Prospective relationship of depressive symptoms, drinking, and tobacco smoking among middle-aged and elderly community-dwelling adults: Results from the China Health and Retirement Longitudinal Study (CHARLS)

Long-term exposure to ambient ozone and cardiovascular diseases: Evidence from two national cohort studies in China

INTRODUCTION

The health effects of ambient ozone have been investigated in many previous studies. However, the effects of long-term exposure to ambient ozone on the incidence of cardiovascular disease (CVD) remain inconclusive.

OBJECTIVES

To estimate the associations of long-term exposure to maximum daily 8-hours average ozone (MDA8 O3) with the incidence of total CVD, heart disease, hypertension, and stroke.

METHODS

This was a prospective cohort study, and the data was obtained from the China Health and Retirement Longitudinal Survey (CHARLS) implemented during 2011-2018 and the China Family Panel Studies (CFPS) implemented during 2010-2018. We applied a Cox proportional hazards regression model to evaluate the associations of MDA8 O3 with total CVD, heart disease, hypertension, and stroke risks, and the corresponding population-attributable fractions (PAF) attributable to MDA8 O3 were also calculated. All analyses were conducted by R software.

RESULTS

The mean MDA8 O3 concertation of all included participants in the CHARLS and CFPS were 51.03 part per billion (ppb) and 51.15 ppb, respectively. In the CHARLS including 18,177 participants, each 10 ppb increment in MDA8 O3 concentration was associated with a 31% increase [hazard ratio (HR) = 1.31, 95% confidence interval (CI): 1.22-1.42] in the risk of incident heart disease, and the corresponding population-attributable fractions (PAF) was 13.79% [10.12%-17.32%]. In the CFPS including 30,226 participants, each 10 ppb increment in MDA8 O3 concentration was associated with an increase in the risk of incident total CVD (1.07 [1.02-1.13]), and hypertension (1.10 [1.03-1.18]). The PAFs of total CVD, and hypertension attributable to MDA8 O3 were 3.53% [0.82%-6.16%], and 5.11% [1.73%-8.38%], respectively. Stratified analyses showed greater associations in males, urban areas, and Southern China.

CONCLUSIONS

Long-term exposure to MDA8 O3 may increase the incidence of CVD. Therefore, the policies that control O3 and related precursors are persistently needed.

Combined healthy lifestyles and risk of depressive symptoms: A baseline survey in China

BACKGROUND

Little evidence exists about whether a combination of healthy lifestyle factors is associated with a lower risk of depressive symptoms among Chinese population. We aimed to investigate the association between combined healthy lifestyle factors and risk of depressive symptoms.

METHODS

We conducted a baseline survey from July 2021 to December 2023, including 53,642 Chinese adults from general population. A healthy lifestyle score was constructed based on six lifestyle factors (physical activity, smoking status, alcohol consumption, diet, sleep duration, and body mass index). Logistic regression models were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) adjusted for confounding variables.

RESULTS

Each additional healthy lifestyle score was associated with a 20 % lower risk of having depressive symptoms (OR (95 % CI): 0.80 (0.78-0.81)). Compared with individuals with ≤2 healthy lifestyle factors, individuals with all the six healthy lifestyle factors had a 58 % reduced risk of having depressive symptoms (0.42 (0.37-0.47)). After stratification by gender, education and urbanization, the significant inverse association with healthy lifestyle score was stronger in women, individuals with high education, and urban residents. Besides, the significant negative association between healthy lifestyle score and depressive symptoms remained for different severity of depressive symptoms.

LIMITATIONS

Given the cross-sectional nature of data, we cannot make causal inferences.

CONCLUSIONS

Our study indicated that adherence to healthy lifestyle factors was associated with a reduced risk of having depressive symptoms among Chinese adults. The observed associations were modified by gender, education and urbanization. These findings warrant further verification in interventional studies.

Sleep duration and leisure activities are involved in regulating the association of depressive symptoms, muscle strength, physical function and mild cognitive impairment

Background

In order to lessen the burden of Alzheimer's disease (AD), timely and efficient management and intervention methods for mild cognitive impairment (MCI) are crucial. MCI is seen as a transitional stage between normal aging and dementia. Although sarcopenia is an important risk factor for MCI, it is unclear what factors mediates and regulates the brain-muscle communication. Our objective was to investigate the indirect moderating effects of sleep duration and leisure activity on depressive symptoms, sarcopenia and MCI.

Method

Panel data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) database was used in this investigation. we used Bootstrap sampling to determine the relationship between sleep duration, leisure activity, depressive symptoms, sarcopenia, and MCI in mediation and indirect moderation models. The outcome measurements were odds ratio (OR) and confidence interval (CI).

Result

After adjusting for confounding variables, we discovered that sarcopenia and its traits, such as handgrip strength, gait speed, standing test, and muscle mass, were significantly correlated with MCI. Second, the results implied that depressive symptoms played a role in modulating the link between physical function, muscle strength, and MCI. This moderating effect was impacted by short sleep duration and moderate to high levels of leisure activities.

Conclusion

We discovered that MCI was highly correlated not only with physical function and muscle strength but also with depressed symptoms, which acted as a partially mediating factor in this connection. Handgrip strength, gait speed, and standing test mediated the correction of MCI caused by depression symptoms. Importantly, leisure activities and sleep duration had indirect moderating effects on the above associations, and future management policies should take these factors into account.

Associations between sarcopenia and depression in middle-aged and older adults: the moderating effect of smoking

The aim of this study were to estimate associations of sarcopenic status with depressive symptoms. We used mixed-effects linear model to estimate longitudinal association between sarcopenic status and rate of change in 10-item Center for Epidemiologic Studies Depression (CES-D) scores, and used Cox regression model to estimate the association between sarcopenic status and incident depression (CES-D ≥ 10). Stratification analyses were performed when the interactions between sarcopenic status and covariates were significant. A total of 6522 participants were ultimately included. After adjusting for covariates, participants with possible sarcopenia (β = 0.117; 95% CI 0.067 to 0.166; P < 0.001) and sarcopenia (β: 0.093; 95% CI 0.027-0.159; P < 0.001) had a faster increase in CES-D scores compared with normal individuals. Interactions between smoking and sarcopenic status were significant (Pinteraction < 0.05). We found significantly positive associations of sarcopenic status with CES-D scores in nonsmokers, but not in current and past smokers. Besides, compared with normal participants, those with possible sarcopenia (HR 1.15; 95% CI 1.05 to 1.27) and sarcopenia (HR 1.28; 95% CI 1.12 to 1.46) (Ptrend < 0.001) had elevated risks of incident depression. Sarcopenia is associated with a faster increase in CES-D scores and increased risks of depression among Chinese middle-aged and older adults. Stronger associations between sarcopenia and trajectory of CES-D scores were found in nonsmokers than in smokers.

Bidirectional relationship between C-reactive protein and depressive symptoms considering cumulative effect among Chinese middle-aged and older adults

Introduction

Research examining the bidirectional relationship between C-reactive protein (CRP) and depressive symptoms, while accounting for cumulative effect of repeated episodes of CRP or depressive symptoms, is currently deficient in non-Western populations.

Methods

A nationally representative population-based cohort data from the Chinese Health and Retirement Longitudinal Study (CHARLS) was utilized. In bi-directional analysis, we considered both single determinations and two successive determinations of CRP or depressive symptoms. Multivariate logistic regression assessed the association between elevated CRP levels at baseline or repeated episodes of CRP elevations over two successive determinations and subsequent elevated depressive symptoms, and vice versa.

Results

Although single determinations of CRP or depressive symptoms yielded non-significant results in both directions, full multivariate models, adjusting for baseline depressive symptoms, socio-demographic characteristics, health-related behaviors, metabolic measures, and health status, revealed a significantly positive association based on two successive determinations of CRP or depressive symptoms. This significant association was observed between cumulative effects of sustained CRP elevations over two successive determinations (2 vs. 0) and subsequent elevated depressive symptoms (OR=1.58; 95% CI: 1.15 to 2.17) and between cumulative effect of repeated episodes of depression (2 vs. 0) and later elevated CRP (OR=1.26; 95% CI: 1.02 to 1.56). Furthermore, sex-stratified analyses confirmed the robustness of these relationships.

Conclusion

There are bidirectional associations between depressive symptoms and CRP, driven by the cumulative effect of repeated episodes of CRP or depressive symptoms among middle-aged and older Chinese adults. These findings hold significant clinical implications, highlighting the potential of both anti-inflammatory and anti-depression approaches.

A predictive model for depression in Chinese middle-aged and elderly people with physical disabilities

BACKGROUND

Middle-aged and older adults with physical disabilities exhibit more common and severe depressive symptoms than those without physical disabilities. Such symptoms can greatly affect the physical and mental health and life expectancy of middle-aged and older persons with disabilities.

METHOD

This study selected 2015 and 2018 data from the China Longitudinal Study of Health and Retirement. After analyzing the effect of age on depression, we used whether middle-aged and older adults with physical disabilities were depressed as the dependent variable and included a total of 24 predictor variables, including demographic factors, health behaviors, physical functioning and socialization, as independent variables. The data were randomly divided into training and validation sets on a 7:3 basis. LASSO regression analysis combined with binary logistic regression analysis was performed in the training set to screen the predictor variables of the model. Construct models in the training set and perform model evaluation, model visualization and internal validation. Perform external validation of the model in the validation set.

