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OBJECTIVES: This manuscript aims to understand the association between self-rated health and ethnic-racial characteristics (i.e., skin color, self-ascription, and Indigenous language) in the context of the Mexican population. DESIGN: Logistic regression analyses, using the 2019 PRODER (N = 7187)-a representative survey at the national level. We centered the analysis on two measures of skin color: the interviewer assessment of color skin (that has been used in previous studies), and the ITA scale, a measure constructed from optical digital colorimeter readings (a novel method in ethnoraciality studies in Mexico, included in the PRODER survey). RESULTS: In comparison to the interviewer's assessment of skin color, the ITA score shows a significant association with self-rated health, even in the presence of individual conditions, sociodemographic traits, and life-course events. In contrast, ethnic-racial self-ascriptions and speaking of an Indigenous language do not show any statistical associations. CONCLUSION: Contrary to previous research, our results suggest a positive association between skin color and self-rated health, when the former is assessed with the colorimeter readings; it means that those with lighter color skin are more prone to report a better health perception. It has methodological implications in the way skin color is observed.

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PURPOSE: Understanding self-rated health in young people can help orient global health actions, especially in regions of social vulnerability. The present study analysed individual and contextual factors associated with self-rated health in a sample of Brazilian adolescents. DESIGN AND METHODS: Cross-sectional data from 1272 adolescents (aged 11-17; 48.5% of girls) in low human development index (HDI) neighbourhoods were analysed (HDI from 0.170 to 0.491). The outcome variable was self-rated health. Independent variables relating to individual factors (biological sex, age and economic class) and lifestyle (physical activity, alcohol, tobacco consumption and nutritional state) were measured using standardised instruments. The socio-environmental variables were measured using neighbourhood registered data where the adolescents studied. Multilevel regression was used to estimate the regression coefficients and their 95% confidence intervals (CI). RESULTS: Good self-rated health prevalence was of 72.2%. Being male (B: -0.165; CI: -0.250 to -0.081), age (B: -0.040; CI: -0.073 to -0.007), weekly duration of moderate to vigorous physical activity (B: 0.074; CI: 0.048-0.099), body mass index (B: -0.025; CI: -0.036 to -0.015), number of family healthcare teams in the neighbourhood (B: 0.019; CI: 0.006-0.033) and dengue incidence (B: -0.001; CI: -0.002; -0.000) were factors associated with self-rated health among students from vulnerable areas. CONCLUSIONS/PRACTICAL IMPLICATIONS: Approximately three in every 10 adolescents in areas of social vulnerability presented poor self-rated health. This fact was associated with biological sex and age (individual factors), physical activity levels and BMI (lifestyle) and the number of family healthcare teams in the neighbourhood (contextual).

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Objective: To investigate whether having a higher number of depressive symptoms is associated with negative self-rated health (SRH) even in the absence of illness. Methods: This is a secondary analysis of baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2015-2016, using a national sample of 9,412 people aged 50 or over. SRH was dichotomized into poor or very poor and very good or excellent, good, or average. Depressive symptoms were assessed through the eight-item Center for Epidemiologic Studies Depression Scale (CES-D8). Sociodemographic variables, information about unhealthy behaviors, and the number of chronic conditions were also analyzed. Results: Having depressive symptoms was strongly associated with poor or very poor SRH both in the unadjusted and adjusted analyses. The magnitude of the association was reduced when the number of chronic illnesses was included in the multivariate analysis, along with the other sociodemographic variables and unhealthy behaviors (OR 1.35, 95%CI 1.31-1.39). Conclusion: Having depressive symptoms may contribute towards having a poorer perception of health, even in the absence of health conditions. SRH is a multidimensional construct that can accurately reflect a person's state of general mental health.

