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      Doenças crônicas não transmissíveis considerando determinantes sociodemográficos em coorte de idosos Translated title: Chronic non-communicable diseases considering sociodemographic determinants in a cohort of older adults

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          Abstract

          Resumo Objetivo Analisar as diferenças entre as proporções de doenças crônicas não transmissíveis (DCNT), em dois momentos, em uma coorte de idosos a partir de determinantes sociodemográficos. Método Trata-se de estudo longitudinal retrospectivo com dados obtidos do Estudo FIBRA linha de base (2008-2009) e seguimento (2016-2017). O teste de McNemar foi utilizado para comparar as frequências de DCNT segundo sexo, idade e escolaridade, com nível de significância de 5% (p<0,05). Resultados A amostra foi composta por 453 idosos (idade média 72±5,2 anos; 69,4% do sexo feminino). Observou-se aumento nas proporções de hipertensão arterial (64,4% versus 71,1%) e diabetes mellitus (21,9% versus 27,5%) no período estudado, e redução nas de doença reumatológica (43,6% versus 35,8%) e depressão (21,7% versus 15,7%). A hipertensão aumentou no sexo feminino, e nos idosos com 65-74 anos e com baixa escolaridade; o diabetes aumentou nos idosos do sexo masculino e nos indivíduos com idade acima de 65 anos e com baixa escolaridade; observou-se redução das proporções de doenças reumatológicas e de depressão no decorrer do estudo nas mulheres, naqueles com 65-74 anos de idade e com nível mais baixo de escolaridade. Conclusão Os dados refletem a necessidade de compreensão dos determinantes sociodemográficos de saúde envolvidos no processo saúde-doença-cuidado para a redução de iniquidades sociais e da carga de DCNT nos segmentos populacionais mais vulneráveis, especialmente na população idosa com multimorbidade.

          Translated abstract

          Abstract Objective To analyze the differences between the proportions of chronic non-communicable diseases (CNCDs) at two time periods, in a cohort of older adults, based on sociodemographic determinants. Method This is a retrospective longitudinal study with baseline data obtained in 2008-2009 and follow-up in 2016-2017, from the FIBRA Study. The McNemar test was used to compare the frequencies of CNCDs according to sex, age, and education, with a significance level of 5% (p<0.05). Results The sample consisted of 453 older adults (mean age 72±5.2 years old; 69.4% women). There was an increase in the proportions of arterial hypertension (64.4% versus 71.1%) and diabetes mellitus (21.9% versus 27.5%) in the periods studied, and a reduction in rheumatologic disease (43.6% versus 35.8%) and depression (21.7% versus 15.7%). Hypertension increased in older women, in those aged 65-74 years old and those with low education levels. Diabetes increased in older men, in those over 65 years of age and those with low education levels. A reduction in the proportions of rheumatologic diseases and depression was observed in women, in those aged 65-74 years old and those with low education levels. Conclusion The data reflect the need to understand the sociodemographic health determinants involved in the health-disease-care process to reduce social inequities and the burden of CNCDs in the most vulnerable population segments, especially in the older adult population with multimorbidity.

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          Most cited references35

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          Global Disparities of Hypertension Prevalence and Control: A Systematic Analysis of Population-Based Studies From 90 Countries.

          Hypertension is the leading preventable cause of premature death worldwide. We examined global disparities of hypertension prevalence, awareness, treatment, and control in 2010 and compared secular changes from 2000 to 2010.
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            Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women

            Summary Background In 2011, WHO member states signed up to the 25 × 25 initiative, a plan to cut mortality due to non-communicable diseases by 25% by 2025. However, socioeconomic factors influencing non-communicable diseases have not been included in the plan. In this study, we aimed to compare the contribution of socioeconomic status to mortality and years-of-life-lost with that of the 25 × 25 conventional risk factors. Methods We did a multicohort study and meta-analysis with individual-level data from 48 independent prospective cohort studies with information about socioeconomic status, indexed by occupational position, 25 × 25 risk factors (high alcohol intake, physical inactivity, current smoking, hypertension, diabetes, and obesity), and mortality, for a total population of 1 751 479 (54% women) from seven high-income WHO member countries. We estimated the association of socioeconomic status and the 25 × 25 risk factors with all-cause mortality and cause-specific mortality by calculating minimally adjusted and mutually adjusted hazard ratios [HR] and 95% CIs. We also estimated the population attributable fraction and the years of life lost due to suboptimal risk factors. Findings During 26·6 million person-years at risk (mean follow-up 13·3 years [SD 6·4 years]), 310 277 participants died. HR for the 25 × 25 risk factors and mortality varied between 1·04 (95% CI 0·98–1·11) for obesity in men and 2 ·17 (2·06–2·29) for current smoking in men. Participants with low socioeconomic status had greater mortality compared with those with high socioeconomic status (HR 1·42, 95% CI 1·38–1·45 for men; 1·34, 1·28–1·39 for women); this association remained significant in mutually adjusted models that included the 25 × 25 factors (HR 1·26, 1·21–1·32, men and women combined). The population attributable fraction was highest for smoking, followed by physical inactivity then socioeconomic status. Low socioeconomic status was associated with a 2·1-year reduction in life expectancy between ages 40 and 85 years, the corresponding years-of-life-lost were 0·5 years for high alcohol intake, 0·7 years for obesity, 3·9 years for diabetes, 1·6 years for hypertension, 2·4 years for physical inactivity, and 4·8 years for current smoking. Interpretation Socioeconomic circumstances, in addition to the 25 × 25 factors, should be targeted by local and global health strategies and health risk surveillance to reduce mortality. Funding European Commission, Swiss State Secretariat for Education, Swiss National Science Foundation, the Medical Research Council, NordForsk, Portuguese Foundation for Science and Technology.
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              Socioeconomic status and multimorbidity: a systematic review and meta-analysis

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                Author and article information

                Journal
                rbgg
                Revista Brasileira de Geriatria e Gerontologia
                Rev. bras. geriatr. gerontol.
                Universidade do Estado do Rio Janeiro (Rio de Janeiro, RJ, Brazil )
                1809-9823
                1981-2256
                2022
                : 25
                : 5
                : e210204
                Affiliations
                [3] Brasília Distrito Federal orgnameUniversidade de Brasília orgdiv1Faculdade de Ciências da Saúde Brazil
                [2] São Paulo São Paulo orgnameUniversidade de São Paulo orgdiv1Escola de Artes Brazil
                [1] Campinas São Paulo orgnameUniversidade Estadual de Campinas orgdiv1Programa de Pós-Graduação em Gerontologia da Faculdade de Ciências Médicas Brazil
                Article
                S1809-98232022000500202 S1809-9823(22)02500500202
                10.1590/1981-22562022025.210204.pt
                e9552c77-6ff3-4c20-bbeb-8b14a9b2da64

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 22 December 2021
                : 05 October 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Brazil

                Categories
                Artigos Originais

                Doença Crônica,Saúde do Idoso,Epidemiologia,Doenças crônicas não-transmissíveis,Idoso,Chronic Disease,Health of the Elderly,Epidemiology,Noncommunicable Diseases,Elderly

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