RESULT

A total of 1052 middle-aged and elderly persons with physical disabilities were included in this study, and the prevalence of depression in the elderly group > middle-aged group. Restricted triple spline indicated that age had different effects on depression in the middle-aged and elderly groups. LASSO regression analysis combined with binary logistic regression screened out Gender, Location of Residential Address, Shortsightedness, Hearing, Any possible helper in the future, Alcoholic in the Past Year, Difficulty with Using the Toilet, Difficulty with Preparing Hot Meals, and Unable to work due to disability constructed the Chinese Depression Prediction Model for Middle-aged and Older People with Physical Disabilities. The nomogram shows that living in a rural area, lack of assistance, difficulties with activities of daily living, alcohol abuse, visual and hearing impairments, unemployment and being female are risk factors for depression in middle-aged and older persons with physical disabilities. The area under the ROC curve for the model, internal validation and external validation were all greater than 0.70, the mean absolute error was less than 0.02, and the recall and precision were both greater than 0.65, indicating that the model performs well in terms of discriminability, accuracy and generalisation. The DCA curve and net gain curve of the model indicate that the model has high gain in predicting depression.

CONCLUSION

In this study, we showed that being female, living in rural areas, having poor vision and/or hearing, lack of assistance from others, drinking alcohol, having difficulty using the restroom and preparing food, and being unable to work due to a disability were risk factors for depression among middle-aged and older adults with physical disabilities. We developed a depression prediction model to assess the likelihood of depression in Chinese middle-aged and older adults with physical disabilities based on the above risk factors, so that early identification, intervention, and treatment can be provided to middle-aged and older adults with physical disabilities who are at high risk of developing depression.

Longitudinal association between the dynamic nature of depression with lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH)

BACKGROUND

Depression is associated with an increased risk of lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH). Whether the dynamic nature of depression affects the incidence of LUTS/BPH remains unknown. A four-year cohort study based on the China Health and Retirement Longitudinal Study (CHARLS) was conducted to assess their association.

METHODS

This study included 3433 Chinese men from the CHARLS 2011, representative of > 95 million individuals. All eligible individuals underwent three assessments of LUTS/BPH and depression in 2011, 2013 and 2015. The dynamic nature of depression was classified as acute depression with remission, acute depression with recurrence, or chronic major depression. Weighted, generalized additive analyses with three binomial models were used to investigate the relationship between LUTS/BPH and the dynamic nature of depression.

RESULTS

During the four-year follow-up, 11.5% (95% confidence interval [95% CI] = 9.5-13.3%) of Chinese men were diagnosed with newly incident LUTS/BPH. Meanwhile, there were 60.6% (95% CI = 58.5-62.7%) of the individuals without depression and 8.9% (95% CI = 7.9-10%) of the individuals with chronic major depression. A total of 25.1% (95% CI = 23.4-26.9%) and 5.4% (95% CI = 4.6-6.3%) of the individuals were categorized as acute depression with remission and recurrence. After weighted, adjusted all included confounding risk factors, chronic major depression (RR = 1.63, 95% CI = 1.14-2.33, P < 0.01) but not acute depression with remission (RR = 1.2, 95% CI = 0.92-1.56, P = 0.18) and recurrence (RR = 1.32, 95% CI = 0.82-2.10, P = 0.26) significantly increased the incidence of LUTS/BPH compared with no depression. The subgroup analysis showed that the above relationships appeared to be evident among Chinese men < 60 years.

CONCLUSIONS

Our results suggest that the dynamic nature of depression has a different effect on the incidence of LUTS/BPH. The monitoring and treatment of depression are important in preventing LUTS/BPH.

Temporary relationship between sleep duration and depression and its impact on future risk of cardiovascular disease

BACKGROUND

Although sleep duration and depression were correlated, their temporal sequence and how the sequence influence on future risk of cardiovascular disease (CVD) remained undetermined. This study aimed to explore the temporal relationship between sleep duration and depression, and its association with future CVD risk.

METHODS

We included 10,629 middle-aged and elderly participants with repeated measurements of sleep duration and depressive symptoms (measured by Center for Epidemiological Studies-Depression scale [CESD]) at the first two visits from the China Health and Retirement Longitudinal Study. Cross-lagged analysis and mediation analysis were used to examine the temporal relationship between sleep duration and depression and its impact on future risk of CVD.

RESULTS

The adjusted cross-lagged path coefficient from baseline sleep duration to follow-up CES-D (β1 = -0.191; 95 % confidence interval [CI], -0.239 to -0.142) was significantly greatly than that from baseline CES-D to follow-up sleep duration (β2 = -0.031; 95 % CI, -0.031 to -0.024) (Pdifference < 0.0001). Similarly, the path coefficient from baseline sleep duration to annual changes in CES-D was significantly greater than that from baseline CES-D to annual changes in sleep duration (β1 = -0.093 versus β2 = -0.015, Pdifference < 0.0001). The path coefficient from baseline sleep duration to follow-up CES-D in CVD group was significantly greater than that in those without CVD (Pdifference of β1 = 0.0378). Furthermore, 27.93 % of the total association of sleep duration with CVD was mediated by depression symptoms.

CONCLUSIONS

The findings provide evidence that decrease in sleep duration probably precedes the increased in depressive symptoms, and depression partially mediated the pathway from sleep duration to incident CVD.

Combined association of abdominal obesity and depressive symptoms with risk of type 2 diabetes: A cohort study

OBJECTIVE

To explore the combined effect of abdominal obesity and depressive symptoms on the risk to type 2 diabetes, while also assessing the potential influence of various glycemic states and gender on this combined relationship.

METHODS

Data is acquired from the China Health and Retirement Longitudinal Study, and 5949 participants were included for analysis. Participants were divided into four groups: neither have abdominal obesity nor depressive symptoms (AO-/DS-), only have depressive symptoms (AO-/DS+), only have abdominal obesity (AO+/DS-), and have both abdominal obesity and depressive symptoms (AO+/DS+). Stratified analyses differentiating the glycemic statuses and sex of the participants were also carried out.

RESULTS

After adjusting for the confounders, the AO-/DS+, AO+/DS- and AO+/DS+ phenotypes were all discovered to be risk factors for type 2 diabetes (OR = 1.38, 95%CI: 1.06-1.79; OR = 2.07, 95%CI: 1.63-2.63; OR = 2.38, 95%CI: 1.83-3.11, respectively) compared with the AO-/DS- phenotype in the overall population. In further stratified analyses, we arrived at the same conclusion for normoglycemic individuals, especially in females. For prediabetes and males, the AO+/DS- and AO+/DS+ phenotypes are risk factors for type 2 diabetes compared with the AO-/DS- phenotype, but not with AO-/DS+.

CONCLUSION

Regardless of glycemic status and sex, the coexistence of abdominal obesity and depressive symptoms were associated with an increased risk of type 2 diabetes. Depressive symptoms were independent risk factors for type 2 diabetes only in normoglycemic individuals and females.

Longitudinal association of sleep duration with possible sarcopenia: evidence from CHARLS

OBJECTIVES

There are limited data on the relationship between sleep duration and possible sarcopenia. Hence, this study aimed to investigate the associations of sleep duration with possible sarcopenia and its defining components based on the China Health and Retirement Longitudinal Study (CHARLS).

DESIGN

A retrospective cohort study.

SETTING

This study was conducted on participants aged over 45 years applying the 2011 baseline and 2015 follow-up survey from CHARLS covering 450 villages, 150 counties and 28 provinces.

PARTICIPANTS

Data from 5036 individuals (2568 men and 2468 women) free of possible sarcopenia at baseline were analysed.

PRIMARY AND SECONDARY OUTCOME MEASURES

The dose-response relationship between sleep duration and possible sarcopenia.

RESULTS

During 4 years of follow-up, 964 (19.14%) participants developed possible sarcopenia. Compared with participants who slept 6-8 hours per night, those with shorter sleep duration (<6 hours per night) were independently associated with 22% (OR, 1.22; 95% CI, 1.04 to 1.44) increased risk of developing possible sarcopenia and 27% (OR, 1.27; 95% CI, 1.04 to 1.57) increased risk of developing low handgrip strength after controlling for potential confounders. Long sleep duration (>8 hours per night) was not significantly associated with incident possible sarcopenia. The plots of restricted cubic splines exhibited an atypical inverse J-shaped association between sleep duration and possible sarcopenia. Subgroup analysis showed a stronger association between sleep duration and possible sarcopenia in participants aged 45-59 years and composed of male populations.

CONCLUSIONS

Short sleep duration was a potential risk factor for possible sarcopenia and low handgrip strength. The improvement of sleep duration should be considered a target in early preventive and administrative strategies against the development of handgrip strength decline and further reduced the occurrence of sarcopenia.

Bidirectional associations between alcohol drinking and depressive symptom scores among US older adults

BACKGROUND

This study examines the bidirectional associations between alcohol drinking and depression in which low to moderate alcohol drinking may reduce the risk of depression, while the occurrence of depression may increase the amount of alcohol drinking as a coping strategy.

METHOD

Data for the community-dwelling older adults from the Medicare Current Beneficiary Survey (MCBS) 2016 to 2019 were analyzed using random intercept cross-lagged panel models to explore the within-individual causal associations for males and females separately. Socioeconomic status (SES), smoking and comorbidities were adjusted in the models.

RESULTS

Among 3388 older adults with three measures for the number of alcohol drinks and Patient Health Questionnaire (PHQ) depression scores, a prior increase in the number of drinks was related to a moderate non-significant decrease in PHQ scores in the follow-up, but a previous increase in the PHQ scores was significantly associated with a decrease in the number of drinks at the follow-up visit in the adjusted models (regression coefficient = -0.144, p = 0.017 for males; and coefficient = -0.11, p < 0.001 for females).

