Related Experiment Video
Updated: Dec 5, 2025

Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
Gender Equality and the Global Gender Gap in Life Expectancy: An Exploratory Analysis of 152 Countries
José Tomás Mateos1,2, José Fernández-Sáez3,4,5, Jorge Marcos-Marcos6
1Department of Nursing and Physiotherapy, University of Lleida, Lleida, Spain.
Abstract:
When looking at life expectancy (LE) by sex, women live longer than men in all countries. Biological factors alone do not explain gender differences in LE, and examining structural differences may help illuminate other explanatory factors. The aim of this research is to analyse the influence of gender inequality on the gender gap in LE globally. We have carried out a regression analysis between the gender gap in relativised LE and the UN Gender Inequality Index (GII), with a sensitivity analysis conducted for its three dimensions, stratified by the six World Health Organization (WHO) regions. We adjusted the model by taking into consideration gross national income (GNI), democratic status and rural population. The results indicated a positive association for the European region (ß=0.184) and the Americas (ß=0.136) in our adjusted model. Conversely, for the African region, the relations between gender equality and the LE gender gap were found to be negative (ß=-0.125). The findings suggest that in the WHO European region and the Americas, greater gender equality leads to a narrowing of the gender LE gap, while it has a contrary relationship in Africa. We suggest that this could be because only higher scores in the GII between men and women show health benefits.
More Related Videos
03:35Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
Published on: December 1, 2023
10:08Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans
Published on: May 18, 2022
Related Concept Videos
Applications of Life Tables
Life Tables
Socioemotional Experience and Gender Development
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
Comparing the Survival Analysis of Two or More Groups
Cancer Survival Analysis