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10.1016/j.jad.2020.06.035 http://scihub22266oqcxt.onion/10.1016/j.jad.2020.06.035 32658813!7330582!32658813     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32658813&cmd=llinks): Failed to open stream: HTTP request failed! 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Prevalence, risk factors and clinical correlates of depression in quarantined population during the COVID-19 outbreak |pdf=|usr=}}{{32658813}} gab.com Text Prevalence, risk factors and clinical correlates of depression in quarantined population during the COVID-19 outbreak JO: J Affect Disord http://www.kidney.de/pget.php?&tw=1&pmid=32658813 #FOAvip BACKGROUND: The COVID-19 outbreak has brought tremendous psychological pressure to the general population, which may lead to depression. Therefore, this study aim to evaluate the prevalence and clinical correlates of depressive symptoms in the general population quarantined during the COVID-19 outbreak in Shenzhen. METHODS: 2237 quarantined general individuals participated in this cross-sectional study from February 14 to March 4, 2020, during their 14 days quarantine. They completed the Zung's Self-Rating Depression Scale (SDS) for depression, Zung's self-rating anxiety scale (SAS) for anxiety, the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, and the Impact of Events Scale-Revised (IES-R) for post-traumatic stress symptoms (PTSS). RESULTS: The prevalence of depressive symptom was 6.21% in quarantined individuals. The depressed group were younger, less married and educated, and had higher SAS, PSQI, IES-R total scores (all p<0.05), as well as more avoidance, intrusion and hyperarousal symptoms than the non-depressed group. Correlation analysis showed significant correlations between SDS score and the following parameters: age, marriage, education, SAS, PSQI, IES-R total and its three subscale scores (Bonferroni corrected all p<0.05). Further multiple regression indicated that age, marriage, education, SAS, PSQI, IES-R total score, Avoidance and Hyperarousal factor were independent predictors of depressive symptom. LIMITATIONS: This study adopted a cross-sectional design and used self-report questionnaires. CONCLUSIONS: Our results suggest an elevated prevalence of depressive symptom in quarantined general individuals in Shenzhen. Some demographic and clinical variables were associated with depressive symptoms. Twit Text FOAVip Prevalence, risk factors and clinical correlates of depression in quarantined population during the COVID-19 outbreak ????J Affect Disord http://www.kidney.de/pget.php?&tw=1&pmid=32658813 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32658813 #FOAvip English Wikipedia <ref>{{Cite pmid|32658813}}</ref> Prevalence, risk factors and clinical correlates of depression in quarantined population during the COVID-19 outbreak #MMPMID32658813 Peng M; Mo B; Liu Y; Xu M; Song X; Liu L; Fang Y; Guo T; Ye J; Yu Z; Deng Q; Zhang X J Affect Disord 2020[Oct]; 275 (ä): 119-124 PMID32658813show ga BACKGROUND: The COVID-19 outbreak has brought tremendous psychological pressure to the general population, which may lead to depression. Therefore, this study aim to evaluate the prevalence and clinical correlates of depressive symptoms in the general population quarantined during the COVID-19 outbreak in Shenzhen. METHODS: 2237 quarantined general individuals participated in this cross-sectional study from February 14 to March 4, 2020, during their 14 days quarantine. They completed the Zung's Self-Rating Depression Scale (SDS) for depression, Zung's self-rating anxiety scale (SAS) for anxiety, the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, and the Impact of Events Scale-Revised (IES-R) for post-traumatic stress symptoms (PTSS). RESULTS: The prevalence of depressive symptom was 6.21% in quarantined individuals. The depressed group were younger, less married and educated, and had higher SAS, PSQI, IES-R total scores (all p<0.05), as well as more avoidance, intrusion and hyperarousal symptoms than the non-depressed group. Correlation analysis showed significant correlations between SDS score and the following parameters: age, marriage, education, SAS, PSQI, IES-R total and its three subscale scores (Bonferroni corrected all p<0.05). Further multiple regression indicated that age, marriage, education, SAS, PSQI, IES-R total score, Avoidance and Hyperarousal factor were independent predictors of depressive symptom. LIMITATIONS: This study adopted a cross-sectional design and used self-report questionnaires. CONCLUSIONS: Our results suggest an elevated prevalence of depressive symptom in quarantined general individuals in Shenzhen. Some demographic and clinical variables were associated with depressive symptoms. |Adult[MESH] |Anxiety/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*psychology[MESH] |Cross-Sectional Studies[MESH] |Depression/epidemiology[MESH] |Disease Outbreaks[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*psychology[MESH] |Prevalence[MESH] |Quarantine/*psychology[MESH] |Risk Factors[MESH]Prevalence, risk factors and clinical correlates of depression in quar(epmc).pdf DeepDyve Pubget Overpricing