Abstract
Introduction:
Prenatal period is the key time in human development. Many prenatal factors are well-known and increase the risk of developing diseases’ after birth. Few studies indicated the link between the prenatal period and the prevalence of migraine in childhood and adolescence so far. We decided to broaden current knowledge and investigate whether the prenatal factors influence the prevalence of migraine in adulthood. The objective of this study is to provide evidence of relationship between in utero environment and risk of migraine.
Methods:
In total 266 females (136 in the migraine group, 130 in the control group) and 80 males (35 in the migraine group, 45 in the control group), aged 18–65 participated in the study. The quality of prenatal environment was characterized on the basis of mother’s and father’s education, tobacco smoke exposure, alcohol consumption, and traumatic event during pregnancy, which are considered as prenatal factors and affect on fetal development.
Results:
Migraine occurrence in adulthood was significantly associated with maternal tobacco smoking during pregnancy (OR 3.42, 95% CI 1.54–7.61, p = 0.036) and traumatic event during pregnancy (OR 2.27, 95% CI 1.24–4.13, p = 0.020).
Discussion:
Our study suggests that the fetal programming effect of tobacco smoking exposure and maternal trauma is not limited to prenatal life and is suggested as having a role in adulthood. Our findings support evidence that migraine adulthood can be partly influenced by early life conditions.
1. Introduction
Primary headaches are the most prevalent non-communicable diseases (NCDs), but its public health impact have been neglected. In Europe, almost 80% of the adult population (aged 18–65) have suffered from tension-type headache (WHO, 2011). Migraine headache is less prevalent, unrelated to any other medical condition and ranked among the 10 leading causes of disabilities worldwide (GBD 2016 Headache Collaborators, 2018). Migraine is more than a moderate to severe headache on one side of a head. Furthermore, headache is often accompanied by nausea, vomiting, light and sound sensitivity, and visual, sensory, speech, or motor symptoms (IHS, 2018). Migraine background involves genetic and environmental factors, but little research has been done about prenatal factors (Ulrich et al., 1999; Mulder et al., 2003; Sutherland and Griffiths, 2017; Kobus et al., 2021).
This type of primary headache affects 14% people (aged from 0 to over 65 years) and its prevalence is significantly related to the sex (Stovner et al., 2022). In general population migraine is more common in women than in men (female-to-male ratio is 3:1) (Goadsby et al., 2002; Dodick, 2006). In childhood and adolescence the prevalence ranges from 7.7 to 9.1% (Abu-Arafeh et al., 2010; Wober-Bingol, 2013). If migraine onsets appeared in childhood, about half of the people will also suffer from it in adulthood (Dilling-Ostrowska, 2005). The risk is higher when migraine started manifesting itself during puberty (Barnes, 2015). In the study, we considered prevalence of migraine in adults as the delayed consequence of disturbances in the prenatal period of life. NCDs have common risk factors, which are related to the lifestyle. However, crucial role lies early in life conditions, the period from conception. The Developmental Origins of Health and Disease (DOHaD) theory describes long-term risk of the major NCDs (Gluckman et al., 2010).
The concept of intrauterine programming is a part of the DOHaD theory (Barker, 1990). For example, Barker’s hypothesis used birthweight as an indicator of the developmental processes with the long-term effects (Kwon and Kim, 2017). In general, pregnancy is a period of particular vulnerability to diseases that affects both mother’s and fetus’ health. Life challenging events (e.g., trauma; Zadzinska et al., 2013; Hjort et al., 2021), drugs (e.g., alcohol or tobacco exposure; Committee Opinion No 721, 2017; Popova et al., 2019) and care of both parents based on education are key factors of early human development (Mangrio et al., 2011).
The prenatal period is crucial in human life and is also the time of preparation for taking on new roles—mother and father. Parental behavior affects fetal and child development. So far it is known that tobacco exposure and alcohol consumption during pregnancy have been risk factors of migraine in offspring (Arruda et al., 2011; Bigal and Lipton, 2011; Fabbri et al., 2012). Most of these studies have been related to the prevalence of migraines in childhood or adolescence. Episodic, frequent, and chronic headaches are associated with sleep disorders (Bruni et al., 1997), peer problems (Strine et al., 2006), depression (Gazerani, 2021), anxiety (Maratos and Wilkinson, 1982; Gazerani, 2021), and high suicidal risk (Wang et al., 2007) in the aforementioned group.
There is little known about prenatal factors associated with increased migraine risk in adulthood. The main aim of this study was to examine if parental education and behavior during pregnancy are associated with development of migraine in adults. To the best of our knowledge, this is the first study that considered association of early exposure to selected prenatal factors in adult migraineurs.
2. Materials and methods
2.1. Participants
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethical Commission at the University of Lodz (no. 16/KBBN-UŁ/III/2018). Written informed consent form was obtained from all participants after receiving detailed study information. Patients were recruited in Norbert Barlicki Memorial University Teaching Hospital No. 1 in Lodz. The study included two groups: the group of 171 adults from neurological clinic, aged 18–65 (35 males, 136 females) and the control group of 175 adults from plastic surgery clinic, aged 20–65 (45 males, 130 females). We excluded 23 individuals over 65 owing to their advanced age (66–76-year-old), which implied a significant loss of memory and a limitation in terms of information about the their parents behavior during pregnancy (Lezak et al., 2012; Murman, 2015). Participants were examined by neurologist and categorized to the migraine group or the healthy individuals group without neurological diseases (according to the International Classification of Headache Disorders, third edition; IHS, 2018). Patients with chronic diseases were excluded from the study during the preliminary interview.
