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All Journal International Journal of Public Health Science (IJPHS) Journal of Epidemiology and Public Health
Nugraheni, Aulia Putri
Unknown Affiliation
Health Professions Public Health

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COVID-19 vaccine acceptance in Notoprajan, Yogyakarta, Indonesia: a lesson learned from the pandemic Nugraheni, Aulia Putri; Sulistyawati, Sulistyawati
International Journal of Public Health Science (IJPHS) Vol 12, No 3: September 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i3.22976

Abstract

COVID-19 vaccination began in Indonesia in January 2021, with a minimum target coverage of 70% of the population. The government has delivered four doses of the COVID-19 vaccine, but doses three and four have yet to meet the target. Public acceptance of the COVID-19 vaccination has varied due to the speed of the introduction and implementation of this vaccination. Meanwhile, basic information about the factor’s influencing acceptance has yet to be widely known. This study aimed to determine the relationship between sociodemographics and COVID-19 vaccine acceptance in Notoprajan, Yogyakarta, Indonesia. A cross-sectional study was used for this analytic survey. The population is 4,726 people, and the sample size is 355 people. People between the ages of 17 and 55 were eligible, as were those who had lived in Notoprajan, Ngampilan District, Yogyakarta, for at least three months. The data were analyzed using descriptive and bivariate analysis with a 95% confidence level (α=0.05) using the Chi-square statistical test. Among the six observed variables, namely age, gender, education, occupation, religion, and knowledge level, only sex significantly correlates with COVID-19 vaccine acceptance. This research indicates that to increase COVID-19 vaccination, related parties need to target women directly. This is because men received 1.47 times the COVID-19 vaccination from this study compared to women.
Assessing the Effect of Social Capital on Depression in Adults Nugraheni, Aulia Putri; Murti, Bhisma; Demartoto, Argyo
Journal of Epidemiology and Public Health Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2025.10.05.04

Abstract

Background: Depression is a mental health problem that affects an individual's quality of life. Previous studies have shown that individuals with high social capital are less likely to experience depression. Understanding the dynamics of social capital and its impact on depression is essential for developing interventions and policies that can improve mental well-being at both the individual and community levels. This study aims to analyze the influence of structural, cognitive, and relational social capital on depression in adults.Subjects and Method: This study is a cross-sectional study carried out in Klaten, Central Java in September-October 2024. Population of 726,839 adults and a sample of 200 adults aged 19-59 years were selected using multistage random sampling. The dependent variable was depression. The independent variables were structural social capital, cognitive social capital, and relational social capital. Depression data was measured using Patient Health Questionnaire-9 (PHQ-9) and other data using questionnaires. Data was analyzed using the Structural Equation Model run on STATA 13.Results: Strong social capital lowered adults' risk of depression (b= -0.39; CI 95%= -0.56 to -0.23; p= 0.001). The older you get, the lower the depression score (b= -0.17; CI 95%= -0.31 to -0.03; p= 0.018). The social capital construct in this study is positively and statistically significant by the structural social capital component (b= 0.75; CI 95%= 0.58 to 0.92; p= 0.001), cognitive social capital component (b= 0.56; CI 95%= 0.39 to 0.73; p= 0.001), and the relational social capital component (b= 0.62; CI 95%= 0.48 to 0.76; p= 0.001). The SEM model showed a good fit (Chi-square p= 0.113; RMSEA= 0.070; CFI= 0.98; TLI= 0.93; SRMR= 0.03).Conclusion: Strong social capital and increasing age lower the risk of depression in adults. The social capital construct is positively and statistically significant by the components of structural social capital, cognitive social capital, and relational social capital. This SEM model shows a good fit.
Co-Authors Argyo Demartoto, Argyo Bhisma Murti Sulistyawati Sulistyawati