0099/2018 - Prevalência de morbidades autorreferidas e fatores associados entre idosos comunitários de Uberaba, Minas Gerais, Brasil.
Prevalence of self-reported morbidities and associated factors among community-dwelling elderly in Uberaba, Minas Gerais, Brazil.
Autor:
• Darlene Mara dos Santos Tavares - Tavares, D.M.S - Uberaba - <darlenetavares@enfermagem.uftm.edu.br>ORCID: https://orcid.org/0000-0001-9565-0476
Coautor(es):
• Paula Berteli Pelizar - Pelizar, PB - <paulabertelip@hotmail.com>• Maycon Sousa Pegorari - Pegorari, M.S - <mayconpegorari@yahoo.com.br>
ORCID: https://orcid.org/0000-0003-4015-9895
• Mariana Mapelli Paiva - Paiva, Mariana Mapelli - <marianamapelli@hotmail.com>
• Gianna Fiori Marchiori - Marchiori, GF - <gianna_fiori@yahoo.com.br>
Resumo:
Objetivou-se verificar a prevalência e os fatores socioeconômicos e de saúde associados a morbidades autorreferidas entre idosos da comunidade. Inquérito analítico e transversal, conduzido em 2012 com 1691 idosos de Uberaba-MG. Utilizou-se instrumento estruturado para os dados socioeconômicos e morbidades autorreferidas; e Escalas (Depressão Geriátrica Abreviada, Katz e Lawton e Brody). Procedeu-se às análises descritiva e regressão linear (pPalavras-chave:
Inquéritos de morbidade; Saúde do Idoso; População Urbana; Nível de Saúde; Epidemiologia.Abstract:
The objective was to verify the prevalence and socioeconomic and health factors associated with morbidity among community elders. Analytical and cross-sectional survey conducted in 2012 with 1691 elderlyUberaba-MG. It was used a structured instrument related to socioeconomic and morbidities self-reported data and scales (Abbreviated Geriatric Depression, Katz and Lawton and Brody). The procedure to the descriptive analysis and linear regression (pKeywords:
Morbidity Surveys; Health of the Elderly; Urban Population; Health Status; Epidemiology.Conteúdo:
Acessar Revista no ScieloOutros idiomas:
Prevalence of self-reported morbidities and associated factors among community-dwelling elderly in Uberaba, Minas Gerais, Brazil.
Resumo (abstract):
The objective was to verify the prevalence and socioeconomic and health factors associated with morbidity among community elders. Analytical and cross-sectional survey conducted in 2012 with 1691 elderlyUberaba-MG. It was used a structured instrument related to socioeconomic and morbidities self-reported data and scales (Abbreviated Geriatric Depression, Katz and Lawton and Brody). The procedure to the descriptive analysis and linear regression (pPalavras-chave (keywords):
Morbidity Surveys; Health of the Elderly; Urban Population; Health Status; Epidemiology.Ler versão inglês (english version)
Conteúdo (article):
Prevalência de morbidades autorreferidas e fatores associados entre idosos comunitários de Uberaba, Minas Gerais, BrasilPrevalence of self-reported morbidities and associated factors among community-dwelling elderly in Uberaba, Minas Gerais, Brazil
Darlene Mara dos Santos Tavares1; Paula Berteli Pelizaro2; Maycon Sousa Pegorari3; Mariana Mapelli de Paiva4; Gianna Fiori Marchiori1
Curso de Graduação em Enfermagem, Universidade Federal do Triângulo Mineiro. Pç. Manoel Terra 330, Centro. 38015-050. Uberaba MG Brasil. darlene.tavares@uftm.edu.br
