Role of socioeconomic status and housing conditions in geriatric depression in rural China: a cross-sectional study

Interpersonal interactions, sense of loneliness and perceived depressive emotions among older adults: A cultural-psychological perspective from heterogeneous roles of different relationships

In the context of the "Chinese Differential Mode of Association" in traditional Chinese culture, this paper examines the heterogeneous effects of interpersonal interactions in different relationships on older adults' depressive emotions from a cultural-psychological perspective. Results using data from Chinese General Social Survey demonstrate that: interactions with children are the most helpful in reducing perceived depression for the elderly, followed by communications with siblings and relatives. However, interactions with friends and other fellows do not significantly reduce older people's perceived depression. This reflects the "Chinese Differential Mode of Association" in interpersonal relationships. When using different perceived depression measures, and Double Debiased Machine Learning (DDML) approaches for robustness and endogeneity tests, above findings are very robust. The impact mechanism is that interactions with children and siblings reduce depressive emotions by decreasing older adults' sense of loneliness, while communications with others do not have such a significant effect. This paper further discusses the roles of different types of interactions with adult children. It is found that receiving and providing emotional support can prominently decrease depressive emotions for older people, whereas the effects of monetary support and non-material assistance are less pronounced. In addition, interpersonal interactions' impacts are more significant for those who are female, older than 75 and with poorer health, as well as older people who exercise less frequently, have higher social status, and hold more traditional beliefs. In the current context of active promotion of healthy aging, findings of this paper have important implications for a deeper understanding and scientific management of depressive emotions among the elderly.

Socioeconomic inequalities in the relationship between internet usage patterns and depressive symptoms: Evidence from a Chinese longitudinal study

Background

The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association.

Methods

We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals' internet usage patterns and multiple linear regression to determine their association with depressive symptoms.

Results

Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20).

Conclusions

Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

Potential transition of depression of older adults affected by socioeconomic status show different styles: A longitudinal study of Chinese older adults

Socioeconomic status' (SES) impact on depressive symptoms has been extensively examined; however, previous studies have generally used variable-centered approaches and cross-sectional designs. Therefore, this study explored the subtypes of depression and examined the degree of association between SES and latent transition probabilities. We used latent profile and latent transition analyses with the 2015 and 2018 waves of data from the China Health and Retirement Longitudinal Study (N = 4904). Three subtypes of depression were identified based on symptoms: severe symptom (SS), low symptom (LS), and sub-health (MS). The SS subtype had the highest probability of staying within the original subtype. Individuals in the MS subtype were more likely to move to the SS subtype than those in the LS subtype. The heterogeneity analysis also showed that the effect of SES on latent transition probabilities is heterogeneous to the satisfaction with their relationship with their children, as well as the number of children. Additionally, decision tree analysis found SES and gender can predict transitioning. These findings add to literature on the effects of SES on the heterogeneity of depression and have implications for depression screening and identifying individuals in need of targeted interventions.

Housing conditions, cooking fuels, and health-related quality of life among rural middle-aged and elderly in northwest China: A ten-year balanced panel study

To investigate the impacts of improving housing conditions and transitioning to clean cooking fuels on health-related quality of life (HRQOL) among middle-aged and elderly populations in rural China.

METHODS

Using a 10-year longitudinal follow-up study, we examined changes in housing conditions, cooking fuel use, and HRQOL among 690 Chinese adults aged 45 above in rural areas. HRQOL was assessed using the European Quality of Life-5 Dimensions 3 Levels (EQ-5D-3L) questionnaire. Generalized estimating equations were utilized to analyze correlations between variables.

RESULTS

Using four-period balanced panel data of 10 years, there were significant differences in the self-reporting of mobility, self-care, usual activities, pain / discomfort and anxiety / depression in rural middle-aged and elderly people (p < 0.05). In terms of the EQ-5D index score and EQ-VAS score, showed a decreasing trend (p < 0.05). The housing area, housing material type, utilization of sanitary toilets, separation of housing and kitchen were separated and non-solid fuels used as cooking fuel were significantly associated with high HRQOL (p < 0.05).

CONCLUSIONS

This study found that good housing conditions and the use of non-solid cooking fuel had positive effects on health-related quality of life of middle-aged and elderly people in rural areas of northwest China.

Living arrangements and depression of the older adults- evidence from the Chinese longitudinal healthy longevity survey

BACKGROUND

The mental health and living arrangements of older adults are worthy of attention. Previous studies have pointed out that the living arrangements may be related to older adults' depression. However, it has not been found that studies concern the relationship between actual living arrangements, living arrangement preferences, and the fit between living arrangement preferences and reality and depression in older adults, so we carried out this study.

