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Epidemiology and Population Health

Is the positive relationship of infant weight gain with adolescent adiposity attenuated by moderate-to-vigorous physical activity in childhood? Evidence from the Millennium Cohort Study

Abstract

Objective

Rapid infant weight gain is a key risk factor for paediatric obesity, yet there is very little evidence on how healthy behaviours in childhood might modify this association. We aimed to examine how the association of infant weight gain with adolescent adiposity might be attenuated by moderate-to-vigorous physical activity (MVPA) in childhood.

Methods

The sample comprised 4666 children in the UK Millennium Cohort Study. The two outcomes were BMI Z-score and % fat at 14 years. Sex-stratified regression models were developed testing for interactions between infant weight Z-score gain between 0 and 3 years (continuous or categorical) and MVPA at 7 years (continuous or binary). Models were sequentially adjusted for basic covariates, socioeconomic variables, and parental BMI levels.

Results

Effect modification was observed in boys but not girls and, among boys, was stronger for % fat than BMI. In a fully adjusted model for boys, the association between infant weight Z-score gain and adolescent % fat was 1.883 (1.444, 2.322) if MVPA < 60 min/day and 1.305 (0.920, 1.689) if MVPA ≥ 60 min/day; the difference between these two estimates being −0.578 (−1.070, −0.087). Similarly, % fat was 2.981 (1.596, 4.367) units higher among boys who demonstrated rapid infant weight gain (+0.67 to +1.34 Z-score) compared to normal weight gain (−0.67 to +0.67 Z-scores), but having MVPA ≥ 60 min/day reduced this effect size by −2.259 (−3.989, −0.535) units.

Conclusions

In boys, ~75% of the excess % fat at 14 years associated with rapid infant weight gain was attenuated by meeting the MVPA guideline. In boys known to have demonstrated rapid infant weight gain, increasing childhood MVPA levels, with the target of ≥60 min/day, might therefore go a long way to towards offsetting their increased risk for adolescent obesity. The lack of effect modification in girls is likely due to lower MVPA levels.

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Fig. 1: The association of infant weight gain categories (0–3 years) with % fat (14 years) in boys, according to whether or not MVPA guidelines (7 years) were met.

Code availability

Available from the first author upon request.

References

  1. NCD Risk Factor Collaboration. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390:2627–42.

    Article  Google Scholar 

  2. Johnson W, Li L, Kuh D, Hardy R. How has the age-related process of overweight or obesity development changed over time? Co-ordinated analyses of individual participant data from five United Kingdom birth cohorts. PLoS Med. 2015;12:e1001828.

    PubMed  PubMed Central  Article  Google Scholar 

  3. The Health and Social Care Information Centre. The National Child Measurement Programme: England, 2018/19 school year. London, UK: The Health and Social Care Information Centre; 2020.

    Google Scholar 

  4. Ong KK, Ahmed ML, Emmett PM, Preece MA, Dunger DB. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ. 2000;320:967–71.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  5. Zheng M, Lamb KE, Grimes C, Laws R, Bolton K, Ong KK, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence. Obes Rev. 2018;19:321–32.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  6. Weng SF, Redsell SA, Swift JA, Yang M, Glazebrook CP. Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy. Arch Dis Child. 2012;97:1019–26.

    PubMed  PubMed Central  Article  Google Scholar 

  7. Heslehurst N, Vieira R, Akhter Z, Bailey H, Slack E, Ngongalah L, et al. The association between maternal body mass index and child obesity: a systematic review and meta-analysis. PLoS Med. 2019;16:e1002817.

    PubMed  PubMed Central  Article  Google Scholar 

  8. Yu ZB, Han SP, Zhu GZ, Zhu C, Wang XJ, Cao XG, et al. Birth weight and subsequent risk of obesity: a systematic review and meta-analysis. Obes Rev. 2011;12:525–42.

    CAS  Article  Google Scholar 

  9. Rotevatn TA, Melendez-Torres GJ, Overgaard C, Peven K, Hyldgaard Nilsen J, Boggild H, et al. Understanding rapid infant weight gain prevention: a systematic review of quantitative and qualitative evidence. Eur J Public Health. 2019.

