Pub Date : 2021-07-03DOI: 10.1080/1091367X.2021.1933490
Nicholas D. Myers, André G. Bateman, Seungmin Lee, Stephen Silverman
ABSTRACT The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2020. In 2020 original submissions (i.e., not counting revised manuscripts) increased by ~84% as compared to 2019. Fifty-three countries were represented across the 386 original manuscripts submitted to MPEES in 2020. MPEES continues to welcome high-quality submissions from around the world in 2021. The seven sections of MPEES are as follows: (a) exercise science, (b) physical activity, (c) physical education pedagogy, (d) psychology, (e) research methodology and statistics, (f) sport management and administration, and (g) tutorial and teacher’s toolbox. More than three-fourths of the manuscripts that were submitted to MPEES in 2020 were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2021. All of the original manuscripts that were submitted to MPEES in 2020 had received an initial decision by May 3, 2021 (i.e., 386 of the 386 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 288 of 288 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 90 of 98 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-three countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2020. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 176) from around the world who served as a reviewer for MPEES in 2020. Volume 24 (i.e., the volume published in 2020) of MPEES published a total of 32 manuscripts. More than three-fourths of the published manuscripts were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2021. Eleven countries were represented across the manuscripts published in Volume 24 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2021. The 2019 impact factor for MPEES (released in ~June 2020) was 1.75. The value of this impact factor placed MPEES in the second quartile (i.e., ranked #115 out of 263 journals) within the Education & Educational Research category of Clarivate Analytics.
{"title":"Measurement in Physical Education and Exercise Science (MPEES): A Summary of MPEES-Related Activities in 2020","authors":"Nicholas D. Myers, André G. Bateman, Seungmin Lee, Stephen Silverman","doi":"10.1080/1091367X.2021.1933490","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1933490","url":null,"abstract":"ABSTRACT The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2020. In 2020 original submissions (i.e., not counting revised manuscripts) increased by ~84% as compared to 2019. Fifty-three countries were represented across the 386 original manuscripts submitted to MPEES in 2020. MPEES continues to welcome high-quality submissions from around the world in 2021. The seven sections of MPEES are as follows: (a) exercise science, (b) physical activity, (c) physical education pedagogy, (d) psychology, (e) research methodology and statistics, (f) sport management and administration, and (g) tutorial and teacher’s toolbox. More than three-fourths of the manuscripts that were submitted to MPEES in 2020 were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2021. All of the original manuscripts that were submitted to MPEES in 2020 had received an initial decision by May 3, 2021 (i.e., 386 of the 386 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 288 of 288 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 90 of 98 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-three countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2020. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 176) from around the world who served as a reviewer for MPEES in 2020. Volume 24 (i.e., the volume published in 2020) of MPEES published a total of 32 manuscripts. More than three-fourths of the published manuscripts were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2021. Eleven countries were represented across the manuscripts published in Volume 24 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2021. The 2019 impact factor for MPEES (released in ~June 2020) was 1.75. The value of this impact factor placed MPEES in the second quartile (i.e., ranked #115 out of 263 journals) within the Education & Educational Research category of Clarivate Analytics.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"25 1","pages":"191 - 201"},"PeriodicalIF":2.1,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1933490","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43387208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT This study aimed to determine the validity of the ActiGraph wGT3X-BT for step counts (SC) at five different body locations in laboratory settings. A total of 29 male adults participated in this study. The participants walked or ran for different speeds on the treadmill while wearing ActiGraph wGT3X-BT on their right wrist (RW), left wrist (LW), waist, right ankle (RA), and right upper arm (RUA). Both the video camera and each ActiGraph recorded SC simultaneously. The waist, RUA (6, 8, 10 km/hr and total), and RA (4 and 6 km/hr) showed small Mean Absolute Percentage Error (MAPE) values (<5%) and good agreement with Bland–Altman plots. However, the waist (2 and 4 km/hr), RUA (2 and 4 km/hr), RA (2, 8, 10 km/hr and total), RW, and LW showed high MAPE. In conclusion, the waist and RUA are valid for the total SC during walking and running in the laboratory setting.