METHODS

The data from the Chinese longitudinal healthy longevity survey were used in this study. With the older adults' depression as the dependent variable and the living arrangement related variables as the independent variable, we constructed three binary-logistic regression analysis models to explore the potential relationship between living arrangement related variables and depression in older adults.

RESULTS

We found that the actual living arrangements, living arrangement preferences, and the fit between living arrangement preferences and reality are significantly correlated with depression in older adults. Specifically, older adults living alone or only with the spouse are at greater risk of depression. Older adults who prefer living alone or only with the spouse are at relatively low risk of depression. Older adults whose living arrangement preferences do not match reality have a higher risk of depression.

CONCLUSION

The living arrangement related variables are significantly correlated with depression in older adults. In addition to the actual living arrangements, living arrangement preferences and whether the living arrangement preferences fit with reality are also related to the depression of older adults.

Association between chronic diseases and depression in the middle-aged and older adult Chinese population-a seven-year follow-up study based on CHARLS

Background

With the aging of the Chinese population, the prevalence of depression and chronic diseases is continually growing among middle-aged and older adult people. This study aimed to investigate the association between chronic diseases and depression in this population.

Methods

Data from the China Health and Retirement Longitudinal Study (CHARLS) 2011-2018 longitudinal survey, a 7-years follow-up of 7,163 participants over 45 years old, with no depression at baseline (2011). The chronic disease status in our study was based on the self-report of the participants, and depression was defined by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). The relationship between baseline chronic disease and depression was assessed by the Kaplan-Meier method and Cox proportional hazards regression models.

Results

After 7-years follow-up, 41.2% (2,951/7163, 95% CI:40.1, 42.3%) of the participants reported depression. The analysis showed that participants with chronic diseases at baseline had a higher risk of depression and that such risk increased significantly with the number of chronic diseases suffered (1 chronic disease: HR = 1.197; 2 chronic diseases: HR = 1.310; 3 and more chronic diseases: HR = 1.397). Diabetes or high blood sugar (HR = 1.185), kidney disease (HR = 1.252), stomach or other digestive diseases (HR = 1.128), and arthritis or rheumatism (HR = 1.221) all significantly increased the risk of depression in middle-aged and older adult Chinese.

Conclusion

The present study found that suffering from different degrees of chronic diseases increased the risk of depression in middle-aged and older adult people, and these findings may benefit preventing depression and improving the quality of mental health in this group.

Late-life depression: Epidemiology, phenotype, pathogenesis and treatment before and during the COVID-19 pandemic

Late-life depression (LLD) is one of the most common mental disorders among the older adults. Population aging, social stress, and the COVID-19 pandemic have significantly affected the emotional health of older adults, resulting in a worldwide prevalence of LLD. The clinical phenotypes between LLD and adult depression differ in terms of symptoms, comorbid physical diseases, and coexisting cognitive impairments. Many pathological factors such as the imbalance of neurotransmitters, a decrease in neurotrophic factors, an increase in β-amyloid production, dysregulation of the hypothalamic-pituitary-adrenal axis, and changes in the gut microbiota, are allegedly associated with the onset of LLD. However, the exact pathogenic mechanism underlying LLD remains unclear. Traditional selective serotonin reuptake inhibitor therapy results in poor responsiveness and side effects during LLD treatment. Neuromodulation therapies and complementary and integrative therapies have been proven safe and effective for the treatment of LLD. Importantly, during the COVID-19 pandemic, modern digital health intervention technologies, including socially assistive robots and app-based interventions, have proven to be advantageous in providing personal services to patients with LLD.

A hybrid machine learning model of depression estimation in home-based older adults: a 7-year follow-up study

BACKGROUND

Our aim was to explore whether a two-step hybrid machine learning model has the potential to discover the onset of depression in home-based older adults.

METHODS

Depression data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2,548) recruited in the China Health and Retirement Longitudinal Study were included in the current analysis. The long short-term memory network (LSTM) was applied to identify the risk factors of participants in 2015 utilizing the first 2 waves of data. Based on the identified predictors, three ML classification algorithms (i.e., gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUROC) to estimate the depressive outcome.

RESULTS

Time-varying predictors of the depression were successfully identified by LSTM (mean squared error =0.8). The mean AUCs of the three predictive models had a range from 0.703 to 0.749. Among the prediction variables, self-reported health status, cognition, sleep time, self-reported memory and ADL (activities of daily living) disorder were the top five important variables.

CONCLUSIONS

A two-step hybrid model based on "LSTM+ML" framework can be robust in predicting depression over a 5-year period with easily accessible sociodemographic and health information.