2.2. Questionnaire
We gathered data from the questionnaire, which covered the information about the participants’ prenatal period and was declared by them. Beside sex and age of respondents, the questionnaire included parental- and prenatal-related questions about: mother’s and father’s education, tobacco smoke exposure, alcohol consumption and traumatic event during pregnancy. In addition, we controlled hereditary trait and included a question about family history of migraine. Parental education levels were categorized into three sections: primary or vocational education, secondary education or Bachelor’s course graduates, and Master’s course graduates. Exposure to tobacco smoke during pregnancy was divided into maternal smoking (MSDP) and maternal passive smoking (MPSDP), defined as smoking by close relatives of the pregnant woman. Maternal trauma during pregnancy was related to the major stressful life events, which were given as the examples (death of a spouse or close person, divorce, personal injury or illness etc.; Holmes and Rahe, 1967). Answers of the prenatal-related questions were categorized as “yes”/“no”/“do not know,” family history of migraine as “yes”/“no.” In the both study groups, there were no missing data for each variable of interest. Research in adult groups may be limited with frequency of “do not know” reply than in pediatric groups, when parents complete questionnaires themselves.
2.3. Statistical analysis
Statistical analysis of the results was performed in the STATISTICA 13.0 program. All statistical calculations were carried out in spreadsheets after anonymization of the data. At the initial stage, we verified the accuracy of the questionnaire responses by using Test–Retest Reliability (Bland and Altman, 1986). Student t-test was used to access age differences; chi2 test was used to access sex and parental variables’ differences. We used stepwise logistic regression model for odds ratios (ORs) calculation with 95% confidence interval (CI).
3. Results
Median age for females was 39 (±12.6) years in migraine group and 40.5 (±11.3) years in control group. Median age for males was 36 (±13.0) years in migraine group and 34 (±10.6) years in control group. No statistically significant differences were found in age between migraine and control group (p = 0.384) and sex (p = 0.247) in both study groups. We repeated the questionnaire 1 month after the date of the first data collection on 30 participants (migraine group: N = 15, control group: N = 15). The results of the repeated questionnaires showed 100% agreement with the previous questionnaires. Only in the case of the question concerning alcohol consumption, the agreement was slightly lower (93%), which indicates a high reliability of the data obtained through the questionnaires.
Table 1 presents distribution of variables that were taken into consideration in the study. In the case of parents’ education, no significant differences were observed in either mother’s (p = 0.553) or father’s (p = 0.192) education level. Significant differences were found in terms of maternal traumatic event (p = 0.022), MSDP (p = 0.003), but not MPSDP (p = 0.095). The vast majority of respondents in the both study groups denied that their mother drunk alcohol during pregnancy (p = 0.282). In case of heritable trait, significant differences in family history of migraine were observed (p < 0.001).
Table 1
| Factor | Answer | Migraine group (F = 136, M = 35) | Control group (F = 130, M = 45) | Chi2 | p |
|---|---|---|---|---|---|
| N (%) | N (%) | ||||
| Mother’s education level | Master’s course graduates | 39 (22.8%) | 46 (26.3%) | 1.19 | 0.553 |
| Secondary education or Bachelor’s course graduates | 55 (32.2%) | 60 (34.3%) | |||
| Primary or vocational education | 77 (45%) | 69 (39.4%) | |||
| Father’s education level | Master’s course graduates | 45 (26.3%) | 37 (21.1%) | 3.30 | 0.192 |
| Secondary education or Bachelor’s course graduates | 44 (25.7%) | 60 (34.3%) | |||
| Primary or vocational education | 82 (48%) | 78 (44.6%) | |||
| Maternal smoking (MSDP) | Yes | 26 (15.2%) | 9 (5.1%) | 11.52 | 0.003 |
| No | 129 (75.4%) | 155 (88.6%) | |||
| Do not know | 16 (9.4%) | 11 (6.3%) | |||
| Maternal passive smoking (MPSDP) | Yes | 91 (55.2%) | 75 (42.9%) | 4.70 | 0.095 |
| No | 72 (42.1%) | 94 (53.7%) | |||
| Do not know | 8 (4.7%) | 6 (3.4%) | |||
| Alcohol consumption | Yes | 8 (4.7%) | 3 (1.7%) | 2.53 | 0.282 |
| No | 150 (87.7%) | 157 (89.7%) | |||
| Do not know | 13 (7.6%) | 15 (8.6%) | |||
| Traumatic event | Yes | 39 (22.8%) | 21 (12%) | 7.66 | 0.022 |
| No | 104 (60.8%) | 127 (72.6%) | |||
| Do not know | 28 (16.4%) | 27 (15.4%) | |||
| Family history of migraine | Yes | 101 (59.1%) | 13 (7.4%) | 104.4 | < 0.001 |
| No | 70 (40.9%) | 162 (92.6%) |
Distribution of parental and prenatal factors.
The standard logistic regression model is presented in Table 2 and the final model in Table 3. The stepwise logistic regression model showed that among the parental and prenatal factors MSDP and traumatic event during pregnancy significantly elevated risk of migraine in offspring (Table 3). MSDP increased the risk of migraine almost 4-fold (OR 3.42, 95% CI 1.54–7.61, p = 0.036), while maternal trauma increased the risk more than 2-fold (OR 2.27, 95% CI 1.24–4.13, p = 0.020). The effects of aforementioned factors explained 7% of migraine prevalence in Polish adults (Nagelkerke R2 = 0.07).
