A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BMC Psychiatry, Год журнала: 2025, Номер 25(1)

Опубликована: Янв. 8, 2025

Elderly individuals living alone represent a vulnerable group with limited family support, making them more susceptible to mental health issues such as depression and anxiety. This study aims construct network model of anxiety symptoms among older adults alone, exploring the correlations centrality different symptoms. The goal is identify core bridging inform clinical interventions. Using data from 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS), this constructed elderly alone. Depression were assessed using Center for Epidemiologic Studies Scale-10 (CESD-10) Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. A Gaussian Graphical Model (GGM) was employed build symptom network, Fruchterman-Reingold algorithm used visualization, thickness color edges representing partial between To minimize spurious correlations, Least Absolute Shrinkage Selection Operator (LASSO) method applied regularization, optimal regularization parameters selected Extended Bayesian Information Criterion (EBIC). We further calculated Expected Influence (EI) Bridge (Bridge EI) evaluate importance Non-parametric bootstrap methods assess stability accuracy network. Network analysis revealed that GAD2 (Uncontrollable worry) GAD4 (Trouble relaxing) exhibited highest strength (1.128 1.102, respectively), indicating their significant direct associations other roles nodes in Other highly central nodes, GAD1 (Nervousness or anxiety) GAD3 (Generalized worry), underscore dominance overall Betweenness results highlighted critical bridge facilitating information flow symptoms, while CESD3 (Feeling depressed) demonstrated role across modules. Weighted analyses confirmed relaxing). Additionally, showed gender differences depression-anxiety networks study, through analysis, uncovered complex relationships identifying These findings provide essential insights targeted Future research should explore intervention strategies these improve

Язык: Английский

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Inter-relationships of depression and anxiety symptoms among widowed and non-widowed older adults: findings from the Chinese Longitudinal Healthy Longevity Survey based on network analysis and propensity score matching

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Март 12, 2025

Background Depression and anxiety are prevalent mental health issues among older adult widowed adults. However, the symptom-level relationships between these conditions remain unclear. Due to high correlations complex various symptoms, this study employs network analysis explore differences in structures of depression symptoms non-widowed Methods Propensity score matching was used identify adults with similar demographic characteristics. Data from 1,736 matched controls were analyzed using Chinese Longitudinal Healthy Longevity Survey (2017–2018). measured by Center for Epidemiologic Studies Scale-10 (CESD-10) seven-item Generalized Anxiety Disorder Scale (GAD-7), respectively. Central bridge evaluated expected influence (EI) (BEI), Results Network revealed similarities central adults, both groups exhibiting “Feeling depressed or down” (CESD3), tense having difficulty relaxing” (GAD4), “Being unable stop control worrying” (GAD2) as core symptoms. emerged In group, anxious, worried, distressed” (GAD1) most strongly connected “Felt lonely” (CESD8); “Worrying too much about things” (GAD3) linked increasingly exhausted useless age” (CESD4); (CESD3) had a strong association “Becoming easily annoyed irritable” (GAD6). exhibited strongest “Having good sleep quality” (CESD10); “Getting upset over small matters” (CESD1) closely (GAD1); (CESD3). Conclusion Common highlight universal intervention targets. Addressing may help prevent depression-anxiety comorbidity. These findings support targeted interventions improve outcomes. Future research should evaluate tailored effectiveness.

Язык: Английский

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Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease

BMC Public Health, Год журнала: 2025, Номер 25(1)

Опубликована: Март 21, 2025

Patients with cardiovascular disease (CVD) often experience anxiety and depression. However, the central bridge symptoms of depression among patients CVD remain unclear. Network analysis is a statistical method that can reveal visualise complex relationships between multiple variables. This study aimed to identify in anxiety-depression network, which may provide potential targets for preventing intervening A total 1180 were selected from Psychology Behavior Investigation Chinese Residents. The survey was conducted July 10 September 15, 2021. Face-to-face electronic questionnaires distributed respondents by investigators. Generalized Anxiety Disorder 7 (GAD-7) Patient Health Questionnaire-9 used assess depressive CVD. using R4.02 network. Among included this study, 673 (57%) male 507 (43%) female. More than half (53.5%) under 60 years old. mean GAD-7 score 4.66 ± 4.38, 169 (14.3%) had symptoms. PHQ-9 6.29 5.29, 235 (19.9%) Furthermore, 144 (12.2%) people both In network symptoms, "unable sit still because anxiety", "feeling afraid something terrible about happen", bad or like failure, disappointing oneself family" most influential We also found happen" "thoughts dying hurting some way" pivotal provides new insights into structure These identified be potentially effective CVD, treatment strategies

Язык: Английский

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The silent struggle: assessing anxiety prevalence in Marrakech’s hypertensive population

BMC Public Health, Год журнала: 2025, Номер 25(1)

Опубликована: Март 28, 2025

Anxiety is a disorder that may negatively impact the quality of life for people with hypertension. In Marrakech, epidemiological data on anxiety in hypertension patients are scarce, preventing holistic treatment hypertensive and favoring development comorbidities. This study aims to assess prevalence self-reported among receiving care primary healthcare centers Marrakech. Between May 2021 December 2022, cross-sectional 1053 who visited Marrakech was carried out. Socio-demographic information, behavioral clinical characteristics, care-patient-physician triad were all collected via face-to-face questionnaire. The Generalized Disorder Scale (GAD-7) used anxiety. Multivariate logistic regression identify risk factors A total 348 (33.1%) those overall reported having symptoms. 301 (86.5%) females, mean age 61.5 ± 9.6 years (mean standard deviation). High stress, moderate family history hypertension, pain physical discomfort, non-purchase drug if it out stock at centers, living urban areas, lack social support, non-consumption five fruits vegetables per day identified as Self-reported prevalent one third Hence, greater emphasis should be placed mental health component when managing centers.

