Factors Affecting Depression in Middle-Aged and Elderly Men Living Alone: A Cross-Sectional Path Analysis Model

Biopsychosocial factors of quality of life among middle-aged adults living alone in South Korea: a secondary data analysis using the 2017 Korea Community Health Survey

BACKGROUND

This study aimed to investigate quality of life (QoL) in middle-aged adults living alone and identify comprehensive biological, psychological, interpersonal, and contextual factors related to QoL using the dynamic biopsychosocial model. As a secondary analysis, this study used data from the 2017 Korea Community Health Survey conducted by the Korea Disease Control and Prevention Agency.

METHODS

Among the total 228,381 respondents, 10,639 middle-aged individuals aged 40-64 years from single-person households (5,036 men and 5,603 women) were included in the analysis. QoL was measured using the EuroQoL-5 Dimension (EQ-5D). The EQ-5D descriptive statistics were provided according to biological, psychological, interpersonal, and contextual factors. Considering the data structure of the multistage stratified cluster sampling method, a complex samples general linear model statistic was used to identify the predictors of QoL.

RESULTS

QoL was lower in those who had undesirable psychological status (e.g., more depressive symptoms, poor subjective health, and higher perceived stress), less engagement in social networking (less frequent contact with friends and less frequent participation in social activities such as religious activities, friendship gathering, and leisure), and lower physical, behavioral, and socioeconomic factors.

CONCLUSIONS

This study's findings indicate that psychological and interpersonal factors should be addressed and prioritized to improve the QoL of middle-aged adults living alone. By providing many opportunities for easily accessible social activities that meet the needs and interests of this demographic, their QoL can be improved through strengthening social support.

Age, Education and Depression Among Older Adults: The Mediating Role of Physical Activity

OBJECTIVES

Past geriatric studies related to the mediating role of physical activity in depression are scarce. This is perhaps the first study to examine the mediating effects of physical activity on the associations between depression and age, and education among older adults.

METHODS

Statistical analyses of cross-sectional data from a nationally representative survey on Malaysian older adult health were conducted. Structural equation modeling was used to assess the extent to which physical activity mediated the relationships between depression and age, and education. Associations between variables were explored using multivariable logistic regressions.

RESULTS

Analyses were based on a sample of 3974 older adults (aged ≥60 years). Only 12.2% of older adults had depression. Age was positively associated with the odds of depression. Better educated older adults were less likely to experience depression than less educated older adults. Physical activity fully mediated the association between depression and age, whereas it partially explained the depression-education relationship.

CONCLUSIONS

Older age and low educational levels were risk factors for depression, and physical activity was identified as a mediator.

CLINICAL IMPLICATIONS

Older and less-educated older adults should be encouraged to participate in physical activity, and those at risk of depression should be given special attention.

Factors Affecting Well-Being in Korean Young Adults Facing Material Deprivation: Testing the Reserve Capacity Model

Based on the reserve capacity model, the current study aims to explore the effect of material deprivation on well-being in Korean young adults using path analysis to investigate the mediating effects of loneliness, relationship satisfaction, perceived social support, and depression. Data from 2,041 young adults in the 2021 Youth Socio-Economic Reality Survey were included in a secondary analysis. According to the constructed path model, material deprivation, relationship satisfaction, perceived social support, and depression had significant direct effects on well-being. The indirect effect of material deprivation on well-being was statistically significant and sequentially mediated by loneliness, relationship satisfaction, and depression. Findings suggest the multidimensional effects of material deprivation on the mental health and well-being of Korean young adults through loneliness and relationship satisfaction-representing intrapersonal and interpersonal reserves, respectively. Policy support and multidimensional practical programs are needed to help materially deprived young adults build and maintain relationships and avoid feelings of loneliness and social isolation. [Journal of Psychosocial Nursing and Mental Health Services, 62(3), 29-38.].

Decomposition analysis of the difference in depressive symptoms between urban and rural employed people in China: Unpaid work plays an important role

OBJECTIVE

Focusing on the relationship between unpaid labor and the occurrence of depressive symptoms, this study aimed to explore the factors influencing the inequality of depressive symptoms and their contribution among Chinese urban and rural employed people.