  10. Ejlerskov KT, Christensen LB, Ritz C, Jensen SM, Molgaard C, Michaelsen KF. The impact of early growth patterns and infant feeding on body composition at 3 years of age. Br J Nutr. 2015;114:316–27.

    CAS  PubMed  Article  Google Scholar 

  11. Karaolis-Danckert N, Buyken AE, Kulig M, Kroke A, Forster J, Kamin W, et al. How pre- and postnatal risk factors modify the effect of rapid weight gain in infancy and early childhood on subsequent fat mass development: results from the Multicenter Allergy Study 90. Am J Clin Nutr. 2008;87:1356–64.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  12. Karaolis-Danckert N, Gunther AL, Kroke A, Hornberg C, Buyken AE. How early dietary factors modify the effect of rapid weight gain in infancy on subsequent body-composition development in term children whose birth weight was appropriate for gestational age. Am J Clin Nutr. 2007;86:1700–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  13. Matthews EK, Wei J, Cunningham SA. Relationship between prenatal growth, postnatal growth and childhood obesity: a review. Eur J Clin Nutr. 2017;71:919–30.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  14. Collings PJ, Brage S, Ridgway CL, Harvey NC, Godfrey KM, Inskip HM, et al. Physical activity intensity, sedentary time, and body composition in preschoolers. Am J Clin Nutr. 2013;97:1020–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. Sardinha LB, Marques A, Minderico C, Ekelund U. Cross-sectional and prospective impact of reallocating sedentary time to physical activity on children’s body composition. Pediatr Obes. 2017;12:373–9.

    PubMed  Article  PubMed Central  Google Scholar 

  16. Kolle E, Horta BL, Wells J, Brage S, Barros FC, Ekelund U, et al. Does objectively measured physical activity modify the association between early weight gain and fat mass in young adulthood? BMC Public Health. 2017;17:905.

    PubMed  PubMed Central  Article  Google Scholar 

  17. Bernhardsen GP, Stensrud T, Nystad W, Dalene KE, Kolle E, Ekelund U. Early life risk factors for childhood obesity—does physical activity modify the associations? The MoBa cohort study. Scand J Med Sci Sports. 2019;29:1636–46.

    PubMed  PubMed Central  Article  Google Scholar 

  18. Cooper AR, Goodman A, Page AS, Sherar LB, Esliger DW, van Sluijs EM, et al. Objectively measured physical activity and sedentary time in youth: the International Children’s Accelerometry Database (ICAD). Int J Behav Nutr Phys Act. 2015;12:113.

    PubMed  PubMed Central  Article  Google Scholar 

  19. Farooq A, Martin A, Janssen X, Wilson MG, Gibson AM, Hughes A, et al. Longitudinal changes in moderate-to-vigorous-intensity physical activity in children and adolescents: a systematic review and meta-analysis. Obes Rev. 2020;21:e12953.

    PubMed  Article  PubMed Central  Google Scholar 

  20. Steene-Johannessen J, Hansen BH, Dalene KE, Kolle E, Northstone K, Moller NC, et al. Variations in accelerometry measured physical activity and sedentary time across Europe—harmonized analyses of 47,497 children and adolescents. Int J Behav Nutr Phys Act. 2020;17:38.

    PubMed  PubMed Central  Article  Google Scholar 

  21. Johnson W, Bann D, Hardy R. Infant weight gain and adolescent body mass index: comparison across two British cohorts born in 1946 and 2001. Arch Dis Child. 2018;103:974–80.

    PubMed  Article  Google Scholar 

  22. Prentice AM, Jebb SA. Beyond body mass index. Obes Rev. 2001;2:141–7.

    CAS  PubMed  Article  Google Scholar 

  23. Hansen K. Millennium Cohort Study: first, second, third, fourth, and fifth surveys: a guide to the datasets. 8th edition. London, UK: Centre for Longitudinal Studies at the UCL Institute of Education; 2014.

    Google Scholar 

  24. Tate AR, Dezateux C, Cole TJ, Davidson L. Millennium Cohort Study Child Health G. Factors affecting a mother’s recall of her baby’s birth weight. Int J Epidemiol. 2005;34:688–95.