Table 2
| Effect | Nagelkerke R2 = 0.11 | |||||
|---|---|---|---|---|---|---|
| Coefficient | Standard error | Wald value | OR | 95% CI for OR | p | |
| Mother’s education level: Master’s course graduates1 | −0.210 | 0.210 | 0.999 | 0.64 | 0.30–1.37 | 0.317 |
| Mother’s education level: Secondary education or Bachelor’s course graduates1 | −0.024 | 0.175 | 0.018 | 0.77 | 0.40–1.48 | 0.892 |
| Father’s education level: Master’s course graduates1 | 0.361 | 0.213 | 2.867 | 1.60 | 0.75–3.42 | 0.090 |
| Father’s education level: Secondary education or Bachelor’s course graduates1 | −0.251 | 0.180 | 1.948 | 0.87 | 0.45–1.67 | 0.163 |
| Maternal smoking (MSDP): yes2 | 0.632 | 0.313 | 4.091 | 3.62 | 1.52–8.64 | 0.043 |
| Maternal smoking (MSDP): do not know2 | 0.023 | 0.320 | 0.005 | 1.97 | 0.80–4.84 | 0.943 |
| Maternal passive smoking (MPSDP): yes2 | 0.039 | 0.221 | 0.032 | 1.44 | 0.91–2.27 | 0.859 |
| Maternal passive smoking (MPSDP): do not know2 | 0.286 | 0.381 | 0.564 | 1.84 | 0.59–5.80 | 0.453 |
| Alcohol consumption: yes2 | 0.555 | 0.507 | 1.199 | 1.78 | 0.41–7.74 | 0.274 |
| Alcohol consumption: do not know2 | −0.533 | 0.369 | 2.084 | 0.60 | 0.25–1.44 | 0.149 |
| Traumatic event: yes2 | 0.473 | 0.216 | 4.803 | 2.12 | 1.15–3.90 | 0.028 |
| Traumatic event: do not know2 | −0.196 | 0.219 | 0.797 | 1.09 | 0.58–2.03 | 0.372 |
Standard model of logistic regression presenting the probability of migraine prevalence in adults.
vs primary or vocational education.
vs no.
OR, odds ratio; p, probability; Wald test was used to check regression variables’ relevance.
Table 3
| Effect | Nagelkerke R2 = 0.07 | |||||
|---|---|---|---|---|---|---|
| Coefficient | Standard error | Wald value | OR | 95% CI for OR | p | |
| Maternal smoking (MSDP): yes1 | 0.618 | 0.295 | 4.385 | 3.42 | 1.54–7.61 | 0.036 |
| Maternal smoking (MSDP): do not know1 | −0.007 | 0.301 | 0.001 | 1.83 | 0.80–4.17 | 0.981 |
| Traumatic event: yes1 | 0.492 | 0.211 | 5.407 | 2.27 | 1.24–4.13 | 0.020 |
| Traumatic event: do not know1 | −0.164 | 0.214 | 0.590 | 1.18 | 0.64–2.17 | 0.442 |
Stepwise logistic regression model presenting the probability of migraine prevalence in adults.
vs no.
OR, odds ratio; p, probability; Wald test was used to check regression variables’ relevance.
4. Discussion
During an individual development there are critical windows, such as fetal period, when fetus reacts to intrauterine environment and adapts to its conditions. During prenatal development, any distrubing conditions may bring delayed consequences during ontogenesis (Barker, 1990; Zadzinska et al., 2016; Koziel et al., 2018). As a result, possible adulthood diseases are being “programmed”—this process is persistent, but further determined by gene expression (Warner and Ozanne, 2010; Rinaudo and Wang, 2012). Intrauterine programming is based on genetic determinants and adaptive abilities of fetus to environmental conditions.
One of the possible effects of disturbances in prenatal development is inadequate birth weight, according to the sex and gestational age. Abnormal birth weight and its influence on risk of migraine was investigated by Borte et al. (2017). Researchers showed that growth restriction in utero was related to the greater risk of migraine in adults (Borte et al., 2017). In addition to the birth phenotype, the latest research (2022) showed for the first time that migraine was associated with physical performance results (Kobus et al., 2022a) and skin phenotype (Kobus et al., 2022b). It is intriguing, because at the prenatal stage melanocytes and nervous system share common origin.
In this study, among analyzed variables, maternal smoking during pregnancy (MSDP) had an effect on the development of migraine in adulthood. MSDP causes numerous health problems to the fetus including preterm birth (Kondracki and Hofferth, 2019), admission to the neonatal intensive care unit (Nichols et al., 2019), and e.g., has harmful influence on head growth and brain development (Scherman et al., 2018). The disturbances in head growth can be assessed by simple anthropometric measurement like head circumference (HC) immediately after birth, which is taken as an alternative indicator of brain size assessment (Bartholomeusz et al., 2002). Clinicians agree that HC measurement is adequate method identifying disturbances in brain growth patterns (Sacco et al., 2015). HC was significantly smaller for gestational age compared to offspring of non-smoking mothers (Kallen, 2000; Fenercioglu et al., 2009; Shiohama et al., 2021). Swedish cohort study (N = 1,362,169) showed that MSDP increased risk of reduced HC in accordance with daily cigarettes consumption from 1.5-fold (<10 cigarettes per day, OR 1.48) to 1.7-fold (>10 cigarettes per day, OR 1.74; Kallen, 2000). Another cohort study (N = 84,856), conducted in Japan, showed that MSDP resulted in 1.7-fold (1–5 cigarettes per day, OR 1.69) to over 5-fold (5–10 cigarettes per day, OR 5.19) higher risk of smaller HC than in infants unexposed to tobacco (Shiohama et al., 2021). MSDP affects head shape and size beyond fetal period. Polish study showed negative influence on postnatal head parameters in boys group, but did not in girls group (Koziel et al., 2018). As a matter of fact, males are more sensitive to environmental conditions in utero (Zadzinska and Rosset, 2013; Sutherland and Brunwasser, 2018). Additionally, intrauterine exposure to maternal smoking is related to reduce volume of cortical gray matter in childhood (El Marroun et al., 2014; Chatterton et al., 2017). Message about impaired prenatal and postnatal growth of offspring exposed to MSDP (Fenercioglu et al., 2009) and long-term consequences across ontogenesis have to be clearly emphasized (Richmond et al., 2015).