2 Curso de Graduação em Fisioterapia, Universidade Federal do Triângulo Mineiro. Uberaba MG Brasil.
3 Curso de Graduação em Fisioterapia, Universidade Federal do Amapá. Macapá AP Brasil.
4 Curso Técnico em Enfermagem, Instituto Federal do Norte de Minas Gerais. Almenara MG Brasil.
RESUMO
Objetivou-se verificar a prevalência e os fatores socioeconômicos e de saúde associados a morbidades autorreferidas entre idosos da comunidade. Inquérito analítico e transversal, conduzido em 2012 com 1691 idosos de Uberaba-MG. Utilizou-se instrumento estruturado para os dados socioeconômicos e morbidades autorreferidas; e Escalas (Depressão Geriátrica Abreviada, Katz e Lawton e Brody). Procedeu-se às análises descritiva e regressão linear (p<0,05). Maior percentual (88,3%) de idosos referiram duas ou mais morbidades, com maior prevalência para hipertensão arterial sistêmica (61,9%) e problemas de coluna (48,6%). Foram associados ao maior número de morbidades: sexo feminino (β=0,216; p<0,001), incapacidade funcional para atividades básicas (β=0,240; p<0,001) e instrumentais (β=0,120; p<0,001) de vida diária e indicativo de depressão (β=0,209; p<0,001). A presença de duas ou mais morbidades e a associação com variáveis socioeconômicas e de saúde demonstram a necessidade de ações de monitoramento e controle desses fatores entre idosos nessa condição.
Palavras-chave: Inquéritos de morbidade; Saúde do Idoso; População Urbana; Nível de Saúde; Epidemiologia.
ABSTRACT
This study aimed to verify the prevalence and socioeconomic and health factors associated with morbidity among community-dwelling elderly. This is an analytical and cross-sectional survey conducted in 2012 with 1,691 elderly from Uberaba-MG. A tool structured for socioeconomic data and self-reported morbidities was used along with the Abbreviated Geriatric Depression, Katz and Lawton-Brody scales. We proceeded to a descriptive analysis and linear regression (p<0.05). A high percentage (88.3%) of elderly reported two or more morbidities, with higher prevalence for systemic arterial hypertension (61.9%) and back problems (48.6%). Female gender (β=0.216; p<0.001), functional disability in basic (β=0.240; p<0.001) and instrumental activities of daily living (β=0.120; p<0.001) and indicative of depression (β=0.209; p <0.001) were associated with the highest number of morbidities. The presence of two or more comorbidities and the association with socioeconomic and health variables show the need for monitoring and control actions of the factors that interfere in the elderly in this condition.
Keywords: Morbidity Surveys; Elderly Health; Urban Population; Health Status; Epidemiology.
INTRODUCTION
The demographic and epidemiological transition process has resulted in a change in the population profile and in morbimortality, especially in increased chronic noncommunicable diseases (CNCDs)1-2, which according to data from the World Health Organization (WHO) account for about 80% of deaths in low- and middle-income countries3.
CNCDs are a relevant public health problem today4 since they result in disabilities for daily activities and, consequently, decreased quality of life5. According to the National Household Sample Survey, the proportion of individuals aged 65 years and over who reported at least one chronic disease was 79.1%. Among the diseases, according to the scientific literature, most deaths are due to diseases of the circulatory system, cancer, diabetes and chronic respiratory diseases, respectively1.
National studies from inland Minas Gerais and international studies conducted in Spain showed that hypertension was the most frequent disease in elderly follow-up7-9. Regarding gender gaps, an international study carried out in Spain found that the most frequent morbidities in men were chronic obstructive pulmonary disease (COPD), heart disease, ischemia and cancer. Dementia, depression, asthma, dyslipidemia and hypertension8 were mostly found in women.
In a study carried out with elderly in Teófilo Otoni (MG), 83.1% reported having at least one chronic disease, and being non-white, low schooling, medication consumption, use of dental prosthesis, need for public health services, third-party dependence and female gender were factors associated with diseases such as hypertension and diabetes mellitus9.
In Brazil, CNCD surveillance facilitates the understanding of the distribution, magnitude, trends and main risk factors of the population, as well as the identification of the social, economic and environmental determinants, in order to plan, implement and evaluate prevention and control actions1. In line with this strategy, health surveys include the National Health Survey (PNS), which monitors the health conditions of the Brazilian population by means of a survey considering several realms, including chronic morbidity5 and Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL)4.
It should be noted that increased chronic diseases tend to accompany the rapid growth of the Brazilian elderly population, and, thus, the development of a new model of health care for this group becomes relevant1. In addition, the understanding of health professionals of socioeconomic, behavioral and educational challenges of the elderly and their families9 can result in improved aspects related to morbidities10. In this perspective, strengthening health services, aiming at increasing interventions for the prevention and control of chronic diseases and bettering the health education process are strategies for the development of care with a comprehensive approach to the health of individuals in this condition1.
When considering the increased number of elderly people in the Brazilian population and the impact of CNCDs, it becomes essential to understand the main factors associated with this process in order to contribute to public policies’ actions. Thus, this study aimed to verify the prevalence and socioeconomic and health factors associated with morbidities among the elderly in the municipality of Uberaba (MG) in 2012.
METHODS
This is a household survey with a quantitative, cross-sectional and analytical approach conducted in 2012 with elderly residents in an urban area of the city of Uberaba (MG).
In 2005, the Municipal Zoonoses Center provided us with a list containing the full name and address of the elderly to make up the sample. For the selection of the elderly, 95% confidence interval, 80% test power, a margin of error of 4.0% for the interval estimates and an estimated proportion of π=0.5 were considered for the proportions of interest. In 2012, interviewers visited the households of the 2,116 elderly, of whom 1,691 were interviewed according to the inclusion criteria established, which were to be 60 years of age or older, to reside in the urban area of the municipality and not having a cognitive decline. Exclusions and/or losses were related to deaths (265) and cognitive decline (160).
Ten interviewers were selected for data collection and were trained by the researcher responsible regarding the elderly approach, application of questionnaires and the ethical aspects involved in the research. Interviews were reviewed by supervisors, who checked for incomplete fields or inconsistent responses. If these situations occurred, the questionnaire was returned to the interviewer who contacted the elderly for adequate completion.
The cognitive status was evaluated through the Mini Mental State Examination (MMSE), based on the translated version validated for Brazil11 to verify whether the elderly had cognitive decline, one of the inclusion criteria of this study. The MMSE has a total score ranging from zero to 30 points, and cutoff points for cognitive decline vary according to elderly schooling: 13 points for illiterate, 18 points for 1-11 years schooling and 26 points for over 11 years schooling11.
A form prepared by the Public Health Research Group was used for the characterization of sociodemographic and economic data and identification of self-reported morbidities.
Functional disability for basic activities of daily living (BADL) was measured by means of the Index of Independence in Activities of Daily Living (Katz Scale) adapted to the Brazilian reality12. This scale consists of six items that measure individual performance in self-care activities, such as bathing, dressing, going to the bathroom, lying down and getting out of bed, eating and controlling urination and/or evacuation functions12. Limitations in instrumental activities of daily living (IADL) were assessed by the Lawton-Brody Scale (1969) adapted for Brazil13. This scale consists of nine items, such as using the telephone, going to distant places using transportation, shopping, preparing meals, cleaning and tidying up the house, taking medications and dealing with finances13. Functional disability is when the elderly had one or more partial and/or total dependence for both BADL and IADL.
The indicative of depression was assessed using the Abridged Geriatric Depression Scale. This scale is used for the screening of the indicative of depression and was proposed by Yesavage in 1986 and validated in Brazil by Almeida and Almeida (1999)14, consisting of 15 questions with objective answers (yes or no). Positive screening for indicative of depression was considered when the score was higher than five points.
The following variables were included for the study: gender; age group, in years (60-69, 70-79, 80 years and over); marital status (never married or lived with partner, married, separated/divorced and widower); schooling, in years of study (illiterate, 1-3, 4-7, 8, 9-10 and 11 and over); individual monthly income, in minimum wages (MW) (no income, less than 1 MW; 1 MW, 2-3 MW, 4-5 MW, greater than 5 MW; self-reported morbidities (rheumatism, arthritis/arthrosis, osteoporosis, asthma/bronchitis, tuberculosis, embolism, systemic arterial hypertension, poor circulation, heart problems, diabetes, obesity, stroke, Parkinson’s, urinary incontinence, fecal incontinence, intestinal constipation, sleep problems, cataract, glaucoma, back problems, kidney problems, accident/trauma sequelae, malignant tumors, benign tumors, vision problems and others), number of self-reported morbidities, indicative of depression (yes/no), functional disability for BADL (dependent/independent) and IADL (dependent/independent).
After data collection, an electronic database was built in the Excel program, processed in a microcomputer and double entered by two people. The existence of duplicated records and the consistency of fields were verified. In the case of inconsistent data, the original interview was retrieved for correction. Subsequently, the database was imported into the software “Statistical Package for Social Sciences” (SPSS), version 17.0, for data analysis.
