Testing the Youth Physical Activity Promotion Model during the Covid-19 Pandemic, with Partial Least Squares Second-Order Latent Constructs

Dados Bibliográficos

ID15501278
AutoresElena Druică (0000-0003-1063-7913, University of Bucharest), Rodica Ianole-Călin (0000-0001-8931-1179, University of Bucharest), Monica Sakizlian (0000-0002-3708-2164, University of Bucharest, autor correspondente), Daniela Aducovschi (0000-0001-7178-0786, University of Bucharest), Remus Dumitrescu (University of Bucharest), Robert SAKIZLIAN (University of Bucharest)
Ano2021
Volume18
Fascículo12
Páginas6398-6398
Data de publicação2021-06-13
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18126398
PMID34199185
OpenAlexW3168762604
IdiomaEN
Citações recebidas1
Referências citadas20

We tested the Youth Physical Activity Promotion (YPAP) framework on Romanian students in order to identify actionable determinants to support participation in physical activity. Our sample consisted of 665 responses to an online survey, with participants aged 18-23 (mean = 19 years); 70% were women. We used the partial least squares algorithm to estimate the relationships between students' behavior and possible predictors during the COVID-19 pandemic. Our results indicate that all the theoretical dimensions of YPAP (predisposing, enabling and reinforcing) have a positive and significant impact on physical activity, with two mediating mechanisms expressed as predisposing factors: able and worth. Unlike previous research, we used second-order latent constructs, unveiling a particular structure for the enabling dimension that only includes sport competence, fitness and skills, but not the environmental factors

Competence (human resources · Coronavirus disease 2019 (COVID-19 · Disease · Health promotion · Order (exchange · Pandemic · Partial least squares regression · Physical activity · Physical therapy · Political science · Promotion (chess · Public health · Romanian · Statistics · Structural equation modeling · Behavioral Health and Interventions · Mathematics · Medicine · Motivation and Self-Concept in Sports · Physical Activity and Health · Psychology · Social Psychology