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OBJECTIVE: This study investigates whether having a higher number of depressive symptoms is associated with negative self-rated health even in the presence of illnesses. METHODS: This is a secondary analysis of the baseline data from the Longitudinal Study of the Health of Elderly Brazilians (ELSI - Brazil), conducted in 2015-2016, using a national sample of 9,412 people aged 50 or over. Self-rated health was dichotomized into "bad or very bad" and "very good or excellent, good or average". Depressive symptoms were assessed through the eight-item Center for Epidemiologic Studies Depression (CES-D8). Sociodemographic variables, information about unhealthy behaviours, and the number of chronic conditions were also analysed. RESULTS: Having depressive symptoms was strongly associated with bad or very bad self-rated health both in the unadjusted and adjusted analyses. There was a reduction in the magnitude of the association when the number of chronic illnesses was included in the multivariate analysis, along with the other sociodemographic variables and unhealthy behaviours (OR 1,35 95% CI 1,31 - 1,39). CONCLUSION: Having depressive symptoms may contribute towards having a poorer perception of health, even in the absence of health conditions. Self-rated health is a multidimensional construct that can accurately reflect a person's state of general mental health.

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BACKGROUND: The regulation of working hours is governed by legal standards in formal employment. While the association between long working hours and various health outcomes has been extensively studied, there is limited evidence regarding Brazil. The objective of this study was to investigate the association among working hours, employment status, and self-rated health (SRH), taking into account differences between men and women in a national representative sample of the working population in Brazil. METHODS: A cross-sectional study was conducted among a representative sample of 33,713 workers in Brazil to assess self-rated health (SRH). We examined the associations between working hours and employment status, categorizing working hours as standard (40-44 h per week) or long (> 44 h per week), and employment status as formal or informal. Logistic regression models were employed, adjusting for sociodemographic, occupational characteristics, and health behaviors. Probabilities of negative SRH were calculated for men and women in different exposure profiles. Results were stratified by gender, and 95% confidence intervals (CIs) were applied to the findings. RESULTS: The prevalence of long working hours was higher among informal workers for both men and women. Adjusted odds ratio (AOR) results revealed that informal employment (AORwomen = 1.53; 95% CI: 1.13-2.07 and AORmen = 1.55; 95% CI: 1.22-1.96) and long working hours (AORwomen = 1.23; 95% CI: 1.06-1.43 and AORmen = 1.14; 95% CI: 1.00-1.30) were independently associated with negative SRH. Significant interactions between long working hours and informal employment were observed. Among individuals with the same exposure profile, women who engaged in long working hours had a higher probability of reporting negative SRH compared to men. CONCLUSIONS: The results of this study are in line with the literature, as differences between men and women in the likelihood of negative self-rated health were observed. The adverse health effects underscore the importance of implementing intersectoral actions to inform the revision of regulations concerning weekly working hours and the expansion of informal employment in low- and middle-income countries.

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The debate over urban-rural health disparities in Latin American countries is disputed, and this relationship may not be as straightforward as initially thought. In this study, we investigate whether individual-level self-rated health (SRH) varies across urban and rural populations in the country and how sociodemographic attributes are associated with such differences. We relied on data from the Brazilian National Health Survey (n = 78,806), a nationwide household-based survey conducted in 2019 that is representative of Brazil, geopolitical macro-regions, states, and 27 state capitals. Logistic regression models were used to test for differences in SRH between urban and rural inhabitants. The findings suggest that Brazilian adults living in rural areas are at a higher risk of perceiving their health as poor than their urban counterparts. The urban-rural health disparities are significant and influenced by sociodemographic attributes, highlighting the importance of developing public health interventions to improve health outcomes in these populations.

