METHODS: A cross-sectional study was conducted among undergraduate pharmacy students in 14 countries in Asia and the Middle East. The validated Warwick-Edinburgh Mental Wellbeing Scale (the 14-item WEMWBS) was adopted to assess mental wellbeing. Data collection was performed online between February and April 2022. Descriptive and inferential statistics were used as appropriate.
RESULTS: A total of 2,665 responses were received, mainly from females (68.7%) with a higher presence of private universities (59.1%). About 34.9% had low mental wellbeing levels, while 57 and 8.1% had medium, and high levels, respectively. Binary logistic regression showed that males (AOR: 1.34; CI 95%: 1.11-1.61; p < 0.01) and students with no chronic illnesses (AOR: 2.01; CI 95%: 1.45-2.80; p < 0.001) were more likely to have higher mental wellbeing. Also, participants who did not engage in any exercise (AOR: 0.71; CI 95%: 0.52-0.98; p = 0.04) and those in public universities (AOR: 0.82; CI 95%: 0.69-0.97; p = 0.02) were less likely to have higher mental wellbeing. Additionally, students who had interest/passion for pharmacy (AOR: 1.69; CI 95%: 1.07-2.68; p = 0.02), and those who known pharmacists inspired (AOR: 1.81; CI 95%: 1.06-3.12; p = 0.03), were more likely to have higher mental wellbeing compared with those who had no specific reason for their choice to study pharmacy. The participants with excellent (AOR: 1.87; CI 95%: 1.29-2.70; p = 0.001) or very good self-reported academic performance (AOR: 1.57; CI 95%: 1.12-2.22; p = 0.01) were more likely to have higher mental wellbeing compared to those with fair academic performance.
CONCLUSION: More than a third of the participants had low mental wellbeing. Various demographic, lifestyle, medical and academic factors appeared to affect students' mental wellbeing. Careful consideration of these factors and their integration into the pharmacy schools' plans for student support services and academic advising would be essential to improve students' mental wellbeing.
METHODS: We performed a regression discontinuity design study. A total of 46 975 adults with ≥1 cardiovascular risk factor in 2015 were included in the study. A two-stage evaluation process (stage 1: waist circumference ≥85 cm for men or ≥90 cm for women and ≥1 cardiovascular risk factor; stage 2: body mass index (BMI)≥25 kg/m2 and ≥2 cardiovascular risk factors) was applied. Changes in obesity, cardiovascular outcomes, and health care utilisation were evaluated in a one-year follow-up in the fiscal year 2016.
RESULTS: Participants who received lifestyle guidance intervention based on the waist circumference had a statistically significant reduction in obesity outcomes (Δ weight: -0.30 kg, 95% CI = -0.46 to -0.11; Δ waist circumference: -0.26 cm, 95% CI = -0.53 to -0.02; Δ BMI = -0.09 kg/m2, 95% CI = -0.17 to -0.04) but not in other cardiovascular risk factors and health care utilisation. Analyses based on BMI and results according to demographic subgroups did not reveal significant findings.
CONCLUSIONS: The provision of this intervention had a limited effect on health improvement and a decrease in health care costs, health care visits, and length of stay. A more intensive intervention delivery could potentially improve the efficacy of this intervention programme.