Air pollution, social engagement, and depression in older adults: Results from a Swedish population-based cohort study

Effect of long-term care insurance policy on depression in non-disabled people: evidence from China

BACKGROUND

Policy effect might be multidimensional and spill over to non-recipients. It is unclear how the implementation of Long-Term Care Insurance (LTCI) policy affects depression in non-disabled people and how this effect differs in different non-disabled groups.

METHODS

Using time-varying differences-in-differences method and nationally representative health survey data in wave 2011, wave 2013, wave 2015 and wave 2018 from the China Health and Retirement Longitudinal Study, we assessed the effect of LTCI policy on depression in non-disabled people aged 45 years and older, and discussed the heterogeneity of effect across different population characteristics: retirement, financial support and social participation status.

RESULTS

We found LTCI policy statistically significant reduced depression by 0.76 units in non-disabled people compared to non-pilot cities. Depression in non-disabled people who unretired, with financial support and without social participation was reduced by 0.8267, 0.7079 and 1.2161 units, respectively.

CONCLUSIONS

Depression in non-disabled people was statistically significant reduced because of LTCI policy in China, and non-disabled people who unretired, with financial support and without social participation benefited more from LTCI policy. Our findings highlight the depression-reducing effect of LTCI policy in non-recipients and suggest that non-disabled people who unretired, with financial support and without social participation should be concerned during LTCI policy progress.

A study on longitudinal relationship between ultrafine dust and the prevalence of depression

BACKGROUND

Recently, the fine dust problem caused by rapid industrialization and science and technological development has emerged as a severe social issue worldwide. This also increases the interest in its effect on human life. In particular, there is a growing concern about the harm of fine dust in Korea.

METHODS

This study is based on the PM 2.5 data from 2017 to 2021 provided by Air Korea to estimate changes in ultrafine dust. In addition, the data from the Community Health Survey provided by the Korea Centers for Disease Control and Prevention (KCDC) from 2017 to 2021 were used to examine the effect between the change in ultra-fine dust and the prevalence of depression. A total of 229 local governments were included in the analysis. The Latent Growth Modeling was carried out to estimate the change in ultra-fine dust and the prevalence of depressions and verify the relationship between ultra-fine dust and the prevalence of depression.

RESULTS

The analysis result revealed that the ultra-fine dust concentration continued to decrease from 2017 to 2021. However, the depression prevalence increased from an average of 2.60% in 2017 to an average of 3.12% in 2021, suggesting the need for adequate and sufficient welfare policies for depression treatment. As a result of estimating the initial value and change rate of ultra-fine dust and depression prevalence, the higher the initial value of ultra-fine dust, the greater the decrease in ultra-fine dust. In terms of depression, the lower the initial value of the prevalence of depression, the larger the increase in depression prevalence.

CONCLUSIONS

This study is significant in that it revealed the strong association of the longitudinal relationship between ultra-fine dust and depression, one of the biggest issues in Korea, by utilizing large-scale longitudinal data.