Affiliation:
1. Research Park of Biotechnology and Eco-Monitoring, Karaganda Buketov University, Karaganda 100028, Kazakhstan
2. School of Public Health, Karaganda Medical University, Karaganda 100000, Kazakhstan
3. Faculty of Biology and Geography, Karaganda Buketov University, Karaganda 100028, Kazakhstan
4. Department of Morphology and Physiology, Karaganda Medical University, Karaganda 100000, Kazakhstan
Abstract
Background: This study addresses the importance of identifying key characteristics influencing demographic indicators for urban populations, emphasizing the need to consider regional climatic features and ecological factors. The research utilized data from ten main regional cities across the Republic of Kazakhstan. Methods: This study involved a retrospective analysis based on secondary data from official sources spanning 2012–2020. We employed correlation analysis and multidimensional regression models. Results: Noteworthy predictors for crude birth rate included the influence of effective temperature (β = 0.842, p < 0.0001), marriage rate (β = 0.780, p < 0.0001), Gini coefficient (β = −27.342, p = 0.020) and divorce rate (β = −2.060, p < 0.0001), with overall strong model performance (R2 = 0.940). The degree of atmospheric pollution (β = −0.949, p = 0.044), effective temperature (β = −0.294, p < 0.0001) and Gini coefficient (β = 19.923, p = 0.015) were the predictors for crude mortality rate, with a high model fit (R2 = 0.796). Conclusions: The study unveils significant relationships between demographic indicators (crude birth rate, mortality rate) and variables like effective temperature, marriage rate, divorce rate, Gini coefficient, physician density and others. This analysis of climatic, environmental, and socioeconomic factors influencing demographic indicators may help in promoting specific measures to address public health issues in Kazakhstan.
Funder
Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan
Reference30 articles.
1. (2023, December 05). World Population Prospects—Population Division—United Nations. Available online: https://population.un.org/wpp/default.aspx?aspxerrorpath=/wpp/Publications%20/Files/WPP2019_Highlights.pdf.
2. Health and climate change: Policy responses to protect public health;Watts;Lancet,2015
3. Two-way effect modifications of air pollution and air temperature on total natural and cardiovascular mortality in eight European urban areas;Chen;Environ. Int.,2018
4. Albalawi, O., Sirohi, A., Rai, P.K., and Alanzi, A.R.A. (2022). Parametric Frailty Analysis in Presence of Collinearity: An Application to Assessment of Infant Mortality. Mathematics, 10.
5. World Health Organization (2016). Ambient air pollution: A global assessment of exposure and burden of disease. Clean Air J., 26, 6.
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