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BACKGROUND: The COVID-19 pandemic created challenges in accessing food, water, medications, and healthcare services some of which are linked with lower self-rated health (SRH). These challenges have already been documented in the US, but it remains unknown how the pandemic affected access to food, water, medications and healthcare services, and how these challenges relate to SRH in this group, a population experiencing profound health disparities and limited resources prior to the pandemic. OBJECTIVE: To assess associations between challenges accessing food, water, healthcare, and medications during the COVID-19 pandemic and SRH among adults in Puerto Rico. METHODS: Cross-sectional analysis of Puerto Rico-CEAL. Adults (>18 years; n=582) completed an online survey (December 30, 2021-February 8, 2022). Presence of each challenge during the past 30 days was measured and analyzed individually and combined (0, 1, >2). SRH (rated from poor-excellent) was measured before and at pandemic. Change in SRH was calculated. Adjusted Poisson models with robust variance errors estimated prevalence ratios (PR). RESULTS: Experiencing food, water, medication, and healthcare challenges (vs. not) were associated with pandemic fair-poor SRH (PR=1.44, 95%CI=1.06-1.97; PR=1.59, 95%CI=1.15-2.18; PR=1.38, 95%CI=1.05-1.81; and PR=1.56,9 5%CI=1.15-2.12, respectively). Experiencing 2+ challenges (vs. none) was associated with pandemic fair-poor SRH (PR=1.77, 95%CI=1.22-2.55). Additionally, experiencing food, medication, and healthcare challenges (vs. not) was associated with decreased SRH (PR=1.35, 95%CI=1.08-1.69; PR=1.24, 95%CI=1.01-1.51; and PR=1.25, 95%CI=1.01-1.54, respectively), as well as experiencing 2+ challenges (vs. none; PR =1.49, 95%CI=1.15-1.92). CONCLUSION: Challenges accessing food, water, medications, and healthcare services during the pandemic were associated with fair-poor SRH and decreased SRH in Puerto Rico. Public health policy should ensure access to basic needs.

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BACKGROUND: Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics. METHODS: This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used "In general, compared to people your age, how do you rate your own state of health?" to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression. RESULTS: It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009-3.720) or D/E (OR = 2.280; 95% CI = 1.178-4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086-2.008), multimorbidity (OR = 1.715; 95% CI = 1.201-2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097-2.751) were risk factors for worse self-rated health. CONCLUSION: It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population. TRIAL REGISTRATION: This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent.

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Older adults who experience natural disasters are at risk for immediate and longer-term negative health outcomes and diminished quality of life (QOL), in part due to disruptions to social relationships and protections. We use a risk and resilience framework to examine the protective effects of psychological sense of community (PSOC) on self-rated health (SRH) and QOL for older adults in Puerto Rico 2 years after the devastation of Hurricane María in 2017. Between September 2019 and January 2020, we conducted face-to-face interviews with a nonprobability sample of 154 community-dwelling adults aged 60+ in Puerto Rico. Controlling for covariates, we used multivariate regression to examine the association of PSOC and key social risk factors (mental health, social isolation, and loneliness) with SRH and QOL. Higher levels of PSOC were significantly associated with better SRH and QOL. Regarding risks, worse mental health was significantly associated with lower QOL and SRH, loneliness was significantly related to worse QOL, and social isolation was significantly associated with better SRH and better QOL. PSOC was a protective factor for older adults, suggesting that prevention and intervention efforts should focus on building and sustaining older adults' sense of community in the longer-term wake of natural disasters.

