Untari, Niken Yuliani
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Meta Analysis: The Effect of Social Support in Preventing Postpartum Depression in Postpartum Mothers Nugrahaeni, Meita Tyas; Untari, Niken Yuliani; Veibiani, Nindita Arum
Journal of Epidemiology and Public Health Vol. 7 No. 1 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2022.07.01.07

Abstract

Background: Depression is one of the contributors to the disease that is the focus of public health in the world. The most common depression is postpartum depression. The postpartum period is a period of adaptation between mother and baby to optimize bonding attachment, so they need physical, emotional, and mental support from partners, families, and socially. This study was aimed to estimate the magnitude of the incidence of postpartum depression in postpartum mothers with the influence of social and family support, with a meta-analysis of the main study conducted by previous authors. Subjects and Method: This was a systematic review and meta-analysis with PICO, population: postpartum mothers. Intervention: strong social support. Comparison: weak social support. Outcome: postpartum depression. The articles used were obtained from several databases, namely Google Scholar, Pubmed, SpingerLink and Science Direct. Search keywords for articles were “Postnatal Depression” OR “Postpartum Depression” AND “Family Support” OR “Social Support” AND “Postpartum Mother”. The inclusion criteria for research articles were full-text articles using a cross-sectional observational study design, postpartum mothers who received intervention in the form of family and social support, the results of the study were postpartum/postnatal depression, multivariate analysis with Adjusted Odds Ratio (aOR) to measure estimates effect. Data were analyzed using the Review Manager application (RevMan 5.3). Results: A total of 10 cross-sectional articles were selected for a systematic review and meta-analysis with 8,930 postpartum mothers from Asia and Africa. Mothers giving birth without social support can contribute to the worsening of the postpartum mother's condition to cause postpartum depression (OR= 3.12; 95%CI 1.95 to 4.99; p= 0.009). Conclusion: Social support can increase the prevention of postpartum depression in postpartum mothers. Keywords: social support, postpartum mother, postpartum depression, postnatal depression Correspondence: Meita Tyas Nugrahaeni. Faculty of Public Health, Universitas Airlangga. Jl. Dr. Ir. H. Soekarno, Mulyorejo, Kota Surabaya 60115, East Java, Indonesia. Email: meitatyas04@gmail.com. Mobile: 085974825459.
Meta Analysis the Effectiveness of Mobile-Based Stress Management Application on Stress and Depression among Workers Untari, Niken Yuliani; Tamtomo, Didik; Prasetya, Hanung
Journal of Health Policy and Management Vol. 8 No. 2 (2023)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The application of stress management at this time really needs a smartphone application to prevent the occurrence of severe mental disorders, reduce stress levels and use this application more effectively. The purpose of this study is to conduct a meta-analysis with the aim of studying and estimating the effectiveness of mobile-based stress management applications on stress and depression in workers.Subjects and Method: This study is a meta-analysis using PICO, Population: Workers, Intervention: Using a mobile-based stress management application, Comparison: Not using a mobile-based stress management application, Output: Stress and Depression. The process of searching for articles between 2012-2022 uses 5 databases: PubMed, Google Scholar, ProQuest, Science Direct and Scopus. The keywords used are “stress” OR “depression” AND “apps” OR “digital health” OR “mobile health” OR “message text” OR “phone calls” OR “website” OR “email” AND “employee” OR “ worker”. Inclusion criteria: article must be a full paper with Randomized Controlled Trial (RCT), article using English, population namely workers, mobile-based stress management application intervention, reported results are stress, depression, include research results number of respondents, average -mean score and standard deviation (SD). Articles that met the requirements were analyzed using the RevMan 5.3 application. Results: There were 14 articles with a Randomized Controlled Trial (RCT) research design originating from Germany, Spain, Switzerland, England, America, Thailand, Taiwan, Korea, Vietnam which were carried out by meta-analysis. The size of the stress sample is 4,865 workers. The meta-analysis shows that workers who use the mobile-based stress management application have 1.08 units lower stress than do not use the mobile-based stress management application, and it is statistically significant (SMD = -1.08; 95% CI = -1.70 to -0.45; p= 0.007). The sample size for depression is 3,983 workers. Workers using the mobile-based stress management application had depression 0.47 units lower than those not using the mobile-based stress management application, and it was statistically significant (SMD = -0.47; 95% CI = -0.85 to -0.10; p = 0.01).Conclusion: Mobile-based stress management application use reduces stress and depresssion in workers.Keywords: stress, depression, stress-based mobile application, worker, employee, meta analysisCorrespondence:Niken Yuliani Untari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: nikenyuliani1978@gmail.com. Mobile: +6281215810608Journal of Health Policy and Management (2023)https://doi.org/10.26911/thejhpm.2023.08.02.06