Muhammad Syukri
Prodi Ilmu Kesehatan Masyarakat, Fakultas Kedokteran dan Ilmu Kesehatan, Universitas Jambi

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FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN ASMA DI WILAYAH PERKOTAAN DAN PEDESAAN INDONESIA: ANALISIS DATA SURVEI KESEHATAN INDONESIA (SKI) 2023 Monica Evi Fania Girsang; Muhammad Syukri; Rd Halim; Adelina Fitri; Herman Herman
Jurnal Penelitian Kesmasy Vol. 8 No. 2 (2026): JURNAL PENELITIAN KESMASY
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Deli Husada Delitua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36656/jpksy.v8i2.2925

Abstract

Asthma is a chronic respiratory disease characterized by shortness of breath due to inflammation and narrowing of the airways. Differences in prevalence between urban and rural areas indicate differences in risk factors influenced by geographic, environmental, and social contexts. This study aims to analyze factors associated with asthma incidence in the population aged ≥15 years in Indonesia based on differences in residential areas (urban and rural). This study is a secondary data analysis using the Indonesian Health Survey (SKI). The sample of this study was 638,178 respondents aged ≥15 years. Data analysis consisted of univariate descriptive statistics, bivariate and multivariate logistic regression to identify independent predictors. The prevalence of asthma was 1.8%, with a higher proportion in urban areas (2.1%) than in rural areas (1.5%). In multivariate analysis, Factors related to the occurrence of asthma in urban areas are age (POR=1,15; 95%CI: 1,05–1,26), gender (POR=1,36; 95% CI: 1,26-1,48), obesity (POR=1,27; 95%CI: 1,16–1,40), central obesity (POR=1,34; 95% CI: 1,23-1,45), ISPA (POR = 4,15; 95% CI: 3,48–4,94), TB (POR = 3,55; 95% CI: 2,35–5,35) And in rural areas is age (POR=1,42; 95%CI: 1,24–1,63), central obesity(POR=1,37; 95% CI: 1,23–1,53), physical activity (POR = 1,37; 95% CI: 1,23–1,53), ISPA (POR = 4,06; 95%CI: 3,17–5,20), TB (POR = 6,78; 95% CI: 4,62–9,97).The dominant factor in urban areas is a history of acute respiratory infections (ARI) (p-value= 0.000; AdjPOR=3.95; 95%CI 3.30-4.71), while in rural areas is a history of tuberculosis (TB) (p-value= AdjPOR=4.81; 95%CI 2.18-7.27). Conclusion: There are differences in the dominant determinants of asthma incidence between urban and rural areas in Indonesia. A history of ARI is the main factor in urban areas, while a history of tuberculosis is more influential in rural areas. These findings emphasize the importance of an asthma control policy approach that is based on geographic context and integrated with respiratory tract infection control programs.
ANALISIS AUTOKORELASI SPASIAL KONSUMSI ALKOHOL PADA 514 KABUPATEN/KOTA DI INDONESIA Muhammad Syukri
Jurnal Penelitian Kesmasy Vol. 8 No. 2 (2026): JURNAL PENELITIAN KESMASY
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Deli Husada Delitua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36656/jpksy.v8i2.2929

Abstract

Alcohol consumption poses a public health challenge because it can lead to various health problems. Although the prevalence of alcohol consumption in Indonesia is relatively lower compared to other countries, data from the 2023 Indonesian Health Survey (Survei Kesehatan Indonesia/SKI) indicate considerable regional variation in consumption rates. This study aims to analyze the spatial distribution patterns of alcohol consumption prevalence across 514 districts/cities in Indonesia in 2023. The study employed a quantitative approach with an ecological study design using secondary data obtained from the 2023 Indonesian Health Survey (SKI). The unit of analysis included all 514 districts/cities. Univariate Global and Local Moran’s Index using Geoda was employed to identity the hotspots and cold spots of alcohol consumption at city and district level. The results revealed significant positive spatial autocorrelation of alcohol consumption in most of Indonesia regions, particularly in Sumatra (p value=0.001, Moran’s Index=0.513), Java (p value=0.005, Moran’s Index=0.205), Kalimantan (p value=0.001, Moran’s Index=0.452), Bali and Nusa Tenggara (p value=0.001, Moran’s Index=0.795), and Sulawesi (p value=0.001, Moran’s Index=0.493). Hotspots of alcohol consumption prevalence were primarily identified in East Nusa Tenggara, North Sulawesi, and several districts in Kalimantan and Sumatra. In conclusion, alcohol consumption in Indonesia forms distinct regional clusters, highlighting the need for more effective area-based interventions.