Fetal brain growth is dependent on oxygen supply. The major component in tobacco smoke is nicotine, which crosses placenta, enters fetal circulation and leads to contraction of placenta‘s blood vessels. Next ingredient of smoke is carbon monoxide, which has an ability to bind with hemoglobin. As a result occurs a limitation of the oxygen supply to the fetus. Protective mechanism reduces blood flow to placenta to limit adverse neuronal effect, which results in smaller transcerebellar diameter and lower brain volume (Roza et al., 2007). Reduced process of oxygen delivery results in lower birthweight, decreased placental weight (Wang et al., 2014) and increased risk of miscarriage (Mishra et al., 2000). In the recent study, Pietersma et al. (2022) examined for the first time relationship between MSDP before and after conception (14 vs. 10 weeks) and embryonic development. Virtual Reality techniques were used to access development and morphology of embryo. MSDP was associated with delayed embryonic morphological development, decreased fetal size, and lower birthweight. Embryos which were exposed to tobacco were not be able to “catch-up” during pregnancy as the result they were born with lower birthweight than expected for sex and gestational age. The major key finding of this study was that the delayed in embryonic development caused by MSDP during periconception period was associated with lower fetal growth. Prenatal ultrasound measurements were conducted at around 20 weeks of pregnancy. Researchers showed the importance of smoking cessation before conception. Taking all into consideration, the findings of this study emphasized that the best recommendation is smoking cessation at point of planning to become pregnant. Tobacco exposure affects embryo from the earliest stages of pregnancy. This underlines the importance of public health initiatives promoting education and preconception care (Pietersma et al., 2022).
Fabbri et al. (2012) reported in the group of children (8–10-year old) higher migraine prevalence in individuals with history of MSDP. In population-based study of a group of Brazilian children (5–12-year old), prenatal exposure to tobacco was associated with headache chronification (MSDP OR 2.29; MPSDP OR 4.2; Arruda et al., 2011). Our study showed that MSDP is one of the most important modifiable prenatal factor of migraine in the adult group (OR 3.42). This result emphasized the importance of education intervention programs prior to pregnancy. MSDP is serious a problem from public health perspective in Poland in the light of the fact that smoking is the most common addiction of reproductive aged women (Olejniczak et al., 2021). Although MPSDP was not significant in our study, it is noteworthy that smoking by close relatives of the pregnant woman was very common in both groups (migraine group: 55.2%, control group: 42.9%).
Parental smoking during pregnancy involves both parents (MSDP/MPSDP). This behavior increases risk of complications during pregnancy and put offspring at risk for certain birth defects before they are born. Environmental exposure to tobacco smoke (referred to MPSDP) is associated with mother’s health problems during pregnancy such as gestational diabetes (Morales-Suarez-Varela et al., 2022). Dutch population-based study (N = 1,858) showed that father’s support is a key element in reducing MSDP (Scheffers-van Schayck et al., 2019). Mother and fetus benefit from father’s involvement during perinatal and postpartum support (Martin et al., 2007; Firouzan et al., 2018). Involved father has influence on positive and negative maternal health behaviors and reducing mother’s stress level owing to emotional and financial support (Yolanda and Padilla, 2001). Moreover, father’s attitude toward participation in antenatal and perinatal care is linked with higher education level and bigger income (Maken et al., 2018). Low socioeconomic status of family and low education level are associated with prevalence of primary headaches, in particular migraine (Bigal et al., 2007; Chu et al., 2013; Stewart et al., 2013).
In addition to the modifiable parental factors (behavior and daily habits), the mother and fetus may be exposed to unpredictable traumatic event during pregnancy. In the migraine group, a traumatic event during pregnancy occurred in almost one in four pregnancies (22.8%), compared with only one in 10 in the control group (12%). Individuals whose mother experienced traumatic stress during pregnancy had over 2-fold increased risk of migraine (OR 2.27) in adulthood. The examples given in the questionnaire were classified as the most stressful life events according to the Social Readjustment Rating Scale. For instance, death of a spouse is rated as 100 units (from 0 to 100; divorce: 73 units, personal injury or illness: 53 units; Holmes and Rahe, 1967). Some biological mechanisms are reported to explain how maternal traumatic stress affects offspring development. Elevated levels of fetal glucocorticoids may impair intrauterine blood flow and affect the neurodevelopment, significantly affects the development of the brain (Fitzgerald et al., 2021). Future research on a possible neurobiological mechanism linking early stress and later migraine occurrence is needed.
