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Connectedness to Nature Does Not Explain the Variation in Physical Activity and Body Composition in Adults and Older People
- Source :
- International Journal of Environmental Research and Public Health, Vol 18, Iss 11951, p 11951 (2021), International Journal of Environmental Research and Public Health; Volume 18; Issue 22; Pages: 11951, International Journal of Environmental Research and Public Health
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Connectedness to nature (CN) is a significant predictor of pro-environmental behaviours, human health and well-being. However, research on how this connection to the natural world might promote a more active lifestyle and improve body mass composition according to gender is lacking. This study investigated the influence of CN on physical activity (PA) and body composition in adults and older people. We recruited a sample of 219 individuals (77 men and 142 women), and a self-administered questionnaire was used to measure CN and obtain demographic data. Body composition was assessed by bioimpedance, and PA was assessed by accelerometry. Correlations and stepwise multiple regressions were used in data analysis. CN’s association with other variables was more pronounced in women than in men, and we only identified significant associations with steps/day and body composition. However, this variable would not be included in the regression models that we developed. Adiposity levels and muscle status were significant predictors of PA in women. In both genders, age, percentage of fat mass and fat-free mass were selected as regressors in the models developed for visceral fat area and muscle condition (R2 Adjusted ≥ 0.908).
- Subjects :
- Adult
Male
Social connectedness
Health, Toxicology and Mutagenesis
abdominal adiposity
Physical activity
Mass composition
Motor Activity
Demographic data
Article
Fat mass
Body Mass Index
nature relatedness
gender
muscle condition
demographic factors
accelerometer
Human health
Medicine
Humans
Exercise
Adiposity
Aged
business.industry
Public Health, Environmental and Occupational Health
Regression analysis
Cross-Sectional Studies
Body Composition
Female
business
Older people
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 16617827 and 16604601
- Volume :
- 18
- Issue :
- 11951
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health
- Accession number :
- edsair.doi.dedup.....58f6d6d6f2af80a12cd6b0ade48df6c9