Which Socio-Demographic Indicators Influence the Health Rating? Example of EHIS on Czech Data

Jana Vrabcová (), Markéta Majerová (), Tomáš Fiala () and Jitka Langhamrová ()
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Jana Vrabcová: Prague University of Economics and Business, Department of Demography
Markéta Majerová: Prague University of Economics and Business, Department of Demography
Tomáš Fiala: Prague University of Economics and Business, Department of Demography
Jitka Langhamrová: Prague University of Economics and Business, Department of Demography

Chapter Chapter 5 in Quantitative Methods and Data Analysis in Applied Demography - Volume 1, 2025, pp 49-61 from Springer

Abstract: Abstract In most developed countries of the world, the population lives at an older age. With increasing age, there is a greater probability of a certain health restriction, and the proportion and number of people with health restrictions, and disabilities increases. At the level of society, disability increases the demand for formal and informal care. The health prevalence model is designed on individual anonymized data from the European health interview survey (EHIS) in 2008, 2014, and 2019 and enters selected socio-demographic indicators for the Czech Republic. The paper is examined and described mutual relations among the indicators of the Minimum European health module (MEHM): self-perceived health, chronic / long-term morbidity, and activity limitations (Global Activity Limiting Indicator). Within binary logistic regression, the influence of gender, age groups, marital status, education, presence of long-term illness, and long-term limitation of activities on self-rated health has been examined. A statistically significant influence on self-rated health has been demonstrated in age groups, education, long-term illnesses, and long-term limitation of activities. As part of the sensitivity analysis, the assignment of the middle category (fair) of self-rated health is chosen for poor assessment of your health (bad, very bad).

Keywords: Self-rated health; Chronic disease; Global Activity Limitation Indicator; Binary logistic regression (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-82275-9_5

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