哈萨克斯坦循环系统疾病的经济和医疗影响:一项回顾性生态研究。

IF 2.4 3区 医学 Q3 ENVIRONMENTAL SCIENCES
Olzhas Zhamantayev, Nurlan Smagulov, Gulmira Tykezhanova, Maira Kenzhekeyeva, Gulden Karshalova
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引用次数: 0

摘要

背景:健康是实现联合国可持续发展目标的关键因素。本研究探讨了哈萨克斯坦的经济指标、人口指标和卫生系统因素与循环系统疾病等非传染性疾病发病率之间的关系:这项回顾性生态研究利用了哈萨克斯坦所有 14 个地区 2010 年至 2020 年的地区汇总数据。循环系统疾病(DCS)发病率以及社会经济、人口和医疗保健变量的数据来自国家统计局和卫生部。变量包括人均地区生产总值、人口密度、生活工资、失业率、平均月薪、基尼系数、低于生活水平的收入、人均住房面积、医疗保健行业平均月薪、每万人医生和护士密度以及医院床位数。先进行相关分析,再进行逐步回归,以确定重要的预测因素:分析发现,较高的生活工资(β = 0.7)、人口密度(β = 0.275)、护士密度(β = 0.212)和平均月薪(β = 0.502)与较高的 DCS 发病率呈正相关。相反,人均地区生产总值(β = -0.68)、人均住房面积(β = -0.441)和低于生活水平的收入(β = -0.161)与 DCS 发病率呈负相关。该模型解释了约63.7%的DCS发病率变异:结论:社会经济和医疗保健因素对哈萨克斯坦循环系统疾病的发病率有重大影响。旨在改善经济条件(如提高生活工资和减少失业)的政策可能有助于降低 DCS 发病率。此外,护士等医疗保健资源的公平分配可加强循环系统疾病的早期发现和管理,有助于在中等收入国家环境中取得更好的公共卫生成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic and healthcare influences on circulatory diseases in Kazakhstan: a retrospective ecological study.

Background: Health is a key driver of the United Nations Sustainable Development Goals. This study examined the relationships between economic indicators, demographic metrics, and health system factors and morbidity due to non-communicable diseases, such as diseases of the circulatory system, in Kazakhstan.

Methods: This retrospective ecological study utilized regionally aggregated data from 2010 to 2020 for all 14 regions in Kazakhstan. Data on incidence rates of diseases of the circulatory system (DCS) and socioeconomic, demographic, and healthcare variables were sourced from the Bureau of National Statistics and the Ministry of Health. Variables included gross regional product per capita, population density, living wage, unemployment rates, average monthly salary, Gini coefficient, income below subsistence level, housing space per capita, average monthly wage in healthcare, doctor and nurse densities per 10,000 population, and number of hospital beds. A correlation analysis was performed followed by stepwise regression to identify significant predictors.

Results: The analysis identified that higher living wages (β = 0.7), population density (β = 0.275), nurse density (β = 0.212), and average monthly salary (β = 0.502) were positively associated with higher DCS incidence rates. Conversely, gross regional product per capita (β = -0.68), housing space per capita (β = -0.441), and income below the subsistence level (β = -0.161) were negatively associated with DCS incidence. The model explained approximately 63.7% of variance in DCS incidence.

Conclusions: Socioeconomic and healthcare factors significantly influence the incidence of circulatory diseases in Kazakhstan. Policies aimed at improving economic conditions such as increasing living wages and reducing unemployment may help lower DCS morbidity. Additionally, equitable distribution of healthcare resources like nurses could enhance early detection and management of circulatory diseases, contributing to better public health outcomes in a middle-income country setting.

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来源期刊
Journal of Health, Population, and Nutrition
Journal of Health, Population, and Nutrition 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
0.00%
发文量
49
审稿时长
6 months
期刊介绍: Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.
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