{"title":"Validation of the ActiGraph wGT3X-BT Accelerometer for Step Counts at Five Different Body Locations in Laboratory Settings","authors":"Ayda Karaca, Necip Demirci, Vedat Yılmaz, Sinem HAZIR AYTAR, Sema Can, Evrim Ünver","doi":"10.1080/1091367X.2021.1948414","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1948414","url":null,"abstract":"ABSTRACT This study aimed to determine the validity of the ActiGraph wGT3X-BT for step counts (SC) at five different body locations in laboratory settings. A total of 29 male adults participated in this study. The participants walked or ran for different speeds on the treadmill while wearing ActiGraph wGT3X-BT on their right wrist (RW), left wrist (LW), waist, right ankle (RA), and right upper arm (RUA). Both the video camera and each ActiGraph recorded SC simultaneously. The waist, RUA (6, 8, 10 km/hr and total), and RA (4 and 6 km/hr) showed small Mean Absolute Percentage Error (MAPE) values (<5%) and good agreement with Bland–Altman plots. However, the waist (2 and 4 km/hr), RUA (2 and 4 km/hr), RA (2, 8, 10 km/hr and total), RW, and LW showed high MAPE. In conclusion, the waist and RUA are valid for the total SC during walking and running in the laboratory setting.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"63 - 72"},"PeriodicalIF":2.1,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1948414","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42013953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.1080/1091367X.2021.1948415
R. Burgueño, Antonio Calderón, Oleg A. Sinelnikov, Jesús Medina-Casaubón
ABSTRACT This research developed and psychometrically tested the Sport Education Scale, a measure of students’ perceptions of the structural features of a Sport Education season. In the first study (N = 277 students), a pool of 28 items was developed, and an exploratory factor analysis found a 7-factor solution. In the second study (N = 656 students), a confirmatory factor analysis verified the 28-item 7-factor correlated model, which was invariant across gender and age. Convergent validity was met by suitable average variance extracted values. Discriminant validity was underpinned by appropriate values for heterotrait-monotrait ratio of correlations and correlations among latent factors. Reliability was adequate for each factor of the Sport Education Scale. A structural equation modeling showed that Sport Education positively predicted perceived competence, sportspersonship, and intrinsic motivation among students. The Sport Education Scale is a valid and reliable instrument to assess the core elements of this pedagogical model.
{"title":"Development and Initial Validation of the Sport Education Scale","authors":"R. Burgueño, Antonio Calderón, Oleg A. Sinelnikov, Jesús Medina-Casaubón","doi":"10.1080/1091367X.2021.1948415","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1948415","url":null,"abstract":"ABSTRACT This research developed and psychometrically tested the Sport Education Scale, a measure of students’ perceptions of the structural features of a Sport Education season. In the first study (N = 277 students), a pool of 28 items was developed, and an exploratory factor analysis found a 7-factor solution. In the second study (N = 656 students), a confirmatory factor analysis verified the 28-item 7-factor correlated model, which was invariant across gender and age. Convergent validity was met by suitable average variance extracted values. Discriminant validity was underpinned by appropriate values for heterotrait-monotrait ratio of correlations and correlations among latent factors. Reliability was adequate for each factor of the Sport Education Scale. A structural equation modeling showed that Sport Education positively predicted perceived competence, sportspersonship, and intrinsic motivation among students. The Sport Education Scale is a valid and reliable instrument to assess the core elements of this pedagogical model.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"73 - 87"},"PeriodicalIF":2.1,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1948415","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44349632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-20DOI: 10.1080/1091367X.2021.1943400
L. Thams, L. Hvid, C. T. Damsgaard, M. Hansen
ABSTRACT We aimed to assess the test-retest reliability of five muscle strength and physical function tests in healthy children. Forty-one children (6–9 years) were tested three times 4–10 days apart. The test protocol included maximal isometric leg press, hand grip strength, squat jump, long jump, and a 30-sec sit-to-stand test (STST). When comparing test round 1 with 2 and 2 with 3, we found good-to-excellent retest reliability of leg press (intraclass correlation coefficient, ICC = 0.87 and ICC = 0.94), hand grip (ICC = 0.90 and ICC = 0.94), and long jump (ICC = 0.86 and ICC = 0.87). Initially, there was a moderate reliability of squat jump (ICC = 0.71), which was improved to ICC = 0.82 (round 2–3). Similarly, reliability of STST was improved from low (ICC = 0.63) to moderate reliability (ICC = 0.78). We conclude that leg press, hand grip, squat jump, and long jump tests are reliable measurements of children’s muscle strength and function, even without familiarization. Contrary, STST requires familiarization to ensure adequate reliability.
{"title":"Test-Retest Reliability of Muscle Strength and Physical Function Tests in 6–9-Year-old Children","authors":"L. Thams, L. Hvid, C. T. Damsgaard, M. Hansen","doi":"10.1080/1091367X.2021.1943400","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1943400","url":null,"abstract":"ABSTRACT We aimed to assess the test-retest reliability of five muscle strength and physical function tests in healthy children. Forty-one children (6–9 years) were tested three times 4–10 days apart. The test protocol included maximal isometric leg press, hand grip strength, squat jump, long jump, and a 30-sec sit-to-stand test (STST). When comparing test round 1 with 2 and 2 with 3, we found good-to-excellent retest reliability of leg press (intraclass correlation coefficient, ICC = 0.87 and ICC = 0.94), hand grip (ICC = 0.90 and ICC = 0.94), and long jump (ICC = 0.86 and ICC = 0.87). Initially, there was a moderate reliability of squat jump (ICC = 0.71), which was improved to ICC = 0.82 (round 2–3). Similarly, reliability of STST was improved from low (ICC = 0.63) to moderate reliability (ICC = 0.78). We conclude that leg press, hand grip, squat jump, and long jump tests are reliable measurements of children’s muscle strength and function, even without familiarization. Contrary, STST requires familiarization to ensure adequate reliability.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"25 1","pages":"379 - 387"},"PeriodicalIF":2.1,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1943400","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44146207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-20DOI: 10.1080/1091367X.2021.1944154
C. Edwardson, B. Maylor, Nathan P. Dawkins, T. Plekhanova, A. Rowlands
ABSTRACT The aim was to establish which postural and physical activity outcomes are comparable across different accelerometer brands worn on the thigh when processed using open-source methods. Twenty participants wore four accelerometers (Axivity, ActiGraph, activPAL, GENEActiv) for three free-living days. Postural and physical activity outputs (average acceleration, intensity gradient, intensity of the most active 30 min, 60 min, and 8 h) were generated. Postural outputs: Mean absolute percent errors (MAPEs) were low, reliability excellent, and equivalency within the 5% zone across all monitor pairings for sitting/lying and upright times, but not specific lying postures. Physical activity outputs: MAPEs were higher and reliability lower than for sitting/lying and upright time. However, the majority of the outcomes were within the 10% equivalency zone for Axivity/GENEActiv and Axivity/ActiGraph pairings. Total sitting/lying and upright times show strong potential for harmonization across studies utilizing different thigh-worn accelerometers. The majority of acceleration outcomes compare well for Axivity, GENEActiv, and ActiGraph.
{"title":"Comparability of Postural and Physical Activity Metrics from Different Accelerometer Brands Worn on the Thigh: Data Harmonization Possibilities","authors":"C. Edwardson, B. Maylor, Nathan P. Dawkins, T. Plekhanova, A. Rowlands","doi":"10.1080/1091367X.2021.1944154","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1944154","url":null,"abstract":"ABSTRACT The aim was to establish which postural and physical activity outcomes are comparable across different accelerometer brands worn on the thigh when processed using open-source methods. Twenty participants wore four accelerometers (Axivity, ActiGraph, activPAL, GENEActiv) for three free-living days. Postural and physical activity outputs (average acceleration, intensity gradient, intensity of the most active 30 min, 60 min, and 8 h) were generated. Postural outputs: Mean absolute percent errors (MAPEs) were low, reliability excellent, and equivalency within the 5% zone across all monitor pairings for sitting/lying and upright times, but not specific lying postures. Physical activity outputs: MAPEs were higher and reliability lower than for sitting/lying and upright time. However, the majority of the outcomes were within the 10% equivalency zone for Axivity/GENEActiv and Axivity/ActiGraph pairings. Total sitting/lying and upright times show strong potential for harmonization across studies utilizing different thigh-worn accelerometers. The majority of acceleration outcomes compare well for Axivity, GENEActiv, and ActiGraph.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"39 - 50"},"PeriodicalIF":2.1,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1944154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47805218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-20DOI: 10.1080/1091367X.2021.1941033
Zhiguang Zhang, Madison Predy, Nicholas Kuzik, Lyndel Hewitt, K. Hesketh, Lesley Pritchard, A. Okely, V. Carson
ABSTRACT This study examined the concurrent validity of a tummy time questionnaire and time-use diary against an accelerometer measure. Participants were 29 parents and their 6-month-old infants from the Early Movers project in Edmonton, Canada. Tummy time was concurrently measured using a parental questionnaire, a time-use diary, and a validated GENEActiv accelerometer. In participants with data on all measures (n = 26), relative (Spearman’s rank correlations) and absolute (Wilcoxon signed-rank tests and Bland–Altman plots) concurrent validity were examined. The questionnaire (rs = 0.60) and time-use diary (rs = 0.80) tummy time measures were significantly correlated with the accelerometer measure, with large effect sizes (r > 0.50). Compared to the accelerometer measure of tummy time, a significant difference in mean rank was observed for the questionnaire measure but not for the time-use diary measure. Bland–Altman plots showed a significant mean difference in tummy time between the accelerometer and questionnaire measures (42 min/d; 95% limits of agreement: −73,157 min/d) but not between the accelerometer and time-use diary measures (2 min/d; 95% limits of agreement: −47,51 min/d). These preliminary findings indicate both subjective measures may be appropriate for infant studies examining associations with tummy time and/or comparing tummy time between samples. The time-use diary may also provide a relatively precise estimate of tummy time in prevalence studies.
