity, age at first live birth
ModerateFairFair
Troisi et al. (2013), Sweden, Norway, Denmark (39)Case–control1,419• Birth weight ≥4,000 g RR 1.14 (95% CI 0.98–1.34)
• Continuous per 500 g RR 1.07 (95% CI 1.02–1.13)
2,500–3,999 gAdjusted for gestational lengthLowGoodGood
Titus-Ernstoff et al. (2002), USA (40)Case–control5,659Birth weight ≥4,500 g OR 1.18 (95% CI 0.92–1.51)3,000–3,499 gAdjustments for BMI at reference date, Jewish/non-Jewish, family history of breast cancer, age at first birth, parity, age at menopauseSeriousGoodFair
Vatten et al. (2002), Norway (41)Case–control373Birth weight >3,730 g OR 1.4 (95% CI 1.1–1.9)<3,090 gAdjustments for age at first birth and parityLowFairFair
Vatten et al. (2005), Norway (34)• Cohort
n = 16,016
312Birth weight >3,840 g RR 1.5 (95% CI 1.0–2.2)<3,040 gAdjustments for year of birth, gestational length, marital status, socioeconomic status, maternal age, and birth orderModerateGoodFair
Wu et al. (2011), USA (42)Case–control2,259Birth weight ≥4,000 g OR 1.97 (95% CI 1.15–3.39)<2,500 gAdjustment for age, age at menarche, parity, adult BMI, Asian ethnicity, interviewer, years in USA, menopausal status, age at menopause, total calories, physical activity, and family history of breast cancerSeriousPoorFair
CNS tumorsSystematic reviews/meta-analysesn = 4
Dahlhaus et al. (2016), Germany (43)• Systematic review
• Cohort n = 3
• Case–control n = 11
18,845• >4,000 g
• Astrocytoma REOR 1.60 (96% CI 1.23–2.09)
• Ependymoma REOR 1.18 (95% CI 0.97–1.43)
• Medulloblastoma REOR 1.31 (95% CI 1.08–1.58)
<4,000 gDifferent adjustments in different studies
Georgakis et al. (2017), Greece (45)• Systematic review and MA
• Cohort n = 9
• Case–control n = 32
53,167• CNS tumors overall
• >4,000 g OR 1.14 (95% CI 1.08–1.20)
• LGA OR 1.12 (95% CI 1.03–1.22)
<4,000 g AGAOnly child cases n = 22,330 I meta-analyses
Harder et al. (2008), Germany (44)• Meta-analysis
• Cohort n = 2
• Case–control n = 6
3,665• >4,000 g
• Astrocytoma OR 1.38 (95% CI 1.07–1.79)
• Medulloblastoma OR 1.27 (95% CI 1.02–1.60)
<4,000 g
Harder et al. (2010), Germany (47)• Meta-analysis
• Cohort n = 1
• Case–control n = 10
3,004• >4,000 g OR 1.19 (95% CI 1.04–1.36)<4,000 g
CNS tumorsOriginal articlesn = 18
Crump et al. (2015), Sweden (46)• Cohort
n = 3,571,574
2,809• Birth weight ≥4,000 g
• IRR 1.13 (95% CI 1.03–1.25)
2,500–3,999 gAdjusted for year of birth both continuous and categorical, gender, fetal growth, parental country of birth, maternal education, familiar history of brain tumor in parents or siblingsLowGoodGood
Emerson et al. (1991), USA (186)Case–control157• Birth weight >4,000 g All histologies
• AOR 1.4 (95% CI 1.0–2.0)
<4,000 gAdjustments for matching variables; county of birth and birth yearModerateGoodFair
Greenop et al. (2014), Australia (180)Case–control319• Birth weight >4,000 g AOR 0.9 (95% CI 0.8–1.0)
• LGA AOR 0.8 (95% CI 0.5–1.2)
2,500–3,999 g AGAAdjusted for maternal age, year of birth, ethnicity, maternal folate supplementationSeriousGoodFair
Johnson et al. (2016), USA (190)Cross-sectional184• Birth weight >3,915–5,815 g
• HR 1.38 (95% CI 0.85–2.26)
<3,020 gAdjusted for gestational age categoryModeratePoorPoor
Kitahara et al. (2014), Denmark (48)• Cohort
n = 320,425
608HR 1.13 (95% CI 1.04–1.24) per 0.5 kg increase in birth weightNo adjustmentsLowGoodGood
Mallol-Mesnard et al. (2008), France (183)Case–control209Birth weight >4,000 g AOR 1.0 (95% CI 0.5–1.7)2,500–4,000 gMatched for age and sexModerateGoodFair
McLaughlin et al. (2009), USA (181)Case–control529Birth weight ≥4,000 g RR1.4 (95% CI 0.7–2.5)2,500–3,499 gAdjustments for birth year, region, gender, race and birth weightModerateGoodPoor
Oksuzyan et al. (2013), USA (184)Case–control3,308• Birth weight >4,000 g AOR 1.12 (95% CI 0.91–1.38)
• LGA AOR 1.09 (95% CI 0.89–1.27)
2,500–4,000 gAdjusted for race, gestational age, birth order, maternal age, father's education, and source of payment for deliveryModerateGoodFair
O'Neill et al. (2015), USA+UK (50)Case–control3,561, 5,702• Birth weight per 0.5 kg increase
• AOR 1.05 (95% CI 1.01–1.08)
• AOR 1.07 (95% CI 1.04–1.10)
• Birth weight ≥4,000 g
• AOR 1.18 (95% CI 1.06–1.32)
• AOR 1.14 (95% CI 0.98–1.34)
Per 500-g increase, 3,000–3,490 gAdjusted for maternal age, plurality, gender, state and year of birth, birth order, maternal ethnicityModerateGoodGood
Savitz and Ananth (1994), USA (64)Case–control47Birth weight > 4,000 g OR 2.3 (95% CI 0.9–6.0)2,500–4,000 gAdjusted for year of diagnosisSeriousGoodPoor
Schüz et al. (2001), Germany (81)Case–control466• Birth weight >4,000 g
• OR 1.31 (95% CI 0.97–1.78)
2,500–4,000 gAdjustments for gender, age group of 1 year, year of birth, degree of urbanization and socioeconomic statusSeriousGoodFair
Schüz and Forman (2007), Germany (65)Case–control389• Birth weight >4,000 g
• AOR 1.34 (95% CI 0.97–1.85)
• LGA AOR 1.18 (95% CI 0.80–1.72)
2,500–4,000 gStratified for gender and age, adjusted for urbanization and socioeconomySeriousGoodFair
Spix et al. (2009), Germany (196)Case–control• Leukemia
• Cases = 229
• Controls = 557
• CNS
• Cases = 88
• Controls = 204
• Birth weight >4,000 g Leukemia AOR 1.96 (95% CI 1.12–3.41)
• CNS tumors AOR 3.55 (95% CI 0.81–15.62) <2,500 g
2,500–4,000• Matching criteria, sex, age, and year of diagnosis
• Response rate cases 78.1% and controls 61.4%
SeriousGoodPoor
Tettamanti et al. (2016), Sweden (49)Cohort n = 2,032,727758• LGA
• Glioma ARR 1.11 (95% CI 0.82–1.49)
• Meningioma ARR 0.92 (95% CI 0.50–1.68)??
• Neuroma ARR 1.31 (95% CI 0.62–2.80)
• Birth weight 4,000–6,000 g
• Glioma ARR 1.12 (95% CI 0.86–1.47)
• Meningioma ARR 0.71 (95% CI 0.40–1.28)
• Neuroma ARR 0.99 (95% CI 0.49–2.01)
AGA 2,500–3,999 gAdjustments for sex, maternal and paternal age, maternal birthplace, birth cohort, parental socioeconomic index at birth, birth weight by gestational age, head circumference, and birth lengthLowGoodFair
Tran et al. (2017), USA (195)Case–control72• Birth weight >4,000 g
• AOR 2.5 (95% CI 1.2–5.2)
• >4,000 g + LGA
• AOR 2.7 (95% CI 1.1–6.2)
2,500–4,000 g AGAAdjustments for sex, ethnicity, year of birth, age at diagnosis, gestational age, maternal age, and DOE sitesModerateGoodPoor
Urayama et al. (2007), USA (185)Case–control508Birth weight >4,000 g AOR 1.22 (95% CI 0.90–1.66)2,500–3,999 gAdjustment for age, race, ethnicity, gestational age, birth order, abnormalities, socioeconomic factors, type of deliveryModerateGoodFair
Von Behren and Reynolds (2003), USA (179)Case–control746Birth weight ≥4,000 g OR 1.05 (95% CI 0.7–1.35)2,500–3,999 gAdjustments for birth date and sexModerateGoodFair
Yaezel et al. (1997), USA, Australia, Canada (66)Case–control252Birth weight >4,000 g AOR 1.2 (95% CI 0.7–1.8)<4,000 gAdjusted for maternal age, birth order, gestational age, sex, maternal race, maternal/paternal education, income, age at diagnosisModerateGoodGood
Hematologic malignanciesSystematic reviewsn = 2
Caughey and Michels (2009), USA (192)SR and MA 28 case–control and 4 cohort studies16,501• Birth weight >4,000 g All leukemias
• AOR 1.35 (96% CI 1.24–1.48)
Differs between 2,500–2,999 and <4,000 gDifferent adjustments in different studies
Hjalgrim et al. (2003), Denmark (191)SR and MA 18 case–control studies10,282Birth weight >4,000 g AOR for ALL and leukemia combined OR 1.26 (95% CI 1.17–1.37)Different adjustments in different studies
Hematologic malignanciesOriginal articlesn = 29
Cnattingus et al. (1995), Sweden (77)Case–control613• LL Birth weight >4,000 g
• AOR 1.7 (95% CI 1.1–2.7)
3,000–3,499 gMatched by sex and month and year of birthModerateGoodFair
Crump et al. (2015), Sweden (193)• Cohort
n = 3,569,333
1,960• ALL LGA
• AIRR 1.22 (95% CI 1.06–1.40)
• Birth weight >4,000 g
• AIRR 1.19 (95% CI 1.06–1.32)
AGA 2,500–3,999 gAdjusted for sex, birth year, fetal growth, parental country of birth, ALL in parent or sibling,LowGoodGood
Groves et al. (2018), USA (59)Case–control633• ALL Birth weight >4,000 g
• AOR 1.28 (95% CI 1.01–1.61)
2,500–4,000 gAdjusted for age, sex, ethnicity, county of residence and day of birthModerateGoodGood
Hjalgrim et al. (2004), Denmark, Sweden, Norway Iceland (52)Case–control2,204• Birth weight ≥4,500 g
• ALL AOR 1.19 (95% CI 0.09–1.58)
• Trend per kg increase 1.26 (95% CI 1.13–1.41)
• AML AOR 0.95 (95% CI 0.45–2.04)
• Trend per kg increase 1.09 (95% CI 0.82–1.45)
3,500–3,999 g• Matched for sex, year and month of birth
• Trend adjusted for birth order, gestational age, parental age
ModerateGoodPoor
Kaatsch et al. (1998), Tyskland (67)Case–control2,356• Birth weight >4,000 g Leukemia AOR 1.64 (95% CI 1.16–2.32)
• No statistics on lymphoma
2,500–4,000 g• Matched for age, sex and place of residence at diagnosis
• 81% response for cases and 67% for controls
SeriousGoodFair
Koifman et al. (2008), Brazil (194)Case–control201Birth weight >4,000 g Infant leukemia AOR 1.20 (95% CI 1.02–1.43)2,500–2,999 gAdjusted for sex, income, maternal age, pesticide exposure, hormonal intake during pregnancySeriousGoodFair
Ma et al. (2005), USA (78)Case–control• 313 ALL
• 53 AML
• Birth weight > 4,000 g ALL AOR 1.04 (95% CI 0.52–2.10)
• AML AOR 1.60 (95% CI 0.13–19.9)
<2,500 gAdjusted for household income, maternal educationModerateGoodPoor
McLaughlin et al. (2006), USA (189)Case–control1,070• Birth weight ≥4,500 g
• ALL AOR 1.10 (95% CI 0.67–1.73)
• AML AOR 3.89 (95% CI 1.63–8.26)
3,000–3,499 gMatched for year of birth Adjustments for year of birth, race, gender, ethnicity, maternal age, gestational ageModerateGoodFair
Mogren et al. (1999), Sweden (33)Cohort n = 248,70197• High birth weight, >4,500 g
