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J Geriatr Psychiatry Neurol ; 35(2): 196-205, 2022 03.
Article in English | MEDLINE | ID: covidwho-1731434

ABSTRACT

OBJECTIVES: The Coronavirus Disease 2019 (COVID-19) pandemic has profound negative effects on the mental health of clinically stable older patients with psychiatric disorders. This study examined the influential nodes of psychiatric problems and their associations in this population using network analysis. METHODS: Clinically stable older patients with psychiatric disorders were consecutively recruited from four major psychiatric hospitals in China from May 22 to July 15, 2020. Depressive and anxiety syndromes (depression and anxiety hereafter), insomnia, posttraumatic stress symptoms (PTSS), pain, and fatigue were measured using the Patient Health Questionnaire, General Anxiety Disorder, Insomnia Severity Index, Posttraumatic Stress Disorder Checklist - Civilian Version, and Numeric Rating Scales for pain and fatigue, respectively. RESULTS: A total of 1063 participants were included. The network analysis revealed that depression was the most influential node followed by anxiety as indicated by the centrality index of strength. In contrast, the edge connecting depression and anxiety was the strongest edge, followed by the edge connecting depression and insomnia, and the edge connecting depression and fatigue as indicated by edge-weights. The network structure was invariant by gender based on the network structure invariance test (M = .14, P = .20) and global strength invariance tests (S = .08, P = .30). CONCLUSIONS: Attention should be paid to depression and its associations with anxiety, insomnia, and fatigue in the screening and treatment of mental health problems in clinically stable older psychiatric patients affected by the COVID-19 pandemic.


Subject(s)
COVID-19 , Sleep Initiation and Maintenance Disorders , Stress Disorders, Post-Traumatic , Anxiety/epidemiology , Anxiety Disorders/epidemiology , COVID-19/complications , COVID-19/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Disease Outbreaks , Fatigue/epidemiology , Fatigue/etiology , Humans , Pain , Pandemics , SARS-CoV-2 , Sleep Initiation and Maintenance Disorders/epidemiology , Stress Disorders, Post-Traumatic/epidemiology
2.
Global Health ; 16(1): 119, 2020 12 18.
Article in English | MEDLINE | ID: covidwho-992508

ABSTRACT

BACKGROUND: The pattern of fatigue in older psychiatric patients during the COVID-19 outbreak was unknown. This study examined the prevalence of fatigue and its association with overall quality of life (overall QOL) in clinically stable older patients with psychiatric disorders during the COVID-19 outbreak. METHODS: This was a multicenter, cross-sectional study. Fatigue, depressive symptoms, pain, insomnia symptoms, and overall QOL were assessed with standardized instruments. RESULTS: A total of 1063 patients were recruited. The prevalence of fatigue was 47.1% (95%CI: 44.1-50.1%). An analysis of covariance revealed that overall QOL was significantly lower in patients with fatigue compared to those without (P = 0.011). A multiple logistic regression analysis revealed that more severe depressive symptoms (OR = 1.15, P < 0.001), insomnia symptoms (OR = 1.08, P < 0.001) and pain (OR = 1.43, P < 0.001) were significantly associated with fatigue. CONCLUSIONS: Fatigue is common among clinically stable older patients with psychiatric disorders during the COVID-19 outbreak. Considering its negative impact on overall QOL, regular assessment of fatigue and appropriate treatment warrant attention in this subpopulation.


Subject(s)
COVID-19/complications , Fatigue/complications , Mental Disorders/complications , Pain/complications , Quality of Life , Severity of Illness Index , Sleep Initiation and Maintenance Disorders/complications , Age Factors , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/psychology , Cross-Sectional Studies , Depression/complications , Depression/epidemiology , Depressive Disorder/complications , Depressive Disorder/epidemiology , Disease Outbreaks , Fatigue/epidemiology , Female , Humans , Logistic Models , Male , Mental Disorders/epidemiology , Middle Aged , Pain/epidemiology , Prevalence , SARS-CoV-2 , Sleep Initiation and Maintenance Disorders/epidemiology , Social Isolation/psychology , Surveys and Questionnaires
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