CONCLUSION

Prior depression may lead to reduced drinking in the follow up visits, but no bidirectional association was found among US older adults.

Association between nighttime sleep duration and quality with knee osteoarthritis in middle-aged and older Chinese: A longitudinal cohort study

BACKGROUND

The association between nighttime sleep duration and sleep quality with the risk of knee osteoarthritis (OA) remains unclear. This study aimed to examine the longitudinal association among middle-aged and older adults in China.

METHODS

The data used in this study were obtained from the China Health and Retirement Longitudinal Study (CHARLS) surveys conducted in 2011 and 2015. Nighttime sleep duration was categorized into five groups: <6 h, 6 to <7 h, 7 to <8 h, 8 to <9 h, and ≥9 h/night. Sleep quality was assessed by restless days in the past week (<1, 1-2, 3-4, and 5-7 days/week). Multivariate logistic regression models were used to assess the association between sleep duration and quality with incident knee OA.

RESULTS

A total of 11,114 participants who did not have knee OA at baseline were enrolled in this study. After 4 years of follow-up, the overall incidence of knee OA was 8.07 %. Compared to 7 to <8 h of sleep duration, short sleep duration (<6 h/night) was associated with a significantly increased risk of incident knee OA in the fully adjusted model [odds ratio (OR) =1.73, 95 % confidence interval (CI): 1.33-2.25]. Additionally, participants with 5-7 sleep restless days/week were associated with significantly increased risk of incident knee OA (OR = 1.88, 95 % CI: 1.48-2.38).

CONCLUSIONS

Short nighttime sleep duration and poor sleep quality are associated with increased risk of incident knee OA.

Latent class analysis of symptoms of depression and anxiety among older women

OBJECTIVES

This cross-sectional study aims to consider the potential classification of depression and anxiety symptoms among older women, and identify the influencing factors of this classification.

METHODS

This study examines Chinese women aged 65 years and older. Latent class analysis was used to explore the mental health subgroups of older women, and multivariate logistic regression was employed to examine the influencing factors based on the health ecological model among these subgroups.

RESULTS

The results helped classify this population under three subgroups: the coexistence of depression and anxiety group, dominated depression group, and the low symptoms group. Moreover, class differences in terms of age, residence, education, income, assessment of current life and health status, sleep duration, and health behaviors, such as alcohol use and exercise were noted.

CONCLUSIONS

These findings explain the heterogeneity among older women, and help illuminate their unique aspects of mental health. Accordingly, they are significant for scholars and policymakers to understand depression and anxiety among older women.

Solid fuel use, socioeconomic status and depression: a cross-study of older adults in China

BACKGROUND

Indoor air pollution causes severe psychological stress and promotes depression. A better understanding of the impact of solid fuel consumption and socioeconomic indicators on mental health is critical to promote successful aging. In this study, we analyzed the relationship of depression with socioeconomic status (SES) and solid fuel use, and illustrated the mediating role of solid fuel use in the relationship between SES and depression.

METHODS

9250 participants from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey were included in this study. A logistic regression analysis was used to calculate odds ratio (OR) and 95% confidence interval (CI) of depression for different types of fuel consumption. The stepwise approach and the Sobel test were used to test the mediation effect.

RESULTS

Older people who reported the consumption of solid fuels showed higher odds of having depressive symptoms (OR = 1.16, 95% CI:1.03, 1.31). In model with depression as the outcome variable, the ORs of low education level and low annual household income level were 1.30 (95% CI: 1.15, 1.47) and 1.43 (95% CI: 1.28, 1.59) respectively. Solid fuel consumption accounted for 38.40% of the effect of a low education level and 54.73% of the effect of low income on depression.

CONCLUSIONS

Solid fuel use and SES are associated with depression, and solid fuel use may act as a potential mediator connecting socioeconomic indicators and depression.

Combined influence of depressive symptoms and systemic inflammation on cardiovascular diseases in China

OBJECTIVE

Previous studies had reported a significant association between depressive symptoms and inflammation. The aim of present study was to evaluate the combined effect of depressive symptoms and inflammation level on the risk of cardiovascular disease (CVD).

METHODS

A total of 9647 participants from the China Health and Retirement Longitudinal Study were included. Multivariate Cox proportional hazards regression model was used to evaluate the associations between depressive symptoms, inflammation level and new-onset CVD, stroke and cardiac events.

RESULTS

There were 1731 respondents experienced CVD (including 560 stroke and 1306 cardiac events) during the follow-up period. Compared to individuals without depressive symptoms and low hsCRP level, the adjusted hazard ratios (95% confidence intervals) were 1.23(1.09-1.38), 1.41(1.21-1.63) and 1.61(1.40-1.87) for those with high hsCRP level alone, with depressive symptoms alone, with both depressive symptoms and high hsCRP, respectively. There were additive and multiplicative effect of depressive symptoms and inflammation on the risk of CVD, stroke and cardiac events (as categorical variables). Furthermore, we found significant additive and multiplicative interactions of depressive symptoms and inflammation with CVD (as continuous variables).

CONCLUSION

Our findings indicated that there was a multiplicative effect of depressive symptoms and inflammation on the risk of CVD. Larger-sample prospective cohort studies are still required to test the potential application of combination of depressive symptoms and inflammation as a screening method to identify individuals at risk of CVD.

Depressive symptoms and sleep duration in relation to chronic kidney disease: Evidence from the China health and retirement longitudinal study

OBJECTIVE

Nowadays, the joint effects of depressive symptoms and sleep duration on the risk of chronic kidney disease (CKD) are still unclear. We aimed to prospectively assess the combined effect of depressive symptoms and sleep duration on the incidence of CKD in middle-aged and elderly Chinese population.

METHODS

A total of 10,953 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale (CESD-10). Sleep duration was evaluated by self-reported. CKD events were based on self-reported physicians' diagnosis or personal estimate glomerular filtration rate level (eGFR <60 mL/min/1.73 m2). Cox regression models were established to analyze the correlation between depressive symptoms, sleep duration and the risk of CKD.

RESULTS

Over a mean follow-up time was 6.76 ± 0.98 years, 851 (7.8%) participants had reported CKD events during the follow-up. Elevated depressive symptoms (HR = 1.65, 95% CI = 1.43-1.90) and short sleep duration (HR = 1.48, 95% CI = 1.27-1.72) were independently associated with an increased CKD risk after adjusting for potential confounding factors. Participants with short sleep duration (< 6 h)/elevated depressive symptoms (HR = 2.24, 95% CI = 1.89-2.65) were associated with the highest risk of CKD than those with normal sleep duration/low depressive symptoms.

CONCLUSIONS

Elevated depressive symptoms and short sleep duration were independent risk factors for CKD. There was a combined effect between depressive symptoms and sleep duration in increasing the risk of CKD.

Association Between Changes in Depressive Symptoms and Sarcopenia: Findings From a Nationwide Cohort Study

OBJECTIVES

The aim of this study was to investigate the association between changes in depressive symptoms and sarcopenia by repeated measures of depressive symptoms at a follow-up visit every 2 years.

DESIGN

Cross-sectional design and longitudinal design.

SETTING AND PARTICIPANTS

We conducted a cross-sectional and longitudinal study using data from the China Health and Retirement Longitudinal Study, which is a representative national survey. A total of 12,287 participants were included in Wave 1 (2011-2012) for the cross-sectional analysis, followed by a total of 5285 participants in Wave 2 (2013-2014) and Wave 3 (2015-2016) for the longitudinal analysis based on the cross-sectional analysis.

METHODS

Depressive symptoms were measured by the 10-item Center for the Epidemiological Studies of Depression Short Form. Sarcopenia was defined according to the Asian Sarcopenia Working Group criteria (AWGS 2019). Changes in depressive symptoms in Wave 1 and Wave 2 were used as exposure, and sarcopenia in Wave 3 was used as outcome. Cox proportional hazards regression model was used to test the relationship between changes in depressive symptoms and sarcopenia.

RESULTS

In cross-sectional analysis, depression was significantly associated with sarcopenia (odds ratio, 1.27; 95% CI, 1.10-1.48). In subsequent longitudinal analyses, a total of 174 sarcopenia events occurred, and those with increased depressive symptoms and persistent depressive symptoms were at higher risk for sarcopenia than those without depressive symptoms, with multivariable-adjusted hazard ratios of 1.65 (95% CI, 1.00-2.73) and 1.68 (95% CI, 1.06-2.68), respectively.

CONCLUSIONS AND IMPLICATIONS

People with increased depressive symptoms and persistent depressive symptoms may have a higher risk of developing sarcopenia over time. In the future, more research is needed to confirm the mechanism by which long-term changes in depression contribute to the risk of sarcopenia, and to propose preventive measures accordingly.

The association between falls and depressive symptoms among older adults: evidence from the China Health and Retirement Longitudinal Study

Background

Falls place a heavy burden on older adults and families, and there was little research on the relationship between falls and depressive symptoms among older adults in China. This study is designed to examine the association between falls and depressive symptoms in Chinese older adults.

Methods

This study was based on 9,539 data sets from the China Health and Retirement Longitudinal Study (CHARLS) in 2018. The 10-item Center for Epidemiologic Studies-Depression Scale (CESD-10) was used to access depressive symptoms in older adults. A logistic regression model was used to calculate multivariate odds ratios (ORs) and 95% confidence intervals (CIs) for falls and depressive symptoms, adjusted for possible confounders. The Classification and regression tree (CART) demonstrates the prediction of the target variable values based on other variables.

