Association of TyG Index and TG/HDL-C Ratio with Trajectories of Depressive Symptoms: Evidence from China Health and Retirement Longitudinal Study DOI Open Access
Tingting Guo, Qing Zou, Qi Wang

et al.

Nutrients, Journal Year: 2024, Volume and Issue: 16(24), P. 4300 - 4300

Published: Dec. 12, 2024

Objectives: To explore whether the triglyceride–glucose (TyG) index and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio are associated with trajectories of depressive symptoms. Methods: In this longitudinal study, 4215 participants aged 45 years older were recruited from China Health Retirement Longitudinal Study 2011 2018. The symptoms, measured by 10-item Center for Epidemiologic Studies Depression Scale (CESD-10), identified using group-based trajectory modeling. Multinomial logistic models restricted cubic spline analysis used investigate relationships between TyG TG/HDL-C Stratified analyses conducted based on sex, age, place residence, body mass (BMI). Results: Five distinct symptoms characterized stable low, moderate, decreasing, increasing, high during a follow-up 7 years. associations not entirely consistent. After adjusting covariates, higher at baseline was lower odds being decreasing (ORad = 0.61, 95% CI: 0.40–0.92) compared low trajectory, revealed negative linear relationship likelihood However, no longer statistically significant when all confounders controlled 0.72, 0.50−1.04). Additionally, association observed among 45–64-year-old individuals, female participants, those living in rural areas, normal BMI. Limitations: This study middle-aged elderly population China, extrapolation other regions populations requires further confirmation. Conclusions: Compared ratio, may be better predictor adults. Considering that pathology depression progresses long term, our findings have utility identifying available reliable markers development depression.

Language: Английский

The U-shape Association between Population Agglomeration and Individual Depression: the Role of Dialect Diversity DOI
Jiatong Han, Kai Zhang, Han Lin

et al.

Journal of Urban Health, Journal Year: 2024, Volume and Issue: 101(4), P. 740 - 751

Published: July 10, 2024

Language: Английский

Citations

5
Savior or saboteur? A nationwide study on digital economy and depression in China DOI
Lu Chen, Le Chang, Han Lin

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 365, P. 578 - 586

Published: Aug. 25, 2024

Language: Английский

Citations

4
Prediction of late-onset depression in the elderly Korean population using machine learning algorithms DOI Creative Commons

Jong Wan Park,

Chang Woo Ko,

D. Lee

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 7, 2025

Late-onset depression (LOD) refers to that newly appears in elderly individuals without prior episodes. Predicting future is crucial for mitigating the risk of major prospective patients. This study aims develop machine learning models predict depression. Using public data from nationwide panel survey 'Korean Longitudinal Study Aging,' we employed latent growth modeling and mixture identify four classes trajectories Korean population. Based on results binary logistic regression, selected 12 variables capable distinguishing LOD population reference tested (ML) algorithms. While most ML algorithms showed acceptable predictive capability, Random Forest Classifier Gradient Boosting demonstrated superior performance. Consequently, successfully established new ML-based prediction programs. These programs could be further developed into self-checking online tools, expected serve as decision support systems primary medical care health screening services.

Language: Английский

Citations

0
The U-Shape Association Between Noise and Individual Depression: Nationwide Longitudinal Evidence from Three Waves of CHARLS DOI

Jiahui Xiangli,

Le Chang,

Renzhi Sheng

et al.

Journal of Urban Health, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Language: Английский

Citations

0
China's Healthy City Pilot Policy Improves Physical and Mental Health Outcomes for Middle‐Aged and Older Adults: A Quasi‐Natural Experiment Based on CHARLS DOI
Zheng Zhang,

Huijie Xu,

Jiansong Zhou

et al.

International Journal of Geriatric Psychiatry, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 25, 2025

ABSTRACT Background Rapid urbanization in China has raised significant public health concerns, particularly regarding residents' physical and mental well‐being. Effective interventions are urgently needed to address these issues. Objective This study evaluates the impact of China's Healthy City Pilot Policy (HCPP), introduced 2016, on improving outcomes examines demographic differences mechanisms driving effects. Methods Using data from Health Retirement Longitudinal Study (CHARLS) 2011 2020, a difference‐in‐differences (DID) approach was employed, along with propensity score matching (PSM‐DID), placebo tests, sensitivity analyses for robust results. Results The HCPP significantly enhanced pilot cities, leading better self‐rated health, lower medical expenses, higher life satisfaction, reduced depression. These benefits were most pronounced among elderly, women, less‐educated individuals, residents rural central‐western regions. Key included increased exercise, social activities, improved air quality. Conclusion positively impacts urban especially vulnerable groups, highlighting urgent need integrate considerations into planning providing valuable insights future policy development.

