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Testing the validity of a stage assessment on health enhancing physical activity in a chinese university student sample

Overview of attention for article published in BMC Public Health, March 2016
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Title
Testing the validity of a stage assessment on health enhancing physical activity in a chinese university student sample
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2931-2
Pubmed ID
Authors

Yanping Duan, Sonia Lippke, Ru Zhang, Walter Brehm, Pak-Kwong Chung

Abstract

The study examined the measurement quality of a stage algorithm measuring the Four steps from Inactivity to activity Theory (FIT Model). In a cross-sectional study, stages were assessed in 1012 Chinese university students in terms of physical activity, social-cognitive variables and health outcomes. Main outcome measures were stages of change, self-reported physical activity, perceived barriers, intrinsic motivation, plans, fitness and health satisfaction. Misclassification, sensitivity, specificity, receiver operating characteristic (ROC) curves, nonlinear trends, and planned comparison were computed. Compared to previous studies, sensitivity was at the average level (64 %-71 %), and specificity was comparably higher (76%-89%). When using higher PA intensity criteria (moderate and strenuous intensities), sensitivity was higher, whereas specificity was lower in comparison to the lower PA intensity criteria (also including mild activity). After running contrast and trend analyses, nonlinear trends for all indicative variables across the stages and a match of 77 % of predictions of stage differences were confirmed. The measurement quality of the stage algorithm was supported in a young adult sample.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Bachelor 9 11%
Student > Postgraduate 8 10%
Researcher 6 8%
Student > Ph. D. Student 6 8%
Other 15 19%
Unknown 23 29%
Readers by discipline Count As %
Sports and Recreations 15 19%
Psychology 11 14%
Nursing and Health Professions 10 13%
Medicine and Dentistry 8 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 7 9%
Unknown 26 33%