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Perceived Discrimination, Screen Use, and BMI Among Rural-to-Urban Migrant Children in China: Evidence from a Nutrition Transition Context

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Abstract

Discrimination promotes sedentary behavior and obesity among Western adults. The obesogenic impact of discrimination has yet been examined in developing countries. Participants were 1755 seventh grade rural-to-urban migrant students in the first three waves (2013–2016) of China Education Panel Survey—Junior High Cohort. Latent growth curve models evaluated associations of perceived origin-based discrimination with intercepts and slopes for BMI and screen use trajectories over a 3-year period. Most migrant students came from families of low socioeconomic status. Around 20% of the migrant students reported origin-based discrimination at school. After adjusting for covariates, origin-based discrimination was positively associated with intercepts of TV watching (b = 0.18, p < .001) and internet use (b = 0.24, p < .001), but was not associated with either the intercept or slope of BMI. Perceived discrimination increases screen use for Chinese migrant children, though its contribution to BMI growth is unclear. As the nutrition transition penetrates deeper into lives of all social strata, future studies need to monitor whether perceived discrimination may emerge as an important source of social disparity in obesity in China.

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References

  1. Popkin BM. Synthesis and implications: China’s nutrition transition in the context of changes across other low- and middle-income countries. Obes Rev. 2014;15(Suppl 1):60–7.

    Article  PubMed  Google Scholar 

  2. Song Y, Ma J, Wang HJ, Wang Z, Hu P, Zhang B, et al. Secular trends of obesity prevalence in Chinese children from 1985 to 2010: Urban-rural disparity. Obes (Silver Spring Md). 2015;23(2):448–53.

    Article  Google Scholar 

  3. He W, James SA, Merli MG, Zheng H. An increasing socioeconomic gap in childhood overweight and obesity in China. Am J Public Health. 2014;104(1):E14–22.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Dearth-Wesley T, Wang H, Popkin BM. Under- and overnutrition dynamics in Chinese children and adults (1991-2004). Eur J Clin Nutr. 2008;62(11):1302–7.

    Article  CAS  PubMed  Google Scholar 

  5. China National Bureau of Statistics. 2014 National surveillance report on rural-to-urban migrant workers Beijing: China National Bureau of Statistics. 2015. http://www.stats.gov.cn/tjsj/zxfb/201504/t20150429_797821.html. Accessed 2 March 2017.

  6. Jin L, Wen M, Fan JX, Wang G. Trans-local ties, local ties and psychological well-being among rural-to-urban migrants in Shanghai. Soc Sci Med. 2012;75(2):288–96.

    Article  PubMed  Google Scholar 

  7. Li X, Stanton B, Fang X, Lin D. Social stigma and mental health among rural-to-urban migrants in China: a conceptual framework and future research needs. World Health Popul. 2006;8(3):14–31.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Liu X, Zhao J. Chinese migrant adolescents’ perceived discrimination and psychological well-being: the moderating roles of group identity and the type of school. PLoS ONE. 2016;11(1):e0146559.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Stepanikova I, Baker EH, Simoni ZR, Zhu AW, Rutland SB, Sims M, et al. The role of perceived discrimination in obesity among African Americans. Am J Prev Med. 2017;52(1):77–85.

    Article  Google Scholar 

  10. Hunte HER. Association between perceived interpersonal everyday discrimination and waist circumference over a 9-year period in the midlife development in the United States Cohort Study. Am J Epidemiol. 2011;173(11):1232–9.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kwarteng JL, Schulz AJ, Mentz GB, Israel BA, Shanks TR, Perkins DW. Neighbourhood poverty, perceived discrimination and central adiposity in the USA: independent associations in a repeated measures analysis. J Biosoc Sci. 2016;48(6):709–22.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Nadimpalli SB, Hutchinson MK. An integrative review of relationships between discrimination and Asian American health. J Nurs Scholarsh. 2012;44(2):127–35.

