| Autor: |
Kallings LV; Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, GIH, 114 86 Stockholm, Sweden.; Family Medicine, Department of Public Health and Caring Sciences, Uppsala University, 751 22 Uppsala, Sweden., Olsson SJG; Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, GIH, 114 86 Stockholm, Sweden., Ekblom Ö; Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, GIH, 114 86 Stockholm, Sweden., Ekblom-Bak E; Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, GIH, 114 86 Stockholm, Sweden., Börjesson M; Institute of Neuroscience and Physiology and Institute of Food, Nutrition and Sport Science, Göteborg University, 405 30 Gothenburg, Sweden.; Sahlgrenska University Hospital/Östra, 416 50 Gothenburg, Sweden. |
| Abstrakt: |
The unfavorable health consequences of prolonged time spent sedentary (stationary) make accurate assessment in the general population important. However, for many existing questionnaires, validity for identifying stationary time has not been shown or has shown low validity. This study aimed to assess the concurrent and convergent validity of the GIH stationary single-item question (SED-GIH). Data were obtained in 2013 and 2014 from two Swedish cohorts. A total of 711 men and women provided valid accelerometer data (Actigraph GT3X+) and were included for concurrent validity analyses. A total of 560 individuals answered three additional commonly used sedentary questions, and were included for convergent validity analysis. The SED-GIH displayed a significant correlation with total stationary time (r s = 0.48) and time in prolonged stationary time (r s = 0.44). The ROC analysis showed an AUC of 0.72 for identifying individuals with stationary time over 600 min/day. The SED-GIH correlated significantly with other previously used questions (r = 0.72-0.89). The SED-GIH single-item question showed a relatively high agreement with device-assessed stationary behavior and was able to identify individuals with high levels of stationary time. Thus, the SED-GIH may be used to assess total and prolonged stationary time. This has important implications, as simple assessment tools of this behavior are needed in public health practice and research. |