Ecological Sustainability and Households' Wellbeing: Linking Households' Non-Traditional Fuel Choices with Reduced Depression in Rural China

A sustainable and pleasant environment is deemed to offer various positive externalities such as scenic, visual and behavioral archetypes and patterns exhibiting in various forms. Such a scenario can significantly relieve households from many psychological and personal complications such as depression. Depression has aroused great concerns in recent years due to its personal and social burdens and unforeseeable damage. Many studies have explored the effects of air pollution caused by traditional fuel consumption on depression. However, limited evidence is available on how household non-traditional fuel choices affect depression. Based on a nationally representative dataset collected from China Family Panel Studies (CFPS) in 2012, this paper employs an endogenous switching regression (ESR) model and an endogenous switching probit (ESP) model to address the endogenous issue and to estimate the treatment effects of non-traditional fuel choices on depression in rural China. The empirical results show that non-traditional fuel users have significantly lower Epidemiologic Studies Depression Scale (CES-D) scores, indicating non-traditional fuel users face a lower risk of depression. Compared to solid fuels, employing non-traditional fuels will lead to a 3.659 reduction in depression score or decrease the probability of depression by 8.2%. In addition, the results of the mechanism analysis show that household non-traditional fuel choices affect depression by reducing the probability of physical discomfort and chronic disease. This study provides new insight into understanding the impact of air pollution in the house on depression and how to avoid the risk of depression in rural China effectively.

The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform

BACKGROUND

The sociodemographic characteristics and clinical features of the Late-life depression (LLD) patients in psychiatric hospitals have not been thoroughly studied in China. This study aimed to explore the psychiatric outpatient attendance of LLD patients at a psychiatric hospital in China, with a subgroup analysis, such as with or without anxiety, gender differences.

METHODS

This retrospective study examined outpatients with LLD from January 2013 to August 2019 using data in the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in Beijing Anding Hospital. Age, sex, number of visits, use of drugs and comorbid conditions were extracted from medical records.

RESULTS

In a sample of 47,334 unipolar depression patients, 31,854 (67.30%) were women, and 15,480 (32.70%) were men. The main comorbidities of LDD are generalized anxiety disorder (GAD) (83.62%) and insomnia (74.52%).Among patients with unipolar depression, of which benzodiazepines accounted for the largest proportion (77.77%), Selective serotonin reuptake inhibitors (SSRIs) accounted for 59.00%, a noradrenergic and specific serotonergic antidepressant (NaSSAs) accounted for 36.20%. The average cost of each visit was approximately 646.27 yuan, and the cost of each visit was primarily attributed to Western medicine (22.97%) and Chinese herbal medicine (19.38%). For the cost of outpatient visits, depression comorbid anxiety group had a higher average cost than the non-anxiety group (p < 0.05). There are gender differences in outpatient costs, men spend more than women, for western medicine, men spend more than women, for Chinese herbal medicine, women spend more than men (all p < 0.05). The utilization rate of SSRIs and benzodiazepines in female patients is significantly higher than that in male patients (p < 0.05).

CONCLUSION

LLD patients are more commonly women than men and more commonly used SSRIs and NaSSAs. Elderly patients with depression often have comorbid generalized anxiety. LLD patients spend most of their visits on medicines, and while the examination costs are lower.

Exposure to indoor air pollution from solid fuel and its effect on depression: a systematic review and meta-analysis

A growing body of research has investigated the relationship between indoor air pollution from solid fuel and depression risk. Our study aimed to elucidate the relationship between indoor air pollution from solid fuel and depression in observational studies. The effect of indoor air pollution on depression was estimated using pooled odds ratios (ORs) with 95% confidence intervals (CIs). Heterogeneity was evaluated by the I-squared value (I²), and the random-effects model was adopted as the summary method. We finalized nine articles with 70,214 subjects. The results showed a statistically positive relationship between the use of household solid fuel and depression (OR = 1.22, 95% CI = 1.09-1.36). Subgroup analysis based on fuel type groups demonstrated that indoor air pollution from solid fuel was a higher risk to depression (OR = 1.24, 95% CI = 1. 10-1.39; I² = 67.0%) than that from biomass (OR = 1.18, 95% CI = 0.96-1.45; I² = 66.5%). In terms of fuel use, the use of solid fuel for cooking and heating increased depression risk, and the pooled ORs were 1.21 (95% CI = 1.08-1.36) and 1.23 (95% CI = 1.13-1.34). Exposure to indoor air pollution from solid fuel might increase depression risk.

