Childhood health and educational disadvantage are associated with adult multimorbidity in the global south: findings from a cross-sectional analysis of nationally representative surveys in India and Brazil.

INTRODUCTION: Multimorbidity has emerged as a major healthcare challenge in low/middle-income countries (LMICs) such as India and Brazil. Life course epidemiology suggests that adverse events in early life contribute to an individual's later health in adulthood. However, little is known about the influence of early life health and social factors on the development of multimorbidity in adulthood in LMICs. We aimed to explore the association of adult multimorbidity with childhood health and social disadvantages among two LMICs, India and Brazil. METHODS: We conducted a secondary data analysis of older adults aged ≥50 years using nationally representative surveys from Longitudinal Ageing Study in India, 2017-2018 (n=51 481) and 'Estudo Longitudinal da Saude e Bem-Estar dos Idosos Brasileirous', 2015-2016 (n=8730). We estimated the prevalence of multimorbidity along with 95% CI as a measure of uncertainty for all weighted proportions. Log link in generalised linear model was used to assess the association between childhood health and disadvantages with multimorbidity, reported as adjusted prevalence ratio (APR). RESULTS: The prevalence of multimorbidity was 25.53% and 55.24% in India and Brazil, respectively. Participants who perceived their childhood health as poor and missed school for a month or more due to illness had the highest level of multimorbidity across both countries. After adjusting for age and gender, a significant association between adult multimorbidity and poor self-rated childhood health (APR: (India: 1.38, 1.16 to 1.65) and (Brazil: 1.19, 1.09 to 1.30)); and missed school for a month due to illness (AOR: (India: 1.73, 1.49 to 2.01) and (Brazil: 1.16, 1.08 to 1.25)) was observed. CONCLUSION: Early life health, educational and economic disadvantages are associated with adult multimorbidity and appear to contribute to the later course of life. A life course approach to the prevention of multimorbidity in adulthood in LMICs may be useful in health programmes and policies.

Socioeconomic and sex inequalities in chronic pain: A population-based cross-sectional study.

OBJECTIVE: We investigated the impact of socioeconomic inequalities on chronic pain of older adults according to sex. MATERIALS AND METHODS: This population-based cross-sectional study used survey data from the 2015 cohort of the SABE Study (Saúde, Bem-estar e Envelhecimento), Brazil. Socioeconomic status was examined at individual level (educational attainment, financial independence, and race/skin color) and contextual level (Human Development Index). We analyzed the association between variables using the chi-square test and the Rao & Scott correction. Logistic regression models were adjusted for risk factors. RESULTS: The study comprised 1,207 older adults representing 1,365,514 residents 60≥ years of age in the city of São Paulo. Chronic pain was more frequent in females (27.2%) than in males (14.5%) (p<0.001). Females evidenced the worst self-perception of pain, especially those of the most vulnerable socioeconomic strata. Social inequalities impacted chronic pain in different ways between sexes. Among females, unfavorable living conditions (OR = 1.59; 95%CI 1.07; 2,37) and Blacks/Browns females were most likely to have chronic pain (OR = 1.32; 95%CI 1.01; 1.74). Among males, only the individual aspects were significant for the occurrence of chronic pain, such as low educational attainment (OR = 1.88; 95%CI 1.16; 3.04) and insufficient income (OR = 1.63; 95%CI 1.01; 2.62). DISCUSSION: The potential for inequality was greater for females than for males reflecting structural factors inherent in a highly unequal society. Conclusions: Equity-oriented health policies are critical to preventing pain in human aging.

Difficulties in accessing health services among the elderly in the city of São Paulo-Brazil.

To identify difficulties in accessing health services by the elderly in the city of São Paulo/Brazil and the contributory factors that reflect inequalities. This is a cross-sectional study that used data from the Health, Well-being and Aging Study (SABE). The population is composed of elderly ≥ 60 years old, of both sexes, living in the urban area of São Paulo. For this analysis, we used data from the 2015 cohort of the SABE study, containing a sample of 1,221 individuals. The proportions of access difficulty and, through logistic regression, the associated factors were verified, based on Andersen's Behavioral Model, which considers factors of predisposition, enabling and need as individual determinants of access to health care. It was observed that 37.0% of the elderly reported difficulty accessing health services when they needed it. This difficulty was greatest among females (42.3%), aged 60 to 69 years (40.9%), black race/color (58.8%), illiterate (44.5%), single/separated/divorced (44.3%), with income slower than one salary minimum (46.8%), without health insurance (51.9%), with poor/very poor self-assessment of health (54.7%), with multimorbidity (40.1%), frail (47.2%) and among those who used polypharmacy (40.8%). After multivariate analysis, in the final model, there was a positive association between difficulty of access and predisposing factors (female gender, age group 60 to 69 years, black race/color, illiterate), enabling factors (possession of health insurance) and need factors (regular and poor/very poor self-assessment of health and pre-fragility and frailty condition). The presence of difficulty in access associated with predisposing, enabling and need factors reflect the existence of inequalities caused by barriers that point to weaknesses in the organization of services. The identification of these barriers that hinder access highlights important points that can have an impact on the equity and resolution of care.

