Pius Weraman
Study Program in Public Health, Universitas Nusa Cendana, Indonesia

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Spatial Analysis of Determinants of Hypertension Incidence in Kota Lama Subdistrict, Kupang, Indonesia Dominggus Agustinus Isak Lenda; Pius Weraman; Yendris Krisno Syamruth; Apris A Adu; Anderias Umbu Roga
Journal of Epidemiology and Public Health Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2025.10.02.07

Abstract

Background: Cardiovascular diseases such as hypertension, heart attack, and stroke are chronic non-communicable diseases influenced by genetic, physiological, environmental, and behavioral factors. Geographic Information Systems (GIS) can be utilized for spatial analysis to identify risk factors, distribution patterns, and determinants of diseases, including hypertension. This study aims to examine the determinants of hypertension using a spatial analysis approach in Kota Lama Subdistrict, Kupang City.Subjects and Method: This study employed an ecological study design using an observational analytic method with a cross-sectional approach. The population consisted of residents aged ≥18 years in Kota Lama Subdistrict. A total of 400 individuals diagnosed with hypertension were selected using simple random sampling. The variables examined were age, overweight, lack of physical activity, high-salt diet, alcohol consumption, medication adherence, economic level, and distance to health facilities. Instruments used included a sphygmomanometer, microtoise, weight scale, and questionnaire. Spatial analysis was conducted using the GeoDa application with Regression, Bivariate Local Moran’s Index, Multivariate Local Geary, and Spatial Empirical Bayes tests.Results: The results showed significant associations and clustered spatial autocorrelation with low-to-high relative risk (RR) observed in the subdistricts of LLBK, Bonipoi, Solor, Fatubesi, Oeba, Nefonaek, and Pasir Panjang for the variables: age (p=0.001, I=0.70), overweight (p<0.001, I=0.64), lack of physical activity (p=0.00, I=0.63), high-salt diet (p=0.00, I=0.63), and alcohol consumption (p<0.001, I=0.69). There were no significant associations for variables such as irregular medication intake, economic level, and distance to health facilities, with p-values of 1.000 > α (0.050).Conclusion: Age, overweight, physical inactivity, high-salt diet, and alcohol consumption are significant determinants and show positive clustered spatial autocorrelation with hypertension. It is recommended that individuals over 40 years of age regularly monitor their blood pressure, maintain a healthy diet, engage in sufficient physical activity, and for those with hypertension, adhere to regular medication intake.
Factors Associated with Pregnant Women's Compliance with Fit-to-Fly Recommendations at El Tari Airport in 2024 Indri Wahyuningsih Misnadin; Yendris Krisno Syamruth; Imelda Februati Ester Manurung; Pius Weraman; Christina Rony Nayoan
Journal of Epidemiology and Public Health Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2025.10.02.10

Abstract

Background: Fit-to-fly recommendations for pregnant women are regulated in Indonesia’s civil aviation guidelines. Noncompliance may pose health risks for both mother and fetus during air travel. This study aimed to identify factors associated with pregnant women’s compliance with fit-to-fly recommendations at El Tari Airport in 2024.Subjects and Method: A cross-sectional study was conducted from January to March 2024 at El Tari Airport, Kupang. A total of 130 pregnant passengers who applied for fit-to-fly letters at the BKK Class I Airport Health Post were selected using simple random sampling. The dependent variable was compliance with fit-to-fly recommendations. Independent variables included maternal age, gestational age, parity, education level, travel reasons, document completeness, exposure to information, family support, and maternal knowledge. Data were collected using a structured questionnaire and analyzed using univariate, bivariate, and multivariate methods with multiple logistic regression.Results: Gestational age (OR=6.79; 95%CI: 2.06–22.41; p=0.002), parity (OR=8.00; 95%CI: 2.61–22.54; p<0.001), education level (OR=5.49; 95%CI: 1.47–20.41; p=0.011), and maternal knowledge (OR=6.75; 95%CI: 2.13–21.34; p=0.001) were significantly associated with compliance. Other factors such as exposure to information, maternal age, document completeness, travel reasons, and family support showed no statistically significant association..Conclusion: Gestational age, parity, education level, and maternal knowledge were significant determinants of compliance with fit-to-fly recommendations among pregnant women. These findings highlight the importance of targeted health education and screening prior to air travel during pregnancy.