K E Storey1, L J McCargar. 1. School of Public Health, University of Alberta, Edmonton, Alberta, Canada. kate.storey@ualberta.ca
Abstract
BACKGROUND: Web-based surveys are becoming increasing popular. The present study aimed to assess the reliability and validity of the Web-Survey of Physical Activity and Nutrition (Web-SPAN) for self-report of height and weight, diet and physical activity by youth. METHODS: School children aged 11-15years (grades 7-9; n=459) participated in the school-based research (boys, n=225; girls, n=233; mean age, 12.8years). Students completed Web-SPAN (self-administered) twice and participated in on-site school assessments [height, weight, 3-day food/pedometer record, Physical Activity Questionnaire for Older Children (PAQ-C), shuttle run]. Intraclass (ICC) and Pearson's correlation coefficients and paired samples t-tests were used to assess the test-retest reliability of Web-SPAN and to compare Web-SPAN with the on-site assessments. RESULTS: Test-retest reliability for height (ICC=0.90), weight (ICC=0.98) and the PAQ-C (ICC=0.79) were highly correlated, whereas correlations for nutrients were not as strong (ICC=0.37-0.64). There were no differences between Web-SPAN times 1 and 2 for height and weight, although there were differences for the PAQ-C and most nutrients. Web-SPAN was strongly correlated with the on-site assessments, including height (ICC=0.88), weight (ICC=0.93) and the PAQ-C (ICC=0.70). Mean differences for height and the PAQ-C were not significant, whereas mean differences for weight were significant resulting in an underestimation of being overweight/obesity prevalence (84% agreement). Correlations for nutrients were in the range 0.24-0.40; mean differences were small but generally significantly different. Correlations were weak between the web-based PAQ-C and 3-day pedometer record (r=0.28) and 20-m shuttle run (r=0.28). CONCLUSIONS: Web-SPAN is a time- and cost-effective method that can be used to assess the diet and physical activity status of youth in large cross-sectional studies and to assess group trends (weight status).
BACKGROUND: Web-based surveys are becoming increasing popular. The present study aimed to assess the reliability and validity of the Web-Survey of Physical Activity and Nutrition (Web-SPAN) for self-report of height and weight, diet and physical activity by youth. METHODS: School children aged 11-15years (grades 7-9; n=459) participated in the school-based research (boys, n=225; girls, n=233; mean age, 12.8years). Students completed Web-SPAN (self-administered) twice and participated in on-site school assessments [height, weight, 3-day food/pedometer record, Physical Activity Questionnaire for Older Children (PAQ-C), shuttle run]. Intraclass (ICC) and Pearson's correlation coefficients and paired samples t-tests were used to assess the test-retest reliability of Web-SPAN and to compare Web-SPAN with the on-site assessments. RESULTS: Test-retest reliability for height (ICC=0.90), weight (ICC=0.98) and the PAQ-C (ICC=0.79) were highly correlated, whereas correlations for nutrients were not as strong (ICC=0.37-0.64). There were no differences between Web-SPAN times 1 and 2 for height and weight, although there were differences for the PAQ-C and most nutrients. Web-SPAN was strongly correlated with the on-site assessments, including height (ICC=0.88), weight (ICC=0.93) and the PAQ-C (ICC=0.70). Mean differences for height and the PAQ-C were not significant, whereas mean differences for weight were significant resulting in an underestimation of being overweight/obesity prevalence (84% agreement). Correlations for nutrients were in the range 0.24-0.40; mean differences were small but generally significantly different. Correlations were weak between the web-based PAQ-C and 3-day pedometer record (r=0.28) and 20-m shuttle run (r=0.28). CONCLUSIONS: Web-SPAN is a time- and cost-effective method that can be used to assess the diet and physical activity status of youth in large cross-sectional studies and to assess group trends (weight status).
Authors: Filipe Ferreira da Costa; Camilie Pacheco Schmoelz; Vanessa Fernandes Davies; Patrícia Faria Di Pietro; Emil Kupek; Maria Alice Altenburg de Assis Journal: JMIR Res Protoc Date: 2013-08-19
Authors: Kate E Storey; Laura E Forbes; Shawn N Fraser; John C Spence; Ronald C Plotnikoff; Kim D Raine; Linda J McCargar Journal: J Obes Date: 2011-11-24
Authors: Nicole Naadu Ofosu; John Paul Ekwaru; Kerry Ann Bastian; Sarah A Loehr; Kate Storey; John C Spence; Paul J Veugelers Journal: BMC Public Health Date: 2018-04-18 Impact factor: 3.295
Authors: Soo Jeong Kim; Jin A Han; Young Hwa Kim; Bo Youl Choi; Su Young Kim; Hun Je Lee; In Hwan Oh; Sung-Il Cho; Jakyoung Lee; Soon Young Lee Journal: Epidemiol Health Date: 2015-10-20
Authors: Lisan M Hidding; Mai J M Chinapaw; Mireille N M van Poppel; Lidwine B Mokkink; Teatske M Altenburg Journal: Sports Med Date: 2018-12 Impact factor: 11.136
Authors: Anna Karin Lindroos; Jessica Petrelius Sipinen; Cecilia Axelsson; Gisela Nyberg; Rikard Landberg; Per Leanderson; Marianne Arnemo; Eva Warensjö Lemming Journal: J Med Internet Res Date: 2019-10-04 Impact factor: 5.428