ABSTRACT
Background Regional differences in economic development, natural environment, health care level, and social structure may lead to differences in the provincial distribution of the health status of the elderly population. Objective To explore the provincial distribution characteristics, regional differences, and influencing factors of the self-assessed health of the elderly population, with the aim of providing a policy basis for improving the health of the elderly population and promoting healthy aging according to local conditions. Methods Using 31 provinces (municipalities and autonomous regions) in China as the basicstudy unit and based on the method of Wagstaff, the self-rated health data of the elderly population (aged 60 years and above) in each province from the 2010 and 2020 national censuses and the 2015 1% National Population Sample Survey were converted into ill-health scores as a measure of self-assessed health, and higher scores represented worse health status perception. Global Moran's I was used to evaluate spatial autocorrelation, range [−1, 1], with a value of 1 as a perfect clustered pattern. Local Moran's I was used to evaluate the tendency of local autocorrelation, and high-high aggregation/low-low aggregation indicated that both target province and its neighboring provinces showed higher/lower ill-health scores. Spatial econometric models were selected by Lagrange multiplier test and Hausman test to explore influencing factors of the self-assessed health of the elderly population. Results In 2010, 2015, and 2020, the national ill-health scores of the elderly population were 1.831, 1.873, and 1.547, respectively, and the corresponding Global Moran's I statistics were 0.347, 0.482, and 0.511, respectively (P<0.01), indicating that the ill-health scores of the elderly population showed a significant spatial positive autocorrelation, and the degree of spatial aggregation was increasing gradually. From 2010 to 2020, the high-high aggregation of ill-health scores among the elderly population was concentrated in the inland northwest, while the low-low aggregation was concentrated in the southeast coast, gradually showing a "southeast-central-northwest" stepped incremental pattern of differentiation. The Lagrange multiplier test and Hausman test suggested that the fixed-effects spatial lagged model was a better choice, and the regression model showed a spatial autocorrelation in the ill-health scores of the elderly population, with an autocorrelation coefficient of 0.3969 (P<0.001); the ill-health scores of the elderly population were negatively correlated with the natural logarithms of gross regional product per capita, and the number of beds in health care facilities per 1000 population, with regression coefficients of −0.8297 and −0.0454 (P<0.05) respectively, and positively correlated with the annual average concentration of PM2.5, illiteracy rate, and the number of health technicians per 1000 population, with regression coefficients of 0.0033, 0.0297, and 0.0765 (P<0.05), respectively. Conclusion From 2010 to 2020, the overall self-assessed health level of China's elderly population showed an upward trend and a spatial positive autocorrelation, with better self-assessed health in the southeast coast and poorer ratings in the northwestern inland. Additionally, there was a gradual decline in self-assessed health of the elderly population from the southeast to the central regions and further to the northwest in terms of spatial distribution. Economic development level, environmental pollution, health resource allocation, and education level are important factors influencing the self-assessed health of the elderly population.
ABSTRACT
No Brasil, o aumento da população idosa em relação à população total e o aumento da longevidade provocam uma demanda por informações sobre a quantidade de anos vividos com saúde. O objetivo do presente estudo é medir a expectativa de vida saudável para a população brasileira de 60 anos e mais, por sexo e idade, em 2003. Para isso, foi empregado o método de Sullivan, combinando a tábua de vida, com experiência de mortalidade corrente da população e suas percepções de saúde. As informações de mortalidade foram obtidas de tábuas de vida publicadas pelo Instituto Brasileiro de Geografia e Estatística, 2003. Optou-se por utilizar a autopercepção do estado de saúde, dicotomizada em boa e ruim, como medida do estado saúde dos indivíduos idosos, com informações advindas da Pesquisa Nacional por Amostra Domiciliar (PNAD) de 2003. As estimativas mostram que as mulheres vivem mais, porém o número de anos a serem vividos por elas percebendo sua saúde como ruim é maior do que a estimativa para os idosos do sexo masculino. Os resultados chamam atenção para a necessidade de considerar as diferenças entre os sexos em relação à demanda por cuidados de saúde, assim como para a necessidade de políticas visando aumentar os anos a serem vividos pelos idosos em condições que estes considerem como de boa saúde.
The increase of the percentage of elderly population in Brazil and the increase in longevity incite a demand for information on the quantity of years spent in good health. The aim of the present study is to measure the life expectancy for the elderly of 60 years and above, by sex and age, in the year of 2003. The Sullivan method was used, which combined the life-table with the current experience of mortality and the self-perceived health. The mortality information was obtained from the life tables published by the IBGE (Brazilian Institute of Geography and Statistics), 2003. The self-perceived health was used and it was dichotomized in good and bad. This information came from the National Research of Household Sample (PNAD), 2003. The results indicate that women live longer, but spend a higher number of years perceiving their health as bad, as compared to men. The results also highlights to the need of considering the differences between sexes in relation to the demand for health care. It is also important to consider the need to have policies designed to allow the increase in the number of years that the elderly can live in good health conditions.
Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Life Expectancy , Brazil , Self ConceptABSTRACT
OBJECTIVES: Despite various government initiatives, including the expansion of national health insurance coverage, health inequality has been a key health policy issue in South Korea during the past decade. This study describes and compares the extent of the total health inequality and the income-related health inequality over time among Korean adults. METHODS: This study employs the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys (KNHANESs). The self-assessed health (SAH) ordinal responses, measured on a five-point scale, rescaled to cardinal values to measure the health inequalities with using interval regression. The boundaries of each threshold for the interval regression analysis were obtained from the empirical distribution of the EuroQol-5 Dimension (EQ-5D) valuation weights estimated from the 2005 KNHANES. The final model predicting the individuals' health status included age, gender, educational attainment, occupation, income, and the regional prosperity index. The concentration index was used to measure and analyze the health inequality. RESULTS: The KNHANES data showed an unequal distribution of the total health inequality in favor of the higher income groups, and this is getting worse over time (0.0327 in 1998, 0.0393 in 2001 and 0.0924 in 2005). The income-related health inequality in 2005 was 0.0278, indicating that 30.1% of the total health inequality can be attributed to income. CONCLUSIONS: The findings indicate there are health inequalities across the sociodemographic and income groups despite the recent government's efforts. Further research is warranted to investigate what potential policy actions are necessary to decrease the health inequality in Korea.
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Health Status Disparities , Income , Korea , Quality of Life , Surveys and QuestionnairesABSTRACT
BACKGROUND: Self-assessed health is a crude and simple measure which was used as a summary of an individual's general state of health. In this study, we examined the relationship between comprehensive variables and self-assessed health and identified the major determinants of self-assessed health among community dwelling elderly. METHODS: We performed a study on variables using comprehensive geriatric assessment in 308 elderly people who visited the department of family medicine or the department physical medicine and rehabilitation of 11 university hospitals or general hospitals in Korea from July 1, 1999 through October 31, 1999. The association of self-assessed health and variables was examined by X2-test and multiple linear regression analysis. For dependent variable a question "How would you describe your health now?" was used and the subjects responded from these categories: very good, good, fair, poor, and very poor. The independent variables were sociodemographic characters, health behavior, diseases, physical and social function, family and social support. RESULTS: In the X2-test, self-assessed health was significantly associated with income, exercise, nutrition, number of disease, cardiac disease, cerebrovascular disease, fall, ADLs, IADLs, depression and social support. In the multiple linear regression analysis, majority of the explained variance in self-assessed health was nutrition, cardiac disease and depression. CONCLUSION: Self-assessed health among older adults was influenced by various factors. Based on the results, multidimensional approach needs to be developed to improve health.