Occurrence and inequalities by education in multimorbidity in Brazilian adults between 2013 and 2019: evidence from the National Health Survey.

OBJECTIVE: The aims of this study were: 1) to estimate the prevalence of multimorbidity in 2013 and 2019 in adults aged 20-59 years; 2) to assess inequalities in the prevalence of multimorbidity in 2013 and 2019 according to educational level. METHODS: Data from two cross-sectional surveys from the Brazilian National Health Survey in 2013 and 2019 were used. Multimorbidity was assessed from 14 lifetime self-reported morbidities (except back problems) and defined using the cutoff point of ≥2 diseases. The prevalence of multimorbidity and individual morbidities were described according to gender, age, skin color, and education. For education, crude, and relative inequalities in prevalence of multimorbidity were calculated using the Slope Index of Inequality and the Concentration Index, respectively. RESULTS: The prevalence of multimorbidity increased from 18.7% (95%CI 18.0-19.3) in 2013 to 22.3% (95%CI 21.7-22.9) in 2019, being higher among women and adults between 30-59 years in both periods. Asthma/bronchitis, depression, and back problems were the conditions that increased the most in the study period. Absolute and relative inequalities by education status were observed in the study period, with worse multimorbidity profiles among the less educated. CONCLUSION: The prevalence of multimorbidity increased between 2013 and 2019. Inequalities in the prevalence of multimorbidity were observed according to educational level.

Occurrence and inequalities by education in multimorbidity in Brazilian adults between 2013 and 2019: evidence from the National Health Survey / Ocorrência e desigualdades por escolaridade em multimorbidade em adultos brasileiros entre 2013 e 2019: evidências da Pesquisa Nacional de Saúde

ABSTRACT: Objective: The aims of this study were: 1) to estimate the prevalence of multimorbidity in 2013 and 2019 in adults aged 20-59 years; 2) to assess inequalities in the prevalence of multimorbidity in 2013 and 2019 according to educational level. Methods: Data from two cross-sectional surveys from the Brazilian National Health Survey in 2013 and 2019 were used. Multimorbidity was assessed from 14 lifetime self-reported morbidities (except back problems) and defined using the cutoff point of ≥2 diseases. The prevalence of multimorbidity and individual morbidities were described according to gender, age, skin color, and education. For education, crude, and relative inequalities in prevalence of multimorbidity were calculated using the Slope Index of Inequality and the Concentration Index, respectively. Results: The prevalence of multimorbidity increased from 18.7% (95%CI 18.0-19.3) in 2013 to 22.3% (95%CI 21.7-22.9) in 2019, being higher among women and adults between 30-59 years in both periods. Asthma/bronchitis, depression, and back problems were the conditions that increased the most in the study period. Absolute and relative inequalities by education status were observed in the study period, with worse multimorbidity profiles among the less educated. Conclusion: The prevalence of multimorbidity increased between 2013 and 2019. Inequalities in the prevalence of multimorbidity were observed according to educational level.

RESUMO: Objetivos: Os objetivos do presente estudo foram: 1) estimar a prevalência de multimorbidade nos anos de 2013 e 2019 em adultos de 18 a 59 anos; 2) avaliar as desigualdades na prevalência de multimorbidade em 2013 e 2019, de acordo com a escolaridade. Métodos: Foram utilizados dados de dois inquéritos transversais da Pesquisa Nacional de Saúde de 2013 e 2019. A multimorbidade foi avaliada a partir de 14 morbidades autorreferidas a partir de diagnóstico médico na vida (exceto problema na coluna) e definida usando-se o ponto de corte de ≥ 2 doenças. As prevalências de multimorbidade e morbidades individuais foram descritas de acordo com sexo, idade, cor da pele e escolaridade. Desigualdades brutas e relativas nas prevalências conforme a escolaridade foram calculadas utilizando-se o Slope Index of Inequality e o Concentration Index, respectivamente. Resultados: A prevalência de multimorbidade aumentou de 18,7% (IC95% 18,0-19,3), em 2013, para 22,3% (IC95% 21,7-22,9), em 2019, sendo maior entre mulheres e adultos entre 30 e 59 anos em ambos os períodos. Asma/bronquite, depressão e problemas na coluna foram as condições que mais aumentaram no período. Desigualdades absolutas e relativas foram observadas, com prevalências superiores entre os menos escolarizados e sem diferença entre os anos. Conclusões: A prevalência de multimorbidade aumentou no período de 2013 a 2019. Desigualdades na prevalência de multimorbidade foram observadas de acordo com a escolaridade.