Language: Английский

Citations

0
Come together! Population aggregation, strong tie, and individual depression: a moderated mediating investigation DOI

Jiangyan Wang,

Jiahao Zhang, Han Lin

et al.

Current Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

Language: Английский

Citations

1
The Mental Health Benefits of Smart Cities: Evidence from a Quasi-Natural Experiment in China DOI

Ninger Lou,

Rong Guo,

Yilong Han

et al.

Journal of Management in Engineering, Journal Year: 2024, Volume and Issue: 41(1)

Published: Nov. 26, 2024

Language: Английский

Citations

1
Can network infrastructure construction alleviate individual depression? Evidence from a quasi-natural experiment of “Broadband China” DOI
Yanxiang Liang, Na Xu,

Jianping Yang

et al.

Current Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

Citations

1
Development and validation of a depression risk-predicting model for Chinese middle-aged and elderly Chronic Kidney Disease patients DOI
Tongxin Sun,

Qihui Ye,

Xunliang Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Abstract Background A global public health issue, chronic kidney disease(CKD) may worsen more quickly if depression symptoms overlap. In this study, a nomogram model was developed and validate to predict in Chinese CKD patients between the ages of middle-aged old. Methods 7:3 random split 1571 participants China Health Retirement Longitudinal Study made into training validation sets. After doing Least Absolute Shrinkage Selection Operator(LASSO) multivariate binary logistic regression analysis discover determinants symptoms. These predictors were used create nomogram, which then evaluated for discriminative power, predictive performance, clinical applicability using receiver operating characteristic (ROC) curves, calibration Hosmer-Leme show tests, decision curve (DCA). Results The included 10 predictors, including gender, marital status, place residence, education level, life satisfaction. pain, sleep disorders, self-reported health, as well comorbid diseases. Area under curve(AUC) values sets were, turn, 0.889 (95% CI: 0.869–0.908) 0.869 0.836–0.902), Hosmer–Lemeshow test p = 0.113 0.259. curves Hosmer-Lemeshow results verify model's capabilities. Additionally, (DCA) illustrated high net benefit provided by model. Conclusions We validated risk elderly patients. Clinicians can accurately screen older having depressive evaluation instrument, is important early intervention.

Language: Английский

Citations

0
Association between urbanicity and depressive symptoms among Chinese middle-aged and older adults DOI
Yanhua Chen, Peicheng Wang,

Qiaoyuan He

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract Background Depression is a pressing public health issue and may be affected by multifaceted urban living, yet the specific urbanicity elements associated unclear. Using multidimensional scale, we explored association between its components with risk of depressive symptoms. Methods This study used data from four waves China Health Retirement Longitudinal Study, including 12,515 participants aged ≥45 years at baseline in 2011 450 rural communities, 8,766 7 follow-up. Multilevel logistics regression Cox proportional hazards models examined cross-sectional longitudinal associations Results Living areas highest tertile was 61% lower symptoms cross-sectionally (odds ratio (OR): 0.39, 95% confidence interval (CI): 0.30-0.50) 33% longitudinally (hazard (HR): 0.67, CI: 0.58-0.77) compared to those living lowest urbanicity. Among components, higher population density (OR: 0.92, 0.87-0.97), better education 0.94, 0.89-0.99), transportation 0.95, 0.92-0.98), sanitation 0.96, 0.93-0.98) odds symptoms, while greater educational socioeconomic diversity (OR, 1.08; CI, 1.03-1.13) had opposite effect. Better economic conditions (HR: 0.90-0.98) availability social services (HR, 0.96; 0.93-0.99) were reduced developing during Additionally, differences found residents midlife older adults. Conclusions Our findings underscore complex links among middle-aged adults, highlighting need consider perspective understand urbanicity-mental nexus. Tailored planning policies should along temporal effectiveness, urban-rural disparities, age group differences.

Language: Английский

Citations

0