Abstract
Screening physical activity levels is common in trials to increase physical activity in inactive populations. Commonly applied single-item screening tools might not always be effective in identifying those who are inactive. We applied the more extensive Active Australia Survey to identify inactive people among those who had initially been misclassified as too active using a single-item measure. Those enrolled after the Active Australia Survey screening had significantly higher physical activity levels at subsequent baseline assessment. Thus, more extensive screening measures might result in the inclusion of participants who would otherwise be excluded, possibly introducing unwanted bias.
Trial registration
Australian New Zealand Clinical Trials Registry, ACTRN12611000157976.
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Details
1 Central Queensland University, Physical Activity Research Group, School for Human Health and Social Science, Rockhampton, Australia (GRID:grid.1023.0) (ISNI:0000000121930854)
2 Central Queensland University, School for Medical and Applied Sciences, Rockhampton, Australia (GRID:grid.1023.0) (ISNI:0000000121930854)
3 University of British Columbia, School of Health and Exercise Sciences, Kelowna, Canada (GRID:grid.17091.3e) (ISNI:0000000122889830)
4 University of Newcastle, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, School of Medicine and Public Health, Newcastle, Australia (GRID:grid.266842.c) (ISNI:000000008831109X)
5 Western Sydney University, School of Science and Health, Sydney, Australia (GRID:grid.1013.3) (ISNI:000000041936834X)
6 Kansas State University, Department of Human Nutrition, Manhattan, USA (GRID:grid.36567.31) (ISNI:0000000107371259)