Ethnic differences in disability-free life expectancy and disabled life expectancy in older adults in Chile.

BACKGROUND: Although about 10% of the Latin American population is indigenous, ethnic differences in disability-free life expectancy (DFLE) and life expectancy with disability (DLE) are unknown. OBJECTIVE: To estimate disability-free life expectancy and disabled life expectancy among Mapuche (the largest indigenous group) and non-indigenous older adults aged 60 years or more in Chile. METHOD: Disability was measured following a methodology that combines limitations of daily living, cognitive impairment and dependence previously validated in Chile. Finally, the DFLE was estimated using Sullivan's method combining life tables by ethnicity and disability proportions from the EDES survey designed for the study of ethnic differentials in health and longevity in Chile. RESULTS: Non-Indigenous people have a higher total and Disability-free life expectancy compared to Mapuche people at all ages. While at age 60 a Mapuche expects to live 18.9 years, of which 9.4 are disability-free, a non-Indigenous expects to live 26.4 years, of which 14 are disability-free. In addition, although the length of life with disability increases with age for both populations, Mapuche who survive to age 80 or 90 expect to live 84% and 91% of their remaining life with disability, higher proportions compared to non-indigenous people (62.9% and 75%, respectively). CONCLUSIONS: This is the first study addressing inequities in DFLE between the Mapuche and non-Indigenous population, reflected in lower total life expectancy, lower DFLE and higher DLE in Mapuche compared to the non-Indigenous population. Our results underscore the need for increased capacity to monitor mortality risks among older people, considering ethnic differences.

Índice de riesgo de obesidad infantil (IROBIC) para áreas administrativas pequeñas en Chile / Childhood obesity risk index (IROBIC) for small administrative areas in Chile

Introducción: a pesar de la alta prevalencia de la obesidad infantil (OI) globalmente, no existen índices compuestos para estimar los aspectos territoriales asociados al riesgo de OI. Objetivo: elaborar un índice de riesgo de OI (IROBIC) para unidades administrativas pequeñas (comunas) de Chile Métodos: se utilizaron datos de 2019 de fuentes públicas con información de menores de 10 años de todas las comunas de las 2 regiones más grandes. El IROBIC incluye 16 indicadores estandarizados por comuna y agrupados en cuatro dimensiones, determinadas por análisis de componentes principales (salud, socio económica, entornos comunal y educacional). Se determinó el IROBIC mediante una media geométrica ponderada y posteriormente se calcularon las diferencias entre las 10 y 5 comunas con mayores y menores IROBIC y de cada dimensión, con el coeficiente de disparidad Resultados: aun cuando los mayores IROBIC se obtuvieran en comunas más vulnerables, su valor total y el de cada dimensión, mostraron que es posible amortiguar los efectos de la desigualdad sobre la OI. Las 10 y 5 comunas con mayor IROBIC presentan un riesgo, 2,41 y 4,05 veces mayor que las de menor valor, respectivamente. Conclusiones: el IROBIC puede monitorear el riesgo de OI —y factores asociados— desde una perspectiva territorial. (AU)

Introduction: although the prevalence of childhood obesity (CO) is high globally, there are no composite indices to estimate territorial aspects associated with its risk Objective: to develop an obesity risk index (IROBIC) for small administrative units, called “comunas” in Chile Methods: we used 2019 data from public sources on children under 10 years living in “comunas” of the two largest regions. IROBIC includes 16 indicators standardized for each “comuna” and grouped together into four domains, determined by principal component analysis (health, socio-economic, built-in and educational environments). IROBIC was calculated as a weighted geometric mean. Differences in obesity risk between the 10 and 5 “comunas” with the highest and lowest IROBIC and of each domain, were calculated with the disparity ratio. Results: in spite of the poorest “comunas” having the highest IROBIC, when its value and that for each domain were considered, we observed that the effect of inequality could be mitigated. The 10 and 5 “comunas” with the highest IROBIC have a 2.41 and 4.05 higher risk of CO compared to those with the lowest values Conclusions: IROBIC is a useful tool for monitoring the risk of CO and its factors from a territorial perspective. (AU)

Life expectancy by ethnic origin in Chile.