Results

In this study, 9,539 older people were selected: 60-69 years old accounted for 63.0%, 70-79 years old accounted for 29.7%, and 80 years old and above accounted for 7.3%. Male accounted for 49.7% and female for 50.3%. The rate of falls among older adults was 21.4%, and the rate of depressive symptoms was 33.9%. Adjusted ORs (OR = 1.37, 95% CI: 1.23, 1.53) showed a significant association between falls and depressive symptoms among older adults. Subgroup analysis revealed that this association was statistically significant across male (OR = 1.29, 95% CI: 1.23, 1.53) and female (OR = 1.42, 95% CI: 1.23, 1.64), 60-69 aged (OR = 1.38, 95% CI: 1.19, 1.60) and 70-79 aged (OR =1.42, 95% CI: 1.16, 1.74), rural (OR = 1.42, 95% CI: 1.25, 1.61), <15,000 CNY (OR = 1.35, 95% CI: 1.19, 1.54) and more than 25,000 CNY (OR = 1.42, 95% CI: 1.09, 1.85). Additionally, The CART model showed that the probability (73.0%) of falls was highest among older adults with depressive symptoms who self-rated poor health and female gender.

Conclusions

This cross-sectional study demonstrated a significant association between falls and depressive symptoms in Chinese older adults. The findings provide some evidence and support for risk monitoring, screening for depressive symptoms, and early prevention in the high-risk older population.

Depression prediction based on LassoNet-RNN model: A longitudinal study

Depression has become a widespread health concern today. Understanding the influencing factors can promote human mental health as well as provide a basis for exploring preventive measures. Combining LassoNet with recurrent neural network (RNN), this study constructed a screening model ,LassoNet-RNN, for identifying influencing factors of individual depression. Based on multi-wave surveys of China Health and Retirement Longitudinal Study (CHARLS) dataset (11,661 observations), we analyzed the multivariate time series data and recognized 27 characteristic variables selected from four perspectives: demographics, health-related risk factors, household economic status, and living environment. Additionally, the importance rankings of the characteristic variables were obtained. These results offered insightful recommendations for theoretical developments and practical decision making in public health.

The association between depression during perimenopause and progression of chronic conditions and multimorbidity: results from a Chinese prospective cohort

PURPOSE

The association between perimenopausal depression and many chronic conditions among women has been well-established. However, the role of depression during perimenopause in the progression of multiple chronic conditions (multimorbidity) remains poorly understood.

MATERIAL AND METHODS

A total of 1,216 community-dwelling women in their perimenopause period between 2010 and 2016 were enrolled in our analysis, and followed up for the progression of multimorbidity. Depression, as well as its severity, was evaluated by the Center for Epidemiologic Studies Depression 10-item scale (CES-D-10). Progression of multimorbidity was defined as the first report of two or more chronic conditions for participants without multimorbidity or the new report of one or more conditions for those with multimorbidity. Univariable and multivariable Cox proportional hazards model and the restricted cubic spline regression model were performed to assess the prospective association between perimenopausal depression and the progression of multimorbidity.

RESULTS

A total of 480 (39.5%) women reported depression during perimenopause, and 529 (43.5%) women progressed to multimorbidity. After adjusting for socio-demographic and lifestyle factors, perimenopausal depression was independently associated with the progression of multimorbidity (hazard ratio [HR]: 1.34; 95% confidence interval [CI]: 1.13 to 1.60). Moreover, the severity of depression was positively and linearly associated with the progression of multimorbidity (P < 0.05).

CONCLUSIONS

Our finding reveals a prospective association between perimenopausal depression and the progression of multimorbidity, indicating interventions targeting perimenopausal depression may reduce the burden of chronic diseases and multimorbidity in women's post-menopausal life.

Network analysis of cold cognition and depression in middle-aged and elder population: the moderation of grandparenting

Background

Cognitive decline and negative emotions are common in aging, especially decline in cold cognition which often co-occurred with depression in middle-aged and older adults. This study analyzed the interactions between cold cognition and depression in the middle-aged and elder populations using network analysis and explored the effects of grandparenting on the cold cognition-depression network.

Methods

The data of 6,900 individuals (≥ 45 years) from the China Health and Retirement Longitudinal Study (CHARLS) were used. The Minimum Mental State Examination (MMSE) and the Epidemiology Research Center Depression Scale-10 (CESD-10) were used to assess cold cognition and depressive symptoms, respectively. Centrality indices and bridge centrality indices were used to identify central nodes and bridge nodes, respectively.

Results

Network analysis showed that nodes "language ability" and "depressed mood" were more central nodes in the network of cold cognition and depression in all participants. Meantime, nodes "attention," "language ability" and "hopeless" were three key bridge nodes connecting cold cognition and depressive symptoms. Additionally, the global connectivity of the cold cognition and depression network was stronger in the non-grandparenting than the grandparenting.

Conclusion

The findings shed a light on the complex interactions between cold cognition and depression in the middle-aged and elder populations. Decline in language ability and depressed mood can serve as predictors for the emergence of cold cognitive dysfunction and depression in individuals during aging. Attention, language ability and hopelessness are potential targets for psychosocial interventions. Furthermore, grandparenting is effective in alleviating cold cognitive dysfunction and depression that occur during individual aging.

Interplay of Depression, Smoking Intention, and Smoking Behavior in Chinese Dai Adolescents

ABSTRACT

Tobacco smoking and depression are important contributors to the burden of disease in China, and their onset typically occurs in adolescence. However, there is no consensus on the nature and underlying mechanisms of their interplay, and related studies on Chinese adolescents and ethnic minorities are limited. This study tested the mediation role of depression in the link between smoking intention and behavior in relation to sex. A secondary analysis was conducted on data from a survey of 1,322 Chinese Dai middle school students aged 15-19 years (M = 17.02 years; 773 female students and 542 male students) in Xishuangbanna, China. We found that the mediation role of depression between smoking intention and smoking behavior was nonsignificant, although smoking intention and depression both had significant associations with smoking behavior. Therefore, depression might be better theorized as an underlying predictor of smoking intention or that other volitional factors may link smoking intention and smoking behavior more closely. Nevertheless, depression was a significant independent variable for smoking behavior even when smoking intention was adjusted. Women perceived more depression than men with similar smoking intention levels, yet the relationship between smoking intention and smoking behavior was stronger in men. Although it seems that men were abler to translate their smoking intention into actual smoking, the high level of depression among young women who reported higher levels of smoking intention is noteworthy. Tobacco control for Chinese adolescents could incorporate sex-specific psychological therapies for negative emotions and for the internalization of problems by children.

Mediating role of depressive symptoms on the relationship between sleep duration and cognitive function

Although some studies have shown the association between sleep duration and cognitive impairment is positive, the mechanism explaining how sleep duration is linked to cognition remains poor understood. The current study aims to explore it among Chinese population. A cross-sectional study of 12,589 participants aged 45 or over was conducted, cognition was assessed by three measures to capture mental intactness, episodic memory, and visuospatial abilities. The Center for Epidemiologic Studies Depression Scale 10 (CES-D₁₀) was administered during the face-to-face survey to assess depressive status. Sleep duration was reported by the participants themselves. Partial correlation and linear regression were used to explore the association between sleep duration, cognition, and depression. The Bootstrap methods PROCESS program was used to detect the mediation effect of depression. Sleep duration was positively correlated with cognition and negatively with depression (p < 0.01). The CES-D₁₀ score (r = - 0.13, p < 0.01) was negatively correlated with cognitive function. Linear regression analysis showed sleep duration was positively associated with cognition (p = 0.001). When depressive symptoms were considered, the association between sleep duration and cognition lost significance (p = 0.468). Depressive symptoms have mediated the relationship between sleep duration and cognitive function. The findings revealed that the relationship between sleep duration and cognition is mainly explained by depressive symptoms and may provide new ideas for interventions for cognitive dysfunction.

The mediating effect of depression on new-onset stroke in diabetic population: Evidence from the China health and retirement longitudinal study

BACKGROUND

Diabetes has a high incidence in China, which may cause stroke and depression. However, the relationship between diabetes and the incidence of new-onset stroke and depression has not been fully studied.

METHODS

The data from the China Longitudinal Study on Health and Retirement (CHARLS) from 2013 to 2018 were used. A total of 8530 respondents aged ≥45 years old were included in the follow-up study. Logistic regression model, Cox regression, and Mediation analyses were used to explore the association between diabetes, depression, and new-onset stroke.

RESULTS

The depression score of patients with diabetes history was higher (HR,95%CI = 1.02, 1.01-1.04) and were more likely to experience new-onset stroke events (HR, 95%CI = 1.046, 1.02-1.07). With a history of hypertension (HR,95%CI = 1.747, 1.381-2.208), older (HR,95%CI = 1.033, 1.020-1.046) with high BMI (HR,95%CI = 1.056, 1.027-1.086) have a high risk of new-onset stroke. In the combined subgroup analysis, the incidence of new-onset stroke in the subgroup with diabetes depression was higher than in others. The mediating effect of depression on new-onset stroke events in diabetic patients is more pronounced in the medium to long term (>3 years) after adjusting covariates.

LIMITATIONS

We defined new-onset stroke by patient self-report, there might be some memory bias. In addition, new-onset stroke was not classified in the CHARLS questionnaire, which would hinder us to evaluate the mediating effect of depression on different types of new-onset stroke.

