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The Sociocultural Context for Obesity Prevention and Treatment in Children and Adolescents: Influences of Ethnicity and Gender

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Pediatric Obesity

Part of the book series: Contemporary Endocrinology ((COE))

Abstract

Obesity prevention and treatment ultimately involve changing individual eating and physical activity behaviors. These behaviors are strongly influenced by sociocultural variables (i.e., norms, values, and beliefs) and by aspects of related environmental contexts (i.e., physical and economic characteristics, policies, and practices) in communities, homes, schools, and media environments. The focus of this chapter is on how these factors influence the ability to effectively prevent and treat obesity in several US ethnic minority populations with above-average obesity prevalence: African or black Americans, Hispanic or Latino Americans, American Indians and Alaska Natives, and Native Hawaiian and Pacific Islander Americans. Both sociocultural and environmental context variations among ethnic groups are intertwined with sociodemographic variation, and the associations of these factors with obesity may vary by gender. The challenge is to identify sociocultural and contextual influences that predispose children in minority populations to obesity development and determine ways to account for these factors in developing effective solutions. These solutions may need to incorporate interventions that directly mitigate adverse social determinants of health.

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References

  1. Humes KR, Nicholas AJ, Ramirez RR. Overview of race and Hispanic origins, 2010 2010 Census Briefs: U.S. Bureau of the Census; 2011.

    Google Scholar 

  2. Colby SL, Ortman, JM. Projections of the size and composition of the U.S. Population: 2014 to 2060. US Census Bureau, Washington, DC, Current Population Reports, 2014; P25–1143.

    Google Scholar 

  3. Child Trends. Data Bank Indicators, 2015. http://www.childtrends.org/databank-indicators/.

  4. Annie E. Casey Foundation. Children in single-parent families by race. KIDS COUNT data center, 2015. http://datacenter.kidscount.org/data/tables/107-children-in-single-parent-families-by#detailed/1/any/false/573,869,36,868,867/10,11,9,12,1,185,13/432,431.

  5. Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK, et al. Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA. 2016;315(21):2292–9.

    Article  CAS  PubMed  Google Scholar 

  6. Lear SA, James PT, Ko GT, Kumanyika S. Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups. Eur J Clin Nutr. 2010;64(1):42–61.

    Article  CAS  PubMed  Google Scholar 

  7. World health Organization Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet (London, England). 2004;363(9403):157–63.

    Article  Google Scholar 

  8. Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284–91.

    Article  CAS  PubMed  Google Scholar 

  9. Pan L, McGuire LC, Blanck HM, May-Murriel AL, Grummer-Strawn LM. Racial/ethnic differences in obesity trends among young low-income children. Am J Prev Med. 2015;48(5):570–4.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Schell LM, Gallo MV. Overweight and obesity among North American Indian infants, children, and youth. Am J Hum Biol. 2012;24(3):302–13.

    Article  PubMed  PubMed Central  Google Scholar 

  11. National Center for Health Statistics. Health, United States, 2014: with special feature on adults aged 55–64. Washington, DC: U.S. Government Printing Office; 2015.

    Google Scholar 

  12. Frederick CB, Snellman K, Putnam RD. Increasing socioeconomic disparities in adolescent obesity. Proc Natl Acad Sci U S A. 2014;111(4):1338–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Fradkin C, Wallander JL, Elliott MN, Tortolero S, Cuccaro P, Schuster MA. Associations between socioeconomic status and obesity in diverse, young adolescents: variation across race/ethnicity and gender. Health Psychol. 2015;34(1):1–9.

    Article  PubMed  Google Scholar 

  14. Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States, 2005–2008. NCHS Data Brief. 2010;50:1–8.

    Google Scholar 

  15. May AL, Freedman D, Sherry B, Blanck HM. Obesity - United States, 1999-2010. MMWR Suppl. 2013;62(3):120–8.

    PubMed  Google Scholar 

  16. Logan JR, Stults B. The persistence of segregation in the metropolis: new findings from the 2010 Census. Census brief prepared for Project US2010. 2011. https://s4.ad.brown.edu/Projects/Diversity/Data/Report/report2.pdf.

  17. Grier SA, Kumanyika SK. The context for choice: health implications of targeted food and beverage marketing to African Americans. Am J Public Health. 2008;98(9):1616–29.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Lovasi GS, Hutson MA, Guerra M, Neckerman KM. Built environments and obesity in disadvantaged populations. Epidemiol Rev. 2009;31:7–20.