• SIR 4.29 (95% CI 1.56–9.33)
Sex, age, calendar-specific person-yearLowGoodFair
Okcu et al. (2002), USA (53)Case–control104 total leukemia83 ALL• Leukemia total birth weight >4,000 g AOR 1.7 (95% CI 0.9–3.0)
• ALL AOR 2.2 (95% CI 1.2–4.1)
2,500–4,000 gAdjusted for year of birth, sex, gestational age, maternal age, tobacco use, parity and raceLowGoodModerate
O'Neill et al. (2015), USA+UK (50)Case–control5,561, 7,826• Birth weight per 500 g increase
• AOR 1.05 (95% CI 1.01–1.08)
• AOR 1.07 (95% CI 1.04–1.10)
• Birth weight ≥4,000 g
• AOR 1.20 (95% CI 1.10–1.32)
• AOR 1.10 (95% CI 0.96–1.26)
• Per 500 g increase
• 3,000–3,490 g
Adjusted for maternal age, plurality, gender, state and year of birth, birth order, maternal ethnicityModerateGoodGood
Paltiel et al. (2015), Multinational (51)• Cohort
n = 112,781
• Leukemia, n = 115
• ALL, n = 98
• Birth weight >4,000 g
• OR 1.31 (95% CI 0.97–1.78)
<4,000 gAdjusted for sex, maternal age, pregnancy weight gain, BMI, first born, maternal smokingLowGoodFair
Peckham-Gregory et al. (2017), USA (63)Case–control374 cases in total of which 89 cases with Burkitt's lymphomaIf LGA Subgroup analysis Burkitt lymphoma AOR 2.0 (95% CI 1.10–3.65)Non-LGAAdjusted for sex, maternal race, maternal ethnicity, year of birth, maternal educationModeratePoorPoor
Petridou et al. (1997), Greece (54)Case–control153Childhood leukemia AOR per 500 g increase in birth weight 1.36 (95% CI 1.04–1.77)No refMatched for gender, age ±6 months, urban areaSeriousGoodFair
Petridou et al. (2015), Sweden (62)• Cohort
n = 3,444,136
684• LGA
• Non-Hodgkin lymphoma AHR 1.83 (95% CI 1.20–2.79)
• Hodgkin lymphoma AHR 0.7 (95% CI 0.22–2.2)
• Birth weight ≥4,000 g
• Non-Hodgkin lymphoma AHR 1.10 (95% CI 0.88–1.38)
• Hodgkin lymphoma AHR 1.14 (95% CI 0.78–1.67)
• 2,500–3,999 g AGAAdjusted for sex, maternal age, maternal education, gestational age, birth orderLowGoodFair
Podvin et al. (2006), USA (55)Case–control• 376 ALL
• 85 AML
• >4,000 g ALL AOR 1.6 (95% CI 1.2–2.1)
• AML AOR 1.2 (95% CI 0.7–2.1)
2,500–3,999 gAdjusted for mother's ageModerateGoodGood
Rangel et al. (2010), Brazil (68)Case–controlEligible number of cases 544. Included number of cases 410• Birth weight ≥4,000 g
• Non-Hodgkin lymphoma OR 1.99 (95% CI 1.08–3.69)
• Leukemia OR 1.86 (95% CI 1.04–3.30)
<4,000 g• Matched for gender and age
• <50% responders among cases
CriticalGoodPoor
Reynolds et al. (2002), USA (56)Case–control• 307 ALL <2 years
• 1,100 ALL 2–4 years
• 240 AML
• Birth weight >4,000 g
• AML OR 0.7 (95% CI 0.42–1.19)
• ALL <2 years OR 0.93 (95% CI 0.63–1.39)
• ALL 2–4 years OR 1.14 (95% CI 0.91–1.41)
2,500–3,999 gNo adjustmentsModerateGoodModerate
Robinson et al. (1987), USA (57)Case–control521 cases, 219 cases available for analysisBirth weight >4,000 g ALL Relative Odds Ratio 0.73 Subgroup analysis >3,800 g and diagnosis <4 years of age OR 2.09 (95% CI 1.18–3.70)<4,000 g• Control group 1. Matched for date of birth and county of birth
• Control group 2: year of birth
• 4:1
• <50% of eligible cases identified
SeriousGoodPoor
Roman et al. (2013), USA, Germany, and UK (58)Case–control pooled3,922• Weight centile >90. Boys AOR 1.2 (95% CI 1.1–1.5). Girls 1.3 (95% CI 1.1–1.6)
• Per kilo increase boys 1.2 (95% CI 1.1–1.3) Girls 1.2 (95% CI 1.1–1.4)
• Birth weight >4,500 g AOR 1.8 (95% CI 1.2–2.6)
3,000–3,999 g• Controls matched for age at diagnosis
• Adjusted for country, gestational age, sex, age at diagnosis
• *Adjusted for sex and diagnosis
• 58% of eligible controls participate
ModerateGoodFair
Savitz and Ananth (1994), USA (64)Case–control• 71 ALL
• 26 lymphoma
• Birth weight > 4,000 g ALL OR 0.7 (95% CI 0.2–2.3)
• Lymphoma OR 3.3 (95% CI 1.0–11.1)
2,500–4,000 gAdjusted for year of diagnosis and maternal smokingSeriousGoodPoor
Schüz and Forman (2007), Germany (65)Case–control• ALL, n = 621
• AML, n = 94
• Non-Hodgkin lymphoma, n = 164
• Birth weight >4,000 g
• ALL AOR 1.41 (95% CI 1.08–1.84)
• AML AOR 1.56 (95% CI 0.88–2.79)
• Non-Hodgkin lymphoma AOR 0.94 (95% CI 0.54–1.63)
• LGA
• ALL AOR 1.45 (95% CI 1.07–1.97)
• AML AOR 1.45 (95% CI 0.75–2.83)
• Non-Hodgkin lymphoma AOR 1.40 (95% CI 0.81–2.43)
2,500–4,000 gStratified for gender and age, adjusted for urbanization, and socioeconomic factorsSeriousGoodFair
Smith et al. (2009), UK (60)Case–control1,632Birth weight >4,000 g AOR 1.2 (95% CI 1.02–1.43)2,500–4,000 gMatched for sex, month, and year of birth, area of residenceModerateGoodFair
Spix et al. (2009), Germany (196)Case–control• Leukemia
• Cases = 229
• Controls = 557
• CNS
• Cases = 88
• Controls = 204
• Birth weight >4,000 g Leukemia AOR 1.96 (95% CI 1.12–3.41)
• CNS tumors AOR 3.55 (95% CI 0.81–15.62) <2,500 g
2,500–4,000 g• Matching criteria, sex, age, and year of diagnosis
• Response rate cases 78.1% and controls 61.4%
SeriousGoodPoor
Tran et al. (2017), USA (195)Case–control207• Birth weight >4,000 g
• Leukemia AOR 1.4 (95% CI 0,7–2.6)
• >4,000 g+LGA AOR 1.7 (95% CI 0.8–3.7)
• 2,500–4,000 g
• AGA
Matched for year of birth, county of residence, sex, ethnicity, maternal age. Adjusted for sex, ethnicity, year of birth, age at diagnosis, gestational age, maternal ageModerateGoodPoor
Triebwasser et al. (2016), USA (16)Case–control1,216Birth weight ≥4,000 g AOR 1.23 (95% CI 1.02–1.48)2,500–3,999 gMatched for month and year of birth, sex and ethnicityModerateGoodGood
Westergaard et al. (1997), Denmark (76)Cohort• 704 ALL
• 114 AML
• Birth weight 4,010–4,509 g ALL ARR 1.59 (95% CI 1.17–2.17)
• AML ARR 1.66 (95% CI 0.83–3.31)
3,010–3,509 gAdjusted for age, sex, calendar period, maternal age at birth, birth orderLowGoodGood
Yaezel et al. (1997), USA, Australia, Canada (66)Case–control• ALL 1,284
• AML 185
• Non-Hodgkin lymphoma 190
• Birth weight >4,000 g ALL AOR 1.5 (95% CI 1.1–1.9)
• AML AOR 1.5 (95% CI 1.0–2.4)
• Non-Hodgkin lymphoma 1.5 (95% CI 1.0–2.4)
<4,000 gAdjusted for maternal age, birth order, gestational age, sex, maternal race, maternal/paternal education, income, age at diagnosisModerateGoodGood
Zack et al. (1991), Sweden (61)Case–control411• Per 100-g increase in birth weight
• OR 1.0 (95% CI 1.0–1.0)
Matched for sex, month, and year of birthModerateGoodNA
Wilm's tumorSystematic reviews, n = 1
Chu et al. (2010), Canada (69)• Systematic review,
• 12 studies, cohort n = 3, case–control n = 7 and case–cohort n = 2
>6,000 cases• Birth weight >4,000 g, OR 1.36 (95% CI 1.12–1.64)
• LGA vs. AGA: OR 1.51 (95% CI 1.25–1.83)
2,500–4,000 g• Case–control studies: matched for sex, year of birth, and/or year of diagnosis
• Cohort studies adjusted at least for sex, year of birth. Some also adjusted for birth order, maternal age, residence., maternal education, socioeconomy
Wilm's tumorOriginal articlesn = 14
Crump et al. (2014), Sweden (70)• Cohort
• 3,571,574
443• ≥4,000 g, girls, AHR 2.22 (95% CI 1.63–3.029)
• Boys AHR 1.44 (95% CI 1.06–1.96)
2,500–3,999 gAdjusted for age, fetal growth, gestational age at birth, birth order, maternal age, maternal educationLowGoodGood
Daniels et al. (2008), USA (72)Case–control521• ≥4,500 g, OR 1.7 (95% CI 0.9–3.3) Subgroup analysis (nephrogenic rests)
• >4,000 g OR 21.1 (95% CI 1.2–3.9)
2,500– <4,000 gMatched for child's age, geographic areaSeriousGoodFair
Heck et al. (2019), Denmark (73)Case–control217• >4,000 g, OR 1.57 (95% CI 1.11–2.22)
• LGA or 1.79 (95% CI 1.08–2.96)
2,500– <4,000 gMatched for sex and year of birthLowGoodFair
Heuch et al. (1996), Norway (71)Cohort199Birth weight >4,000 g IRR 1.19 (96% CI 0.72–1.98)3,001–3,500 gAdjusted for age and sexModerateGoodFair
Jepsen et al. (2004), Denmark (74)Case–control126Birth weight 4,000–4,499 g OR 0.88 (95% CI 0.44–1.62)<3,500 gNo adjustmentsModerateGoodPoor
Lindblad et al. (1992), Sweden (75)Case–control110>4,000 g, OR 1.2 (95% CI 0.7–2.0)<4,000 gMatched or sex and date of birthModerateGoodPoor
Olshan et al. (1993), USA (79)Case–control612• Birth weight 4,001–4,500 g
• AOR 1.27 (95% CI 0.65–2.51)
3,001–3,500 gAdjusted for household income and father's educationSerousPoorPoor
O'Neill (2015), USA, UK (50)Case–control1,129, 1,515• Birth weight per 0.5-kg increase
• AOR 1.17 (95% CI 1.10–1.24)
• AOR 1.12 (95% CI 1.05–1.18)
• Birth weight ≥4,000 g
• AOR 1.55 (95% CI 1.29–1.87)
• AOR 1.31 (95% CI 0.98–1.77)
Per 0.5-kg increase, 3,000–3,490 gAdjusted for maternal age, plurality, gender, state and year of birth, birth order, maternal ethnicityModerateGoodGood
Puumala et al. (2008), USA (80)Case–control138Birth weight >4,000 g AHR 1.54 (95% CI 0.99–2.40)Adjusted for sex and year of birthModerateGoodFair
Rangel et al. (2010), Brazil (68)Case–controlEligible number of cases 544. Included number of cases 410• Birth weight ≥4,000 g
• OR 4.76 (2.72–8.28) g
<4,000 g• Matched for gender and age
• <50% responders among cases
CriticalGoodPoor
Schyz (90), GermanyCase–control177>4,000 g, OR 1.58 (95% CI 1.01–2.48)2,500– <4,000 gStratified by gender, age and year of birth and adjusted for socioeconomy and degree of urbanizationSeriousFairPoor
Schyz (91), Denmark, Sweden, Finland, NorwayCase–control690• >4,500 g, OR 1.90 (95% CI 1.29–2.81)
• LGA OR 1.76 (95% CI 1.21–2.57)
• 3,000–3,500 g
• AGA
Matched by birth month and year, sex and countryLowGoodGood
Smulevich et al. (1999), Russia (83)Case–control48Birth weight >4,000 g OR 5.1 (95% CI 1.6–16.4)2,500–4,000 gNo adjustmentsModerateFairPoor
Yaezel et al. (1997), USA (66)Case–control169Birth weight >4,000 g AOR 2.1 (95% CI 1.4–3.4)<4,000 gAdjusted for maternal age, birth order, gestational age, sex, maternal race, maternal/paternal education, income, age at diagnosisModerateGoodGood

