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BMC Public Health
Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Research article

Impact of social disadvantages in the presence of diabetes at old age

Authors: María Fernanda Carrillo-Vega, Cidronio Albavera-Hernández, Ricardo Ramírez-Aldana, Carmen García-Peña

Published in: BMC Public Health | Issue 1/2019

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Abstract

Background

Social disadvantages that start during childhood and continue into the later stages in life may be linked to the presence of diabetes during adulthood. Objective. To analyze whether the presence of social disadvantages in childhood and in the present affects the presence of diabetes in older adults.

Methods

The present study was based on longitudinal data from the third and fourth Mexican Health and Aging Study (MHAS) waves (2012 and 2015). Data on diabetes diagnosis, past (e.g. “no shoes during childhood”) and present (e.g. self-perception of economic status) social disparities, and other covariables were analyzed.

Results

From 8,848 older adults, 21.5% (n = 1903) were classified as prevalent cases (PG), 5.2% (n = 459) as incident cases (IG) and 77.4% (n = 6,486) were free of disease (NDG). The predictor variable “no shoes during childhood” was statistically significant in the model incident versus no diabetes group. Hypertension and body mass index (BMI) were the most relevant covariates as they were statistically significant in the three groups (PG, IG and NDG).

Conclusions

Not having shoes during childhood, an indicator of social disadvantages, is associated with the incidence and prevalence of diabetes in older adults. This suggests that social disadvantages can be a determinant for the presence of chronic diseases in adulthood.
Literature
1.
World Bank. Poverty and shared prosperity 2016: taking on inequality. Washington, DC: World Bank; 2016.CrossRef
2.
Comisión Económica para América Latina y el Caribe (CEPAL). Panorama Social de América Latina, 2017. Santiago: Naciones Unidas; 2018. (LC/PUB.2018/1-P)
3.
4.
5.
Paz J, Guzmán JM, Martínez J, Rodríguez J. América Latina y el Caribe: dinámica demográfica y políticas para aliviar la pobreza. Santiago: Naciones Unidas; 2004.
6.
7.
CONEVAL. Medición de la pobreza en México y en las Entidades Federativas 2016. Mexico: CONEVAL; 2017.
8.
Ben-Shlomo Y, Cooper R, Kuh D. The last two decades of life course epidemiology, and its relevance for research on ageing. Int J Epidemiol. 2016;45(4):973–88.CrossRef
9.
Galobardes B, Lynch JW, Smith GD. Childhood socioeconomic circumstances and cause-specific mortality in adulthood: systematic review and interpretation. Epidemiol Rev. 2004;26:7–21.CrossRef
10.
Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C. Life course epidemiology. J Epidemiol Community Health. 2003;57(10):778–83.CrossRef
11.
Gluckman PD, Hanson MA, Cooper C, Thornburg KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008;359(1):61–73.CrossRef
12.
Seligman HK, Laraia BA, Kushel MB. Food insecurity is associated with chronic disease among low-income NHANES participants. J Nutr. 2010;140(2):304–10.CrossRef
13.
Poulton R, Caspi A, Milne BJ, Thomson WM, Taylor A, Sears MR, et al. Association between children’s experience of socioeconomic disadvantage and adult health: a life-course study. Lancet. 2002;360(9346):1640–5.CrossRef
14.
Heckman JJ. The economics, technology, and neuroscience of human capability formation. Proc Natl Acad Sci U S A. 2007;104(33):13250–5.CrossRef
15.
Okasha M, McCarron P, McEwen J, Durnin J, Davey SG. Childhood social class and adulthood obesity: findings from the Glasgow alumni cohort. J Epidemiol Community Health. 2003;57(7):508–9.CrossRef
