EDITORIAL article

Front. Public Health, 13 June 2025

Sec. Public Health and Nutrition

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1591010

This article is part of the Research TopicObesity Across the Life CourseView all 5 articles

Editorial: Obesity across the life course

  • 1Sheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, United Kingdom
  • 2School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia

Editorial on the Research Topic
Obesity across the life course

Obesity is a major health concern in many countries around the world. Coupled with an aging population, there are increasing numbers of patients who live with obesity alongside various co-morbidities. Obesity at different stages of the life course can have different influences, causes and consequences. Age is one of the biggest factors that influences obesity and persists from childhood into adolescence and adulthood (1, 2). This means it is important to investigate how obesity changes throughout the lifecourse.

In the first article of this Research Topic, Ulloque-Badaracco et al. carried out a systematic review investigating the association between obesity and vitamin B12, folate, and homocysteine levels in children and adolescents. The authors found no evidence of an association between obesity and vitamin B12 or folate, but found a statistically significant difference in homocysteine levels in children and adolescents who had obesity, compared to those who did not. A similar association has been found in a previous systematic review in adults (3) but this study shows that this association is apparent earlier in the life course. The authors suggest a number of potential reasons for the relationship between homocysteine levels and the presence of obesity; these are reduced absorption of nutrients due to poor diet (4), changes to gut microbiota, and how homocysteine is metabolized again due to poor diet (5), homocysteine insulin resistance due to impaired insulin sensitivity (6) affecting homocysteine metabolism regulation (7) or finally, inflammation and gut microbiota alterations influencing the breakdown of homocysteine (8, 9).

The second article by Hu et al., explored associations between BMI and waist circumference and premature mortality in young and middle-aged adults. This observational study used data from a large number of US individuals between 18 and 50 years old with robustness checks using a large cohort of Chinese individuals. They found a linear relationship between waist circumference and all-cause mortality, a relationship that was similar in men and women. A non-linear relationship between BMI and all-cause mortality was found, in accordance with the literature finding that both a high and low BMI is associated with premature mortality. Support for the obesity paradox (10), in middle-aged individuals, is provided by the finding that the risk of premature death decreased with increasing BMI in females aged 36-50 with a BMI below 28.6 kg/m2. This study highlights the differences in these relationships during young adulthood and middle age, illustrating the importance of taking a life course approach when studying obesity.

In the third article of this Research Topic, Fong et al. investigated lower-intensity weight management interventions for postnatal women delivered by non-specialists, exploring their effectiveness and implementation using a mixed-methods systematic review. They found that interventions had varied results with only three out of seven leading to a consistent reduction in weight in the intervention group and most interventions showing no or mixed effects. The authors conclude that there is a need for more research into this type of intervention, particularly investigating longer postnatal follow up periods. Research on lower-intensity interventions was lacking compared to that showing the effectiveness of higher-intensity postnatal weight loss interventions (1113). This article also highlights the need for research into the women's perspective in such interventions. These perspectives are likely to change throughout the lifecourse and are particularly important to investigate in vulnerable life stages such as postpartum. The postpartum period represents a sensitive window of opportunity for the mother and infant and an example where it is necessary to take a life course approach in the study of obesity. In particular, this article suggests that interventions should be initiated within the first 6 months postpartum, suggesting that the timing of interventions during particular life stages is important.

The final article in this Research Topic, by Rogers et al., investigated the impact of a low-touch, self-guided and digital behavioral-based weight loss intervention on older adults. The study found that this intervention produced significant weight loss over the study period (20 weeks) and that this effect was greater in males than in females. Similar to other studies (14, 15), they found that increased engagement with the intervention was associated with great weight loss. The authors point out that this study uses weight, rather than body composition, and that body composition may be more clinically important for older adults due to the contributions of lean and fat mass to an individual's body weight (16).

