Your browser doesn't support javascript.
loading
Prevalence and predictors of depression, anxiety, and stress among recovered COVID-19 patients in Vietnam.
Trang, Le Thanh Thao; Ngoc Le, Cua; Chutipatana, Nirachon; Shohaimi, Shamarina; Suwanbamrung, Charuai.
Affiliation
  • Trang LTT; Master of Public Health Program in Public Health Research, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
  • Ngoc Le C; Faculty of Basic Science and Public Health, Dong Thap Medical College, Dong Thap, Vietnam.
  • Chutipatana N; Master of Public Health Program in Public Health Research, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
  • Shohaimi S; Excellent Center for Dengue and Community Public Health (EC for DACH), School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
  • Suwanbamrung C; Master of Public Health Program in Public Health Research, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
Rocz Panstw Zakl Hig ; 74(2): 217-230, 2023.
Article in En | MEDLINE | ID: mdl-37309979
ABSTRACT

Background:

During the COVID-19 pandemic, a high prevalence of mental health distress has been reported among people who have recovered from the disease.

Objectives:

To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam. Material and

methods:

The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression.

Results:

The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI 21.2-28.6), 41.5% (95% CI 37.4-45.8), and 25.3% (95% CI 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI 1.27-3.08), holding a bachelor's degree (OR3.51; 95% CI 1.13-10.8), having a high monthly income (OR 2.57; 95% CI 1.03-6.38), diabetes (OR 2.21; 95% CI 1.04-4.68), heart disease (OR 3.83; 95% CI 1.79-8.17), respiratory disease (OR 3.49; 95% CI 1.24-9.84), and diarrhea (OR 4.07; 95% CI 1.06-15.6). Living in the urban area (OR 1.57; 95% CI 1.07-2.29), having sleep disturbance (OR 2.32; 95% CI 1.56-3.46), and fatigue (OR 1.57; 95% CI 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR 3.75; 95% CI 1.47-9.60) or diarrhea (OR 4.34; 95% CI 1.18-15.9) were predictors of stress.

Conclusion:

People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Depression / COVID-19 Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Rocz Panstw Zakl Hig Year: 2023 Type: Article Affiliation country: Thailand

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Depression / COVID-19 Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Rocz Panstw Zakl Hig Year: 2023 Type: Article Affiliation country: Thailand