    Article  PubMed  Google Scholar 

  19. Powell LM, Wada R, Kumanyika SK. Racial/ethnic and income disparities in child and adolescent exposure to food and beverage television ads across the U.S. media markets. Health Place. 2014;29:124–31.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ohri-Vachaspati P, Isgor Z, Rimkus L, Powell LM, Barker DC, Chaloupka FJ. Child-directed marketing inside and on the exterior of fast food restaurants. Am J Prev Med. 2015;48(1):22–30.

    Article  PubMed  Google Scholar 

  21. Yancey AK, Cole BL, Brown R, Williams JD, Hillier A, Kline RS, et al. A cross-sectional prevalence study of ethnically targeted and general audience outdoor obesity-related advertising. Milbank Q. 2009;87(1):155–84.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hillier A, Cole BL, Smith TE, Yancey AK, Williams JD, Grier SA, et al. Clustering of unhealthy outdoor advertisements around child-serving institutions: a comparison of three cities. Health Place. 2009;15(4):935–45.

    Article  PubMed  Google Scholar 

  23. Powell LM, Kumanyika SK, Isgor Z, Rimkus L, Zenk SN, Chaloupka FJ. Price promotions for food and beverage products in a nationwide sample of food stores. Prev Med. 2016;86:106–13.

    Article  PubMed  Google Scholar 

  24. Isgor Z, Powell L, Rimkus L, Chaloupka F. Associations between retail food store exterior advertisements and community demographic and socioeconomic composition. Health Place. 2016;39:43–50.

    Article  PubMed  Google Scholar 

  25. Phipps EJ, Kumanyika SK, Stites SD, Singletary SB, Cooblall C, DiSantis KI. Buying food on sale: a mixed methods study with shoppers at an urban supermarket, Philadelphia, Pennsylvania, 2010–2012. Prev Chronic Dis. 2014;11:E151.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Spence JC, Cutumisu N, Edwards J, Evans J. Influence of neighbourhood design and access to facilities on overweight among preschool children. Int J Pediatr Obes. 2008;3(2):109–16.

    Article  PubMed  Google Scholar 

  27. Carver A, Timperio AF, Crawford DA. Neighborhood road environments and physical activity among youth: the CLAN study. J Urban Health. 2008;85(4):532–44.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006;117(2):417–24.

    Article  PubMed  Google Scholar 

  29. Zhu X, Lee C. Walkability and safety around elementary schools economic and ethnic disparities. Am J Prev Med. 2008;34(4):282–90.

    Article  PubMed  Google Scholar 

  30. Ferreira I, van der Horst K, Wendel-Vos W, Kremers S, van Lenthe FJ, Brug J. Environmental correlates of physical activity in youth—a review and update. Obes Rev. 2007;8(2):129–54.

    Article  CAS  PubMed  Google Scholar 

  31. Taylor WC, Lou D. Do all children have places to be active? Disparities in access to physical activity environments in racial and ethnic minority and lower-income communities. Active Living Research. 2011. http://activelivingresearch.org/files/Synthesis_Taylor-Lou_Disparities_Nov2011_0.pdf.

  32. United States Department of Agriculture. School Meals. 2016. https://www.fns.usda.gov/school-meals/healthy-hunger-free-kids-act.

  33. Hood NE, Colabianchi N, Terry-McElrath YM, O’Malley PM, Johnston LD. School wellness policies and foods and beverages available in schools. Am J Prev Med. 2013;45(2):143–9.

    Article  PubMed  Google Scholar 

  34. Hood NE, Colabianchi N, Terry-McElrath YM, O’Malley PM, Johnston LD. Physical activity breaks and facilities in US secondary schools. J School Health. 2014;84(11):697–705.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Larson N, Eisenberg ME, Berge JM, Arcan C, Neumark-Sztainer D. Ethnic/racial disparities in adolescents’ home food environments and linkages to dietary intake and weight status. Eat Behav. 2015;16:43–6.

    Article  PubMed  Google Scholar 

  36. Eisenberg ME, Larson NI, Berge JM, Thul CM, Neumark-Sztainer D. The home physical activity environment and adolescent BMI, physical activity, and TV viewing: disparities across a diverse sample. J Racial Ethnic Health Disparities. 2014;1(4):326–36.

    Article  Google Scholar 

  37. Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS Data Brief. 2015;219:1–8.

