Abstract
Hypertension is a public health issue that is unevenly distributed across regions. The high prevalence in West Java (34.4%) with a large population makes the management of hypertension crucial. Differences in economic and environmental conditions are thought to influence the distribution of hypertension, thus requiring spatial analysis. This study used an ecological approach by analyzing data from districts/cities in West Java in 2023. Secondary data were used to measure hypertension prevalence and to assess socioeconomic and environmental factors. The analysis was conducted using univariate Moran's Index, Local Indicators of Spatial Association (LISA), and the Spatial Autoregressive Model (SAR). The prevalence of hypertension showed a spatially dispersed pattern (Moran's I = -0.225). The SAR results showed significant spatial dependence (ρ = -0.66; p < 0.05). A higher Puskesmas ratio was positively associated with detected hypertension prevalence, likely reflecting greater case detection capacity rather than a causal effect. Meanwhile, low education levels and poverty rate had no significant effect in the multivariate analysis. The prevalence of hypertension in West Java is influenced by regional differences in distribution and the availability of health services. Spatial analysis is important for planning hypertension-control interventions appropriate to regional conditions.
Recommended Citation
Susanti, Meirina Nur Asih and Septiono, Wahyu
(2026)
"Spatial Distribution Patterns of Determinants of Hypertension in West Java in 2023,"
Preventia: The Indonesian Journal of Public Health: Vol. 11:
No.
1, Article 1.
DOI: https://doi.org/10.17977/ um044v11i12026p1-13
Available at:
https://citeus.um.ac.id/preventia/vol11/iss1/1
Included in
Community Health and Preventive Medicine Commons, Epidemiology Commons, Other Public Health Commons
