Related Experiment Video
Updated: Nov 23, 2025

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Disability prevalence in midlife (aged 55-65 years): Cross-Country comparisons of gender differences and time trends
Serena Wang1, Drystan Phillips2, Jinkook Lee3,4,5
1Krieger School of Arts and Sciences, Johns Hopkins University, MD, Baltimore, USA.
Background:
Prior literature on disability has centered on disability prevalence among older adults ages 65 and older, providing only limited insight to potential gender differences in disability prevalence in mid-life. Midlife is, however, a critical time to be examined, as it is typically the time in the life course when large inequalities in physical health first emerge.
Methods:
Using the Harmonized data files provided by the Gateway to Global Aging Data, we estimate disability prevalence of nationally representative adults ages 55-65 from 23 countries (N = 79,465). We examine gender differences in two disability indicators, limitations in instrumental activities of daily living (IADLs) and activities of daily living (ADLs) in two time periods, 2004/05 and 2014/15.
Results:
There are substantial cross-country variations in IADL and ADL disability prevalence in midlife. Within countries, we find that women have higher IADL prevalence than men in only one out of five countries. Similarly, for ADL prevalence, women have higher ADL prevalence than men in only one out of ten countries. Further, comparing disability prevalence in two time periods, we observe different country-specific time trends.
Conclusions:
In the majority of mid and high-income countries, there is no significant gender difference in IADL and ADL prevalence, but there are few countries where women show higher prevalence of disability than men in mid-life. This finding calls for future research into what contributes to cross-country variations.
Related Concept Videos
Longitudinal Research
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Cognitive Development During Adulthood
Cross-Sectional Research
Applications of Life Tables
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...