Hospitalization Risks for Neurological Disorders in Primary Sjögren's Syndrome Patients

Primary Sjögren’s syndrome (pSS) can be associated with neurological and cognitive involvement, negatively affecting patients’ quality of life. The aim of this study was to assess whether pSS patients are at higher risk of hospitalization for neurological diseases. Through a nationwide retrospective study using the French Health insurance database (based on International Classification for Disease codes, ICD-10), we selected patients hospitalized with new-onset pSS between 2011 and 2018. We compared the incidence of hospitalization for dementia, multiple sclerosis (MS), encephalitis, and peripheral neuropathy with an age- and sex-matched (1:10) hospitalized control group. Adjusted Hazard Ratios (aHR) considered confounding factors, particularly socio-economic status and cardiovascular diseases. We analyzed 25,661 patients hospitalized for pSS, compared with 252,543 matched patients. The incidence of hospitalization for dementia was significantly higher in pSS patients (aHR = 1.27 (1.04−1.55); p = 0.018), as well as the incidence of hospitalization for MS, encephalitis, and inflammatory polyneuropathies (aHR = 3.66 (2.35−5.68), p < 0.001; aHR = 2.66 (1.22−5.80), p = 0.014; and aHR = 23.2 (12.2−44.5), p < 0.001, respectively). According to ICD-10 codes, pSS patients exhibited a higher incidence of hospitalization for dementia, encephalitis, MS, and peripheral neuropathies than controls. Physicians must be aware of these neurological risks to choose the most appropriate diagnostic work-up.

Impact of Religious Activities on Quality of Life and Cognitive Function Among Elderly

Religiosity and spirituality have previously been found to have significant effects on mental and physical health. This study aimed to compare elderly people utilizing different types of religious activities in their daily routine and the effects upon their quality of life and cognitive function. A cross-sectional study was conducted among elderly people dwelling in suburban areas of Malaysia. The Malay version of Short Form (36) Health Survey (SF-36), Geriatric Depression Scale (GDS-15), Older Americans Resources and Services's Instrumental Activities of Daily Living (OARS's IADL), and the Montreal Cognitive Assessment (MoCA) questionnaires were used in this study. Independent t test was utilized to determine the difference in the quality of life and the cognitive function between groups of elderly people that were categorized based on their level of participation in different religious activities. The study involved 432 participants. The mean score for all domain of SF-36 was significantly higher among those who engaged in the religious activities as compared to those elderly who were either less engaged or did not practice religious activities. The mean score of GDS-15, OARS's IADL, and MoCA was also significantly higher among those who participated in religious activities. There was a significant impact on the quality of life and cognitive function among elderly people practicing religious activities. This study proved the importance of practicing religious activities among the elderly in achieving healthy aging.

Symptoms of internet gaming disorder among male college students in Nanchong, China

BACKGROUND

This study aimed to evaluate the presence of symptoms of Internet Gaming Disorder (IGD) and examined associations between IGD and depressive symptoms, family and peer support among male college students in Nanchong, China.

METHODS

A cross-sectional study was conducted among 2533 male students in three colleges. Background characteristics, depressive symptoms, family and peer support and IGD information were collected. Binary logistic regression was performed to access the relationship between variables and IGD. PROCESS macro was used to examine the mediation analysis of family and peer support on the relationship between depressive symptoms and IGD.

RESULTS

The estimated presence of symptoms of IGD was 11.6%. The most commonly endorsed items were escapism, continuation and preoccupation both among total participates and the IGD group. In the binary logistic regression, general expenditure per month, depressive symptoms, and family and peer support revealed their significance in associations with IGD. Adjusted for the significant background variable, depressive symptoms and family and peer support remained significance. Additionally, family and peer support would attenuate the relationship between depressive symptoms and IGD.

CONCLUSIONS

This study found that one in ten male college students reported clinically significant IGD symptoms, which indicate that IGD is an important public health problem in Nanchong, China.

Factors affecting the evolution of Chinese elderly depression: a cross-sectional study

Background

In the past decades, China’s rapid economic growth has been accompanied by rapid changes in lifestyle and an increasing prevalence of mental disorders. This study explored the changes and factors associated with depression among the elderly population of China from 2011 to 2018.

Method

Data were obtained from the China Health and Retirement Longitudinal Study. The total sample size consists of 21,484 individuals aged ≥60 years, and the sample sizes in 2011, 2013, 2015 and 2018 were 5081, 4853, 5207, 6343, respectively. Depressive symptoms were measured by the 10-item Short-Form developed by the Center for Epidemiological Studies Depression.

Result

We found that the tendency in depression rate of the Chinese elderly from 2011 (36.8%) to 2018 (44.5%). The results showed poor health (OR = 3.553), ADL damage (OR = 2.010), multiple chronic diseases (OR = 1.287), and western (OR = 1.777) are risk factors for depression.