Parental stress is associated with higher frequency and intensity of migraine in school-age children (Anttila et al., 2004; Smirni and Carotenuto, 2021). This fact remarks on the need to expand the migraine educational programs to family members (Esposito et al., 2013). Dealing with family issues in clinical practice may reduce the incidence of stress-related migraine in offspring (Hammond et al., 2019).
The influence of family history of migraine on its onset risk has been well described in family and twin studies. Heritability is estimated at 30–60% (Sutherland et al., 2019). In our study rate of positive family history was high (59%). Aside from family history of migraine, sex and age are the most common risk factors. Migraine prevalence in general population is three times higher in women than in men (Goadsby et al., 2002). The migraine occurrence in adulthood is fluctuating and is the most common in middle-aged people. In fact, it is the most burdensome among young adults and middle-aged women (GBD 2016 Headache Collaborators, 2018). In our study, median age for female migraineurs was 39 years and for male migraineurs was 36 years. It showed that migraine often affects people during productive period. From public health perspective, it is important to maintain education about negative influence of tobacco smoking, vaping and passive smoking on fetus. Pregnant women and their close relatives should remember that there is no risk-free level of tobacco exposure and alcohol exposure as well (Lucchini et al., 2021). It is indicated that smoking and alcohol consumption by father during pregnancy were related to worse offspring health (Easey and Sharp, 2021). Both parents are responsible for their child since early human development stages.
5. Conclusion
Taken together, our study broadens the findings on prenatal factors of migraine. Maternal smoking and traumatic event during pregnancy seem to be significant prenatal factors of migraine in offspring and in adulthood. Migraine in adulthood can be perceived as the delayed consequence of maternal smoking and trauma. In this study, association of parental behavior and maternal trauma during pregnancy with migraine risk were examined for the first time among adults. Nonetheless, longitudinal studies about the influence of prenatal factors and migraine frequency during all stages of ontogenesis are still needed, since they have not been conducted so far.
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Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by the Ethical Commission at the University of Lodz (no. 16/KBBN-UŁ/III/2018). The patients/participants provided their written informed consent to participate in this study.
Author contributions
MK, AS, BA, JJR, and EŻ: conceptualization and critical comments. MK, AS, and JP: acquisition. MK and AS: analysis. MK, AS, and EŻ: interpretation of data. MK: draft version and final version. All authors contributed to the article and approved the submitted version.
Acknowledgments
We are much obliged to Eleonora Bielawska-Batorowicz, Institute of Psychology, University of Lodz, for her criticalcomments.
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.
References
1
Abu-Arafeh I. Razak S. Sivaraman B. Graham C. (2010). Prevalence of headache and migraine in children and adolescents: a systematic review of population-based studies. Dev. Med. Child Neurol.52, 1088–1097. doi: 10.1111/j.1469-8749.2010.03793.x
2
Anttila P. Sourander A. Metsähonkala L. Aromaa M. Helenius H. Sillanpää M. (2004). Psychiatric symptoms in children with primary headache. J. Am. Acad. Child Adolesc. Psychiatry43, 412–419. doi: 10.1097/00004583-200404000-00007
3
Arruda M. A. Guidetti V. Galli F. Albuquerque R. C. Bigal M. E. (2011). Prenatal exposure to tobacco and alcohol are associated with chronic daily headaches at childhood: a population-based study. Arq. Neuropsiquiatr.69, 27–33. doi: 10.1590/s0004-282x2011000100007
4
Barker D. J. (1990). The fetal and infant origins of adult disease. BMJ301:1111. doi: 10.1136/bmj.301.6761.1111
5
Barnes N. P. (2015). Migraine headache in children. BMJ. Clin. Evid.2015:0318. PMID:
6
Bartholomeusz H. H. Courchesne E. Karns C. M. (2002). Relationship between head circumference and brain volume in healthy normal toddlers, children, and adults. Neuropediatrics33, 239–241. doi: 10.1055/s-2002-36735
7
Bigal M. E. Lipton R. B. (2011). Migraine chronification. Curr. Neurol. Neurosci. Rep.11, 139–148. doi: 10.1007/s11910-010-0175-6
8
Bigal M. E. Lipton R. B. Winner P. Reed M. L. Diamond S. Stewart W. F. et al . (2007). Migraine in adolescents: association with socioeconomic status and family history. Neurology69, 16–25. doi: 10.1212/01.wnl.0000265212.90735.64
9
Bland J. M. Altman D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet1, 307–310. PMID:
10
Borte S. Winsvold B. S. Stensland S. O. Smastuen M. C. Zwart J. A. (2017). The effect of foetal growth restriction on the development of migraine and tension-type headache in adulthood. The HUNT Study. PLoS One12:e0175908. doi: 10.1371/journal.pone.0175908
11
Bruni O. Fabrizi P. Ottaviano S. Cortesi F. Giannotti F. Guidetti V. (1997). Prevalence of sleep disorders in childhood and adolescence with headache: a case-control study. Cephalalgia17, 492–498. doi: 10.1046/j.1468-2982.1997.1704492.x
12
Chatterton Z. Hartley B. J. Seok M. H. Mendelev N. Chen S. Milekic M. et al . (2017). In utero exposure to maternal smoking is associated with DNA methylation alterations and reduced neuronal content in the developing fetal brain. Epigenetics Chromatin10:4. doi: 10.1186/s13072-017-0111-y
13
Chu M. K. Kim D. W. Kim B. K. Kim J. M. Jang T. W. Park J. W. et al . (2013). Gender-specific influence of socioeconomic status on the prevalence of migraine and tension-type headache: the results from the Korean headache survey. J. Headache Pain14:82. doi: 10.1186/1129-2377-14-82
14
Committee Opinion No 721 (2017). Smoking cessation during pregnancy. Obstet. Gynecol.130:1. doi: 10.1097/AOG.0000000000002353
15
Dilling-Ostrowska E. (2005). Zespoły Bólowe w Neurologii Dziecięcej: Wydawnictwo. PZWL Medical.
