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Mental Health Status of Patients Recovered from COVID-19 in Macau: A Cross-Sectional Survey.
- Source :
- Healthcare (2227-9032); Nov2024, Vol. 12 Issue 21, p2188, 12p
- Publication Year :
- 2024
-
Abstract
- Background/Objectives: The COVID-19 pandemic has led to a global health crisis, impacting physical, and mental well-being, particularly among those who have recovered from the illness. This study aimed to assess the mental health status of patients recovered from COVID-19 in Macau, focusing on the impact of sequelae of COVID-19, and identifying demographic factors associated with poor mental health. Methods: A cross-sectional online survey was conducted involving 494 adults who had recovered from COVID-19, with 426 participants included in the final analysis. Mental health was evaluated using the 12-item General Health Questionnaire (GHQ-12), with scores ≥3 indicating poor mental health. Results: This study revealed a high prevalence of poor mental health, affecting 71.8% of the respondents. Binary logistic regression identified experiencing COVID-19 sequelae (OR = 5.727, 95% CI: 2.973–11.031), being in the age groups of 26–45 (OR = 4.227, 95% CI: 1.754–10.185), or 61, and above (OR = 18.072, 95% CI: 3.590–90.962), being male (OR = 0.501, 95% CI: 0.257–0.979), being married (OR = 5.714, 95% CI: 1.919–17.016), and dissatisfaction with family relationships (OR = 2.957, 95% CI: 1.228–7.119) as significant risk factors for poor mental health. Conclusions: This study underscores the critical need for targeted psychological support for patients recovered from COVID-19 in Macau, particularly for those with sequelae, and those in vulnerable demographic groups. The findings suggest that specific age groups and individuals with sequelae may face higher mental health risks, indicating the necessity for prioritized interventions. [ABSTRACT FROM AUTHOR]
- Subjects :
- COMPETENCY assessment (Law)
PSYCHOTHERAPY
CROSS-sectional method
STATISTICAL correlation
SATISFACTION
AT-risk people
QUESTIONNAIRES
SAMPLE size (Statistics)
LOGISTIC regression analysis
CHI-squared test
DESCRIPTIVE statistics
SURVEYS
ODDS ratio
CONVALESCENCE
SOCIODEMOGRAPHIC factors
CONFIDENCE intervals
DATA analysis software
COVID-19
DEMOGRAPHY
EDUCATIONAL attainment
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 21
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 180780641
- Full Text :
- https://doi.org/10.3390/healthcare12212188