| dc.description.abstract | Hypertension remains a major public health challenge globally,
with coastal communities facing unique vulnerabilities due to
limited health infrastructure, low health literacy, and socioeconomic constraints. This study aims to develop a communitybased epidemiological management model for hypertension in
coastal areas by analyzing the structural relationships among
sociodemographic factors, risk behaviors, hypertension history, and
healthcare access. Using a cross-sectional design, data were
collected from 128 coastal residents in Puger Subdistrict, Jember,
Indonesia. The study applied Partial Least Squares–Structural
Equation Modeling (PLS-SEM) to explore causal pathways. The
findings reveal that gender and education significantly influence
risk behaviors, which in turn affect blood pressure grades and
hypertension management. Despite a high prevalence of
uncontrolled blood pressure, awareness and health-seeking
behavior remain low. The structural model highlights the
importance of behaviorally focused interventions targeting highrisk groups, particularly males and individuals with low education
levels. The study underscores the need for community-based
strategies that integrate risk-based management, health education,
and culturally sensitive follow-up systems. This model offers a
practical and contextual approach to strengthening hypertension
control in underserved coastal populations. | en_US |
