The association between relative income and depressive symptoms in adults: Findings from a nationwide survey in Korea

Factor Structures in the Depressive Symptoms Domains in the 9Q for Northern Thai Adults and Their Association with Chronic Diseases

Most of the common models to examine depression are one-factor models; however, previous studies provided several-factor structure models on each depressive symptom using the Patient Health Questionnaire-9 (PHQ-9). The Nine-Questions Depression-Rating Scale (9Q) is an alternative assessment tool that was developed for assessing the severity of depressive symptoms in Thai adults. This study aimed to examine the factor structure of this tool based on the factor structure models for the PHQ-9 provided in previous studies using confirmatory factor analysis (CFA). We also examined the association of chronic diseases and depressive symptoms using the Multiple Indicators Multiple Causes model among 1346 participants aged 19 years old or more without psychiatric disorders. The results show that the two-factor CFA model with six items in the cognitive-affective domain and three items in the somatic domain provided the best fit for depressive symptoms in the study population (RMSEA = 0.077, CFI = 0.953, TLI = 0.936). Dyslipidemia was positively associated with both cognitive-affective symptoms (β = 0.120) and somatic depressive symptoms (β = 0.080). Allergies were associated with a higher level of cognitive-affective depressive symptoms (β = 0.087), while migraine (β = 0.114) and peptic ulcer disease (β = 0.062) were associated with a higher level of somatic symptoms. Increased age was associated with a lower level of somatic symptoms (β = -0.088). Our findings suggested that considering depressive symptoms as two dimensions yields a better fit for depressive symptoms. The co-occurrence of chronic diseases associated with depressive symptoms should be monitored.

Symptom patterns of comorbid depression and anxiety among older adults in China and their predictors

Comorbid depression and anxiety causes serious psychological and physiological damage for older people. This study aimed to identify heterogeneous classes of comorbid depression and anxiety (CDA) among older people in China and to ascertain predictors of latent class membership. Cross-sectional data of 10,919 cases were extracted from the Chinese Longitudinal Healthy Longevity Survey. Latent profile analysis (LPA) was used to identify symptom patterns of comorbid depression (measured by the 10-item Center for Epidemiologic Studies Depression Scale) and anxiety (measured by the Generalized Anxiety Disorder 7-item Scale). Multinomial logistic regressions following bivariate analyses were used to explore the relationship between the derived classes and individual- and social-level factors. Four patterns of CDA were identified: low symptoms of depression and anxiety (30.52%; n = 3333), mild depression only (53.26%; n = 5815), moderate depression and anxiety (13.82%; n = 1509), and severe depression and anxiety (2.40%; n = 262). Older people who are male, suffer from multimorbidity, and lack a healthy lifestyle are more likely to have problematic symptom profiles. While intimate relationships with partners and children significantly predicted CDA patterns, the effects of sibling relationships, daily life, and emotional support from the community were insignificant. LPA identified four distinct CDA patterns among a representative sample of older Chinese people. While restless sleep, lack of positive emotions, uselessness, and weak concentration are salient across all profiles, "difficult to relax" is prominent in profiles high in anxiety. In addition to individual-level variables, social-level factors, especially intimate relationships with partners and children rather than general links to siblings or the community, have unneglectable impacts on whether and to what extent older Chinese adults suffer from CDA in the cultural context of relationism, patriarchy, and filial piety.

Association between household income and mental health among adults during the COVID-19 pandemic in Korea: Insights from a community health survey

People of low socioeconomic status are vulnerable to health problems during disasters such as the COVID-19 pandemic. Using data from the 2019 and 2021 Korea Community Health Survey, this study analyzed the associations between Korean adults' mental health and their national and regional-level household incomes during the pandemic. The prevalence of perceived stress and depression experience for each risk factor category was calculated through univariate analyses. A multivariate logistic regression analysis helped identify the association between two types of income levels (national or regional) and perceived stress and experience of depression. Additionally, we investigated the effect of income levels by subgroup (gender and residential area) on perceived stress and the experience of depression. During the pandemic, the crude prevalence of an experience of depression was higher (6.24% to 7.2%) but that of perceived stress remained unchanged. Regarding regional-income based mental health disparities, even after adjusting for each independent variable, perceived stress (2019 odds ratio (OR): 1.26, 95% confidence interval (CI):1.26-1.27, 2021 OR: 1.32, 95% CI: 1.32-1.32) and experience of depression (2019 OR: 1.56, 95% CI: 1.55-1.56, 2021 OR: 1.63, 95% CI: 1.63-1.64) increased as the income level decreased. The perceived stress based on the two income levels was higher in women than in men. For both income levels, the experience of depression of women was higher than that of men before COVID-19 and vice versa during the COVID-19 period. National income had a more pronounced effect on mental health in urban areas than in rural areas. Contrarily, the effect of regional income level on mental health was not consistent across residential areas (urban and rural areas). Our findings demonstrated that mental health disparities based on income level were more likely to occur during the COVID-19 pandemic and are better reflected through disparities in regional income levels.

