Volume 20 Issue 3
Mar.  2022
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Article Navigation >  Chinese Journal of General Practice  > 2022  >  20(3): 446-449
ZHOU Yi-jiang, LI Shu-guang, MO Qiu-yan, MO Yan, LU Li-ming, QIN Zhi-ming. Mental health status of home isolation people during the prevalence of COVID-19[J]. Chinese Journal of General Practice, 2022, 20(3): 446-449. doi: 10.16766/j.cnki.issn.1674-4152.002374
Citation: ZHOU Yi-jiang, LI Shu-guang, MO Qiu-yan, MO Yan, LU Li-ming, QIN Zhi-ming. Mental health status of home isolation people during the prevalence of COVID-19[J]. Chinese Journal of General Practice, 2022, 20(3): 446-449. doi: 10.16766/j.cnki.issn.1674-4152.002374
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Mental health status of home isolation people during the prevalence of COVID-19

doi: 10.16766/j.cnki.issn.1674-4152.002374

  • The Community Health Service Center of Gao Xin Gong Ye Yuan Qu, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530007, China

Funds:

 Z20200711

  • Received Date: 2021-03-16
    Available Online: 2022-08-13
    Abstract
  •   Objective  To explore the mental health status and influencing factors of home isolation people during the prevalence of coronavirus disease 2019 (COVID-19) and understand the mental health needs and appropriate interventions to provide psychological intervention for the masses in public health emergencies.  Methods  Using convenience sampling, 859 home isolation people aged 18-80 years old were surveyed using a questionnaire. Chi-Square test and Fisher's exact test were used to compare between groups, and stepwise multiple logistic regression was used to investigate the factors influencing mental health status.  Results  A total of 832 subjects were included, including 773 general home isolation people and 59 key home isolation people. The proportions of anxiety, depression and stress were 76.27% (45/59), 84.75% (50/59) and 84.75% (50/59) among the key home isolation people and 70.38% (544/773), 76.46% (591/773) and 74.46% (591/773) among the general home isolation people, respectively. The difference was not statistically significant (all P>0.05). The most preferred psychological assistance of the two groups was WeChat or QQ counselling and how to ease psychological stress. Stepwise multiple logistic regression showed that female, difficulty falling asleep, difficulty maintaining sleep and early waking were risk factors for anxiety (all P < 0.05). Female, difficulty falling asleep and difficulty maintaining sleep were risk factors for depression (all P < 0.05). Compared with the 18-39 age group, the 40-59 age group was less prone to depression (OR=0.590, 95% CI: 0.420-0.840). Compared with those in the 18-39 age group, those with junior high school education and below and those who have difficulty falling asleep, those in the 40-59 age group, those with a master's degree and above and those who have difficulty falling asleep were less likely to experience psychological stress.  Conclusion  During the prevalence of COVID-19, large-scale isolation measures have a large impact on the mental health of the people. Gender and sleeping quality are important factors influencing psychological stress, and psychological crisis intervention should be targeted to the population.

     

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