Demographics and Health Profiles of Depressive Symptoms in Korean Older Adults

Urbanicity and depression: A global meta-analysis

BACKGROUND

Previous meta-analyses have revealed that in adult and older adult populations of developed countries, depression is more prevalent in urban than rural areas. No meta-analyses have identified the effects of urbanicity on the general age demographic for developing countries. We conducted a meta-analysis of urban-rural differences in depression across all age demographics for developed and developing countries.

METHODS

PubMed and PsycINFO databases were searched for studies published between 1980 and 2020. Studies were included if they reported prevalences of urban and rural depression, or odds ratios comparing urban-rural depression prevalence. Studies were excluded for: nonrepresentative samples, non-standard measures of depression, and reporting continuous outcomes only. Meta-analytic models of urban-rural differences in the odds of depression were conducted across country development levels and age demographics.

RESULTS

From 1597 records screened and 302 full texts assessed for eligibility, 80 studies (N = 539,557) were included for meta-analysis. Urban residence was significantly associated with a higher prevalence of depression in developed countries (OR = 1.30, 95 % CI [1.17, 1.46], z = 4.75, p < .001), which was primarily driven by urban-rural differences in the general population age demographic (OR = 1.37, 95 % CI [1.22, 1.54], z = 5.38, p < .001).

LIMITATIONS

Studies reporting urban-rural differences in depression in terms of continuous symptom severity scores were not included.

CONCLUSIONS

Urbanicity appears to uniquely be associated with a higher prevalence of depression in developed countries, but not in developing countries.

Prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in living arrangements: a cross-sectional study

BACKGROUND

Older adults with different living arrangements may have different mental health statuses and different factors that influence their mental health. The aim of the present study is to investigate the prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in their living arrangements.

METHODS

Participants were 6,055 older adults from the 2015 China Health and Retirement Longitudinal Study. Depressive symptoms and their determinants were evaluated using the 10-item Center for Epidemiologic Studies Depression Scale and multivariate logistic regression analysis, respectively.

RESULTS

The prevalence of depressive symptoms among older adults living alone, as a couple, and with children was 47.8%, 33.2%, and 39.5%, respectively. The common risk factors for depressive symptoms were shorter sleep duration, poorer activities of daily living, and poorer self-rated health. Women, those with lower educational levels, and those suffering from chronic diseases had a higher risk of depressive symptoms among older adults living as a couple and those living with children. Smoking and participation in economic activities were also risk factors of depressive symptoms among older adults living with children and those living alone, respectively.

CONCLUSIONS

The findings suggest that older adults living as couples had the lowest prevalence of depressive symptoms, while those living alone had the highest prevalence of depressive symptoms. The determinants of depressive symptoms differed by living arrangement; hence, they should be considered in future interventions.

The "jolly fat" for the middle-aged and older adults in China, was education level considered?

BACKGROUND

Several studies have found a negative association between obesity and depression in Chinese middle-aged and elderly, suggesting the existence of "jolly fat". This study aims to investigate whether "jolly fat" is applicable among middle-aged and elderly with different education levels, and to provide a new perspective for depression screening and obesity interventions in middle-aged and older adults.

METHODS

10,018 individuals aged 45 years and over in China Family Panel Study (2018) were selected for analysis. A short version of Center for Epidemiological Research Depression Scale was used to assess depression. Body mass index was applied to define obesity status. Subgroup analysis of multiple logistic regression was performed to explore whether the relationship between obesity and depression was influenced by education levels.

RESULTS

The prevalence of obesity and depression was 9.02 % and 22.96 % among participants. Obesity reduced the probability of depression in middle-aged and elderly with primary school education or below (OR = 0.71, 95 % CI = 0.56-0.91) while not affecting those with junior high school education or above (OR = 0.80, 95 % CI = 0.57-1.13).

LIMITATIONS

The results cannot be interpreted as causality due to the cross-sectional design. Besides, we cannot directly measure the body composition of the participants.

CONCLUSIONS

"Jolly fat" existed among middle-aged and elderly with low education, but not in those with junior high school education or above. Health care providers need to monitor the psychological status of low-educated middle-aged and older adults who are seen as needing to lose weight, while the underweight group should be the key target of depression screening.

Association between self-care disability and depressive symptoms among middle-aged and elderly Chinese people

Objective

In the context of an increased focus on geriatric depression in recent years, this study examined the associations between different types of self-care disability, the number of self-care disabilities, and depressive symptoms among middle-aged and elderly Chinese people.