16.
Bernard DM, Banthin JS, Encinosa WE. Health care expenditure burdens among adults with diabetes in 2001. Med Care. 2006;44(3):210–5.CrossRef
17.
Case A, Fertig A, Paxson C. The lasting impact of childhood health and circumstance. J Health Econ. 2005;24(2):365–89.CrossRef
18.
Raphael D. Poverty in childhood and adverse health outcomes in adulthood. Maturitas. 2011;69(1):22–6.CrossRef
19.
Urbszat D, Herman CP, Polivy J. Eat, drink, and be merry, for tomorrow we diet: effects of anticipated deprivation on food intake in restrained and unrestrained eaters. J Abnorm Psychol. 2002;111(2):396–401.CrossRef
20.
Wong R, Michaels-Obregon A, Palloni A. Cohort profile: the Mexican health and aging study (MHAS). Int J Epidemiol. 2017;46(2):e2.CrossRef
21.
Mexican Health and Aging Study (MHAS). Data files and documentation (public use): Mexican health and aging study. 2015. Available from: www.​MHASweb.​org. Cited 3 Jul 2018
22.
Aguilar-Navarro SG, Fuentes-Cantú A, Ávila-Funes JA, García-Mayo EJ. Validez y confiabilidad del cuestionario del ENASEM para la depresión en adultos mayores. Salud Publica Mex. 2007;49(4):256–62.CrossRef
23.
Rotter JB. Generalized expectancies for internal versus external control of reinforcement. Psychol Monogr Gen Appl. 1966;80(1):1–28.CrossRef
24.
Silva Rodrigues RA, Martinez Espinosa M, Duarte Melo C, Rodrigues Perracini M, Rezende Fett WCFC. New values anthropometry for classification of nutritional status in the elderly. J Nutr Health Aging. 2014;18(7):655–61.CrossRef
25.
Lipschitz DA. Screening for nutritional status in the elderly. Prim Care. 1994;21(1):55–67.PubMed
26.
Haseen F, Adhikari R, Soonthorndhada K. Self-assessed health among Thai elderly. BMC Geriatr. 2010;10(1):30.CrossRef
27.
Girón P. Is age associated with self-rated health among older people in Spain? Cent Eur J Public Health. 2012;20(3):185–90.CrossRef
28.
Katz S, Ford AB, Moskowitz RW. Studies of illness in the age: the index of ADL a standarized measure of biological and psycosocial function. JAMA. 1963;185:914–9.CrossRef
29.
StataCorp. Stata statistical software: release 14. College Station: StataCorp LLC; 2015.
30.
Huang C, Soldo BJ, Elo IT. Do early-life conditions predict functional health status in adulthood? The case of Mexico. Soc Sci Med. 2011;72(1):100–7.CrossRef
31.
Cohen S, Janicki-Deverts D, Chen E, Matthews KA. Childhood socioeconomic status and adult health. Ann N Y Acad Sci. 2010;1186(1):37–55.CrossRef
32.
Lipowicz A, Kozieł S, Hulanicka BKA. Socioeconomic status during childhood and health status in adulthood: the wrocław growth study. J Biosoc Sci. 2007;39(04):481.CrossRef
33.
Lehman BJ, Taylor SE, Kiefe CI, Seeman TE. Relation of childhood socioeconomic status and family environment to adult metabolic functioning in the CARDIA study. Psychosom Med. 2005;67(6):846–54.CrossRef
34.
Adamson P. Medición de la pobreza infantil: nuevas tablas clasificatorias de la pobreza infantil en los países ricos del mundo; 2012.
35.
de Neubourg C, Bradshaw J, Chzhen Y, Main G, Martorano B, Menchini L. Child deprivation, multidimensional poverty and monetary poverty in Europe. Florencia: UNICEF; 2012.
36.
37.
Grupo de Expertos en Estadísticas de Pobreza. Compendio de mejores prácticas en la medición de la pobreza. Santiago: Naciones Unidas; 2007.
38.
Kohler IV, Soldo BJ. Childhood predictors of late-life diabetes: the case of Mexico. Soc Biol. 2005;52(3–4):112–31.PubMed
39.
Best LE, Hayward MD, Hidajat MM. Life course pathways to adult-onset diabetes. Soc Biol. 2005;52(3–4):94–111.PubMed
40.
