OBJECTIVE: Depression is one of the most common mental disorders and substantially decreases socioemotional well-being and health-related quality of life. Analyzing temporal patterns in depressive symptoms can reveal emerging risks that require attention and have implications for mental health promotion. The present study disentangled age, period, and cohort (APC) effects on trends in depressive symptoms and their gender disparities among China\'s nationally representative samples of middle-aged and older adults.
METHODS: Using four-wave data (2011, 2013, 2015, and 2018) from the China Health and Retirement Longitudinal Study (N = 65455), APC effects were quantified based on the hierarchical APC model. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to measure depressive symptoms.
RESULTS: Depressive symptoms increased during late life and stabilized after reaching an advanced age. After further adjusting for individual characteristics, depressive symptoms exhibited a negative trend with advancing age. The mean levels of depressive symptoms remained stable during the study period. Depressive symptoms varied significantly across cohorts, with those born in 1949-1951 having the most severe depressive symptoms. Significant life-course and cohort variations existed in the gender gaps in depressive symptoms. Although women had higher mean scores on the CES-D-10 scale throughout the life course, the gender gaps in depressive symptoms gradually narrowed with age, as depressive symptoms decreased more rapidly among women. A widening trend in gender gaps in depressive symptoms was found among those born after the mid-1950s, mainly driven by a notable decline in depressive symptoms among men CONCLUSIONS: The convergence of living conditions between genders in late life, as a result of traditional Chinese culture, may have narrowed the gender gap in depressive symptoms. However, given the widening gender disparities in depressive symptoms among younger cohorts, more attention should be paid to women\'s mental health in the context of China\'s rapid socioeconomic development.

BACKGROUND: To investigate the cross-sectional and longitudinal associations between depressive symptoms and the prevalence of frailty and its components in a nationally representative sample of middle-aged and older Chinese adults.
METHODS: The China Health and Retirement Longitudinal Study (CHARLS) provided data on 2581 (after inclusion and exclusion criteria) adults aged ≥ 45 years. Every two years, face-to-face, computer-aided personal interviews (CAPI), and structured questionnaires were used to follow up with the respondents. The Chinese version of the Center for Epidemiologic Studies-Depression Scale (CES-D) was used to evaluate depressive symptoms, and the Fried criteria were used to measure frailty. The odds ratio (OR) and 95% confidence interval (CI) for the association of exposure (depressive symptoms at baseline) with the onset of the outcome (frailty and its components) in the individuals at baseline were analyzed by binary logistic regression.
RESULTS: At baseline, 11.62% of participants had frailty, and 57.92% had depressive symptoms. In the cross-sectional analysis, depressive symptoms (OR = 5.222, 95%CI 3.665-7.442) were associated with frailty. In the longitudinal analysis, after adjusting for the full set of covariates among participants free of baseline frailty, depressive symptoms were significantly associated with incident frailty during the short term (OR = 2.193, 95%CI 1.324-3.631) and the long term (OR = 1.926, 95%CI 1.021-3.632). Meanwhile, depressive symptoms were associated with an increased risk of weakness (OR = 1.990, 95%CI 1.250-3.166), slowness (OR = 1.395, 95%CI 1.044-1.865), and exhaustion (OR = 2.827, 95%CI 2.150-3.719) onset during the short-term. Depressive symptoms were associated with an increased risk of exhaustion (OR = 2.869, 95%CI 2.004-4.109) onset during the long-term.
CONCLUSIONS: Among middle-aged and older adults, depressive symptoms could predict frailty during 2 years of follow-up and 4 years of follow-up. When considering potential confounding factors, depressive symptoms were considered a predictor of weakness, slowness, and exhaustion. Interventions aimed at preventing depressive symptoms may be beneficial in reducing frailty and its components.

UNASSIGNED: Depression is one of the most common mental illnesses among middle-aged and older adults in China. It is of great importance to find the crucial factors that lead to depression and to effectively control and reduce the risk of depression. Currently, there are limited methods available to accurately predict the risk of depression and identify the crucial factors that influence it.
UNASSIGNED: We collected data from 25,586 samples from the harmonized China Health and Retirement Longitudinal Study (CHARLS), and the latest records from 2018 were included in the current cross-sectional analysis. Ninety-three input variables in the survey were considered as potential influential features. Five machine learning (ML) models were utilized, including CatBoost and eXtreme Gradient Boosting (XGBoost), Gradient Boosting decision tree (GBDT), Random Forest (RF), Light Gradient Boosting Machine (LightGBM). The models were compared to the traditional multivariable Linear Regression (LR) model. Simultaneously, SHapley Additive exPlanations (SHAP) were used to identify key influencing factors at the global level and explain individual heterogeneity through instance-level analysis. To explore how different factors are non-linearly associated with the risk of depression, we employed the Accumulated Local Effects (ALE) approach to analyze the identified critical variables while controlling other covariates.
UNASSIGNED: CatBoost outperformed other machine learning models in terms of MAE, MSE, MedAE, and R2metrics. The top three crucial factors identified by the SHAP were r4satlife, r4slfmem, and r4shlta, representing life satisfaction, self-reported memory, and health status levels, respectively.
UNASSIGNED: This study demonstrates that the CatBoost model is an appropriate choice for predicting depression among middle-aged and older adults in Harmonized CHARLS. The SHAP and ALE interpretable methods have identified crucial factors and the nonlinear relationship with depression, which require the attention of domain experts.