    PubMed  Article  Google Scholar 

  25. World Health Organization. WHO Child Growth Standards. Geneva, Switzerland: World Health Organization; 2006.

    Google Scholar 

  26. Cole TJ. The development of growth references and growth charts. Ann Hum Biol. 2012;39:382–94.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. Fitzsimons E. Millennium Cohort Study. Sixth survey 2015-2016. User guide. London, UK: Centre for Longitudinal Studies, UCL Institute of Education; 2017.

    Google Scholar 

  28. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.

    PubMed  PubMed Central  Article  Google Scholar 

  29. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7:284–94.

    CAS  PubMed  Article  Google Scholar 

  30. Griffiths LJ, Cortina-Borja M, Sera F, Pouliou T, Geraci M, Rich C, et al. How active are our children? Findings from the Millennium Cohort Study. BMJ Open. 2013;3:e002893.

    PubMed  PubMed Central  Article  Google Scholar 

  31. Pulsford RM, Cortina-Borja M, Rich C, Kinnafick FE, Dezateux C, Griffiths LJ. Actigraph accelerometer-defined boundaries for sedentary behaviour and physical activity intensities in 7 year old children. PLoS ONE. 2011;6:e21822.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  32. U.S. Department of Health and Human Service. Physical activity guidelines for Americans. Washington, DC, USA: U.S. Department of Health and Human Service; 2008.

    Google Scholar 

  33. Poulsen G, Kurinczuk JJ, Wolke D, Boyle EM, Field D, Alfirevic Z, et al. Accurate reporting of expected delivery date by mothers 9 months after birth. J Clin Epidemiol. 2011;64:1444–50.

    PubMed  Article  PubMed Central  Google Scholar 

  34. Bland R. Measuring “social class”: a discussion of the Registrar-General’s Classification. Sociology. 1979;13:283–91.

    Article  Google Scholar 

  35. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393.

    PubMed  PubMed Central  Article  Google Scholar 

  36. Enders C. The performance of the full information maximum likelihood estimator in multiple regression models with missing data. Educ Psychol Meas. 2001;61:713–40.

    Article  Google Scholar 

  37. Bross IDJ. How to use ridit analysis. Biometrics. 1958;14:18–38.

    Article  Google Scholar 

  38. Hamer M, Stamatakis E. Relative proportion of vigorous physical activity, total volume of moderate to vigorous activity, and body mass index in youth: the Millennium Cohort Study. Int J Obes. 2018;42:1239–42.

    Article  Google Scholar 

  39. Jago R, Salway R, Emm-Collison L, Sebire SJ, Thompson JL, Lawlor DA. Association of BMI category with change in children’s physical activity between ages 6 and 11 years: a longitudinal study. Int J Obes. 2020;44:104–13.

    CAS  Article  Google Scholar 

  40. Admassu B, Ritz C, Wells JCK, Girma T, Andersen GS, Belachew T, et al. Accretion of fat-free mass rather than fat mass in infancy is positively associated with linear growth in childhood. J Nutr. 2018;148:607–15.

    PubMed  Article  PubMed Central  Google Scholar 

  41. Chomtho S, Wells JC, Williams JE, Davies PS, Lucas A, Fewtrell MS. Infant growth and later body composition: evidence from the 4-component model. Am J Clin Nutr. 2008;87:1776–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  42. Patro B, Liber A, Zalewski B, Poston L, Szajewska H, Koletzko B. Maternal and paternal body mass index and offspring obesity: a systematic review. Ann Nutr Metab. 2013;63:32–41.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  43. Richmond RC, Timpson NJ, Felix JF, Palmer T, Gaillard R, McMahon G, et al. Using genetic variation to explore the causal effect of maternal pregnancy adiposity on future offspring adiposity: a Mendelian randomisation study. PLoS Med. 2017;14:e1002221.

