Factors associated with the most frequent multimorbidities in Brazilian older adults

Laércio Almeida de Melo Kenio Costa de Lima About the authors

Abstract

This study aimed to identify an association between the most frequent multimorbidities in Brazilian older adults and socioeconomic and lifestyle variables. National Health Survey’s data were used. The Chi-square test and the Poisson multiple regression were used to analyze data. A total of 5,575 older adults with multimorbidity and mean age of 70.3 years participated in the study. Most of them are female (66.3%), white (56.1%), are sedentary (75.3%), with low schooling (40%), no health plan (65.3%), did not consume alcohol (78.7%) and did not smoke (90.1%). The most prevalent multimorbidities were hypertension and high cholesterol (31.3%), hypertension and stroke (30.9%) and hypertension and diabetes (23.3%). There was an association of the first condition with females, younger adults and no tobacco use. On the other hand, the second condition was associated with females and low level of schooling. The third group was associated with low schooling, sedentary lifestyle and no tobacco use. We can conclude that multimorbidity in Brazilian older adults is a frequent condition in women, younger seniors and those socioeconomically disadvantaged. Also, socioeconomic conditions and lifestyle influenced the prevalence of primary multimorbidities.

Key words
Multimorbidity; Elderly; Chronic diseases

Introduction

The world health scenario experiences an epidemiological transition with a profound change in health and disease patterns, which interact with demographic, economic, social, cultural and environmental factors11 Szwarcwald CL, Souza-Júnior PRB, Damacena GN. Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey. BMC Health Serv Res 2010; 10(217):1-7.. Although infectious diseases are still relevant and present, chronic noncommunicable diseases have recorded a significant increase, among which cardiovascular diseases, cancers, diabetes, chronic respiratory diseases and neuropsychiatric diseases have accounted for high mortality and loss of quality of life. Also, these conditions can generate disabilities, a high degree of limitation in their activities of daily living and leisure and, consequently, exert considerable pressure on health services22 Schmidt MI, Duncan BB, Azevedo e Silva G, Menezes AM, Monteiro CA, Barreto SM, Chor D, Menezes PR. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet 2011; 377(9781):1949-1961..

Within this context, the occurrence of multiple chronic diseases in a single individual, known as multimorbidity, has also become quite present in the world population. This situation is possibly due to the reduced positive diagnostic threshold for most chronic diseases, the transition from a young population to an elderly population or by the increased prevalence of these diseases33 Starfield B. Challenges to primary care from co- and multi-morbidity. Prim Health Care Res & Dev 2011; 12(1):1-2.. In older adults, precisely due to its high vulnerability, multimorbidity is itself an even more frequent clinical condition. This may be closely related to an increased life expectancy of the population44 Salive ME. Multimorbidity in older adults. Epidemiol Rev 2013; 35(1):75-83..

Considered as a public health problem, the prevalence of multimorbidity in older adults can reach a percentage above 50%, and when present, this condition can have serious consequences, including more significant risks of death, functional decline and shorter life expectancy of this population55 Gijsen R, Hoeymans N, Schellevis FG, Ruwaard D, Satariano WA, van den Bos GA. Causes and consequences of comorbidity: a review. J Clin Epidemiol 2001; 54(7):661-674.,66 DuGoff EH, Canudas-Romo V, Buttorff C, Leff B, Anderson GF. Multiple Chronic Conditions and Life Expectancy: A Life Table Analysis. Med Care 2014; 52(8):688-694.. Studies have shown a strong association of the prevalence of multimorbidity with highly prevalent harmful factors, such as smoking, alcohol abuse, overweight, high cholesterol, low consumption of fruits and vegetables, and sedentary lifestyle in the general population. However, these studies looked for factors associated only with the fact of having multimorbidity and the number of chronic diseases, neglecting the types of concurrent diseases in older adults and their associated factors77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642..

Thus, with the identification of the profile of older adults with multimorbidity and the factors associated with the central concurrent diseases, the formulation of public policies aimed at the prevention of these diseases are facilitated1414 Brasil. Ministério da Saúde (MS). Programa de avaliação para a qualificação do Sistema Único de Saúde. Brasília: MS; 2011. [acessado 2018 Jan 15]. Disponível em: http://observasaude.fundap.sp.gov.br/saude2/sus/Acervo/SUS_AvlQualif_3.pdf
http://observasaude.fundap.sp.gov.br/sau...
. Therefore, this population-wide study aimed at finding the association of the most frequent multimorbidities with socioeconomic and lifestyle variables.

