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2020, Number 2

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salud publica mex 2020; 62 (2)

Linking socioeconomic inequalities and type 2 diabetes through obesity and lifestyle factors among Mexican adults: a structural equations modeling approach

Denova-Gutiérrez E, Vargas-Chanes D, Hernández S, Muñoz-Aguirre P, Napier D, Barquera S
Full text How to cite this article

Language: English
References: 36
Page: 192-202
PDF size: 297.14 Kb.


Key words:

type 2 diabetes, socioeconomic inequalities, survey, Mexico.

ABSTRACT

Objective. To assess the association between type 2 diabetes (DM2) and socioeconomic inequalities, mediated by the contribution of body mass index (BMI), physical activity (PA), and diet (diet-DII). Materials and methods. We conducted a cross-sectional analysis using data of adults participating in the Diabetes Mellitus Survey of Mexico City. Socioeconomic and demographic characteristics as well as height and weight, dietary intake, leisure time activity and the presence of DM2 were measured. We fitted a structural equation model (SEM) with DM2 as the main outcome, and BMI, diet-DII and PA served as mediator variables between socioeconomic inequalities index (SII) and DM2. Results. The prevalence of DM2 was 13.6%. From the fitted SEM, each standard deviation increases in the SII was associated with increased scores of DM2 (β=0.174, P‹0.001). Conclusion. The results in the present study show how high scores in the index of SII may influence the presence of DM2.


REFERENCES

  1. Zimmet PZ, Magliano DJ, Herman WH, Shaw JE. Diabetes: A 21st century challenge. Lancet Diabetes Endocrinol. 2014;2(1):56-64. https://doi. org/10.1016/S2213-8587(13)70112-8

  2. World Health Organization. Global report on diabetes. Geneva: WHO, 2016 [cited June 4, 2019]. Available from: www.WHO.int/diabetes/globalreport

  3. International Diabetes Federation. IDF Diabetes Atlas. 8th ed. Brussels, Belgium: IDF, 2017 [cited June 4, 2019]. Available from: www.diabetesatlas. org

  4. Zimmet P, Alberti KG, Magliano DJ, Bennett PH. Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. Nat Rev Endocrinol. 2016;12(10):616-22. https://doi.org/10.1038/nrendo.2016.105

  5. GBD 2013 Risk Factors Collaborators, Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659-724. https://doi.org/10.1016/S0140-6736(15)00128-2

  6. Gómez-Dantés H, Fullman N, Lamadrid-Figueroa H, Cahuana-Hurtado L, Darney B, Ávila-Burgos L, et al. Dissonant health transition in the states of Mexico, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2016;388(10058):2386-402. https://doi. org/10.1016/S0140-6736(16)31773-1

  7. Hills AP, Arena R, Khunti K, Yajnik CS, Jayawardena R, Henry CJ, et al. Epidemiology and determinants of type 2 diabetes in south Asia. Lancet Diabetes Endocrinol. 2018;6(12):966-78. https://doi.org/10.1016/S2213- 8587(18)30204-3

  8. Hwang J, Shon C. Relationship between socioeconomic status and type 2 diabetes: results from Korean National Health and Nutrition Examination Survey (KNHANES) 2010-2012. BMJ Open. 2014;4(8):e005710. https://doi.org/10.1136/bmjopen-2014-005710

  9. Robbins JM, Vaccarino V, Zhang H, Kasl SV. Socioeconomic status and type 2 diabetes in African American and Non-Hispanic white women and men: Evidence from the third National Health and Nutrition Examination Survey. Am J Public Health. 2001;91(1):76-83. https://doi.org/10.2105/ ajph.91.1.76

  10. Stringhini S, Tabak AG, Akbaraly TN, Sabia S, Shipley MJ, Marmot MG, et al. Contribution of modifiable risk factors to social inequalities in type 2 diabetes in the Whitehall II cohort study. BMJ. 2012;345:e5452. https://doi. org/10.1136/bmj.e5452

  11. Dowler E. Inequalities in diet and physical activity in Europe. Public Health Nutr. 2001;4(2b):701-9. https://doi.org/10.1079/phn2001160

  12. Whitehead M. The concepts and principles of equity and health. Int J Health Serv. 1992;22(3):429-45. https://doi.org/10.2190/986L-LHQ6- 2VTE-YRRN

  13. Wang Y, Beydoun MA. The obesity epidemic in the United States- gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiol Rev. 2007;29:6- 28. https://doi.org/10.1093/epirev/mxm007

  14. Denova-Gutiérrez E, Muñoz-Aguirre P, Shivappa N, Hébert JR, Tolentino-Mayo L, Batis C, et al. Dietary inflammatory index and type 2 Diabetes Mellitus in adults: The Diabetes Mellitus Survey of Mexico City. Nutrients. 2018;10(4)pii:E385. https://doi.org/10.3390/nu10040385

  15. Denova-Gutiérrez E, Ramírez-Silva I, Rodríguez-Ramírez S, JiménezAguilar A, Shamah-Levy T, Rivera-Dommarco JA. Validity of a food frequency questionnaire to assess food intake in Mexican adolescent and adult population. Salud Publica Mex. 2016;58(6):617-28. https://doi. org/10.21149/spm.v58i6.7862

  16. Shivappa N, Steck SE, Hurley TG, Hussey JR, Hébert JR. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr. 2014;17(8):1689-96. https://doi.org/10.1017/ S1368980013002115

  17. Hernández-Ávila JE, González-Avilés L, Rosales-Mendoza E. Manual de Usuario. SNUT Sistema de Evaluación de Hábitos Nutricionales y Consumo de Nutrimentos. Cuernavaca, México: Instituto Nacional de Salud Pública, 2003.

