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Effects of Marital Status and Social Support on Antenatal Depression: A Meta-Analysis Meita Tyas Nugrahaeni; Hanung Prasetya; Bhisma Murti
Journal of Health Promotion and Behavior Vol. 8 No. 2 (2023)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2023.08.02.05

Abstract

Background: Pregnancy is a period of increased vulnerability to depression incidence, especially if the pregnancy is accompanied by additional demands. Antenatal depression is depression that occurs during pregnancy characterized by certain symptoms, namely anxiety, distress, confusion, and excessive fear. The study aims to estimate the effect size of marital status and social support on the incidence of antenatal depression in pregnant women. Subjects and Method: The study used systematic review and meta-analysis with PICO, Popula­tion: pregnant women; Intervention: marital status and strong social support; Comparison: unmarried marital status and weak social support. Outcome: antenatal depression. The articles used were obtained from several databases namely Google Scholar, Pubmed, SpringerLink, and Science Direct. The article search keywords were "Antenatal Depression" AND "Marital Status" AND "Social Support" AND "Pregnant Women". The inclusion criteria for the articles were full-text articles in English using cross-sectional observational study design, published between 2012 and 2022, the study subject was pregnant women, and the size of the association was presented in adjusted Odds ratio (aOR). The data were analyzed using Review Manager app (RevMan 5.3). Results: A total of 17 cross-sectional articles originated from Asia and Africa including Qatar, Thailand, China, Ethiopia, Tanzania, Nigeria, and Rwanda for systematic review and meta-analysis with a total population of 8,723 pregnant women. Pregnant women with unmarried marital status could contribute to the worsening condition of pregnant women that generated antenatal dep­res­sion (aOR= 2.76; 95% CI= 1.75 to 4.36; p< 0.0001).  Meanwhile, pregnant women with weak social sup­port could contribute to the worsening of the condition of pregnant women that generated antenatal depression (aOR= 2.22; 95% CI= 1.42 to 3.46; p= 0.005). Conclusion: Marital status and social support can improve the prevention of antenatal dep­res­sion in pregnant women. Keywords: marital status, social support, pregnant women, antenatal depression. Correspondence: Meita Tyas Nugrahaeni. Master’s Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: meitatyas04@gmail.com. Mobile: +628­597­4825459.
Analisis Spasial: Prevalensi Hipertensi Dengan PHBS dan Jumlah Posbindu Kabupaten Tasikmalaya Tahun 2023 Dadan Yogaswara; Yuni Laferani; Irfan Nafis Sjamsuddin; Wulan Tri Yutanti; Kharisma Nurul Fazrianti Rusman; Meita Tyas Nugrahaeni
KOLONI Vol. 5 No. 2 (2026): JUNI 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i2.993

Abstract

The increasing prevalence of hypertension has become a major health problem, both globally, regionally, and nationally. In Indonesia, according to the 2023 Indonesian Health Survey (SKI), the prevalence of hypertension was recorded at 30.8%, and in West Java at 34.4%. According to the 2023 health profile data from Tasikmalaya Regency, 76.8% of hypertension sufferers received healthcare services. Understanding the detrimental patterns of hypertension requires government and community efforts to implement early prevention. Data on hypertension incidence can be mapped using a Geographical Information System (GIS). This study aims to examine spatial effects in Tasikmalaya Regency, West Java. This study uses ecological study used aggregate data. The data source was the 2023 health profile of Tasikmalaya Regency. All sub-districts were used as units of analysis. Data analysis was performed using the GeoDa application. Results Shows a negative spatial autocorrelation between hypertension and the number of Posbindu (Moran's I: -0.817; p-value: 0.01) and Healthy Lifestyle Behavior (Moran's I: -0.152; p-value: 0.04). Conclusion: This study demonstrates a negative spatial autocorrelation between hypertension and Healthy Lifestyle Behavior and the number of Posbindu (Integrated Health Posts). Interventions to improve Healthy Lifestyle Behavior and equalize the number of Posbindu are needed, particularly in areas with high hypertension cases that are adjacent to areas with low Healthy Lifestyle Behavior.