The four articles in this Research Topic underline the need to study obesity across the lifecourse and that interventions should be specifically targeted at specific life stages due to differing causes and health consequences of obesity. The causes, consequences and confounders of obesity can vary at different life stages. Specifically, Ulloque-Badaracco et al. found evidence for a difference in homocysteine levels in children or adolescents with or without obesity, Hu et al. found the relationship between BMI and mortality differed between young and middle aged adults, Fong et al. stressed the need for timely interventions specific to certain life stages and Rogers et al. emphasized the importance of using an appropriate measure of body composition for the life stage of the subjects being studied. Against the wider research background, which has recently led to the development of different definitions and identification of obesity and overweight (1719), this Research Topic of articles highlights the need to consider how we measure and define obesity so as to appropriately capture health risks across the lifecourse. BMI was not initially intended for use at an individual level, only for population surveillance (20), and the articles in this Research Topic highlight that we could assess obesity-related risk differently. Specifically, there was no association between BMI and B12 or folate (Ulloque-Badaracco et al.), premature mortality (Hu et al.) or participation in weight loss intervention for postnatal (Fong et al.) or older women (Rogers et al.). This might suggest that we could assess obesity-related health differently and that how we should measure obesity may vary at different life stages. BMI has often been used as a “risk-factor” for other health conditions, but we know that in certain populations it is not a good measure of obesity, particularly in older adults (18, 21) and people with athletic builds (18, 22). To more accurately explore the associations between adiposity and health, we need to consider using more appropriate and strict criteria for defining obesity, such as those recently proposed by an international collaboration of experts in diabetes and endocrinology (18). Further research is needed to explore how using such criteria in epidemiological research impacts the strength of associations between obesity and health problems, and how this might change at different stages of the life course.

Author contributions

LG: Writing – original draft, Writing – review & editing. AK: Writing – review & editing. PB: Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. AK was supported by a National Health and Medical Research Council Investigator Fellowship (APP2034414). LG was supported by the Medical Research Council Fellowship (grant number MR/S009868/1) and a European Association for the Study of Obesity Award funded by the Novo Nordisk Foundation (NNF24SA0090440).

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.

Publisher's note

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.

References

1. Hayes AJ, Carrello JP, Kelly PJ, Killedar A, Baur LA. Looking backwards and forwards: tracking and persistence of weight status between early childhood and adolescence. Int J Obes. (2021) 45:870–8. doi: 10.1038/s41366-021-00751-3

PubMed Abstract | Crossref Full Text | Google Scholar

2. Singh AS, Mulder C, Twisk JWR, Van Mechelen W, Chinapaw MJM. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. (2008) 9:474–88. doi: 10.1111/j.1467-789X.2008.00475.x

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wang J, You D, Wang H, Yang Y, Zhang D, Lv J, et al. Association between homocysteine and obesity: a meta-analysis. J Evid Based Med. (2021) 14:208–17. doi: 10.1111/jebm.12412

PubMed Abstract | Crossref Full Text | Google Scholar

4. Roblin L. Childhood obesity: food, nutrient, and eating-habit trends and influences. Appl Physiol Nutr Metab. (2007) 32:635–45. doi: 10.1139/H07-046

PubMed Abstract | Crossref Full Text | Google Scholar

5. Festi D, Schiumerini R, Eusebi LH, Marasco G, Taddia M, Colecchia A. Gut microbiota and metabolic syndrome. World J Gastroenterol. (2014) 20:16079–94. doi: 10.3748/wjg.v20.i43.16079

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ala OA, Akintunde AA, Ikem RT, Kolawole BA, Ala OO, Adedeji TA. Association between insulin resistance and total plasma homocysteine levels in type 2 diabetes mellitus patients in south west Nigeria. Diabetes Metab Syndr Clin Res Rev. (2017) 11:S803–9. doi: 10.1016/j.dsx.2017.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

7. Arnoni CP, Lima C, Cristovam PC, Maquigussa E, Vidotti DB, Boim MA. Regulation of glucose uptake in mesangial cells stimulated by high glucose: role of angiotensin II and insulin. Exp Biol Med. (2009) 234:1095–101. doi: 10.3181/0902-RM-50

PubMed Abstract | Crossref Full Text | Google Scholar

8. Weber GJ, Pushpakumar S, Tyagi SC, Sen U. Homocysteine and hydrogen sulfide in epigenetic, metabolic and microbiota related renovascular hypertension. Pharmacol Res. (2016) 113:300–12. doi: 10.1016/j.phrs.2016.09.002

PubMed Abstract | Crossref Full Text | Google Scholar

9. Ulloque-Badaracco JR, Hernandez-Bustamante EA, Alarcon-Braga EA, Al-kassab-Córdova A, Cabrera-Guzmán JC, Herrera-Añazco P, et al. Vitamin B12, folate, and homocysteine in metabolic syndrome: a systematic review and meta-analysis. Front Endocrinol. (2023) 14:1221259. doi: 10.3389/fendo.2023.1221259

PubMed Abstract | Crossref Full Text | Google Scholar

10. Bosello O, Donataccio MP, Cuzzolaro M. Obesity or obesities? Controversies on the association between body mass index and premature mortality. Eat Weight Disord. (2016) 21:165–74. doi: 10.1007/s40519-016-0278-4