LGA and high birth weight and long-term outcomes—malignancies.

OR, odds ratio; AOR, adjusted odds ratio; HR, hazard ratio; AHR, adjusted hazard ratio; SIR, standard incidence ratio; REOR, random-effects odds ratio; RR, relative risk; ARR, adjusted relative risk; IRR, incidence risk ratio; AIRR, adjusted incidence risk ratio.

Breast Cancer

Three SR/meta-analyses (2325), 10 cohort studies (2635), and nine case–control studies (14, 3643) investigated the association between high birth weight and the risk of breast cancer. The three SR, one of high and two of low quality, reported an increase of breast cancer per 500 g increase in birth weight [RR 1.02 (95% CI 1.01–1.03)] (25) and if birth weight was >4,000 g [RR 1.23 (95% CI 1.13–1.24) and RR 1.15 (1.09–1.21)] (23, 24). Among the 10 cohort studies, five out of nine studies with low to moderate risk of bias (2729, 3135, 39), found an association between high birth weight and later development of breast cancer. Three out of four case–control studies with low to moderate risk of bias also found an association (37, 40, 42). When only evaluating studies with low risk of bias (32, 33, 40, 42), three studies found an association. Our meta-analysis including 15 original studies showed a pooled AOR of 1.24 (95% 1.11–1.39) for development of breast cancer, when comparing birth weight >4,000 or >4,500 g vs. birth weight of <4,000 g (Figure 2).

Figure 2

Conclusion: High birth weight is probably associated with a moderate increase in breast cancer, moderate certainty of evidence (GRADE ⊕⊕⊕O).

CNS Tumors

Four SR/meta-analyses, three cohort studies, 14 case–control studies, and one cross-sectional study reported on the association between high birth weight and CNS tumors. Two SRs, of medium and high quality, found an association between birth weight >4,000 g and astrocytoma [OR 1.38 (95% CI 1.07–1.79) and REOR 1.60 (95% CI 1.23–2.09)] and medulloblastoma [OR 1.27 (95% CI 1.02–1.60) and REOR 1.31(95% CI 1.08–1.58)] compared with <4,000 g (44, 45). A meta-analysis of medium quality (46) found for neuroblastoma, an OR of 1.19 (95% CI 1.04–1.36) for birth weight >4,000 g compared with <4,000 g. The SR/meta-analysis (high quality) by Georgakis and co-workers in 2017 (47) reporting on all CNS tumors, found an OR of 1.14 (95% CI 1.08–1.20) for high birth weight and an OR of 1.12 (95% CI 1.03–1.22) for LGA. Two cohort studies, both with low risk of bias, found an association between high birth weight and CNS tumors (48, 49), while one cohort study, with low risk of bias, found no association between LGA and CNS tumors (50). Nine out of 14 case–control studies had moderate risk of bias, where three studies (45, 51, 52) found an association between birth weight >4,000 g and CNS tumors, while six case–control studies, with moderate risk of bias, and one cross-sectional study (53) found no association.

Our meta-analysis, including 15 original studies, showed a pooled AOR of 1.15 (95% CI 1.05–1.27) for development of CNS tumors, when comparing birth weight >4,000 or >4,500 g vs. birth weight of <4,000 g (Figure 3). For LGA vs. AGA, the corresponding figure was AOR 1.09 (95% CI 0.95–1.23) (Figure 4).

Figure 3

Figure 4

Conclusion: High birth weight is probably associated with a slight increase of CNS tumors, moderate certainty of evidence (GRADE ⊕⊕⊕O).

Hematological Malignancies

Two systematic reviews (54, 55), four cohort studies (34, 5658) and 17 case–control studies (51, 52, 5973) investigated the association between high birth weight and leukemia, one cohort study (74), and two case–control studies (16, 75) reported on lymphoma and five case–control studies (7680) had investigated the impact of high birth weight on both leukemia and lymphoma.

Leukemia

Both SR, of high and low quality, respectively, reported an association between birth weight >4,000 g and leukemia [OR 1.25 (95% CI 1.17–1.37) and AOR 1.35 (95% CI 1.24–1.48)] (54, 55). Two out of three cohort studies (5658), all with low risk of bias, found an association between birth weight >4,000 g and acute lymphatic leukemia (ALL) (56, 58) and between LGA and ALL (56). Fourteen of the 22 case–control studies investigating the association between high birth weight and leukemia had a low to moderate risk of bias, and of these, 10 showed an increased risk if birth weight ≥4,000 or ≥4,500 g. The results from 22 original studies reporting on leukemia and high birth weight were pooled in a meta-analysis showing an AOR of 1.29 (95% CI 1.20–1.39) (Figure 5) and for LGA an AOR of 1.45 (95% CI 1.10–1.91) (Figure 6).

Figure 5

Figure 6

Lymphoma

One cohort and seven case–control studies reported on lymphoma. The cohort study by Petridou et al. (74) (low risk of bias) reported an increased risk for non-Hodgkin lymphoma when the child was born LGA while no significant increased risk was found for high birth weight. Two case–control studies with moderate risk of bias (16, 78), comparing >4,000 g as exposure to the reference <4,000 g, reported an association between high birth weight and Hodgkin/non-Hodgkin lymphoma. One case–control study, with moderate risk of bias reported an association between LGA and risk of Burkitt's lymphoma but no increased risk for other lymphomas (75).

Conclusion: High birth weight is probably associated with a moderate increase in leukemia, moderate certainty of evidence (GRADE ⊕⊕⊕O). LGA may be associated with a moderate increase in non-Hodgkin lymphoma, low certainty of evidence (GRADE ⊕⊕OO).

Wilm's Tumor

One SR (81), two cohort studies (82, 83), and 12 case–control studies (51, 78, 80, 8492) reported on Wilm's tumor in childhood. The SR being of medium quality reported an increased risk for Wilm's tumor if birth weight >4,000 g as well as for LGA [OR 1.36 (95% CI 1.12–1.64) and OR 1.51 (95% CI 1.25–1.83)] (81).

One out of two cohort studies with low-moderate risk of bias (82, 83) showed an association between high birth weight and Wilm's tumor (82). Five out of eight case–control studies, being of low to moderate risk of bias showed an increased risk of Wilm's tumor if birth weight >4,000 g or if LGA. Our meta-analysis including 11 original studies showed a pooled AOR of 1.68 (95% CI 1.38–2.06) for Wilm's tumor, when comparing birth weight >4,000 g vs. birth weight of <4,000 g (Figure 7). For LGA vs. AGA, the corresponding figure was AOR 1.77 (95% CI 1.31–2.39) (Figure 8).

Figure 7

Figure 8

Conclusion: High birth weight and/or LGA is probably associated with a moderate increase in Wilm's tumor, moderate certainty of evidence (GRADE ⊕⊕⊕O).

Psychiatric Disorders

Outcomes are listed in Table 1.2a.

Table 1.2a

Author, year, countryStudy designCasesOutcomes (risk estimates)Reference group (weight)Comments/adjustmentsRisk of biasDirectnessPrecision
Psychiatric disordersSystematic reviewsn = 1
Davies (100), UKSystematic review, meta-analysisNot reported• Birth weight >4,000 g
• OR 0.86 (95% CI 0.80–0.92)
Not statedNo adjustments performed
Psychiatric disordersOriginal articlesn = 10
Gunnell et al. (2003), Sweden (17)Cohort 334,577• 80 with schizophrenia
• 124 with non-affective, non-schizophrenic psychosis
• Schizophrenia:
• Birth weight >4,000 g
• HR 3.37 (95% CI 1.68–6.74)
• Non-affective psychosis:
• HR 1.24 (95% CI 0.75–2.05)
3,501–4,000 gAdjustments: gestational age, birth weight, birth length, ponderal index, head circumference, season of birth, urbanicity of residence at birth, age of mother, Apgar score at 1 minute, maternal parity, delivery by cesarean section, congenital malformation, uterine atony/prolonged labor, parental educationModerateGoodGood
Herva et al. (2008), Finland* (90)• Cohort
• 4,007 men and 4,332 women
1,026 (current), 315 (self-reported physician-diagnosed) depression• Likelihood for current depression 4,500–4,999 g
• men OR 1.21 (95% CI 0.72–2.03; women OR 2.02 (95% CI 1.20–3.39)
• Likelihood for self-reported physician-diagnosed depression 4,500 g: men OR 1.30 (95% CI 0.50–3.40), women OR 0.46 (95% CI 0.11–1.90)
3,000–3,499 gAdjustments: father's social class, mother's depression during pregnancy, mother's smoking during pregnancy, parity, mother's education, gestational age, mother's age at child's birth, mother's BMI before pregnancyModerateGoodGood
Keskinen et al. (2013), Finland (87)• Cohort
• 10,526
150• Schizophrenia
• Birth weight >4,500 g
• HR 2.0 (95% CI 1.0–4.0)
• In the group without parental psychosis HR 1.5 (95% CI 0.7–3.4)
• In the group with parental psychosis HR 11.4 (95% CI 3.3–39.7)
• Birth weight >4,500 g in relation to gestational age and the risk of schizophrenia. HR 1.2 (95% CI 0.7–1.9), p = 0.46
• In the group without parental psychosis HR 1.0 (95% CI 0.6–1.7), p = 0.99
• In the group with parental psychosis HR 3.2 (95% CI 1.2–9.0), p = 0.03
2,500–4,500 gThe results were reported as gender-adjusted HRs with 95% CIs. The association between parental gender, gestational age, psychosis, and birth weight was adjusted for maternal BMI (continuous variable)LowGoodGood
Lahti et al. (2015), Finland (92)Cohort 12,5971,660• Risk of any mental disorder (all subjects) LGA HR 1.03 (95% CI 0.75–1.41)
• Risk of psychotic disorder (women) LGA HR 2.43 (95% CI 1.19–4.96)
AGA = between −2 and +2 SD of that predicted by gestational ageStratified for sex and year of birth, and adjusted for gestational age, socioeconomic position in childhood and mothers' marital status at childbirthLowGoodGood
Liuhanen et al. (2018), Finland (88)• Cohort 4,223,
• Family study
• 256
256• Schizophrenia: Birth weight >4,000 g and high genetic risk OR 2.7 (95% CI 1.2–6.0) p = 0.013
• For women OR 7.6 (95% CI 2.8–20.5)
• In fully adjusted model, there was no interaction between birth weight and genetic risk of social anhedonia (p = 0.61), or schizophrenia diagnosis (p = 0.24)
Those with low genetic risk and birth weight ≤4,000 gAdjustments: sex, gestational age, mother's BMI, and 3 principal component analysesLowGoodFair
Moilanen et al. (2010), Finland (84)Cohort 10,934111• Risk of schizophrenia: Birth weight ≥4,500 g OR 2.4 (95% CI 1.1–4.9)
• Large babies (>2 SD) for “corrected” gestational age
• OR 2.1 (95% CI 1.0–5.1)
2,500–4,499 gAdjusted for gestational age, parental history of psychosis, sexLowGoodFair
Perquier et al. (2014), France (89)Cohort 41,1442,601 with new onset, 3,734 with recurrent depression• Risk of depression
• Birth weight >4,000 g
• New-onset OR 1.16 (95% CI 1.01–1.34), Recurrent OR 1.11 (95% CI 0.99–1.26)
2,500–4,000 gAdjustments: age; time since menopause; age at menarche; physical activity; energy intake; marital status; educational level; World War II food deprivation; psychological difficulties at work; alcohol intake; tobacco status; menstrual cycle length; number of children; type of menopause; history of cancer, type 2 diabetes, or vascular diseases; sleep duration; menopausal hormone therapy useLowGoodGood
Van Lieshout et al. (2020), Canada (93)• Cohort
• 2,151
628• Birth weight >4,000 g
• Conduct disorder, OR 3.19 (95% CI 1.37–7.43)
• Oppositional defiant disorder (ODD), OR 1.79 (95% CI 1.11–2.91),
• ADHD OR 1.77 (95% CI 1.21–2.80)
• Birth weight >4,000 g and socioeconomic disadvantage
• ODD OR 5.86 (95% CI 2.60–13.25)
• Major depressive disorder
• OR 4.24 (95% CI 1.69–10.66), Generalized anxiety disorder OR 3.85 (95% CI 1.64–9.08) compared with those with higher socioeconomic status
2,500–4,000 gAdjusted for participant age, sex, socioeconomic status of the family, parental mental health, and gestational DMModerateFairGood
Wegelius et al. (2011), Finland (85)• Cohort
• 1,051
360• Schizophrenia
• Birth weight >4,000 g
• HRR 1.68 (95% CI 1.13–2.50), p = 0.010
• Risk of primary psychotic disorder
• Birth weight >4,000 g
• HRR 1.18 (95% CI 0.84–1.65), p = 0.35
3,000–4,000 gAdjustments: sex, maternal and paternal history of psychotic disorderModerateGoodFair
Wegelius et al. (2013), Finland (86)Cohort 1,051282High birth weight (>4,000 g) was associated with more severe symptoms of bizarre behavior, as reflected by the statistically significant quadratic term (βLinear = −3.92, SE = 0.76, p < 0.001; βQuadratic = 0.57, SE = 0.12, p < 0.001)3,000–4,000 gAdjusted for sex, place of birth and year of birthModerateGoodFair

