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Obesity prevention in defined (high school) populations

Abstract

Background:

A challenge for the widespread dissemination of Internet-based programs designed to produce weight maintenance/loss in defined (high school) populations is to adapt them to local needs and interests, whereas demonstrating effectiveness and salience for both universal and targeted populations.

Objective:

The objective of this study is to examine the feasibility of providing an inexpensive, Internet-based universal (healthy weight regulation) and targeted (weight maintenance/loss) health program to all ninth-grade students in a high school serving a lower socioecnomic status, diverse population.

Design:

A total of 118 normal-weight and 64 overweight/obese students in the same ninth-grade class completed a baseline screen and were allocated to a healthy weight regulation program or a weight-loss maintenance program. Both groups simultaneously received a 10-week Internet-based intervention. Program implementation required minimal teacher time. Measurement included self-reported fruit, vegetable and high-fat/-calorie food consumption, self-reported change in body mass index (BMI), weight and shape concerns, as well as program engagement.

Results:

The program was successfully implemented in nine classes, with minimal help from the investigators. There was a significant increase in self-reported consumption of fruits and vegetables (P=0.001). There was a significant reduction in self-reported BMI in the overweight/obese group (P=0.001). Students found the program helpful and engaging. There was a significant reduction in weight and shape concerns in the high-risk female students, consistent with a reduced risk for the development of an eating disorder. Providing a universal and targeted online healthy weight regulation program to ninth-grade students is feasible and inexpensive. The results suggest the program can serve as ‘core’ for future studies using adaptive, continuous quality-improvement designs.

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References

  1. An JY, Hayman LL, Park YS, Dusaj TK, Ayres CG . Web-based weight management programs for children and adolescents: a systematic review of randomized controlled trial studies. ANS Adv Nurs Sci 2009; 32: 222–240.

    Article  Google Scholar 

  2. Tate DF . Application of innovative technologies in the prevention and treatment of overweight in children and adolescents. Handbook of Childhood and Adolescent Obesity Issues in Clinical Child Psychology. Vol. VI. SpringerLink: New York City, 2009, pp 387–404.

    Google Scholar 

  3. Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA . A behavior change model for Internet interventions. Ann Behav Med 2009; 38: 18–27.

    Article  Google Scholar 

  4. Glasgow RE, Lichtenstein E, Marcus AC . Why don’t we see more translation of health promotion research in practice: Rethinking the efficacy-to-effectiveness transition. Am J Pub Health 2003; 9: 1261–1267.

    Article  Google Scholar 

  5. Collins LM, Murphy SA, Bierman KL . A conceptual framework for adaptive preventive interventions. Prev Sci 2004; 5: 185–196.

    Article  Google Scholar 

  6. Nair V, Strecher V, Fagerlin A, Ubel P, Resnicow K, Murphy S et al. Screening experiments and the use of fractional factorial designs in behavioral intervention research. Am J Public Health 2008; 98: 1354–1359.

    Article  Google Scholar 

  7. Brown CH, Ten Have TR, Jo B, Dagne G, Wyman PA, Muthén B et al. Adaptive designs for randomized trials in public health. Annu Rev Public Health 2009; 30: 1–2.

    Article  Google Scholar 

  8. Brener ND, Collins JL, Kann L, Warren CW, Williams BI . Reliability of the Youth Risk Behavior Survey Questionnaire. Am J Epidemiol 1995; 141: 575–580.

    Article  CAS  Google Scholar 

  9. Jacobi C, Abascal L, Taylor CB . Screening for eating disorders and high-risk behavior: Caution. Int J Eat Disord 2004; 36: 280–295.

    Article  Google Scholar 

  10. Doyle AC, Goldschmidt A, Huang C, Winzelberg AJ, Taylor CB, Wilfley DE . Reduction of overweight and eating disorder symptoms via the Internet in adolescents: A randomized controlled trial. J Adol Health 2008; 43: 172–179.

    Article  Google Scholar 

  11. Jacobi C, Morris L, Beckers C, Bronisch-Holtze J, Winter J, Winzelberg AJ et al. Maintenance of internet-based prevention: a randomized controlled trial. Int J Eat Disord 2007; 40: 114–119.

    Article  Google Scholar 

  12. Jones M, Luce KH, Osborne MI, Taylor K, Cunning D, Doyle AC et al. Randomized, controlled trial of an internet-facilitated intervention for reducing binge eating and overweight in adolescents. Pediatrics 2008; 121: 453–462.

    Article  Google Scholar 

  13. Luce KH, Osborne MI, Winzelberg AJ, Das S, Abascal LB, Celio AA et al. Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs. Int J Eat Disord 2005; 37: 220–226.

    Article  Google Scholar 

  14. Beinter A, Jacobi C, Taylor CB . Effects of an Internet-based prevention program for eating disorders in the U.S. and Germany—a meta-analytic review. Eur Rev Eat Dis 2012; 20: 1–8.

    Article  Google Scholar 

  15. Abascal L, Bruning Brown J, Winzelberg AJ, Dev P, Taylor CB . Combining universal and targeted prevention for school-based eating disorder programs. Int J Eat Disord 2004; 35: 1–9.

    Article  Google Scholar 

  16. Taylor CB, Bryson S, Luce KH, Cunning D, Doyle AC, Abascal LB et al. Prevention of eating disorders in at-risk college-age women. Arch Gen Psychiatry 2006; 63: 881–888.

    Article  Google Scholar 

  17. Fairburn CG . Overcoming Binge Eating. Guilford Press: New York, NY, 1995.

    Google Scholar 

  18. Saelens BE, Sallis JF, Wilfley DE, Patrick K, Cella JA, Buchta R . Weight control for overweight adolescents initiated in primary care. Obes Res 2002; 10: 22–32.

    Article  Google Scholar 

  19. Plowman SA, Sterling CL, Corbin CB, Meredith MD, Welk GJ, Morrow JR . The history of FITNESSGRAM®. J Phys Act Health 2006; 3: S5–S20.

    Article  Google Scholar 

Download references

Acknowledgements

CBT received grant sponsorship from the NIMIA (I RO1MH081124-01A2) and the NHMRC (003813); JW received grant sponsorship from the National Health and Medical Research Council of Australia Project Grant ID 1003813. We thank Healthmunk LLC for providing the software program, and the staff, faculty and students of Woodside High School for their help with this study. Publication of this supplement was partially supported by Nutrilite Health Institute with an unrestricted educational contribution to Stanford Prevention Research Center.

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Correspondence to C B Taylor.

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Competing interests

DEW received consulting fees from Jenny Craig/Nestle and United Health Group and grant support from Shire. The remaining authors declare no conflict of interest.

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Taylor, C., Taylor, K., Jones, M. et al. Obesity prevention in defined (high school) populations. Int J Obes Supp 2 (Suppl 1), S30–S32 (2012). https://doi.org/10.1038/ijosup.2012.8

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