Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Epidemiology and Population Health

Opposite associations of household income with adolescent body mass index according to migrant status: Hong Kong’s “Children of 1997” birth cohort

Abstract

Background/objectives:

In economically developed settings, household income is usually inversely associated with child and adolescent adiposity, but this association may not extend to migrants. Hong Kong is a unique developed setting to study how household income and adolescent adiposity vary by migrant status given many Hong Kong-born Chinese children were born to parents who migrated from neighboring provinces of Mainland China.

Subjects/methods:

We examined differences between the associations of absolute household income vs. relative household income on adolescent body mass index (BMI) z-score or overweight (including obesity) status using a linear or logistic model in a Chinese birth cohort (n = 5613, 68% follow-up). We focused on whether the associations differed by mother’s or father’s migrant status (birthplace).

Results:

No association was found between absolute household income and BMI z-score among adolescents with either native or migrant mothers. However, the association of relative household income with BMI z-score varied by mother’s migrant status (P-values for interaction <0.0005). In adolescents of native born mothers, greater relative household income deprivation was associated with higher BMI z-score (0.03 z-score per USD 128 difference in Yitzhaki index, 95% confidence interval (CI) 0.01 to 0.05). However, in adolescents of migrant mothers, greater relative household income deprivation was associated with lower BMI z-score (−0.05, 95% CI −0.09 to −0.01). Similar association of relative household income with overweight (including obesity) status was found in adolescents of native born mothers but not in adolescents of migrant mothers.

Conclusions:

Relative income (mediated by social comparisons with others in society) appears to be relevant to adolescent adiposity, but the association depends on the interplay between individual characteristics (migrant background) and societal context.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Department of Health Public Health Research Consortium, Law C, Power C, Graham H, Merrick D. Obesity and health inequalities. Obes Rev. 2007;8:19–22. Suppl 1

    Article  Google Scholar 

  2. Sobal J, Stunkard AJ. Socioeconomic status and obesity: a review of the literature. Psychol Bull. 1989;105:260–75.

    Article  PubMed  CAS  Google Scholar 

  3. Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev. 2012;13:1067–79.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Wang Y. Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int J Epidemiol. 2001;30:1129–36.

    Article  CAS  Google Scholar 

  5. Due P, Damsgaard MT, Rasmussen M, Holstein BE, Wardle J, Merlo J, et al. Socioeconomic position, macroeconomic environment and overweight among adolescents in 35 countries. Int J Obes. 2009;33:1084–93.

    Article  CAS  Google Scholar 

  6. 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 

  7. Wang Y, Zhang Q. Are American children and adolescents of low socioeconomic status at increased risk of obesity? Changes in the association between overweight and family income between 1971 and 2002. Am J Clin Nutr. 2006;84:707–16.

    Article  CAS  Google Scholar 

  8. Van Hook J, Balistreri KS. Immigrant generation, socioeconomic status, and economic development of countries of origin: a longitudinal study of body mass index among children. Soc Sci Med. 2007;65:976–89.

    Article  Google Scholar 

  9. Harling G, Subramanian SV, Barnighausen T, Kawachi I. Income inequality and sexually transmitted in the United States: who bears the burden? Soc Sci Med. 2014;102:174–82.

    Article  Google Scholar 

  10. Putnam JJ, Allshouse JE. Food expenditures and income. In: Food consumption, prices, and expenditures, 1970-97. Washington, DC: Economic Research Service, United States Department of Agriculture (USDA); 1999.

  11. Drewnowski A. Obesity, diets, and social inequalities. Nutr Rev. 2009;67:S36–9. Suppl 1

    Article  PubMed  Google Scholar 

  12. Li X, Gauthier AH, Strohschein L. Why are some children left out? Factors barring Canadian children from participating in extracurricular activities. Can Stud Popul. 2009;36:325–45.

    Article  CAS  Google Scholar 

  13. Perry CD, Kenney GM. Preventive care for children in low-income families: how well do Medicaid and state children’s health insurance programs do? Pediatrics. 2007;120:e1393–401.

    Article  PubMed  Google Scholar 

  14. Runciman WG. Relative deprivation and social justice: a study of attitudes to social inequality in twentieth-century. England: University of California Press; 1966.