Язык: Английский

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Network structure of common mental health problems and life satisfaction in a Japanese population

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 10, 2025

Poor life-satisfaction, feelings of loneliness, depression, and anxiety are commonly reported in the Japanese general population. The aim this study was to examine network structure these common mental health problems a sample explore differences between males females. Participants (N = 476; 235 males, 241 females) were recruited from population completed questionnaires measure levels anxiety, life satisfaction. A psychometric analysis conducted using Gaussian Graphical Model, comparison test (NCT) performed evaluate overall consistency global connectivity. identified relaxing, sad mood, isolation, poor satisfaction as central nodes network. NCT revealed no significant male female networks well However, strength values for restlessness tiredness significantly higher than There connectivity psychopathology Problems being isolated others, contribute may be potential intervention targets.

Язык: Английский

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Construction of Depression Prediction Model Based on Machine Learning and Its Interpretability

Science Discovery, Год журнала: 2025, Номер 13(2), С. 25 - 32

Опубликована: Апрель 14, 2025

<i>Objectives:</i> The aim of this study was to construct depression prediction models based on machine learning algorithms, compared the performance different risk prediction, and interpreted model. <i>Methods:</i> A total 2573 participants from CHARLS database. LASSO stepwise regression were used screen for variables. dataset is randomly divided into training set, validation set test according 6:2:2. SMOTE resampling balance when fitted Nine algorithms model, inclpuding Decision Tree (DT), Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Machine (LightGBM), Elastic Network Regression (Enet), Support Vector (SVM), Logistic Regression, Multilayer Perceptron (MLP), K-Nearest Neighbor (KNN). ability each classifier evaluated evaluation index, "optimal" model selected. Subsequently, SHapley Additive exPlanations (SHAP) Local Interpretable Model-agnostic Explanations (LIME) analyze interpretability optimal <i>Results</i>: XGBoost predicted best among 9 models. Its AUC value reached 0.908 clinical net benefit highest. Delong showed that there a significant difference between ROC curves other (<I>P</I><0.05). global interpretation SHAP life satisfaction, self-rated health status, sleep duration, cognitive score inversely proportional value. Female, rural residents, body aches pains in any area, non-retirement, limited Instrumental Activities Daily Living (IADL) have positive effect depression. local diagram LIME personalized single sample. <i>Conclusions:</i> are an effectively tool predict use can maximize advantages learning, which helpful or detect patients at high as early possible, take comprehensive prevention treatment

Язык: Английский

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Determinants of life satisfaction in older adults with diabetes in China: a national cross-sectional study

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Апрель 22, 2025

Background The life satisfaction (LS) of individuals among older adults with diabetes should not be neglected. However, current research provides limited insight into the LS in China. Therefore, primary objective this study is to assess status China, delve factors influencing it, and identify key factors. Methods This selected 1,304 patients from Chinese Longitudinal Healthy Longevity Survey (CLHLS) database for analysis. A multivariate logistic regression model was used analyze diabetic patients, a random forest further utilized rank importance significant Results 30.14% were dissatisfied their lives. Multivariate Logistic analysis shows that self-assessed health status, economic depressive symptoms, exercise, living arrangements, hearing impairment, cognitive impairment all significantly affect diabetics. OR values are relatively high, fair poor 5.03 times 9.72 higher risk dissatisfaction compared those good (fair: = 5.03, 95% CI: 3.46–7.31; poor: 9.72, 6.20–15.26). feeling 7.69 than (OR 7.69, 95%CI: 4.25–13.89). results showed order highest lowest impairment. Conclusion Our reveals rate high. it essential implement measures multiple perspectives effective prevention intervention. Among these factors, priority given interventions focusing on support management, as may serve crucial protective enhancing well-being diabetes.

Язык: Английский

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The impact of mold exposure on anxiety symptoms in the older adults: A moderated mediation model based on CLHLS

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 284, С. 116967 - 116967

Опубликована: Сен. 5, 2024

Язык: Английский

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The association between physical activity and anxiety in college students: parallel mediation of life satisfaction and self-efficacy

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Окт. 3, 2024

To explore the functions that physical activity (PA), life satisfaction, and self-efficacy have in process of coping with anxiety among Chinese college students, to mediating role satisfaction this process.

Язык: Английский

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The Effects of Physical Activity on Anxiety in College Students: Parallel Mediation of Life Satisfaction and Self-Efficacy

Опубликована: Июнь 21, 2024

Objective: To explore the functions that physical activity (PA), life satisfaction, and self-efficacy have in process of coping with anxiety among Chinese college students, to mediating role satisfaction this process. Methods: Participants were 358 students (186 males, 172 females, mean age 20.88, SD=±1.80). Psychosocial tests including Physical Activity Rating Scale (PARS-3), College Student Life Satisfaction (CSLSS), General Self-Efficacy (GSES), Generalized Anxiety Disorder (GAD-7) completed. Correlations between variables calculated using Pearson's test. The mediation model was tested SPSS 26.0 PROCESS macro regression bootstrap. Results: showed a negative correlation (β= -0.1617, p < 0.001), played relationship anxiety, and, more importantly, affected through parallel effects self-efficacy, total effect 55.34%. Conclusion: By increasing students' participation activity, it helps promote growth their which is key reducing promoting mental health.

Язык: Английский

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