PubMed Abstract | Crossref Full Text | Google Scholar

11. Dalrymple KV, Flynn AC, Relph SA, O'keeffe M, Poston L. Lifestyle interventions in overweight and obese pregnant or postpartum women for postpartum weight management: a systematic review of the literature. Nutr. (2018) 10:1704. doi: 10.3390/nu10111704

PubMed Abstract | Crossref Full Text | Google Scholar

12. Dodd JM, Deussen AR, O'Brien CM, Schoenaker DA, Poprzeczny A, Gordon A, et al. Targeting the postpartum period to promote weight loss: a systematic review and meta-analysis. Nutr Rev. (2018) 76:639–54. doi: 10.1093/nutrit/nuy024

PubMed Abstract | Crossref Full Text | Google Scholar

13. Lim S, Liang X, Hill B, Teede H, Moran LJ, O'Reilly S, et al. A systematic review and meta-analysis of intervention characteristics in postpartum weight management using the TIDieR framework: a summary of evidence to inform implementation. Obes Rev. (2019) 20:1045–56. doi: 10.1111/obr.12846

PubMed Abstract | Crossref Full Text | Google Scholar

14. Jakicic JM, King WC, Marcus MD, Davis KK, Helsel D, Rickman AD, et al. Short-term weight loss with diet and physical activity in young adults: The IDEA study. Obesity. (2015) 23:2385–97. doi: 10.1002/oby.21241

PubMed Abstract | Crossref Full Text | Google Scholar

15. Wadden TA, West DS, Neiberg RH, Wing RR, Ryan DH, Johnson KC, et al. One-year weight losses in the look AHEAD study: factors associated with success. Obesity. (2009) 17:713–22. doi: 10.1038/oby.2008.637

PubMed Abstract | Crossref Full Text | Google Scholar

16. Ashwell M, Gibson S. Waist-to-height ratio as an indicator of “early health risk”: simpler and more predictive than using a “matrix” based on BMI and waist circumference setting, participants and outcome measures: recent data from 4 years. BMJ Open. (2016) 6:10159. doi: 10.1136/bmjopen-2015-010159

PubMed Abstract | Crossref Full Text | Google Scholar

17. National Institute for Health and Care Excellence. Overweight and Obesity Management: NICE Guideline NG246 (2025). Available online at: https://www.nice.org.uk/guidance/ng246 (accessed February 12, 2025).

Google Scholar

18. Rubino F, Cummings DE, Eckel RH, Cohen RV, Wilding JPH, Brown WA, et al. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol. (2025) 13:221–62. doi: 10.1016/S2213-8587(24)00316-4

PubMed Abstract | Crossref Full Text | Google Scholar

19. Busetto L, Dicker D, Frühbeck G, Halford JCG, Sbraccia P, Yumuk V, et al. A new framework for the diagnosis, staging and management of obesity in adults. Nat Med. (2024) 30:2395–9. doi: 10.1038/s41591-024-03095-3

PubMed Abstract | Crossref Full Text | Google Scholar

20. Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL. Indices of relative weight and obesity. J Chronic Dis. (1972) 25:329–43. doi: 10.1016/0021-9681(72)90027-6

PubMed Abstract | Crossref Full Text | Google Scholar

21. Dixon JB, Egger GJ, Finkelstein EA, Kral JG, Lambert GW. “Obesity paradox” misunderstands the biology of optimal weight throughout the life cycle. Int J Obes. (2015) 39:82–4. doi: 10.1038/ijo.2014.59

PubMed Abstract | Crossref Full Text | Google Scholar

22. Greene W, Harris MN, Hollingsworth B, Maitra P. A latent class model for obesity. Econ Lett. (2014) 123:15. doi: 10.1016/j.econlet.2014.01.004

Crossref Full Text | Google Scholar

Keywords: obesity, life course, epidemiology, aging, obesity measurement

Citation: Gray LA, Killedar A and Breeze PR (2025) Editorial: Obesity across the life course. Front. Public Health 13:1591010. doi: 10.3389/fpubh.2025.1591010

Received: 10 March 2025; Accepted: 30 April 2025;
Published: 13 June 2025.

Edited and reviewed by: Jennifer K. Frediani, Emory University, United States

Copyright © 2025 Gray, Killedar and Breeze. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Laura A. Gray, bGF1cmEuZ3JheUBzaGVmZmllbGQuYWMudWs=

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.