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10.1371/journal.pone.0234850

http://scihub22266oqcxt.onion/10.1371/journal.pone.0234850
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32555642!7302485!32555642
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suck abstract from ncbi


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pmid32555642      PLoS+One 2020 ; 15 (6): e0234850
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  • Evaluation of health-related quality of life using EQ-5D in China during the COVID-19 pandemic #MMPMID32555642
  • Ping W; Zheng J; Niu X; Guo C; Zhang J; Yang H; Shi Y
  • PLoS One 2020[]; 15 (6): e0234850 PMID32555642show ga
  • OBJECTIVE: Since December 2019, an increasing number of cases of the 2019 novel coronavirus disease (COVID-19) infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified in Wuhan, Hubei Province, China. Now, more cases have been reported in 200 other countries and regions. The pandemic disease not only affects physical health who suffered it, but also affects the mental health of the general population. This study aims to know about the impact of the COVID-19 epidemic on the health-related quality of life (HRQOL) of living using EQ-5D in general population in China. METHODS: An online-based survey was developed and participants were recruited via social media. The questionnaires included demographic and socioeconomic data, health status, the condition epidemic situation and EQ-5D scale. The relationships of all factors and the scores of EQ-5D were analyzed. Logistic regression model were used to the five health dimensions. RESULTS: The respondents obtained a mean EQ-5D index score of 0.949 and a mean VAS score of 85.52.The most frequently reported problem were pain/discomfort (19.0%) and anxiety/depression (17.6%). Logistic regression models showed that the risk of pain/discomfort and anxiety/depression among people with aging, with chronic disease, lower income, epidemic effects, worry about get COVID-19 raised significantly. CONCLUSION: The article provides important evidence on HRQOL during the COVID-19 pandemic. The risk of pain/discomfort and anxiety/depression in general population in China raised significantly with aging, with chronic disease, lower income, epidemic effects, worried about get COVID-19 during the COVID-19 pandemic. The results from each categorical data can be used for future healthcare measures among general population.
  • |*Betacoronavirus[MESH]
  • |*Pandemics[MESH]
  • |*Quality of Life[MESH]
  • |*Research Design[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Anxiety[MESH]
  • |COVID-19[MESH]
  • |Child[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*epidemiology/*psychology/virology[MESH]
  • |Depression[MESH]
  • |Female[MESH]
  • |Health Status[MESH]
  • |Health Surveys[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pain[MESH]
  • |Pneumonia, Viral/*epidemiology/*psychology/virology[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]


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