Predictors of sustained physical activity: behaviour, bodily health, and the living environment

• DOI: 10.3389/fphys.2023.1213075
• Publication Date: 2024-01-08T04:17:17Z
• Authors: Delia Elena Diaco...; Iulian Stoleriu; Ioana Andreea Câm...; Ana-Maria Andrei; Ștefan Boncu; Cezar Honceriu; Veronica Mocanu; Georgiana Juravle
• Keywords: walking; risk for cardiovascular disease (CVD); BMI; 03 medical and health sciences; 0302 clinical medicine; Physiology; blood cholesterol; QP1-981; health; environment

This study examined the determinants of sustained physical activity. Eighty-four participants undertook a 7-weeks walking regime (i.e., 1-h biometrically-monitored walk, at least 5 days/week), with bioelectrical impedance (BIA) and total cholesterol capillary blood measurements performed before after programme. To investigate behavioural habit formation, 7 weeks termination, all were interviewed (health) re-tested. Data modelled an artificial neural network (ANN) cascading algorithm. Our results highlight successful prediction continued activity by considering one's fitness state, environmental living context, risk for cardiovascular disease. Importantly, those models also taking body mass index (BMI) as predictors excel predicting continuation predictions 93% predictability). These are first to type importance available physiological drivers in maintaining such walking. They discussed within framework formation nowadays health and/or wellbeing focus.