Materials and methods

A cross-sectional and population-based study was carried out using the National Health Survey (PNS) database with data collection started in 2013 and completed in 2014. The PNS is representative of individuals over the age of 18 living in Brazilian households. These households were located in urban and rural areas, covering the five geographic macro-regions of the country. The only unit of analysis of this study was older adults (60 years of age and over) with multimorbidity. The older adults considered with this condition must have been diagnosed with two or more concurrent chronic diseases. The PNS research project was approved by the National Research Ethics Commission on June 26, 2013.

The chronic diseases that have multimorbidity were those surveyed in PNS and diagnosed by a physician. The presence of the following conditions among the existing chronic diseases were analyzed: diabetes, hypertension, heart disease, high cholesterol, stroke, asthma, arthritis or rheumatism, depression, spinal problems, mental diseases (schizophrenia, bipolar disorder or obsessive-compulsive disorder), pulmonary diseases (chronic bronchitis, emphysema or chronic obstructive pulmonary disease), kidney failure and cancer. We performed a 2x2 combination of all the chronic diseases evaluated and then a frequency analysis to identify the most prevalent multimorbidities.

Concerning factors associated with the occurrence of the main multimorbidities in the Brazilian older adults, two variables were analyzed, and they are lifestyle variables (alcohol and tobacco use, and physical activity) and socioeconomic variables (gender, age, skin color or ethnicity, civil service, schooling, and health plan). Also, the profile of the older adults with multimorbidity was identified from the distribution of this population within these same blocks of variables.

Data were analyzed using Statistical Package for Social Science (SPSS), version 20.0. A priori, the frequency distribution of all variables of the study was made. Finally, the Chi-square test and the Poisson multiple regression were used to verify the association between sociodemographic variables and lifestyle with the most frequent multimorbidity, with a confidence interval of 95%. We initially tested multicollinearity to determine the independent variables that entered the multivariate analysis by performing chi-square tests among those that obtained p < 0.200 in the univariate analysis. Due to the sample size, such associations were considered significant for a value of p = 0.000001. Next, the adjusted prevalence ratios were estimated using Poisson multiple regression. Data from this study were weighted considering the effect of the sampling plan, non-response rates, and post-stratification weights.

Results

In total, 5,575 Brazilians older adults with multimorbidity and mean age of 70.3 years (± 0.2) were evaluated, ranging from 60 to 101 years. Most older adults with multimorbidity were female (66.3%), younger adults, aged between 60 and 69 years (53%), white (56.1%), married (44%), incomplete primary education 40%), with no health plan (65.3%), with a sedentary lifestyle (75.3%) and no alcohol consumption (78.7%) and no tobacco use (44%). On average, these elderly had 3.1 (± 0.3) chronic diseases. The most frequent multimorbidities were hypertension and high cholesterol (31.3%), hypertension and stroke (30.9%) and hypertension and diabetes (23.3%).

Table 1 shows the frequency of the independent variables and the association with the fact of having hypertension and high cholesterol from the univariate analysis. Based on the data presented, we can observe that the prevalence of hypertension and high cholesterol in older adults is associated with females, younger seniors and no tobacco use at the moment of the research. In the multivariate analysis, also found in Table 1, the variables remained significant considering the model fit.

Table 1
Association between the presence of hypertension and high cholesterol in older adults with the socioeconomic and lifestyle variables, and their crude and adjusted prevalence ratio measures.

When seeking the association of older adults with hypertension and stroke with the independent variable (Table 2), the univariate and multivariate analysis showed that the prevalence of this condition was associated with females and older adults with incomplete primary education. Finally, in Table 3, we searched for an association between the prevalence of hypertension and diabetes and the socioeconomic and lifestyle variables. In the univariate analysis, we can observe that this condition was associated with incomplete primary education and no alcohol/tobacco use at the time of the interview and sedentary lifestyle. In the multivariate analysis (Table 3), the fact that older adults had an incomplete elementary education, did not smoke and had a sedentary lifestyle remained significant.