Phelan JC, Link BG, Tehranifar P. Social conditions as fundamental causes of health inequalities: theory, evidence, and policy implications. J Health Soc Behav. 2010;51 Suppl(1_suppl):S28–40.CrossRef
41.
Darmon N, Drewnowski A. Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis. Nutr Rev. 2015;73(10):643–60.CrossRef
42.
Drewnowski A. Obesity and the food environment. Am J Prev Med. 2004;27(3):154–62.CrossRef
43.
Liese AD, Weis KE, Pluto D, Smith E, Lawson A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007;107(11):1916–23.CrossRef
44.
Ball K, Timperio A, Crawford D. Neighbourhood socioeconomic inequalities in food access and affordability. Health Place. 2009;15(2):578–85.CrossRef
45.
Jetter KM, Cassady DL. The availability and cost of healthier food alternatives. Am J Prev Med. 2006;30(1):38–44.CrossRef
46.
Barosh L, Friel S, Engelhardt K, Chan L. The cost of a healthy and sustainable diet - who can afford it? Aust N Z J Public Health. 2014;38(1):7–12.CrossRef
47.
Moore CJ, Cunningham SA. Social position, psychological stress, and obesity: a systematic review. J Acad Nutr Diet. 2012;112(4):518–26.CrossRef
48.
Powell LM, Slater S, Chaloupka FJ, Harper D. Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study. Am J Public Health. 2006;96(9):1676–80.CrossRef
49.
Pascual C, Regidor E, Álvarez-del Arco D, Alejos B, Santos JM, Calle ME, et al. Sports facilities in Madrid explain the relationship between neighbourhood economic context and physical inactivity in older people, but not in younger adults: a case study. J Epidemiol Community Health. 2013;67(9):788–94.CrossRef
50.
Moore LV, Diez Roux AV, Evenson KR, McGinn AP, Brines SJ. Availability of recreational resources in minority and low socioeconomic status areas. Am J Prev Med. 2008;34(1):16–22.CrossRef
51.
Gordon-Larsen P. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006;117(2):417–24.CrossRef
52.
Bellou V, Belbasis L, Tzoulaki I, Evangelou E. Risk factors for type 2 diabetes mellitus: an exposure-wide umbrella review of meta-analyses. PLoS One. 2018;13(3):e0194127.CrossRef
53.
Lima-Tavares E, Martins dos Santos D, Alves-Ferreira A, Garcia de Menezes MF. Nutritional assessment for the elderly: modern challenges. Rev Bras Geriatr e Gerontol. 2015;18(3):643–50.CrossRef
54.
World Health Organization. Obesity: preventing and managing the global epidemic: report of a WHO consultation on obesity. Geneva: World Health Organization; 2000. p. 253.
55.
Frieden TR. A framework for public health action: the health impact pyramid. Am J Public Health. 2010;100(4):590–5.CrossRef
56.
Sims OT, Oh H, Noh H, Melton PA, Sheffield S, Ingram K, et al. Prevalence and predictors of co-occurring diabetes and hypertension in community-dwelling older adults. Geriatr Gerontol Int. 2018;18(9):1356–60.CrossRef
57.
Francisco PMSB, Segri NJ, Borim FSA, Malta DC. Prevalence of concomitant hypertension and diabetes in Brazilian older adults: individual and contextual inequalities. Cien Saude Colet. 2018;23(11):3829–40.CrossRef
58.
Weissman JS, Stern R, Fielding SL, Epstein AM. Delayed access to health care: risk factors, reasons, and consequences. Ann Intern Med. 1991;114(4):325–31.CrossRef
59.
Smith JP. Reconstructing childhood health histories. Demography. 2009;46(2):387–403.CrossRef
60.
Schneider ALC, Pankow JS, Heiss G, Selvin E. Validity and reliability of self-reported diabetes in the atherosclerosis risk in communities study. Am J Epidemiol. 2012;176(8):738–43.CrossRef
Metadata
Title
Impact of social disadvantages in the presence of diabetes at old age
Authors
María Fernanda Carrillo-Vega
Cidronio Albavera-Hernández
Ricardo Ramírez-Aldana
Carmen García-Peña
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-7348-2

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