Symptom Structure of Depression in Older Adults on the Qinghai–Tibet Plateau
A Network Analysis
Bibliographic Data
| ID | 15510274 |
|---|---|
| Authors | Buzohre Eli (0000-0002-3028-0248, Institute of Psychology, Chinese Academy of Sciences), Yueyue Zhou (0000-0003-1369-2686, Henan University), Yaru Chen (0000-0003-2368-3951, Institute of Psychology, Chinese Academy of Sciences), Xin Huang (0009-0007-5355-1008, Institute of Psychology, Chinese Academy of Sciences), Zhengkui Liu (0000-0002-3467-7410, Institute of Psychology, Chinese Academy of Sciences, corresponding author) |
| Year | 2022 |
| Volume | 19 |
| Issue | 21 |
| Pages | 13810-13810 |
| Publication date | 2022-10-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192113810 |
| PMID | 36360690 |
| OpenAlex | W4307189927 |
| Language | EN |
| Citations received | 2 |
| References cited | 49 |
Previous studies have confirmed that depression among residents in high-altitude areas is more severe, and that depression may be more persistent and disabling in older adults. This study aims to identify the symptom structure of depression among older adults on the Qinghai-Tibet Plateau (the highest plateau in the world) from a network perspective. This cross-sectional study enrolled 507 older adults (ages 60-80 years old) from the Yushu Prefecture, which is on the Qinghai-Tibet Plateau, China. Depressive symptoms were self-reported using the shortened Center for Epidemiological Studies-Depression Scale (CES-D-10). Then, a Gaussian graphical model (GGM) of depression was developed. Poor sleep, fear, and hopelessness about the future exhibited high centrality in the network. The strongest edge connections emerged between unhappiness and hopelessness about the future, followed by hopelessness about the future and fear; hopelessness about the future and poor sleep; fear and unhappiness; and then poor sleep and unhappiness in the network. The findings of this current study add to the small body of literature on the network structure and complex relationships between depressive symptoms in older adults in high-altitude areas
Cross-sectional study · Depression (economics · Plateau (mathematics · Psychiatry · Clinical Psychology · Functional Brain Connectivity Studies · Health, Environment, Cognitive Aging · Medicine · Mental Health Research Topics · Psychology · Epidemiology · Internal Medicine
What do centrality measures measure in psychological networks?
Age- and gender-specific prevalence of depression in latest-life – Systematic review and meta-analysis
Deconstructing the construct
What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis
Sparse inverse covariance estimation with the graphical lasso
A network theory of mental disorders
Using Network Analysis to Identify Central Symptoms of Adolescent Depression
Mental Disorders as Causal Systems
Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks
Graph drawing by force‐directed placement
Estimating psychological networks and their accuracy
Screening for Depression in Well Older Adults
Qgraph
Problems with Centrality Measures in Psychopathology Symptom Networks
Depression and Altitude
Prevalence of Depression in Older Nursing Home Residents in High and Low Altitude Regions
A Large Sample Survey of Tibetan People on the Qinghai–Tibet Plateau
Depression in Children and Adolescents on the Qinghai-Tibet Plateau
Hopes, fears and expectations about the future
Fear of crime and older people in low- and middle-income countries
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |