School-level intraclass correlation for physical activity in sixth grade girls

被引:34
作者
Murray, David M.
Stevens, June
Hannan, Peter J.
Catellier, Diane J.
Schmitz, Kathryn H.
Dowda, Marsha
Conway, Terry L.
Rice, Janet C.
Yang, Song
机构
[1] Ohio State Univ, Sch Publ Hlth, Div Epidemiol, Columbus, OH 43210 USA
[2] Univ N Carolina, Sch Publ Hlth, Dept Nutr, Chapel Hill, NC USA
[3] Univ N Carolina, Sch Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA
[4] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[5] Univ N Carolina, Sch Publ Hlth, Dept Biostat, Chapel Hill, NC USA
[6] Univ S Carolina, Dept Exercise Sci, Columbia, SC 29208 USA
[7] San Diego State Univ, Grad Sch Publ Hlth, San Diego, CA 92182 USA
[8] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Biostat, New Orleans, LA 70118 USA
[9] NHLBI, Div Epidemiol & Clin Applicat, Bethesda, MD 20892 USA
关键词
group-randomized trial; accelerometer; intervention effect; power analysis;
D O I
10.1249/01.mss.0000218188.57274.91
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Purpose: The Trial for Activity in Adolescent Girls (TAAG) is a group-randomized trial (GRT) to reduce the usual decline in moderate to vigorous physical activity (MVPA) among middle school girls. We report the school-level intraclass correlation (ICC) for MVPA from the TAAG baseline survey of sixth grade girls and describe the relationship between the schedule of data collection and the ICC. Methods: Each of six sites recruited six schools and randomly selected 60 sixth grade girls from each school: 74.2% participated. Girls were grouped in waves defined by the date measurements began and asked to wear an Actigraph accelerometer for 6 d. Occasional missing data were replaced by imputation, and counts above 1500 per 30 s were treated as MVPA, converted into metabolic equivalents (METs), and summed over 6 a.m.-midnight to provide MET-minutes per 18-h day. Mixed-model regression was used to estimate ICC. Results: The school-level ICC were higher when estimated from a single wave compared with three waves (e.g., 0.057 vs 0.022) and across weekdays compared with weekend days (e.g.. 0.024 vs 0.012). Power in a new trial would be greater with some schedules (e.g., 88% given three waves and 6 d) than with others (e.g., 23% given one wave and Tuesday only). Conclusions: The schedule of data collection can have a dramatic effect on the ICC for MVPA. In turn, this can have a dramatic effect on the standard error for an intervention effect and on power. Investigators will need to consider the expected magnitude of the ICC and the validity of the MVPA estimates associated with their data collection schedule in planning a new study.
引用
收藏
页码:926 / 936
页数:11
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