METHODS

This study utilized the 2020 China Family Panel Studies' national resampling data. Multivariate logistic regression was used to explore the factors influencing the occurrence of depressive symptoms among employed persons in urban and rural areas in China, respectively. Fairlie decomposition was used to explore the contribution of influencing factors such as unpaid labor to the difference in the occurrence of depressive symptoms between urban and rural areas.

RESULTS

About 2,136 (21.70%) participants had depressive symptoms, of which 1,197 (24.75%) rural employed people had depressive symptoms and 939 (18.75%) urban employed people had depressive symptoms. The results of Fairlie decomposition analysis showed that 70.51% of the differences in depressive symptoms between urban and rural Chinese employed people could be explained by the covariates included in this study, including education level (52.44%), age (-11.91%), housework time (10.42%), self-rated health status (10.22%), self-rated income status (2.53%), exercise (2.36%), job satisfaction status (1.99%), chronic disease status (1.90%), and marital status (1.79%).

CONCLUSION

This study found that the proportion of depressive symptoms was lower among urban employed residents than among rural employed residents. This difference was mainly caused by unpaid labor time, socioeconomic status, personal lifestyle, and health status. Housework, which is one of the unpaid labor, contributed to this depressive symptom difference in the third place.

The relationship between childhood socioeconomic status and depression level in older adults: the mediating role of adult socioeconomic status and subjective well-being

BACKGROUND

There is a causal link between childhood socioeconomic status and health status in adulthood and beyond. It's vital to comprehend the relationship between childhood socioeconomic status and mental health among older Chinese individuals from the current generation who have undergone significant social changes in China. This understanding is critical to foster healthy demographic and social development in China.

METHODS

Using data from the 2020 China Family Panel Studies, we investigate the relationship between childhood socioeconomic status and depression in older adults. Additionally, we examine the mediating role of adult socioeconomic status and subjective well-being.

RESULTS

1) Childhood socioeconomic status of Chinese older adults differences by region of residence, while depression levels differences by gender, region of residence, and marital status. 2) Adult socioeconomic status mediated the relationship between childhood socioeconomic status and depression in older adults. 3) Adult socioeconomic status and subjective well-being had a chain-mediated role in the relationship between childhood socioeconomic status and depression in older adults.

CONCLUSIONS

In terms of childhood socioeconomic status, older adults in urban regions were significantly higher than those in rural regions. As for depression level, female older adults were more depressed than males; married older people have the lowest depression levels, while unmarried and widowed older people have higher depression levels; older adults in rural regions had higher depression levels than those in urban regions. Evidence from our study further suggests that childhood socioeconomic status can suppress the depression level in older adults through adult socioeconomic status; it can also further reduce the depression level in older adults through the chain mediation of adult economic status affecting subjective well-being. As depression is more prevalent among older individuals with a lower childhood socioeconomic status, it is vital to prioritize the extensive impact of childhood socioeconomic status as a distal factor and investigate "upstream" solutions to enhance childhood socioeconomic status and reduce the gap during the early years of life.

Health-related quality of life of Korean older adults according to age, sex, and living arrangements: a cross-sectional study

Introduction

The number and proportion of older adults living alone is a significant issue. While the number of the oldest old people is also expected to increase, their health characteristics are poorly understood. This study aims to evaluate the health-related quality of life (HRQoL) of the oldest old people according to age, sex, and living arrangements.

Methods

This study is based on the Korea Community Health Survey 2021. Among the survey's 229,242 observations, 73,617 observations aged 65 or higher were used for the analysis. The study participants were divided into 5-year age intervals (from 65-69 to 90+), sex, and living arrangements. The outcome variables are the EuroQol 5 Dimensions (EQ-5D) index score and the problem reporting rates of the five dimensions of EQ-5D.

Results

The mean EQ-5D index scores were 0.896 at 65-69 and 0.741 at 90+. The mean EQ-5D index score decreased more rapidly as age increased. Women showed consistently lower mean EQ-5D index scores than men in all age intervals. The proportion of older adults living alone increased from 18.1% at 65-69 to 43.6% at 90+. The odds of reporting problems with anxiety/depression among older men living alone were estimated to be significantly higher than older men living with someone (aOR 1.22 95% CI 1.05-1.43). The odds of reporting problems in self-care and usual activity among older women living alone were estimated to be significantly lower than older women living with someone (aOR 0.88 95% CI 0.70-0.83 and aOR 0.88 95% CI 0.82-0.94).