Method

The data for this study were extracted from the follow-up survey (conducted in 2018) of the China Health and Retirement Longitudinal Study (CHARLS). The sample comprised 10808 participants aged 45 years and older. The Activities of Daily Living (ADL) scale and the Center for Epidemiological Studies Depression (CESD-10) Scale were used to assess self-care disability and depressive symptoms, respectively.

Result

The prevalence of depressive symptoms and self-care disability among the surveyed residents was 45.1% and 23.4%, respectively. Overall, there was a significant positive association between self-care disability and depressive symptoms. Participants who reported having a self-care disability in relation dressing, bathing, transferring in and out of bed, using the toilet, and controlling urination and defecation were found to have a significantly higher risk of depressive symptoms. In addition, participants with a greater cumulative quantity of self-care disabilities had a higher risk of depressive symptoms, and higher CESD-10 scores.

Conclusion

Self-care disability is a risk factor for depressive symptoms among middle-aged and elderly Chinese people. A positive correlation between the number of self-care disabilities and the risk of depressive symptoms was found.

Influence of External Natural Environment Including Sunshine Exposure on Public Mental Health: A Systematic Review

The COVID-19 pandemic has been raging around the world and public health measures such as lockdowns have forced people to go out less often, reducing sunlight exposure time, green space use, and physical activity. It is well known that exercise has a positive impact on mental health, but the impact of external environmental factors such as sunlight exposure and green space use on mental health has not been systematically reviewed. In this review, we categorized the major factors that may affect people’s mental health into (1) external environmental factors such as exposure to sunlight and green spaces, (2) internal life factors such as physical activity and lifestyle, and (3) mixed external and internal factors, and systematically examined the relationship between each factor and people’s mental health. The results showed that exposure to sunlight, spending leisure time in green spaces, and physical activity each had a positive impact on people’s mental health, including depression, anxiety, and stress states. Specifically, moderate physical activity in an external environment with sunlight exposure or green space was found to be an important factor. The study found that exposure to the natural environment through sunbathing and exercise is important for people’s mental health.

The prevalence of depressive symptoms and associated factors in middle-aged and elderly Chinese people

BACKGROUND

This study aimed to evaluate the prevalence of depressive symptoms and associated factors in middle-aged and elderly people in China.

METHODS

Data were obtained from the China Family Panel Studies (CFPS) 2018. We selected 16,767 respondents over the age of 45 as samples for research and analysis. A short version of the Center for Epidemiological Research Depression Scale (CES-D) was used to assess depressive symptoms. Chi-square test and multiple logistic regression analysis were used to explore the related factors of depressive symptoms. Back Propagation neural network model was established to examine the ranking of influencing factors of depressive symptoms.

RESULTS

There was 24.1% prevalence of depressive symptoms among the respondents. The 14 important variables affecting depressive symptoms were screened out with the multivariable logistic regression. Based on the BP neural network to rank the degree of importance, the top five important variables were determined, which were subjective well-being (100.0%), self-reported health (92.0%), life satisfaction (83.4%), ADL disability (74.0%), and marital status (69.7%).

LIMITATIONS

This study was a cross-sectional study, and causality cannot be determined.

CONCLUSIONS

The prevalence of depressive symptoms in middle-aged and elderly Chinese people was high. Subjective quality of life evaluation, health condition and marital status were important factors that have an impact on depressive symptoms.

Childhood disadvantage, education, and psychological distress in adulthood: A three-wave population-based study

BACKGROUND

We assessed the mediating role of education in the association between childhood disadvantage and psychological distress in adulthood using longitudinal data collected in three waves, from 1994 to 2008, in the framework of the Tromsø Study (N = 4530), a cohort that is representative of men and women from Tromsø.

METHODS

Education was measured at a mean age of 54.7 years, and psychological distress in adulthood was measured at a mean age of 61.7 years. Ordinary least square regression analysis was used to assess the associations between childhood disadvantage, education, and psychological distress in adulthood. The indirect effects and the proportion (%) of indirect effects of childhood disadvantage (via education) on psychological distress in adulthood were assessed by mediation analysis.

RESULTS

Childhood disadvantage was associated with lower education and higher psychological distress in adulthood (p < 0.05). Lower education was associated with a higher psychological distress in adulthood (p < 0.05). A minor proportion (7.51%, p < 0.05) of the association between childhood disadvantage and psychological distress in adulthood was mediated by education.

LIMITATIONS

Childhood disadvantages were measured retrospectively.

CONCLUSION

The association between childhood disadvantage and psychological distress in adulthood is primarily independent of education.