Abstract
There is evidence that poverty is related to adverse child health outcomes. Yet, evidence is lacking on how economic hardship experiences during early childhood are related to adolescent obesity, how the relationship may differ by child sex, in addition to the potential child and maternal behavioral factors that link economic hardship and adolescent obesity. The purpose of the current study was to address this gap by using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 1814). The analytic sample included 50.5% girls, 20% experiencing overweight status, and 19% experiencing obesity. Majority of the adolescents were born to non-Hispanic black (49%), U.S. born (86%), married/cohabitating mothers (61%) with high school or greater level of education (75%). The economic hardship trajectory classes were determined using the latent growth mixture modeling approach and supported a 4-class trajectory model, with 5% of the adolescents in the high-increasing economic hardship trajectory class. The children in the high-increasing economic hardship class had increased odds of developing overweight/obesity in adolescence compared to those in low-stable class. This association was significantly moderated by child sex (i.e., relationship was significant for adolescent boys). Parenting stress and child snacking behaviors did not significantly mediate the association between economic hardship classes and overweight/obesity. Economic hardships that increase through early childhood need to be recognized as an obesity risk factor particularly for adolescent boys.
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References
Abidin, R. (1995). Manual for the parenting stress index. 3rd ed. Odessa, FL: Psychological Assessment Resources.
Alaimo, K. (2005). Food insecurity in the United States: an overview. Topics in Clinical Nutrition, 20(4), 281–298.
American Psychological Association. (2014). Stress in America: Are teens adopting adults’ stress habits?. Washington, D.C: American Psychological Association.
Bendheim-Thoman Center for Research on Child Wellbeing. (2018). User’s guide for the fragile families and child wellbeing study public data: Year 9. Princeton, NJ: Princeton University.
Ben-Shlomo, Y., & Kuh, D. (2002). A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. International Journal of Epidemiology, 31(2), 285–293.
Beverly, S. G. (2001). Measures of material hardship. Journal of Poverty, 5(1), 23–41. https://doi.org/10.1300/J134v05n01_02.
Birch, L., Savage, J. S., & Ventura, A. (2007). Influences on the development of children’s eating behaviours: from infancy to adolescence. Canadian Journal of Dietetic Practice and Research, 68(1), s1–s56.
Board on Children Youth and Families. (2000). From neurons to neighborhoods: The science of early childhood development. Washington: DC: National Academies Press.
Brooks-Gunn, J., & Duncan, G. J. (1997). The effects of poverty on children. The Future of Children, 7(2), 55–71.
Caprio, S., Daniels, S. R., Drewnowski, A., Kaufman, F. R., Palinkas, L. A., & Rosenbloom, A. L., et al. (2008). Influence of race, ethnicity, and culture on childhood obesity: implications for prevention and treatment. A consensus statement of shaping America’s Health and the obesity Society. Diabetes Care, 31(11), 2211–2221. https://doi.org/10.2337/dc08-9024.
Collins, C., Duncanson, K., & Burrows, T. (2014). A systematic review investigating associations between parenting style and child feeding behaviours. Journal of Human Nutrition and Dietetics, 27(6), 557–568. https://doi.org/10.1111/jhn.12192.
Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and the Family, 72(3), 685–704. https://doi.org/10.1111/j.1741-3737.2010.00725.x.
Council on Community Pediatrics, & Committee on Nutrition., (2015). Promoting food security for all children. Pediatrics, 136(5), e1431–e1438. https://doi.org/10.1542/peds.2015-3301.
Davis, M. M., Gance-Cleveland, B., Hassink, S., Johnson, R., Paradis, G., & Resnicow, K. (2007). Recommendations for prevention of childhood obesity. Pediatrics, 120(Supplt 4), S229–S253. https://doi.org/10.1542/peds.2007-2329E.
Demment, M. M., Haas, J. D., & Olson, C. M. (2014). Changes in family income status and the development of overweight and obesity from 2 to 15 years: a longitudinal study. BMC Public Health, 14, 417 https://doi.org/10.1186/1471-2458-14-417.
Drewnowski, A., & Darmon, N. (2005). Food choices and diet costs: an economic analysis. [Conference Paper]. Journal of Nutrition, 135(4), 900–904.
Gershoff, E. T., Aber, J. L., Raver, C. C., & Lennon, M. C. (2007). Income is not enough: incorporating material hardship into models of income associations with parenting and child development. Child Development, 78(1), 70–95. https://doi.org/10.1111/j.1467-8624.2007.00986.x.
Gundersen, C., Lohman, B. J., Garasky, S., Stewart, S., & Eisenmann, J. (2008). Food security, maternal stressors, and overweight among low-income US children: results from the National Health and Nutrition Examination Survey (1999-2002). Pediatrics, 122(3), e529–e540. https://doi.org/10.1542/peds.2008-0556.
Hales, C.M., Carroll, M.D., Fryar, C.D., & Ogden, C.L. (2017). Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS data brief, no 288, 1–8. Hyattsville, MD: National Center for Health Statistics. https://www.cdc.gov/nchs/data/databriefs/db288.pdf.
