The aim of this study is to determine the effects of chronic diseases and socio-demographic factors on sickness absenteeism. Three models are to established to determine the degree of influence of chronic disease and socio-demographic variables on absenteeism. Binary Logit Regression analysis is used for the analysis of the models. Micro data set of “Turkish Statistical Institute” Health Survey in 2016 is used. Coronary chronic heart disease, stroke, back diseases, neck diseases, allergy, liver failure, kidney disease and depression were determined positively affecting absenteeism. According to the results of the study, chronic diseases and socio-demographic variables are found to be effective in sickness absenteeism.
Bu çalışmanın amacı kronik hastalıkların ve sosyo-demografik faktörlerin işe devamsızlık üzerindeki etkilerini belirlemektir. Kronik hastalığa ait verilerin ve sosyo-demografik değişkenlerin devamsızlığı etkileme derecesini tespit etmek için üç model kurulmuştur. Modellerin analizinde Binary Logit Regresyon analizi kullanılmıştır. Analizde kullanılan değişkenler 2016 yılına ait “TÜİK Sağlık Araştırması” mikro veri setinden elde edilmiştir. Kişide kroner kalp hastalığının varlığı, inme-felç hastalığı, bel ve boyun bölgesi problemleri, alerji ve böbrek hastalığı işe devamsızlığı arttırdığı belirlenmiştir (p<0,05). Araştırma sonuçlarına göre kronik hastalıkların ve sosyo-demografik değişkenlerin hastalık devamsızlığında etkili olduğu belirlenmiştir.
The aim of this study is to determine the effects of chronic diseases and socio-demographic factors on sickness absenteeism. Three models are to established to determine the degree of influence of chronic disease and socio-demographic variables on absenteeism. Binary Logit Regression analysis is used for the analysis of the models. Micro data set of “Turkish Statistical Institute” Health Survey in 2016 is used. Coronary chronic heart disease, stroke, back diseases, neck diseases, allergy, liver failure, kidney disease and depression were determined positively affecting absenteeism. (p <0.05). According to the results of the study, chronic diseases and socio-demographic variables are found to be effective in sickness absenteeism.
Primary Language | English |
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Subjects | Economics |
Journal Section | Articles |
Authors | |
Publication Date | June 29, 2020 |
Submission Date | March 25, 2020 |
Acceptance Date | May 13, 2020 |
Published in Issue | Year 2020 Volume: 35 Issue: 2 |