Intraclass Correlation Coefficients for Obesity Indicators and Energy Balance-Related Behaviors among New York City Public Elementary Schools

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Title: Intraclass Correlation Coefficients for Obesity Indicators and Energy Balance-Related Behaviors among New York City Public Elementary Schools
Language: English
Authors: Gray, Heewon Lee, Burgermaster, Marissa, Tipton, Elizabeth, Contento, Isobel R., Koch, Pamela A., Di Noia, Jennifer
Source: Health Education & Behavior. Apr 2016 43(2):172-181.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 10
Publication Date: 2016
Sponsoring Agency: National Institute of Food and Agriculture (USDA)
Contract Number: 20108521520661
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Descriptors: Obesity, Energy, Elementary School Students, Body Composition, Body Weight, Body Height, Questionnaires, Computation, Prevention, Preadolescents, Early Adolescents, Institutional Characteristics, English Language Learners, Socioeconomic Status, African American Students, Hispanic American Students, Physical Activity Level, Eating Habits, Public Schools, Television Viewing, Audience Response Systems, Statistical Analysis
Geographic Terms: New York
DOI: 10.1177/1090198115598987
ISSN: 1090-1981
Abstract: Objective: Sample size and statistical power calculation should consider clustering effects when schools are the unit of randomization in intervention studies. The objective of the current study was to investigate how student outcomes are clustered within schools in an obesity prevention trial. Method: Baseline data from the Food, Health & Choices project were used. Participants were 9- to 13-year-old students enrolled in 20 New York City public schools (n = 1,387). Body mass index (BMI) was calculated based on measures of height and weight, and body fat percentage was measured with a Tanita® body composition analyzer (Model SC-331s). Energy balance-related behaviors were self-reported with a frequency questionnaire. To examine the cluster effects, intraclass correlation coefficients (ICCs) were calculated as school variance over total variance for outcome variables. School-level covariates, percentage students eligible for free and reduced-price lunch, percentage Black or Hispanic, and English language learners were added in the model to examine ICC changes. Results: The ICCs for obesity indicators are: 0.026 for BMI-percentile, 0.031 for BMI z-score, 0.035 for percentage of overweight students, 0.037 for body fat percentage, and 0.041 for absolute BMI. The ICC range for the six energy balance-related behaviors are 0.008 to 0.044 for fruit and vegetables, 0.013 to 0.055 for physical activity, 0.031 to 0.052 for recreational screen time, 0.013 to 0.091 for sweetened beverages, 0.033 to 0.121 for processed packaged snacks, and 0.020 to 0.083 for fast food. When school-level covariates were included in the model, ICC changes varied from -95% to 85%. Conclusions: This is the first study reporting ICCs for obesity-related anthropometric and behavioral outcomes among New York City public schools. The results of the study may aid sample size estimation for future school-based cluster randomized controlled trials in similar urban setting and population. Additionally, identifying school-level covariates that can reduce cluster effects is important when analyzing data.
Abstractor: As Provided
Number of References: 33
Entry Date: 2016
Accession Number: EJ1095961
Database: ERIC
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  Data: Intraclass Correlation Coefficients for Obesity Indicators and Energy Balance-Related Behaviors among New York City Public Elementary Schools
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  Data: <searchLink fieldCode="AR" term="%22Gray%2C+Heewon+Lee%22">Gray, Heewon Lee</searchLink><br /><searchLink fieldCode="AR" term="%22Burgermaster%2C+Marissa%22">Burgermaster, Marissa</searchLink><br /><searchLink fieldCode="AR" term="%22Tipton%2C+Elizabeth%22">Tipton, Elizabeth</searchLink><br /><searchLink fieldCode="AR" term="%22Contento%2C+Isobel+R%2E%22">Contento, Isobel R.</searchLink><br /><searchLink fieldCode="AR" term="%22Koch%2C+Pamela+A%2E%22">Koch, Pamela A.</searchLink><br /><searchLink fieldCode="AR" term="%22Di+Noia%2C+Jennifer%22">Di Noia, Jennifer</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Health+Education+%26+Behavior%22"><i>Health Education & Behavior</i></searchLink>. Apr 2016 43(2):172-181.