Descriptive statistical analysis was performed for the categorical variables from absolute and percentage frequencies; and means and standard deviations for the numerical ones. For the preliminary bivariate analysis, t-student tests were used to compare the number of self-reported morbidities with the categorical variables (gender, income, functional disability for basic and instrumental activities of daily living and indicative of depression) and Pearson’s coefficient of correlation for the variables age and schooling. Tests were considered significant when p <0.10.
The variables of interest were REPLACEed in the multiple linear regression model according to the inclusion criterion (p<0.10) established in the preliminary bivariate analysis. The variables age, schooling and dichotomies were quantitative, whereas income, functional disability for basic and instrumental activities of daily living and indicative of depression (independent variables) were dichotomous. Factors associated with the number of self-reported morbidities (dependent variable) were identified using the linear regression model (enter method), considering a significance level of 5% (p<0.05). We considered the necessary minimum prerequisites including residual analyses (normality, linearity and homoscedasticity) and multicollinearity.
The project was submitted to the Human Research Ethics Committee of UFTM and was approved under opinion 2265. The interviewers approached the elderly of the study at home; they showed them the Informed Consent Form and, after clarifications, participants were asked to sign said form to start the interview.
RESULTS
Among the 1,691 respondents, mean age was 72.53 years (SD=±7.4); and most were female, aged 70-79 years, had 4-7 years of schooling, were married and with individual monthly income of one minimum wage, Table 1.
Table 1 shows the distribution of the frequency of sociodemographic and economic variables of the elderly.
(Tabela 1)
It was evidenced that 3.4% (n=57) of the elderly reported no morbidity, while 8.2% (n=139) had one and 88.3% (n=1494) two or more. The most prevalent morbidities were systemic arterial hypertension and back problems, Table 2.
Table 2 shows the distribution of morbidities self-reported by the elderly.
(Tabela 2)
Regarding factors associated with self-reported morbidities, the variables of the preliminary bivariate analysis submitted to the multivariate analysis according to the inclusion criterion established (p<0.10) were female gender (p<0.001), age (p=0.017), schooling (p=0.001), functional disability for BADL (p<0.001) and IADL (p<0.001) and indicative of depression (p<0.001).
The variables included in the multivariate linear regression model are shown in Table 3. The highest number of self-reported morbidities was associated with female gender (p<0.001), dependence for BADL (p<0.001) and IADL (p<0.001) and indicative of depression (p <0.001). The necessary minimum prerequisites considered were met and the coefficient of determination corresponded to 0.217.
Table 3 shows the final linear regression model for the factors associated with the number of morbidities in the elderly.
(Tabela 3)
DISCUSSION
With age, the presence of morbidities is a frequent condition for the elderly15. In Brazil, the number of elderly individuals aged 65 years and over who report having at least one disease is 79.1%1. In an international systematic review, the presence of two or more morbidities showed percentage variations between 55% and 98% in this age group15. National research carried out in Teófilo Otoni (MG) found that 83.1% of the elderly reported at least one morbidity9; in Maceió (AL), the highest percentage (60.1%) was observed among those who had one or more morbidities16; and in Porto Alegre (RS), 47.5% reported two or more diseases17. In international research, most of the elderly reported two or more diseases in Switzerland (70.4%)18 and Germany (73%)19.
This worldwide overview of a high percentage of CNCDs among the elderly population results in an increased burden of chronic diseases and, thus, the need for a new model of health care emerges1. As a result, the “Plan of strategic actions for coping with chronic noncommunicable diseases (CNCD) in Brazil” was developed to promote interventions aimed at reversing the negative impact of morbidities and their risk factors, as well as improving health care, early detection and timely treatment1.
It should be noted that, despite divergence between percentages referring to the number of diseases, there is a small number of elderly people who are not included in this epidemiological transition setting and, thus, report not having CNCDs. This occurs both at national (2.2%)16 and international (10%)18 levels. However, there is still a shortage of investigations about the increased number of morbidities and their associated factors in the scientific literature15.
Concerning the morbidities with higher percentages of self-reporting among the elderly, systemic arterial hypertension was identified in national9,16,20-22 and international19,23 literature, corroborating with this study. Regarding the morbidity of back problems, a high percentage (49.0%) was also identified in a study carried out in Ribeirão Preto-SP24; and in Germany (41.2%, 49.5%)19,23 with elderly people in the community.