16
Dodick D. W. (2006). Clinical practice. Chronic daily headache. N. Engl. J. Med.354, 158–165. doi: 10.1056/NEJMcp042897
17
Easey K. E. Sharp G. C. (2021). The impact of paternal alcohol, tobacco, caffeine use and physical activity on offspring mental health: a systematic review and meta-analysis. Reprod. Health18:214. doi: 10.1186/s12978-021-01266-w
18
El Marroun H. Schmidt M. N. Franken I. H. Jaddoe V. W. Hofman A. van der Lugt A. et al . (2014). Prenatal tobacco exposure and brain morphology: a prospective study in young children. Neuropsychopharmacology39, 792–800. doi: 10.1038/npp.2013.273
19
Esposito M. Gallai B. Parisi L. Roccella M. Marotta R. Lavano S. M. et al . (2013). Maternal stress and childhood migraine: a new perspective on management. Neuropsychiatr. Dis. Treat.9, 351–355. doi: 10.2147/NDT.S42818
20
Fabbri C. E. Barbieri M. A. Silva A. M. Gutierrez M. R. Bettiol H. Speciali J. G. et al . (2012). Maternal smoking during pregnancy and primary headache in school-aged children: a cohort study. Cephalalgia32, 317–327. doi: 10.1177/0333102411436261
21
Fenercioglu A. K. Tamer I. Karatekin G. Nuhoglu A. (2009). Impaired postnatal growth of infants prenatally exposed to cigarette smoking. Tohoku J. Exp. Med.218, 221–228. doi: 10.1620/tjem.218.221
22
Firouzan V. Noroozi M. Mirghafourvand M. Farajzadegan Z. (2018). Participation of father in perinatal care: a qualitative study from the perspective of mothers, fathers, caregivers, managers and policymakers in Iran. BMC Pregnancy Childbirth18:297. doi: 10.1186/s12884-018-1928-5
23
Fitzgerald E. Parent C. Kee M. Z. L. Meaney M. J. (2021). Maternal distress and offspring neurodevelopment: challenges and opportunities for pre-clinical research models. Front. Hum. Neurosci.15:635304. doi: 10.3389/fnhum.2021.635304
24
Gazerani P. (2021). Migraine and mood in children. Behav. Sci.11:51. doi: 10.3390/bs11040052
25
GBD 2016 Headache Collaborators (2018). Global, regional, and national burden of migraine and tension-type headache, 1990-2016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol.17, 954–976. doi: 10.1016/S1474-4422(18)30322-3
26
Gluckman P. D. Hanson M. A. Buklijas T. (2010). A conceptual framework for the developmental origins of health and disease. J. Dev. Orig. Health Dis.1, 6–18. doi: 10.1017/S2040174409990171
27
Goadsby P. J. Lipton R. B. Ferrari M. D. (2002). Migraine--current understanding and treatment. N. Engl. J. Med.346, 257–270. doi: 10.1056/NEJMra010917
28
Hammond N. G. Orr S. L. Colman I. (2019). Early life stress in adolescent migraine and the mediational influence of symptoms of depression and anxiety in a Canadian cohort. Headache59, 1687–1699. doi: 10.1111/head.13644
29
Hjort L. Rushiti F. Wang S. J. Fransquet P. Krasniqi S. Çarkaxhiu S. I. et al . (2021). Intergenerational effects of maternal post-traumatic stress disorder on offspring epigenetic patterns and cortisol levels. Epigenomics13, 967–980. doi: 10.2217/epi-2021-0015
30
Holmes T. H. Rahe R. H. (1967). The social readjustment rating scale. J. Psychosom. Res.11, 213–218. doi: 10.1016/0022-3999(67)90010-4
31
IHS (2018). “Headache classification Committee of the International Headache Society (IHS)” in The International Classification of Headache Disorders, vol. 38. 3rd ed (Cephalalgia), 1–211. doi: 10.1177/0333102417738202
32
Kallen K. (2000). Maternal smoking during pregnancy and infant head circumference at birth. Early Hum. Dev.58, 197–204. doi: 10.1016/s0378-3782(00)00077-3
33
Kobus M. Sitek A. Antoszewski B. Rożniecki J. Pełka J. Żądzińska E. (2021). Prenatal oestrogen-testosterone balance as a risk factor of migraine in adults. J. Headache Pain22:119. doi: 10.1186/s10194-021-01326-3
34
Kobus M. Żądzińska E. Michaelides M. Parpa K. (2022a). Primary headaches and physical performance: a professional youth female soccer team study. Brain Sci.12:1702. doi: 10.3390/brainsci12121702
35
Kobus M. Żądzińska E. Sitek A. Pełka J. Rożniecki J. J. Antoszewski B. (2022b). Risk of migraine in Europeans with low melanin levels—a population based case-control study. Brain Sci.12:620. doi: 10.3390/brainsci12050620
36
Kondracki A. J. Hofferth S. L. (2019). A gestational vulnerability window for smoking exposure and the increased risk of preterm birth: how timing and intensity of maternal smoking matter. Reprod. Health16:43. doi: 10.1186/s12978-019-0705-x
37
Koziel S. Zadzinska E. Gomula A. (2018). Parental smoking during pregnancy and head shape and size in school children. Ann. Hum. Biol.45, 401–405. doi: 10.1080/03014460.2018.1511829
38
Kwon E. J. Kim Y. J. (2017). What is fetal programming?: a lifetime health is under the control of in utero health. Obstet. Gynecol. Sci.60, 506–519. doi: 10.5468/ogs.2017.60.6.506
39
Lezak M. D. H. D. B. Bigler E. D. Tranel D. (2012). Neuropsychological Assessment. 5th Edn Oxford University Press. 1–1161.