    Google Scholar 

  38. Renzaho AM, Kumanyika S, Tucker KL. Family functioning, parental psychological distress, child behavioural problems, socio-economic disadvantage and fruit and vegetable consumption among 4–12 year-old Victorians. Australia Health Promotion Int. 2011;26(3):263–75.

    Article  CAS  Google Scholar 

  39. Gundersen C, Lohman BJ, Garasky S, Stewart S, Eisenmann J. Food security, maternal stressors, and overweight among low-income US children: results from the National Health and Nutrition Examination Survey (1999–2002). Pediatrics. 2008;122(3):e529–40.

    Article  PubMed  Google Scholar 

  40. 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(5):e1096–104.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Walton K, Simpson JR, Darlington G, Haines J. Parenting stress: a cross-sectional analysis of associations with childhood obesity, physical activity, and TV viewing. BMC Pediatr. 2014;14:244.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Devine CM, Jastran M, Jabs J, Wethington E, Farell TJ, Bisogni CA. “A lot of sacrifices:” work-family spillover and the food choice coping strategies of low-wage employed parents. Soc Sci Med. 2006;63(10):2591–603.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sims R, Gordon S, Garcia W, Clark E, Monye D, Callender C, et al. Perceived stress and eating behaviors in a community-based sample of African Americans. Eat Behav. 2008;9(2):137–42.

    Article  PubMed  Google Scholar 

  44. Parks EP, Kazak A, Kumanyika S, Lewis L, Barg FK. Perspectives on stress, parenting, and children’s obesity-related behaviors in black families. Health Educ Behav. 2016;43(6):632–40.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Kenney EL, Gortmaker SL. United States adolescents’ television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr. 2017;182:144–9.

    Article  PubMed  Google Scholar 

  46. Ochoa A, Berge JM. Home environmental influences on childhood obesity in the Latino population: a decade review of literature. J Immigr Minor Health. 2017;19(2):430–47.

    Article  PubMed  Google Scholar 

  47. Taveras EM, Gillman MW, Kleinman K, Rich-Edwards JW, Rifas-Shiman SL. Racial/ethnic differences in early-life risk factors for childhood obesity. Pediatrics. 2010;125(4):686–95.

    Article  PubMed  Google Scholar 

  48. Rideout V, Lauricella A, Wartella E. Children, media, and race media use among white, black, hispanic, and Asian American Children. Center on Media and Human Development. School of Communication. Northwestern University. 2011. http://cmhd.northwestern.edu/wp-content/uploads/2011/06/SOCconfReportSingleFinal-1.pdf.

  49. Cespedes EM, Gillman MW, Kleinman K, Rifas-Shiman SL, Redline S, Taveras EM. Television viewing, bedroom television, and sleep duration from infancy to mid-childhood. Pediatrics. 2014;133(5):e1163–71.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Harris JL, Shehan C, Gross R, Kumanyika S, Lassiter V, Ramirez AG, Gallion K. Food advertising targeted to hispanic and black youth: contributing to health disparities. Hartford, CT: Rudd Center for Food Policy & Obesity University of Connecticut; 2015.

    Google Scholar 

  51. 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(3):469–76.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Bell RA, Cassady D, Culp J, Alcalay R. Frequency and types of foods advertised on Saturday morning and weekday afternoon English- and Spanish-language American television programs. J Nutr Educ Behav. 2009;41(6):406–13.

    Article  PubMed  Google Scholar 

  53. Thompson DA, Flores G, Ebel BE, Christakis DA. Comida en venta: after-school advertising on Spanish-language television in the United States. J Pediatr. 2008;152(4):576–81.

    Article  PubMed  Google Scholar 

  54. Fleming-Milici F, Harris JL. Television food advertising viewed by preschoolers, children and adolescents: contributors to differences in exposure for black and white youth in the United States. Pediatr Obes. 2016; Dec 15. doi:10.1111/ijpo.12203. PubMed PMID: 27977909. In print.

    Google Scholar 

  55. Gartner LM, Morton J, Lawrence RA, Naylor AJ, O'Hare D, Schanler RJ, et al. Breastfeeding and the use of human milk. Pediatrics. 2005;115(2):496–506.

    Article  PubMed  Google Scholar 

  56. Child Trends. Breastfeeding. Indicators on Children and Youth. November 2016. http://www.childtrends.org/databank-indicators/.

  57. Ryan AS, Zhou W. Lower breastfeeding rates persist among the Special Supplemental Nutrition Program for Women, Infants, and Children participants, 1978–2003. Pediatrics. 2006;117(4):1136–46.

