--- title: "Short-term wt loss patterns in DPP intervention. | Sutter Health" description: "To examine weight loss patterns and predictors among participants in a primary care-based translation study of the Diabetes Prevention Program lifestyle intervention." url: "https://www.sutterhealth.org/research/publications/short-term-wt-loss-patterns-in-dpp-intervention-1055312751" --- 1. [Home](https://www.sutterhealth.org/) / 2. [Research](https://www.sutterhealth.org/research) / 3. [Research publications](https://www.sutterhealth.org/research/publications) / 4. Short-term wt loss patterns in DPP intervention. # Short-term weight loss patterns, baseline predictors, and longer-term follow-up within a randomized controlled trial. Yank V, Xiao L, Wilson SR, Stafford RS, Rosas LG, & Ma J. _Obesity (Silver Spring). 22(1):45-51. doi: 10.1002/oby.20510. Epub 2013 Oct 15._ 2014-01-01 ## Abstract OBJECTIVE: To examine weight loss patterns and predictors among participants in a primary care-based translation study of the Diabetes Prevention Program lifestyle intervention. DESIGN AND METHODS: Cluster analysis identified short-term (12-week) weight loss patterns among 72 intervention participants. Analysis of variance assessed cluster differences in weight loss maintenance at 15-month follow-up. Discriminant analysis identified baseline characteristics that best differentiated between clusters. RESULTS: Participants had baseline mean (SD) age of 55.0 (10.8) years and BMI of 31.9 (5.2) kg/m(2). Cluster analysis identified three short-term weight loss patterns: modest (n = 15; 21%), moderate-and-steady (n = 43; 60%), and substantial-and-early (n = 14; 19%). Only participants with the latter two patterns achieved clinically significant (≥5%) short-term weight loss and maintained it at 15 months. On discriminant analysis, the modest cluster was most differentiated from other clusters by high friend encouragement for dietary change, high obesity-related problems, and low physical well-being. The moderate-and-steady cluster was differentiated by lower physical activity, family encouragement, and depression symptoms. CONCLUSION: Results provided insight into the heterogeneity of response to an effective lifestyle intervention by identifying short-term weight loss patterns and their baseline predictors and relationship to 15-month success. If replicated, results may help tailor strategies for participant subgroups in weight-loss programs. [PubMed abstract](http://www.ncbi.nlm.nih.gov/pubmed/23740619) ## Research topics - [Diabetes, Insulin Resistance and Metabolic Syndrome](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Diabetes%2C+Insulin+Resistance+and+Metabolic+Syndrome%5C%22%22) - [Disease Management](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Disease+Management%5C%22%22) - [Health Services](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Health+Services%5C%22%22) - [Obesity](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Obesity%5C%22%22) ## Related publications [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) - Publication ### [Two-year weight-loss maintenance in primary care-based Diabetes Prevention Program lifestyle interventions.](https://www.sutterhealth.org/research/publications/two-yr-wt-loss-maintenance-in-diabetes-program-1055312744) Xiao L, Yank V, Wilson SR, Lavori PW, Ma J. Nutr Diabetes. 3:e76. doi: 10.1038/nutd.2013.17. 2013 Jun 24 - Publication ### [Baseline reach and adoption characteristics in a randomized controlled trial of two weight loss interventions translated into primary care: A structured report of real-world applicability](https://www.sutterhealth.org/research/publications/weight-loss-interventions-translated-into-pc-1055312588) Yank V, Stafford RS, Rosas LG, Ma J. Contemp Clin Trials. 34(1):126-35. doi: 10.1016/j.cct.2012.10.007. Epub 2012 Oct 31. 2013 Jan 01 - Publication ### [Translating an evidence-based lifestyle intervention program into primary care: lessons learned.](https://www.sutterhealth.org/research/publications/translate-lifestyle-program-in-primary-care-1055312592) Blonstein AC, Yank V, Stafford RS, Wilson SR, Rosas LG, Ma J. Health Promot Pract. 14(4):491-7. doi: 10.1177/1524839913481604. Epub 2013 Mar 28. 