CONCLUSION

Our results showed that depression has a partial mediating effect between diabetes and new-onset stroke in the middle-aged and elderly population in China.

Distinct depressive symptom trajectories are associated with incident diabetes among Chinese middle-aged and older adults: The China Health and Retirement Longitudinal Study

OBJECTIVE

Previous studies have reported that depression and depressive symptom are associated with diabetes incident. However, the association between long-term depressive symptom patterns and risk of diabetes remains unknown. The aim of present study was to evaluate the association between depressive symptom trajectories and risk of diabetes.

METHODS

We used data of 8806 participants (≥45 years old) from the China Health and Retirement Longitudinal Study (CHARLS). Trajectories of depressive symptom were identified by latent mixture modeling. Multivariable logistic regression model was used to examine the association of depressive symptom trajectories with diabetes.

RESULTS

Five depressive symptom trajectories were identified, characterizing by maintaining a low CES-D scores throughout the follow-up (low-stable; 3227 participants [36.65%]); maintaining a moderate CES-D scores throughout the follow-up (moderate-stable; 3402 participants [38.63%]); moderate starting CES-D scores then increasing scores (moderate-increasing; 681 participants [7.73%%]); high starting CES-D scores but then decreasing scores (high-decreasing; 1061 participants [12.05%]); and maintained high CES-D scores throughout the follow-up (high-stable; 435 participants [4.94%]). During 2015 to 2018 (Wave 3 to Wave 4), a total of 312 respondents experienced diabetes. Compared with participants in the low-stable depressive symptom trajectory, those following a high-decreasing (ORs = 2.04; 95%CIs 1.48-2.98) and high-stable depressive symptom trajectories (ORs = 3.26; 95%CIs 2.06-5.16) were at substantially higher risk of developing diabetes.

CONCLUSIONS

Individuals with high-decreasing and high-stable depressive symptom trajectories over time were associated with increased risk of incident diabetes. Long-term depressive symptom may be a strong predictor of having diabetes.

Longitudinal association between falls and motoric cognitive risk syndrome among community-dwelling older adults

The motoric cognitive risk (MCR) syndrome is a predementia syndrome associated with dementia and mortality risk. This longitudinal study aimed to investigated the longitudinal association between MCR and falls in older adults, including 3,720 participants in the China Health and Retirement Longitudinal Study. A total of 482 participants (13.0%) met the MCR requirements at baseline. There were 226 incident cases of MCR (13.0%) throughout follow-up (duration: 4 years). Controlling for microsystem factors, a single fall (OR: 2.412, 95 % CI: 1.100-5.290; p < .05) was associated with incident MCR at baseline and to almost 2.0 times (HR: 2.021, 95 % CI: 1.031-3.961; p < .05) more inclined to develop MCR over time, compared to those without falls. These associations remained significant when meso/ exosystem factors and macrosystem factors were included in the analytic models. Falls may be useful in predicting MCR risk in the near future among Chinese older adults.

Indoor air pollution from solid fuels use, inflammation, depression and cognitive function in middle-aged and older Chinese adults

BACKGROUND

Few studies have focused on the influence of indoor air pollution on depression and cognitive impairment; besides, the underlying mechanism is not well-established.

OBJECTIVE

This study aimed to fill the above gaps by exploring the underlying influence mechanism of solid fuel use, the major cause of indoor air pollution, with the risk of depression and cognitive impairment.

METHODS

This data came from China Health and Retirement Longitudinal Study (CHARLS) 2015 dataset. Self-reported household cooking fuels were collected and categorized as clean fuels and solid fuels. High-sensitivity C-reactive protein (CRP) and white blood cells (WBC) were used to measure inflammation. Depression and cognitive function were assessed by using standardized questionnaires.

RESULTS

Respondents had an average Center for Epidemiologic Studies Depression Scale (CESD-10) scores of 7.68 (SD = 6.14) and cognitive function scores of 15.97 (SD = 4.84). In the whole sample, 36.4 % of respondents used solid fuels use, but this proportion was much greater among those living in rural areas (78.38 %). Compared with clean fuel users, solid fuel users had more depression and worse cognitive function. After adjusting for confounders, indoor air pollution was significantly associated with depression and cognitive function respectively (β = -0.444, p < 0.001; β = 0.656, p < 0.001). Indoor air pollution was significantly related to the WBC (β = 0.170, p < 0.01), but not for the CRP. The WBC mediated the association between indoor air pollution and depression (β = 0.026, p < 0.01).

CONCLUSION

In conclusion, solid fuel use was significantly associated with a higher risk of depression and cognitive impairment. Furthermore, we found that solid fuel use influences depression partly via the inflammatory profile.

The dark triad and depressive symptoms among chinese adolescents: moderated mediation models of age and emotion regulation strategies

Dark Triad has been found to relate with depressive symptoms, but the underlying mechanism was rarely investigated. In the present study, we examined the mediating effect of two emotion regulation strategies (cognitive reappraisal and expressive suppression) and the moderating effect of gender and age. 709 Chinese adolescents aged 12-18 years (M = 14.54, SD = 1.70;55.3% girls) filled out the Dirty Dozen, Emotion Regulation Questionnaire and the 10-item of Center for Epidemiological Studies Depression Scale. As expected, Dark Triad was related with increased levels of depression and emotion regulation strategies acted as mediators in these associations. Suppression mediated the relationship between Machiavellianism and depression. Reappraisal and suppression mediated the link between psychopathy and depression. Reappraisal mediated the association between narcissism and depression. Besides, age moderated the effect of Machiavellianism on reappraisal, suggesting Machiavellianism had a negative impact on reappraisal for younger adolescents, but not for older adolescents. Age also moderated the effect of reappraisal on depression, indicating the negative effect of reappraisal on depression was stronger for younger adolescents than for older adolescents. These results address how Dark Triad traits affect depression via emotion regulation strategies and indicate the effectiveness of Dark Triad and emotion regulation strategies may change across age groups.

The longitudinal association between possible new sarcopenia and the depression trajectory of individuals and their intimate partners

Background

It is currently unknown whether the dynamic nature of depression affects the development of sarcopenia. Herein, this study aims to assess the association between possible new sarcopenia and the depression trajectory of individuals and their intimate partners through a 4-year longitudinal cohort study.

Methods

Our study included 784 pairs of individuals without possible sarcopenia and their spouses from the China Health and Retirement Longitudinal Study (CHARLS) 2011. All individuals and their spouses received three assessments of the Center for Epidemiologic Studies Depression 10-item (CESD-10) scale in 2011, 2013, and 2015. According to the diagnostic algorithm recommended by the Asian Working Group for Sarcopenia (AWGS) 2019, we evaluated the incidence of possible sarcopenia in individuals in 2015. Latent class analysis (LCA) was used to identify a longitudinal depression trajectory of individuals and their spouses during a 4-year follow-up. Subsequently, we assessed the relationship between possible sarcopenia and depression trajectory using three generalized additive models.

Results

In 2015, 24.87% (195/784) of individuals were diagnosed with possible sarcopenia. LCA identified five depression trajectories: a persistently high risk of depression in individuals and their spouses (reference; class 1 = 34 [4.3%]); a persistently low risk of depression in individuals and their spouses (class 2 = 526 [67.1%]); a high risk of depression in individuals and a low risk of depression in spouses (class 3 = 46 [5.9%]); a low risk of depression in individuals and a high risk of depression in spouses (class 4 = 116 [14.8%]); and a reduced risk of depression in individuals and their spouses (class 5 = 62 [7.9%]). The highest incidence of possible sarcopenia was shown in class 1, followed by classes 3 and 5. Classes 2 (adjusted relative risk (RR) = 0.44, 95% confidence interval (CI): 0.20-0.97) and 4 (adjusted RR = 0.40, 95%CI: 0.17-0.96) had a significantly lower incidence of possible sarcopenia than class 1. Subgroup analysis demonstrated that the incidence of possible sarcopenia in class 4 was obviously higher in women (38.89%) than in men (18.4%).

Conclusions

Our study indicates a persistently high risk of depression in individuals to develop possible sarcopenia. In addition, a persistently high risk of depression in intimate partners potentially increases the risk of possible new sarcopenia, especially in female individuals who are at low risk of depression.

Association of social capital with obesity among older adults in China: a cross-sectional analysis

Background

Under the global aging trend, health issues of the elderly have received more and more attention. Among them, older adults’ obesity is one of the common health problems of the elderly. The association between social capital and obesity in the older adults has been analysed and discussed in previous studies but remains controversial. There are few studies on the association between social capital and obesity in the older adults in China. We examined whether social capital was associated with obesity in Chinese older adults.

Methods

The data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) —wave 8 (2017–2018) was used in this study. Totally, 10,164 respondents were included in the final analysis. Generalized trust, social participation (informal social interaction and participation of organized social activities), and social support was used as measures of social capital. Obesity status was defined by body mass index (BMI). Logistic regression analyses were used to assess associations between the social capital and obesity, adjusting for confounders.

Results

We found that the older adults who did not trust people around had greater odds of being overweighted/obese compared to those who trust [Adjusted Odds Ratio (AOR) 1.155, 95% CI 1.045 to 1.265]. The older adults having formal participation (participating in organized social activities) registered considerably higher BMI (AOR 1.155, 95% CI 1.041 to 1.269). The older adults who did not trust people around them had greater odds of being overweighted/obese both in males (AOR 1.172, 95% CI 1.012–1.333) and in females (AOR 1.155, 95% CI 1.004–1.306). Males having formal social participation were more likely to be overweighted/obese (AOR 1.181, 95% CI 1.024 to 1.337), but not in females.