    Article  PubMed  Google Scholar 

  58. Ryan AS, Zhou W, Arensberg MB. The effect of employment status on breastfeeding in the United States. Womens Health Issues. 2006;16(5):243–51.

    Article  PubMed  Google Scholar 

  59. Reedy J, Krebs-Smith SM. Dietary sources of energy, solid fats, and added sugars among children and adolescents in the United States. J Am Diet Assoc. 2010;110(10):1477–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Centers for Disease Control and Prevention. Youth Online. High School Youth Risk Behavior Survey, United States 2015 Results. 2015. https://nccd.cdc.gov/youthonline/App/Results.aspx?TT=A&OUT=0&SID=HS&QID=QQ&LID=XX&YID=2015&LID2=&YID2=&COL=S&ROW1=N&ROW2=N&HT=QQ&LCT=LL&FS=S1&FR=R1&FG=G1&FSL=S1&FRL=R1&FGL=G1&PV=&TST=False&C1=&C2=&QP=G&DP=1&VA=CI&CS=Y&SYID=&EYID=&SC=DEFAULT&SO=ASC.

  61. Han E, Powell LM. Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet. 2013;113(1):43–53.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Kimm SY, Glynn NW, Kriska AM, Barton BA, Kronsberg SS, Daniels SR, et al. Decline in physical activity in black girls and white girls during adolescence. N Engl J Med. 2002;347(10):709–15.

    Article  PubMed  Google Scholar 

  63. Boone JE, Gordon-Larsen P, Adair LS, Popkin BM. Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood. Int J Behav Nutr Phys Act. 2007;4:26.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Weeks FH, Powell TW, Illangasekare S, Rice E, Wilson J, Hickman D, et al. Bringing evidence-based sexual health programs to adolescents in black churches: applying knowledge from systematic adaptation frameworks. Health Educ Behav. 2016;43(6):699–704.

    Article  PubMed  Google Scholar 

  65. Kumanyika S. Obesity, health disparities, and prevention paradigms: hard questions and hard choices. Prev Chronic Dis. 2005;2(4):A02.

    PubMed  PubMed Central  Google Scholar 

  66. Ali MM, Rizzo JA, Heiland FW. Big and beautiful? Evidence of racial differences in the perceived attractiveness of obese females. J Adolesc. 2013;36(3):539–49.

    Article  PubMed  Google Scholar 

  67. Mikolajczyk RT, Iannotti RJ, Farhat T, Thomas V. Ethnic differences in perceptions of body satisfaction and body appearance among U.S. schoolchildren: a cross-sectional study. BMC Public Health. 2012;12:425.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Barroso CS, Peters RJ, Johnson RJ, Kelder SH, Jefferson T. Beliefs and perceived norms concerning body image among African-American and Latino teenagers. J Health Psychol. 2010;15(6):858–70.

    Article  PubMed  Google Scholar 

  69. Taylor WC, Yancey AK, Leslie J, Murray NG, Cummings SS, Sharkey SA, et al. Physical activity among African American and Latino middle school girls: consistent beliefs, expectations, and experiences across two sites. Women Health. 2000;30(2):67–82.

    Article  Google Scholar 

  70. Vu MB, Murrie D, Gonzalez V, Jobe JB. Listening to girls and boys talk about girls’ physical activity behaviors. Health Educ Behav. 2006;33(1):81–96.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Resnicow K, Baranowski T, Ahluwalia JS, Braithwaite RL. Cultural sensitivity in public health: defined and demystified. Ethn Dis. 1999;9(1):10–21.

    CAS  PubMed  Google Scholar 

  72. Kreuter MW, Lukwago SN, Bucholtz RD, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003;30(2):133–46.

    Article  PubMed  Google Scholar 

  73. Klesges RC, Obarzanek E, Kumanyika S, Murray DM, Klesges LM, Relyea GE, et al. The Memphis Girls’ health enrichment multi-site studies (GEMS): an evaluation of the efficacy of a 2-year obesity prevention program in African American girls. Arch Pediatr Adolesc Med. 2010;164(11):1007–14.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Kumanyika SK, Story M, Beech BM, Sherwood NE, Baranowski JC, Powell TM, et al. Collaborative planning for formative assessment and cultural appropriateness in the Girls health Enrichment Multi-site Studies (GEMS): a retrospection. Ethn Dis. 2003;13(1 Suppl 1):S15–29.

