The Healthy Living Partnerships to Prevent Diabetes Study
Open accessAbstract
Background Since the Diabetes Prevention Project (DPP) demonstrated that lifestyle weight-loss interventions can reduce the incidence of diabetes by 58%, several studies have translated the DPP methods to public health-friendly contexts. Although these studies have demonstrated short-term effects, no study to date has examined the impact of a translated DPP intervention on blood glucose and adiposity beyond 12 months of follow-up.Purpose To examine the impact of a 24-month, community-based diabetes prevention program on fasting blood glucose, insulin, insulin resistance as well as body weight, waist circumference, and BMI in the second year of follow-up.Design An RCT comparing a 24-month lifestyle weight-loss program (LWL) to an enhanced usual care condition (UCC) in participants with prediabetes (fasting blood glucose=95-125 mg/dL). Data were collected in 2007-2011; analyses were conducted in 2011-2012.Setting/participants 301 participants with prediabetes were randomized; 261 completed the study. The intervention was held in community-based sites.Intervention The LWL program was led by community health workers and sought to induce 7% weight loss at 6 months that would be maintained over time through decreased caloric intake and increased physical activity. The UCC received two visits with a registered dietitian and a monthly newsletter.Main outcome measures The main measures were fasting blood glucose, insulin, insulin resistance, body weight, waist circumference, and BMI.Results Intent-to-treat analyses of between-group differences in the average of 18- and 24-month measures of outcomes (controlling for baseline values) revealed that the LWL participants experienced greater decreases in fasting glucose (-4.35 mg/dL); insulin (-3.01 μU/ml); insulin resistance (-0.97); body weight (-4.19 kg); waist circumference (-3.23 cm); and BMI (-1.40), all p-values <0.01.Conclusions A diabetes prevention program administered through an existing community-based system and delivered by community health workers is effective at inducing significant long-term reductions in metabolic indicators and adiposity.
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Fourteen articles were not included in the meta-analysis because they provided insufficient data for analyses or because they reported outcomes from a trial already included in the analysis but with data from other follow-up times.
“Fourteen articles were not included in the meta-analysis because they provided insufficient data for analyses (i.e., did not report SEs for outcomes and authors did not respond to requests for these data) (23–27) or because these articles reported outcomes from a trial already included in the analysis but with data from other follow-up times (28–36).”
From Global diabetes prevention interventions: A systematic review and network meta-analysis of the real-world impact on incidence, weight, and glucose (2018) · cites this paper as [31]
The Healthy Living Partnerships to Prevent Diabetes Study, a DPP-like lifestyle weight-loss program over 2 years using community health workers, found that among 301 randomized patients, the intervention group achieved significant reductions in weight, BMI, waist circumference, glucose, insulin, and HOMA-IR compared with control subjects, with 46.5% achieving ≥5% weight loss and 21.3% achieving ≥
“The Healthy Living Partnerships to Prevent Diabetes Study implemented a DPP-like lifestyle weight-loss program over 2 years by using a local diabetes education program with community health workers, involving weekly visits over the first 6 months and twice monthly visits over the next 18 months (83).Among 301 randomized patients, the intervention group achieved significant reductions in weight, B”
From The CardioMetabolic Health Alliance (2015) · cites this paper as [83]
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- Authors
- Katula, J. A., Vitolins, M. Z., Morgan, T. M., Lawlor, M. S., Blackwell, C. S., Isom, S. P., Pedley, C. F., & Goff, D. C.
- Affiliations
- Wake Forest University (US)
- Wake Forest University Health Sciences (US)
- ORCID
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 44
- Issue
- 4
- Pages
- S324-S332
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC3731757
- OpenAlex
- W2154199383
- Cited by
- 127
- References
- 24
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 1 · 2023: 13 · 2022: 8 · 2021: 9 · 2020: 3 · 2019: 7 · 2018: 13 · 2017: 15 · 2016: 11 · 2015: 19 · 2014: 16 · 2013: 5
- FWCI
- 13.37
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R18DK069901)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- prediabetes, diabetes prevention, community health workers, community-based intervention, fasting blood glucose, insulin, insulin resistance, body weight, waist circumference, body mass index, adiposity, long-term follow-up
- MeSH terms
- Aged, Blood Glucose, Community Health Services, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Humans, Insulin Resistance, Life Style, Male, Middle Aged, Prediabetic State, Time Factors, Weight Loss, Body Mass Index, Treatment Outcome, Adiposity, Waist Circumference, Weight Reduction Programs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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