Assessment of the impact of the life quality on human health (on the example of the greater Caucasus province of the Republic of Azerbaijan

Authors

  • T.M. Huseynova

DOI:

https://doi.org/10.31489/2024bmg4/197-204

Keywords:

: life quality, human health, healthcare, environment, Human Development Index.

Abstract

Health occupies an important place among the system of indicators determining the life quality. The issues of ameliorating health indicators, which are the basis of the quality of life of the population, are especially actual for the Greater Caucasus province, which plays an important role in the socio-economic development of the Republic of Azerbaijan, and has a high demographic and labour potential. The primary aim of the research work with practical importance is to study the territorial organisation of healthcare in the Greater Caucasus province, the quality of the environment and their impact on the quality of life. Dissemination indicators of the disease among the population settling in the province were scrutinised based on the statistical materials, and the current state of the contemporary healthcare facilities and how they affect the quality of life were investigated. According to the results of the research, the role of environmental factors in the health of the population populating in the province has been significant in recent years. It was revealed that during the investigated period, the amount of waste from stationary and automobile transport has decreased in the province, and the number of diseases has increased. In addition to this, the relationship of the Human Development Index with the environment and its impact ways on the quality of life were investigated. Analyses indicate that along with other factors, the quality of the environment affects the quality of life of the population. Nominately, the Human Development Index has increased as the amount of waste discharged into the atmosphere has decreased. More precisely, the correlation between them is negative and the coefficient of determination is 0,857 in other words,dependence was determined to be 85%.

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Published

2024-12-30

Issue

Section

Geography