{"title":"Validity of an Infant Tummy Time Questionnaire and Time-use Diary against the GENEActiv Accelerometer","authors":"Zhiguang Zhang, Madison Predy, Nicholas Kuzik, Lyndel Hewitt, K. Hesketh, Lesley Pritchard, A. Okely, V. Carson","doi":"10.1080/1091367X.2021.1941033","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1941033","url":null,"abstract":"ABSTRACT This study examined the concurrent validity of a tummy time questionnaire and time-use diary against an accelerometer measure. Participants were 29 parents and their 6-month-old infants from the Early Movers project in Edmonton, Canada. Tummy time was concurrently measured using a parental questionnaire, a time-use diary, and a validated GENEActiv accelerometer. In participants with data on all measures (n = 26), relative (Spearman’s rank correlations) and absolute (Wilcoxon signed-rank tests and Bland–Altman plots) concurrent validity were examined. The questionnaire (rs = 0.60) and time-use diary (rs = 0.80) tummy time measures were significantly correlated with the accelerometer measure, with large effect sizes (r > 0.50). Compared to the accelerometer measure of tummy time, a significant difference in mean rank was observed for the questionnaire measure but not for the time-use diary measure. Bland–Altman plots showed a significant mean difference in tummy time between the accelerometer and questionnaire measures (42 min/d; 95% limits of agreement: −73,157 min/d) but not between the accelerometer and time-use diary measures (2 min/d; 95% limits of agreement: −47,51 min/d). These preliminary findings indicate both subjective measures may be appropriate for infant studies examining associations with tummy time and/or comparing tummy time between samples. The time-use diary may also provide a relatively precise estimate of tummy time in prevalence studies.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"27 - 38"},"PeriodicalIF":2.1,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1941033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47290854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-08DOI: 10.1080/1091367X.2021.1937176
Ž. Kozinc, N. Šarabon
ABSTRACT We examined the relationships between heights of different vertical jumps and isometric single-joint strength characteristics of ankle, knee, hip, and trunk joints in young male soccer players (n = 117). The highest peak torque and rate of torque development (RTD) outcomes were in low to moderate correlation with jump heights (r = 0.25–0.50). The correlations were generally higher for bilateral than unilateral jumps. Linear regression models accounted for 33–35% and 24.5 of the variance in bilateral and unilateral jump height, respectively. Hip extension peak torque, ankle RTD and trunk lateral flexion peak torque were most consistently included in the regression models. Our results suggest the that single-joint isometric testing does not seem to be useful to detect weaknesses related to vertical jump performance. The relative importance of individual lower limb joints for vertical jumping seems comparable. Trunk strength should not be neglected as the determinant of jumping performance.