Racial inequities and aging: analysis of the 2010 cohort of the Health, Welfare and Aging Study (SABE). / Iniquidades raciais e envelhecimento:análise da coorte 2010 do Estudo Saúde,Bem-Estar e Envelhecimento (SABE).

INTRODUCTION: Understanding racial disparities in Brazil has been very complex and poorly investigated in some population segments, such as the elderly individuals. OBJECTIVE: This study aimed to present descriptively a comparative analysis in a racial perspective of sociodemographic profile, health conditions, and health service use by older people in the city of São Paulo. METHODS: This is a cross-sectional analysis of the Health, Welfare and Aging Study (SABE). For this study, 1,345 elderly individuals were considered in the cohort of 2010. Data about the black, brown, and white elders were selected. The data were addressed in three major axes: sociodemographic, health conditions, and health service use. The chosen epidemiological measure of association was the prevalence ratio (PR), as well as the percentage values for expressing differences among the groups. RESULTS AND CONCLUSION: The results showed a more favorable scenario for the aging of the white elderly compared to those of brown or black color, considering sociodemographic indicators, health conditions or use and access to health services.

INTRODUÇÃO: Entender as disparidades raciais no Brasil tem sido algo bastante complexo e pouco investigado em alguns segmentos populacionais, como na população idosa. OBJETIVO: Objetivou-se apresentar de forma descritiva uma análise comparativa, numa perspectiva racial, do perfil sociodemográfico, das condições de saúde e de uso de serviços de saúde dos idosos da cidade de São Paulo, SP. MÉTODOS: Trata-se de uma análise transversal do Estudo Saúde, Bem-Estar e Envelhecimento (SABE). Para o presente trabalho, foram considerados 1.345 idosos da coorte de 2010. Selecionaram-se os dados referentes aos idosos de cor preta, parda e branca. Abordaram-se os dados em três eixos essenciais: sociodemográficos, condições de saúde e uso e acesso a serviços de saúde. A medida epidemiológica de associação escolhida foi a razão de prevalência (RP), para expressar as diferenças entre os grupos. RESULTADOS E CONCLUSÃO: Os resultados evidenciaram um cenário mais favorável para o envelhecimento dos idosos de cor branca em comparação com aqueles de cor parda ou preta, no tocante aos indicadores sociodemográficos, às condições de saúde ou de uso e ao acesso a serviços de saúde.

Iniquidades raciais e envelhecimento: análise da coorte 2010 do Estudo Saúde, Bem-Estar e Envelhecimento (SABE) / Racial inequities and aging: analysis of the 2010 cohort of the Health, Welfare and Aging Study (SABE)

Introdução: Entender as disparidades raciais no Brasil tem sido algo bastante complexo e pouco investigado em alguns segmentos populacionais, como na população idosa. Objetivo: Objetivou-se apresentar de forma descritiva uma análise comparativa, numa perspectiva racial, do perfil sociodemográfico, das condições de saúde e de uso de serviços de saúde dos idosos da cidade de São Paulo, SP. Métodos: Trata-se de uma análise transversal do Estudo Saúde, Bem-Estar e Envelhecimento (SABE). Para o presente trabalho, foram considerados 1.345 idosos da coorte de 2010. Selecionaram-se os dados referentes aos idosos de cor preta, parda e branca. Abordaram-se os dados em três eixos essenciais: sociodemográficos, condições de saúde e uso e acesso a serviços de saúde. A medida epidemiológica de associação escolhida foi a razão de prevalência (RP), para expressar as diferenças entre os grupos. Resultados e conclusão: Os resultados evidenciaram um cenário mais favorável para o envelhecimento dos idosos de cor branca em comparação com aqueles de cor parda ou preta, no tocante aos indicadores sociodemográficos, às condições de saúde ou de uso e ao acesso a serviços de saúde.

Iniquidades raciais e envelhecimento: análise da coorte 2010 do Estudo Saúde, Bem-Estar e Envelhecimento (SABE) / Racial inequities and aging: analysis of the 2010 cohort of the Health, Welfare and Aging Study (SABE)

RESUMO: Introdução: Entender as disparidades raciais no Brasil tem sido algo bastante complexo e pouco investigado em alguns segmentos populacionais, como na população idosa. Objetivo: Objetivou-se apresentar de forma descritiva uma análise comparativa, numa perspectiva racial, do perfil sociodemográfico, das condições de saúde e de uso de serviços de saúde dos idosos da cidade de São Paulo, SP. Métodos: Trata-se de uma análise transversal do Estudo Saúde, Bem-Estar e Envelhecimento (SABE). Para o presente trabalho, foram considerados 1.345 idosos da coorte de 2010. Selecionaram-se os dados referentes aos idosos de cor preta, parda e branca. Abordaram-se os dados em três eixos essenciais: sociodemográficos, condições de saúde e uso e acesso a serviços de saúde. A medida epidemiológica de associação escolhida foi a razão de prevalência (RP), para expressar as diferenças entre os grupos. Resultados e conclusão: Os resultados evidenciaram um cenário mais favorável para o envelhecimento dos idosos de cor branca em comparação com aqueles de cor parda ou preta, no tocante aos indicadores sociodemográficos, às condições de saúde ou de uso e ao acesso a serviços de saúde.