    PubMed  PubMed Central  Article  Google Scholar 

  44. Schnurr TM, Morgen CS, Borisevich D, Beaumont RN, Engelbrechtsen L, Angquist L, et al. The influence of transmitted and non-transmitted parental BMI-associated alleles on the risk of overweight in childhood. Sci Rep. 2020;10:4806.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. den Hoed M, Brage S, Zhao JH, Westgate K, Nessa A, Ekelund U, et al. Heritability of objectively assessed daily physical activity and sedentary behavior. Am J Clin Nutr. 2013;98:1317–25.

    Article  CAS  Google Scholar 

  46. Beardsall K, Ong KK, Murphy N, Ahmed ML, Zhao JH, Peeters MW, et al. Heritability of childhood weight gain from birth and risk markers for adult metabolic disease in prepubertal twins. J Clin Endocrinol Metab. 2009;94:3708–13.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  47. Butte NF, Gregorich SE, Tschann JM, Penilla C, Pasch LA, De Groat CL, et al. Longitudinal effects of parental, child and neighborhood factors on moderate-vigorous physical activity and sedentary time in Latino children. Int J Behav Nutr Phys Act. 2014;11:108.

    PubMed  PubMed Central  Article  Google Scholar 

  48. Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology. 2009;20:488–95.

    PubMed  PubMed Central  Article  Google Scholar 

  49. Johnson W. Analytical strategies in human growth research. Am J Hum Biol. 2015;27:69–83.

    PubMed  Article  PubMed Central  Google Scholar 

  50. Keijzer-Veen MG, Euser AM, van Montfoort N, Dekker FW, Vandenbroucke JP, Van Houwelingen HC. A regression model with unexplained residuals was preferred in the analysis of the fetal origins of adult diseases hypothesis. J Clin Epidemiol. 2005;58:1320–4.

    PubMed  Article  Google Scholar 

  51. Brix N, Ernst A, Lauridsen LLB, Parner E, Stovring H, Olsen J, et al. Timing of puberty in boys and girls: a population-based study. Paediatr Perinat Epidemiol. 2019;33:70–8.

    PubMed  Article  Google Scholar 

  52. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969;44:291–303.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970;45:13–23.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  54. Arnold KF, Berrie L, Tennant PWG, Gilthorpe MS. A causal inference perspective on the analysis of compositional data. Int J Epidemiol. 2020.

  55. Froberg A, Raustorp A. Objectively measured sedentary behaviour and cardio-metabolic risk in youth: a review of evidence. Eur J Pediatr. 2014;173:845–60.

    PubMed  Article  Google Scholar 

  56. Verswijveren S, Lamb KE, Bell LA, Timperio A, Salmon J, Ridgers ND. Associations between activity patterns and cardio-metabolic risk factors in children and adolescents: a systematic review. PLoS ONE. 2018;13:e0201947.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  57. Wijndaele K, White T, Andersen LB, Bugge A, Kolle E, Northstone K, et al. Substituting prolonged sedentary time and cardiovascular risk in children and youth: a meta-analysis within the International Children’s Accelerometry Database (ICAD). Int J Behav Nutr Phys Act. 2019;16:96.

    PubMed  PubMed Central  Article  Google Scholar 

  58. Rich C, Cortina-Borja M, Dezateux C, Geraci M, Sera F, Calderwood L, et al. Predictors of non-response in a UK-wide cohort study of children’s accelerometer-determined physical activity using postal methods. BMJ Open. 2013;3:e002290.

    PubMed  PubMed Central  Article  Google Scholar 

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Funding

This work was funded by the UK Medical Research Council (WJ New Investigator Research Grant: MR/P023347/1). WJ acknowledges support from the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, which is a partnership between University Hospitals of Leicester NHS Trust, Loughborough University, and the University of Leicester.

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WJ conceptualized the study, carried out the analyses, and drafted the initial manuscript. All authors made substantial contributions to the interpretation of the data, revised the manuscript critically for important intellectual content, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

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Correspondence to William Johnson.

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Johnson, W., Norris, T., De Freitas, R. et al. Is the positive relationship of infant weight gain with adolescent adiposity attenuated by moderate-to-vigorous physical activity in childhood? Evidence from the Millennium Cohort Study. Int J Obes 45, 84–94 (2021). https://doi.org/10.1038/s41366-020-00656-7

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