Background: Ethnic and racial differences in life expectancy have been well established in different societies. However, even though an important part of the population of Latin America is Indigenous, there is little knowledge about them. Objective: Determine if there are ethnic differences in life expectancy at birth and at 60 years in Chile, and if the Mapuche (largest Indigenous ethnic group) have similar life expectancy to other Indigenous peoples. Method: Life tables for the Mapuche and other Indigenous groups and non-Indigenous people were built using the 2017 census. Specifically, we used the questions of the number of live children born and the number of surviving children. With this information, using the indirect method of own children we determined infantile mortality. Then, using the relational logit model and the model life table (west), we estimated the survival function for all ages. Results: Indigenous Chileans have seven years lower life expectancy at birth than the non-Indigenous population (76.2 vs. 83.2 years). The differential at age 60 is 6 years (20.3 vs. 26.4 years). We also found that Mapuche have an even greater disadvantage in survival than other ethnic groups. This is reflected in 2 years less life expectancy, both at birth and at 60 years. Discussion: Our results ratify the existence of marked ethnic-racial inequality in the extension of life in Chile and demonstrate a greater disadvantage in terms of survival of the Mapuche compared to other Indigenous and non-Indigenous groups. It is thus of great relevance to design policies that would decrease the existing inequalities in lifespan.

[Childhood obesity risk index (IROBIC) for small administrative areas in Chile]. / Índice de riesgo de obesidad infantil (IROBIC) para áreas administrativas pequeñas en Chile.

Introduction: Introduction: although the prevalence of childhood obesity (CO) is high globally, there are no composite indices to estimate territorial aspects associated with its risk Objective: to develop an obesity risk index (IROBIC) for small administrative units, called "comunas" in Chile Methods: we used 2019 data from public sources on children under 10 years living in "comunas" of the two largest regions. IROBIC includes 16 indicators standardized for each "comuna" and grouped together into four domains, determined by principal component analysis (health, socio-economic, built-in and educational environments). IROBIC was calculated as a weighted geometric mean. Differences in obesity risk between the 10 and 5 "comunas" with the highest and lowest IROBIC and of each domain, were calculated with the disparity ratio. Results: in spite of the poorest "comunas" having the highest IROBIC, when its value and that for each domain were considered, we observed that the effect of inequality could be mitigated. The 10 and 5 "comunas" with the highest IROBIC have a 2.41 and 4.05 higher risk of CO compared to those with the lowest values Conclusions: IROBIC is a useful tool for monitoring the risk of CO and its factors from a territorial perspective.

Introducción: Introducción: a pesar de la alta prevalencia de la obesidad infantil (OI) globalmente, no existen índices compuestos para estimar los aspectos territoriales asociados al riesgo de OI. Objetivo: elaborar un índice de riesgo de OI (IROBIC) para unidades administrativas pequeñas (comunas) de Chile Métodos: se utilizaron datos de 2019 de fuentes públicas con información de menores de 10 años de todas las comunas de las 2 regiones más grandes. El IROBIC incluye 16 indicadores estandarizados por comuna y agrupados en cuatro dimensiones, determinadas por análisis de componentes principales (salud, socio económica, entornos comunal y educacional). Se determinó el IROBIC mediante una media geométrica ponderada y posteriormente se calcularon las diferencias entre las 10 y 5 comunas con mayores y menores IROBIC y de cada dimensión, con el coeficiente de disparidad Resultados: aun cuando los mayores IROBIC se obtuvieran en comunas más vulnerables, su valor total y el de cada dimensión, mostraron que es posible amortiguar los efectos de la desigualdad sobre la OI. Las 10 y 5 comunas con mayor IROBIC presentan un riesgo, 2,41 y 4,05 veces mayor que las de menor valor, respectivamente. Conclusiones: el IROBIC puede monitorear el riesgo de OI ­y factores asociados­ desde una perspectiva territorial.

Socio-Spatial Segregation of Unhealthy Food Environments across Public Schools in Santiago, Chile.

Santiago, Chile is a very segregated city, with higher childhood obesity rates observed in vulnerable areas. We compared the counts and proximity of unhealthy food outlets (UFOs) around a 400 m buffer of 443 public schools (municipal and subsidized) located in socioeconomically diverse neighborhoods in 14 municipalities of Santiago. This was a cross-sectional study in which the socioeconomic status (SES) of the population living inside the buffer was classified as middle-high, middle, and low. We used the Kruskal-Wallis test for comparisons of density and proximity between type of school, SES, and population density. We used a negative binomial model (unadjusted and adjusted by population density) to determine the expected change in counts of UFOs by SES, which was compared to the reference (middle-high). Low SES neighborhoods had significantly more counts of UFOs, and these were located much closer to schools. Low and middle SES neighborhoods had an 88% and 48% higher relative risk of having UFOs compared to middle-high SES areas; (IRR = 1.88; 95% CI 1.59-2.23) and (IRR = 1.48; 95% CI 1.20-1.82), respectively. A socio-spatial segregation of UFOs associated with childhood obesity across public schools was observed in Santiago.

Marital Status, Living Arrangements and Mortality at Older Ages in Chile, 2004-2016.