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Introduction: Latinos report lower self-rated health (SRH) than non-Hispanic White persons. However, the association between SRH and medically diagnosed chronic diseases (MDCDs) remains understudied in Latino populations. This study assessed the relationship between a single-item SRH indicator and MDCD status among predominantly Latino adults in Puerto Rico. Methods: Participants (30-75 years; n=965) of the Puerto Rico Observational Study of Psychosocial, Environmental, and Chronic Disease Trends (PROSPECT) reported SRH (excellent/very good, good, or fair/poor) and MDCD (ever vs never). We performed multivariate logistic regressions to evaluate the association between SRH and MDCD, which adjusted for key socioeconomic, demographic, and behavioral confounders. Results: Twenty-seven percent of participants reported excellent/very good SRH, 39% good, and 34% fair/poor. Participants with fair/poor SRH (vs excellent/very good) were more likely to report MDCD for painful inflammation (odds ratio [OR]=4.95 [95% CI, 3.27-7.48]), kidney disease (4.64 [2.16-9.97]), sleep disorder (4.47 [2.83-7.05]), migraine headaches (4.07 [2.52-6.58]), overweight/obesity (3.84 [2.51-5.88]), depression (3.61 [2.28-5.74]), hypertension (3.59 [2.43-5.32]), high blood sugar (3.43 [2.00-5.89]), cardiovascular disease (3.13 [2.01-4.87]), anxiety (2.87 [1.85-4.44]), arthritis (2.80 [1.83-4.30]), diabetes (2.46 [1.57-3.83]), respiratory problems (2.45 [1.59-3.79]), stomach problems (2.44 [1.57-3.81]), eye disease (2.42 [1.44-4.06]), gallbladder disease (2.34 [1.35-4.05]), liver disease (2.26 [1.38-3.70]), heartburn (2.25 [1.55-3.26]), hyperlipidemia (2.10 [1.44-3.06]), and thyroid conditions (2.04 [1.30-3.21]). Conclusions: SRH may reflect MDCD burden and serve as a valid screener to efficiently identify Latino individuals in high need of clinical services. This is relevant in Puerto Rico, where chronic disease rates remain high amid limited, disparate access to health care.

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Family relationships play a central role in wellbeing among older adults in Chile. Based on the theory of social production functions, this study examined the relationship between perceived social support from children, partners and relatives, family functioning, self-perceived health and quality of life (QoL) among Chilean older adults. The study used a multi-ethnic sample of Chilean older adults living in rural areas in the regions of Arica and Parinacota (north) and Araucanía (south). A model was analyzed that emphasizes relationships differentiated by the source of support, family functioning and self-perceived health in the explanation of QoL. The results obtained from the structural equation modelling (SEM) analysis showed the existence of indirect relationships of social support from children, partners and other family members via family functioning, while self-perceived health was directly associated with QoL. The findings indicate that family functioning is a main variable in the contrasted model, in addition to confirming the importance of distinguishing the role of the various sources of support. Research is needed to examine in detail intergenerational relationships and other relationships with family members who are significant in the wellbeing of older adults. This research corroborates that family relationships have a specificity that needs to be addressed in gerontological social intervention, as well as continuing along the lines of strengthening or improving existing family ties (more quality) over the quantity of social relationships.

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Resumo Introdução A Autopercepção da Saúde Bucal (ASB) é uma importante variável subjetiva associada à procura por serviços odontológicos e determinada por diversos fatores. Objetivo O objetivo deste trabalho foi investigar associações entre a ASB, o Letramento em Saúde Bucal (LSB) e covariáveis, em usuários da Atenção Básica. Método A amostra foi composta por 366 adultos e idosos, moradores em territórios adscritos a uma unidade de equipe de Saúde da Família (eSF) do município de Piracicaba, que procuraram por tratamento odontológico no ano de 2019 e que aceitaram participar da pesquisa. Aplicou-se o instrumento Health Literacy in Dentistry (HeLD-14) para avaliação do LSB, bem como um questionário para investigar características sociodemográficas e da ASB. Ademais, exames intrabucais foram realizados. Realizaram-se análises de regressões logísticas simples e múltipla, para se avaliar o nível de associação entre a variável ASB e as variáveis preditoras. Resultados Pacientes com menor escore de LSB, pior Autopercepção da Saúde Geral e com mais de um dente perdido tiveram, respectivamente, 2,73 (IC95%: 1,62-4,61), 14,24 (IC95%: 7,41-27,38) e 2,93 (IC95%: 1,76-4,89) vezes mais chance de apresentar pior ASB (p<0,05). Conclusão A ASB é um constructo associado a diversas variáveis não clínicas, incluindo o LSB.

