Abstract

BackgroundHealth-related quality of life (HRQL) in the general population of Kazakhstan has never been characterized. We constructed this population-based study of the largest city in Kazakhstan, Almaty with the aim to quantitatively assess HRQL and ascertain whether occupation and lifestyle are associated with HRQL in this population.MethodsIn a random sample (N = 1500) of general population in Almaty (median age 49 (interquartile range 28) years, 50% women), we collected data on demographics, socioeconomic status, lifestyle, lifetime occupational history and general HRQL using SF-8 instrument. The association of demographic and occupational predictors with HRQL was tested in multiple regression models.ResultsNo occupational associations were found for physical component score in the models adjusted for age, sex, income, cigarette and waterpipe smoking, electronic cigarette use, physical activity, alcohol and exposure to secondhand smoke. Ever being a manager (β − 1.63 (95% confidence interval (CI) − 2.92; − 0.34)), a welder (β − 5.11 (95% CI − 8.77; − 1.46)) and a secretary (β − 5.06 (95% CI − 8.56; − 1.56)) for one year or more was associated with poorer mental component score in the models adjusted for age, sex, income, cigarette smoking, physical activity and each other. Age, income and physical activity were independent predictors of both physical and mental components.ConclusionsOccupational history is associated with HRQL in the general population in Almaty, Kazakhstan, but the mechanism explaining this association should be further elucidated.

Highlights

  • Health-related quality of life (HRQL) in the general population of Kazakhstan has never been characterized

  • Because study participants were randomly selected from the total population register, they did not represent the strata of people with medical conditions or symptoms; instead, they represented the general population of the territory covered by the polyclinic

  • The skewness of Physical component score (PCS) (− 0.505) and Mental component score (MCS) (− 0.652) were considered mild and allowed to used multiple regression models for the analysis. In such analysis we looked for multicollinearity using correlation matrix, but none of tested predictors was excluded because we found no variables with moderate or high correlation with each other

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Summary

Introduction

Health-related quality of life (HRQL) in the general population of Kazakhstan has never been characterized. We constructed this population-based study of the largest city in Kazakhstan, Almaty with the aim to quantitatively assess HRQL and ascertain whether occupation and lifestyle are associated with HRQL in this population. HRQL is believed to reflect an individual’s adaptation to a deficit or suffering from chronic conditions and it is largely explained by the presence and severity of diseases. Because HRQL by definition reflects satisfaction and adaptation to one’s health with given set of chronic or acute diseases, whether it is occupation that deteriorates health and HRQL or, alternatively, people with baseline worse health and HRQL choose selected occupations, remains unclear

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