Pediatrics

Prospective associations between social vulnerabilities and children’s weight status. Results from the IDEFICS study

Abstract

Background/objectives

In high-income countries, childhood obesity follows a clear socioeconomic gradient with greater prevalence in children with lower socioeconomic status (SES). The extent to which the trend of other social vulnerabilities over time and the accumulation of these vulnerabilities can affect children’s weight is still unknown.

Subjects/methods

In the IDEFICS study, 8624 children aged 2.0–9.9 years from eight European countries were examined at baseline and after 2 years. Sociodemographic variables, maternal body mass index (BMI), and lifestyle were reported by parents. Children were measured and classified as thin, normal weight, and overweight/obese using the extended IOTF criteria. Four vulnerable groups were defined: children whose parents were migrants, children whose parents lack a social network, children from non-traditional families (children not living with both biological parents), and children with unemployed parents. Logistic mixed-effects models were used to study the association between vulnerabilities and children’s weight at baseline and follow-up, temporal trends in vulnerabilities and children’s weight and accumulation of vulnerabilities and children’s weight. Models were adjusted for lifestyle, maternal BMI, parental education, and income.

Results

Children whose parents lost their social support at follow-up were more likely to be thin than non-vulnerable children (OR = 1.69, 99% CI = 1.03–2.78). Children whose parents had a migrant background (OR = 1.30, 99% CI 1.04–1.62), children from non-traditional families at both time points (OR = 1.40, 99% CI 1.03–1.90) and whose parents were unemployed at baseline and follow-up (OR = 2.03, 99% CI 1.03–3.99) were more likely to be overweight/obese compared to non-vulnerable children. Cross-sectionally, we did not find an association between parental lack of network, non-traditional family structure, or employment and children’s weight status.

Conclusions

Policy actions are required to tackle inadequate weight loss and gain among vulnerable children (especially those exposed over the long term) since they are at a higher risk of thinness and overweight.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Fig. 1
Fig. 2

References

  1. 1.

    World Health Organization (WHO). Global strategy on diet, physical activity and health: childhood obesity and overweight. http://www.who.int/dietphysicalactivity/childhood/en/. 2017.

  2. 2.

    Biro FM, Wien M. Childhood obesity and adult morbidities. Am J Clin Nutr. 2010;91:1499S–1505S.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Rokholm B, Baker JL, Sorensen TI. The levelling off of the obesity epidemic since the year 1999—a review of evidence and perspectives. Obes Rev. 2010;11:835–46.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    White J, Rehkopf D, Mortensen LH. Trends in socioeconomic inequalities in body mass index, underweight and obesity among English children, 2007–2008 to 2011–2012. PLoS ONE. 2016;11:e0147614.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Peeters A, Backholer K. Reducing socioeconomic inequalities in obesity: the role of population prevention. Lancet Diabetes Endocrinol. 2015;3:838–40.

    Article  PubMed  Google Scholar 

  6. 6.

    Chung A, Backholer K, Wong E, Palermo C, Keating C, Peeters A. Trends in child and adolescent obesity prevalence in economically advanced countries according to socioeconomic position: a systematic review. Obes Rev. 2016;17:276–95.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Iguacel I, Fernandez-Alvira JM, Bammann K, De Clercq B, Eiben G, Gwozdz W, et al. Associations between social vulnerabilities and dietary patterns in European children: the Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS (IDEFICS) study. Br J Nutr. 2016;116:1288–97.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Iguacel I, Michels N, Fernandez-Alvira JM, Bammann K, De Henauw S, Felso R, et al. Associations between social vulnerabilities and psychosocial problems in European children. Results from the IDEFICS study. Eur Child Adolesc Psychiatry. 2017;26:1105–17.

    Article  PubMed  Google Scholar 

  9. 9.

    Iguacel I, Fernández-Alvira JM, Labayen I, Moreno LA, Samper MP, Rodríguez G. Social vulnerabilities as determinants of overweight in 2-, 4- and 6-year-old Spanish children. Eur J Public Health. 2017;27:788–96.

    Google Scholar 

  10. 10.

    Harvey JR, Ogden D. Obesity treatment in disadvantaged population groups: where do we stand and what can we do? Prev Med. 2014;68:71–5.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Cutter SL, Carolina UoS, Boruff BJ, Carolina UoS, Shirley WL, Carolina UoS. Social vulnerability to environmental hazards. Soc Sci Q. 2003;84:242–61.

    Article  Google Scholar 

  12. 12.

    Labree W, van de Mheen D, Rutten F, Rodenburg G, Koopmans G, Foets M. Differences in overweight and obesity among children from migrant and native origin: the role of physical activity, dietary intake, and sleep duration. PLoS ONE. 2015;10:e0123672.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Chen AY, Escarce JJ. Family structure and childhood obesity, Early Childhood Longitudinal Study—Kindergarten Cohort. Prev Chronic Dis. 2010;7:A50.