Abstract Background The Self-Rated Oral Health (SROH) is an important subjective variable associated with the demand for dental services and determined by several factors. Objective The objective of this work was to investigate associations between SROH, Oral Health Literacy (OHL) and covariates in Primary Care users. Method The sample consisted of 366 adults and elderly living in territories assigned to a Family Health team unit in the municipality of Piracicaba who sought dental treatment in 2019 and who agreed to participate in the research. The Health Literacy in Dentistry instrument (HeLD-14) was applied to assess OHL, as well as a questionnaire to investigate sociodemographic and SROH characteristics. In addition, clinical dental examinations were performed. Simple and multiple logistic regression analyzes were performed to assess the level of association between the SROH variable and the predictor variables. Results Patients with lower OHL score, worse Self-Rated Health and with more than one missing tooth had, respectively, 2.73 (95% CI: 1.62-4.61), 14.24 (95% CI: 7.41-27.38) and 2.93 (95% CI: 1.76-4.89) times more likely to have worse SROH (p <0.05). Conclusion The SROH is a construct associated with several non-clinical variables, including OHL.

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BACKGROUND: The negative association between income inequality and health has been known in the literature as the Income Inequality Hypothesis (IIH). Despite the multiple studies examining the validity of this hypothesis, evidence is still inconclusive, and the debate remains unsolved. In addition, relatively few studies have focused their attention on developing or emerging economies, where levels of inequality tend to be the highest in the world. This work examines the statistical association between income inequality and self-rated health status in Colombia, a highly unequal Latin American country. METHODS: To explore whether this association is present in the general population or whether it is only confined to the bottom of the income distribution, we use data from the 2011-2019 National Quality of Life Survey. Multiple probit estimations are considered for testing the robustness of the IIH. RESULTS: Evidence favouring the IIH was found, even after controlling for individual income levels, average regional income, and socioeconomic characteristics. The link between income inequality and the probability of reporting poor health seems to be present across all income quintiles. However, the magnitude of such association is considerably smaller when using inequality measures with relatively greater sensitivity to income differences among the rich. CONCLUSIONS: The association between regional income inequality and individual's self-rated health status in Colombia is not only confined to low-income individuals but extends across all socioeconomic strata. This association is robust to the income inequality measure implemented, the income-unit of analysis, and changes in the sample. It is suggested that reducing income disparities can potentially contribute to improving individual's health.

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OBJECTIVE: To examine the pathways between life course socioeconomic position (SEP) and general and oral health, assessing the role of two competing theories, social causation and health selection, on a representative sample of individuals aged 50 years and over in England. METHODS: Secondary analysis from the English Longitudinal Study of Ageing Wave 3 data (n = 8659). Structural equation models estimated the social causation pathways from childhood SEP to adult self-rated general health and total tooth loss, and the health selection pathways from childhood health to adult SEP. RESULTS: There were direct and indirect (primarily via education, but also adult SEP, and behavior) pathways from childhood SEP to both health outcomes in older adulthood. There was a direct pathway from childhood health to adult SEP, but no indirect pathway via education. The social causation path total effect estimate was three times larger for self-rated general health and four times larger for total tooth loss than the health selection path respective estimates. CONCLUSIONS: The relationship between SEP and health is bidirectional, but with a clearly stronger role for the social causation pathway.

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Racial health inequities may be partially explained by area-level factors such as residential segregation. In this cross-sectional study, using a large, multiracial, representative sample of Brazilian adults (n = 37,009 individuals in the 27 state capitals; National Health Survey (Pesquisa Nacional de Saúde), 2013), we investigated 1) whether individual-level self-rated health (SRH) (fair or poor vs. good or better) varies by race (self-declared White, Brown, or Black) and 2) whether city-level economic or racial residential segregation (using dissimilarity index values in tertiles: low, medium, and high) interacts with race, increasing racial inequities in SRH. Prevalence of fair or poor SRH was 31.5% (Black, Brown, and White people: 36.4%, 34.0%, and 27.3%, respectively). Marginal standardization based on multilevel logistic regression models, adjusted for age, gender, and education, showed that Black and Brown people had, respectively, 20% and 10% higher prevalence of fair or poor SRH than did White people. Furthermore, residential segregation interacted with race such that the more segregated a city, the greater the racial gap among Black, Brown, and White people in fair or poor SRH for both income and race segregation. Policies to reduce racial inequities may need to address residential segregation and its consequences for health.

