期刊论文详细信息
International Journal of Behavioral Nutrition and Physical Activity
Validity of a practitioner-administered observational tool to measure physical activity, nutrition, and screen time in school-age programs
Steven L Gortmaker2  Madeleine E deBlois2  Catherine M Giles2  Angie L Cradock2  Erica L Kenney2  Jessica L Barrett2  Cassandra A Okechukwu2  Karen M Emmons1  Rebekka M Lee2 
[1] Kaiser Foundation Research Institute, Oakland, California;Harvard School of Public Health, Social and Behavioral Sciences, 677 Huntington Avenue, Boston 02115, MA, USA
关键词: Measurement;    Validation;    Out-of-school time;    Afterschool;    Screen time;    Children;    Physical activity;    Nutrition;   
Others  :  1136127
DOI  :  10.1186/s12966-014-0145-5
 received in 2014-07-03, accepted in 2014-11-10,  发布年份 2014
PDF
【 摘 要 】

Background

Nutrition and physical activity interventions have been effective in creating environmental changes in afterschool programs. However, accurate assessment can be time-consuming and expensive as initiatives are scaled up for optimal population impact. This study aims to determine the criterion validity of a simple, low-cost, practitioner-administered observational measure of afterschool physical activity, nutrition, and screen time practices and child behaviors.

Methods

Directors from 35 programs in three cities completed the Out-of-School Nutrition and Physical Activity Observational Practice Assessment Tool (OSNAP-OPAT) on five days. Trained observers recorded snacks served and obtained accelerometer data each day during the same week. Observations of physical activity participation and snack consumption were conducted on two days. Correlations were calculated to validate weekly average estimates from OSNAP-OPAT compared to criterion measures. Weekly criterion averages are based on 175 meals served, snack consumption of 528 children, and physical activity levels of 356 children.

Results

OSNAP-OPAT validly assessed serving water (r = 0.73), fruits and vegetables (r = 0.84), juice >4oz (r = 0.56), and grains (r = 0.60) at snack; sugary drinks (r = 0.70) and foods (r = 0.68) from outside the program; and children’s water consumption (r = 0.56) (all p <0.05). Reports of physical activity time offered were correlated with accelerometer estimates (minutes of moderate and vigorous physical activity r = 0.59, p = 0.02; vigorous physical activity r = 0.63, p = 0.01). The reported proportion of children participating in moderate and vigorous physical activity was correlated with observations (r = 0.48, p = 0.03), as were reports of computer (r = 0.85) and TV/movie (r = 0.68) time compared to direct observations (both p < 0.01).

Conclusions

OSNAP-OPAT can assist researchers and practitioners in validly assessing nutrition and physical activity environments and behaviors in afterschool settings.

Trial registration

Phase 1 of this measure validation was conducted during a study registered at clinicaltrials.gov NCT01396473 webcite.

