ArticleBMC psychiatry2024
Associations between anxiety, depression, and personal mastery in community-dwelling older adults: a network-based analysis.
Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Association between information overload, asthenopia, and depressive and anxiety symptoms in patients with lung cancer: A computer-simulated network analysis.Asia-Pacific journal of oncology nursing · 2026Article
- Possible and Probable Dementia and Depressive/Anxiety Symptoms in U.S. Older Adults: One-Year Follow-Up.Journal of aging and health · 2026Article
- Psychometric Network Characteristics of Anxiety and Depression Among Chinese Physical Education Teachers.Behavioral sciences (Basel, Switzerland) · 2026Article
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- Factors affecting central sensitization inventory score before surgery for distal radius fractures.Experimental and therapeutic medicine · 2026Article
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- Network analysis of sleep disorders, anxiety, and loneliness among the community-dwelling older adults.Frontiers in public health · 2026Article
- Mental health in academia: A national survey on risk and protective factors in the Indonesian context.PloS one · 2026Article
- Psychosocial predictors of depressive and anxiety symptoms among self-initiated older Chinese migrants: evidence from Chiang Mai, Thailand.Frontiers in sociology · 2026Article
- Network analysis of the relationships among activities of daily living disability, cognitive impairment, and depression in Chinese older adults.BMC public health · 2025Article
- The enduring impact of adverse childhood family experiences on depressive symptoms in late adulthood: a network analysis based on CHARLS data.BMC psychology · 2025Article
- Psychological Well-Being Among Older Chinese Migrants in Chiang Mai, Thailand: A Cross-Sectional Study on Structural and Psychosocial Resources.European journal of investigation in health, psychology and education · 2025Article
- Dynamic changes in network structure of depressive symptoms: a two-year naturalistic follow-up study.BMC psychiatry · 2025Article
- Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease.BMC public health · 2025Article
- Analysis of anxiety and depression status and related factors among mothers of children in neonatal intensive care unit.World journal of psychiatry · 2025Article
- Building Consensus on the Relevant Criteria to Screen for Depressive Symptoms Among Near-Centenarians and Centenarians: Modified e-Delphi Study.JMIR aging · 2025Article
- A network analysis of the heterogeneity and associated risk and protective factors of depression and anxiety among college students.Scientific reports · 2025Article
- The complexity of comorbidity distribution and pathogenesis in the elderly based on a dependency network simulation.Scientific reports · 2025Article
- Disparities in anxiety and related factors among Chinese older adults across different aged-care models: a comparison of two cross-sectional studies.BMC geriatrics · 2025Article
- 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 · 2025Article
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8 authors.
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Abstract
backgroundIn China, about 18.70% of the population aged 60 years and older are at risk of low personal mastery as well as anxiety and depression for a variety of reasons. The purpose of this study was to construct a symptom network model of the relationship between anxiety, depression, and personal mastery in community-dwelling older adults and to identify central and bridge symptoms in this network.
methodsDepression, anxiety, and personal mastery were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and Personal Mastery Scale (PMS), respectively. A total of 501 older adults in 16 communities in Changzhou and Zhenjiang, Jiangsu Province, China, were surveyed by using a combination of stratified sampling and convenience sampling methods. The R language was used to construct the network.
results(1) The network structure of anxiety-depression-personal mastery was stable, with "Nervousness" (node GAD1, strength = 1.38), "Sad mood" (node PHQ2, strength = 1.22), " Inability to change" (node PMS2, strength = 1.01) and "Involuntarily" (node PMS3, strength = 0.95) as the central symptoms. (2) "Irritability" (node GAD6, bridge strength = 0.743), "Sad mood" (node PHQ2, bridge strength = 0.655), and "Trouble relaxing" (node GAD4, bridge strength = 0.550) were the bridge symptoms connecting anxiety, depressive symptoms, and personal mastery. (3) In the network comparison test (NCT), residence, somatic chronic comorbidity and gender had no significant effect on network structure.
conclusionsThe construction of the anxiety-depression-personal mastery network structure opens up new possibilities for mechanisms of action and intervention formulation for psychological disorders in community-dwelling older adults. The identification of central symptoms (e.g., nervousness, sad mood, inability to change, involuntarily) and bridge symptoms (e.g., irritability, sad mood, trouble relaxing) in community-dwelling older adults with anxiety, depression, and low sense of mastery can provide a scientific basis for the development of precise interventions.
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