Sociodemographic determinants of multimorbidity in Brazilian adults and older adults
a cross-sectional study
Keywords:
Chronic disease, Diagnosis-related groups, Socioeconomic factors, Cross-sectional studies, Risk factors, Health surveysAbstract
BACKGROUND: Multimorbidity due to non-communicable chronic diseases (NCDs) constitutes a significant challenge for healthcare systems. To attenuate its impacts, it is essential to identify the sociodemographic determinants of this condition, which can discriminate against population segments that are more exposed. OBJECTIVE: To identify associations between multimorbidity conditions and sociodemographic indicators among Brazilian adults and older adults. DESIGN AND SETTING: Cross-sectional telephone-based survey in 26 Brazilian state capitals and the federal district. METHODS: The Vigitel 2013 survey was used, with data collected via a questionnaire. The outcome was multimorbidity (2, 3 or 4 NCDs), and the exposures were sociodemographic indicators (age, sex, skin color, marital status and education). The analysis consisted of multinomial logistic regression (odds ratio), stratified by age. RESULTS: Among adults, multimorbidity comprising two, three or four diseases was associated with advancing age (P < 0.001); two and three diseases, with having a partner (P = 0.004 and P < 0.001, respectively); and two, three or four diseases, with lower education (P < 0.001). Among older adults, two, three or four diseases were associated with female sex (P < 0.001); three diseases, with living with a partner (P = 0.018); two diseases, with black skin color (P = 0.016); and two or three diseases, with lower education (P < 0.001). CONCLUSIONS: To control and prevent multimorbidity, strategies for individuals with existing chronic diseases, with partners and with lower education levels are needed. Particularly for adults, advancing age should be considered; and for older adults, being a woman and having black skin color.
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Barnett K, Mercer SW, Norbury M, et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37-43. PMID: 22579043; https://doi.org/10.1016/S0140-6736(12)60240-2.
Pefoyo AJ, Bronskill SE, Gruneir A, et al. The increasing burden and complexity of multimorbidity. BMC Public Health. 2015;15:415. PMID: 25903064; https://doi.org/10.1186/s12889-015-1733-2.
Violan C, Foguet-Boreu Q, Flores-Mateo G, et al. Prevalence, determinants and patterns of multimorbidity in primary care: a systematic review of observational studies. PLoS One. 2014;9(7):e102149. PMID: 25048354; https://doi.org/10.1371/journal.pone.0102149.
Wang HH, Wang JJ, Wong SY, et al. Epidemiology of multimorbidity in China and implications for the healthcare system: cross-sectional survey among 162,464 community household residents in southern China. BMC Med. 2014;12:188. PMID: 25338506; https://doi.org/10.1186/s12916-014-0188-0.
Lee JT, Hamid F, Pati S, Atun R, Millett C. Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis. PLoS One. 2015;10(7):e0127199. PMID: 26154083; https://doi.org/10.1371/journal.pone.0127199.
Carvalho JN, Roncalli ÂG, Cancela MC, Souza DL. Prevalence of multimorbidity in the Brazilian adult population according to socioeconomic and demographic characteristics. PLoS One. 2017;12(4):e0174322. PMID: 28384178; https://doi.org/10.1371/journal. pone.0174322.
Turi BC, Codogno JS, Fernandes RA, Monteiro HL. Low levels of physical activity and metabolic syndrome: cross-sectional study in the Brazilian public health system. Cien Saude Colet. 2016;21(4):1043-50. PMID: 27076003; https://doi.org/10.1590/1413-81232015214.23042015.
Pessini J, Barbosa AR, Trindade EBSdM. Chronic diseases, multimorbidity, and handgrip strength among older adults from Southern Brazil. Rev Nutr. 2016;29(1):43-52. https://doi.org/10.1590/1678-98652016000100005.
Dalacorte RR, Reichert CL, Vieira JL. Metabolic syndrome and physical activity in southern Brazilian community-dwelling elders: a population-based, cross-sectional study. BMC Public Health. 2009;9:25. PMID 19154617; https://doi.org/10.1186/1471-2458-9-25.
Xu X, Mishra GD, Jones M. Evidence on multimorbidity from definition to intervention: an overview of systematic reviews. Ageing Res Rev. 2017;37:53-68. PMID: 28511964; https://doi.org/10.1016/j.arr.2017.05.003.
Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise de Situação de Saúde. Plano de ações estratégicas para o enfrentamento das doenças crônicas não transmissíveis (DCNT) no Brasil 2011-2022/Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise de Situação de Saúde. Brasília: Ministério da Saúde; 2011. Available from: https://portaldeboaspraticas.iff.fiocruz.br/biblioteca/plano-de-acoes-estrategicas-para-o-enfrentamento-das-doencas-cronicas/. Accessed in 2021 (Jun 3).
Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção de Saúde. VIGITEL Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico/Ministério da Saúde, Secretaria de Vigilância em Saúde, Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção de Saúde. Brasília: Ministério da Saúde; 2013. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2012_vigilancia_risco.pdf. Accessed in 2021 (Jun 3).
