Correlates of Poor Self-Assessed Health Status among Socially Disadvantaged Populations in Poland

• Main Authors: Joanna Jurewicz, Dorota Kaleta
• Format: Article
• Language: English
• Published: MDPI AG 2020-02-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: self-rated health; sociodemographic correlates; lifestyle factors; health conditions
• Online Access: https://www.mdpi.com/1660-4601/17/4/1372

Self-assessment of health is recommended as valuable source of information about subjective health status. The present study was performed to evaluate the correlates of self-rated health status among beneficiaries of social care in Poland. This assessment could be crucial for the implementation of targeted preventive measures among this valuable population. The study population consisted of 1710 beneficiaries of social care from the Piotrkowski District. The relationship between self-rated health status and its correlates (sociodemographic, lifestyle factors, and health conditions) was examined using logistic regression, with a poor health rating as the outcome. Overall, 11% of respondents declared poor self-assessed health status. Men more often rated health status as poor (15%) as compared to women (8.5%) (<i>p</i> &lt; 0.001). The odds of a poor assessment of health increased with age, being unemployed or disabled/retired (OR = 2.34 95%CI (1.34&#8722;4.19) or OR = 9.07 95%CI (3.68&#8722;22.37), respectively), and additionally with poor life satisfaction (OR = 5.14 95% CI (1.94&#8722;13.64)). Regarding lifestyle characteristics, only binge drinking was associated with poor health status assessment (OR = 12.62 95%CI (3.71&#8722;42.87)). In addition, having any illness or health problems decreased health status (OR = 4.26 95%CI (1.36&#8722;13.31)). Socially-disadvantaged populations, especially men who poorly rated their health status, still constituted a large percentage of the population, which is an important public health problem. Increasing knowledge about the correlates of health status will allow greater prevention strategies to be developed for the population.