| Autor: |
Beretta VS; Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Tebar WR; Centre of Clinical and Epidemiological Research, University Hospital, University of Sao Paulo, Sao Paulo 05403-000, Brazil., Scarabottolo CC; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Delfino LD; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Saraiva BTC; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Santos AB; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Antunes EP; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Leoci IC; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil., Ferrari G; Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia 7500912, Chile., Christofaro DGD; Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil. |
| Abstrakt: |
This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods. |
