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Published on: February 3, 2023
Health-risk behaviour in Croatia
Mónica Bécue-Bertaut1, Josipa Kern, Maria-Luisa Hernández-Maldonado
1Department of Statistics and Operational Research, Polytechnical University of Catalonia, Barcelona, Spain.
This study identified seven distinct population clusters based on health behaviors and demographics. Tailored health interventions are recommended for these specific groups to improve self-assessed health outcomes.
Area of Science:
- Public Health
- Sociology
- Biostatistics
Background:
- Understanding population health requires identifying distinct groups with shared characteristics.
- Health-risk behaviors and self-assessed health vary significantly across demographic segments.
- Previous research has not fully elucidated homogeneous clusters within the Croatian population regarding health behaviors.
Purpose of the Study:
- To identify homogeneous clusters of individuals based on health-risk behaviors.
- To analyze the sociodemographic characteristics, lifestyle, self-assessed health, and healthcare system usage within these clusters.
- To inform targeted public health prevention and intervention strategies.
Main Methods:
- A sample of patients from 13 Croatian counties and Zagreb was analyzed.
- Statistical methodology, including multiple factor analysis and hybrid clustering, was employed to create seven homogeneous clusters.
- Clusters were differentiated based on statistically significant differences in selected characteristics (P<0.001).
Main Results:
- Seven homogeneous clusters were identified: three male and four female.
- Self-assessed health generally declined with age but varied within age groups.
- Higher education and socio-economic status correlated with better self-assessed health.
- Females reported lower self-assessed health than males, even with healthy lifestyles and preventive care.
- Health-risk behaviors (alcohol, tobacco, diet, physical activity, healthcare non-use) significantly impacted males' self-assessed health.
Conclusions:
- Sociodemographic factors, lifestyle, self-assessed health, and healthcare utilization define distinct population clusters.
- The identified clusters provide a basis for developing targeted health promotion and disease prevention programs.
- Interventions should be tailored to the specific needs and characteristics of each homogeneous population cluster.
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