2013 Jul 01 - Publication ### [Barriers and facilitators to real-world implementation of the Diabetes Prevention Program in large healthcare systems: lifestyle coach perspectives.](https://www.sutterhealth.org/research/publications/barriers-facilitators-diabetes-prev-program-implementation-1055312731) Halley MC, Petersen J, Nasrallah C, Szwerinski N, Romanelli R, Azar KMJ. J Gen Intern Med. doi: 10.1007/s11606-020-05744-y. \[Epub ahead of print\] 2020 Apr 06 - Publication ### [Research Aimed at Improving Both Mood and Weight (RAINBOW) in Primary Care: A Type 1 hybrid design randomized controlled trial.](https://www.sutterhealth.org/research/publications/research-aimed-at-improving-both-mood-and-wt-1055312852) Ma J, Yank V, Lv N, Goldhaber-Fiebert JD, Lewis MA, Kaye Kramer M, Snowden MB, Rosas LG, Xiao L, Blonstein AC. Contemp Clin Trials. 43:260-78. doi: 10.1016/j.cct.2015.06.010. Epub 2015 June 19. 2015 Jul 01 [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) ```json {"@context":"https://schema.org","@type":"MedicalOrganization","name":"Sutter Health","@id":"https://www.sutterhealth.org/#medicalorganization","url":"https://www.sutterhealth.org","logo":"https://www.sutterhealth.org/static/images/sutter-health-logo.svg","address":{"@type":"PostalAddress","streetAddress":"2200 River Plaza Drive","addressLocality":"Sacramento","addressRegion":"CA","postalCode":"95833","addressCountry":"US"},"areaServed":{"@type":"AdministrativeArea","name":"California"},"sameAs":["https://www.facebook.com/SutterHealth","https://www.instagram.com/sutterhealth/","https://x.com/SutterHealth","https://www.youtube.com/sutterhealth","https://www.linkedin.com/company/sutter-health","https://en.wikipedia.org/wiki/Sutter_Health"]} ``` ```json {"@context":"https://schema.org","@type":"BreadcrumbList","@id":"https://www.sutterhealth.org/research/publications/short-term-wt-loss-patterns-in-dpp-intervention-1055312751#breadcrumblist","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.sutterhealth.org/"},{"@type":"ListItem","position":2,"name":"Research","item":"https://www.sutterhealth.org/research"},{"@type":"ListItem","position":3,"name":"Research publications","item":"https://www.sutterhealth.org/research/publications"},{"@type":"ListItem","position":4,"name":"Short-term wt loss patterns in DPP intervention."}]} ``` ```json {"@context":"https://schema.org","@type":"MedicalScholarlyArticle","@id":"https://www.sutterhealth.org/research/publications/short-term-wt-loss-patterns-in-dpp-intervention-1055312751#medicalscholarlyarticle","name":"Short-term weight loss patterns, baseline predictors, and longer-term follow-up within a randomized controlled trial.","headline":"Short-term wt loss patterns in DPP intervention.","abstract":"OBJECTIVE: To examine weight loss patterns and predictors among participants in a primary care-based translation study of the Diabetes Prevention Program lifestyle intervention. DESIGN AND METHODS: Cluster analysis identified short-term (12-week) weight loss patterns among 72 intervention participants. Analysis of variance assessed cluster differences in weight loss maintenance at 15-month follow-up. Discriminant analysis identified baseline characteristics that best differentiated between clusters. RESULTS: Participants had baseline mean (SD) age of 55.0 (10.8) years and BMI of 31.9 (5.2) kg/m(2). Cluster analysis identified three short-term weight loss patterns: modest (n = 15; 21%), moderate-and-steady (n = 43; 60%), and substantial-and-early (n = 14; 19%). Only participants with the latter two patterns achieved clinically significant (≥5%) short-term weight loss and maintained it at 15 months. On discriminant analysis, the modest cluster was most differentiated from other clusters by high friend encouragement for dietary change, high obesity-related problems, and low physical well-being. The moderate-and-steady cluster was differentiated by lower physical activity, family encouragement, and depression symptoms. CONCLUSION: Results provided insight into the heterogeneity of response to an effective lifestyle intervention by identifying short-term weight loss patterns and their baseline predictors and relationship to 15-month success. 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