Differing from this research, studies have identified arterial hypertension, arthropathy or osteoarticular system diseases16,20-21,25-26, hypercholesterolemia22 and diabetes mellitus16,22 as more prevalent morbidities.
Considered a public health problem27-28, the prevalence of hypertension in Brazil increased from 43.9% to 53.3% in the last decade28 and is characterized as a risk factor for the development of cardiovascular, cerebrovascular and chronic renal diseases and is a determinant of mortality27. On the other hand, the prevalence of back-related diseases, although considered high, decreased in the last decade29.
The high number of elderly people with chronic diseases exposes the importance of an organization of health services, by managers and researchers, with a view to developing prevention strategies and interventions for the age group in this condition30. This set of actions occurs due to the need for continuous care that chronicity entails to the health of the elderly, causing health professionals to disassociate themselves from a care structure geared to acute care30.
This diverse morbidity prevalence can be justified by the different methodologies used19,31, as well as by the variety of definitions, the number of morbidities REPLACEed for evaluation19,26, the categorization of the number of self-reported diseases19, and loco-regional specificities, resulting in difficulty to compare studies.
Most studies analyze the amount of morbidities according to a pre-established list9,19,23,26. Thus, the greater number of CNCDs in the questionnaire results in an increased percentage of multiple morbidities among the elderly19. Conversely, including categories among the elderly with the highest number of diseases may decrease these percentages19.
It is important to note that most of the national studies analyzed factors associated with specific morbidity9,21,32-33, hindering comparisons with this investigation.
The female gender as a factor associated with diabetes (p=0.047) was identified in a national study9. A study carried out in Spain25 and South Korea34 found that the highest number of morbidities was associated with the female gender (p<0.001)25.
This finding can be justified, among several factors, due to the strong gender component in the ageing of the population, with the highest percentage (55.5%) of the elderly women5. This longevity, characterized as feminization of old age35 leads to greater vulnerability, such as greater susceptibility to chronic diseases36. Other aspects are related to women’s increased demand for health services. Higher percentages, when compared to males, were verified among elderly women of Guarapuava (PR) regarding the use of medical consultation services (p=0.0029); clinical/laboratory test (p=0.0208) and emergency care services (p=0.0019)37. In addition, females perceive health risks more easily due to the greater access to information37.
This result points to the need to consider gender as an important factor when searching for morbidities in the elderly and, thus, develop specific interventions for those that in literature have shown a greater propensity for adverse results25.
The lack of association between old age and increased number of diseases in this study does not corroborate with a national study in Teófilo Otoni (MG)9 and Porto Alegre (RS)17 and an international study in Germany19,23. Some theories such as morbidity compression report a possible extension of the development of CNCDs to increasingly advanced ages38; and that related to increased morbidity proposes a reduced lethality of these diseases and, therefore, older and more long-lived individuals have a greater number of morbidities39. Most of the elderly of this research, because they are not those of more advanced age can fit in this setting and for that reason do not show association between the variables.
Multiple chronic diseases are a frequent feature in old age40 and this may be related to worse functional capacity18,25. This is corroborated by the high share of elderly individuals who self-reported two or more morbidities in this study and the association with functional limitations. However, according to scientific literature, the aspects that characterize the relationship between diseases and functional disability are still complex18.
A research conducted with elderly enrolled in the Family Health Strategy in Teófilo Otoni (MG) did not identify an association between the presence of at least one disease and functional dependence in activities of daily life (ADL); on the other hand, when analyzed in isolation, diabetes remained associated with ADL dependence (p=0.016)9. In the municipality of Japi (RN), elderly with hypertension (p=0.001) and SAH and diabetes (p=0.031) were associated with functional limitations for BADL. The relationship between IADL and increased morbidity was not identified and differed from this study33. In another study with elderly women in Jequié-BA, SAH morbidity was associated with moderate/severe dependence for the IADL (p=0.01)32.
The elimination of diseases can confer greater disability-free life expectancy21. On the other hand, it is believed that incapacitating processes can be a contributing factor, exacerbating comorbidity41 or configuring conditions for the development of diseases. In this perspective, it is relevant to adopt a model that monitors and stabilizes health conditions and problems and prioritizes maintenance of the functional capacity of the elderly40.
