Literature DB >> 24325403

Long-term obesity prevention and the Motivating Adolescents with Technology to CHOOSE Health™ program.

Suzanne Lazorick1, Yancey Crawford, Anthony Gilbird, Xiangming Fang, Veronica Burr, Valeria Moore, George T Hardison.   

Abstract

BACKGROUND: The Motivating Adolescents with Technology to CHOOSE Health™ (MATCH) intervention integrates lifestyle behavior change curriculum within academic subjects taught in seventh grade. This study assesses obesity prevention in participants into high school.
METHODS: The study compares four- to five-year longitudinal data from a single-site cohort (N=106, 54% retained from 195 participants at baseline; 82% of those still at the school) pre- and postintervention in a rural middle school with high obesity rates with data from the 2006 Child Survey and 2010 Child and Young Adult Surveys from the National Longitudinal Survey of Youth 1979 (N=600), which serves as a nationally representative comparison group. Outcome measures include pre- and postchanges in weight category, BMI, BMI z-score, BMI percentile for age and gender, and rates of change per month in BMI measures.
RESULTS: At follow-up, change in percent overweight was significantly different between groups, with the MATCH group decreasing (20-12%) and the comparison group increasing (17-19%). Overall, the MATCH group had significantly higher decrease rates in BMI z-scores (p=0.002) and BMI percentile (p=0.01) than the comparison group. Of all adolescents at healthy weight at baseline, 2% from MATCH became overweight after five years, whereas 13% of the comparison group increased to overweight or obese (p=0.02) after four years.
CONCLUSIONS: Despite a small sample size and a high-risk setting, at long-term follow-up, a greater proportion of MATCH participants than in the comparison group decreased from overweight to healthy weight or remained at healthy weight. The MATCH results suggest that some proportion of high-risk adolescents can have their growth trajectory follow a healthier path than expected.

Entities:  

Mesh:

Year:  2013        PMID: 24325403     DOI: 10.1089/chi.2013.0049

Source DB:  PubMed          Journal:  Child Obes        ISSN: 2153-2168            Impact factor:   2.992


  8 in total

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Review 2.  Childhood obesity and the metabolic syndrome.

Authors:  Scott Owens; Riley Galloway
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3.  Interventions for preventing obesity in children.

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

4.  Facilitating Development Research: Suggestions for Recruiting and Re-Recruiting Children and Families.

Authors:  Lisa B Hurwitz; Kelly L Schmitt; Megan K Olsen
Journal:  Front Psychol       Date:  2017-09-11

5.  Follow-up of a healthy lifestyle education program (the EdAl study): four years after cessation of randomized controlled trial intervention.

Authors:  Elisabet Llauradó; Lucia Tarro; David Moriña; Magaly Aceves-Martins; Montse Giralt; Rosa Solà
Journal:  BMC Public Health       Date:  2018-01-05       Impact factor: 3.295

6.  Determining Trends and Factors Associated with Self-Reported Physical Activity among Adolescents in Rural North Carolina.

Authors:  Sina Kazemzadeh; Chloe E Opper; Xiangming Fang; Suzanne Lazorick
Journal:  Int J Environ Res Public Health       Date:  2022-09-10       Impact factor: 4.614

7.  Satisfaction and attrition in paediatric weight management.

Authors:  J A Skelton; S Martin; M B Irby
Journal:  Clin Obes       Date:  2016-01-27

8.  Impact of Body Mass Index, Socioeconomic Status, and Bedtime Technology Use on Sleep Duration in Adolescents.

Authors:  Frederick Stine; David N Collier; Xiangming Fang; Kelsey Ross Dew; Suzanne Lazorick
Journal:  Clin Pediatr (Phila)       Date:  2021-09-25       Impact factor: 1.168

  8 in total

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