Sari, Ayu Nanda
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Is Longer Working Time Associated with Depression and Mental Well-being in Resident and Young Doctors? Sari, Ayu Nanda; Prasetya, Hanung; Murti, Bhisma
Journal of Health Policy and Management Vol. 9 No. 2 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.02.11

Abstract

Background: Long working hours are known to have a negative impact on health. This study aims to explore the association between long working hours on depression and mental well-being with a nationally representative sample. Subjects and Method: A cross-sectional study was conducted on 176 resident doctors and young doctors in Indonesia via Google Forms from November 2022 to July 2023. Depression and mental well-being were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the World Health Organization's five-item Well-Being Index (WHO-5). The correlation between working hours (< 12 hours and ≥ 12 hours on weekdays) and depression was analyzed using multiple linear regression, while the interrelation between working hours and mental well-being applied multiple logistic regression. Results: A total of 53 (30.11%) resident doctors and junior doctors worked ≥ 12 hours on weekdays. Multiple linear regression analysis revealed that individuals with work duration ≥ 12 hours had a probability of experiencing depression 1.93 units higher than those who worked < 12 hours (b= 1.93; 95% CI= 0.35 to 3.51; p= 0.017). The multiple logistic regression model shows that individuals with work periods of ≥ 12 hours are 2.69 times more at risk of having poor mental well-being than those who work < 12 hours (OR= 2.69; 95% CI= 1.26 to 5.74; p= 0.010). Conclusion: Working too long is significantly associated with the development of depressive symptoms and poor mental well-being. Management of working hours for resident doctors and young doctors is essential for maintaining physical and psychological health in order to improve the quality of care. Keywords: long working hours, depression, mental well-being
The Role of Knowledge, Self-Efficacy, and Social Support in Self-Care Behaviors among Diabetic Patients: A Meta-Analysis Sari, Ayu Nanda; Nawangwulan, Diyah
Journal of Health Promotion and Behavior Vol. 6 No. 3 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: Diabetes mellitus is recognized as one of the emerging public health problems globally, in which the number of cases and prevalence have been steadily increasing over the past few decades. To reduce the burden posed to health systems and afflicted individuals, patients need to adopt self-care practices. At the same time, some studies found knowledge, self-efficacy, and support were essential. Hence, this meta-analysis aimed to assess these predictors of self-care behaviors among diabetic patients.Subjects and Method: This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We conducted a systematic search in electronic databases for observational studies about knowledge, self-efficacy, and family or social support for diabetic self-care behaviors published between 2012 and 2022. The Joanna Briggs Institute’s Critical Appraisal tool was used. For statistical analysis such as I-squared and Begg and Egger’s tests, the Review Manager (RevMan) 5.3 software was employed. Tables and forest plots were presented with 95% confidence intervals (CI). Statistical significance was declared at a p-value < 0.05.Results: Twelve studies with 5,482 participants were included. Good self-care behaviors were significantly associated with adequate diabetic knowledge (AOR= 2.22; 95% CI= 1.24 to 3.98; p= 0.007) and having family or social support (AOR= 2.5; 95% CI= 1.98 to 3.16; p<0.001), whereas poor self-efficacy was a significant predictor of poor self-care behaviors (AOR= 2.46; 95% CI= 1.66 to 3.65; p<0.001).Conclusion: Diabetic knowledge, self-efficacy, and family or social support are essential correlates and predictors of self-care behaviors. Researchers, healthcare professionals, third-sector organizations, and policymakers can use these findings to re-evaluate.Keywords: diabetes, self-care behaviors, knowledge, self-efficacy, social support, meta-analysisCorrespondence:Ayu Nanda Sari. Faculty of Medicine, Universitas Malikussaleh. Jl. H. Meunasah Uteunkot Cunda, Lhokseumawe 24351, Aceh, Indonesia. Email: ayunandasari@student.uns.ac.id. Mobile: +62852­10688872. Journal of Health Promotion and Behavior (2021), 06(03): 250-262DOI: https://doi.org/10.26911/thejhpb.2021.06.03.08