A population-based research in Florianópolis (SC) found that people with one or more chronic diseases had a higher prevalence of depression42, corroborating this research. Likewise, a study carried out in Porto Alegre (RS) found an association between the elderly who reported coronary disease, stroke, heart failure and indicative of depression17. Hormonal and physiological changes in the body may be associated with depression and thus the development of chronic diseases. On the other hand, people with diseases may show limitations in performing daily activities and those related to social functions, aspects that are likely to culminate in mood disorders and depression42.
In view of the above, understanding the factors associated with morbidities in the elderly results in a better basis for the development of strategies for health promotion and disease prevention9, especially for the most vulnerable groups, such as the elderly, and thus improve health indicators9.
Limitations of this study are the research contour that does not allow establishing causal relations and the use of a questionnaire that may underestimate or overestimate some information found.
The data analyzed allow us to conclude that most of the elderly mentioned two or more diseases. The variables associated with the greatest number of morbidities were female gender, functional disability and indicative of depression.
Thus, the results found in this research configure the need to implement strategic actions directed to the monitoring and control of factors related to the presence of morbidities among the elderly. It is important to highlight that the identification and early diagnosis of morbidities result in the possibility of postponing possible complications and provide inputs for the local planning of health actions. The adoption of a model based on maintaining the functionality of the elderly can contribute in this aspect.
ACKNOWLEDGMENTS
We would like to thank the National Council for Scientific and Technological Development (CNPq), Brazil, file nº 301704/2012-0 and the Foundation for Research Support of the State of Minas Gerais (FAPEMIG), Brazil, file nº APQ-00866-12 for their financial support.
Collaborators:
DMS Tavares contributed to the elaboration of the theoretical reference and design, critical review and approval of the version to be published. PB Pelizaro and MS Pegorari contributed to the elaboration of the theoretical reference, data collection and writing of the paper. MM Paiva and GF Marchiori contributed to the development of the discussion and conclusion.
BIBLIOGRAPHY
1. 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, 2011 [Access on October 20, 2015].160 p. (Série B. Textos Básicos de Saúde). Available from: http://bvsms.saude.gov.br/bvs/publicacoes/plano_acoes_enfrent_dcnt_2011.pdf
2. Organização Mundial da Saúde. Relatório Mundial de Envelhecimento e Saúde. 2015. [Access on October 20, 2015]. Available from: http://sbgg.org.br/wp-content/uploads/2015/10/OMS-ENVELHECIMENTO-2015-port.pdf
3. World Health Organization. Noncommunicable diseases. Country Profiles. Geneva. 2011 [cited on October 23, 2015]. Available from: http://apps.who.int/iris/bitstream/10665/44704/1/9789241502283_eng.pdf
4. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção de Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2016 [Access October 31, 2017] .136 p. Available from: http://www.ans.gov.br/images/stories/Materiais_para_pesquisa/Materiais_por_assunto/2015_vigitel.pdf
5. Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde. Percepção do estado de saúde, estilos de vida e doenças crônicas. Rio de Janeiro: IBGE. 2014 [Access on July 10, 2015]. Available from: ftp://ftp.ibge.gov.br/PNS/2013/pns2013.pdf
6. Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional por Amostra de Domicílios – um panorama da Saúde no Brasil: acesso e utilização dos serviços, condições de saúde e fatores de risco e proteção à saúde (PNAD 2008). Rio de Janeiro: IBGE, 2010 [Access on October 22, 2015]. Available from: http://biblioteca.ibge.gov.br/visualizacao/livros/liv44356.pdf
7. Barbosa BR, De Almeida JM, Barbosa MR, Rossi-Barbosa LAR. Avaliação da capacidade funcional dos idosos e fatores associados à incapacidade. Cien Saude Colet. 2014 Ago;19(8):3317-25.
8. Silguero SAA, Martínez-Reig M, Arnedo LG, Martínez GJ, Rizos LR, Soler PA.Enfermedad crónica, mortalidad, discapacidad y pérdida de movilidad en ancianos españoles: estudio FRADEA. Rev Esp Geriatr Gerontol. 2014 Mar-Apri; 49(2):51-58.