Conclusion

The rate of depression of the elderly people in China has risen dramatically. Therefore, additional steps to prevent, treat and care for the affected population are needed, Mental health prevention and treatment strategies should be incorporated into China’s public health policies in a timely manner to mitigate the serious economic burden caused by the increase of depression.

Impact of Multimorbidity on Symptoms of Depression, Anxiety, and Stress in Older Adults: Is There a Sex Difference?

Introduction: Multimorbidity has become a key issue in the health care sector globally, and it can also lead to psychological distress in older adults. This study aimed to assess the impact of multimorbidity on depression, anxiety, and stress symptoms and identify whether there is a sex difference in these associations.

Methods: A cross-sectional study using a multistage random sampling method was conducted among 3,266 older adults in China. Multiple linear regression models were used to estimate the independent associations between multimorbidity and depression, anxiety, and stress symptoms. Furthermore, interaction analysis was employed to investigate the interaction effect of multimorbidity and sex on depression, anxiety, and stress symptoms.

Results: A total of 3,250 participants aged 60 years and older were included in this study. Our findings suggest that multimorbidity is strongly positively associated with depression, anxiety, and stress symptoms. In addition, the positive relations between multimorbidity and depression, anxiety, and stress symptoms are stronger for older female than male adults.

Conclusion: Old adults with multimorbidity are more likely have depression, anxiety, and stress symptoms. This study offers new insight for the mental health from the perspective of multimorbidity among older people, implies that encouraging the accessibility of treatment for multimorbidity in older people with different sex may be effective in promoting mental health in China.

Socioeconomic status and depressive symptoms in older people with the mediation role of social support: A population-based longitudinal study

BACKGROUND

Depressive symptoms has become an increasingly important public health issue, contributing to disability and disease burden around the world. Higher socioeconomic status (SES) has been found to be associated with lower prevalence of depression, but there are few studies about the older Chinese adults with long-term follow up and rigorous prospective design. Meanwhile, there is little conclusive evidence about the mechanisms through which SES influences the onset of depressive symptoms.

OBJECTIVE

To prospectively examine the association of baseline socioeconomic factors with the risks of developing depressive symptoms during 7-year follow up in older Chinese population, and to study the mechanism by which SES impacts the prevalence of depressive symptoms.

METHODS

A total of 5677 individuals over 45 years who participated in an ongoing nationally representative prospective cohort study, China Health and Retirement Longitudinal Study, were free from depressive symptoms at baseline, and completed 7-year follow-up were included. Depressive symptoms were assessed using the 10-item Center for Epidemiological Studies Depression Scale score. Cox proportional hazards regression models were used to examine the association of SES and the incidence of depressive symptoms in 2011 to 2018. Generalized structural equation model was used to analyze the mediation effects of social support on the relation between SES and depressive symptoms.

RESULTS

During the 7-year follow-up, 2398 (42.2%) cases were identified as depressive symptoms. Compared with the lowest level of household income, participants with the highest level of household income had a 20% reduction in risk (95% CI, 0.70-0.92, P < 0.001). Participants who had junior high school or above education had a 41% lower risk of depressive disorders compared with illiterate participants (95% CI, 0.52-0.69, P < 0.001). The relationship between SES and depressive symptoms was partially mediated by the social support, where higher social support was negatively associated with depressive symptoms. The proportion of mediation effect was even larger for women compared with men.

CONCLUSION

Socioeconomic factors were independently associated with the development of depressive symptoms, and the relationship was partially mediated by social support. Social support could be an effective intervention to alleviate the negative effects of lower SES on mental health. Multiple-level policies should precisely target low-SES groups, and timely intervention to promote social support for this group should be used to reduce the influence of depression on individuals, family as well as the whole society.

Education, household income, and depressive symptoms in middle-aged and older Japanese adults

Background

Income inequality has dramatically increased worldwide, and there is a need to re-evaluate the association between socio-economic status (SES) and depression. Relative contributions of household income and education to depression, as well as their interactions, have not been fully evaluated. This study aimed to examine the association between SES and depressive symptoms in Japanese adults, focusing on interactions between education and household income levels.

Methods

This cross-sectional study used data from baseline surveys of two cohort studies. Participants were 38,499 community-dwelling people aged 40–74 years who participated in baseline surveys of the Murakami cohort study (2011–2012) and Uonuma cohort study (2012–2015) conducted in Niigata Prefecture, Japan. Information regarding marital status, education level, household income, occupation, activities of daily living (ADL), and history of cancer, myocardial infarction, stroke, and diabetes was obtained using a self-administered questionnaire. Depressive symptoms were examined using the Center for Epidemiologic Studies Depression Scale (CES-D). Logistic regression analysis was used to obtain odds ratios (ORs). Covariates included age, sex, marital status, education, household income, occupation, ADL, and disease history.