Valderas JM, Starfield B, Sibbald B, Salisbury C, Roland M. Defining comorbidity: implications for understanding health and health services. Ann Fam Med. 2009;7(4):357-63. PMID: 19597174; https://doi.org/10.1370/afm.983.
Marengoni A, Angleman S, Melis R, et al. Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev. 2011;10(4):430-9. PMID: 21402176; https://doi.org/10.1016/j.arr.2011.03.003.
van den Akker M, Buntinx F, Metsemakers JF, Roos S, Knottnerus JA. Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases. J ClinEpidemiol. 1998;51(5):367-75. PMID: 9619963; https://doi.org/10.1016/s0895-4356(97)00306-5.
de Souza Santos Machado V, Valadares AL, da Costa-Paiva LS, Moraes SS, Pinto-Neto AM. Multimorbidity and associated factors in Brazilian women aged 40 to 65 years: a population-based study. Menopause. 2012;19(5):569-75. PMID: 22415564; https://doi.org/10.1097/gme.0b013e3182455963.
Wang Y, Hunt K, Nazareth I, Freemantle N, Petersen I. Do men consult less than women? An analysis of routinely collected UK general practice data. BMJ Open. 2013;3(8):e003320. PMID: 23959757; https://doi.org/10.1136/bmjopen-2013-003320.
Stepanova M, Rodriguez E, Birerdinc A, Baranova A. Age-independent rise of inflammatory scores may contribute to accelerated aging in multi-morbidity. Oncotarget. 2015;6(3):1414-21. PMID: 25638154; https://doi. org/10.18632/oncotarget.2725.
Britt HC, Harrison CM, Miller GC, Knox SA. Prevalence and patterns of multimorbidity in Australia. Med J Aust. 2008;189(2):72-7. PMID: 18637770; https://doi.org/10.5694/j.1326-5377.2008.tb01919.x.
Arokiasamy P, Uttamacharya U, Jain K, et al. The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal? BMC Med. 2015;13:178. PMID: 26239481; https://doi.org/10.1186/s12916-015-0402-8.
Diehr PH, Thielke SM, Newman AB, Hirsch C, Tracy R. Decline in health for older adults: five-year change in 13 key measures of standardized health. J Gerontol A Biol Sci Med Sci. 2013;68(9):1059-67. PMID: 23666944; https://doi.org/10.1093/gerona/glt038.
Willcox JK, Ash SL, Catignani GL. Antioxidants and prevention of chronic disease. Crit Rev Food Sci Nutr. 2004;44(4):275-95. PMID: 15462130; https://doi.org/10.1080/10408690490468489.
Prazeres F, Santiago L. Prevalence of multimorbidity in the adult population attending primary care in Portugal: a cross-sectional study. BMJ Open. 2015;5(9):e009287. PMID: 26408832; https://doi.org/10.1136/bmjopen-2015-009287.
Robles TF. Marital quality and health: Implications for marriage in the 21st century. Curr Dir Psychol Sci. 2014;23(6):427-32. PMID: 25544806; https://doi.org/10.1177/0963721414549043.
Banjare P, Pradhan J. Socio-economic inequalities in the prevalence of multi-morbidity among the rural elderly in Bargarh District of Odisha (India). PLoS One. 2014;9(6):e97832. PMID: 24902041; https://doi. org/10.1371/journal.pone.0097832.
Ma C, Jiang Y, Li Y, et al. Healthcare underutilization in middle-aged and elderly adults in China. Public Health. 2019;166:65-8. PMID: 30465932; https://doi.org/10.1016/j.puhe.2018.10.003.
Oliveira BL, Thomaz EB, Silva RA. The association between skin color/race and health indicators in elderly Brazilians: a study based on the Brazilian National Household Sample Survey (2008). Cad Saude Publica. 2014;30(7):1438-52. PMID: 25166941; https://doi.org/10.1590/0102-311x00071413.
Anderson NB, Myers HF, Pickering T, Jackson JS. Hypertension in blacks: psychosocial and biological perspectives. J Hypertens. 1989;7(3):161-72. PMID: 2651519.
Bosma H, Lamers F, Jonkers CC, van Eijk JT. Disparities by education level in outcomes of a self-management intervention: the DELTA trial in The Netherlands. Psychiatr Serv. 2011;62(7):793-5. PMID: 21724794; https://doi.org/10.1176/ps.62.7.pss6207_0793.
David GC, Shimizu HE, Silva END. Atenção Primária à Saúde nos municípios brasileiros: eficiência e disparidades. Saúde Debate. 2015;39(spe):232-45. https://doi.org/10.5935/0103-1104.2015S005512.
Malta DC, Santos MA, Stopa SR, et al. Family Health Strategy Coverage in Brazil, according to the National Health Survey, 2013. Cien Saude Colet. 2016;21(2):327-38. PMID: 26910142; https://doi.org/10.1590/1413-81232015212.23602015.