Correlates of Total and domain-specific Sedentary behavior: a cross-sectional study in Dutch adults ...
Abstract Background Sedentary behavior (SB) is associated with increased risks of detrimental health outcomes. Few studies have explored correlates of SB in physically active individuals. Furthermore, SB correlates may depend on settings of SB, such as occupation, transportation and leisure time sitting. This study aims to identify subject-, lifestyle- and health-related correlates for total SB and different SB domains: transportation, occupation, and leisure time. Methods Dutch participants were recruited between June, 2015 and December, 2016. Participant characteristics (i.e. age, sex, weigh... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2020 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Medicine / Physiology / FOS: Biological sciences / Sociology / FOS: Sociology / 69999 Biological Sciences not elsewhere classified / Developmental Biology |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28983788 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.4854693.v1 |
Abstract Background Sedentary behavior (SB) is associated with increased risks of detrimental health outcomes. Few studies have explored correlates of SB in physically active individuals. Furthermore, SB correlates may depend on settings of SB, such as occupation, transportation and leisure time sitting. This study aims to identify subject-, lifestyle- and health-related correlates for total SB and different SB domains: transportation, occupation, and leisure time. Methods Dutch participants were recruited between June, 2015 and December, 2016. Participant characteristics (i.e. age, sex, weight, height, marital status, education level, employment), lifestyle (sleep, smoking, alcohol consumption, physical activity) and medical history were collected via an online questionnaire. SB was assessed using the Sedentary Behavior Questionnaire and estimated for 9 different activities during weekdays and weekend days. Logistic regression was used to calculate odds ratios and 95% confidence intervals for the ...