Conclusions

Generalized trust and formal social participation was associated with overweight/obesity among older adults in China. Targeted obesity interventions for older adults are needed by developing public health policies for social capital optimization.

Longer depressive duration reduces sleep duration more: A longitudinal study in the middle-aged and elderly Chinese

BACKGROUND

Quantifying the effect of depression on sleep duration is of great importance to the diagnosis, control, prevention of sleep-related diseases and understanding related biological mechanisms. However, existing studies explored the effect without considering depressive duration, which may cause inaccurate results.

METHODS

Accessing the data from the China Health and Retirement Longitudinal Study in 2011, 2013, 2015 and 2018, we used the interval between two interviews with persistent depression status to approximate depressive duration. Five analysis subsamples with different depressive durations, i.e., 2, 3, 4, 5, 7 years, were obtained. The change amount of sleep duration between two interviews was used as the outcome variable. A multiple linear model was independently used to estimate the effect in each subsample, and meta-regression was used to test the trend. Subgroup analyses in terms of genders, ages and baseline sleep durations were performed.

RESULTS

On average, 2, 3, 4, 5, 7-years depressive durations significantly reduced sleep duration by 0.46, 0.57, 0.72, 0.75, 1.07 h (P < 0.001), respectively. Especially for the elderly, female, and participants with normal baseline sleep duration, the reduction was larger. Trend test showed that the variation trend was significant (P < 0.001). Similar results were found in the subgroup analyses.

LIMITATIONS

Sleep duration and depression are not measured by gold-standard methods.

CONCLUSIONS

Depression significantly reduces sleep duration, especially for the elderly, female, and people with normal baseline sleep duration. Longer depressive duration reduces sleep duration more. Such finding provides more detailed epidemiological evidence for depression-sleep relationship.

Identifying high-risk population of depression: association between metabolic syndrome and depression using a health checkup and claims database

Depression and metabolic syndrome (MetS) are correlated, leading to an increased healthcare burden and decreased productivity. We aimed to investigate the association between MetS-related factors and depression using a health checkup and claims database. Individuals aged 18-75 years who underwent health examinations between 2014 and 2019 were enrolled in the study. Among 76,277 participants, "ever" and "incident" antidepressant users exhibited worse metabolic profiles and were more likely to be prescribed hypnotics and anxiolytics than "never" users. In a nested case-control study with a 1:10 ratio of incident users to controls, MetS was associated with incident antidepressant use (odds ratio, 1.53 [95% confidence interval 1.24-1.88]) adjusted for lifestyle information obtained from a self-administered questionnaire, medical history, and medications. Other metabolic traits also showed significant associations: body mass index (1.04 [1.02-1.06]), abdominal circumference per 10 cm (1.17 [1.08-1.27]), high blood pressure (1.17 [1.00-1.37]), glucose intolerance (1.29 [1.05-1.58]), and dyslipidemia (1.27 [1.08-1.51]). A bodyweight increase > 10 kg from age 20 years (1.46 [1.25-1.70]) was also significantly associated with incident antidepressant use. In conclusion, metabolic abnormalities were associated with incident antidepressant use and can be useful in identifying populations at high risk of depression.

Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals

Appropriate daytime napping is associated with the decreased risk of cerebro-cardiovascular diseases, but whether daytime napping affects sarcopenia remains to be explored. Our study plans to examine the associations between sarcopenia with daytime napping and comorbidity. The study population came from the China Health and Retirement Longitudinal Study 2011-2015. Latent class analysis (LCA) was used to identify comorbidity profiles based on 14 doctor-diagnosed chronic diseases. Subsequently, smooth function and restricted cubic spline with three binomial regression models determined the associations between sarcopenia with daytime napping and comorbidity profiles. About 18.7% (2,894) and 5.4% (832) of 15,404 individuals were diagnosed with sarcopenia and severe sarcopenia. LCA delineated four classes as the best fit as follows: dominant heart diseases or risks (class 1, N = 2,203), dominant chronic lung diseases (class 2, N = 740), minimal or least diseases (class 3, N = 10,612, reference), and dominant digestive diseases and rheumatism (class 4, N = 1849). Compared with the reference group (class 3), the multivariate-adjusted ORs (95% CIs) of sarcopenia in model 3 were 0.72 (0.60-0.88) for class 1, 1.17 (0.92-1.51) for class 2, and 0.92 (0.77-1.09) for class 4. Smooth function and restricted cubic spline suggested that individuals who napped about 60 min seemingly had the lowest risk of sarcopenia. Individuals who napped for 1-59 min (adjusted OR = 0.80, 95% CI: 0.68-0.94) and 60-119 min (adjusted OR = 0.83, 95% CI: 0.72-0.95) had the significantly lower risk of sarcopenia but not severe sarcopenia than those who did not nap. Insufficient and excessive daytime napping might be associated with the increased risk of sarcopenia, especially in individuals with a dominant chronic lung disease profile.

The Effect of Psychological Burden on Dyslipidemia Moderated by Greenness: A Nationwide Study from China

Globally, dyslipidemia is now become a leading risk factor for many adverse health outcomes, especially in the middle-aged and elderly. Recent evidence suggests that exposure to greenness and the relief of a psychological burden may decrease the prevalence of dyslipidemia. The objective of our study was to examine whether a green space can moderate the association between mental health status and dyslipidemia. Our study selected the datasets of depression symptoms, dyslipidemia from the China Health and Retirement Longitudinal Study (CHARLS), and the satellite-based normalized difference vegetation index (NDVI) from the 30 m annual maximum NDVI dataset in China in 2018. Ultimately, a total of 10,022 middle-aged and elderly Chinese were involved in our study. Multilevel logistic regressions were performed to examine the association between symptoms of depression and dyslipidemia, as well as the moderate effect of greenness exposure on the association. Our research suggested that adults diagnosed with depression symptoms were more likely to suffer from dyslipidemia. In addition, the NDVI was shown to moderate the effect of depression on dyslipidemia significantly, though the effect was attenuated as depression increased. Regarding the moderate effect of the NDVI on the above association across age, gender, and residence, the findings presented that females, the elderly, and respondents living in urban areas were at a greater risk of having dyslipidemia, although the protective effect of the NDVI was considered. Likewise, the moderate effect of the NDVI gradually decreased as the level of depression increased in different groups. The current study conducted in China provides insights into the association between mental health, green space, and dyslipidemia. Hence, improving mental health and green spaces can be potential targets for medical interventions to decrease the prevalence of dyslipidemia.

The dose-effect relationships of cigarette and alcohol consumption with depressive symptoms: a multiple-center, cross-sectional study in 5965 Chinese middle-aged and elderly men

BACKGROUND

Although association of depressive symptoms with cigarette or alcohol is well documented, the dose-response relationship between them is rarely studied. This study aims to evaluate dose-response relationships of cigarette and alcohol consumption with depressive symptoms in Chinese middle-aged and elderly men, providing evidence to guide cigarette and alcohol control.

METHODS

This multiple-center, cross-sectional study including 5965 Chinese men aged 40-79 years was conducted in 2013-2016 in China. Depressive symptoms were evaluated by Beck Depression Inventory-Short Form. History of cigarette smoking and alcohol drinking were collected with a structured questionnaire. Prevalence of depressive symptoms was compared depending on cigarette and alcohol consumption. Adjusted odds ratios (OR) and 95% confidence interval (CI) were estimated by binary logistic regression. Interpolation analysis was applied to test dose-effect relationships.

RESULTS

A parabolic-shaped relationship was observed between cigarette consumption and depressive symptoms. Compared to never smokers, 59.0% (OR = 1.59, 95% CI 1.30-1.94) and 29.0% (OR = 1.29, 95% CI 1.08-1.54) higher odds of depressive symptoms were observed in men smoking < 10 cigarettes/day and 10-20 cigarettes/day, whereas, similar odds of depressive symptoms among men smoking > 20 cigarettes/day (P = 0.092). An inverted J-shaped relationship was observed between alcohol consumption and depressive symptoms. Compared to never drinkers, a tendency of higher prevalence of depressive symptoms (OR = 1.16, 95% CI 0.99-1.36) was observed in men drinking < 140 g/week, and similar prevalence was observed in those drinking 140-280 g/week (P = 0.920), whereas, 29.4% (OR = 0.71, 95% CI 0.57-0.88) lower odds in men drinking > 280 g/week.

CONCLUSIONS

Associations of cigarette smoking and alcohol drinking with depressive symptoms differ with consumption in middle-aged and elderly men. Health-care providers should exercise great caution on depressive symptoms in conducting cigarette and alcohol control.

Associations between trajectories of depressive symptoms and rate of cognitive decline among Chinese middle-aged and older adults: An 8-year longitudinal study

OBJECTIVE

To investigate the associations between trajectories of depressive symptoms and rate of cognitive decline among Chinese middle-aged and older adults.

METHODS

A population-based cohort data from the Chinese Health and Retirement Longitudinal Study (CHARLS) were utilized. The cohort was followed up for 8 years and assessments of depressive symptoms and cognitive performance were conducted in 2011, 2013, 2015, and 2018. Group-based trajectory modeling (GBTM) was conducted to identify heterogeneous trajectories of depressive symptoms. Linear mixed models (LMMs) were performed to examine the associations between trajectories of depressive symptoms and rate of decline in global cognitive function, episodic memory, and executive function.

