Kristine A Madsen1, Jennifer Linchey2, Lorrene Ritchie3, Hannah R Thompson4. 1. UC Berkeley School of Public Health, University Hall, Box 7360, Berkeley, CA 94720-7369, United States. Electronic address: madsenk@berkeley.edu. 2. UC Berkeley School of Public Health, University Hall, Box 7360, Berkeley, CA 94720-7369, United States. Electronic address: jlinchey@berkeley.edu. 3. Nutrition Policy Institute, University of California, Division of Agriculture and Natural Resources, 1111 Franklin Street #10123, Oakland, CA 94607, United States. Electronic address: lritchie@ucanr.edu. 4. UC Berkeley School of Public Health, University Hall, Box 7360, Berkeley, CA 94720-7369, United States. Electronic address: thompsonh@berkeley.edu.
Abstract
BACKGROUND: In the U.S., 25 states conduct body mass index (BMI) screening in schools, just under half of which report results to parents. While some experts recommend the practice, evidence demonstrating its efficacy to reduce obesity is lacking, and concerns about weight-related stigma have been raised. METHODS/ DESIGN: The Fit Study is a 3-arm cluster-randomized trial assessing the effectiveness of school-based BMI screening and reporting in reducing pediatric obesity and identifying unintended consequences. Seventy-nine elementary and middle schools across California were randomized to 1 of 3 Arms: 1) BMI screening and reporting; 2) BMI screening only; or 3) no BMI screening or reporting. In Arm 1 schools, students were further randomized to receive reports with BMI results alone or both BMI and fitness test results. Over 3 consecutive years, staff in schools in Arms 1 and 2 will measure students' BMI (grades 3-8) and additional aspects of fitness (grades 5-8), and students in grades 4-8 in all Arms will complete surveys to assess weight-based stigmatization. Change in BMI z-score will be compared between Arm 1 and Arm 2 to determine the impact of BMI reporting on weight status, with sub-analyses stratified by report type (BMI results alone versus BMI plus fitness results) and by race/ethnicity. The potential for BMI reports to lead to weight-based stigma will be assessed by comparing student survey results among the 3 study Arms. DISCUSSION: This study will provide evidence on both the benefit and potential unintended harms of school-based BMI screening and reporting.
RCT Entities:
BACKGROUND: In the U.S., 25 states conduct body mass index (BMI) screening in schools, just under half of which report results to parents. While some experts recommend the practice, evidence demonstrating its efficacy to reduce obesity is lacking, and concerns about weight-related stigma have been raised. METHODS/ DESIGN: The Fit Study is a 3-arm cluster-randomized trial assessing the effectiveness of school-based BMI screening and reporting in reducing pediatric obesity and identifying unintended consequences. Seventy-nine elementary and middle schools across California were randomized to 1 of 3 Arms: 1) BMI screening and reporting; 2) BMI screening only; or 3) no BMI screening or reporting. In Arm 1 schools, students were further randomized to receive reports with BMI results alone or both BMI and fitness test results. Over 3 consecutive years, staff in schools in Arms 1 and 2 will measure students' BMI (grades 3-8) and additional aspects of fitness (grades 5-8), and students in grades 4-8 in all Arms will complete surveys to assess weight-based stigmatization. Change in BMI z-score will be compared between Arm 1 and Arm 2 to determine the impact of BMI reporting on weight status, with sub-analyses stratified by report type (BMI results alone versus BMI plus fitness results) and by race/ethnicity. The potential for BMI reports to lead to weight-based stigma will be assessed by comparing student survey results among the 3 study Arms. DISCUSSION: This study will provide evidence on both the benefit and potential unintended harms of school-based BMI screening and reporting.
Authors: Hannah R Thompson; Jennifer K Linchey; Benjamin King; John H Himes; Kristine A Madsen Journal: J Sch Health Date: 2019-05-28 Impact factor: 2.118
Authors: Tamara Brown; Theresa Hm Moore; Lee Hooper; Yang Gao; Amir Zayegh; Sharea Ijaz; Martha Elwenspoek; Sophie C Foxen; Lucia Magee; Claire O'Malley; Elizabeth Waters; Carolyn D Summerbell Journal: Cochrane Database Syst Rev Date: 2019-07-23