Results

Individuals with higher education levels had lower ORs (adjusted P for trend = 0.0007) for depressive symptoms, independently of household income level. The OR of the university-or-higher group was significantly lower than that of the junior high school group (adjusted OR = 0.79). Individuals with lower household income levels had higher ORs (adjusted P for trend< 0.0001) for depressive symptoms, independently of education level. The type of occupation was not associated with depressive symptoms. In subgroup analyses according to household income level, individuals with higher education levels had significantly lower ORs in the lowest- and lower-income groups (adjusted P for trend = 0.0275 and 0.0123, respectively), but not in higher- and highest-income groups (0.5214 and 0.0915, respectively).

Conclusions

Both education and household income levels are independently associated with the prevalence of depressive symptoms, with household income levels showing a more robust association with depressive symptoms than education levels. This suggests that a high household income level may offset the risk of depressive symptoms from having a low education level.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12168-8.

WITHDRAWN: Health risk assessment of rural older population

Ahead of Print article withdrawn by publisher.

Late-Life Depression: A Narrative Review on Risk Factors and Prevention

After participating in this activity, learners should be better able to:• Identify risk factors for late-life depression• Evaluate strategies to prevent late-life depression ABSTRACT: Late-life depression (LLD) is one of the major sources of morbidity and mortality in the world. Because LLD is related to increased public health burden, excess health care costs and utilization, reduced quality of life, and increased mortality, prevention is a priority. Older adults differ from younger adults with respect to key features, such as their chronicity and lifetime burden of depression and their constellation of comorbidities and risk factors. LLD likely arises from a complex interplay of risk factors, including medical, physiologic, psychosocial, behavioral, and environmental factors. Thus, a comprehensive understanding of LLD risk factors is necessary to inform prevention strategies. In this narrative literature review, we address both the risk architecture of LLD and several potential strategies for prevention. Our description of LLD risk factors and prevention approaches is informed by the framework developed by the National Academy of Medicine (formerly, Institute of Medicine), which includes indicated, selective, and universal approaches to prevention.

The relationship between socioeconomic status and depression among the older adults: The mediating role of health promoting lifestyle

BACKGROUND

Depression is the most frequent psychiatric disorder among the older adults, the purpose of this study is to explore the mediation effect of health promoting lifestyle on the relationship between Socioeconomic Status (SES) and depression, so as to provide practical reference for effectively preventing and alleviating depression of the older adults.

METHODS

A multi-stage random sampling method was conducted in Shanxi Province. A total 8526 older adults were included in the analysis. Regression analysis was used to explore the relationship between the socioeconomic status, health promoting lifestyle and depression, and the mediation effect test process was used to verify the mediating mechanism of health promoting lifestyle on this relationship.

RESULTS

62.1% of the older adults had depression symptoms in this study, and there were significant differences in depression scores among the older adults with gender, age, residence, marital status, endowment pattern, self-care ability, exercise frequency, physical examination frequency, daily diet rules(P<0.05). The results of mediating effect analysis showed that health promoting lifestyle as mediation effect between social economic status and depression was established, and the mediating effect was accounted for (a*b/c) 63.1%.

LIMITATIONS

Given the cross-sectional study, it is not possible to make causal inferences.

CONCLUSIONS

There were different degrees of depression in the older adults. The lower the SES is, the higher the risk of depression is. This result once again confirms the social causation theory. Combined with the theory of health risk behavior, the study further confirmed the applicability of lifestyle mechanism in the intermediate mechanism of the relationship between SES and depression in the elderly. Thus, in addition to providing material support and financial assistance, helping the elderly develop a healthy lifestyle is also effective measure to improve their depression.

Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China

Housing is an important social determinant of mental health. However, few studies simultaneously measure the objective housing status (i.e., housing tenure, living space, housing conditions, and housing stability) and subjective housing status (i.e., housing satisfaction) as well as examine their effects on people's mental health (i.e., stress, anxiety, and depression). Thus, using a sample size of 1003 participants by two-stage random sampling survey in Guangzhou, China, this study applies multivariate ordinary least square regression models to comprehensively explore and compare the associations between objective and subjective housing status with mental health, and then analyze the moderating effects of subjective housing status on the relationships between objective housing status and mental health. The findings suggest that there are significant differences in people's mental health based on different housing status. The subjective housing status can better explain the variances in mental health than objective housing status. Also, subjective housing status may partly mitigate the adverse impacts of objective housing disadvantages on some aspects of an individual's mental health. Therefore, housing improvement policies and public health initiatives should be designed based on a comprehensive account of objective and subjective housing characteristics as well as their influences on specific aspects of mental health.

