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Physical Activity Dimensions Differentially Predict Physical and Mental Components of Health-Related Quality of Life: Evidence from a Sport for All Study

Authors :
Marcelo de Maio Nascimento
Miguel Peralta
Bruna R. Gouveia
Priscila Marconcin
Gerson Ferrari
Boris Cheval
Lúcia Conceição
Andreas Ihle
Duarte Oliveira
Élvio R. Gouveia
Matthias Kliegel
Source :
Sustainability, Vol 13, Iss 13370, p 13370 (2021), Sustainability; Volume 13; Issue 23; Pages: 13370, Sustainability, Vol. 13, No 23 (2021) P. 13370
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The present cross-sectional study aimed to investigate the relationship between different dimensions of physical activity (PA) (i.e., work, sport, leisure) and health-related quality of life (HRQoL) (i.e., overall, physical component, mental component) in an adult lifespan sample of 381 active individuals (age range: 18–88 years; 38.8% men), while controlling for important covariates in terms of sex, age, education, and health profile regarding medical history. HRQoL was assessed using the 12-item Short-Form Health Survey (SF-12). Usual (i.e., previous 12 months) PA was assessed during face-to-face interviews using the Baecke questionnaire. Hierarchical regression analyses showed in Step 1 that the three PA dimensions work, sport, and leisure (entered simultaneously) together predicted 8%, 10%, and 4% of the variance in SF-12 total score, SF-12 physical component, and SF-12 mental component, respectively. In the final model, adjusting for sex, age, education, and health profile regarding medical history, sport emerged as the only PA dimension predicting SF-12 total score and the SF-12 physical component. In conclusion, health-policy targets at the community level should include the promotion of lifelong engagement in PA, especially sport, to allow the sustainability of HRQoL across the lifespan of our society.

Details

Language :
English
ISSN :
20711050
Volume :
13
Issue :
13370
Database :
OpenAIRE
Journal :
Sustainability
Accession number :
edsair.doi.dedup.....6671e7adc078b013d1c29b3391748cee