RESULTS

Among 9264 middle-aged and older adults, five depressive symptoms trajectory groups were determined: constantly low (n = 3206, 34.6%), constantly medium (n = 3747, 40.5%), increasing (n = 899, 9.7%), decreasing (n = 929, 10.0%), and constantly high (n = 483, 5.2%). Individuals with increasing depressive symptoms exhibited the fastest decline in global cognitive function and episodic memory, followed by participants reporting constantly high or medium depressive symptoms. A significantly higher rate of decline in executive function was only observed among subjects who had increasing depressive symptoms in comparison with their counterparts with constantly low depressive symptoms. There was no significant difference in rate of cognitive decline between individuals with decreasing depressive symptoms and those demonstrating constantly low depressive symptoms.

CONCLUSION

Increasing depressive symptoms co-occurred with the steepest cognitive decline among Chinese middle-aged and older adults, which potentially suggested that interventions targeting to alleviating cognitive decline should be given priority among individuals with deterioration of depressive symptoms.

The association between social engagement and depressive symptoms in middle-aged and elderly Chinese: A longitudinal subgroup identification analysis under causal inference frame

Background

Studies have suggested that there is a significant association between social engagement and depression symptoms. However, this association may differ in people with different features such as different sociodemographic characteristics and health conditions.

Methods

Research data were obtained from the CHARLS database. The causal inference was performed with the propensity score. We used the linear mixed-effects model tree algorithm under the causal inference frame for subgroup identification analysis.

Results

We included 13,521 participants, and the median follow-up time is 4 years. Under the casual inference frame, the association between social engagement and depression symptoms is confirmed for all included individuals (OR = 0.957, P = 0.016; 95%CI: 0.923–0.992). Using the linear mixed-effects model tree, we found two subgroups, including middle-aged and elderly residents who live in rural areas with <6 h of sleep and those living in urban areas, could benefit more from social engagement. After using the propensity score method, all the two subgroups selected are statistically significant (P = 0.007; P = 0.013) and have a larger effect size (OR = 0.897, 95%CI: 0.830–0.971; OR = 0.916, 95%CI: 0.854–0.981) than the whole participants. As for sex difference, this associations are statistically significant in male (OR: 0.935, P = 0.011, 95%CI: 0.888–0.985) but not in female (OR: 0.979, P = 0.399, 95%CI: 0.931–1.029).

Conclusions

Our findings indicate that social engagement may reduce the risks of depressive symptoms among all individuals. The identified subgroups of middle-aged and elderly residents who live in rural areas with <6 h of sleep and those who live in urban areas may benefit more from the social engagement than the whole participants.

Tobacco smoking and depressive symptoms in Chinese middle-aged and older adults: Handling missing values in panel data with multiple imputation

Introduction

The high co-occurrence of tobacco smoking and depression is a major public health concern during the novel coronavirus disease-2019 pandemic. However, no studies have dealt with missing values when assessing depression. Therefore, the present study aimed to examine the effect of tobacco smoking on depressive symptoms using a multiple imputation technique.

Methods

This research was a longitudinal study using data from four waves of the China Health and Retirement Longitudinal Study conducted between 2011 and 2018, and the final sample consisted of 74,381 observations across all four waves of data collection. The present study employed a multiple imputation technique to deal with missing values, and a fixed effects logistic regression model was used for the analysis.

Results

The results of fixed effects logistic regression showed that heavy smokers had 20% higher odds of suffering from depressive symptoms than those who never smoked. Compared to those who never smoked, for short-term and moderate-term quitters, the odds of suffering from depressive symptoms increased by 30% and 22%, respectively. The magnitudes of the odds ratios for of the variables short-term quitters, moderate-term quitters, and long-term quitters decreased in absolute terms with increasing time-gaps since quitting. The sub-group analysis for men and women found that heavy male smokers, short-term and moderate-term male quitters had higher odds of suffering from depressive symptoms than those who never smoked. However, associations between smoking status and depressive symptoms were not significant for women.

Conclusions

The empirical findings suggested that among Chinese middle-aged and older adults, heavy smokers and short-term and moderate-term quitters have increased odds of suffering from depressive symptoms than those who never smoked. Moreover, former smokers reported that the probability of having depressive symptoms decreased with a longer duration since quitting. Nevertheless, the association between depressive symptoms and smoking among Chinese middle-aged and older adults is not straightforward and may vary according to gender. These results may have important implications that support the government in allocating more resources to smoking cessation programs to help middle-aged and older smokers, particularly in men.

Associations between sarcopenia with asthmatic prevalence, lung function and comorbidity

Background

Sarcopenia is listed as a treatment trait in behavioral/risk factors for severe asthma, but studies on asthma and sarcopenia are lacking. This study aimed to determine the associations between sarcopenia with asthmatic prevalence, symptoms, lung function and comorbidities.

Methods

Fifteen thousand four hundred four individuals from the China Health and Retirement Longitudinal Study(CHARLS) and 10,263 individuals from the Study on global AGEing and adult health(SAGE) in China were included in this study. Four components of this study were used to assess the bidirectional association in the prevalence between sarcopenia with asthma, and estimate the relationships between sarcopenia with asthmatic symptoms, lung function and comorbidities via generalized additive models. The 10-item Center for Epidemiological Studies–Depression Scale ≥ 12 scores was classified as depression.

Results

In the CHARLS and SAGE, the prevalence of sarcopenia in asthmatics was higher than those without asthma. Asthmatics with sarcopenia had a significantly increased prevalence of severe shortness of breath(sarcopenia yes vs. no, adjusted OR = 3.71, 95%CI: 1.43–9.60) and airway obstruction in the SAGE(sarcopenia yes vs. no, adjusted OR = 6.82, 95%CI: 2.54–18.34) and an obvious reduction of PEF in the CHARLS and SAGE(sarcopenia yes vs. no, adjusted RR = 0.86, 95%CI: 0.82–0.91) compared to asthmatics without sarcopenia. The presence of sarcopenia was positively associated with the prevalence of chronic obstructive pulmonary disease(sarcopenia yes vs no, adjusted OR = 5.76, 95%CI:2.01–16.5) and depression(sarcopenia yes vs no, adjusted OR = 1.87, 95%CI:1.11–3.14) in asthmatics.

Conclusions

Our findings indicated that sarcopenia partakes in the development of asthma by affecting lung function and comorbidities and maybe considered a treatable trait of asthma management.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03394-9.

Association of Peak Expiratory Flow with Cognitive Function in the Chinese Middle-Aged and Elderly Population: A 7-Year Longitudinal Study

BACKGROUND

Previous studies have shown that impaired pulmonary function may be associated with cognitive decline, posing the question of whether peak expiratory flow (PEF) % pred could present a modifiable risk factor.

OBJECTIVE

To assess the association between PEF% pred and future cognitive function among Chinese participants aged 45 years and above.

METHODS

Data came from four waves fielded by the China Health and Retirement Longitudinal Study. Cognitive function was assessed by a global cognition score. Multivariate linear regression models and generalized estimating equation (GEE) were used to investigate associations between PEF% pred and later cognitive function.

RESULTS

A total of 2,950 participants were eligible for the final data analysis. After adjustment for baseline cognition and potential confounders, the association remained statistically significant (β = 0.0057, p = 0.027). Domains with increases were focused on episodic memory (β= 0.0028, p = 0.048) and figure drawing (β= 0.0040, p = 0.028). But these associations were not found in women (β= 0.0027, p = 0.379). However, GEE suggested that the rates of decline in global cognition decreased by 0.0096 (p < 0.001) units per year as baseline PEF% pred increased by 1% in middle-aged and elderly individuals, regardless of sex. And higher baseline PEF% pred correlated with declined rates of decrease of in episodic memory, figure drawing, and Telephone Interview of Cognitive Status (TICS).

CONCLUSION

Higher baseline PEF% pred was significantly associated with slower cognitive decline in global cognition, episodic memory, figure drawing, and TICS in middle aged and elderly Chinese adults.

Gender differences and determinants of late-life depression in China: A cross-sectional study based on CHARLS

BACKGROUND

Literature related to within-gender differences in depression among older individuals in China is sparse, and often limited to specific provinces.

METHODS

We analyzed data on 8104 participants from the fourth waves of the China Health and Retirement Longitudinal Study (CHARLS). Using logistic regressions, we identified the correlates of depressive symptoms among older individuals, both in the aggregate and along gender lines. Additionally, we examined the interaction between other covariates and gender.

RESULTS

The prevalence of late-life depression symptoms among females was 45.79%, which was higher than among males (31.13%, P < 0.01). Living in a rural area, earned income, education level, tobacco use and number of chronic diseases were correlated with depression in both genders (P < 0.05), with no interaction (P_int > 0.050). Social activities were correlated with depression in males but not in females (P_int = 0.373), inverse in their 70s (P_int = 0.020) group. The correlation between daily sleep duration and depression is stronger in females than in males (P_int ≤ 0.020). Female who drunk <1 per month decreased their prevalence of depression, but it increased in males (P_int = 0.001). Taking part in LTPA and being a religious believer were correlated with depression in females (P < 0.05), but not in males (P_(LTPA)int = 0.009; P_{(religious believers)int} = 0.033).

LIMITATIONS

Since only analyzed one wave of data, we could not conclude that there was causation.

CONCLUSIONS

Geriatric depression is a serious mental health issue in China. There is, an urgent need for prevention and intervention activities for older individuals, and these needs diverge along gender lines.