The Prevalence of Depressive and Insomnia Symptoms, and Their Association With Quality of Life Among Older Adults in Rural Areas in China

Background: There are few studies on the epidemiology of depression, insomnia, and their association with quality of life (QOL) in older adults living in rural China. This study examined the prevalence of depressive and insomnia symptoms, and their association with QOL in community-dwelling older adults in a rural area in Anhui province, China. Methods: This was a cross-sectional study conducted in the rural areas of four cities (Hefei, Huaibei, Anqing, and Xuancheng) in Anhui province between July and October, 2019 using random sampling method. All community-dwelling residents from the selected villages who met the study entry criteria were invited to participate in this study. Depressive and insomnia symptoms and QOL were assessed with the Chinese version of self-reported Center for Epidemiological Survey Depression Scale (CES-D), the Insomnia Severity Index (ISI) and the 26-item World Health Organization Quality of Life Brief version (WHOQOL-BREF), respectively. Results: A total of 871 older adults were included. The prevalence of overall depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms were 34.0% [95% confidence intervals (95% CI): 30.8-37.1%], 45.7% (95% CI: 42.4-49.0%) and 20.3% (95% CI: 17.6-23.0%), respectively. Older adults with depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms had lower scores in QOL compared to those without. Depressive symptoms were positively associated with living with families [Odd Ratio (OR) = 1.82, 95% CI: 1.31-2.54] and negatively associated with current drinking (OR = 0.49, 95% CI: 0.33-0.72). Insomnia symptoms were negatively associated with fair and good financial status (fair: OR = 0.53, 95% CI = 0.38-0.75; good: OR = 0.30, 95% CI = 0.14-0.64) and current drinking (OR = 0.64, 95% CI = 0.45-0.93), and positively associated with more frequent major medical conditions (OR = 1.32, 95% CI = 1.16-1.51). Comorbid depressive and insomnia symptoms were positively associated with living with families (OR = 2.02, 95% CI = 1.36-3.00), and negatively associated with fair and good financial status (fair: OR = 0.61, 95% CI = 0.41-0.89; good: OR = 0.34, 95% CI = 0.12-0.95) and current drinking (OR = 0.57, 95% CI = 0.35-0.92). Conclusion: Depressive and insomnia symptoms were common in older adults living in rural areas in China. Considering the negative health outcomes caused by depressive and insomnia symptoms, regular screening and effective treatments should be developed for this population.

Built form and depression among the Chinese rural elderly: a cross-sectional study

OBJECTIVES

Few data on the association between housing structure and depression among rural elders in China are available. We examined the impact of built forms on depression.

DESIGN

This is a cross-sectional study.

SETTING

A representative sample of rural residents aged 60 years or older in China.

PARTICIPANTS

A total of 5090 older adults in 2019 in rural Suzhou, China.

OUTCOME MEASURES

Associations of built form with odds of probable and possible depression.

RESULTS

There was significant difference among elders living in varied sizes of house. Older age (vs 60-64 years: 75-79 years AdjOR, 1.737; 95% CI, 1.309 to 2.305; ≥80 years AdjOR, 2.072; 95% CI, 1.439 to 2.981), male sex (AdjOR, 0.719; 95% CI, 0.593 to 0.871), single (AdjOR, 1.303; 95% CI, 1.032 to 1.646), self-care disability (AdjOR, 4.761; 95% CI, 3.960 to 5.724), three or more chronic diseases (AdjOR, 2.200; 95% CI, 1.657 to 2.920), living alone (AdjOR, 1.443; 95% CI, 1.059 to 1.966), living in cottage (AdjOR, 1.426; 95% CI, 1.033 to 1.967), living space (vs <50 m2: 201-250 m2 AdjOR, 0.566; 95% CI, 0.359 to 0.893; >250 m2 AdjOR, 0.337; 95% CI, 0.223 to 0.511) and space per person (vs <30 m2: 30- m2 AdjOR, 0.502; 95% CI, 0.362 to 0.697; 40- m2 AdjOR, 0.473; 95% CI, 0.347 to 0.646; 50- m2 AdjOR, 0.418; 95% CI, 0.339 to 0.515) were associated with risk of depression among Chinese rural elders.

CONCLUSION

The built form was significantly and meaningfully associated with depression among Chinese rural elders. More attention should be paid to preventing mental illness among the rural elderly living in the small housing area and cottages in China.

Relationship of Frailty Markers and Socioeconomic Status to Incidence of Depressive Symptoms in a Community Cohort

OBJECTIVES

This study aimed to examine the relationship between frailty markers and socioeconomic status (SES) to incidence of depressive symptoms using a nationally representative sample of middle-age and older adults.

