Abstract:

The aim of this study is to identify the degree of chronic diseases and the number of days unable to work related to the disease by various demographic factors. The 2016 "TÜIK Health Research" data has been established with three models. The Cantil Regression analysis was conducted to determine the degree of data related to thirteen chronic diseases and the number of unemployed days affected by socio-demographic factors. Chronic heart disease, stroke, hepatic insufficiency and depression are found to be among the chronic diseases that affect continuity in each of the three models established under the research framework. In addition to this, the condition of pain to prevent life increases as the period of continuity increases the relationship. While education levels have a reductive effect on continuity in the middle cantil levels, the increase in income levels and age shows increased continuity in the middle and upper cantils. It is clear that the walking variable has a reducing effect on the continuity of the middle-level cantil. It has also been determined that the form of work is part-time and reduces the continuity (p<0,05). According to the results of the study, chronic diseases have been found to increase their indirect costs, along with the direct costs of the disease-related working day losses. The decision makers should prioritize their efforts to prevent heart disease, stroke, depression and hepatic insufficiency, especially in order to reduce employment-related uncertainty. The pain management should be planned in every health institution. Finally, it should be supported that walking reduces the continuity associated with the disease. Resources should be transferred by policy makers to health development programs that support a mobil lifestyle.

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