9. Pimenta FB, Pinho L, Silveira MF, Botelho ACC. Fatores associados a doenças crônicas em idosos atendidos pela Estratégia de Saúde da Família. Cien Saude Colet[online]. 2015[Access on October 23, 2015]; 20(8):2489-2498. Available from: http://www.scielosp.org/pdf/csc/v20n8/1413-8123-csc-20-08-2489.pdf
10. Campolina AG, Adami F, Santos JLF, Lebrão ML. Effect of the elimination of chronic diseases on disability-free life expectancy among elderly individuals in Sao Paulo, Brazil, 2010. Cien Saude Colet. 2014 Aug; 19(8):3327-3334.
11. Bertolucci PHF, Brucki SMD, Campacci SR, Juliano Y. O mini-exame do estado mental em uma populaçäo geral: impacto da escolaridade. Arq Neuropsiquiatr. 1994 Mar;52(1):1-7.
12. Lino VTS, Pereira SEM, Camacho LAB, Ribeiro Filho ST, Buksman S. Adaptação transcultural da Escala de Independência em Atividades de Vida Diária (Escala de Katz). Cad Saude Publica. 2008 Jan;24(1):103-12.
13. Virtuoso Júnior JS,Guerra RO. Incapacidade funcional em mulheres idosas de baixa renda. Cien Saude Colet. 2011 May;16(5):2541-2548.
14. Almeida OP, Almeida SA. Confiabilidade da versão brasileira da Escala de Depressão em Geriatria (GDS) versão reduzida. Arq Neuropsiquiatr [online]. 1999 [Access on September 11, 2015];57(2b):421-26. Available from: http://www.scielo.br/pdf/anp/v57n2B/1446.pdf
15. Marengoni A, Angleman S, Melis R, Mangialasche F, Karp A, Garmen A. et al. Aging with multimorbidity: a systematic review of the literature. Ageing research reviews. 2011 Mar;10(4):430-39.
16. Dos Santos MB, Ribeiro SA. Dados sociodemográficos e condições de saúde de idosas inscritas no PSF de Maceió, AL. Revista brasileira de geriatria e gerontologia. 2011 Out-Dez; 14(4):613-624.
17. Silva AR, Snaolin V, Nogueira EL, Loureiro F, Engroff P, Gomes I. Doenças crônicas não transmissíveis e fatores sociodemográficos associados a sintomas de depressão em idosos. J Bras Psiquiatr. 2017 Mar; 66(1):45-51.
18. Rizzuto D, Melis RJF, Angleman S, Qiu C, Marengoni A. Effect of Chronic Diseases and Multimorbidity on Survival and Functioning in Elderly Adults. Journal of the American Geriatrics Society. 2017;65(5):1056-1060.
19. Van Den Bussche H, Koller D, Kolonko T, Hansen H, Wegscheider K, Glaeske G. et al. Which chronic diseases and disease combinations are specific to multimorbidity in the elderly? Results of a claims data based cross-sectional study in Germany. BMC Public Health. 2011 Feb; 11(1):1-9.
20. Alves LC, Leimann BCQ, Vasconcelos MEL, Carvalho MS, Vasconcelos AGG, Da Fonseca TCO. et al. A influência das doenças crônicas na capacidade funcional dos idosos do Município de São Paulo, Brasil. Cad Saude Publica [online]. 2007 Aug [Access on July 25, 2015]; 23(8):1924-1930. Available from: http://www.scielo.br/pdf/csp/v23n8/19.pdf
21. Campolina AG, Adami F, Santos JLF, Lebrão ML. A transição de saúde e as mudanças na expectativa de vida saudável da população idosa: possíveis impactos da prevenção de doenças crônicas. Cad Saude Publica. 2013 Jun; 29(6):1217-1229.
22. Scherer R, Scherer F, Conde SR, Dal Bosco SM. Estado nutricional e prevalência de doenças crônicas em idosos de um município do interior do Rio Grande do Sul. Revista brasileira de geriatria e gerontologia. 2013 Out-Dez; 16(4):769-779.
23. Schäfer I, Hansen H, Schon G, Höfels S, Altiner A, Dahlhaus A. et al. The influence of age, gender and socioeconomic status on multimorbidity patterns in primary care. First results from the Multicare Cohort Study. BMC Health Serv Res. 2012 Apr; 12(1):1-15.
