Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program
Open accessAbstract
OBJECTIVE: We assessed whether changes in metabolic syndrome (MetS) severity during the treatment of prediabetes are associated with reduced risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS: We analyzed data from the Diabetes Prevention Program (DPP) for 2,476 adults in 1996–1999 with prediabetes randomized to receive treatment with lifestyle modification, metformin, or placebo for 2–3 years and followed through 2014 for T2DM and CVD outcomes. We calculated effect sizes from baseline in a MetS severity z score (MetS-Z) and the individual MetS components, and assessed relationships between 1-year effect size and incident T2DM and CVD using hazard ratios (HRs) and mediation analysis. RESULTS: Baseline MetS-Z and its components were associated with risk of incident T2DM and CVD. During year 1 of intervention, MetS-Z and its components decreased most with lifestyle modification, followed by treatment with metformin and placebo. Risk of T2DM within 1–5 years was most strongly associated with 1-year changes in MetS-Z and waist circumference (both HRs for a 1 SD increase = 1.80), whereas the risk of CVD was associated with a 1-year change in MetS-Z, glucose, and systolic blood pressure. In mediation analyses, the effect of lifestyle modification on T2DM risk was mediated by 1-year changes in MetS-Z, waist circumference, glucose, and triglycerides, whereas the effect of metformin was mediated by MetS-Z and glucose. CONCLUSIONS: Changes in these risk indicators of MetS severity during intervention in the DPP reflect altered disease risk and may help in tracking earlier responses to treatment and in motivating patients.
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The pool of people at risk of type 2 diabetes is large, and it is not feasible or safe to treat all of them aggressively with all tools of obesity medicine.
“The at-risk pool of persons at risk of T2D is large,878,879 and it is not feasible or safe to treat all persons aggressively using all the tools of obesity medicine.”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [879]
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References 44 · Cited by 92
- Authors
- DeBoer, M. D., Filipp, S. L., & Gurka, M. J.
- Affiliations
- University of Virginia (US)
- University of Florida (US)
- Corresponding author
- Filipp, Stephanie L.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2018-10-15
- Volume
- 41
- Issue
- 11
- Pages
- 2421-2430
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC6196828
- OpenAlex
- W2894614049
- Cited by
- 92
- References
- 44
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 17 · 2023: 10 · 2022: 11 · 2021: 8 · 2020: 9 · 2019: 8
- FWCI
- 4.97
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes Care (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (1R01-HL-120960)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- metabolic syndrome, prediabetes, type 2 diabetes prevention, cardiovascular disease, Diabetes Prevention Program, lifestyle modification, metformin, waist circumference, glucose, triglycerides, systolic blood pressure, mediation analysis, treatment response monitoring
- MeSH terms
- Troglitazone, Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, Humans, Life Style, Male, Metformin, Middle Aged, Prediabetic State, Prognosis, Research Design, Risk Factors, Severity of Illness Index, Program Evaluation, Disease Progression, Metabolic Syndrome, Risk Reduction Behavior, Waist Circumference
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