Halfon, N., & Hochstein, M. (2002). Life course health development: an integrated framework for developing health, policy, and research. The Milbank Quarterly, 80(3), 433–479. iii.
Heflin, C., London, A. S., & Scott, E. K. (2011). Mitigating material hardship: the strategies low-income families employ to reduce the consequences of poverty. Sociological Inquiry, 81(2), 223–246. https://doi.org/10.1111/j.1475-682X.2011.00369.x.
Hemmingsson, E. (2018). Early childhood obesity risk factors: socioeconomic diversity, family dysfunction, offspring distress, and junk food self-medication. Current Obesity Reports, 7(2), 204–209. https://doi.org/10.1007/s13679-018-0310-2.
Hernandez, D. C., & Jacknowitz, A. (2009). Transient, but not persistent, adult food insecurity influences toddler development. The Journal of Nutrition, 139(8), 1517–1524. https://doi.org/10.3945/jn.109.105593.
Hernandez, D. C., & Pressler, E. (2014). Accumulation of childhood poverty on young adult overweight or obese status: Race/ethnicity and gender disparities. Journal of Epidemiology and Community Health, 68(5), 478–484. https://doi.org/10.1136/jech-2013-203062.
Jackson, D. B., Johnson, K. R., Vaughn, M. G., & Hinton, M. E. (2019). The role of neighborhoods in household food insufficiency: considering interactions between physical disorder, low social capital, violence, and perceptions of danger. Social Science & Medicine, 221, 58–67. https://doi.org/10.1016/j.socscimed.2018.12.013.
Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317. https://doi.org/10.1111/j.1751-9004.2007.00054.x.
Kakinami, L., Seguin, L., Lambert, M., Gauvin, L., Nikiema, B., & Paradis, G. (2014). Poverty’s latent effect on adiposity during childhood: evidence from a Quebec birth cohort. Journal of Epidemiology and Community Health, 68(3), 239–245. https://doi.org/10.1136/jech-2012-201881.
Kendzor, D. E., Caughy, M. O., & Owen, M. T. (2012). Family income trajectory during childhood is associated with adiposity in adolescence: a latent class growth analysis. BMC Public Health, 12, 611 https://doi.org/10.1186/1471-2458-12-611.
Larson, B. A., Melgar-Quinonez, H. R., & Taylor, C. A. (2009). Correlates of fruit and vegetable intakes in US children. [Article]. Journal of the American Dietetic Association, 109(3), 474–478. https://doi.org/10.1016/j.jada.2008.11.022.
Lee, H., Andrew, M., Gebremariam, A., Lumeng, J. C., & Lee, J. M. (2014). Longitudinal associations between poverty and obesity from birth through adolescence. American Journal of Public Health, 104(5), e70–e76. https://doi.org/10.2105/ajph.2013.301806.
Little, R. J., & Rubin, D. B. (2019). Statistical analysis with missing data. Hoboken, NJ: Wiley. Vol. 793.
Maillot, M., & Drewnowski, A. (2011). Energy allowances for solid fats and added sugars in nutritionally adequate U.S. diets estimated at 17-33% by a linear programming model. The Journal of Nutrition, 141(2), 333–340. https://doi.org/10.3945/jn.110.131920.
McCubbin, H. I. (1979). Integrating coping behavior in family stress theory. Journal of Marriage and Family, 41(2), 237–244. https://doi.org/10.2307/351693.
McLeod, J. D., & Shanahan, M. J. (1993). Poverty, parenting, and children’s mental health. American Sociological Review, 58(3), 351–366. https://doi.org/10.2307/2095905.
National Institute of Child Health and Human Development. NICHD study of early child care and youth development: Phase IV, 2005-2008 [United States], Data collection instruments. Ann Arbor, MI: National Institute of Child Health and Human Development.
Nolen-Hoeksema, S., & Aldao, A. (2011). Gender and age differences in emotion regulation strategies and their relationship to depressive symptoms. Personality and Individual Differences, 51(6), 704–708. https://doi.org/10.1016/j.paid.2011.06.012.
Oddo, V. M., & Jones-Smith, J. C. (2015). Gains in income during early childhood are associated with decreases in BMI z scores among children in the United States. The American Journal of Clinical Nutrition, 101(6), 1225–1231. https://doi.org/10.3945/ajcn.114.096693.
Ouellette, T., Burstein, N., Long, D., & Beecrof, E. (2004). Measures of material hardship: Final report. Washington, DC: U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation.
Pan, L., May, A. L., Wethington, H., Dalenius, K., & Grummer-Strawn, L. M. (2013). Incidence of obesity among young US children living inlLow-income families, 2008–2011. Pediatrics, 132(6), 1006–1013. https://doi.org/10.1542/peds.2013-2145.
Pérez, A., Gabriel, K., Nehme, E. K., Mandell, D. J., & Hoelscher, D. M. (2015). Measuring the bias, precision, accuracy, and validity of self-reported height and weight in assessing overweight and obesity status among adolescents using a surveillance system. The International Journal of Behavioral Nutrition and Physical Activity, 12(Suppl 1), S2–S2. https://doi.org/10.1186/1479-5868-12-S1-S2.
