Multivariate decomposition analysis of sex differences in functional difficulty among older adults based on
Shobhit Srivastava1, T Muhammad2, Ronak Paul1
1International Institute for Population Sciences, Mumbai, Maharashtra, India.
Objectives:
This study investigates the gender disparities in difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL) and explores its contributing factors among older adults in India.
Design:
A cross-sectional study was conducted using country representative survey data.
Setting And Participants:
The present study uses the data from the Longitudinal Ageing Study in India, 2017-2018. Participants included 15 098 male and 16 366 female older adults aged 60 years and above in India.
Primary And Secondary Outcome Measures:
Difficulty in ADL and IADL were the outcome variables. Descriptive statistics and bivariate analysis were carried out to present the preliminary results. Multivariate decomposition analysis was used to identify the contributions of covariates that explain the group differences to average predictions.
Results:
There was a significant gender differential in difficulty in ADL (difference: 4.6%; p value<0.001) and IADL (difference: 17.3%; p value<0.001). The multivariate analysis also shows significant gender inequality in difficulty in ADL (coefficient: 0.046; p value<0.001) and IADL (coefficient: 0.051; p value<0.001). The majority of the gender gap in difficulty in ADL was accounted by the male-female difference in levels of work status (18%), formal education (15% contribution), marital status (13%), physical activity (9%), health status (8%) and chronic morbidity prevalence (5%), respectively. Equivalently, the major contributors to the gender gap in difficulty in IADL were the level of formal education (28% contribution), marital status (10%), alcohol consumption (9%), health status (4% contribution) and chronic morbidity prevalence (2% contribution).
Conclusion:
Due to the rapidly increasing ageing population, early detection and prevention of disability or preservation of daily functioning for older adults and women in particular should be the highest priority for physicians and health decision-makers.
More Related Videos
Related Concept Videos
Longitudinal Studies
Cross-Sectional Research
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...
Longitudinal Research
Comparing the Survival Analysis of Two or More Groups
One-Way ANOVA: Unequal Sample Sizes


