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1.
Appl Physiol Nutr Metab ; 47(9): 926-932, 2022 Sep 01.
Article in English | MEDLINE | ID: mdl-36005480

ABSTRACT

The PLAYself is a commonly utilized tool to assess physical literacy in child and adolescent populations. Currently, there are no measurement tools designed to examine physical literacy among adults. The purpose of this cross-sectional study was to examine the psychometric properties of PLAYself subsections in a sample of young adults. Two hundred forty-five young adults (ages 18-25) from the United States completed the PLAYself questionnaire. Multiple principal component analyses using promax rotation were utilized to assess the current factor structure of the PLAYself subsections. Each subsection was analyzed independently to explore individual summary components. PLAYself subsections were assessed for reliability using Cronbach's α, inter-item correlations, and item-total correlations. A multi-factor structure was identified for each PLAYself subsection. A 2-factor structure was identified for the Environment subsection accounting for 55.2% of the variance. A 2-factor structure was identified for the Physical Literacy Self-Description subsection accounting for 57.1% of the variance. A 3-factor structure was identified for the Relative Ranking of Literacies subsection accounting for 70.3% of the variance. The Environment, Physical Literacy Self-Description, and Relative Ranking of Literacies subsections demonstrated poor (α = 0.577), good (α = 0.89), and acceptable (α = 0.79) internal consistencies, respectively. The Physical Literacy Self-Description subsection demonstrated the best psychometric properties in our sample, and thus may be an appropriate tool to assess physical literacy in a young adult population until additional measurement tools are developed.


Subject(s)
Health Literacy , Adolescent , Adult , Child , Cross-Sectional Studies , Humans , Psychometrics , Reproducibility of Results , Surveys and Questionnaires , Young Adult
2.
Clin J Sport Med ; 26(5): 423-8, 2016 Sep.
Article in English | MEDLINE | ID: mdl-26657821

ABSTRACT

OBJECTIVE: To develop and validate a concise survey that will identify athletes who possess elevated injury risk. DESIGN: Cohort study. SETTING: National Collegiate Athletic Association Division I athletic program. PARTICIPANTS: Cohorts of 188 and 146 college athletes who participated during successive academic years. ASSESSMENT OF RISK FACTORS: The first cohort provided responses to 4 joint-specific outcome surveys that were related to subsequent time-loss injury occurrence. Receiver operating characteristic analysis identified survey items that provided best discrimination, which were combined with a negative life event stress item to create a new 10-item survey. The second cohort provided responses to the new survey, which were converted to a 0 to 100 score. MAIN OUTCOME MEASURES: Construct validity was assessed through documentation of time-loss injuries sustained during the preceding 12 months and predictive validity was assessed through prospective documentation of sport-related sprains and strains. Cronbach alpha was calculated to assess internal consistency. RESULTS: Each of the outcome survey items used to develop the new survey demonstrated much greater specificity than sensitivity. Both the retrospective and prospective receiver operating characteristic (ROC) analyses identified scores of 96 and 88 as cut-points that provided good discrimination between injured and noninjured cases. The area under the curve was 0.69 (P < 0.001) for the retrospective analysis and 0.62 (P = 0.016) for the prospective analysis. Cronbach alpha was 0.89 (90% CI, 0.86-0.91). CONCLUSIONS: Self-reported effects of previous injury may be one method to efficiently identify athletes who possess elevated injury risk, and subsequently deliver preventive interventions, thereby providing an alternative method to time-intensive functional testing.


Subject(s)
Athletic Injuries/prevention & control , Decision Support Techniques , Health Status Indicators , Physical Fitness , Athletic Injuries/etiology , Female , Humans , Male , Prospective Studies , ROC Curve , Reproducibility of Results , Retrospective Studies , Risk Assessment , Risk Factors , Self Report , Sprains and Strains/etiology , Sprains and Strains/prevention & control
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