    Google Scholar 

  15. Wood AM, Boyce CJ, Moore SC, Brown GD. An evolutionary based social rank explanation of why low income predicts mental distress: a 17 year cohort study of 30,000 people. J Affect Disord. 2012;136:882–8.

    Article  PubMed  Google Scholar 

  16. Hamer M, Steptoe A. Cortisol responses to mental stress and incident hypertension in healthy men and women. J Clin Endocrinol Metab. 2012;97:E29–34.

    Article  PubMed  CAS  Google Scholar 

  17. Gundersen C, Mahatmya D, Garasky S, Lohman B. Linking psychosocial stressors and childhood obesity. Obes Rev. 2011;12:e54–63.

    Article  PubMed  CAS  Google Scholar 

  18. Kawachi I,Adler NE,Dow WH, Money, schooling, and health: mechanisms and causal evidence. Ann. Y Acad Sci. 2010;1186:56–68.

    Article  Google Scholar 

  19. Tsang S. A modern history of Hong Kong. London; New York: I.B. Tauris; 2003.

    Google Scholar 

  20. Schooling CM, Hui LL, Ho LM, Lam TH, Leung GM. Cohort profile: ‘Children of 1997’: a Hong Kong Chinese birth cohort. Int J Epidemiol. 2012;41:611–20.

    Article  Google Scholar 

  21. Organization for Economic Co-operation and Development (OECD) Project on Income Distribution and Poverty. Income Distribution Database (IDD): Gini, poverty, income, methods and concepts—what are equivalence scales? 2012 [15 Jan 2018]. Available from: http://www.oecd.org/social/income-distribution-database.htm [Under methods and concepts section] or http://www.oecd.org/els/soc/OECD-Note-EquivalenceScales.pdf.

  22. Kwok MK, Subramanian SV, Leung GM, Schooling CM. Household income and adolescent blood pressure in a Chinese birth cohort: “Children of 1997”. Soc Sci Med. 2015;144:88–95.

    Article  Google Scholar 

  23. Yitzhaki S. Relative deprivation and the Gini coefficient. Quaterly J Econ. 1979;93:321–4.

    Article  Google Scholar 

  24. Brown GDA, Gardner J, Oswald AJ, Qian J. Does wage rank affect employees’ wellbeing? IZA Discussion paper series, No.1505 2005.

  25. World Health Organization (WHO). WHO growth reference 5-19 years. Geneva: WHO; 2007.

    Google Scholar 

  26. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240–3.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Sun X, Briel M, Walter SD, Guyatt GH. Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses. BMJ. 2010;340:850–4.

    Article  Google Scholar 

  28. Seaman SR, White IR, Copas AJ, Li L. Combining multiple imputation and inverse-probability weighting. Biometrics. 2012;68:129–37.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res. 1999;8:3–15.

    Article  PubMed  CAS  Google Scholar 

  30. Moons KG, Donders RA, Stijnen T, Harrell FE Jr. Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol. 2006;59:1092–101.

    Article  PubMed  Google Scholar 

  31. Powell LM, Wada R, Krauss RC, Wang Y. Ethnic disparities in adolescent body mass index in the United States: the role of parental socioeconomic status and economic contextual factors. Soc Sci Med. 2012;75:469–76.

    Article  Google Scholar 

  32. Oliver LN, Hayes MV. Effects of neighbourhood income on reported body mass index: an eight year longitudinal study of Canadian children. BMC Public Health. 2008;8:16.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rossen LM. Neighbourhood economic deprivation explains racial/ethnic disparities in overweight and obesity among children and adolescents in the U.S.A. J Epidemiol Community Health. 2014;68:123–9.

    Article  PubMed  Google Scholar 

  34. Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med. 2008;66:1429–36.

    Article  Google Scholar 

  35. Lam KC, Liu PW. Earnings divergence of Immigrants. J. Labor Econ. 2002;20:86–104.

    Article  Google Scholar 

  36. Cheung NW. Social stress, locality of social ties and mental well-being: the case of rural migrant adolescents in urban China. Health Place. 2014;27:142–54.