LGA, high birth weight, and long-term outcomes—psychiatric disorders.

ADHD, attention deficit hyperactivity disorder; AGA, appropriate for gestational age; BMI, body mass index; CI, confidence interval; HR, hazard ratio; HRR, hazard rate ratio; LGA, large for gestational age; NA, not available; ODD, oppositional defiant disorder; OR, odds ratio.

Schizophrenia

Four out of six cohort studies, with low to moderate risk of bias, found an association between high birth weight and/or LGA and schizophrenia (17, 9395). All studies but one (17) included both males and females and were adjusted by sex. High birth weight also increased the risk of schizophrenia considerably in families with parental psychosis (94, 96). However, two studies found no association in adjusted models (96, 97).

Depression

Two cohort studies, one with low and one with moderate risk of bias reported on depression. In these studies, women born with high birth weight had increased risk for new-onset depression (98) and current depression (98, 99). In men, no association was found (99).

Psychiatric Disorders in General

According to a recent systematic review and meta-analysis, high birth weight >4,000 g was a protective factor for different types of psychotic disorders (OR 0.86, 95% CI 0.80–0.92) (100). In our search, we found three cohort studies investigating the association between several mental or psychotic disorders and high birth weight with contradictory results. According to two Finnish studies, no general increased risk of any mental disorder (substance use, psychotic, mood, anxiety, personality disorders, suicides, suicide attempts) or any primary psychotic disorder was observed in individuals born LGA (95, 101). However, Van Lieshout et al. (102) reported higher odds of some psychiatric disorders [oppositional defiant disorder, conduct disorder, attention deficit hyperactivity disorder (ADHD)] in 12–17-year-old children born macrosomic (102). Participants exposed to macrosomia and socioeconomic disadvantage were more susceptible to major depressive disorders, and generalized anxiety disorders, compared with those with higher socioeconomic status (102).

Conclusion: High birth weight and/or LGA may be associated with a moderate increase in schizophrenia and an increase in depression, low certainty of evidence (GRADE ⊕⊕OO).

It is uncertain whether high birth weight is associated with psychiatric disorders in general, very low certainty of evidence (GRADE ⊕OOO).

Cognitive Function

Outcomes are listed in Table 1.2b.

Table 1.2b

Author, year, countryStudy designCasesOutcomes (risk estimates)Reference group (weight)Comments/adjustmentsRisk of biasDirectnessPrecision
Original articlesn=21
Alati et al. (2009), Australia (98)• Cohort
• 4,971
• Social problems Quintile 5 (highest birth weight): OR 1.57 (95% CI 1.12–2.20)
• Anxious/depressive symptoms Quintile 5: OR 1.1 (95% CI 0.80–1.51)
Quintile 3Adjustments: parity and child age, socio-economic position, maternal alcohol and tobacco use, maternal anxiety and depression in pregnancyModerateGoodGood
Bergvall et al. (2006), Sweden (108)• Cohort
• 357,768
35,821Risk of low intellectual performance: birth weight (SDS) more than 2: OR 0.98 (95% CI 0.90–1.06)Birth weight (SDS) −2 to +2Adjustments: gestational age, mothers age and parity, socioeconomic factors (household socioeconomic status, education, family structure)ModerateGoodGood
Buschgens (2009), The Netherlands (97)• Cohort
• 2,230
• Birth weight >4,500 g
• Inattention (TCP**p < 0.01);
• Hyperactivity/impulsivity (TCP p < 0.01)
• Aggression (CBCL*** <0.05; TCP < 0.01)
• Delinquency (TCP < 0.01)
2,500–4,500 gMultiple linear regression analyses, for each separate (standardized) variableLowGoodGood
Dawes et al. (2015), UK (114)• UK Biobank resource
• 18,819
For hearing, vision, reaction time and IQ, the middle category had significantly better performance than both the low and high categories (both p < 0.001)The top and bottom 3% by birth weight were compared with the middle 3% (centered on the 50th percentile)An ANOVA model was applied, hearing, vision, and cognition as the dependent variable and group (bottom, middle, or top 3% of the distribution) as the independent variable in the model, with the covariates age, sex, Townsend deprivation index quintile, educational level, smoking, diabetes, cardiovascular disease, hypertension, high cholesterol, and maternal smokingSeriousPoorFair
Duffy et al. (2020), USA (113)• Cohort
• 108,348
• Children born LGA
• Did not meet proficiency on mathematics ARR 0.96 (95% CI 0.92–0.99)
• Did not meet proficiency on English language or arts ARR 0.97 (95% CI 0.95–0.99)
• Referred for special education ARR 0.98 (95% CI 0.94–1.03)
AGAAdjustments: maternal ethnicity, age, education, nativity, marital status, Medicaid status, parity, maternal obesity, pre-gestational or gestational diabetes, tobacco, alcohol, or drug during pregnancy, excessive weight gain during pregnancy, infant gender, and year of birthModerateGoodGood
Eide et al. (2007), Norway (109)Cohort 317,7614,912Large infants (z-score birth weight >3.00) had a slightly elevated risk of low intelligence score (OR 1.22, 95% CI 1.00–1.48)z-score −0.49 to 0.50Adjustments: maternal age, maternal education, parity, adult height, BMI The gestational age–specific z-score (SD above or below the mean of birth weight was calculated using Norwegian population standards)ModerateGoodGood
Flensborg-Madsen and Mortensen (2017), Denmark (112)Cohort 4,696• Standardized intelligence score
• Birth weight >4,000 g
• At the age 19 years
• mean difference 1.35 (95% CI −0.83 to 3.52), 28 years −0.03 (−4.05 to 4.00), 50 years 2.90 (−0.35 to 6.14)
3,001–3,500 gAdjustments: infant sex, infant socioeconomic status, mother's age at birth, birth order, mother's smoking in last trimester, gestational ageModerateGoodGood
Haglund and Källen (2011), Sweden (94)• Case–control
• 68,964
250• Both autism and Asperger: LGA vs. adequate weight for gestational age OR 0.3 (95% CI 0–1.9)
• Any obstetrical risk factor (prematurity, low Apgar scores, growth restriction, or macrosomia)
• Autism with mental retardation, AOR 1.3 (95% CI 0.3–2.2)
• Autism without cognitive impairment AOR 3.1 (95% CI 1.7–5.7)
2,500–4,000 gAdjusted for year of birth, maternal age 40 years or older, primiparity, maternal birth outside Sweden, and genderModerateFairGood
Kristensen et al. (2014), Norway (111)• Cohort
• 217,746
• The crude mean IQ score
• Birth weights of ≥5,000 g was 1.2 points (95% CI 0.3–2.2) lower
4,000–4,499 gIn the multivariable analysis included gestational age, year of birth, birth order, sibship size, mother's and father's ages at child's birth, mother's marital status, highest parental educational level, father's income level. Mean sibship birth weight, maximum sibship birth weight, and fraternal relatedness were added to the random-effects modelModerateGoodGood
Leonard et al. (2008), Australia (95)Cohort 219,8772,625• Mild-moderate ID (>4,500 g) OR 1.10 (95% CI 0.75–1.61)
• Severe ID: OR 1.29 (95% CI 0.40–4.10); ID with autism spectrum disorder: OR 1.66 (95% CI 0.60–4.56)
• Caucasian infants with excess intrauterine growth (percentage of optimal birth weight 124) were more likely to be diagnosed with ID associated with autism spectrum disorder OR 2.36 (95% CI 0.93–6.03)
3,000–3,499 gAdjustments: marital status, maternal country at birth, health insurance status, paternal occupation, geographic remoteness, socioeconomic well-beingModerateGoodGood
Lundgren et al. (2003), Sweden (110)Cohort 620,834• Risk for subnormal intellectual performance:
• High birth weight (>2 SDS) according to the BMI groups at young adulthood: normal BMI (18.5–24.9) OR 0.92 (95% CI 0.87–0.98), BMI 25–29.9 OR 1.33 (95% CI 1.20–1.48), BMI >30 OR 1.86 (1.58–2.19)
Subjects born at term with normal birth weightAdjusted for gestational age, low Apgar score, head circumference SDS at birth, height SDS at conscription and parental educationModerateGoodGood
Moore et al. (2012), USA (96)Cohort 5,979,60520,206• Risk of autism:
• Term LGA (95th percentile) infants 39–41 weeks AOR, 1.16 (95% CI 1.08–1.26) Preterm LGA infants 23–31 weeks AOR, 0.45 (95% CI 0.21–0.95)
Subjects born with birth weight AGAAdjusted for maternal age, race, hypertension, pre-eclampsia, diabetes, birth order, twin gestation, and months since last live birthModerateGoodGood
Power et al. (2006), UK (107)• Cohort
• 13,980
• For 1 kg increase in birth weight, 7-year mathematics z-score increased 0.23 (0.19 adjusted for parental interest in child's progress) and adult qualifications increased 0.22 (on a 5-point scale)
• Mean z-scores for math (>4,000):
• boys 0.10, girls 0.14
Adjustments for gender, gestational age (32–44 weeks), exact age of test and for parental interest in child's progressModerateGoodGood
Record et al. (1969), UK (103)Cohort 41,543• Mean verbal reasoning scores of first-born children (40–41 weeks of gestation)
• Birth weight 2,000–2,400: 96.9–98.9
• Birth weight 3,000–3,400: 102.1–104.2
• Birth weight 4,000–4,400: 104.3–105.3
Results reported according to sex, duration of gestation, birth orderModeratePoorGood
Richards et al. (2001), UK (105)Cohort 3,900• Birth weight was associated with cognitive ability at age 8 (with an estimated SD score of 0.44 (95% CI 0.28–0.59)) between the lowest and highest birth weight categories
• At age 43 high birth weight (4,010–5,000) vs. normal birth weight
• Standardized cognitive score:
• Verbal memory −0.17 (−0.31 to −0.04)
• Search accuracy 0.02 (−0.11 to 0.16)
• Search speed −0.07 (−0.21 to 0.07)
3,010–3,500 gAdjusted for sex, father's social class, mother's education, birth order, and mother's age. From age 11 to age 43, each cognitive score was further adjusted for the score of previous ageModerateGoodGood
Räikkonen et al. (2013), Finland (106)Cohort 931The whole cohortMen who were born larger were more likely to perform better in the Finnish Defense Forces Basic Intellectual Ability Test over time [1.22–1.43 increase in odds to remain in the top relative to the lower two thirds in ability over time per each SD increase in body size (95% CI 1.04–1.79)]• No specific mention of birth weight categories
• Adjustments: gestational age, mother's age, height and parity; social class in childhood; history of breast feeding; education; diagnosis of diseases
LowGoodGood
Sörensen et al. (1997), Denmark (104)• Cohort
• 4,300
• The Boerge Piren test (validated intelligence test) increased from 39.9 at a birth weight of ≥2,500 g to 44.6 at a birth weight of 4,200 g.
• Above a birth weight of 4,200 g the test score decreased slightly
Adjusted for gestational age, length at birth, maternal age and parity, marital status, and employmentModerateGoodGood
Tamai (2020), Japan (101)Cohort 36,321• At 2.5 years:
• Unable to walk ARR 7.1 (95% CI 1.0–5.9)
• Unable to say meaningful words ARR 10 (95% CI 3.8–26)
• Unable to compose two-phrase sentence ARR 3.5 (95% CI 1.9–6.3)
• Unable to say his/her name ARR 1.9 (95% CI 1.2–3)
• Unable to use a spoon ARR 4.8 (95% CI 1.9–12.3)
• All differences disappeared at 5.5 years of age
• However not for LGA >3 SD
• −1.28 to 1.28 SD
• Normal birth weight
Adjustments: parity, singleton, gender, maternal age, maternal smoking, maternal and paternal education levelModerateGoodFair
van Mil et al. (2015), The Netherlands (100)• Cohort
• 6,015
• Risk of attention problems in children born with high birth weight percentile β (95% CI):
• The attention problems subscale of the CBCL/1.5–5***
• >90th percentile 0.05 (−0.02 to 0.12) p value 0.17
• >80th percentile 0.01 (−0.07 to 0.04), p = 0.61
Subjects born with birth weight AGAAdjusted for Apgar score 1 minute after birth, mode of delivery, maternal age, national origin, educational level, parity, BMI, psychological symptoms, smoking, alcohol use, folic acid supplementation use, gestational diabetes, pre-eclampsiaModerateGoodGood
Yang et al. (2019), China (99)Cohort 9,295724• Behavioral problems
• Macrosomia (n = 268) OR 1.61 (95% CI 1.16–2.22)
Normal and low birth weightAdjustments: age, sexSeriousPoorGood
Zhang et al. (2020), China (102)Cohort4,026• Gross motor DQ ARC 0.49 (95% CI 0.36–0.63)
• Fine motor DQ ARC −2.73 (95% CI −2.87 to −2.59)
• Adaptability DQ ARC −1.19 (95% CI −1.33 to −1.05)
• Language DQ ARC 0.43 (95% CI 0.29–0.57)
• Social behavior DQ ARC 1.10 (95% CI 0.95–1.24)
• Overall no clear differences
Normal birth weightAdjustments: maternal smoking, gender of infant, mode of delivery, neonatal asphyxia, birth length, gestational week, educational level of parentModerateFairFair