Can digital finance mitigate trust issues for chronically ill patients because of relative deprivation of income?

Objective

The relative deprivation of income among chronically ill patients may create a perception of inequity in their access to quality healthcare, which may lead to a decline in patients' trust and further increases the burden of chronic diseases. Digital finance could be the antidote. To promote equity in healthcare delivery, this study explores the mitigating effect of digital finance by elucidating the relationship between relative deprivation of income and chronically ill patients' trust.

Methods

Using data from the China Family Panel Study, a Poisson regression model was applied to assess the effect of relative deprivation of income on chronically ill patients' trust. A marginal effect analysis was used to verify the effect and a two-stage least squares method was used to test robustness.

Results

Chronically ill patients' trust was at a medium level (5.98 ± 2.05). Relative deprivation of income significantly reduced patients' trust (β=-0.056, p < 0.1). The digital finance had a positive effect on patients' trust (β=0.035, p < 0.01) and alleviated the negative effect of relative deprivation of income on patients' trust (β=0.105, p < 0.01). The instrumental variable estimation results confirmed the robustness of the benchmark regression results.

Conclusions

The inequity resulting from relative deprivation of income undermines patients' trust. Digital finance has a long-term effect on alleviating perception of inequity among chronically ill patients. The government should promote the integration of digital finance and smart healthcare to enhance patients' trust and contribute to equality in healthcare delivery. Limitations include self-reported data and an insufficient correlation between selected indicators and healthcare services.

The impact of women's off-farm employment on depressive symptoms: Evidence from rural China

While China's economy has grown rapidly in recent decades, urban-rural inequalities in mental health have persisted, and depression is more prevalent among rural women. Using a nationally-representative survey data in China, this paper investigates the impact of women's off-farm employment on their depressive symptoms. Results from instrumental variable and individual fixed effects estimation show that women's participation in off-farm employment leads to a significant reduction in depressive symptoms. We further take into account the confounding effects of working conditions, and the main results are robust. Moreover, off-farm employment enhances women's mental health mainly through pathways including increased absolute income, higher self-perceived relative income, more frequent healthy behaviors, increased likelihood of health investment, and obtaining more formal social support. Further evidence suggests that the depression-reducing effect of off-farm employment is more effective for those with more severe depressive symptoms, middle-aged and elderly persons, and women with lower body mass index. The findings have important implications for preventing depressive disorders and improving mental health in China and other developing countries.

Effects of material hardship on depression among adults in South Korea: insights from by the Korea Welfare Panel Study 2008-2017

BACKGROUND

Low socioeconomic status deemed by income-based measures is a risk factor for depression. Material hardship is commonly used as a multidimensional socioeconomic indicator to identify the struggles that low-income households encounter that are not captured by conventional income-based measures. The aim of this study was to examine the effect of material hardship on depression.

METHODS

We used wave 3 (2008) to wave 12 (2017) panel data collected by the Korea Welfare Panel Study. The material hardship measure included six dimensions: food, housing, medical care, paying utility bills, education, and financial hardship. Depression was measured using the Center for Epidemiologic Studies Depression Scale (CESD-11). A generalised estimating equation model was applied to test the causal association between material hardship and log transferred CESD-11.

RESULTS

The first time point comprised 3,866 participants. Those who continually experienced material hardship had higher depression scores (male: β = 2.82, female: β = 3.98, p-value: < .0001). Food hardship was the most critical risk factor (male: β = 3.29, female: β = 4.05, p-value: < .0001).

CONCLUSIONS

Material hardship is associated with increased risk of depression, especially food hardship. We should consider guaranteeing food security, and community and policy makers should consider material hardship in their approach when identifying low-income populations at high risk for depression.

Do Social Pension Schemes Promote the Mental Health of Rural Middle-Aged and Old Residents? Evidence From China

As China experiences rapid aging, the mental health of older rural adults has become a major public health concern. Among other social insurance programs, the New Rural Social Pension (NRSP) scheme was established to replace part of the income for old-age rural residents in China. This article employs survey data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015 and 2018 to investigate the impact of a pension on depression in middle-aged and old residents. Our results show that the pension scheme not only reduces the depressive symptoms of the rural residents but keeps down the prevalence rate of depression. Among the subscribers of the pension scheme, the pensioners benefit more from enrolling in the pension scheme than the contributors in terms of depression alleviation. The impact of pension on depression displays heterogeneity; female residents, residents in central China, and/or those from lower income households are found to be positively affected. It is also confirmed that a pension scheme contributes to easing depression via reduced labor supply, better family support, and more consumption expenditure.

JEL Classification: H55, I18, I38.

Income, Relative Deprivation and the Self-Rated Health of Older People in Urban and Rural China

Background: Substantial evidence indicated that absolute income is directly associated with health. Few studies have, however, examined if relative income may be equally associated with health. This study aimed to investigate the association between absolute income/relative deprivation (RD) and self-rated health (SRH). We also investigated whether the urban-rural difference was existing in these associations.

