# Gait speed and its associated factors among older black adults in Sub-Saharan Africa: Evidence from the WHO study on Global AGEing in older adults (SAGE)

## TL;DR

This study examines gait speed and its factors among older Black adults in Ghana and South Africa, revealing how age, gender, and health conditions affect walking speed.

## Contribution

The study provides the first detailed analysis of gait speed in older adults from Sub-Saharan Africa using WHO SAGE data.

## Key findings

- Older age is associated with slower gait speed, with odds decreasing by 0.96 per year.
- Females had significantly lower gait speed compared to males.
- Rural residents had higher gait speed than urban residents.

## Abstract

Gait speed is an essential predictor of functional and cognitive decline in older adults. The study aimed to investigate the gait speed of older adults in Ghana and South Africa and to determine its associated factors, as the Sub-Saharan representatives in the World Health Organization’s Study on Global AGEing in Older Adults (SAGE). A secondary analysis of data from the SAGE study which consists of nationally representative data involving participants aged ≥50+ years with smaller samples of younger adults aged 18–49 years in Ghana and South Africa was conducted. SAGE study employed a multistage, stratified clustered sample design and involved the use of a standardised questionnaire to obtain participants’ (n = 5808) demographic, anthropometric and gait speed information. The standard 4 metre-gait speed was used. Median gait speed for the study group, which comprised African/Black participants aged ≥50+ years was 0.769(Q1 = 0.571, Q3 = 0.952)m/s for males and 0.667 (Q1 = 0.500,Q3 = 0.833)m/s for females. For every unit increase in age, the odds of being in a higher-ranked gait speed category was 0.96(95%CI 0·96, 0·97, p<0.001) times that of the previous age. Females had odds of 0.55 (95%CI 0.50, 0.61, p<0.001) of recording higher gait speed, as compared to males. Rural dwellers had odds of 1.43 (95%CI 1.29, 1.58, p < 0.001) of being in a higher-ranked category of gait speed compared to urban dwellers. Underweight (OR = 0.85, 95%C1 = 0.73–1.00, p<0.05) and obesity (OR = 0.53, 95%CI = 0.46–0.61, p<0.001) were associated with slower gait speed. Amongst functional indices, the World Health Organization Disability Assessment Schedule (WHODAS) score was the biggest determinant of gait speed. Having a “Severe/Extreme” WHODAS score had the strongest association with gait speed (OR = 0.18, 95%CI = 0.14–0.23, p<0.001). These gait speed results provide an essential reference for older adults’ care in Ghana and South Africa.