The factors impacting life expectancy (LE) are important to a country as LE reflects the essential quality of its population. Previous studies showed that other than economic factors, health status and resources (HSR) and sociodemographic (SD) also affect LE. This area has not been previously studied in Bahrain, especially in the past five decades. Hence, this study aims to develop an explanatory model for HSR, macroeconomic (ME), and SD factors on LE in Bahrain. The research was a retrospective, time-series design that collected the annual published data on SD, ME, HSR, and LE in Bahrain's population from 1971 to 2020. The data were analyzed using the partial least squares-structural equation modeling (PLS-SEM) method. The result shows that ME (0.463, P < .001) and HSR (0.595, P < .001) have significant direct effects on LE. ME has an indirect effect (0.488, P < .001) on LE via SD and HSR, and SD has an indirect effect (0.496, P < .001) on LE through HSR. During the socioeconomic downturn, the health resources provision should not be reduced as it directly affects LE. An integrated policy addressing socioeconomic and health-related factors could protect the future of Bahrain's population health outcomes.

Objective This review was aimed at systematically synthesizing and appraising the existing literature of sociodemographic, macroeconomic, and health resources factors on life expectancy. Methods A systematic literature search of English databases, that is, PubMed/MEDLINE were scrutinized for exploring sociodemographic, macroeconomic, and health resources factors on life expectancy. The literature search was conducted in January 2020, covering a total of 46 articles from 2004 to 2019 met the review criteria, which were fully discussed subsequently. Findings Among sociodemographic factors, infant mortality rate, literacy rate, education level, socioeconomic status, population growth, and gender inequality have a significant impact on life expectancy. Gross domestic product, Gini, income level, unemployment rate, and inflation rate are the main macroeconomic factors that significantly correlated with life expectancy. Among various health care resources, health care facilities, the number of the health care profession, public health expenditure, death rates, smoking rate, pollution, and vaccinations had a significant correlation with life expectancy. Conclusions The systematic review showed general conformity of different studies, with a significant association between life expectancy and factors comprising several sociodemographic, macroeconomic, and various health care variables. This review found that only one study examined factors affecting life expectancy in Arabic countries. More studies on this region to fill this research gap were highly recommended.

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.

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Despite marked advancements, life expectancy (LE) growth in Saudi Arabia and the United Arab Emirates (UAE) has remained stagnant compared to other developed nations. This study aims to investigate the significant correlation between macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) factors and LE to formulate an explanatory model for Saudi Arabia and the UAE—a previously unexplored area. Utilizing an ecological, retrospective, time-series study design, we delved into secondary data on SD, ME, and HSR factors and LE of the populations of the UAE and Saudi Arabia spanning three decades (1980–2020). We employed partial least squares–structural equation modeling for statistical analysis. Our analysis revealed significant direct impacts of HSR factors on LE for Saudi Arabia (β = 0.958, p < 0.001) and the UAE (β = 0.716, p < 0.001). Furthermore, we discerned a notable indirect influence of ME factors on LE, mediated through SD and HSR factors for Saudi Arabia (β = 0.507, p < 0.001) and the UAE (β = 0.509, p < 0.001), along with a considerable indirect effect of SD factors on LE through HSR (Saudi: β = 0.529, p < 0.001; UAE: β = 0.711, p < 0.001). This study underscores the mediating role of a nexus of ME–SD–HSR factors on LE in Saudi Arabia and the UAE. Consequently, these findings signal an imperative need for holistic policy interventions addressing ME, SD, and HSR factors, aiming to alter health behaviors and improve LE projections for Saudi Arabia and the UAE in the long run.