LGA, high birth weight, and long-term outcomes—cognitive performance.

**

Teacher's Checklist of Psychopathology.

***

Child Behavior Checklist.

AGA, appropriate for gestational age; AOR, adjusted odds ratio; ARC, adjusted regression coefficient; ARR, adjusted relative risk; BMI, body mass index; CBCL, The Child Behavior Checklist; DQ, development quotient; ID, intellectual disability; IQ, intelligence quotient; LGA, large for gestational age; NA, not available; OR, odds ratio; SDS, standard deviation score; TCP, The Teacher's Checklist of Psychopathology.

Autism

One case–control study with moderate risk of bias reported no association of LGA with autism or Asperger syndrome (103). Two cohort studies with moderate risk of bias reported a slightly increased risk for autism in children born LGA (104, 105).

Behavioral Problems

Four cohort studies reported results on associations between high birth weight/LGA and behavior/attention problems among children and adolescents aged 6–16 years, of which three reported an association between LGA and behavioral problems (106108).

In a study with low risk of bias, a higher risk for externalizing behaviors (inattention, hyperactivity/impulsivity, aggression, delinquency) was found in high birthweight children (106). In another study with moderate risk of bias, an association between birth weight and social problems was observed in babies at the higher end of the birth weight distribution (107). In contrast, one study (109) found that high birthweight children had no increased risk of attention problems. In a study from Japan, the relation between LGA and neurodevelopment was U-shaped, with mild LGA having the lowest risk and severe LGA (>3 SD) was associated with higher risk of unfavorable behavioral development (110), while another study found no association (111).

Cognitive Development

In five cohort studies with low or moderate risk of bias, high birth weight was associated with high cognitive ability (112115) and 7-year math score (116).

Intellectual Performance

Eight cohort studies investigated the association between high birth weight and intellectual performance, seven with moderate and one with serious risk of bias. Five of these studies consisted of a study population of Nordic conscripts (117121), one was a large cohort study of children born in Western Australia (104) and one study was from the USA (122). In five studies, no clear association was found between high birth weight and intellectual performance, risk of intellectual disability, or low IQ score (104, 117119, 121). However, in one study the crude mean IQ score was 1.2 points lower for those with the extreme birth weight (≥5,000 g) (120). The major part of the apparent association between high birth weight and low IQ score was caused by confounding family factors (120). Of note, the risk for subnormal intellectual performance was dependent on a BMI at young adulthood BMI >30 OR 1.86 (1.58–2.19) (119). In the recently published study from the USA, a slightly decreased risk of poor academic performance was noticed for LGA children (122). In addition, one study from UK Biobank, the middle birth weight category showed better performance for hearing, vision, reaction time, and IQ than the highest category (123).

Conclusion: High birth weight and/or LGA may be associated with a slight increase in autism and behavioral problems, low certainty of evidence (GRADE ⊕⊕OO). High birth weight may be positively associated with cognitive ability, low certainty of evidence (GRADE ⊕⊕OO). No association was found between high birth weight and/or LGA and intellectual performance, moderate certainty of evidence (GRADE ⊕⊕⊕O).

Cardiovascular Health

Outcomes are listed in Table 1.3. Two SR/meta-analyses of high quality, one on hypertension and blood pressure (19) and one on coronary heart disease (CHD) (124), were included, together with 27 original articles.

