A recent study validates the use of smartphone-based gait assessment as a promising tool for detecting cognitive impairment in adults aged 60-85 in sub-Saharan Africa. Conducted with 60 participants at a memory clinic, the research stratified individuals into categories of Subjective Cognitive Decline (SCD), Mild Cognitive Impairment (MCI), and Dementia. The assessment utilized rhythmic auditory cueing (RAC) with familiar music, offering a culturally relevant and engaging alternative to traditional dual-task paradigms that may not be suitable for low-literacy populations.

The findings underscore the significance of gait parameters in correlating with cognitive decline. Results indicated that participants with dementia exhibited notable impairments in gait, characterized by slower velocity, shorter stride length, and increased stance asymmetry, particularly under RAC conditions. Notably, RAC stance asymmetry demonstrated high accuracy in distinguishing SCD from Dementia (AUC = 0.952), outperforming dual-task measures. Additionally, correlations between gait parameters and executive function were strong (r ≈ 0.48, P < .001), reinforcing the potential of gait analysis as a proxy for cognitive assessment.

This research shifts the paradigm in cognitive impairment detection, particularly in resource-limited settings. The introduction of smartphone-based assessments, especially those utilizing culturally relevant cues like music, could streamline the diagnostic process and enhance accessibility. By integrating gait analysis with cognitive screening, this approach not only improves detection rates but also provides a scalable method to address the shortage of specialists in the region, potentially accelerating timelines for therapeutic interventions in aging populations.

Source: academic.oup.com