Table 2
Association between the presence of Hypertension and Stroke in older adults with the socioeconomic and lifestyle variables, and their crude and adjusted prevalence ratio measures.
Table 3
Association between the presence of Hypertension and Diabetes in older adults with the socioeconomic and lifestyle variables, and their crudes and adjusted prevalence ratio measures.

Discussion

This study aimed to find an association of the most frequent multimorbidities in Brazilian older adults with socioeconomic and lifestyle variables. In parallel, the profile of this population segment with multimorbidity was also identified. The results found are representative of Brazil and its large regions. Faced with a negative impact on the public health and quality of life of these older adults, the identification of the factors associated with the primary multimorbidities that affect this population is of great value for the establishment of measures aimed at health promotion and prevention of these diseases1414 Brasil. Ministério da Saúde (MS). Programa de avaliação para a qualificação do Sistema Único de Saúde. Brasília: MS; 2011. [acessado 2018 Jan 15]. Disponível em: http://observasaude.fundap.sp.gov.br/saude2/sus/Acervo/SUS_AvlQualif_3.pdf
http://observasaude.fundap.sp.gov.br/sau...
.

Most older adults with multimorbidity are female, white, sedentary, with low schooling, no health plans, married, and no alcohol and tobacco use. The predominance of females compared males corroborates most of the literature reviewed on the subject77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642.. This can be explained because the world and the national female population is larger than the male population, and women have a longer life expectancy, which increases the possibility of multimorbidity77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642.. Concerning a sedentary lifestyle, it is already known that this habit is associated with a higher prevalence of falls, physical weakness, mood swings, obesity and elevated levels of glucose and triglycerides1515 Gualano B, Tinucci T. Sedentarismo, exercício físico e doenças crônicas. Rev Bras Educ Fis Esporte 2011; 25(n. esp.):37-43.. Thus, the lack of physical activity found in most of these seniors may be a contributing factor to the prevalence of multimorbidity.

Concerning low schooling found in older adults with multimorbidity, this condition hinders individual search for knowledge and prevention to avoid the accumulation of chronic diseases88 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.. The same consequence extends to seniors without a health plan. Lower access to health services reduces guidelines and medical care pertinent to these older adults to avoid the installation of chronic diseases77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642.. Because most of the elderly are married, younger, white, do not consume alcohol and do not smoke, reflects the general characteristics of the Brazilian population1616 Camarano AA, Kanso S, Mello JL. Como vive o idoso brasileiro? In: Camarano AA, organizador. Os novos idosos brasileiros muito além dos 60? Rio de Janeiro: IPEA; 2004. p. 25-76.. Most older adults residing in Brazil are married or widowed and self-declared white1616 Camarano AA, Kanso S, Mello JL. Como vive o idoso brasileiro? In: Camarano AA, organizador. Os novos idosos brasileiros muito além dos 60? Rio de Janeiro: IPEA; 2004. p. 25-76.. Regarding lifestyle, the prevalence of alcohol abuse in Brazil is 6.1%, while concerning tobacco use in the 1990-2015 period, the percentage of daily smokers in the country fell from 29% to 12% among men and from 19% to 8% among women1717 Reitsma MB, Fullman N, Ng M, Salama JS, Abajobir A, Abate KH, et al. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990-2015: a systematic analysis from the Global Burden of Disease Study 2015. Lancet 2017; 389(10082):1885-1906.,1818 Damacena GN, Malta DC, Boccolini CS, Júnior PRBS, Almeida WS, Ribeiro LS, Szwarcwald CL. Consumo abusivo de álcool e envolvimento em acidentes de trânsito na população brasileira, 2013. Cien Saude Colet 2016; 21(12):3777-3786..

The simultaneous prevalence of hypertension and high cholesterol was 31.3%, that of hypertension and stroke, 30.9%, and hypertension and diabetes, 23.3%.

