Predicting Markers of Cognitive Decline within Small Population Samples of Daily Life Activities

Abstract

Lifestyle markers associated with health can be used to predict decline in cognitive function among individuals. The objective of this study was to investigate how lifestyle factors assessed from data surveys impact decline in cognitive function by employing a cognitive assessment questionnaire across subpopulations in three districts in India. Lifestyle attributes and their correlations to cognitive strength were identified using machine learning methods. Our analysis suggests that modifiable lifestyle factors, including physical activity, choice of smoking, social interaction, and following a regular diet, significantly impact changes in explicit and implicit memory, emphasizing the interconnectedness between lifestyle choices and cognitive function. Neuropsychological assessment scores for visuospatial and delayed recall memory abilities between male and female participants showed significant differences, highlighting the importance of considering sex differences in cognitive research and clinical practice. Lifestyle choices can have implications across perceived states of cognitive functions that can be crucial for public health and intelligent app development.