Background. “Health is wealth” is a time tested adage. Health becomes more relevant when it comes to professionals whose job is to provide people with services that maintain an optimum state of mental, physical and social well-being. Healthcare professionals (HCP) differ from general population in regards to the nature of their work, stress, burnout etc. which begs the need to have a robust state of health for the ones who provide it to others. We initiated this study to see if healthcare professionals “practice what they preach others.”Methods. We employed a cross-sectional study design with convenience-sampling technique. Questionnaires were administered directly to the three groups of healthcare professionals (Doctors, Dentists and Nurses) across the province Punjab after their consent. 1,319 healthcare professionals took part in the study (response rate of 87.35). Warwick Edinburg Mental Wellbeing Scale (WEMWBS) was used to assess mental wellbeing. USDA Dietary Guidelines-2010 were employed to quantify diet. American Heart Association (AHA) guidelines were employed for the analysis of exercise.Results. A total of 1,190 healthcare professionals formed the final sample with doctors and nurses forming the major proportion. Out of 1,190 participants only one healthcare professional was found to eat according to USDA Dietary Guidelines; others ate more of protein group and less of fruits, dairy and vegetable groups. 76% did not perform any exercise. 71.5% worked >48 h/week. More than 50% of healthcare professionals were sleeping <7 h/day. WEMWBS score of the entire sample was 47.97 ± 9.53 S.D.Conclusion. Our findings suggest that healthcare professionals do not practice what they preach. Their mental wellbeing, diet and exercise habits are not up to the mark and should be improved to foster the whole healthcare system for individual and community benefits.
ObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.
This challenging environment leads to serious consequences including burn-out syndrome (Dyrbye et al., 2008; Popa-Velea et al., 2017a), alexithymia, psychological distress (Popa-
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