OBJECTIVE: Middle-aged and older adults smoking for years are afflicted by smoking-related diseases and functional limitations; however, little is known about the effect of smoking on nonfatal conditions in middle and later life. This study aims to investigate the impact of smoking on both total life expectancy (TLE) and disability-free life expectancy (DFLE) and the variations in such effects by educational level in China.
METHODS: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS), 2011-2018, with a total sample of 16,859 individuals aged 45 years or older involved in the final analysis. The Activities of Daily Living (ADL) scale was used to measure disability, and the population-based multistate life table method was used to estimate the differences in TLE and DFLE by smoking status and educational attainment.
RESULTS: At baseline, 28.9% of participants were current smokers, 8.5% were former smokers, and 62.6% never smoked. Approximately 5.6% were identified with ADL disability. Both current smokers and former smokers experienced lower TLE and DFLE than never smokers, and such differences were particularly prominent among men. Intriguingly, former smokers manifested a lower DFLE for both sexes and a lower TLE among women, though a longer TLE among men, compared with current smokers. Similar differences in TLE and DFLE by smoking status were observed for groups with different levels of education.
CONCLUSIONS: Never smokers live longer and healthier than current smokers and persons who quit smoking. Smoking was associated with greater reductions in TLE and DFLE among men. However, educational attainment might not moderate the adverse effect of smoking on both fatal and nonfatal conditions in the context of China. These findings have implications for disability prevention, aged care provision and informing policies of healthy aging for China and elsewhere.

BACKGROUND: Cognitive decline, a heavy burden on middle-aged and older adults as global aging is aggravated, was found to be associated with sleep quality. However, the country-between heterogeneity of the association prevented us from quantifying underlying relationship and identifying potential effect modifiers for vulnerable populations and targeted interventions.
METHODS: We collected data from 79,922 eligible adults in five nationwide cohorts, examined the respective relationships between cognitive function and sleep quality, synthesized underlying average relationships by meta-analysis, and explored effect modifiers by meta-regressions. Additionally, we conducted subgroup and interaction analyses to identify vulnerable populations and to determine their disparities in vulnerability.
RESULTS: Although country-between disparities exist, cognitive function is robustly associated with sleep quality in middle-aged and older adults worldwide, with an effect (β) of 0.015 [0.003, 0.027]. Executive function is the subdomain most relevant to sleep quality. Disparities in the effects of sleep quality on subdomains exist in populations with different sexes (orientation: βfemale/βmale = 1.615, P = 0.020), marital statuses (orientation: βunmarried/βmarried = 2.074, P < 0.001), education levels (orientation:βuneducated/βeducated = 2.074, P < 0.001) and chronic disease statuses (memory: βunhealthy/βhealthy = 1.560, P = 0.005).
CONCLUSIONS: Cognitive function decreases with worsening sleep quality in middle-aged and older adults. Vulnerability to poor sleep generally persists in singles, females, the uneducated and people with chronic diseases. To minimize disparities and achieve health equity, we advocate for targeted interventions, i.e., encouraging socialization in singles, confirming effectiveness of hormone replacement therapy in females, employing compulsory education in middle-aged and older adults.

The relationship between distinct dietary selenium intake and type 2 diabetes (T2D) is still a topic of uncertainty. This study examined the relationship between dietary selenium intake and T2D risk among middle-aged and older Chinese adults. Dietary selenium intake was assessed through three 24 h recalls, using data from the China Health and Nutrition Survey. To investigate the relationship and the potential dose-response pattern between selenium intake and the likelihood of developing T2D, we employed both the restricted cubic spline analysis and the Cox proportional hazards model as our analytical tools. A cohort of 5970 participants aged ≥ 50 years was followed for an average of 5.44 years. The results revealed a V-shaped correlation between selenium intake and T2D risk, with the lowest risk observed at approximately 45 µg/day. Below this level, the risk decreased with an increasing selenium intake, while the risk increased between 45 and 100 µg/day. No significant association was found beyond 100 µg/day. These findings suggest that both low and high selenium consumption may increase T2D risk, highlighting the importance of maintaining a balanced selenium intake for T2D prevention.