Conclusion

This study showed that older adults' HRQoL deteriorates as their age increases. Moreover, living alone may lead to different effects on older adults' HRQoL according to sex. More comprehensive studies and collaborative attention are needed to identify and provide customized care for older adults.

Latent profile analysis of depression among older adults living alone in China

BACKGROUND

The number of older adults living alone has increased significantly. Depression is one of the significant mental health problems they face; classifying depressive conditions into homogeneous subgroups can help discover hidden information.

METHODS

The data comes from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent profile analysis (LPA) was used to identify depression subgroups among elderly living alone, Chi-square tests and Kruskal-Wallis tests were used to univariate analysis, multinomial logistic regression was used to analyze the related factors.

RESULTS

1831 older adults living alone were identified and classified as low-level (30.4 %), moderate-level (55.3 %) and high-level (14.4 %). All variables, except age, were significant in the univariate analysis. Multinomial logistic regression showed that not participating in exercise, sometimes interacting with friends, anxiety symptoms, and impaired IADL were associated with the moderate- and high-level of depression in older adults living alone; good or fair self-rated health and life satisfaction were associated with the low-level of depression in older adults living alone. Anxiety symptoms were associated with high-level of depression in older adults living alone compared to moderate-level; good or fair self-rated health and life satisfaction were associated with moderate-level of depression in older adults living alone.

LIMITATIONS

The CES-D-10 cannot fully determine the presence of depression in elderly people living alone at high-level.

CONCLUSIONS

In future primary health care, it would be more meaningful to provide targeted interventions for different subgroups of depression in older adults living alone.

Predictors of Depression among Individuals Receiving the Basic Livelihood Security Program Benefits in Korea: A Study Based on the Sixth and Seventh Korea National Health and Nutrition Examination Survey (2013-2018)

The purpose of this study is to verify the relationship between oral health behaviors and depression and influencing factors on depression to establish strategies that can contribute to improvement of mental health problems such as depression in vulnerable social class recipients. This study is a descriptive correlation study conducted on basic livelihood recipients over the age of 19 who responded to the 6th~7th (2013~2018) National Health and Nutrition Examination Survey. In this study, a total of 2749 people who met the criteria for subject selection were included in final analysis after requesting and downloading their raw data from the National Health and Nutrition Examination Survey through the consent process mandated by the Korea Centers for Disease Control and Prevention. Of the 2749 subjects, 279 were diagnosed with depression, accounting for 10.1% of the total. The collected data were analyzed using t-tests and chi-squared tests, and factors affecting depression were analyzed by logistic regression analysis. Our results showed that the factors affecting depression were 1.74 times for men (95% CI = 1.29-2.24), 1.37 times for older people (95% CI = 1.01-1.87), and 1.66 times for low education (95% CI = 1.21-2.27). Subjects with impairment in daily activities had 1.89 times (95% CI = 1.43-2.52) higher risk. Subjects with moderate physical activity and subjects with economic activity showed a lower risk (95% CI = 0.30-0.73) and 0.52 times (95% CI = 0.30-0.72), respectively, than subjects who did not. We confirmed that the probability of being diagnosed with depression decreased, and the perceived health status was 0.36 times lower (95% CI = 0.22-0.61) than those with good status. Therefore, it is necessary to prepare countermeasures that reflect various aspects in consideration of not only age and gender, but also daily life and emotional state when establishing policies for vulnerable classes such as recipients of basic livelihood.

Gender-based depression factors of older adults living alone during the COVID-19 pandemic: A cross-sectional and secondary data approach

The coronavirus disease 2019 (COVID-19) pandemic negatively affected the mental health of older adults living alone. This study aimed to examine the differences in factors that influence depression among older adults based on gender. This study was a cross-sectional study employing the secondary data of 3581 older adults living alone at the early stage of COVID-19, collected from the 2020 Korea Community Health Survey, and used multiple linear regression analyses to identify factors associated with depression. We found that women had a higher level of depressive status than men. Low subjective health status was most significantly related to depression in both older men and older women. For women, body mass index and more changes in daily life due to COVID-19 were predictors of depression. Conversely, for men, a lower level of monthly income and smoking were significant predictors of depression. Depressive status caused by COVID-19 was likely to be frailer for older women who were living alone. There were differences in the factors related to depression due to COVID-19 by gender.