4.6 Article

Determinants and predictors of mental health during and after COVID-19 lockdown among university students in Malaysia

Journal

PLOS ONE
Volume 18, Issue 1, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0280562

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University students, particularly young adults, are more vulnerable to developing psychological distress, anxiety, and depression during the COVID-19 pandemic. This study aimed to investigate and compare the factors influencing and predicting mental health (anxiety and depression) during and after the COVID-19 lockdown among university students.
BackgroundYoung adults, particularly university students might be at greater risk of developing psychological distress, and exhibiting symptoms of anxiety and depression during the COVID-19 pandemic. The primary objective of this study was to explore and compare the determinants and predictors of mental health (anxiety and depression) during and after the COVID-19 lockdown among university students. MethodsThis was an observational, cross-sectional study with a sample size of 417 students. An online survey utilizing International Physical Activity Questionnaire-Short Form (IPAQ-SF), General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) was distributed to Universiti Tunku Abdul Rahman students via Google forms. ResultsDuring lockdown, family income [chi(2) (1, n = 124) = 5.155, p = 0.023], and physical activity (PA) [chi(2) (1, n = 134) = 6.366, p = 0.012] were associated with anxiety, while depression was associated with gender [chi(2) (1, n = 75) = 4.655, p = 0.031]. After lockdown, family income was associated with both anxiety [chi 2 (1, n = 111) = 8.089, p = 0.004], and depression [chi 2 (1, n = 115) = 9.305, p = 0.002]. During lockdown, family income (OR = 1.60, p = 0.018), and PA (OR = 0.59, p = 0.011) were predictors for anxiety, while gender (OR = 0.65, p = 0.046) was a predictor for depression. After lockdown, family income was a predictor for both anxiety (OR = 1.67, p = 0.011), and depression (OR = 1.70, p = 0.009). ConclusionSignificant negative effects attributed to the COVID-19 lockdown, and certain factors predisposed to the worsening of mental health status in university students. Low family income, PA, and female gender were the major determinants and predictors linked to anxiety and depression.

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