Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Faculty of Medical Sciences, Department of Social Medicine, University of Kragujevac, Serbia, Kragujevac, Serbia.
Front Public Health. 2024 Jul 18;12:1373877. doi: 10.3389/fpubh.2024.1373877. eCollection 2024.
The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia.
The study is part of the Population Health Survey of Serbia, which was conducted in the period from October to December 2019 by the Institute for Public Health of Serbia "Dr. Milan Jovanović Batut" and the Ministry of Health of the Republic of Serbia. The research was conducted on a representative sample of Serbian residents in the form of a cross-sectional study. For the purposes of this research study, data on senior citizens, aged 65 and older, were used.
Multivariate regression analysis of demographic characteristics that showed statistical significance in the univariate model as a whole explains between 4.2% (Cox & Snell R Square) and 5.9% (Nagelkerke R Square) of the variance of unmet health needs and correctly classifies 66.3% cases. Statistically significant demographic predictors were the region where the respondents live, level of education, and material condition. The results of the research show that the most dominant predictors of the unmet health needs of the older adult population are related to socioeconomic inequalities, financial reasons, and predictors related to the inaccessibility of health care.
The results suggest that individual socioeconomic predictors have a great influence on the emergence of unmet health needs of the older adult population in Serbia. Every third older adult resident did not receive the necessary health care, most often due to financial constraints.
本文旨在评估人口统计学和社会经济预测因素与塞尔维亚老年人口未满足的健康需求之间的关系。
本研究是塞尔维亚人口健康调查的一部分，该调查由塞尔维亚“米兰·约万诺维奇·巴图”公共卫生研究所和塞尔维亚共和国卫生部于 2019 年 10 月至 12 月期间进行。该研究采用横断面研究形式，对塞尔维亚居民进行了代表性抽样。为了进行这项研究，使用了年龄在 65 岁及以上的老年人的数据。
对在单变量模型中具有统计学意义的人口统计学特征进行多元回归分析，总体上解释了未满足的健康需求方差的 4.2%（科克斯和斯内尔 R 平方）和 5.9%（奈格尔克 R 平方），并正确分类了 66.3%的病例。具有统计学意义的人口统计学预测因素是受访者居住的地区、教育水平和物质条件。研究结果表明，老年人口未满足的健康需求的最主要预测因素与社会经济不平等、经济原因以及与医疗保健不可及相关的预测因素有关。
结果表明，个体社会经济预测因素对塞尔维亚老年人口未满足的健康需求的出现有很大影响。每三个老年居民都没有得到必要的医疗保健，最常见的原因是经济限制。