BACKGROUND: Handgrip strength (HGS) weakness and asymmetry were recently reported to be associated with age-related health conditions. However, little is known about their combined effects on depression. We aimed to explore the joint association of HGS asymmetry and weakness with depressive symptoms in Chinese middle and older aged population.
METHODS: 8700 participants aged ≥45 years were enrolled from China Health and Retirement Longitudinal Study (2015-2018). HGS weakness was determined as maximal HGS < 28 kg in males and <18 kg in females. HGS asymmetry was measured by HGS ratio and was defined using two different rules. Specifically, HGS ratio < 0.90 or >1.10 (10 % rule) and <0.80 or >1.20 (20 % rule) were considered as asymmetry. Participants were classified into four groups: normal and symmetric HGS, asymmetry only, weakness only, and both weakness and asymmetry. Depressive symptoms were assessed by the 10-item Center for Epidemiologic Studies Depression Scale, with scores ≥12 defined as depression. The logistic regression and multiple linear regression models were conducted to estimate the associations between HGS status and depressive symptoms.
RESULTS: The three-year incidence of depression was 19.2 %. After adjusting for covariates, compared to normal and symmetric HGS, participants with both HGS asymmetry and weakness showed the greatest risk of incident depression (10 % rule: OR 1.55, 95 % CI 1.19-2.02; 20 % rule: OR 1.71, 95 % CI 1.16-2.50). The coexistence of asymmetry and weakness was related to a significant increase in depression score (10 % rule: β 0.96, 95 % CI 0.38-1.54; 20 % rule: β 0.94, 95 % CI 0.08-1.81). The complete case analysis supported the results, and the associations were not modified by age, sex, and hand dominance.
CONCLUSIONS: Depressive assessment was based on self-reported screening instrument.
CONCLUSIONS: The presence of both HGS asymmetry and weakness was associated with a higher risk of depression. Examining HGS asymmetry along with weakness may aid in identifying individuals at risk of depression to enable early interventions.

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BACKGROUND: Both late-life depression and childhood maltreatment have become major global public health issues, given their prevalence and social-economic and health consequences. However, previous studies have solely focused on the relationship of childhood maltreatment to average levels of depressive symptoms. The current study addresses this gap of knowledge by simultaneously examining the impacts of childhood intra- and extra-familial maltreatment on age trajectories of depressive symptoms in later life in the Chinese context.
METHODS: Hierarchical linear models were applied to data from the China Health and Retirement Longitudinal Study (2011-2018, N = 12,669 individuals aged 45 to 80, comprising N = 43,348 person-years). Depressive symptoms were measured by the CES-D-10 scale. Childhood intra-familial maltreatments were measured by physical abuse and emotional neglect, while extra-familial maltreatment was measured by peer bullying. All analyses were conducted separately by gender in Stata 16.
RESULTS: Childhood extrafamilial peer bullying (β = 1.628, p < 0.001), and intrafamilial physical abuse (β = 0.746, p < 0.001) and emotional neglect (β = 0.880, p < 0.001) were associated with higher later-life depressive symptoms levels in the whole sample. Peer bullying differences in depressive symptoms widened with age for both men and women. Physical abuse differences in depressive symptoms remained stable over the life course among men but increased among women. Emotional neglect differences in depressive symptoms decreased with age among men, while it increased first and then decreased among women.
CONCLUSIONS: Findings in this study suggest that childhood maltreatment is not only associated with later-life poorer mental health but contributes to increasing inequalities in mental health as people age, especially among peer-bullying victims and women.

BACKGROUND: With increasing trend of internet use in all age groups, whether internet use can prevent frailty in middle-aged and older adults remains unclear.
METHODS: Five cohorts, including Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS), the Survey of Health, Ageing and Retirement in Europe (SHARE), English Longitudinal Study of Aging (ELSA), and Mexican Health and Aging Study (MHAS), were used in this study. Internet use, social isolation, and frailty status was assessed using similar questions. The Generalized estimating equations models, random effects meta-analysis, COX regression, and mediation analysis were utilized.
RESULTS: In the multicohort study, a total of 155,695 participants were included in main analysis. The proportion of internet use was varied across countries, ranging from 5.56% in China (CHARLS) to 83.46% in Denmark (SHARE). According to the generalized estimating equations models and meta-analysis, internet use was inversely associated with frailty, with the pooled ORs (95%CIs) of 0.72 (0.67,0.79). The COX regression also showed that participants with internet use had a lower risk of frailty incidence. Additionally, the association was partially mediated by social isolation and slightly pronounced in participants aged 65 and over, male, not working for payment, not married or partnered, not smoking, drinking, and not co-residence with children.
CONCLUSIONS: Our findings highlight the important role of internet use in preventing frailty and recommend more engagements in social communication and activities to avoid social isolation among middle-aged and older adults.