Unlike chronic diseases found in isolation, the concurrent nature of these diseases among the elderly is still poorly described in the national literature. A study using data from 1998, 2003, 2008 National Household Sample Survey (PNAD) showed a fast-growing prevalence of multimorbidity after the age of 50 years, and among senior Brazilians aged 65 or over, prevalence was above 15%1919 Freitas LRS, Garcia LP. Evolução da prevalência do diabetes e deste associado à hipertensão arterial no Brasil: análise da Pesquisa Nacional por Amostra de Domicílios, 1998, 2003 e 2008. Epidemiol Serv Saude 2012; 21(1):7-19.. The few studies that have proposed to study multimorbidity in the elderly, evaluating the types of diseases present, were limited to studying the simultaneous presence of hypertension and diabetes, and these obtained prevalence levels similar to that of this study1919 Freitas LRS, Garcia LP. Evolução da prevalência do diabetes e deste associado à hipertensão arterial no Brasil: análise da Pesquisa Nacional por Amostra de Domicílios, 1998, 2003 e 2008. Epidemiol Serv Saude 2012; 21(1):7-19.

20 Silva DB, Souza TA, Santos CM, Jucá MM, Moreira TMM, Frota MA, Vasconcelos SMM. Associação entre hipertensão arterial e diabetes em centro de saúde da família. Rev Bras Prom Saúde 2011; 24(1):16-23.
-2121 Filho AIL, Firmo JOA, Uchoa E, Lima-Costa MF. Fatores associados à autoavaliação negativa da saúde entre idosos hipertensos e/ou diabéticos: resultados do projeto Bambuí. Rev Bras Epidemiol 2013; 16(3):559-571..

As a differential, this study evaluated the most frequent multimorbidities in Brazilian older adults. The most frequent condition, namely, hypertension and high cholesterol, was associated with females, younger adults and no tobacco use at the time of the research. When assessed separately, hypertension is more associated with males according to the pre-existing literature2222 Barbosa LS, Scala LCN, Ferreira MG. Associação entre marcadores antropométricos de adiposidade corporal e hipertensão arterial na população adulta de Cuiabá, Mato Grosso. Rev Bras Epidemiol 2009; 12(2):237-247..

However, when it comes to multimorbidity in older adults, females are more likely to accumulate chronic diseases77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642. because of their higher life expectancy. Also, women experience minor practices of essential measures for the prevention of chronic diseases, such as physical activity. This greater occurrence of multimorbidity in women has also been reported in other studies77 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.

8 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.

9 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.

10 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.

11 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.

12 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
-1313 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity associated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol 2017; 20(5):634-642.. In general, women use health services more, which increases their familiarity with medical terminology and increases the probability of receiving a diagnosis of multimorbidity compared to older men2323 Barros MBA, Francisco PMSB, Zanchetta LM, César CLG. Tendências das desigualdades sociais e demográficas na prevalência de doenças crônicas no Brasil, PNAD: 2003-2008. Cien Saude Colet 2011; 16(9):3755-3768.. It is suggested, therefore, that these factors are linked to a higher association of females with the concurrent presence of hypertension and diabetes, as well as of hypertension and stroke. Regarding prevalence associated with younger seniors, hypertension is a common disease in young adults, and because it is chronic, it is a lifelong condition2424 Silva EC, Martins MSAS, Guimarães LV, Segri NJ, Lopes MAL, Espinosa MM. Prevalência de hipertensão arterial sistêmica e fatores associados em homens e mulheres residentes em municípios da Amazônia Legal. Rev Bras Epidemiol 2016; 19(1):38-51.. When associating with other diseases with a high negative health impact, such as high cholesterol, this type of multimorbidity can reduce life expectancy, which justifies a lower prevalence of these concurrent conditions in older people. It is also worth noting that the presence of high cholesterol is a risk factor for the development of atherosclerosis and, consequently, of heart attacks2525 Macedo LET, Faerstein E. Colesterol e a prevenção de eventos ateroscleróticos: limites de uma nova fronteira. Rev Saude Publica 2017; 51:2.. Thus, it is likely that older adults with this chronic disease associated with hypertension are dying earlier compared to those with other types of chronic diseases, which justifies a higher prevalence of this multimorbidity in the young and not the older ones.