【 授权许可】

   
2014 Lee et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150311121351571.pdf 257KB PDF download
【 参考文献 】
  • [1][http:/ / www.surgeongeneral.gov/ initiatives/ healthy-fit-nation/ obesityvision2010.pdf] webcite The Surgeon General’s Vision for a Healthy and Fit Nation. []
  • [2]Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM: Prevalence of high body mass index in US children and adolescents, 2007–2008. JAMA 2010, 303:242-249.
  • [3][http://www.health.gov/paguidelines/] webcite Physical Activity Guidelines for Americans. []
  • [4]Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M: Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008, 40:181-188.
  • [5]Gortmaker S, Lee R, Cradock A, Sobol A, Duncan D, Wang Y: Disparities in Youth Physical Activity in the United States: 2003–2006. Med Sci Sports Exerc 2011, 44:888-893.
  • [6]Muñoz KA, Krebs-Smith SM, Ballard-Barbash R, Cleveland LE: Food Intakes of US Children and Adolescents Compared With Recommendations. Pediatrics 1997, 100:323-329.
  • [7]Piernas C, Popkin BM: Trends In Snacking Among U.S. Children. Health Aff 2010, 29:398-404.
  • [8]Dzewaltowski D, Rosenkranz R, Geller K, Coleman K, Welk G, Hastmann T, Milliken G: HOP’N after-school project: an obesity prevention randomized controlled trial. Int J Behav Nutr Phys Act 2010, 7:90. BioMed Central Full Text
  • [9]Gutin B, Yin Z, Johnson M, Barbeau P: Preliminary findings of the effect of a 3-year after-school physical activity intervention on fitness and body fat: The Medical College of Georgia Fitkid Project. Int J Pediatr Obes 2008, 3:3-9.
  • [10]Gortmaker SL, Lee RM, Mozaffarian RS, Sobol AM, Nelson TF, Roth BA, Wiecha JL: Effect of an after-school intervention on increases in children’s physical activity. Med Sci Sports Exerc 2012, 44:450-457.
  • [11]Beets MW, Weaver RG, Moore JB, Turner-McGrievy G, Pate RR, Webster C, Beighle A: From Policy to Practice: Strategies to Meet Physical Activity Standards in YMCA Afterschool Programs. Am J Prev Med 2014, 46:281-288.
  • [12]Beets MW, Huberty J, Beighle A: Systematic Observation of Physical Activity in Afterschool Programs: Preliminary Findings From Movin’ Afterschool Intervention. J Phys Act Health 2013, 10:974-981.
  • [13]Gortmaker SL, Cheung LW, Peterson KE, Chomitz G, Cradle JH, Dart H, Fox MK, Bullock RB, Sobol AM, Colditz G, Field AE, Laird N: Impact of a school-based interdisciplinary intervention on diet and physical activity among urban primary school children: eat well and keep moving. Arch Pediatr Adolesc Med 1999, 153:975-983.
  • [14]Mozaffarian RS, Wiecha JL, Roth BA, Nelson TF, Lee RM, Gortmaker SL: Impact of an Organizational Intervention Designed to Improve Snack and Beverage Quality in YMCA After-School Programs. Am J Public Health 2010, 100:925-932.
  • [15]Giles CM, Kenney EL, Gortmaker SL, Lee RM, Thayer JC, Mont-Ferguson H, Cradock AL: Increasing Water Availability During Afterschool Snack Evidence, Strategies, and Partnerships from a Group Randomized Trial. Am J Prev Med 2012, 43:S136-S142.
  • [16]Williamson DA, Allen HR, Martin PD, Alfonso AJ, Gerald B, Hunt A: Comparison of digital photography to weighed and visual estimation of portion sizes. J Am Diet Assoc 2003, 103:1139-1145.
  • [17]Corder K, Ekelund U, Steele RM, Wareham NJ, Brage S: Assessment of physical activity in youth. J Appl Physiol 2008, 105:977-987.
  • [18]Biddle SJ, Gorely T, Pearson N, Bull FC: An assessment of self-reported physical activity instruments in young people for population surveillance: Project ALPHA. Int J Behav Nutr Phys Act 2011, 8:1. BioMed Central Full Text
  • [19]Magarey A, Watson J, Golley RK, Burrows T, Sutherland R, McNaughton SA, Denney-Wilson E, Campbell K, Collins C: Assessing dietary intake in children and adolescents: Considerations and recommendations for obesity research. Int J Pediatr Obes 2011, 6:2-11.
  • [20]DeVellis RF: Scale Development: Theory and Applications. Sage, Los Angeles; 2012.
  • [21]Ajja R, Beets MW, Huberty J, Kaczynski AT, Ward DS: The Healthy Afterschool Activity and Nutrition Documentation Instrument. Am J Prev Med 2012, 43:263-271.
  • [22]Bower JK, Hales DP, Tate DF, Rubin DA, Benjamin SE, Ward DS: The childcare environment and children’s physical activity. Am J Prev Med 2008, 34:23-29.
  • [23]Janz KF, Witt J, Mahoney LT: The stability of children’s physical activity as measured by accelerometry and self-report. Med Sci Sports Exerc 1995, 27:1326-1332.
  • [24]Plasqui G, Westerterp KR: Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity 2007, 15:2371-2379.
  • [25]Butte NF, Wong WW, Lee JS, Adolph AL, Puyau MR, Zakeri IF: Prediction of Energy Expenditure and Physical Activity in Preschoolers. Med Sci Sports Exerc 2014, 46:1216-1226.
  • [26]McKenzie TL, Marshall SJ, Sallis JF, Conway TL: Leisure-time physical activity in school environments: an observational study using SOPLAY. Prev Med 2000, 30:70-77.
  • [27]Saint-Maurice P, Welk G, Ihmels M, Krapfl J: Validation of the SOPLAY direct observation tool with an accelerometery-based physical activity monitor. J Phys Act Health 2011, 8:1108-1116.
  • [28]Baglio ML, Baxter SD, Guinn CH, Thompson WO, Shaffer NM, Frye FHA: Assessment of interobserver reliability in nutrition studies that use direct observation of school meals. J Am Diet Assoc 2004, 104:1385-1392.
  • [29]Kenney EL, Davison KK, Austin SB, Giles CM, Cradock AL, Lee RM, Gortmaker SL. Validity and reliability of a simple, low cost measure to quantify children’s dietary intake in afterschool settings. J Acad Nutr Diet, in press.
  • [30]DuRant RH, Baranowski T, Johnson M, Thompson WO: The relationship among television watching, physical activity, and body composition of young children. Pediatrics 1994, 94:449-455.
  • [31]Richter SL, Vandervet LM, Macaskill LA, Salvadori MI, Seabrook JA, Dworatzek PDN: Accuracy and Reliability of Direct Observations of Home-Packed Lunches in Elementary Schools by Trained Nutrition Students. J Acad Nutr Diet 2012, 112:1603-1607.
  • [32]Benjamin S, Neelon B, Ball S, Bangdiwala S, Ammerman A, Ward D: Reliability and validity of a nutrition and physical activity environmental self-assessment for child care. Int J Behav Nutr Phys Act 2007, 4:29. BioMed Central Full Text
  • [33]Henderson KE, Grode GM, Middleton AE, Kenney EL, Falbe J, Schwartz MB: Validity of a measure to assess the child-care nutrition and physical activity environment. J Am Diet Assoc 2011, 111:1306-1313.
  文献评价指标  
  下载次数:7次 浏览次数:24次