    Article  PubMed  Google Scholar 

  37. Leung CY, Leung GM, Schooling CM. Migrant status and child and adolescent psychological well-being: evidence from Hong Kong’s ‘Children of 1997’ birth cohort. J Epidemiol Community Health. 2015;69:156–61.

    Article  PubMed  Google Scholar 

  38. Lam KC, Liu PW. Intergenerational educational mobility in Hong Kong: are immigrants more mobile than natives?: Institute of Global Economics and Finance of The Chinese University of Hong Kong; 2015 [31 May 2017]. Available from: http://www.igef.cuhk.edu.hk/igef_media/working-paper/IGEF/igef_working_paper_no_42_eng.pdf.

  39. Albrecht SS, Gordon-Larsen P. Socioeconomic gradients in body mass index (BMI) in US immigrants during the transition to adulthood: examining the roles of parental education and intergenerational educational mobility. J Epidemiol Community Health. 2014;68:842–8.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Beydoun MA, Wang Y. Parent-child dietary intake resemblance in the United States: evidence from a large representative survey. Soc Sci Med. 2009;68:2137–44.

    Article  Google Scholar 

  41. Lee S. Fat, fatigue and the feminine: the changing cultural experience of women in Hong Kong. Cult Med Psychiatry. 1999;23:51–73.

    Article  PubMed  CAS  Google Scholar 

  42. Woo J, Leung SS, Ho SC, Sham A, Lam TH, Janus ED. Influence of educational level and marital status on dietary intake, obesity and other cardiovascular risk factors in a Hong Kong Chinese population. Eur J Clin Nutr. 1999;53:461–7.

    Article  CAS  Google Scholar 

  43. Jones-Smith JC, Gordon-Larsen P, Siddiqi A, Popkin BM. Emerging disparities in overweight by educational attainment in Chinese adults (1989-2006). Int J Obes. 2012;36:866–75.

    Article  CAS  Google Scholar 

  44. Lam KC, Liu PW. Relative returns to skills and assimilation of immigrants in Hong Kong. Pac Econ Rev. 2002;7:229–43.

    Article  Google Scholar 

  45. Egerter S, Braveman P, Sadegh-Nobari T, Grossman-Kahn R, Dekker M. Exploring the social determinants of health: education and health. United States: Robert Wood Johnson Foundation Comission to Build a Healthier America; 2011.

    Google Scholar 

  46. Zhang X. The effects of parental education and family income on mother-child relationships, father-child relationships, and family environments in the People’s Republic of China. Fam Process. 2012;51:483–97.

    Article  PubMed  Google Scholar 

  47. Willgerodt MA. Family and peer influences on adjustment among Chinese, Filipino, and White youth. Nurs Res. 2008;57:395–405.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Schooling CM, Yau C, Cowling BJ, Lam TH, Leung GM. Socio-economic disparities of childhood body mass index in. newly developed population: evidence from Hong Kong’s ‘Children of 1997’ birth cohort. Arch Dis Child. 2010;95:437–43.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank colleagues at the Student Health Service and Family Health Service of the Department of Health for their assistance and collaboration. They thank Dr. Connie Hui for her assistance with the record linkage and the late Dr. Connie. for coordinating the project and all the fieldwork for the initial study in 1997–1998. M.K.K. thanks the Takemi Program in International Health at the Harvard T.H. Chan School of Public Health for her fellowship during which this manuscript was prepared.

Funding:

This work is a sub-study of the “Children of 1997” birth cohort which was initially supported by the Health Care and Promotion Fund, Health and Welfare Bureau, Government of the Hong Kong SAR [HCPF Grant #216106] and re-established in 2005 funded by the Health and Health Services Research Fund [HHSRF Grant #03040771]. This sub-study was funded by the Research Fund for the Control of Infectious Diseases [RFCID Grant #04050172] and the Health and Health Services Research Fund [HHSRF Grants #07080751 and #08090761], Government of the Hong Kong SAR.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Mary Schooling.

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

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kwok, M.K., Schooling, C.M., Subramanian, S.V. et al. Opposite associations of household income with adolescent body mass index according to migrant status: Hong Kong’s “Children of 1997” birth cohort. Int J Obes 42, 1221–1229 (2018). https://doi.org/10.1038/s41366-018-0118-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41366-018-0118-x

Search

Quick links