The role of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment among older Indian adults

Due to different nature of social engagements of older adults in South Asian countries specially attributed to the traditional family-based care and support, beneficial effects of religiosity and religious involvement on mental health and cognitive function in older age might be different than those in the Western world. Yet, there is a paucity of research in these countries on the role of religion in moderating the relationship between late life depression and cognition. This study explored the association of depressive symptoms with cognitive impairment and the moderating effects of religiosity and religious participation in those associations among older Indian adults. A cross-sectional study was conducted on data that were drawn from the Longitudinal Ageing Study in India wave-1, collected during 2017-2018. The sample size comprised of 31,464 older adults aged 60 years and above. Shortened 10-item Centre for Epidemiologic Studies Depression Scale was used to measure depressive symptoms. Items from the Mini-Mental State Examination and the cognitive module of the China Health and Retirement Longitudinal Study and the Mexican Health and Aging Study were adapted for measuring cognitive impairment. Moderated multiple linear regression models were used to test the research hypotheses of the study. The proportion of older adults who reported religion as less important to them was 21.24%, whereas, only 19.31% of the respondents participated in religious activities. The mean score of cognitive impairment (on a scale of 0-43) in the current sample was 19.43 [confidence interval (CI): 19.32-19.53] among men and 23.55 [CI: 23.44-23.66] among women. Older adults with depressive symptoms had significantly higher likelihood of cognitive impairment [aCoef: 0.18, CI: 0.16-0.20] in comparison to older adults with no depressive symptoms. Older individuals who were religious were significantly less likely to have cognitive impairment [aCoef: - 0.43, CI: - 0.61 to - 0.25] than their non-religious counterparts. Compared to older adults who did not participate in religious activities, those who participated in religious activities were less likely [aCoef: - 0.52, CI: - 0.69 to - 0.34] to have cognitive impairment. Further, significant moderating effects of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment were observed. The current study contributes to advancing knowledge about the mental health benefits of religiosity and religious participation by focusing on older adults in India who culturally have limited chances to participate in social activities. The findings suggest that older adults with depressive symptoms may participate in religious activities which may reduce their chances of cognitive impairment. This protective effect of religiosity and religious participation on late life cognitive health has important implications for promoting alternative social support mechanisms for older adults in terms of enhancing their mental wellbeing and contributing to active aging.

Associations Between Incident Asthma With Comorbidity Profiles, Night Sleep Duration, and Napping Duration Trajectories: A 7-Year Prospective Study

Objectives: We aim to determine whether comorbidity profiles, night sleep duration, and napping duration trajectories were associated with incident asthma in Chinese adults.

Methods: A total of 7,655 community-dwelling individuals were included in this study. Latent class/profile analysis(LCA/LPA) identified comorbidity profiles, night sleep duration, and napping duration trajectories. A generalized additive model with binomial regression assessed the associations between incident asthma with sleep trajectories.

Results: During a 7-year follow-up period, 205 individuals were newly diagnosed with asthma. LPA identified four trajectories of night sleep duration: dominant short (n = 2,480), dominant healthy-long (n = 1,405), long decreasing (n = 1875), and short increasing (n = 1895). We also found three trajectories of napping duration: short increasing (n = 3,746), stable normal (n = 1,379), and long decreasing (n = 2,530). We found three comorbidity profiles: dominant heart diseases or risks (n = 766), multiple disorders (n = 758), and minimal or least disorders (n = 6,131). Compared with dominant short night sleep duration, three other trajectories were associated with significantly decreasing incident asthma. Minimal or least disorders profile was associated with a significant reduction of new-onset asthma than two other comorbidity profiles in dominant short night sleep duration.

Conclusion: Our findings suggested that a dominant short night sleep duration trajectory potentially increases incident asthma in Chinese adults.

Prospective bidirectional associations between depression and chronic kidney diseases

Previous studies had reported the mutual relation between depression and chronic kidney diseases (CKD). This study aimed to investigate potential bidirectional relationships between depression and CKD. Participants more than 45 years from the China Health and Retirement Longitudinal Study (CHARLS) were included in present study. In study I, we tended to assess the association between baseline depression with the risk of subsequent CKD. In study II, we aimed to examine whether the onset of CKD could predict the development of depression. Multivariate logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) in study I and study II, respectively. In study I, 301 (6.16%) respondents experienced CKD in participants without depression, and 233 (8.48%) respondents experienced CKD in participants with depression. Participants with depression had higher risk of developing CKD with the corresponding ORs (95% CIs) was 1.38(1.08-1.76). In study II, 1333 (22.29%) subjects in the non-CKD group and 97 (27.17%) in CKD group developed depressive symptoms. Individuals with CKD had higher risk of developing depression than those without CKD, with the multivariate ORs (95% CIs) was 1.48(1.23-1.78). Significant bidirectional relationships remained in both sensitivity and subgroup analyses. Findings demonstrate bidirectional relationships between depression and CKD. Individuals with depression were associated with increasing risk of CKD; in addition, CKD patients had higher risk of developing depression.

Prevalence, causes, and impact of self-reported vision impairment among older people in China: Findings from the China health and retirement longitudinal study

This article investigated the prevalence, causes, and impact of self-reported vision impairment among older people in China. A total of 12,910 participants aged ⩾50 years were included in this study from China Health and Retirement Longitudinal Study (CHARLS) over the periods of 2011, 2013, and 2015. All data were reported by participants via a self-reported questionnaire. Distance vision was assessed by asking if they could see the face of a person on the other side of the street. Near vision was assessed by asking if they could read ordinary newspaper. Depressive symptoms were evaluated by 10-item Center for Epidemiological Studies Depression Scale. The analysis method included the χ2 – square distribution test and multiple regression analysis. This article first found that prevalence of self-reported vision impairment was much higher in rural than in urban areas; in urban areas, females had a greater chance of being affected than males, and for both sexes, it increases with increasing age. Second, some factors found are significantly associated with increased vision impairment rates, include increasing age, female gender, rural residents, elementary-level education, unmarried individuals, and non-agricultural occupations. Third, the leading cause of vision impairment was a refractive error and the most common causes of vision impairment include cataracts and glaucoma. Fourth, vision impairment was significantly associated with falls and depressive symptoms and has a negative effect on the quality of life of older Chinese. The article concluded that older people with self-reported vision impairment were relatively low and it is majorly caused by refractive error. Older people with distance vision impairment and near vision impairment were more likely to report falls and depressive symptoms in the future. In line with these findings, a couple of policy recommendations for further research were made.

The impact of son or daughter care on Chinese older adults' mental health

RATIONALE

The traditional cultural norm in China is that eldercare should be offered by a son and his family. However, several decades of family planning policies and rapid economic growth have led to low fertility rates, urbanisation, and cultural change, resulting in both reduced household size and the availability of sons. The traditional eldercare system is thus being challenged, especially in urban areas, with an increasing number of daughters supporting their parents, enabled by rising female empowerment, formal economic employment and improved financial capacities. Existing studies examine and compare the amount and types of support provided by sons and daughters, but very little is known about the differential health outcomes of parents experiencing eldercare offered by sons and by daughters.

OBJECTIVE

This study investigates the difference in mental health outcomes of parents who receive eldercare from their sons and from their daughters.

METHOD

We analyse waves 2013, 2015, and 2018 of the China Health and Retirement Longitudinal Study, with mental health measured by a 10-item Center for Epidemiological Studies-Depression (CES-D-10) score. We compare the CES-D-10 score between parents with different sources of care - son's family, daughter's family or other - with multivariate statistical analysis.

RESULTS

Receiving regular care from a son (or a daughter-in-law) is associated with a lower CES-D score than from a daughter (or a son-in-law). The difference mainly exists amongst those with a stronger son preference and those who are heavily deponent on their children, in particular rural parents, mothers, and those with less wealth.

CONCLUSION

Our study explores the evidence on mental health inequalities among parents with different sources of care, highlighting that lack of son care creates an apparent mental health disadvantage. Lowering older adults' dependency on their children may alleviate this inequality by improving their financial independence. We also suggest the development of a long-term care system and greater facilitation of older adults to take-up supplementary services for family care.

Physical activity, smoking, alcohol consumption and depressive symptoms among young, early mature and late mature people: A cross-sectional study of 76,223 in China

OBJECTIVES

The purpose of this study was to screen for depressive symptoms in a large sample of Chinese population, and explore the effects of demographic and lifestyle factors on depressive symptoms based on the brain maturity.

METHOD

Adults from 8 health management centers in 6 provinces completed an online health self-report questionnaire. Finally, a total of 76,223 valid questionnaires were collected.

RESULT

A total of 76,223 participants were included in this study, including 44,167 (57.9%) males and 32,056 (42.1%) females. The percentage of clinically relevant depressive symptoms among young, early mature and late mature participants was 13.5%, 18.5% and 27.3%, respectively. Among young participants, being female was a risk factor for depressive symptoms, while having a bachelor's or graduate degree, being married, smoking, and moderate alcohol consumption were protective factors. And among early mature participants, female, married and other marital status, BMI of 24-27.9 were risk factors, post-graduate education or above, smoking, moderate alcohol consumption and meeting exercise standard were protective factors. Among late mature participants, Compared with junior high school, all other degrees were protective factors, as was meeting physical activity standards, excessive alcohol consumption was a risk factor.

CONCLUSION

This study analyzed the association among young, early mature and late mature participants respectively, and proposed strategies for improving healthy lifestyle of Chinese people. Our findings support the need for individualized recommendations to improve mental health based on brain maturity.

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.