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探索影响阿曼预期寿命的社会人口学、宏观经济和健康因素的结构方程模型。

A structural equation model to explore sociodemographic, macroeconomic, and health factors affecting life expectancy in Oman.

机构信息

Department of Family Medicine and Public Health, Sultan Qaboos University, Al-Khoud, Oman.

出版信息

Pan Afr Med J. 2022 Jan 26;41:75. doi: 10.11604/pamj.2022.41.75.28488. eCollection 2022.

Abstract

INTRODUCTION

the factors determining life expectancy (LE) are crucial for policymakers to study in implementing an effective and accurate intervention in society. In Oman, the available data over the past four decades were not extracted to develop a statistical model to understand how the sociodemographic (SD), macroeconomic (ME), and health-status and resources (HSR) factors affecting LE. The study was aimed at creating a representative model to explain the factors affecting LE in Oman and examine the direct and indirect effects of SD, ME, and HSR in LE in Oman.

METHODS

the research was a retrospective, ecological, time-series study design to collect the annual published data on SD, ME, and HSR in Oman from all available resources from 1978 to 2018. The data were then analyzed with structural equation modeling (SEM) method using IBM® SPSS® Amos 24 for the study of their impacts in LE.

RESULTS

in Oman, using SEM, the SD, ME, and HSR significantly and directly affected LE by the estimate of -0.92 (p < 0.001), -0.15 (p < 0.001), and 0.23 (p < 0.001) respectively.

CONCLUSION

the study was the first attempt to analyze all the different aspects of LE comprehensively in Oman. In the case of Oman, the health resource is an important factor that need to be addressed to increase or to maintain the current LE. Hence, during social hardship or economic recession, health-related support by the government should be continued or even improved because of its positive effect on LE.

摘要

简介

决定预期寿命(LE)的因素对于政策制定者在社会中实施有效和准确的干预至关重要。在阿曼,过去四十年的数据并未被提取出来,以建立一个统计模型来了解影响 LE 的社会人口统计学(SD)、宏观经济(ME)和健康状况和资源(HSR)因素。该研究旨在创建一个有代表性的模型来解释影响阿曼 LE 的因素,并检查 SD、ME 和 HSR 对阿曼 LE 的直接和间接影响。

方法

该研究是一项回顾性、生态、时间序列研究设计,旨在从 1978 年至 2018 年期间从所有可用资源中收集关于阿曼 SD、ME 和 HSR 的年度已发表数据。然后,使用 IBM® SPSS® Amos 24 中的结构方程建模(SEM)方法分析数据,以研究它们对 LE 的影响。

结果

在阿曼,使用 SEM,SD、ME 和 HSR 分别通过估计值-0.92(p < 0.001)、-0.15(p < 0.001)和 0.23(p < 0.001)显著且直接影响 LE。

结论

该研究首次尝试全面分析阿曼 LE 的所有不同方面。在阿曼的情况下,健康资源是一个需要解决的重要因素,以增加或维持当前的 LE。因此,在社会困难或经济衰退期间,政府应继续提供或甚至改善与健康相关的支持,因为这对 LE 有积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a0c/8956838/066fac866a91/PAMJ-41-75-g001.jpg

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