40
Lucchini M. Shuffrey L. C. Nugent J. D. Pini N. Sania A. Shair M. et al . (2021). Effects of prenatal exposure to alcohol and smoking on fetal heart rate and movement regulation. Front. Physiol.12:594605. doi: 10.3389/fphys.2021.594605
41
Maken Z. H. Nasir Idrees I. Zahid A. Zulfiqar A. Munib A. Hassan F. et al . (2018). Factors influencing father's antenatal and perinatal involvement in maternal health care. J. Matern. Fetal Neonatal Med.31, 2569–2575. doi: 10.1080/14767058.2017.1347920
42
Mangrio E. Hansen K. Lindstrom M. Kohler M. Rosvall M. (2011). Maternal educational level, parental preventive behavior, risk behavior, social support and medical care consumption in 8-month-old children in Malmo, Sweden. BMC Public Health11:891. doi: 10.1186/1471-2458-11-891
43
Maratos J. Wilkinson M. (1982). Migraine in children: a medical and psychiatric study. Cephalalgia2, 179–187. doi: 10.1046/j.1468-2982.1982.0204179.x
44
Martin L. T. McNamara M. J. Milot A. S. Halle T. Hair E. C. (2007). The effects of father involvement during pregnancy on receipt of prenatal care and maternal smoking. Matern. Child Health J.11, 595–602. doi: 10.1007/s10995-007-0209-0
45
Mishra G. D. Dobson A. J. Schofield M. J. (2000). Cigarette smoking, menstrual symptoms and miscarriage among young women. Aust. N. Z. J. Public Health24, 413–420. doi: 10.1111/j.1467-842x.2000.tb01604.x
46
Morales-Suarez-Varela M. Peraita-Costa I. Perales-Marin A. Llopis-Morales A. Llopis-Gonzalez A. (2022). Risk of gestational diabetes due to maternal and partner smoking. Int. J. Environ. Res. Public Health19:925. doi: 10.3390/ijerph19020925
47
Mulder E. J. Van Baal C. Gaist D. Kallela M. Kaprio J. Svensson D. A. et al . (2003). Genetic and environmental influences on migraine: a twin study across six countries. Twin Res.6, 422–431. doi: 10.1375/136905203770326420
48
Murman D. L. (2015). The impact of age on cognition. Semin. Hear.36, 111–121. doi: 10.1055/s-0035-1555115
49
Nichols A. Clarke P. Notley C. (2019). Parental smoking and support in the NICU. Arch. Dis. Child. Fetal Neonatal Ed.104:F342. doi: 10.1136/archdischild-2018-316413
50
Olejniczak D. Klimiuk K. Religioni U. Staniszewska A. Panczyk M. Nowacka A. et al . (2021). Willingness to oppose smoking among pregnant women. Int. J. Environ. Res. Public Health18:11636. doi: 10.3390/ijerph182111636
51
Pietersma C. S. Mulders A. Sabanovic A. Willemsen S. P. Jansen M. S. Steegers E. A. P. et al . (2022). The impact of maternal smoking on embryonic morphological development: the Rotterdam Periconception cohort. Hum. Reprod.37, 696–707. doi: 10.1093/humrep/deac018
52
Popova S. Lange S. Poznyak V. Chudley A. E. Shield K. D. Reynolds J. N. et al . (2019). Population-based prevalence of fetal alcohol spectrum disorder in Canada. BMC Public Health19:845. doi: 10.1186/s12889-019-7213-3
53
Richmond R. C. Simpkin A. J. Woodward G. Gaunt T. R. Lyttleton O. McArdle W. L. et al . (2015). Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon longitudinal study of parents and children (ALSPAC). Hum. Mol. Genet.24, 2201–2217. doi: 10.1093/hmg/ddu739
54
Rinaudo P. Wang E. (2012). Fetal programming and metabolic syndrome. Annu. Rev. Physiol.74, 107–130. doi: 10.1146/annurev-physiol-020911-153245
55
Roza S. J. Verburg B. O. Jaddoe V. W. Hofman A. Mackenbach J. P. Steegers E. A. et al . (2007). Effects of maternal smoking in pregnancy on prenatal brain development. The generation R study. Eur. J. Neurosci.25, 611–617. doi: 10.1111/j.1460-9568.2007.05393.x
56
Sacco R. Gabriele S. Persico A. M. (2015). Head circumference and brain size in autism spectrum disorder: a systematic review and meta-analysis. Psychiatry Res.234, 239–251. doi: 10.1016/j.pscychresns.2015.08.016
57
Scheffers-van Schayck T. Tuithof M. Otten R. Engels R. Kleinjan M. (2019). Smoking behavior of women before, during, and after pregnancy: indicators of smoking, quitting, and relapse. Eur. Addict. Res.25, 132–144. doi: 10.1159/000498988
58
Scherman A. Tolosa J. E. McEvoy C. (2018). Smoking cessation in pregnancy: a continuing challenge in the United States. Ther. Adv. Drug Saf.9, 457–474. doi: 10.1177/2042098618775366
59