The risk of mortality in old age is associated with marital status and living arrangements. There is still little knowledge about this in Latin America. Our objectives are to examine the association between marital status, living arrangements and mortality of older adults (>60 years) in Chile, and to test whether this association varies when demographic, socioeconomic and health factors are included. We used data from the Social Protection Survey, and mortality data were linked to the Civil Registry. We estimate a series of Poisson regression models. Our results show a clear association between marriage and longevity, since even controlling for demographic, socioeconomic and health factors, we found that separated or divorced, widowed, and unmarried people showed higher relative mortality compared to married people (IRR1.24, IRR1.33, IRR1.35, respectively). Considering only living arrangements, the results show that living alone, alone with children, with children and other relatives or in other arrangements is associated with higher mortality (IRR1.22, IRR1.27, IRR1.35, IRR1.35, respectively) compared to those living with their partners and children. However, considering marital status and living arrangements together, we find that survival among older adults was strongly associated with marital status. Marital status continues to be a direct measure of living arrangements among older adults in Chile.

Social participation and 5-year all-cause mortality in older Chilean people.

We aimed to examine the degree to which social participation is associated with mortality risk in older adults in Chile. We used the Chilean National Survey on Elderly Dependency, which is linked to vital statistics, in order to obtain death records. Four proportional risk regression models were estimated. Even with controlled sociodemographic, economic, family, and health variables, older adults who participate in social activities had a 22% lower risk of death than those who do not participate. We concluded that social participation is a strong and significant protective factor for mortality in Chilean older adults. Social participation should thus be promoted from a life course perspective considering its effect on mortality in older adults who maintained an active social life.

The Importance of Education for Middle- and Old-Age Mortality in Chile: Estimates From Panel Data Linked to Death Records.

OBJECTIVES: To examine the association between education and mortality by age and gender in Chile. METHODS: We drew data from 10,147 adults aged 40 years and over from the Chilean Social Protection Survey linked to the national death records. We specify five Cox regression models to estimate the main and interaction effects for education levels, age, sex, and mortality. RESULTS: The hazard ratios reduce with increasing education. Secondary and tertiary education levels are associated, respectively, with 34% and 41% lower hazard rates than 0-4 years of schooling. Also, the educational gradient in mortality is significantly weaker at older ages, and it does not differ by gender. DISCUSSION: Our findings endorse the negative association of formal education with adult mortality, uncovering Chile's structural problems despite the economic improvements underway. It also corroborates the importance of novel longitudinal data for mortality analyses in Latin America.

Migração dos médicos: uma análise dos movimentos migratórios dos profissionais da saúde no Brasil segundo Unidades de Federação (2000-2010) / Migration of physicians: an analysis of the migratory movements of health professionals in Brazil according to Federation Units (2000-2010)

O objetivo do trabalho é identificar os principais padrões migratórios dos profissionais médicos segundo as Unidades de Federação (UFs) do Brasil, a partir dos Censos Demográficos dos anos 2000 e 2010. Construíram-se matrizes de migração para cada um dos pontos do tempo e se estimam taxas liquidas de migração para cada UF. Os resultados mostram que, apesar da identificação de um aumento no número de médicos que migram para outras UFs durante o período de estudo, continuam existindo diferenças significativas entre as regionais e UFs, em relação à alocação de médicos. A região Sudeste, especificamente, São Paulo, Minas Gerais e Rio de Janeiro são as principais UFs, fornecedoras de médicos para outros Estados e também são as principais receptoras. Realidade oposta é a de Amapá, a UF que recebe a menor quantidade de médicos imigrantes. Acreditamos que os resultados desta natureza permitem que o conhecimento sobre os deslocamentos dos médicos contribua a melhorar desenhos de planos estratégicos para estabelecer a quantidade mínima de médicos que cada Unidade de Federação do Brasil possa ter e monitorar estas correntes migratórias de mão de obra tão qualificada e específica como são os médicos.

The aim of this study is to identify the main migration patterns of medical professionals according to the Brazilian Federative Units (UFs), based on Demographic Census data of the years 2000 and 2010. Migration matrices for each of point in time are produced, and net migration rates for each UF are estimated. The results show that despite the increase in the number of physicians out flowing to other UFs during the study period, there are still significant differences between Regions and UFs related to the allocation of physicians. The Southeast Region, particularly, São Paulo, Minas Gerais and Rio de Janeiro are the main UFs providing these professionals to other states and are also the main attractors. Amapá shows opposite reality: it is the UF that receives the lowest inflow of physicians. Results suggest that the sort of knowledge presented about spatial movements of physicians may contribute to the design of strategic plans that allow each Federation Units of Brazil count on a minimum quantity of physicians. It is also am important tool for monitoring in-outflows of highly qualified and specific labor force as the physicians are.