    PubMed  Google Scholar 

  75. Robinson TN, Killen JD, Kraemer HC, Wilson DM, Matheson DM, Haskell WL, et al. Dance and reducing television viewing to prevent weight gain in African-American girls: the Stanford GEMS pilot study. Ethn Dis. 2003;13(1 Suppl 1):S65–77.

    PubMed  Google Scholar 

  76. Institute of Medicine. Preventing childhood obesity: health in the balance. Koplan JP, Liverman CT, Kraak VI editors. Washington, DC: National Academy of Sciences; 2005.

    Google Scholar 

  77. Institute of Medicine. Accelerating progress in obesity prevention: solving the weight of the nation. Washington, DC: National Academies Press; 2012.

    Google Scholar 

  78. World Health Organization. Report of the commission on ending childhood obesity. Geneva, Switzerland; 2016.

    Google Scholar 

  79. Nader PR, Huang TT, Gahagan S, Kumanyika S, Hammond RA, Christoffel KK. Next steps in obesity prevention: altering early life systems to support healthy parents, infants, and toddlers. Child Obes (Print). 2012;8(3):195–204.

    Article  Google Scholar 

  80. Barr-Anderson DJ, Adams-Wynn AW, DiSantis KI, Kumanyika S. Family-focused physical activity, diet and obesity interventions in African-American girls: a systematic review. Obes Rev. 2013;14(1):29–51.

    Article  CAS  PubMed  Google Scholar 

  81. Barr-Anderson DJ, Singleton C, Cotwright CJ, Floyd MF, Affuso O. Outside-of-school time obesity prevention and treatment interventions in African American youth. Obes Rev. 2014;15(Suppl 4):26–45.

    Article  PubMed  Google Scholar 

  82. Robinson LE, Webster EK, Whitt-Glover MC, Ceaser TG, Alhassan S. Effectiveness of pre-school- and school-based interventions to impact weight-related behaviours in African American children and youth: a literature review. Obes Rev. 2014;15(Suppl 4):5–25.

    Article  PubMed  Google Scholar 

  83. Knowlden AP, Sharma M. Systematic review of school-based obesity interventions targeting African American and Hispanic children. J Health Care Poor Underserved. 2013;24(3):1194–214.

    Article  PubMed  Google Scholar 

  84. Kumanyika SK, Swank M, Stachecki J, Whitt-Glover MC, Brennan LK. Examining the evidence for policy and environmental strategies to prevent childhood obesity in black communities: new directions and next steps. Obes Rev. 2014;15(Suppl 4):177–203.

    Article  PubMed  Google Scholar 

  85. Holub CK, Lobelo F, Mehta SM, Sanchez Romero LM, Arredondo EM, Elder JP. School-wide programs aimed at obesity among Latino youth in the United States: a review of the evidence. J Sch Health. 2014;84(4):239–46.

    Article  PubMed  Google Scholar 

  86. Laws R, Campbell KJ, van der Pligt P, Russell G, Ball K, Lynch J, et al. The impact of interventions to prevent obesity or improve obesity related behaviours in children (0-5 years) from socioeconomically disadvantaged and/or indigenous families: a systematic review. BMC Public Health. 2014;14:779.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Effectiveness of home based early intervention on children's BMI at age 2: randomised controlled trial. BMJ. 2012;344:e3732.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Wen LM, Baur LA, Simpson JM, Xu H, Hayes AJ, Hardy LL, et al. Sustainability of effects of an early childhood obesity prevention trial over time: a further 3-year follow-up of the healthy beginnings trial. JAMA Pediatr. 2015;169(6):543–51.

    Article  PubMed  Google Scholar 

  89. Kumanyika S. Getting to equity in obesity prevention: a new framework. Washington, DC: National Academy of Medicine. 2017. https://nam.edu/wpcontent/uploads/2017/01/Getting-to-Equity-in-Obesity-Prevention-A-New-Framework.pdf.

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Acknowledgments

The author acknowledges and appreciates the contributions of Dr. Elizabeth Prout Parks and Dr. Joanna Holsten Phoenix to the original version of this chapter.

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Kumanyika, S. (2018). The Sociocultural Context for Obesity Prevention and Treatment in Children and Adolescents: Influences of Ethnicity and Gender. In: Freemark, M. (eds) Pediatric Obesity. Contemporary Endocrinology. Humana Press, Cham. https://doi.org/10.1007/978-3-319-68192-4_40

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