Table 1.3

Author, year, countryStudy designCasesOutcomes (risk estimates)Reference group (weight)Comments/adjustmentsRisk of biasDirectnessPrecision
Cardio-vascular
Systematic review/meta-analysis, n=2
Zhang et al. (2013), China (19)• SR meta-analysis
• 31 studies
NA for hypertension• Overall weighted mean differences (WMD) (all age groups)
• SBP: −0.25 mmHg (95% CI −0.92 to 0.42)
• DBP: 0.20 mmHg (95% CI −0.23 to 0.62)
• Hypertension:
• RR: 1.00 (95% CI 0.93–1.06)
• SBP, DBP, and risk of hypertension are higher among individuals with HBW during childhood but lower during adulthood
• NBW 2,500–4,000 g or the 10–90th percentile for GA
• NBW n = 559,979
Not specified
Wang et al. (2014), China (115)SR+ Meta-analysis• Cases with CHD:
n = 11,218
• –
• CHD in HBW vs. NBW
• Pooled OR (random-effects model)
• OR 0.89 (95% CI 0.79–1.01)
NBW 2,500–4,000 gNon-Adjusted
CVD, Original articles, n = 21
Blood pressure/hypertension, n = 14
Azadbakht et al. (2014), Iran (116)• Cohort
n = 5,528
n = 2,726 girls
n = 2,802 boys
• HBW
• High SBP AOR 0.6 (95% CI 0.3–1.2)
• High DBP AOR 0.8 (95% CI 0.4–1.6)
2,500–4,000 gAdjustments: Age, sex, SES, parent's income, parent's education, birth order, family history of chronic disease, breast feeding during, type complementary food, sedentary lifestyle, BMISeriousFairFair
Dong (2017), China (117)• Cross sectional
• High birth weight n = 4,981
• Normal birth weight n = 4,981
• High blood pressure
• Boys n = 2,144
• Girls n = 1,086
• High blood pressure
• Boys: AOR 0.96 (95% CI 0.77–1.20)
• Girls: AOR 0.91 (95% CI 0.68–1.22)
2,500–3,999 g• Matched age, sex, province
• Adjusted: Parental education, delivery, breast feeding, family history of disease, food intake and physical activities, BMI
SeriousPoorGood
Espineira (2011), Brazil (118)• Cohort
n = 515
Continuous outcomeLGA had higher BP than controls (p < 0.05)AGA• Gender matched
• Adjusted: Gender, waist circumference and height
SeriousFairPoor
Ferreira (2018), Brazil (119)• Cross-sectional
• School based
n = 829
• High BP
• *OBP 8.5% n = 70
• **HoBP 3.8%
n = 32
Each increase of 100 g in birth weight did not influence office or home BPBWSimple linear regression analysisSeriousFairFair
Gunnarsdottir et al. (2002), Iceland (120)• Cohort
n = 4,601 total
n = 2,337 men
n = 2,264 women
• Hypertension
• 40–47% of women
• 59–61% of men
• Numbers NA
• Risk for hypertension
• Women, AOR (95% CI):
• ≤ 3.45 kg
• 1.4 (95% CI 1.1–1.8)
• >3.45 to ≤3.75 kg
• (95% CI 0.8–1.3)
• >4.0 kg
• 0.9 (95% CI 0.7–1.2)
• P for trend* <0.001
• P for trend** <0.001
• Men, AOR (95% CI):
• ≤ 3.45 kg
• (95% CI 0.8–1.3)
• >3.45 to ≤3.75 kg
• (95% CI 0.8–1.2)
• >4.0 kg
• 0.8 (95% CI 0.7–1.1)
P for trend* <0.051
P for trend** <0.004
• Inverse association between size at birth and adult hypertension, strongest among women born small who were overweight in adulthood and for those without a family history of hypertension
3,750–4,000 g• Adjusted for adult BMI, education, smoking habits, physical activity or family history of hypertension
• Adjusted for trend:
• *age, year of birth
• ** age, year of birth, BMI
ModerateGoodGood
Kuciene et al. (2018), Lithuania (121)• Cross-sectional
• Singleton, adolescents n = 4,598
• Boys n = 2,103
• Girls n = 2,495
• High blood pressure
n = 1,178
• Risk for high blood pressure
• >4,000 g AOR 1.34 (95% CI 1.11–1.63)*
• LGA AOR 1.44 (95% CI 1.16–1.79)*
• >4,000 g and normal weight in adolescence:
• AOR 1.37 (95% CI 1.11–1.70)**
• 2,500–4,000 g and overweight/obesity
• AOR 3.63 (95% CI 2.99–4.41)**
• >4,000 g and overweight/obesity
• AOR 4.36 (95% CI 3.04–6.26)**
• LGA and normal weight in adolescence:
• AOR 1.40 (95% CI 1.10–1.80)**
• AGA and overweight/obesity
• AOR 3.39 (95% I 2.79–4.13)**
• LGA and overweight/obesity
• AOR 5.03(95% CI 3.33–7.60)**
• 2,500–4,000 g
• AGA
• *Adjustments in multivariable logistic regression analysis:
• age, sex, and BMI
• ** Adjustments in multivariable logistic regression analysis:
• age and sex
ModerateGoodFair
Launer et al. (1993), Netherlands (122)• Cohort
n = 374
Continuous outcomeRelation between SBP and birth weight appeared U-shaped in 4-year-old childrenBirth weightAdjusted for sex, gestational age, birth length, BP at 1 week (mmHg), blood pressure at 3 months (mmHg), current weight (kg)SeriousFairPoor
Ledo et al. (2018), Brazil (123)• Cross-sectional
n = 719
• SBP >90th
• percentile
n = 22
• DBP >90th
• Percentile
n = 36
HBW was not associated with high blood pressure2,500–3,999 gAdjusted for sexModerateFairPoor
Li et al. (2006), USA (124)• Longitudinal cohort
n = 98
• NA
• Continuous outcome
• Birth weight was inversely associated with SBP in children in pre-pubertal stage but was not statistically significant in early or late puberty (r = −0.23 (SD 1.1), p < 0.05)
• SBP significantly increased from pre-puberty to early or late puberty (sexual maturation) among children with HBW
<4,000 gAdjusted for gender, race, age, pubertal status, BMI percentileSeriousPoorFair
Li et al. (2013), China (125)• Cohort
• Childhood
n = 1,415
• Adolescence n = 1,112
Continuous outcome• Childhood SBP and DBP:
• No statistically significant difference
• Adolescence
• SBP
• Cases: 110.83 ± 9.43 mmHg
• Controls: 109.33 ± 9.26 mmHg
P = 0.0002
• DBP
• Cases:72.10 ± 6.39 mmHg
• Controls: 71.58 ± 6.47 mmHg
P = 0.055
• Similar results after adjustment in multi-mixed model
2,500–4,000 g• Controls matched by sex and birth date
• Adjustment in multi-linear analysis:
• Repeated measures, birth year, sex, mother's occupation, age of delivery and adding weight during pregnancy, hypertension during delivery, gestational age, parity, and picky eating in childhood
ModerateFairFair
Schooling et al. (2010), China (126)• Longitudinal cohort study
• Men n = 5,051
• Women
n = 13,907
• High blood pressure
• Men 55.9% (n = 2,824)
• Women 47.2% (n = 6,564)
• Risk of HBP
• per birth weight SD:
• All: AOR 0.94 (95% CI 0.91–0.97)
Birth weightAdjusted for study phase, age and sex, SES, number of offspring, height, BMI, WHRSeriousPoorGood
Strufaldi et al. (2009), Brazil (127)• Cross-sectional
n = 739
Continuous outcome• Inverse association between birth weight and BP
• SBP and DBP was negatively associated with BW
• Adjusted SBP:
• Q1: 105.3 (95% CI 103–107.5)
• Q2: 94.8 (95% CI 92.7–96.9)
• Q3: 95.5 (95% CI 93.4–97.6)
• Q4: 95.7 (95% CI 93.6–97.8)
• BW quartiles.
• Q1: ≤2.9 kg
• Q2: 2.91–3.20 kg
• Q3: 3.21–3.58 kg
• Q4: >3.58 kg
Adjusted for gender, prematurity, BMISeriousFairFair
Tan et al. (2018), China (128)• Cohort
n = 49,357
• High SBP
n = 7,654High DBP
n = 4,787Hypertension
n = 9,479
• High birth weight
• Adjusted OR of hypertension
• AOR 0.84 (95% CI 0.77–0.92)
• High SBP
• AOR 0.89 (95% CI 0.80–1.00)
• High DBP
• AOR 0.82 (95% CI 0.75–0.90)
• BW had a negative association with BP across the whole BP range
2.5–4.0 kgAdjusted for age, gender, height, BW/gestational age, family history of hypertension, parental educational level, family income, region, BMISeriousFairGood
Yiu et al. (1998), USA (129)• Cohort
n = 2,958
Continuous outcome• HBW >4,500 g (97th percentile)
• Significant inverse relationship between birth weight and SBP. For every 1-kg decrease in BW in term infants, SBP increased by 1.3 mmHg and DBP by 0.6 mmHg
AGA (3rd−97th percentile)Adjusted for gestational age, race, sex, follow-up height, follow-up weightSeriousPoorPoor
Coronary heart disease (CHD), n = 1
Rashid et al. (2019), USA (130)• Cohort
n = 9,820
• Incident heart failure
n = 432
• HBW compared with medium BW:
• Incident heart failure:
• AHR 1.27 (95% CI 1.05–1.54)
• No significant association with all-cause mortality or myocardial infarction
2,500–4,000 gAdjusted for age, sex, BMI, current and former smoking, ethanol intake, hypertension, diabetes mellitus, left ventricular hypertrophy, income, systolic BP, and high-density lipoproteinSeriousFairFair
Atrial fibrillation/other cardio-vascular risk factors, n = 6
Conen et al. (2010), USA (131)• Longitudinal prospective cohort
n = 27,982
• Cases AF
n = 735
• Risk of AF in BW categories
• Adjusted HR
• >4,500 vs. <2,500 g
• *AHR 1.63 (95% CI 1.07–2.50)
• Fully adjusted HR
• **AHR 1.29 (95% CI 0.84–1.98)
• P-linear trend 0.23
<2,500 g• *Age, hypercholesterolemia, smoking, exercise, alcohol consumption, education, race, HRT therapy, BMI, SBP, DBP, diabetes
• **All above plus adult height, body weight between 18 and 30 years
SeriousFairFair
Johnsson et al. (2018), Sweden (133)• Cohort, matched
n = 644,
• only 54 participated
Continuous outcome• No differences regarding blood pressure, lipid profiles, apolipoproteins, high-sensitivity CRP, or common carotid artery (CCA) wall dimension
• Cases: 37% higher intima thickness in radial artery (RA-IT) (p < 0.01) and 44% difference in radial intima/media ratio (RA-I:M ratio) (p < 0.01)
3,140–3,950 gRA-IT and RA-I: M adjusted for gender, gestational age, smoking, BMI, systolic and diastolic blood pressure, CRP, and apolipoprotein B/A1 ratioCriticalPoorPoor
Larsson et al. (2015), Sweden (132)• Cohort
n = 29,551 men
n = 23,454 women
• Cases AF
n = 2,711 men
n = 1,491 = women
• Risk for atrial fibrillation
• Relative risk (RR)+95% CI 4,000–4,999 g
• Men
• ARR 1.03 (95% CI 0.94–1.15)*
• ARR 0.89 (95% CI 0.80–0.99)**
• Women
• ARR 1.07 (95% CI 0.91–1.27)*
• ARR 0.96 (95% CI 0.81–1.14)**
• ≥5,000 g
• Men
• ARR 1.29 (95% CI 1.05–1.58)*
• ARR 1.06 (95% CI 0.86–1.30)**
• Women
• ARR 1.50 (95% CI 1.01–2.24)
• ARR 1.21 (95% CI 0.81–1.81)**
2,500–3,999 g• Adjustments in multivariable logistic regression analysis:
• *Age, preterm birth,
• **Plus education, smoking status and pack year of smoking, family history of myocardial infarction before 60 years and age, history of coronary heart disease or heart failure, history of hypertension, history of diabetes, BMI, and height
ModerateGoodFair
Perkiömäki et al. (2016), Finland (135)• Cohort
• rMSSD:
n = 1,799 men
n = 2,279 women
• BRS:
n = 902 men
n = 1,020 women
Continuous outcome• In men higher birth weight was independently associated with poorer cardiac autonomic function [seated (r = −0.058, p = 0.014) and standing rMSSD (r = −0.090, p < 0.001), standing BRS (r = −0.092, p = 0.006)]. Multivariate analysis p < 0.05 for all.
• Same association was not seen in women
Birth weight• Vagally mediated heart rate variability (rMSSD, sitting or standing)
• Spontaneous baroreflex sensitivity (BRS) at age 46
• Adjusted for:
• Continuous adult variables: BMI, height, SBP, DBP, waist–hip ratio, glucose, glycated hemoglobin, total cholesterol, high density cholesterol, triglycerides
• Categorized adult variables: current smoking, sitting time, alcohol consumption, sufficiency of sleep, physical activity
ModerateGoodGood
Skilton et al. (2014), Finland (134)Cohortn = 696Continuous outcome• Mean carotid intima thickness:
• Adj. beta-coefficient:
• 0.022 (95% CI 0.007–0.036) (p = 0.003)
• No difference in brachial flow mediated dilation, BP between LGA and normal BW
Normal birth weight 50–75th percentileAdjusted for age, sex, study center, SES, marital status, cardiovascular risk factors, BMIModerateGoodFair
Timpka et al. (2019), UK (136)• Longitudinal cohort study
n = 1,964
Continuous outcomeHigher BW z-scores were associated with small differences of diastolic function in adolescenceZ-scores between 10th and 90th percentiles• Adjusted for maternal pre-pregnancy BMI, age, level of education and smoking during pregnancy
• Final model additionally adjusted for factors in adolescence; BMI, SBP, heart rate
ModerateFairFair

LGA and high birth weight and long-term outcomes—cardio-vascular diseases.

BW, birth weight; HBW, high birth weight; NBW, normal birth weight; GA, gestational age; LGA, large for gestational age; AGA, appropriate for gestational age; SGA, small for gestational age; BMI, body mass index; HBP, high blood pressure; SBP, systolic blood pressure; DBP, diastolic blood pressure; SES, socioeconomic status; CHD, coronary heart disease; AF, atrial fibrillation; OBP, office blood pressure; HoBP, home blood pressure; AOR, adjusted odds ratio; AHR, adjusted hazard ratio.

Blood Pressure and Hypertension

The SR and meta-analysis by Zhang et al. (19), including 31 studies on the association between high birth weight or LGA and blood pressure or hypertension, showed that high birth weight in younger children (6–12 years) was associated with a higher systolic and diastolic blood pressure, while in older adults (41–60 years) the reverse association was found. The same pattern was seen for the relative risk of hypertension. The authors describe the phenomenon as a “catch-down” effect in the elevation of blood pressure that is observed in subjects with high birth weight as they grow older (19). Hence, older individuals with high birth weight are less likely to develop hypertension than those with normal birth weight (19).

Fourteen original studies (125138), not included in the review by Zhang et al. (19) were found. Four studies, all with serious risk of bias, showed an inverse relation between high birth weight/LGA and blood pressure, but the mean age of the individuals included in the studies varied tremendously ranging from 6–9 to >50 years of age. Six studies, four with serious and two with moderate risk of bias, showed no association between high birth weight/LGA and blood pressure/hypertension. The two studies with moderate risk of bias included individuals with age ranging from 6–18 years (126) to 33–65 years (129). Finally, four studies, one with moderate risk of bias and three with serious risk of bias, showed that high birth weight/LGA was positively associated with high blood pressure/hypertension. The study with moderate risk of bias included individuals with age 12–15 years (130).

Conclusion: There may be an association between high birth weight and hypertension in childhood, low certainty of evidence (GRADE ⊕⊕OO).

There may be an inverse association between high birth weight and hypertension in adulthood, low certainty of evidence (GRADE ⊕⊕OO).

Coronary Heart Disease

One SR of high quality including 27 articles on birth weight and CHD in adults was identified (124). A meta-analysis based on six prospective cohort studies on CHD exploring the risk of CHD in high birthweight children found no difference in the risk of CHD in children with high birth weight [OR 0.89 (95% CI 0.79–1.01)] (124). Furthermore, the meta-analysis showed that a 1-kg increase in birth weight is associated with a lower risk of CHD [OR 0.83 (95% CI 0.80–0.86)].