    Article  PubMed  Google Scholar 

  13. Hansen KL. Ethnic discrimination and health: the relationship between experienced ethnic discrimination and multiple health domains in Norway’s rural Sami population. Int J Circumpolar Health. 2015. https://doi.org/10.3402/ijch.v74.25125.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Womack VY, Ning H, Lewis CE, Loucks EB, Puterman E, Reis J, et al. Relationship between perceived discrimination and sedentary behavior in adults. Am J Health Behav. 2014;38(5):641–9.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Lewis TT, Cogburn CD, Williams DR. Self-reported experiences of discrimination and health: scientific advances, ongoing controversies, and emerging issues. Annu Rev Clin Psychol. 2015;11(1):407–40.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Wang W, Zhang X. User manual for CEPS baseline wave data: Nation Survey Research Center, Renmin University of China. 2015. http://ceps.ruc.edu.cn/.Beijing. Accessed 29 March 2017.

  17. Berkey CS, Colditz GA. Adiposity in adolescents: change in actual BMI works better than change in BMI z score for longitudinal studies. Ann Epidemiol. 2007;17(1):44–50.

    Article  PubMed  Google Scholar 

  18. Cole TJ, Faith MS, Pietrobelli A, Heo M. What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score or BMI centile? Eur J Clin Nutr. 2005;59(3):419–25.

    Article  CAS  PubMed  Google Scholar 

  19. Muthén LK, Muthén BO. Mplus user’s guide. 7th ed. Los Angeles: Muthén & Muthén; 1998–2012.

  20. Wallis C. Technomobility in China: young migrant women and mobile phones. New York: New York University Press; 2013.

    Book  Google Scholar 

  21. Ming HH. The education of migrant children and China’s future: the urban left behind. New York: Routledge; 2013.

    Book  Google Scholar 

  22. China National Bureau of Statistics. 2016 National surveillance report on rural-to-urban migrant workers Beijing: China National Bureau of Statistics. 2017. http://www.stats.gov.cn/tjsj/zxfb/201704/t20170428_1489334.html. Accessed 26 Jan 2017.

  23. Lu S, Lin Y-T, Vikse JH, Huang C-C. Well-being of migrant and left-behind children in China: education, health, parenting, and personal values. Int J Soc Welf. 2016;25(1):58–68.

    Article  CAS  Google Scholar 

  24. Yang Y, Zhang L, Zeng J, Pang X, Lai F, Rozelle S. Computers and the academic performance of elementary school-aged girls in China’s poor communities. Comput Educ. 2013;60(1):335–46.

    Article  Google Scholar 

  25. Yang W-y, Hu W-p. 移动学习在中学科学课程学习中的应用探究 (Research on the application of mobile learning in middle school education). 现代远距离教育 (Mod Distance Educ). 2015;160(4):57–63.

  26. Lenhart A, Duggan M, Perrin A, Stepler R, Rainie L, Parker K. Teens. Social media & technology overview 2015: smartphones facilitate shifts in communication landscape for teens. Pew Research Center. 2015. http://www.pewinternet.org/files/2015/04/PI_TeensandTech_Update2015_0409151.pdf. Accessed 24 March 2017.

  27. Li Q, Tang Z. 城市农民工与城市中的非正规就业 (Urban migrant workers and informal employment in cities). 社会学研究 (Sociological Stud). 2002;17(6):13–25.

    Google Scholar 

  28. Ye X, Xiao Q, Yi H. 中国学龄儿童饮食习惯、营养摄入及与BMI相关研究 (Dietary habits and nutrition intake of school-age children in china and their correlations with BMI). 成都体育学院学报 (J Chengdu Sport Univ). 2016;42(2):116–121.

  29. Gong P, Liang S, Carlton EJ, Jiang Q, Wu J, Wang L, et al. Urbanisation and health in China. Lancet. 2012;379(9818):843–52.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Chan F, Adamo S, Coxson P, Goldman L, Gu D, Zhao D, et al. Projected impact of urbanization on cardiovascular disease in china. Int J Public Health. 2012;57(5):849–54.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Pampel FC, Denney JT, Krueger PM. Obesity, SES, and economic development: a test of the reversal hypothesis. Soc Sci Med. (1982). 2012;74(7):1073–81.

    Article  Google Scholar 

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Funding

This work was supported by research grant from the Research Foundation of Renmin University of China.

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Correspondence to Weidong Wang.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the IRB at Renmin University of China and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

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Li, M., Mustillo, S. & Wang, W. Perceived Discrimination, Screen Use, and BMI Among Rural-to-Urban Migrant Children in China: Evidence from a Nutrition Transition Context. J Immigrant Minority Health 21, 723–730 (2019). https://doi.org/10.1007/s10903-018-0822-6

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