24. Pedrazzi EC, Rodrigues RAP, Schiaveto FV. Morbidade referida e capacidade funcional de idosos. Ciência, cuidado e saúde. 2007; 6(4):407-413.
25. Garin N, Olaya B, Moneta MV, Miret M, Lobo A, Ayuso-Mateos JL. et al. Impact of multimorbidity on disability and quality of life in the Spanish older population. PLoS One [online]. 2014 Nov [Access on ugust 22, 2015]; 9(11):1-12. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222819/pdf/pone.0111498.pdf
26. Forjaz MJ, Rodriguez-Blazquez C, Ayala A, Rodriguez-Rodriguez V, De Pedro-Cuesta J, Garcia-Gutierrez S, Prados-Torres A. Chronic conditions, disability, and quality of life in older adults with multimorbidity in Spain. Eur J Intern Med. 2015 Apr; 26(3):176-181.
27. Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Envelhecimento e saúde da pessoa idosa. Brasília: Ministério da Saúde. 2006.
28. Lima-Costa MF, Matos DL, Camargos VP, Macinko J. Tendências em dez anos das condições de saúde de idosos brasileiros: evidências da Pesquisa Nacional por Amostra de Domicílios (1998, 2003,2008). Cien Saude Colet. 2011 Set; 16(9): 3689-3696.
29. Instituto Brasileiro de Geografia e Estatística. Síntese de Indicadores Sociais Uma análise das condições de vida da população brasileira. Rio de Janeiro, 2013 [Access on October 20, 2015]. Available from: http://biblioteca.ibge.gov.br/visualizacao/livros/liv66777.pdf
30. Veras RP. Estratégias para o enfrentamento das doenças crônicas: um modelo em que todos ganham. Revista brasileira de geriatria e gerontologia. 2011 Out-Dez; 14(4):779-78.
31. Prados-Torres A, Calderón-Larrañaga A, Hancco-Saavedra J, Poblador-Plou B, Van Den Akker M. Multimorbidity patterns: A systematic review. J Clin Epidemiol. 2014 Mar; 67(3):254-266.
32. Virtuoso Júnior JS, Guerra RO. Incapacidade funcional em mulheres idosas de baixa renda. Ciência & Saúde Coletiva. 2011 Fev;16(5):2541-48.
33. Júnior EBS, Oliveira LPAB, Da Silva RAR. Doenças crônicas não transmissíveis e a capacidade funcional de idosos. J. res.: fundam. care. online. 2014 Abr;6(2):516-24.
34. Kim, I. Age and gender differences in the relation of chronic diseases to activity of daily living (ADL) disability for elderly South Koreans: based on representative data. J Prev Med Public Health. 2011 Jan; 44(1):32-40.
35. Araújo DD, Azevedo RS, Chianca TCM. Perfil demográfico da população idosa de Montes Claros, Minas Gerais e Brasil. Rev. enferm. Cent.-Oeste Min. 2011; Out-Dez; 1(4):462-469.
36. Lima LCV, Bueno CMLB. Envelhecimento e gênero: a vulnerabilidade de idosas no Brasil. SaudPesq. 2009 Mai-Ago; 2(2):273-280.
37. Pilger C, Menon MU, Mathias TAF. Utilização de serviços de saúde por idosos vivendo na comunidade. Revista da Escola de Enfermagem da USP. 2013 Jun;47(1):2013-20.
38. Fries JF, Bruce B, Chakravarty E. Compression of morbidity 1980-2011: a focused review of paradigms and progress. Journal of Aging Research. 2011 Abr; 1-11. DOI: 10.4061/2011/261702
39. Kramer M. The rising pandemic of mental disorders and associated chronic diseases and disabilities. Acta Psychiatr Scand. 1980; 62(S285):382-97.
40. Veras, RP. Prevenção de doenças em idosos: os equívocos dos atuais modelos. Cad Saude Publica. 2012 Out; 28(10):1834-1840.
41. Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targenting and care. J Gerontol A Biol Sci Med Sci. 2004 Mar; 59(3):255-263.
42. Boing AF, Melo GR, Boing AC, Moretti-Pires RO, Peres KG, Peres MA. Associação entre depressão e doenças crônicas: um estudo populacional. Rev Saude Publica. 2012 Jun; 46(4):617-623.