Tobacco use had an inverse association with the concurrent presence of the diseases. Results such as these were seen in studies evaluating hypertension alone2626 Zaitune MPA, Barros MBA, Lima MG, César CLG, Carandina L, Goldbaum M, Alves MCGP. Fatores associados ao tabagismo em idosos: Inquérito de Saúde no Estado de São Paulo (ISA-SP). Cad Saude Publica 2012; 28(3):583-595.,2727 Lima Costa MFF, Peixoto SV, César CC, Malta DC, Moura EC. Comportamentos em saúde entre idosos hipertensos, Brasil, 2006. Rev Saude Publica 2009; 43(Supl. 2):18-26.. Because it is one of the main risk factors for mortality due to chronic noncommunicable diseases (NCDs), especially for those with hypertension, the recommendation of tobacco use cessation after diagnosis of chronic diseases is a frequent and immediate measure2828 World Health Organization (WHO). Global estimate of the burden of disease from second-hand smoke. Geneva: WHO; 2010.. With this in mind, possibly the recommendations of not smoking were present in the population studied with this type of multimorbidity.

Besides the association with females, the second most frequent condition, namely, hypertension and stroke, was associated with low schooling levels. Thus, less knowledge is acquired and, consequently, access to preventive measures of hypertension and stroke are impaired88 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.. Concerning the prevalence of hypertension and diabetes, the multivariate analysis showed an association with the fact that older adults had incomplete primary education, did not smoke and were sedentary. Non-use of tobacco and lower schooling levels follow the same logic of the previous conditions as possible justifications. In the case of hypertension and diabetes, physical inactivity appeared as an associated factor only for this condition. Several longitudinal studies have shown a beneficial effect of physical activity on carbohydrate metabolism, long-term insulin sensitivity, and the prevalence of obesity, which may prevent the incidence of diabetes2929 Colberg SR, Albright AL, Blissmer BJ, Braun B, Chasan-Taber L, Fernhall B, Regensteiner JG, Rubin RR, Sigal RJ; American College of Sports Medicine; American Diabetes Association. Exercise and type 2 diabetes: American College of Sports Medicine and the American Diabetes Association: joint position statement. Exercise and type 2 diabetes. Med Sci Sports Exerc 2010; 42(12):2282-2303.. Therefore, since hypertension was present in the other two multimorbidities studied, the consequences of physical inactivity probably had a more significant influence on the involvement of diabetes in older adults with accumulations of chronic diseases.

Finally, because it is a cross-sectional study, it does not facilitate the identification of a well-established cause and consequence relationship between the studied variables. It is suggested, therefore, to perform longitudinal studies on the subject that can confirm the hypotheses raised in this work. This study’s research unit was Brazilian older adults with multimorbidity, with the feature of a broad population range. As a consequence, high power of inference to the profile of the Brazilian older adults can be established. Thus, greater attention should be paid to the establishment of preventive measures for female seniors, those with low schooling levels and who are sedentary. Also, instructions for healthy lifestyle habits should be provided to individuals before aging, since young adults are already being affected by multimorbidities.

Conclusion

In conclusion, we identified that multimorbidity in Brazilian older adults is a quite frequent condition in women, in those younger and socioeconomically disadvantaged. Also, adverse socioeconomic conditions and lifestyle influenced the prevalence of primary multimorbidities.

References

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  • 2
    Schmidt MI, Duncan BB, Azevedo e Silva G, Menezes AM, Monteiro CA, Barreto SM, Chor D, Menezes PR. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet 2011; 377(9781):1949-1961.
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    Salive ME. Multimorbidity in older adults. Epidemiol Rev 2013; 35(1):75-83.
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    Gijsen R, Hoeymans N, Schellevis FG, Ruwaard D, Satariano WA, van den Bos GA. Causes and consequences of comorbidity: a review. J Clin Epidemiol 2001; 54(7):661-674.
  • 6
    DuGoff EH, Canudas-Romo V, Buttorff C, Leff B, Anderson GF. Multiple Chronic Conditions and Life Expectancy: A Life Table Analysis. Med Care 2014; 52(8):688-694.
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    Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open 2017; 7(3):e013529.
  • 8
    Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health 2015; 14(1):50.
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    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.
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    Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population- based survey. BMC Geriatr 2013; 13:22.
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    Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health 2012; 12:201.
  • 12
    Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health 2008; 98(7):1198-1200.
  • 13
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Publication Dates

  • Publication in this collection
    28 Sept 2020
  • Date of issue
    Oct 2020

History

  • Received
    15 Oct 2018
  • Accepted
    04 Jan 2019
  • Published
    06 Jan 2019
ABRASCO - Associação Brasileira de Saúde Coletiva Rio de Janeiro - RJ - Brazil
E-mail: revscol@fiocruz.br