Only one original study (139) from the USA was identified which was not included in the SR.

Conclusion: There is probably no difference in the risk of CHD in men and women born with high birth weight compared with adults born with normal birth weight, moderate certainty of evidence (GRADE ⊕⊕⊕O).

Atrial Fibrillation and Other Cardiovascular Outcomes

Two studies with serious (140) and moderate risk of bias (141) explored the association between high birth weight and atrial fibrillation in adulthood and found no association.

Two studies found higher thickness of the radial artery intima (142) and the carotid artery intima (143) in adults of high birth weight or LGA while other cardiovascular risk factors and arterial function did not differ. In a Finnish study with moderate risk of bias, men with higher birth weight had a higher risk of poor cardiac autonomic function while the same association was not seen in women (144). Finally, higher BW z-scores were associated with small differences in diastolic function in adolescence in a study with moderate risk of bias (145).

Conclusion: It is uncertain if there is an association between high birth weight or LGA and altered cardiovascular function in adulthood, very low certainty of evidence (GRADE ⊕OOO).

Diabetes

Outcomes are listed in Table 1.4.

Table 1.4

Author, year, countryStudy designCasesOutcomes (risk estimates)Reference group (weight)Comments/adjustmentsRisk of biasDirectnessPrecision
Type 1 and type 2 diabetesSystematic review/meta-analysisn=6
Cardwell et al. (2010), UK (137)• Type 1 diabetes
• Meta-analysis
• Cohort n = 5 case–control n = 20
• 30 populations
12,087• Birth weight >4,000 g:
• OR (cohort studies) 1.15 (95% CI 1.05–1.26)
• OR (case–control studies) 1.05 (95% CI 0.95–1.17)
• AOR (all studies) 1.11 (95% CI 1.03–1.20)
3,000–3,500 gAll ages included in risk estimates not only children/adolescents <18 years
Harder et al. (2007), Germany (158)• Type 2 diabetes
• Meta-analysis
• cohort n = 10
• case–control n = 3
6,901• Birth weight >4,000 g:
1OR 1.27 (95% CI 1.01–1.59)
2OR 1.36 (95% CI 1.07–1.73)
1 ≤ 4,000 g
22,500 g
• 4,000 g
No separate OR calculated for children/adolescents <18 years
Harder et al. (2009), Germany (18)• Type 1 diabetes
• Meta-analysis
• cohort n = 2
• case–control n = 10
7,491• Birth weight >4,000 g:
• OR. 1.17 (95% CI 1.09–1.26)
• AOR 1.43 (95% CI 1.11–1.85)
<4,000 gAdjusted for confounders in seven of the included studies and wide difference in the number of confounders ranging from 2 to 14
Knop et al. (2018), China (160)• Type 2 diabetes
• Systematic review, meta-analysis
• 49 studies
• Cohort n = 36
• Case–control n = 8
• Cross-sectional n = 5
• (for high birth weight 32 studies)
43,549• Birth weight >4,500 g:
• OR 1.19 (95% CI 1.04–1.36)
4,000–4,500 gAdult only (>18 years)
Whincup et al. (2008), UK (159)Type 2 diabetes systematic review, meta-analysis6,260• Per 1,000-g increase:
• OR 0.80 (95% CI 0.72–0.89)
• Birth weight >4,000 g:
• OR 1.35 (95% CI 0.67–2.72)
<4,000 gAdults
Zhao et al. (2018), China (161)• Type 2 diabetes
• Meta-analysis,
• Cohort n = 16
• Case–control n = 5
22,341• Birth weight >4,000 g:
• OR was calculated for all ages:
• OR 1.11 (95% CI 1.00–1.24)
2,500–4,000 gOnly 2 studies were limited to children/adolescents less than 18 years, both were case–control studies. No separate calculated OR for children/adolescents separately
Original articles
Type 1 diabetesOriginal articlesn =20
Bock et al. (1994), Denmark (144)Case–control837• No statistical differences in mean birth weight between the cases and controls:
• 3,381, SD 536 g vs. 3,351, SD 602 g
• Exclusion criteria: mother with IDDM at the time of birth
• No risk estimates
SeriousGoodFair
Borras et al. (2011), Spain (145)Case–control306• LGA >90 percentile
• OR for diabetes 1.45 (95% CI 1.02–2.07)
10–90th percentile• No adjustment
• 43 of originally 349 cases excluded due to missing data on birth weight
SeriousGoodFair
Cardwell et al. (2005), UK (138)Cohort study991• Birth weight >4,000 g:
• ARR 1.68 (95% CI 1.30–2.18)
• Birth weight 3,500–3,999 g:
• ARR 1.48 (95% CI 1.20–1.83)
<3,000 g• Adjusted for maternal age, birth order, year of birth, gestational age
• Missing data 8%
ModerateGoodGood
Goldacre (2017), UK (139)Cohort study2,969• Birth weight 4,000–5,499 g:
• AHR 1.12 (95% CI 0.99–1.27)
• Birth weight 3,500–3,999 g:
• AHR 1.11 (95% CI 1.02–1.22)
3,000–3,499 gAdjusted for infant sex, gestational age, maternal type 1 diabetes, maternal obesity, deprivation quintile, and caesarean sectionModerateGoodGood
Haynes et al. (2007), Australia (146)Cohort840• Birth weight ≥4,000 g:
• IRR 1.19 (95% CI 0.95–1.49)
• Birth weight 3,500–3,999 g:
• IRR 1.09 (95% CI 0.92–1.28)
3,000–3,499 gAdjusted for maternal age, gestational age, birth order, and year of birthModerateGoodGood
Levins et al. (2007), UK (140)Cohort518• Estimated rate of diabetes (<15 years) in birth weight categories:
• 3,500–3,999: Rate 1.55 (95% CI 1.28–1.86)
• ≥4,000: Rate 1.65 (95% CI 1.17–2.26)
No ref groupAdjusted for year of birth, Rates only per 1,000 individuals presented. No difference between birth categoriesSeriousGoodFair
Jones et al. (1999), UK (147)Case–control study315• Birth weight 3,500–3,900 g:
• ARR 1.00 (95% CI 0.74–1.36)
• Birth weight ≥4,000 g:
• ARR 1.15 (95% CI 0.76–1.75)
3,000–3,499 gAdjusted for maternal age, parity, birth weight for gestational age, gestational age and year of birth. Data included in Ievins (1997) and more restricted data materialModerateGoodFair
Khashan et al. (2015), Sweden (141)Cohort study13,944• Birth weight 4,000–5,500 g:
• ARR 1.01 (95% CI 0.96–1.05)
• LGA (+2 SD above mean) vs. AGA
• RR 1.14 (95% CI 1.04–1.24)
3,000–3,999 gAdjusted for offspring age as a time-dependent variable, year of birth, maternal age, education, BMI, country of origin, pre-gestational diabetes, gestational diabetes and infant sexLowGoodGood
Kuchlbauer et al. (2014), Germany (142)Cohort study1,117No risk estimate available. cases with type 1 diabetes had higher birth weight measured as SDS (0.15 vs. 0.03) than the newborn in the control SDS (z-scores) are calculated from birth weights based on population reference valuesNo adjustment. No risk estimatesCriticalGoodFair
Lawler-Heavner et al. (1994), USA (148)Case–control study221• Birth weight 3,500–3,999 g:
• AOR 0.9 (95% CI 0.5–1.7)
• Birth weight ≥4,000 g:
• AOR 1.0 (95% CI 0.4–2.5)
<3,000 gAdjusted for sex, age and birth in ColoradoSeriousGoodFair
McKinney et al. (1999), UK (149)Case–control study196• Birth weight ≥3,500 g:
• OR 1.01 (95% CI 0.68–1.51)
2,500–3,000 gUncertain whether the results are adjusted or notSeriousGoodFair
Metcalfe and Baum (1992), UK (150)Case–control study952• Results given according to proportions in three categories of birth weight:
• <2,500: insulin-dependent diabetes mellitus (IDDM) 65 (7%), Office of Population Censuses and Surveys (OPCS) 32,779 (6%)
• 2,500–3,999: IDDM 783(82%), OPCS 509707 (86%)
• ≥4,000: IDDM 104 (11%), OPCS 46012 (8%)
No adjustments. No risk estimates. No conclusions drawnSeriousGoodFair
Patterson et al. (1994), UK (151)Case–control study529• Birth weight ≥4,000 g;
• OR 1.14 (95% CI 0.75–1.74)
2,500–3,999 gNo adjustmentsSeriousGoodFair
Rosenbauer et al. (2008), Germany (152)• Case–control
• Nationwide hospital-based surveillance (ESPED)
• 760
• 719 cases in birthweight analysis
• Birth weight ≥4,000 g:
• AOR 1.28 (95% CI 0.94–1.73)
3,000–3,999 gProbably adjusted for familiar type 1 diabetes, social status, maternal age, number of siblings and change of residencyModerateGoodFair
Stene et al. (2001), Norway (143)Cohort study1,824• 3,500–3,999 g: RR 2.11 (95% CI 1.24–3.58)
• 4,000–4,499 g: RR 2.38 (95% CI 1.39–4,06)
• ≥4,500 g: RR 2.21 (95% CI 1.24–3.94)
<2,000 gAdjusted for sex, maternal age, plurality, birth weight, gestational age, caesarean section, pre-eclampsia, year of birthLowGoodFair
Stene and Joner (2004), Norway (153)Case–control study545• 3,500–3,999 g: AOR 0.94 (95% CI 0.44–1.99)
• ≥4,000 g: AOR 1.01 (95% CI 0.46–2.29)
<2,500 gAdjusted for sex, maternal age, plurality, birth weight, gestational age, caesarean section, pre-eclampsia, duration of breast feeding, maternal education, atopic eczema, allergic rhino-conjunctivitis and asthmaLowGoodFair
Tai et al. (1998), Taiwan (154)Case–control117• Birth weight ≥4,000 g:
• AOR 0.97 (95% CI 0.39–2.45)
<3,000 gAdjusted for age, sexCriticalPoorPoor
Wadsworth et al. (1997), UK (155)Case–control• 281
• 218 cases included in the analysis
• No significant association with birth weight analyzed as a continuous variable
• Unadjusted OR per kg increase in birth weight 0.94 (95% CI 0.65–1.35)
UnadjustedSeriousGoodPoor
Waernbaum et al. (2019), Sweden (156)Case–control study14,949AOR 1.08 (95% CI 1.06–1.10)Birth weight z-score category with the interval 0–1 as referenceAdjusted for urinary tract infection, PROM, maternal age, PTB, maternal BMILowGoodGood
Wei et al. (2006), Taiwan (157)Case–control study277≥4,000 g: AOR 1.01 (95% CI 0.46–2.29)<2,600 gAdjusted for age, sex, socioeconomy, family history of diabetes„ delivery order, breast feeding, BMI, and GDMModerateFairFair
Type 2 diabetes
Hu et al. (2020), China (163)Cohort48,118≥4,000 g: AOR 1.20 (95% CI 1.07–1.34)2,500–3,499 gAdjustments: age, gender, smoking, drinking, education, physical activity, diet habits, systolic blood pressure, dyslipidemia, BMIModerateFairGood
Zhu et al. (2013), China (164)Cross-sectional survey• 903 children with overweight
• 2 with type 2 diabetes
• 6 with impaired fasting glucose
• 16 with impaired glucose tolerance
• 2 with impaired fasting glucose + impaired glucose intolerance
• Birth weight ≥4,000 g:
• AOR 1.92 (95% CI 1.06–3.49)
• Subgroup of girls analyzed separately:
• AOR 4.38 (95% CI 1.21–15.85)
2,500–3,999 gAdjusted for age, gender, parental education. Only few children with type 2 diabetes or impaired fasting glucoseModerateFairFair

LGA and high birth weight and long-term outcomes—type 1 and type 2 diabetes.

