Suchergebnisse

BACKGROUND: Individual and environmental factors have been found to be related to cognitive function. However, few studies have examined the longitudinal effects of both individual and environmental factors over time. The purpose of this study was to examine the effects of individual and environmental factors over time on older people's cognitive function. METHODS: Nationally representative panel data from the Taiwan Longitudinal Survey on Aging 1999–2015 (n = 6349 persons, observations = 12,042) were used. City-level indicator data were sourced from the government. A multilevel mixed linear model analysis was conducted. RESULTS: Better cognitive function was significantly related to individuals' work, ethnicity, younger age, higher education level, better self-rated health, higher level of emotional support received, being more religious, higher economic satisfaction, and living in the cities with higher population densities. Education and social connectedness were protective factors over time. CONCLUSION: Socioeconomics and social connectedness are related to cognitive function. A more social integrated lifestyle and financially secure living is suggested in the policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02940-9.

The purpose of this study was to examine the associations between cognitive function, the city's social environment, and individual characteristics of older adults. The individual data of older people were from the Nutrition and Health Survey in Taiwan 2013–2016. The participants who were aged 65 and above were included in the analysis (n = 1356). City-level data were obtained for twenty cities in Taiwan. The data of city-level indicators were from governmental open data and Taiwan's Age Friendly Environment Monitor Study. A multilevel mixed-effect model was applied in the analysis. Population density, median income, safety in the community, barrier-free sidewalks, high education rate of the population, low-income population rate, household income inequality, and elderly abuse rate were related to cognitive function in the bivariate analysis. When controlling for individual factors, the city's low-income population rate was still significantly related to lower cognitive function. In addition, the participants who were at younger age, had a higher education level, had a better financial satisfaction, had worse self-rated health, had higher numbers of disease, and had better physical function had better cognitive function. Social and built environments associated with cognitive function highlight the importance of income security and the age friendliness of the city for older adults. Income security for older people and age-friendly city policies are suggested.

Individual factors relating to dietary behaviors are widely explored. However, the effects of social environment on dietary patterns for the older people are less explored. The purpose of this study was to identify dietary patterns among older people in Taiwan and to examine the relationship of dietary patterns with social environment and individual factors. The current study used the 2013–2016 Nutrition and Health Survey in Taiwan. The sample was representative at the national and city levels. Only those who were aged 55 years old and above were included for analysis (n = 2922); the mean age of the participants was 68.62 (SD = 8.76). The city-level data, including population characteristics, food availability, and age-friendly city indicators, were obtained from the open data and survey report of government. Three dietary patterns were identified: high protein-vegetable (41.6%), high sweets and low protein-vegetables (37.9%), and high viscera and fats (20.5%). The results of multilevel multinomial logistic regressions showed that marital status, economic status, education, drinking alcohol, dietary belief, living a the city with more food availability, and bus accessibility were related to dietary patterns. Dietary patterns are related to the individual-level factors and social environment. Healthy dietary beliefs and age-friendly environments are beneficial to promoting healthy dietary patterns.