METHOD: This is a cross-sectional, survey-based study in which participants responded to questionnairesregarding perceived burden (ZBI), quality of life (IEQoL), psychological distress (DASS-21), family functioning (FAD) and perceived social support (MSPSS). Additional measures include socio-demographics and clinical characteristics of the care-recipient.
RESULTS: A total of 111 caregivers participated, of whom 72.1% were females, 55% parents, 59.5% Chinese, 51.4% unemployed and 46.0% with tertiary education.Approximately half (42.3%) reported mild-to-moderate levels of burden (mean ZBI score 29.93, SD 16.09).Furthermore, multiple regression analysisidentified10 predictors of caregiver burden, namely family functioning, weekly caregiving hours, number of caregivers per family, attitude towards epilepsy, family support, caregivers' gender, personal income and as well as care-recipients' age of onset, seizure frequency and ADL dependency (F(10, 85) = 11.37, p stress (r = 0.576, p
METHODOLOGY: An online cross-sectional study was conducted via non-probabilistic convenience sampling. Data were collected on sociodemographic characteristics, lifestyle, COVID-19 related influences. Mental health status was assessed with depression, anxiety, and stress scale (DASS-21).
RESULTS: 388 students participated this study (72.4% female; 81.7% Bachelor's student). The prevalence of moderate to severe depression, anxiety and stress among university students are 53.9%, 66.2% and 44.6%, respectively. Multivariable logistic regression analysis found that the odds of depression were lower among students who exercise at least 3 times per week (OR: 0.380, 95% CI: 0.203-0.711). The odd ratio of student who had no personal history of depression to had depression, anxiety and stress during this pandemic was also lower in comparison (OR: 0.489, 95% CI: 0.249-0.962; OR: 0.482, 95% CI: 0.241-0.963; OR: 0.252, 95% CI: 0.111-0.576). Surprisingly, students whose are currently pursuing Master study was associated with lower stress levels (OR: 0.188, 95% CI: 0.053-0.663). However, student who had poorer satisfaction of current learning experience were more likely to experience stress (OR: 1.644, 95% CI: 1.010-2.675).
LIMITATIONS: It is impossible to establish causal relationships between variables on mental health outcomes, and there is a risk of information bias.
CONCLUSION: The prevalence of mental health issues among university students is high. These findings present essential pieces of predictive information when promoting related awareness among them.
METHODS: This 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.
RESULTS: During lockdown, family income [χ2 (1, n = 124) = 5.155, p = 0.023], and physical activity (PA) [χ2 (1, n = 134) = 6.366, p = 0.012] were associated with anxiety, while depression was associated with gender [χ2 (1, n = 75) = 4.655, p = 0.031]. After lockdown, family income was associated with both anxiety [χ2 (1, n = 111) = 8.089, p = 0.004], and depression [χ2 (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).
CONCLUSION: Significant 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.