LGA, large-for-gestational-age; AGA, appropriate-for-gestational-age; HOMA-IR, homeostasis model assessment-insulin resistance; MS, metabolic syndrome; GDM, gestational diabetes mellitus; LBW, low birth weight; HBW, high birth weight; NBW, normal birth weight.

Type 1 Diabetes

Two SR and meta-analyses (18, 146) (moderate and low quality), six cohort studies (147152), and 14 case–control studies (153166) reported on the association between high birth weight or LGA and type 1 diabetes. Both SR/meta-analyses reported an association between high birth weight and childhood-onset type 1 diabetes [AOR of 1.43 (95% CI 1.11–1.85) and AOR 1.11 (95% CI 1.03–1.20)] (18, 146).

Of the 20 original studies, four were assessed being of low, six of moderate, and the rest of critical or serious risk of bias.

Our meta-analysis, including 13 studies, found a pooled OR of 1.15 (95% CI 1.05–1.26) for type 1 diabetes when comparing birth weight >4,000 g with <4,000 g (Figure 9). For LGA vs. AGA, the OR was 1.1 (95% CI 1.03–1.21) (Figure 10). All but one study (163) included children below 18 years of age. Two of the eight studies not included in the meta-analysis had moderate risks of bias and these studies found no significant association between high birth weight and type 1 diabetes. Other studies not included in the meta-analysis were of serious or critical risk of bias.

Figure 9

Figure 10

Conclusion: High birth weight and/or LGA is probably associated with a slight increase in type 1 diabetes, moderate certainty of evidence (GRADE ⊕⊕⊕O).

Type 2 Diabetes

Four SR investigated the association between birth weight/high birth weight and type 2 diabetes (167170). Three of these SR were considered being of high quality (168170). The literature search identified few additional studies (171, 172). The SR by (168, 170) only included adults while the SR by (167, 169) also included children; however, only in a few studies. The SR by Knop et al. (169) reported a slight increase in type 2 diabetes if birth weight is above 4,500 g, OR 1.19 (95% CI 1.04–1.36), while the SR by Zhao et al. (170) found no increase, OR 1.11 (95% CI 1.00–1.24) for birth weight above 4,000 g. The SR by Knop et al. (169) pointed out the J-shaped association with a higher risk, particularly at low and to a less extent at high birth weight.

Conclusion: High birth weight may be associated with a slight increase in type 2 diabetes, low certainty of evidence (GRADE ⊕⊕ OO).

Discussion

In this systematic review and meta-analysis, we have summarized the evidence for an association between high birth weight and/or LGA and some severe long-term outcomes for the children (Supplementary Table 5). The outcomes included are malignancies in childhood and breast cancer, cardiovascular diseases, psychiatric disorders, and diabetes type 1 and 2. To clarify if such associations exist and if so, the magnitude of these associations is of high importance for children born after spontaneous conception in view of the dramatic increase in obesity among women of childbearing age and the associated rise in high birth weight babies. In ART, these findings are important due to the increase in frozen/thawed cycles in ART and the recent findings of higher risks of high birth weight and LGA in offspring from FET cycles.

The systematic literature search identified a huge number of articles which were scrutinized and 173 of these publications were selected for this review.

The choice of the selected types of malignancies was based on the number of publications. Thus, our SR does not include all types of malignancies, but the ones where most publications were identified. The metabolic part was limited to diabetes type 1 and 2. Cardiovascular and psychiatric diseases were selected due to being common in the population and having a high impact on human health.

Malignancies

We found a small to moderately increased risk for all types of malignancies studied, with estimates of OR between 1.19 and 1.69. The most pronounced association was found for Wilm's tumor. The biological mechanism linking fetal growth and cancer is largely unknown (51). The observation in children with overgrowth disorders, such as Beckwith–Wiedemann syndrome (BWS), supports a theory that the number, size, and proliferative potential of muscle stem cells (173) which correlate with birth weight are involved. These cells are particularly susceptible to oncogenic mutations and thus a faster growing fetus may involve an increased cancer risk. BWS children, characterized by increased fetal growth, are prone to a wide range of cancers, including Wilm's tumor and leukemia (174). BWS is caused by overexpression of insulin-like factor 2 (IGF-2) gene. Furthermore, several cancers in adults are associated with increased levels of IGFs. Since IGF levels also are increased in heavy babies without these syndromes, there may be a more general association between levels of IGF in newborns and risk of childhood cancer (175). Further support for the IGF-1 theory comes from a study on children with congenital IGF-1 deficiency who seems to be protected against the risk of developing cancer (176). Other suggested mechanisms include exposure of fast-growing babies to elevated levels of estrogen in utero and/or epigenetic mechanisms, both associated with fetal birth weight and cancer risk (177).

Psychiatric Disorders

Four out of six cohort studies on high birth weight and/or LGA and schizophrenia reported an increased risk of developing schizophrenia in the offspring while no association was found in two studies in adjusted models. All these studies were performed in the Nordic countries and the limit for being born with high birth weight varied being >4,000 and >4,500 g. The mechanisms underlying the association between high birth weight and schizophrenia are unclear. It has been suggested that potential fetal exposure to gestational diabetes may play a role, as an association between maternal diabetes and schizophrenia among offspring has been found (94, 178). Furthermore, gestational diabetes may lead to macrosomic babies, who are at increased risk of delivery complications such as shoulder dystocia and asphyxia which also, per se, may increase a risk to later psychiatric problems (12, 94). Interestingly, in a study using self-report questionnaires, high birth weight increased the risk for depression only in women (99).

Interestingly, a recent systematic review suggested that high birth weight was protective of psychotic disorders in general (100). It was, however, unclear which studies were included in this review and no quality assessment was presented.

In many studies, several types of psychiatric disturbances were investigated and even combined. This may explain the contradictory results concerning high birth weight/LGA and psychiatric disorders. Environmental and socioeconomic status probably play an important role in a person's susceptibility for a psychiatric disease making those with higher socioeconomic status less vulnerable (102).

There might be an association between high birth weight/LGA and negative behaviors in adolescence. The reasons for this connection are largely unknown. Family and genetic factors certainly are important in the tendency of developing behavior problems, but the neurobiological mechanisms underlying interactions to high birth weight are unclear (106). Due to delivery complications, the macrosomic infants have an increased risk of birth trauma and asphyxia (12, 176). Such adverse perinatal outcomes are, per se, associated with later behavioral problems (179).

Most of the studies about intellectual performance and high birth weight have been carried out on male conscripts generally excluding women and part of the most vulnerable men. A reassuring notice was that no association was found between high birth weight/LGA and risk of intellectual disability, or low IQ score. However, according to Lundgren et al. (119) high BMI in adulthood had a negative effect on IQ level.

Cognitive performance was positively related to high birth weight at least up to the birth weight of 4,200 g (113). This association is thought to be mediated by optimal prenatal factors and healthy nutrition both pre- and postnatally. Such findings related to mental development emphasize the importance of maternal care during pregnancy (113).

Cardiovascular Diseases

Based on the current evidence, there may be an age-related association between high birth weight/LGA and high blood pressure in childhood while the opposite is found in adulthood. For CHD or cardiovascular function in adults, there was no obvious association with high birth weight or LGA. In the study by Wang et al. (124) the focus was on the relation between birth weight and CHD over the full birth weight range from low to high birth weight, and they found a consistent inverse relation between birth weight and CHD.

In general, individuals with high birth weight are taller and heavier later in life than subjects with normal birth weight (180). However, their metabolic health seems to be better later in life as they have less adipose tissue than lean mass (181).

Contradictory to the findings of a lower risk of CHD in children born with high birth weight, babies are more likely to be born large-for-gestational age in mothers with diabetes, increasing the risk of diabetes and CHD later in the children's life (18). High birth weight could be a result of gestational diabetes in the mother thus, hypothetically, high birth weight may be a potential risk factor of CHD in the offspring (182, 183).

Type 1 Diabetes

In our meta-analysis, high birth weight was associated with a slightly higher risk of type 1 diabetes in line with previous meta-analyses (18, 146).

The mechanism between high birth weight and type 1 diabetes seems unknown. It may be other factors besides the birth weight per se that are responsible for this association. Gestational diabetes and maternal overweight during pregnancy are risk factors for increased birth weight (184, 185). It has been suggested that maternal and/or fetal hyperglycemia also may predispose to an increased susceptibility of the overstimulated fetal pancreatic beta cells to processes causing type 1 diabetes (186, 187). Furthermore, a rapid postnatal growth during the first year of life also seem to be associated with a later risk of developing type 1 diabetes (18). Other triggering factors of the genetic predisposition may also be related to the association between high birth weight and type 1 diabetes (188).

Type 2 Diabetes

For type 2 diabetes, recently performed meta-analyses of high quality found some divergent results. Knop et al. (169) identified a small but significant increase in risk of type 2 diabetes at birth weight above 4,500 g while the meta-analysis by Zhao et al. (170), could not identify any increased risk; however, the estimate was of borderline significance. The biological mechanism behind such an association, if it exists, is a matter of debate. According to the fetal programming hypothesis, also small changes in organ maturation during the fetal period might result in altered growth and disordered endocrine function in adulthood (169).

Strengths and Limitations

The major strength of this systematic review is the comprehensive literature search, identifying a considerable number of relevant articles. The ability to present meta-analyses, either of high quality and recently published or new meta-analyses performed for the purpose of this SR, makes interpretation of the summarized literature easier to capture. The main limitation is that all data are based on observational studies, both cohort studies being of higher quality but also case–control studies with their inborn risk of selection bias. Our conclusions are, however, based mainly on meta-analyses and/or on studies with low risk of bias.

In conclusion, this systematic review and meta-analysis, investigating high birth weight and LGA as risk factors for adverse outcome in offspring, found elevated risks for certain malignancies in childhood, breast cancer, several psychiatric disorders, hypertension in childhood, although not in adulthood, and type 1 and type 2 diabetes. Although these risks represent serious health effects, both in childhood and in adulthood, the size of these effects seems moderate. The results are important for the overall implications of increasing birth weight and will contribute to the ongoing discussion of the pros and cons of fresh or frozen embryo transfer cycles in ART.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.

Author contributions

ÅM, HL, AL, NO, AP, LR, VS-A, and CB contributed to conception and design of the study. ÅM and CB search databases. Screening of abstracts and of full papers for inclusion was done by pairs of reviewers by ÅM, HL, AL, NO, AP, LR, VS-A, and CB. MP performed the statistical analysis. ÅM, HL, AL, NO, AP, LR, VS-A, MP, and CB wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Funding

This work was supported in part by grants from the Swedish state under the agreement between the Swedish government and the county councils the ALF-agreement (ALFGBG-70940), the Hjalmar Svensson's foundation, and the Research Council of Norway through its Centres of Excellence funding scheme, Project Number 262700.

Acknowledgments

We thank Gedeon Richter for providing travel, accommodation, and working facilities to the Nordic Collaboration Group. Furthermore, we thank librarian Helen Sjöblom for excellent help with literature search.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2021.675775/full#supplementary-material

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Summary

Keywords

assisted reproduction, frozen embryo transfer, large for gestational age, high birth weight, long-term morbidity, cancer, diabetes

Citation

Magnusson Å, Laivuori H, Loft A, Oldereid NB, Pinborg A, Petzold M, Romundstad LB, Söderström-Anttila V and Bergh C (2021) The Association Between High Birth Weight and Long-Term Outcomes—Implications for Assisted Reproductive Technologies: A Systematic Review and Meta-Analysis. Front. Pediatr. 9:675775. doi: 10.3389/fped.2021.675775

Received

03 March 2021

Accepted

19 April 2021

Published

23 June 2021

Volume

9 - 2021

Edited by

Ilknur Aydin Avci, Ondokuz Mayis University, Turkey

Reviewed by

Ayse Cal, Ankara Medipol University, Turkey; Nihar Ranjan Mishra, Veer Surendra Sai Medical College and Hospital, India

Updates

Copyright

*Correspondence: Åsa Magnusson

This article was submitted to Children and Health, a section of the journal Frontiers in Pediatrics

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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