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BACKGROUND: After a stroke, several aspects of health and function may influence how individuals perceive their own health. However, self-rated health (SRH), as well as its relationship with functioning, has been little explored in individuals with stroke. The aims of this study were to determine how individuals with chronic post-stroke disabilities evaluate their health, considering general, time- and age-comparative SRH questions and to investigate whether SRH measures would be influenced by the following health and functioning domains: mental/physical functions and personal factors. METHODS: Sixty-nine individuals with chronic post-stroke disabilities answered the three types of SRH questions and were assessed regarding depressive symptoms (emotional function domain), physical activity levels (physical function domain), and engagement in physical activity practice (personal factor domain). Subjects were divided into the following groups: good/poor for the general SRH question; better, similar, and "worse" for both time- and age-comparative questions. Between-group differences in the three domains for each SRH question were investigated (α = 5%). RESULTS: General SRH was rated as good by 73% of the participants. Time- and age-comparative SRH was rated as better by 36% and 47% and as similar by 31% and 28% of the subjects, respectively. Significant between-group differences in emotional function were found for both the general and age-comparative questions. For the time-comparative question, significant differences were only observed for physical function. CONCLUSION: SRH evaluation differed in individuals with chronic post-stroke disabilities according to the types of questions and health/functioning domains.

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With increasing life expectancy, grandparents and grandchildren have more years available to share. Furthermore, with lower fertility rates and fewer grandchildren, relationships can be more frequent and profound. Intergenerational relationships are expected to be associated with older people's quality of life, especially in Latin American countries such as Chile, with high intergenerational co-residence and contact between generations. This research aims to analyze the associations between the characteristics of intergenerational relationships and grandparents' subjective well-being (Diener Scale and Satisfaction) and self-rated health. The novelty stems from including the structural characteristics of relationships with grandchildren (frequency of contact, closeness, and care), the activities they share (generativity), and the quality of relationships (ambivalence). This study is based on data from a specific face-to-face grandparenting survey conducted on a sample of 464 grandparents in January 2020. It is representative of older Chilean grandparents living in private dwellings. Multiple logistic and ordinary regression models were estimated using the Diener Scale, unique satisfaction question, and health self-perception. The results demonstrated that subjective well-being, but not self-rated health, was highly associated with the characteristics of intergenerational relationships, especially with the quality of relationships and with generative activities such as recreational activities and family identity. In conclusion, intergenerational relationships' quality and content are strongly associated with subjective well-being in old age, but not with health self-perception. Even in a Latin American country like Chile, with high co-residence and intergenerational contact, the variations in quality and generativity activities significantly explain the variations in subjective well-being. For this reason, policies for the promotion of well-being in older people must consider the family environment in which older people live, encompassing wider family networks, including grandchildren.

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Objective: This study analyzed socioeconomic inequality in self-rated health for older adults (aged fifty or over) in Brazil. Methods: Data from the 2015-2016 Brazilian Longitudinal Study of Aging (ELSI-Brazil). Socioeconomic inequality in self-rated health was measured using the concentration index, which was decomposed to analyze the contribution of different factors. Results: This study revealed that 11.5% of the older adults interviewed reported their health as poor and very poor. For the complete sample, the estimated concentration index, -0.2434, indicated that there is a concentration of poor and very poor self-rated health among older and poorer adults. Income, education and having a private health insurance plan are the factors that contributed most to the observed inequality. Discussion: The decomposition showed that there are avoidable inequalities in relation to socioeconomic status for older adults in Brazil. These factors can guide the formulation of social and health policies aimed at reducing health inequalities.