Methods: Using cross-sectional data of 7,070 participants in the Shandong Family Health Service Survey of older people, this study applied binary logistic model and semi-parametric model to estimate the effect of absolute income and relative deprivation on SRH of older people. The Kakwani Index was used as a measure of relative deprivation at the individual level.

Results: Absolute income has a significant positive effect on the SRH among both urban and rural older people. When considered RD as a variable, both absolute income and RD have negative significant effects on SRH among all older people. In addition, the negative effect of RD on rural elderly is more pronounced than that of urban older populations. Semi-parametric regression results show that there was a complex non-linear relationship between income and SRH. Psychological distress substantially attenuated the association between relative deprivation and SRH.

Conclusions: Relative deprivation is negatively associated with self-rated health in both urban and rural older people after controlling the absolute income. RD may partly explain the association between income inequality and worse health status. Compared with the urban elderly, the effect of income-based relative deprivation on SRH was more pronounced among the rural elderly, and more care should be given to the lower income and rural older populations.

Factors Associated with Happiness among Malaysian Elderly

Happiness is an essential component to experience healthy ageing. Hence, understanding the factors that contribute to happiness is important. This study aimed to determine the factors associated with happiness among the elderly population in Malaysia. In this study, 1204 respondents were recruited from urban and rural areas in Selangor. A face-to-face interview was conducted using the Bahasa Malaysia version of the Japan Gerontological Evaluation Study questionnaire. The inclusion criteria include Malaysians who are 60-years old and above and can converse in the Malaysian language. Those who encounter less than seven scores for the Abbreviated Mental Test were excluded from the study. Among the 1204 respondents, 953 (79.2%) were happy. Sociodemographic characteristics showed that being a men, age of 60 to 74 years, and living in urban areas were significantly associated with happiness. A logistic regression model showed that locality (aOR 1.61), income category (Bottom 40% aOR 0.49; Middle-class group 40% aOR 1.40), social engagement (active aOR 1.77; less active aOR 1.25), receiving emotional support (aOR 2.11) and handgrip strength (aOR 1.02) were significantly associated with happiness. Thus, ensuring the elderly population in receiving emotional support and active social engagement among them can enhance their happiness level.

How does personal relative deprivation affect mental health among the older adults in China? Evidence from panel data analysis

OBJECTIVE

The mental health has become an important public health issue in China. This study aimed to use panel data to explore how personal relative deprivation affects mental health among older adults in China.

METHODS

The panel data of this study was obtained from the 2011 and 2014 waves of Chinese Longitudinal Healthy Longevity Survey (CLHLS). Furthermore, we used a panel data model to investigate the effect of personal relative deprivation on mental health among the older adults.

RESULTS

Results from the panel data model show that greater feelings of relative economic deprivation were associated with lower level of cognitive function (coefficient = -0.3706, p < 0.01). Relative economic status adversely affected the psychological health (coefficient = -0.3636, p < 0.001). Social participation, physical exercise, and smoking accounted for 3.13%, 1.43%, and 0.19% of the effect of relative economic status on cognitive function, respectively. The most important channel involving the effect of relative economic status on psychological health is social participation (1.62%), followed by physical exercise (0.80%) and smoking (0.14%).

CONCLUSION

Our findings suggest that personal relative deprivation has negative effects on cognitive function and psychological health. Furthermore, the regression results also indicate that the negative health effect of personal relative deprivation shows significant age, gender, and urban-rural disparities. Moreover, there is evidence that social participation is an important transmission channel involving the effect of personal relative deprivation on mental health. Reducing personal relative deprivation can improve the mental health of the older adults.

State and Trait Anxiety Among University Students: A Moderated Mediation Model of Negative Affectivity, Alexithymia, and Housing Conditions

Objective

Starting university education is a crucial period for the mental health of students, who report higher levels of distress compared to the general population. This study sought to better understand the distress experienced by students by considering contextual facets (e.g., housing conditions) as well as stable clinical variables (e.g., negative affectivity, emotion regulation, and anxiety).

Methods

A total of 177 University students (71.2% females) aged 18-29 were administered the State-Trait Anxiety Inventory-Y, the Beck Depression Inventory-II, the Suicidal History Self-Rating Screening Scale, the Personality Inventory for DSM-5-Brief Form, and the Toronto Alexithymia Scale-20.

Results

University students showed concerning levels of distress, particularly concerning anxiety, and depression. We found that the relationship between negative affectivity and both state and trait anxiety was mediated by alexithymia but housing conditions did not act as a moderator for the indirect effect of negative affectivity on state or trait anxiety through alexithymia.

Conclusion

Undoubtedly, university lifestyle can be demanding, but experiencing distress is not inevitable nor inexplicable. The present study sought to gain insight into the anxiety experienced by Italian University students while taking into account the importance of personality and clinical characteristics that have previously been widely underestimated. We found that these characteristics can be of extreme importance for developing preventative and therapeutic interventions tailored to the clinical characteristics of students, as well taking into account their living environment.