DESIGN

Cohort study with a 4-year follow-up; 89.1% of the participants were followed for 2 years and 73.4% for 4 years.

SETTING AND PARTICIPANTS

A total of 6641 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included in the analyses.

METHODS

The outcome was incident depressive symptoms. Educational level and occupational status were used to assess SES. Physical frailty status was evaluated using 2 frailty markers, namely weakness and slowness. Two-item questionnaire was used to assess social frailty. Cox regression models were used to examine the relationship between frailty markers and SES to incidence of depressive symptoms, with sociodemographic characteristics, lifestyle information, self-rated health status, medical histories, and depressive symptoms score at baseline adjusted.

RESULTS

Infrequent social activity [hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.00‒1.19], weakness (HR 1.15, 95% CI 1.03‒1.28), and slowness (HR 1.19, 95% CI 1.01‒1.41) were associated with incidence of depressive symptoms. SES was associated with depressive symptoms not only through social frailty (β = 0.01, 95% CI 0.002‒0.011) and physical frailty (β = 0.01, 95% CI 0.001‒0.012) separately but also through social frailty and physical frailty sequentially. Furthermore, the effect of weakness and slowness on depressive symptoms occurred in participants with lower educational level and doing agricultural work, while the effect of infrequent social activity occurred in participants with higher educational level and doing nonagricultural work.

CONCLUSIONS/IMPLICATIONS

SES is associated with depressive symptoms, in which frailty partly mediates the association. The effect of frailty on depressive symptoms varied across SES. Integrated and comprehensive intervention strategies, including assessing socioeconomic circumstances as well as improving frailty, are suggested in prevention of depressive symptoms.

A cross-lagged model of depressive symptoms and mobility disability among middle-aged and older Chinese adults with arthritis

AIM

To examine the reciprocal and longitudinal associations between depressive symptoms and mobility disability in middle-aged and older Chinese adults with arthritis.

METHODS

We used three waves of the China Health and Retirement Longitudinal Study. The analytic sample included 4682 community-dwelling adults aged ≥45 years with arthritis who completed the self-report measurement of depressive symptoms and mobility disability every 2 years over a 4-year study period. Analysis involved an autoregressive cross-lagged model.

RESULTS

The prevalence rates of comorbid depressive symptoms and mobility disability were 38.9%, 33.2% and 38.9%, respectively across three waves. There was a significant bidirectional and longitudinal relationship between depressive symptoms and mobility disability among middle-aged and older Chinese adults with arthritis. A higher level of depressive symptoms in previous waves was associated with a subsequent increase in mobility disability over time. A similar pattern was also shown in the opposite direction from mobility disability to depressive symptoms over time.

CONCLUSIONS

This study demonstrates that depressive symptoms and mobility disability are reciprocally related in Chinese adults with arthritis over time. In addition, it highlights the importance of early interventions aimed at reversing the downward spiral of depressive symptoms and mobility disability to improve the health of Chinese adults with arthritis. Geriatr Gerontol Int 2020; 20: 873-877.

Correlation Between Depressive Symptoms And Quality Of Life, And Associated Factors For Depressive Symptoms Among Rural Elderly In Anhui, China

Purpose

We aimed to assess the current status of depressive symptoms and quality of life (QoL) among rural elderly in central China (Anhui Province) and explore their correlation and associated factors for depressive symptoms.

Methods

A multi-stage random sampling method was used to obtain 3349 participants (aged ≥60): 1206 poor and 2143 non-poor. The 30-item Geriatric Depression Scale (GDS-30) and five-dimensional European quality of health scale (EQ-5D) were employed to evaluate depressive symptoms and QoL, respectively.

Results

The prevalence of depressive symptoms was 52.9%, and that in the poor group (62.3%) was significantly higher than the non-poor group (47.6%). The GDS-30 score was 12.40 ± 7.089, and the poor group scored significantly higher (14.045 ± 6.929) than the non-poor group (11.472 ± 7.011). The EQ-5D score was 0.713 ± 0.186, and the poor group (0.668 ± 0.192) scored significantly lower than the non-poor group (0.738 ± 0.178). There was a significant negative correlation between depressive symptoms and QoL (r = −0.400, P-value <0.05). The following factors were associated with depressive symptoms: poverty, low EQ-5D score, female gender, older age, illiteracy, unemployed, chronic diseases, and hospitalization in previous year.

Conclusion

Rural elderly in central China have a high prevalence of depressive symptoms and low QoL. Poverty was associated with a higher prevalence of depressive symptoms and lower QoL.