Design and Evaluation of the NFL PLAY 60 FITNESSGRAM® Partnership Project

Welk, Gregory J.; Bai, Yang; Saint‐Maurice, Pedro F.; Allums-Featherston, Kelly; Candelaria, Norma

doi:10.1080/02701367.2015.1127126

Cited by 36 publications

(33 citation statements)

References 36 publications

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“…In a subsequent study, group level YAP MVPA and SB estimates were within 10%-20% of values obtained from ActiGraph GT3X+ accelerometers (11). The YAP has been administered by school teachers without any specialist PA/SB measurement knowledge in over 1000 US schools through the NFL PLAY 60 FITNESSGRAM Partnership Project (24), which demonstrates its utility as a cost-effective population-level PA and SB measurement tool. These findings highlight the value in developing low-cost, standardised, and scalable self-report questionnaires and associated analytical techniques, that can produce estimates of PA and SB that are equivalent to those produced by accelerometers (25).…”

Section: Introductionmentioning

confidence: 67%

Calibration and validation of the Youth Activity Profile as a physical activity and sedentary behaviour surveillance tool for English youth

Fairclough

Christian²,

Saint‐Maurice

et al. 2019

Preprint

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Background Calibration algorithms applied to the Youth Activity Profile (YAP) self-report questionnaire in the US have accurately estimated moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB). However, the efficacy of the calibration algorithms may vary when applied to different populations. We aimed to: (1) assess the accuracy of US-generated YAP calibration algorithms for MVPA and SB with English youth, (2) validate English-specific YAP calibration algorithms, (3) examine their potential surveillance utility to assess compliance to MVPA guidelines. Methods Four primary schools and five secondary schools were recruited. Four-hundred-and-two participants (aged 9-16 years; 212 boys) wore SenseWear Armband Mini devices (SWA) for eight days and completed the YAP on the eighth day. For aim (1) the original US calibration algorithms were applied to the YAP scores, which were matched to SWA-estimated in-school, out-of-school, and weekend MVPA and out-of-school SB data. For aim (2) new calibration algorithms for the equivalent time-segments were generated from the English YAP data using quantile regression. The algorithms were applied in an independent cross-validation sample, and individual- and group-level agreement were assessed using bias, mean absolute percent error (MAPE) and equivalency tests, respectively. For aim (3) the utility of the English YAP algorithms to assess compliance to MVPA guidelines was examined using kappa, sensitivity, and specificity. Results Agreement between the US calibration algorithms and SWA estimates of MVPA and SB was poor. Group-level MAPE for the English YAP-estimates of in-school, out-of-school, and weekend MVPA ranged from 3.6% to 17.3%. Bias for these estimates were 17.2 (34.4), 31.6 (14.0), and -4.9 (3.6) min·week-1, respectively. Out-of-school SB was over-predicted by 109.2 (11.8) min·week-1 (MAPE=11.8%). Predicted YAP values were within 15%-20% equivalence of the SWA estimates. Classification accuracy of the English YAP MVPA estimates for compliance to 60 min·day-1 and 30 min·school-day-1 MVPA recommendations were 91%/37% and 89%/57% sensitivity/specificity, respectively. Conclusions The English YAP generated robust group-level estimates of MVPA and SB and has potential for surveillance to monitor compliance with MVPA guidelines. The YAP’s accuracy may be further improved through research work with more representative UK samples to enhance the calibration process and to refine the resultant algorithms.

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Section: Introductionmentioning

confidence: 67%

Calibration and validation of the Youth Activity Profile as a physical activity and sedentary behaviour surveillance tool for English youth

Fairclough

Christian²,

Saint‐Maurice

et al. 2019

Preprint

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“…The study used a multilevel longitudinal design to evaluate grouplevel changes in aerobic capacity (AC) and BMI in schools involved in the NFL PLAY 60 FitnessGram Partnership Project. 14 Previous studies from this large participatory network of 41,000 schools have summarized levels of health-related fitness in youth 15 and identified specific school-level factors that explain variability between schools. 16 Teachers in the network received training on the effective use of the FitnessGram program through online classes and webinars, as well as through content provided in monthly eNewsletters.…”

Section: Methodsmentioning

confidence: 99%

“…13 The present study addresses these gaps by systematically evaluating the longitudinal impact of the NFL PLAY 60 programs adopted by local school teachers on youth fitness and weight status. 14…”

Section: Introductionmentioning

confidence: 99%

The Longitudinal Impact of NFL PLAY 60 Programming on Youth Aerobic Capacity and BMI

Bai

Saint‐Maurice

Welk

et al. 2017

American Journal of Preventive Medicine

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“…Data for the present study were obtained through a participatory research project called the NFL PLAY 60 FITNESS-GRAM Partnership Project (NFL P60FGPP). The NFL P60FGPP, launched in 2009, provides training and support to a network of over 1100 schools/sites (35 site licenses per each of the 32 NFL franchises) [25]. Schools are provided training materials that include the FITNESSGRAM protocol and philosophy and are encouraged to use various NFL PLAY 60 resources to promote physical activity and healthy eating in students.…”

Section: Design and Samplementioning

confidence: 99%

Comparison of Data Screening Methods for Evaluating School-Level Fitness Patterns in Youth: Findings from the NFL PLAY 60 FITNESSGRAM Partnership Project

Saint‐Maurice¹,

Welk²,

Bai³

et al. 2014

OJPM

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Background: There has been a great interest in tracking health-related fitness across the United States. The NFL PLAY 60 FITNESSGRAM Partnership Project (NFL P60FGPP) is a large participatory research network that involves the surveillance of fitness among more than 1000 schools spread throughout the country. Fitness data are collected by school staff and therefore these data can vary in quality and representativeness. Therefore, careful screening procedures are needed to ensure that the data can reflect actual patterns in the schools. This study examined the impact of different data screening procedures on outcomes of aerobic fitness (AF) collected from the NFL P60FGPP. Methods: Data were compiled from 149,101 youth from 504 schools and were processed using the established age-and gender-specific AF FITNESSGRAM health-related standards. Data were subjected to three different screening procedures (based on grade size and boy-to-girl ratio per grade). Linear models were computed to obtain unadjusted and adjusted (for age, BMI-Z, and socio-economic status) estimates of % youth in the Healthy Fitness Zone (HFZ) in order to determine if, 1) there were differences in % in the HFZ and 2) if differences could be explained by changes in the representativeness of the sample due to the different data screening procedures. Results: Depending on the screening procedure used, the final sample ranged from 96,999 (no screening) to 46,572 youth (most stringent criteria). The proportion of youth achieving appropriate levels of AF ranged from 56% to 61% with unscreened data resulting in consistently lower percentages of youth achieving the standard (P < 0.05). Overall, these differences were not explained by possible changes in demographic characteristics as the result of applying different screening criteria. Conclusions: The findings demonstrate the importance of establishing appro-* Corresponding author. P. F. Saint-Maurice et al. 877priate screening procedures that maximize sample size while also ensuring generalizability of the findings.

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Design and Evaluation of the NFL PLAY 60 FITNESSGRAM® Partnership Project

Cited by 36 publications

References 36 publications

Calibration and validation of the Youth Activity Profile as a physical activity and sedentary behaviour surveillance tool for English youth

Calibration and validation of the Youth Activity Profile as a physical activity and sedentary behaviour surveillance tool for English youth

The Longitudinal Impact of NFL PLAY 60 Programming on Youth Aerobic Capacity and BMI

Comparison of Data Screening Methods for Evaluating School-Level Fitness Patterns in Youth: Findings from the NFL PLAY 60 FITNESSGRAM Partnership Project

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