  18. Twetz N. Textbook of Clinical Chemistry. Philadelphia, PA, USA: WB Saunders, 1999.

  19. American Diabetes Association. Standards of medical care in diabetes-2014. Diabetes Care. 2014;37(suppl 1):S14-80. https://doi.org/10.2337/ dc14-S014

  20. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome: A new worldwide definition. Lancet. 2005;366(9491):1059-62. https://doi.org/10.1016/ S0140-6736(05)67402-8

  21. Martinez SM, Ainsworth BE, Elder JP. A review of physical activity measures used among US Latinos: Guidelines for developing culturally appropriate measures. Ann Behav Med. 2008;36(2):195-207. https://doi. org/10.1007/s12160-008-9063-6

  22. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 1999;6(1):1-55. https://doi.org/10.1080/10705519909540118

  23. Denova-Gutiérrez E, Vargas-Chanes D, Hernández S, Muñoz-Aguirre P, Napier D, Barquera S. Supplementary Table 1. Multivariate logistic regression analysis for socioeconomic inequity index, socioeconomic status, income, and education and type 2 diabetes in adults participating in the Diabetes Mellitus Survey of Mexico. Dryad, Dataset. https://doi.org/10.5061/dryad.31zcrjdgk

  24. Espelt A, Borrell C, Roskam AJ, Rodríguez-Sanz M, Stirbu I, Dalmau-Bueno A, et al. Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century. Diabetologia. 2008;51(11):1971-9. https://doi.org/10.1007/s00125-008-1146-1

  25. Espelt A, Arriola L, Borrell C, Larrañaga I, Sandín M, Escolar-Pujolar A. Socioeconomic position and type 2 diabetesmellitus in Europe 1999– 2009: a panorama of inequalities. Curr Diabetes Rev. 2011;7(3):148-58.

  26. Agardh E, Allebeck P, Hallqvist J, Moradi T, Sidorchuk A. Type 2 diabetes incidence and socio-economic position: a systematic review and metaanalysis. Int J Epidemiol. 2011;40(3):804-18. https://doi.org/10.1093/ije/ dyr029

  27. Bird Y, Lemstra M, Rogers M, Moraros J. The relationship between socioeconomic status/income and prevalence of diabetes and associated conditions: A cross-sectional population-based study in Saskatchewan, Canada. Int J Equity Health. 2015;14:93. https://doi.org/10.1186/s12939- 015-0237-0

  28. MacIntyre S. The black report and beyond: what are the issues? Soc Sci Med. 1997;44(6):723-45. https://doi.org/10.1016/s0277-9536(96)00183-9

  29. Demakakos P, Marmot M, Steptoe A. Socioeconomic position and the incidence of type 2 diabetes: the ELSA study. Eur J Epidemiol. 2012;27(5):367-78. https://doi.org/10.1007/s10654-012-9688-4

  30. Espelt A, Kunst AE, Palència L, Gnavi R, Borrell C. Twenty years of socio-economic inequalities in type 2 diabetes mellitus prevalence in Spain, 1987-2006. Eur J Public Health. 2012;22(6):765-71. https://doi. org/10.1093/eurpub/ckr158

  31. Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev. 2012;13(11):1067-79. https://doi.org/10.1111/j.1467-789X.2012.01017.x

  32. Boden G. Effects of free fatty acids (FFA) on glucose metabolism: significance for insulin resistance and type 2 diabetes. Exp Clin Endocrinol Diabetes. 2003;111(3):121-4. https://doi.org/10.1055/s-2003-39781

  33. Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001;286(3):327-34. https://doi.org/10.1001/jama.286.3.327

  34. Grant J, Mackay K, Manuel P, McHugh TL. Barriers to optimizing investments in the built environment to reduce youth obesity: Policymaker perspective. Can J Public Health. 2010;101(3):237-40. https://doi. org/10.1007/BF03404381

  35. Caraher M, Dixon P, Lang T, Carr-Hill R. Access to healthy foods: part 1. Barriers to accessing healthy foods: differentials by gender, social class, income, and mode of transport. Health Educ J. 1998;57(3):191-201. https:// doi.org/10.1177/001789699805700302

  36. Donking AJ, Dowler EA, Stevenson SJ, Turner SA. Mapping access to food in a deprived area: the development of price and availability indices. Public Health Nutr. 2000;3(1):31-8. https://doi.org/10.1017/ s1368980000000057




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