Shiohama T. Hisada A. Yamamoto M. Sakurai K. Takatani R. Fujii K. et al . (2021). Decreased head circumference at birth associated with maternal tobacco smoke exposure during pregnancy on the Japanese prospective birth cohort study. Sci. Rep.11:18949. doi: 10.1038/s41598-021-98311-2
60
Smirni D. Carotenuto M. (2021). Pediatric chronic migraine severity and maternal stress. Pediatr. Rep.13, 576–582. doi: 10.3390/pediatric13040068
61
Stewart W. F. Roy J. Lipton R. B. (2013). Migraine prevalence, socioeconomic status, and social causation. Neurology81, 948–955. doi: 10.1212/WNL.0b013e3182a43b32
62
Stovner L. J. Hagen K. Linde M. Steiner T. J. (2022). The global prevalence of headache: an update, with analysis of the influences of methodological factors on prevalence estimates. J. Headache Pain23:34. doi: 10.1186/s10194-022-01402-2
63
Strine T. W. Okoro C. A. McGuire L. C. Balluz L. S. (2006). The associations among childhood headaches, emotional and behavioral difficulties, and health care use. Pediatrics117, 1728–1735. doi: 10.1542/peds.2005-1024
64
Sutherland H. G. Albury C. L. Griffiths L. R. (2019). Advances in genetics of migraine. J. Headache Pain20:72. doi: 10.1186/s10194-019-1017-9
65
Sutherland S. Brunwasser S. M. (2018). Sex differences in vulnerability to prenatal stress: a review of the recent literature. Curr. Psychiatry Rep.20:102. doi: 10.1007/s11920-018-0961-4
66
Sutherland H. G. Griffiths L. R. (2017). Genetics of migraine: insights into the molecular basis of migraine disorders. Headache57, 537–569. doi: 10.1111/head.13053
67
Ulrich V. Gervil M. Fenger K. Olesen J. Russell M. B. (1999). The prevalence and characteristics of migraine in twins from the general population. Headache39, 173–180. doi: 10.1046/j.1526-4610.1999.3903173.x
68
Wang S. J. Juang K. D. Fuh J. L. Lu S. R. (2007). Psychiatric comorbidity and suicide risk in adolescents with chronic daily headache. Neurology68, 1468–1473. doi: 10.1212/01.wnl.0000260607.90634.d6
69
Wang N. Tikellis G. Sun C. Pezic A. Wang L. Wells J. C. et al . (2014). The effect of maternal prenatal smoking and alcohol consumption on the placenta-to-birth weight ratio. Placenta35, 437–441. doi: 10.1016/j.placenta.2014.04.006
70
Warner M. J. Ozanne S. E. (2010). Mechanisms involved in the developmental programming of adulthood disease. Biochem. J.427, 333–347. doi: 10.1042/BJ20091861
71
WHO (2011). Atlas of headache disorders and resources in the world 2011. Available at: https://apps.who.int/iris/handle/10665/44571
72
Wober-Bingol C. (2013). Epidemiology of migraine and headache in children and adolescents. Curr. Pain Headache Rep.17:341. doi: 10.1007/s11916-013-0341-z
73
Yolanda C. Padilla N. E. R. (2001). Low birthweight: do unwed fathers help?Child Youth Serv. Rev.23, 427–452. doi: 10.1016/S0190-7409(01)00136-0
74
Zadzinska E. Koziel S. Kurek M. Spinek A. (2013). Mother's trauma during pregnancy affects fluctuating asymmetry in offspring's face. Anthropol. Anz.70, 427–437. doi: 10.1127/0003-5548/2013/0383
75
Zadzinska E. Rosset I. (2013). Pre-natal and perinatal factors affecting body mass index in pre-pubertal polish children. Ann. Hum. Biol.40, 477–484. doi: 10.3109/03014460.2013.806589
76
Zadzinska E. Sitek A. Rosset I. (2016). Relationship between pre-natal factors, the perinatal environment, motor development in the first year of life and the timing of first deciduous tooth emergence. Ann. Hum. Biol.43, 25–33. doi: 10.3109/03014460.2015.1006140
Summary
Keywords
migraine, headache, pregnancy, tobacco smoking, trauma, stress, prenatal period
Citation
Kobus M, Sitek A, Antoszewski B, Rożniecki JJ, Pełka J and Żądzińska E (2023) The impact of exposure to tobacco smoking and maternal trauma in fetal life on risk of migraine. Front. Neurosci. 17:1191091. doi: 10.3389/fnins.2023.1191091
Received
21 March 2023
Accepted
29 May 2023
Published
29 June 2023
Volume
17 - 2023
Edited by
Kazuhiko Sawada, Tsukuba International University, Japan
Reviewed by
Nuanchan Chutabhakdikul, Mahidol University, Thailand; Omkaram Gangisetty, Rutgers, The State University of New Jersey, United States
Updates
Copyright
© 2023 Kobus, Sitek, Antoszewski, Rożniecki, Pełka and Żądzińska.
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*Correspondence: Magdalena Kobus, kobus.magdalena@gmail.com
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