{"title":"Measurements of Lower-limb Isometric Single-joint Maximal Voluntary Torque and Rate of Torque Development Capacity Offer Limited Insight into Vertical Jumping Performance","authors":"Ž. Kozinc, N. Šarabon","doi":"10.1080/1091367X.2021.1937176","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1937176","url":null,"abstract":"ABSTRACT We examined the relationships between heights of different vertical jumps and isometric single-joint strength characteristics of ankle, knee, hip, and trunk joints in young male soccer players (n = 117). The highest peak torque and rate of torque development (RTD) outcomes were in low to moderate correlation with jump heights (r = 0.25–0.50). The correlations were generally higher for bilateral than unilateral jumps. Linear regression models accounted for 33–35% and 24.5 of the variance in bilateral and unilateral jump height, respectively. Hip extension peak torque, ankle RTD and trunk lateral flexion peak torque were most consistently included in the regression models. Our results suggest the that single-joint isometric testing does not seem to be useful to detect weaknesses related to vertical jump performance. The relative importance of individual lower limb joints for vertical jumping seems comparable. Trunk strength should not be neglected as the determinant of jumping performance.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"15 - 26"},"PeriodicalIF":2.1,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1937176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45818585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.1080/1091367X.2021.1922910
Oriol Sansano-Nadal, Jason J. Wilson, Carme Martín-Borràs, J. Brønd, Mathias Skjødt, P. Caserotti, Marta Roqué i Figuls, N. Blackburn, J. Klenk, D. Rothenbacher, M. Guerra-Balic, Manel Font-Farré, M. Denkinger, L. Coll-Planas, M. Deidda, E. McIntosh, M. Giné-Garriga, M. Tully
ABSTRACT The main aim of this study was to assess the criterion validity of the Sedentary Behavior Questionnaire (SBQ) to measure SB in community-dwelling older adults using thigh-measured accelerometry as the criterion method. 801 participants (75.6 ± 6.1 years old, 57.6% females) provided valid thigh-based accelerometer data (activPAL/Axivity) and completed the SBQ. Criterion validity was assessed using Spearman’s Rho coefficients. Bland–Altman plots, including 95% limits of agreement and Intraclass Correlation Coefficient (ICC), were used to assess the agreement between self-report and device-measured daily SB time. Strength of the association was examined using multiple linear regression. There was a weak correlation (Rho = 0.25, p < .001) between self-reported and device-based SB measures. The SBQ under-estimated daily SB time compared to accelerometry. Our results highlighted an overall weak-to-moderate correlation between measures, with significant differences between each country’s version. Researchers should be cautious when using the SBQ to provide an estimation of SB time in older adults.
{"title":"Validity of the Sedentary Behavior Questionnaire in European Older Adults Using English, Spanish, German and Danish Versions","authors":"Oriol Sansano-Nadal, Jason J. Wilson, Carme Martín-Borràs, J. Brønd, Mathias Skjødt, P. Caserotti, Marta Roqué i Figuls, N. Blackburn, J. Klenk, D. Rothenbacher, M. Guerra-Balic, Manel Font-Farré, M. Denkinger, L. Coll-Planas, M. Deidda, E. McIntosh, M. Giné-Garriga, M. Tully","doi":"10.1080/1091367X.2021.1922910","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1922910","url":null,"abstract":"ABSTRACT The main aim of this study was to assess the criterion validity of the Sedentary Behavior Questionnaire (SBQ) to measure SB in community-dwelling older adults using thigh-measured accelerometry as the criterion method. 801 participants (75.6 ± 6.1 years old, 57.6% females) provided valid thigh-based accelerometer data (activPAL/Axivity) and completed the SBQ. Criterion validity was assessed using Spearman’s Rho coefficients. Bland–Altman plots, including 95% limits of agreement and Intraclass Correlation Coefficient (ICC), were used to assess the agreement between self-report and device-measured daily SB time. Strength of the association was examined using multiple linear regression. There was a weak correlation (Rho = 0.25, p < .001) between self-reported and device-based SB measures. The SBQ under-estimated daily SB time compared to accelerometry. Our results highlighted an overall weak-to-moderate correlation between measures, with significant differences between each country’s version. Researchers should be cautious when using the SBQ to provide an estimation of SB time in older adults.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"1 - 14"},"PeriodicalIF":2.1,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1922910","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44727152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-11eCollection Date: 2021-01-01DOI: 10.1080/1091367X.2021.1874955
Lucy Eddy, Liam J B Hill, Mark Mon-Williams, Nick Preston, Andy Daly-Smith, Gareth Medd, Daniel D Bingham
Evidence suggests that children struggle to acquire age-appropriate fundamental movement skills (FMS), despite their importance for facilitating physical activity. This has led to calls for routine school-based screening of children's FMS. However, there is limited research exploring schools' capacity to conduct such assessments. This study investigated what factors might affect the adoption and implementation of FMS assessments in primary schools. School staff (n = 853) completed an online questionnaire developed using the Capability, Opportunity, Motivation and Behavior (COM-B) model. A majority reported that knowledge of pupils' FMS ability would be beneficial (65.3%), and 71.8% would assess FMS if support was provided. Barriers included: Capability - few possessed knowledge of FMS (15%); Opportunity - teachers reported 30-60 minutes as acceptable for assessing a class, a substantially shorter period than current assessments require; Motivation - 57.2% stated FMS assessments would increase workload stress. Solutions to these issues are discussed using the COM-B theoretical framework.