ABSTRACT: Introduction: Understanding racial disparities in Brazil has been very complex and poorly investigated in some population segments, such as the elderly individuals. Objective: This study aimed to present descriptively a comparative analysis in a racial perspective of sociodemographic profile, health conditions, and health service use by older people in the city of São Paulo. Methods: This is a cross-sectional analysis of the Health, Welfare and Aging Study (SABE). For this study, 1,345 elderly individuals were considered in the cohort of 2010. Data about the black, brown, and white elders were selected. The data were addressed in three major axes: sociodemographic, health conditions, and health service use. The chosen epidemiological measure of association was the prevalence ratio (PR), as well as the percentage values for expressing differences among the groups. Results and conclusion: The results showed a more favorable scenario for the aging of the white elderly compared to those of brown or black color, considering sociodemographic indicators, health conditions or use and access to health services.

Perfil de saúde bucal de idosos não institucionalizados e sua associaçãocom autoavaliação da saúde bucal / Oral health profile among community-dwellingelderly and its association with self-rated oral health

RESUMO: Introdução: O uso de prótese e a perda dentária em idosos estão associados a impactos significativos na saúde geral e na qualidade de vida. A avaliação contínua do perfil de saúde bucal dessa população é importante para o planejamento das ações e políticas da área. Objetivo: Foram objetivos deste trabalho avaliar a prevalência de perda dentária e uso de próteses entre idosos em diferentes períodos, verificar as características sociodemográficas associadas à dentição funcional (mais de 20 dentes) e avaliar o impacto do uso de prótese e da perda dentária na autoavaliação da saúde bucal. Métodos: A amostra foi composta por pessoas de 60 anos ou mais, participantes do Estudo Saúde, Bem-Estar e Envelhecimento (SABE). A avaliação da prevalência de perda dental e uso de próteses foi feita a partir da comparação dos dados coletados nos anos de 2000, 2006 e 2010. As análises dos fatores associados à dentição funcional e autoavaliação de saúde bucal foram realizadas com base nos dados coletados no ano de 2010. A comparação do perfil de saúde bucal ao longo dos três períodos foi feita por meio de análises descritivas e comparação de intervalos de confiança. Realizou-se análise de regressão logística múltipla para avaliar os fatores associados à dentição funcional e à autoavaliação da saúde bucal. Resultados: A prevalência de perda dental e uso de próteses se manteve constante ao longo dos três anos analisados. A dentição funcional foi significativamente associada à escolaridade, sexo e cor/gênero. Idosos com necessidade de próteses e bolsa periodontal apresentaram mais chances de autoavaliação ruim. Conclusão: Não houve redução da prevalência de perda dentária e uso de próteses ao longo de dez anos na população estudada. A dentição funcional está associada a desigualdades sociodemográficas. A autoavaliação de saúde bucal está associada à necessidade de próteses.

ABSTRACT: Introduction: The use of dental prosthesis and the tooth loss in elderly people are associated with significant impact on the overall health and quality of life. Continuous assessment of oral health profile in this population is important for planning the actions and policies of the area. Objectives: The aims of this study were to assess the prevalence of tooth loss and use of dental prosthesis among the elderly people in different periods, to evaluate the association between functional dentition (20 teeth or more) and socioeconomic factors, and to evaluate the impact of tooth loss and use of dental prosthesis on self-rated oral health. Methods: Thesample consisted of people aged 60 years and older who participated in the Health, Well-Being, and Aging Study (SABE). Data from the years 2000, 2006, and 2010 were used to assess the prevalence of tooth loss and use of dental prosthesis. Analysis of the factors associated with the functional dentition and self-rated oral health was based on the data collected in 2010. Comparison of oral health profile over the 3 years was done through descriptive analysis and comparison of confidence intervals. Multiple logistic regression models were used to assess the factors associated with functional dentition and self-rated oral health. Results: The prevalence of tooth loss and use of dental prosthesis remained constant over the three periods analyzed. Functional dentition was significantly associated with education, sex, and race/gender. Individuals in need of dental prosthesis and with periodontal pocket were more likely to report poor oral health. Conclusion: There was no reduction in the prevalence of tooth loss and in the use of dental prosthesis over 10 years. Functional dentition is associated with socioeconomic inequalities. Self-rated oral health is associated with the need of dental prosthesis.