ArticleScientific reports2024
Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Self-focused rumination links stressful events to depressive and anxiety symptoms in older adults with depressive symptoms: path and network analyses.Scientific reports · 2026Article
- Bridging Fear of Negative Evaluation and Cognitive Emotion Regulation Strategies: A Network Perspective on the Roles of Family Functioning and Self-Control.Depression and anxiety · 2026Article
- An exploratory psychometric network analysis of the college adaptation questionnaire in a sample of first year students.PloS one · 2026Article
- Temporal depressive symptom networks in older adults during the COVID-19 pandemic.Journal of mood and anxiety disorders · 2025Article
- Anxiety and Depression Among College Students Before and After the COVID-19 Pandemic Lockdown Lift: A Network Analysis Study Focus on the Transition Period.PsyCh journal · 2025Article
- Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old.Psychiatry investigation · 2024Article
- COVID-19-Related Increases in Depressive and Anxious Symptoms Are Associated with Maladaptive Eating Among Patients up to 4 Years Post-bariatric Surgery: Letter to the Editor.Obesity surgery · 2024Article
- Examining Anxiety and Insomnia in Internship Students and Their Association with Internet Gaming Disorder.Journal of clinical medicine · 2024Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
The health crisis caused by COVID-19 in the United Kingdom and the confinement measures that were subsequently implemented had unprecedented effects on the mental health of older adults, leading to the emergence and exacerbation of different comorbid symptoms including depression and anxiety. This study examined and compared depression and anxiety symptom networks in two specific quarantine periods (June-July and November-December) in the older adult population in the United Kingdom. We used the database of the English Longitudinal Study of Aging COVID-19 Substudy, consisting of 5797 participants in the first stage (54% women) and 6512 participants in the second stage (56% women), all over 50 years of age. The symptoms with the highest centrality in both times were: "Nervousness (A1)" and "Inability to relax (A4)" in expected influence and predictability, and "depressed mood (D1"; bridging expected influence). The latter measure along with "Irritability (A6)" overlapped in both depression and anxiety clusters in both networks. In addition, a the cross-lagged panel network model was examined in which a more significant influence on the direction of the symptom "Nervousness (A1)" by the depressive symptoms of "Anhedonia (D6)", "Hopelessness (D7)", and "Sleep problems (D3)" was observed; the latter measure has the highest predictive capability of the network. The results report which symptoms had a higher degree of centrality and transdiagnostic overlap in the cross-sectional networks (invariants) and the cross-lagged panel network model of anxious and depressive symptomatology.
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