    PubMed  PubMed Central  Google Scholar 

  14. 14.

    Lissner L, Wijnhoven TM, Mehlig K, Sjoberg A, Kunesova M, Yngve A, et al. Socioeconomic inequalities in childhood overweight: heterogeneity across five countries in the WHO European Childhood Obesity Surveillance Initiative (COSI-2008). Int J Obes. 2016;40:796–802.

    CAS  Article  Google Scholar 

  15. 15.

    Gerald LB, Anderson A, Johnson GD, Hoff C, Trimm RF. Social class, social support and obesity risk in children. Child Care Health Dev. 1994;20:145–63.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Braveman P, Gottlieb L. The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep. 2014;129:19–31.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Parks EP, Kumanyika S, Moore RH, Stettler N, Wrotniak BH, Kazak A. Influence of stress in parents on child obesity and related behaviors. Pediatrics. 2012;130:e1096–104.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    De Henauw S, Verbestel V, Marild S, Barba G, Bammann K, Eiben G, et al. The IDEFICS community-oriented intervention programme: a new model for childhood obesity prevention in Europe? Int J Obes. 2011;35:S16–23.

    Article  Google Scholar 

  19. 19.

    Ahrens W, Bammann K, Siani A, Buchecker K, De Henauw S, Iacoviello L, et al. The IDEFICS cohort: design, characteristics and participation in the baseline survey. Int J Obes. 2011;35:S3–15.

    Article  Google Scholar 

  20. 20.

    Bammann K, Gwozdz W, Lanfer A, Barba G, De Henauw S, Eiben G, et al. Socioeconomic factors and childhood overweight in Europe: results from the multi-centre IDEFICS study. Pediatr Obes. 2013;8:1–12.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Meesters PD, Comijs HC, de Haan L, Smit JH, Eikelenboom P, Beekman AT, et al. Subjective quality of life and its determinants in a catchment area based population of elderly schizophrenia patients. Schizophr Res. 2013;147:275–80.

    Article  PubMed  Google Scholar 

  22. 22.

    Waldfogel J, Craigie TA, Brooks-Gunn J. Fragile families and child wellbeing. Future Child. 2010;20:87–112.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Agnafors S, Sydsjo G, Comasco E, Bladh M, Oreland L, Svedin CG. Early predictors of behavioural problems in pre-schoolers—a longitudinal study of constitutional and environmental main and interaction effects. BMC Pediatr. 2016;16:76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Huybrechts I, Bornhorst C, Pala V, Moreno LA, Barba G, Lissner L, et al. Evaluation of the children’s eating habits questionnaire used in the IDEFICS study by relating urinary calcium and potassium to milk consumption frequencies among European children. Int J Obes. 2011;35:S69–78.

    CAS  Article  Google Scholar 

  25. 25.

    Stomfai S, Ahrens W, Bammann K, Kovács É, Mårild S, Michels N, et al. Intra- and inter-observer reliability in anthropometric measurements in children. Int J Obes. 2011;35:S45–51.

    Article  Google Scholar 

  26. 26.

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

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    UNESCO. Statistics. Montreal, QC: International Standard Classification of Education (ISCED); 2006.

  28. 28.

    Kim S, Egerter S, Cubbin C, Takahashi ER, Braveman P. Potential implications of missing income data in population-based surveys: an example from a postpartum survey in California. Public Health Rep. 2007;122:753–63.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Grow HM, Cook AJ, Arterburn DE, Saelens BE, Drewnowski A, Lozano P. Child obesity associated with social disadvantage of children’s neighborhoods. Soc Sci Med. 2010;71:584–91.

    Article  PubMed Central  Google Scholar 

  30. 30.

    Shrewsbury V, Wardle J. Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990-2005. Obesity. 2008;16:275–84.

    Article  PubMed  Google Scholar 

  31. 31.

    Wang Y, Lim H. The global childhood obesity epidemic and the association between socio-economic status and childhood obesity. Int Rev Psychiatry. 2012;24:176–88.

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Nyberg G, Norman Å, Sundblom E, Zeebari Z, Elinder LS. Effectiveness of a universal parental support programme to promote health behaviours and prevent overweight and obesity in 6-year-old children in disadvantaged areas, the Healthy School Start Study II, a cluster-randomised controlled trial. Int J Behav Nutr Phys Act. 2016;21:13.

    Google Scholar 

  33. 33.

    Heredia NI, Ranjit N, Warren JL, Evans AE. Association of parental social support with energy balance-related behaviors in low-income and ethnically diverse children: a cross-sectional study. BMC Public Health. 2016;16:1182.

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Tate EB, Wood W, Liao Y, Dunton GF. Do stressed mothers have heavier children?: a meta-analysis on the relationship between maternal stress and child body mass index. Obes Rev. 2015;16:351–61.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Stenhammar C.Department of Women’s and Children’s Health UU, Uppsala, Sweden, Olsson G, Department of Neuroscience and Department of Public Health and Caring Sciences UU, Uppsala, Sweden, Bahmanyar S, Clinical Epidemiology Unit KH, Karolinska Institutet, Stockholm, Sweden, et al. Family stress and BMI in young children. Acta Paediatr. 2010;99:1205–12.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Strauss RS, Knight J. Influence of the home environment on the development of obesity in children. Pediatrics. 1999;103:e85.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Gibson LY, Byrne SM, Davis EA, Blair E, Jacoby P, Zubrick SR. The role of family and maternal factors in childhood obesity. Med J Aust. 2007;186:591–5.

    PubMed  Google Scholar 

  38. 38.

    Yannakoulia M, Papanikolaou K, Hatzopoulou I, Efstathiou E, Papoutsakis C, Dedoussis GV, et al. Association between family divorce and children’s BMI and meal patterns: the GENDAI study. Obesity. 2008;16:1382–7.

    Article  PubMed  Google Scholar 

  39. 39.

    Vanaelst B, De Vriendt T, Ahrens W, Bammann K, Hadjigeorgiou C, Konstabel K, et al. Prevalence of psychosomatic and emotional symptoms in European school-aged children and its relationship with childhood adversities: results from the IDEFICS study. Eur Child Adolesc Psychiatry. 2012;21:253–65.

    Article  PubMed  Google Scholar 

  40. 40.

    Vanaelst B, Huybrechts I, De Bourdeaudhuij I, Bammann K, Hadjigeorgiou C, Eiben G, et al. Prevalence of negative life events and chronic adversities in European pre- and primary-school children: results from the IDEFICS study. Arch Public Health. 2012;22:70.

    Google Scholar 

  41. 41.

    Labree LJ, van de Mheen H, Rutten FF, Foets M. Differences in overweight and obesity among children from migrant and native origin: a systematic review of the European literature. Obes Rev. 2011;12:e535–47.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Delavari M, Sønderlund AL, Swinburn B, Mellor D, Renzaho A. Acculturation and obesity among migrant populations in high income countries—a systematic review. BMC Public Health. 2013;13:458.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Gordon-Larsen P, Harris KM, Ward DS, Popkin BM. Acculturation and overweight-related behaviors among Hispanic immigrants to the US: the National Longitudinal Study of Adolescent Health. Soc Sci Med. 2003;57:2023–34.

    Article  PubMed  Google Scholar 

  44. 44.

    Hope S, Pearce A, Whitehead M, Law C. Parental employment during early childhood and overweight at 7-years: findings from the UK Millennium Cohort Study. BMC Obes. 2015;2:33.

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Cawley J, Liu F. Maternal employment and childhood obesity: a search for mechanisms in time use data. Econ Hum Biol. 2012;10:352–64.

    Article  PubMed  Google Scholar 

  46. 46.

    Bauer KW, Hearst MO, Escoto K, Berge JM, Neumark-Sztainer D. Parental employment and work-family stress: associations with family food environments. Soc Sci Med. 2012;75:496–504.

    Article  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Voss M, Nylen L, Floderus B, Diderichsen F, Terry PD. Unemployment and early cause-specific mortality: a study based on the Swedish twin registry. Am J Public Health. 2004;94:2155–61.

    Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Iguacel I, Fernandez-Alvira JM, Bammann K, Chadjigeorgiou C, De Henauw S, Heidinger-Felso R, et al. Social vulnerability as a predictor of physical activity and screen time in European children. Int J Public Health. 2018;63:283–95.

    Article  PubMed  Google Scholar 

  49. 49.

    Hense S, Pohlabeln H, Nathalie M, Mårild S, Lissner L, Kovacs E, et al. Determinants of attrition to follow-up in a multicentre cohort study in children-results from the IDEFICS Study. Epidemiol Res Int. 2013;2013:1.

    Article  Google Scholar 

Download references

Acknowledgements

This work has been done as part of the IDEFICS Study (http://www.idefics.eu). The authors gratefully acknowledge the financial support of the European Community within the Sixth RTD Framework Programme Contract No. 016181 (FOOD). II has been financed by the FPU (grant reference FPU014/00922) Predoctoral Programmes (Spanish Ministry of Education and Science). We thank the IDEFICS children and their parents who generously volunteered and participated in this project.

Author contributions

II carried out the statistical analysis and drafted the manuscript along with LAM. NM and CB designed the statistical analyses. KB, JMF-A, WG, AS, and PR developed the measurement instruments; WA, LL, LR, MT, LAM, and TV supervised the national data collection. Authors read and critically reviewed the manuscript.

Author information

Affiliations

Authors

Consortia

Corresponding author

Correspondence to Isabel Iguacel.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Iguacel, I., Fernández-Alvira, J.M., Ahrens, W. et al. Prospective associations between social vulnerabilities and children’s weight status. Results from the IDEFICS study. Int J Obes 42, 1691–1703 (2018). https://doi.org/10.1038/s41366-018-0199-6

Download citation

Further reading