The study’s aims were to translate the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to Chinese and examine its psychometric properties. Adapting it for use in China involved forward translation, synthesis, back translation, expert review, and pretesting. A convenience sample of 201 Chinese older adults completed the Chinese version (CHAMPS-C) to evaluate its construct validity index and associations with physiological, psychosocial, and energy expenditure measures. The construct validity index of the CHAMPS-C was 0.95, and it had fair to moderate associations with physiological and psychosocial measures, other scales of physical activity, and accelerometer measurements. Our structured, stepwise process of cross-cultural adaptation produced a scale (i.e., CHAMPS-C), with items equivalent in meaning to the English version, for use with Chinese older adults. The findings of this study indicate that the CHAMPS-C has acceptable reliability and validity to assess the physical activity of older Chinese adults.
Xiaoyang Shi, Yan Wang, Xiuxiu Huang, Shangshang Gao, Qiaoqin Wan and Shaomei Shang
Diego Augusto Santos Silva, Katie E. Gunnell and Mark Stephen Tremblay
Background: This study aimed to examine the factor structure of responses to the Portuguese version of questions related to screen time–based sedentary behavior among adolescents. Methods: This cross-sectional study with a sample of 1083 adolescents aged 14–19 years was conducted in Brazil. The sample was randomly divided into 2 groups for an exploratory factor analysis and for a confirmatory factor analysis. Screen time was investigated by a Portuguese version of questions about time sitting in front of television, computer, and video games on weekdays and weekends. Results: Scree plots showed 2 factors with eigenvalues above 1. One factor was formed by items about television and computer use, and the other factor was formed by items about video game use. The exploratory factor analysis with 2 factors resulted in factor loadings above .60. A second model with 1 factor was estimated and resulted in factor loadings above .55. A confirmatory factor analysis was estimated based on the 2-factor exploratory factor analysis and goodness-of-fit statistics were adequate. Confirmatory factor analysis with 1 factor had goodness-of-fit statistics adequate. Conclusions: The Portuguese language version of self-report screen time had 2 possible factor solutions, and items demonstrated good factor structure with reasonable reliability making it suitable for use in the future studies.
Siobhán O’Connor, Róisín Leahy, Enda Whyte, Paul O’Donovan and Lauren Fortington
Camogie is one of Ireland’s most popular sports, and the full contact nature presents a high potential for injury. This study aims to present the first overview of elite and nonelite camogie injuries by examining adult players’ self-reported worst injuries from one season. At least one injury was sustained by 88.2% of camogie players during the previous season and 60.0% sustained 2+ injuries. Knee and ankle ligaments, hamstring strains and hand/fingers/thumb fractures were key injuries identified, which can lead to substantive health and economic impacts. Further research to establish the mechanism of these injuries is required in order to start shaping potential measures for their prevention.
Mitesh S. Patel, David A. Asch, Roy Rosin, Dylan S. Small, Scarlett L. Bellamy, Karen Hoffer, David Shuttleworth, Victoria Hilbert, Jingsan Zhu, Lin Yang, Xingmei Wang and Kevin G. Volpp
smartphone. A team was considered eligible for participation in the study once all members had completed all surveys and questionnaires and successfully linked their Moves app to the study. Randomization and Interventions A computer-generated random number sequence was used to assign each 4-person team to
Seung Ho Chang, Kyungun Kim, Jihyun Lee and Sukho Lee
an intervention to increase PA; (3) included disadvantaged or at-risk children and youths, aged 3–17 years; (4) included studies whose PA reporting methods have been known to be reliable and valid such as an accelerometer, pedometer, self-report survey, and questionnaires; (5) published in peer
Chelsee A. Shortt, Collin A. Webster, Richard J. Keegan, Cate A. Egan and Ali S. Brian
.D. , III , & Villanova , P. ( 2006 ). Designing surveys and questionnaires for research . In E.T.L. Leong & J.T. Austin (Eds.), The psychology research handbook: A guide for graduate students and research assistants, ( 2nd ed. , pp. 114 – 124 ). New York, NY : Sage . 10.4135/9781412976626.n
Sarah Deans, Alison Kirk, Anthony McGarry and David Rowe
included the use of surveys and questionnaires, pressure monitors, and instruments such as the StepWatch ™ Activity Monitor. The researchers concluded from 12 studies that validated measurement tools are used in the assessment of physical behavior, despite these tools not being originally designed for use
Andre Koka and Heino Sildala
classes in general and not about in one particular class. Participants were next directed to an online questionnaire that was developed by the Google Docs online survey and questionnaire tool. Students completed the online questionnaire at their convenience. The study was approved by the local ethical