{"title":"Fundamental Movement Skills and Their Assessment in Primary Schools from the Perspective of Teachers.","authors":"Lucy Eddy, Liam J B Hill, Mark Mon-Williams, Nick Preston, Andy Daly-Smith, Gareth Medd, Daniel D Bingham","doi":"10.1080/1091367X.2021.1874955","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1874955","url":null,"abstract":"<p><p>Evidence suggests that children struggle to acquire age-appropriate fundamental movement skills (FMS), despite their importance for facilitating physical activity. This has led to calls for routine school-based screening of children's FMS. However, there is limited research exploring schools' capacity to conduct such assessments. This study investigated what factors might affect the adoption and implementation of FMS assessments in primary schools. School staff (n = 853) completed an online questionnaire developed using the Capability, Opportunity, Motivation and Behavior (COM-B) model. A majority reported that knowledge of pupils' FMS ability would be beneficial (65.3%), and 71.8% would assess FMS if support was provided. Barriers included: Capability - few possessed knowledge of FMS (15%); Opportunity - teachers reported 30-60 minutes as acceptable for assessing a class, a substantially shorter period than current assessments require; Motivation - 57.2% stated FMS assessments would increase workload stress. Solutions to these issues are discussed using the COM-B theoretical framework.</p>","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"25 3","pages":"236-249"},"PeriodicalIF":2.1,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1874955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39302742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-03DOI: 10.1080/1091367X.2021.1917414
Tommy Haugen, D. Peters, Y. Ommundsen, Luc J. Martin, A. Stenling, Rune Høigaard
ABSTRACT This study aimed to translate the modified Group Environment Questionnaire (GEQ) and the Youth Sport Environment Questionnaire (YSEQ) into Norwegian, examine the factor structure and reliability of the scales through independent clusters model confirmatory factor analysis (ICM-CFA) and exploratory structural equation modeling (ESEM), and examine differential item functioning (DIF) as a function of sex. Three-hundred-and-thirty-three athletes (M(SD)age = 18.7(2.60) years; 33% females) completed the GEQ. Three-hundred-and-three athletes (M(SD)age = 15.0(1.48) years; 26% females) completed the YSEQ. Results indicated acceptable fit indices for a four-factor, a second-order two-factor (task and social), and a second order one-factor ESEM model for the GEQ. Cross-loadings and high latent factor correlations are issues in need of attention. The study supported the structural validity and reliability of the Norwegian YSEQ, with no major differences between the ICM-CFA and ESEM. No evidence of DIF as a function of sex was identified in either of the scales.
{"title":"Psychometric Evaluation of the Norwegian Versions of the Modified Group Environment Questionnaire and the Youth Sport Environment Questionnaire","authors":"Tommy Haugen, D. Peters, Y. Ommundsen, Luc J. Martin, A. Stenling, Rune Høigaard","doi":"10.1080/1091367X.2021.1917414","DOIUrl":"https://doi.org/10.1080/1091367X.2021.1917414","url":null,"abstract":"ABSTRACT This study aimed to translate the modified Group Environment Questionnaire (GEQ) and the Youth Sport Environment Questionnaire (YSEQ) into Norwegian, examine the factor structure and reliability of the scales through independent clusters model confirmatory factor analysis (ICM-CFA) and exploratory structural equation modeling (ESEM), and examine differential item functioning (DIF) as a function of sex. Three-hundred-and-thirty-three athletes (M(SD)age = 18.7(2.60) years; 33% females) completed the GEQ. Three-hundred-and-three athletes (M(SD)age = 15.0(1.48) years; 26% females) completed the YSEQ. Results indicated acceptable fit indices for a four-factor, a second-order two-factor (task and social), and a second order one-factor ESEM model for the GEQ. Cross-loadings and high latent factor correlations are issues in need of attention. The study supported the structural validity and reliability of the Norwegian YSEQ, with no major differences between the ICM-CFA and ESEM. No evidence of DIF as a function of sex was identified in either of the scales.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"25 1","pages":"365 - 378"},"PeriodicalIF":2.1,"publicationDate":"2021-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1091367X.2021.1917414","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48028378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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