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Abstract Chagas disease (CD) is recognized by the World Health Organization as one of the thirteen most neglected tropical diseases in the world. Self-perceived health is considered a better predictor of mortality than objective measures of health status, and the context in which one lives influences this predictor. This study aimed to evaluate the prevalence and individual and contextual factors associated with poor self-rated health among CD patients from an endemic region in Brazil. It is a multilevel cross-sectional study. The individual data come from a cross-section of a cohort study named SaMi-Trop. Contextual data was collected from publicly accessible institutional information systems and platforms. The dependent variable was self-perceived health. The analysis was performed using multilevel binary logistic regression. The study included 1,513 patients with CD, where 335 (22.1%) had Poor self-rated health. This study revealed the influence of the organization/offer of the Brazilian public health service and of individual characteristics on the self-perceived health of patients with CD.

Resumo A Doença de Chagas (DC) é reconhecida pela Organização Mundial da Saúde como uma das treze doenças tropicais mais negligenciadas do mundo. A autopercepção de saúde é considerada um melhor preditor de mortalidade do que medidas objetivas do estado de saúde, e o contexto em que se vive influencia esse preditor. O objetivo deste estudo foi avaliar a prevalência e os fatores individuais e contextuais associados à pior autopercepção em saúde de pacientes com DC de uma região endêmica do Brasil. É um estudo transversal multinível. Os dados individuais vêm de um corte transversal de um estudo de coorte denominado SaMi-Trop. Os dados contextuais foram coletados a partir de plataformas e sistemas de informações institucionais acessíveis ao público. A variável dependente foi a autopercepção de saúde. A análise foi realizada por meio de regressão logística binária multinível. Participaram do estudo 1.513 pacientes com DC, sendo 335 (22,1%) com pior autopercepção de saúde. Este estudo revelou a influência da organização/oferta do serviço público de saúde brasileiro e de características individuais na autopercepção de saúde de pacientes com DC.

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Resumen Introducción: La salud autoevaluada se ha considerado como una medida subjetiva del estado de salud general. El objetivo de este estudio consistió en identificar factores asociados a la salud autoevaluada en personas adultas costarricenses. Métodos: la muestra provino de un estudio de corte transversal que incluyó 992 hombres y 1570 mujeres participantes de una nueva corte de jubilación del proyecto Costa Rica: Estudio de Longevidad y Envejecimiento Saludable, referido como CRELES-RC. La salud autoevaluada se midió a través de una sola pregunta sobre la valoración del estado de salud, con cinco opciones de respuesta: excelente, muy buena, buena, regular y mala. Se calcularon odds ratios (OR) para cuantificar la contribución de las enfermedades crónicas y otros factores con una mala salud autoevaluada. Resultados: por un lado, los modelos de regresión logística determinaron que la salud autoevaluada se asocia con la zona de residencia, el nivel educativo, la percepción de la situación económica, la actividad física, el apoyo emocional y la presencia de enfermedad crónica. Por otro lado, las personas con alguna enfermedad crónica, excepto cáncer, evidenciaron una peor salud autoevaluada; la relación más fuerte se presentó con la artritis, la enfermedad pulmonar y la diabetes. Conclusiones: el estudio identificó que la zona de residencia, la actividad física, el nivel educativo, el apoyo emocional y la enfermedad crónica podrían afectar la salud de las personas.

Abstract Introduction: Self-rated health has been considered a subjective measure of general health status. We aim was identified factors associated with self-rated health in the Costa Ricans adult population. Methods: a population cross-sectional study with a total of 992 men and 1570 women representing a new retirement cohort participating in the project Costa Rica: Longevity and Healthy Aging Study and referred to as CRELES-RC. Self-rated health was measured through a single question on the assessment of health status that considers five options: excellent, very good, good, fair and poor. Odds ratios (OR) were calculated to quantify the contribution of chronic diseases and other factors to poor self-rated health. Results: The logistic regression models determined that self-rated health is associated with the area of residence, educational level, perception of the economic situation, physical activity, emotional support and the presence of chronic disease. People with a chronic disease, except cancer, indicate poorer self-rated health. The strongest relationship was with arthritis, lung disease, and diabetes. Conclusions: the study allowed to identify that the area of residence, education, physical activity, emotional support and chronic illness could affect people's health.

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