OBJECTIVE: Obesity is highly prevalent among American adults and has negative health and psychosocial consequences. The purpose of this article was to qualitatively review studies that used technology-based interventions for weight loss and to identify specific components of these interventions that are effective in facilitating weight loss. MATERIALS AND METHODS: We conducted a narrow, qualitative review, focusing on articles published in the last 10 years that used an experimental or pre/posttest design and used a technology-based intervention for weight loss. RESULTS: Among the 21 studies reviewed, we identified the following five components that we consider to be crucial in technology-based weight-loss interventions that are successful in facilitating weight loss: self monitoring, counselor feedback and communication, social support, use of a structured program, and use of an individually tailored program. CONCLUSIONS: Short-term results of technologically driven weight-loss interventions using these components have been promising, but long-term results have been mixed. Although more longitudinal studies are needed for interventions implementing these five components, the interface of technology and behavior change is an effective foundation of a successful, short-term weight-loss program and may prove to be the basis of long-term weight loss.
OBJECTIVE: Obesity is highly prevalent among American adults and has negative health and psychosocial consequences. The purpose of this article was to qualitatively review studies that used technology-based interventions for weight loss and to identify specific components of these interventions that are effective in facilitating weight loss. MATERIALS AND METHODS: We conducted a narrow, qualitative review, focusing on articles published in the last 10 years that used an experimental or pre/posttest design and used a technology-based intervention for weight loss. RESULTS: Among the 21 studies reviewed, we identified the following five components that we consider to be crucial in technology-based weight-loss interventions that are successful in facilitating weight loss: self monitoring, counselor feedback and communication, social support, use of a structured program, and use of an individually tailored program. CONCLUSIONS: Short-term results of technologically driven weight-loss interventions using these components have been promising, but long-term results have been mixed. Although more longitudinal studies are needed for interventions implementing these five components, the interface of technology and behavior change is an effective foundation of a successful, short-term weight-loss program and may prove to be the basis of long-term weight loss.
Authors: Kendra Rothert; Victor J Strecher; Laurie A Doyle; William M Caplan; Jodi S Joyce; Holly B Jimison; Lya M Karm; Adrienne D Mims; Mark A Roth Journal: Obesity (Silver Spring) Date: 2006-02 Impact factor: 5.002
Authors: Caroline R Richardson; Beverley B Brown; Sharon Foley; Kathleen S Dial; Julie C Lowery Journal: J Med Internet Res Date: 2005-11-17 Impact factor: 5.428
Authors: Aine McConnon; Sara Fl Kirk; Jennie E Cockroft; Emma L Harvey; Darren C Greenwood; James D Thomas; Joan K Ransley; Laura Bojke Journal: BMC Health Serv Res Date: 2007-12-19 Impact factor: 2.655
Authors: Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn Journal: Circulation Date: 2015-08-13 Impact factor: 29.690
Authors: Isabel de la Torre Díez; Begoña Garcia-Zapirain; Miguel López-Coronado; Joel J P C Rodrigues; Carlos Del Pozo Vegas Journal: J Med Syst Date: 2017-05-29 Impact factor: 4.460
Authors: David M Levine; Stella Savarimuthu; Allison Squires; Joseph Nicholson; Melanie Jay Journal: J Gen Intern Med Date: 2014-08-19 Impact factor: 5.128
Authors: Eleanor B Tate; Donna Spruijt-Metz; Gillian O'Reilly; Maryalice Jordan-Marsh; Marientina Gotsis; Mary Ann Pentz; Genevieve F Dunton Journal: Transl Behav Med Date: 2013-12 Impact factor: 3.046