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
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  Data: 10
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  Data: 2016
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  Data: National Institute of Food and Agriculture (USDA)
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  Data: 20108521520661
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Obesity%22">Obesity</searchLink><br /><searchLink fieldCode="DE" term="%22Energy%22">Energy</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Students%22">Elementary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Body+Composition%22">Body Composition</searchLink><br /><searchLink fieldCode="DE" term="%22Body+Weight%22">Body Weight</searchLink><br /><searchLink fieldCode="DE" term="%22Body+Height%22">Body Height</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Prevention%22">Prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Preadolescents%22">Preadolescents</searchLink><br /><searchLink fieldCode="DE" term="%22Early+Adolescents%22">Early Adolescents</searchLink><br /><searchLink fieldCode="DE" term="%22Institutional+Characteristics%22">Institutional Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22English+Language+Learners%22">English Language Learners</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+Status%22">Socioeconomic Status</searchLink><br /><searchLink fieldCode="DE" term="%22African+American+Students%22">African American Students</searchLink><br /><searchLink fieldCode="DE" term="%22Hispanic+American+Students%22">Hispanic American Students</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+Activity+Level%22">Physical Activity Level</searchLink><br /><searchLink fieldCode="DE" term="%22Eating+Habits%22">Eating Habits</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Schools%22">Public Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Television+Viewing%22">Television Viewing</searchLink><br /><searchLink fieldCode="DE" term="%22Audience+Response+Systems%22">Audience Response Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22New+York%22">New York</searchLink>
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  Data: 10.1177/1090198115598987
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1090-1981
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Sample size and statistical power calculation should consider clustering effects when schools are the unit of randomization in intervention studies. The objective of the current study was to investigate how student outcomes are clustered within schools in an obesity prevention trial. Method: Baseline data from the Food, Health & Choices project were used. Participants were 9- to 13-year-old students enrolled in 20 New York City public schools (n = 1,387). Body mass index (BMI) was calculated based on measures of height and weight, and body fat percentage was measured with a Tanita® body composition analyzer (Model SC-331s). Energy balance-related behaviors were self-reported with a frequency questionnaire. To examine the cluster effects, intraclass correlation coefficients (ICCs) were calculated as school variance over total variance for outcome variables. School-level covariates, percentage students eligible for free and reduced-price lunch, percentage Black or Hispanic, and English language learners were added in the model to examine ICC changes. Results: The ICCs for obesity indicators are: 0.026 for BMI-percentile, 0.031 for BMI z-score, 0.035 for percentage of overweight students, 0.037 for body fat percentage, and 0.041 for absolute BMI. The ICC range for the six energy balance-related behaviors are 0.008 to 0.044 for fruit and vegetables, 0.013 to 0.055 for physical activity, 0.031 to 0.052 for recreational screen time, 0.013 to 0.091 for sweetened beverages, 0.033 to 0.121 for processed packaged snacks, and 0.020 to 0.083 for fast food. When school-level covariates were included in the model, ICC changes varied from -95% to 85%. Conclusions: This is the first study reporting ICCs for obesity-related anthropometric and behavioral outcomes among New York City public schools. The results of the study may aid sample size estimation for future school-based cluster randomized controlled trials in similar urban setting and population. Additionally, identifying school-level covariates that can reduce cluster effects is important when analyzing data.
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  Data: 2016
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  Data: EJ1095961
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        Value: 10.1177/1090198115598987
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      – Text: English
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      Pagination:
        PageCount: 10
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    Subjects:
      – SubjectFull: Obesity
        Type: general
      – SubjectFull: Energy
        Type: general
      – SubjectFull: Elementary School Students
        Type: general
      – SubjectFull: Body Composition
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      – SubjectFull: Body Weight
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      – SubjectFull: Body Height
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      – SubjectFull: English Language Learners
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      – SubjectFull: African American Students
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      – SubjectFull: Statistical Analysis
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      – SubjectFull: New York
        Type: general
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