Pulgaron, E. R. (2013). Childhood obesity: a review of increased risk for physical and psychological comorbidities. Clinical Therapeutics, 35(1), A18–A32. https://doi.org/10.1016/j.clinthera.2012.12.014.
Reichman, N. E., Teitler, J. O., Garfinkel, I., & McLanahan, S. S. (2001). Fragile Families: sample and design. Children and Youth Services Review, 23(4), 303–326. https://doi.org/10.1016/S0190-7409(01)00141-4.
Ryu, J. H., & Bartfeld, J. S. (2012). Household food insecurity during childhood and subsequent health status: the early childhood longitudinal study–kindergarten cohort. American Journal of Public Health, 102(11), e50–e55. https://doi.org/10.2105/ajph.2012.300971.
Ryu, E., & Cheong, J. (2017). Comparing indirect effects in different groups in single-group and multi-group structural equation models. Frontiers in psychology, 8, 747–747. https://doi.org/10.3389/fpsyg.2017.00747.
Sahoo, K., Sahoo, B., Choudhury, A. K., Sofi, N. Y., Kumar, R., & Bhadoria, A. S. (2015). Childhood obesity: causes and consequences. Journal of family medicine and primary care, 4(2), 187–192. https://doi.org/10.4103/2249-4863.154628.
Sapolsky, R. M. (2004). Mothering style and methylation. Nature Neuroscience, 7(8), 791–792. https://doi.org/10.1038/nn0804-791.
Shonkoff, J. P., Boyce, W. T., & McEwen, B. S. (2009). Neuroscience, molecular biology, and the childhood roots of health disparities: building a new framework for health promotion and disease prevention. JAMA, 301(21), 2252–2259. https://doi.org/10.1001/jama.2009.754.
Simen-Kapeu, A., & Veugelers, P. J. (2010). Should public health interventions aimed at reducing childhood overweight and obesity be gender-focused? BMC Public Health, 10(1), 340 https://doi.org/10.1186/1471-2458-10-340.
Tripicchio, G. L., Kachurak, A., Davey, A., Bailey, R. L., Dabritz, L. J., & Fisher, J. O. (2019). Associations between snacking and weight status among adolescents 12-19 years in the United States. Nutrients, 11(7), 1486 https://doi.org/10.3390/nu11071486.
U.S. Department of Agriculture, & Agricultural Research Service (2016). Snacks: Percentages of selected nutrients contributed by food and beverages consumed at snack occasions, by gender and age, what we eat in America, NHANES 2013-2014. https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/1314/Table_25_SNK_GEN_13.pdf. Accessed 19 Februray, 2020.
von Hippel, P. T. (2018). How many imputations do you need? A two-stage calculation using a quadratic rule. Sociological Methods & Research. https://doi.org/10.1177/0049124117747303.
Wang, Y. (2002). Is obesity associated with early sexual maturation? A comparison of the association in American boys versus girls. Pediatrics, 110(5), 903–910. https://doi.org/10.1542/peds.110.5.903.
Wang, Y., & Zhang, Q. (2006). 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. The American Journal of Clinical Nutrition, 84(4), 707–716. https://doi.org/10.1093/ajcn/84.4.707.
Yoo, J. P., Slack, K. S., & Holl, J. L. (2009). Material hardship and the physical health of school-aged children in low-income households. American Journal of Public Health, 99(5), 829–836. https://doi.org/10.2105/AJPH.2007.119776.
Zahnd, W. E., Rogers, V., Smith, T., Ryherd, S. J., Botchway, A., & Steward, D. E. (2015). Gender-specific relationships between socioeconomic disadvantage and obesity in elementary school students. Preventive Medicine, 81, 138–141. https://doi.org/10.1016/j.ypmed.2015.08.021.
Zilanawala, A., & Pilkauskas, N. V. (2012). Material hardship and child socioemotional behaviors: differences by types of hardship, timing, and duration. Children and Youth Services Review, 34(4), 814–825. https://doi.org/10.1016/j.childyouth.2012.01.008.
Ziol-Guest, K. M., Duncan, G. J., & Kalil, A. (2009). Early childhood poverty and adult body mass index. American Journal of Public Health, 99(3), 527–532. https://doi.org/10.2105/ajph.2007.130575.
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D.C.H conceptualized the study, participated in its design, coordination and helped to draft the paper; S.S.D participated in the design, performed the statistical analysis, participate in interpretation of the data and drafted the paper; B.R.S participate in interpretation of the data helped to draft the paper. All authors read and approved the final paper.
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Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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This study was performed in line with the principles of the Declaration of Helsinki. The FFCWS was reviewed and approved by Princeton University and Columbia University Institutional Review Boards. The current study was approved by the Institutional Review Board #13394-EX (Fragile Families Study) at University of Houston.
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Daundasekara, S.S., Schuler, B.R. & Hernandez, D.C. Stability and Change in Early Life Economic Hardship Trajectories and the Role of Sex in Predicting Adolescent Overweight/Obesity. J Youth Adolescence 49, 1645–1662 (2020). https://doi.org/10.1007/s10964-020-01249-3
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DOI: https://doi.org/10.1007/s10964-020-01249-3