Literature DB >> 11720271

Intraclass correlation for measures from a middle school nutrition intervention study: estimates, correlates, and applications.

D M Murray1, G A Phillips, A S Bimbaum, L A Lytle.   

Abstract

This article presents the first estimates of school-level intraclass correlation for dietary measures based on data from the Teens Eating for Energy and Nutrition at School study. This study involves 3,878 seventh graders from 16 middle schools from Minneapolis-St. Paul, Minnesota. The sample was 66.8% White, 11.2% Black, and 7.0% Asian; 48.8% of the sample was female. Typical fruit and vegetable intake was assessed with a modified version of the Behavior Risk Factor Surveillance System questionnaire. Twenty-four-hour dietary recalls were conducted by nutritionists using the Minnesota Nutrition Data System. Mixed-model regression methods were used to estimate variance components for school and residual error, both before and after adjustment for demographic factors. School-level intraclass correlations were large enough, if ignored, to substantially inflate the Type I error rate in an analysis of treatment effects. The authors show how to use the estimates to determine sample size requirements for future studies.

Entities:  

Mesh:

Year:  2001        PMID: 11720271     DOI: 10.1177/109019810102800602

Source DB:  PubMed          Journal:  Health Educ Behav        ISSN: 1090-1981


  7 in total

Review 1.  Design and analysis of group-randomized trials: a review of recent methodological developments.

Authors:  David M Murray; Sherri P Varnell; Jonathan L Blitstein
Journal:  Am J Public Health       Date:  2004-03       Impact factor: 9.308

2.  When intraclass correlation coefficients go awry: a case study from a school-based smoking prevention study in South Africa.

Authors:  Ken Resnicow; Nanhua Zhang; Roger D Vaughan; Sasiragha Priscilla Reddy; Shamagonam James; David M Murray
Journal:  Am J Public Health       Date:  2010-02-18       Impact factor: 9.308

Review 3.  Individually randomized group treatment trials: a critical appraisal of frequently used design and analytic approaches.

Authors:  Sherri L Pals; David M Murray; Catherine M Alfano; William R Shadish; Peter J Hannan; William L Baker
Journal:  Am J Public Health       Date:  2008-06-12       Impact factor: 9.308

4.  Measuring diet in primary school children aged 8-11 years: validation of the Child and Diet Evaluation Tool (CADET) with an emphasis on fruit and vegetable intake.

Authors:  M S Christian; C E L Evans; C Nykjaer; N Hancock; J E Cade
Journal:  Eur J Clin Nutr       Date:  2014-08-20       Impact factor: 4.016

5.  Planning a cluster randomized trial with unequal cluster sizes: practical issues involving continuous outcomes.

Authors:  Lydia Guittet; Philippe Ravaud; Bruno Giraudeau
Journal:  BMC Med Res Methodol       Date:  2006-04-12       Impact factor: 4.615

6.  B'More Healthy: Retail Rewards--design of a multi-level communications and pricing intervention to improve the food environment in Baltimore City.

Authors:  Nadine Budd; Alison Cuccia; Jayne K Jeffries; Divya Prasad; Kevin D Frick; Lisa Powell; Fred A Katz; Joel Gittelsohn
Journal:  BMC Public Health       Date:  2015-03-24       Impact factor: 3.295

7.  A priori postulated and real power in cluster randomized trials: mind the gap.

Authors:  Lydia Guittet; Bruno Giraudeau; Philippe Ravaud
Journal:  BMC Med Res Methodol       Date:  2005-08-18       Impact factor: 4.615

  7 in total

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