Physical Activity Levels and Predictors during COVID-19 Lockdown among Lebanese Adults: The Impacts of Sociodemographic Factors, Type of Physical Activity and Work Location.

ABSTRACT:

Background

Although effective against COVID-19, national lockdowns have several deleterious behavioral and health effects, including physical inactivity. The objective of this study is to assess physical activity (PA) levels during lockdown and the predictors of PA among Lebanese adults, while comparing classical statistics to machine learning models.

Methods

Data were collected using an online questionnaire, with PA being evaluated through the "International Physical Activity Questionnaire" (IPAQ)-long form. Machine learning models were applied to predict total PA ≥ 600 MET·min/week.

Results

Among 795 participants, while 67.5% auto-declared a decrease in PA level during lockdown, 36.2% did not meet the minimum recommendations for PA. Multivariate analysis showed that

SUBMITTER: Harmouche-Karaki M 

PROVIDER: S-EPMC10378799 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature