Cited by 53Health Systems, Economic Evaluations, Quality of LifeDiabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular Prevention

Value of Lifestyle Intervention to Prevent Diabetes and Sequelae

Open access
Dall, Timothy M., Storm, Michael V., Semilla, April P., Wintfeld, Neil, O’Grady, Michael, Venkat Narayan, K.M.·2015·American Journal of Preventive Medicine

Abstract

BACKGROUND: The Community Preventive Services Task Force recommends combined diet and physical activity promotion programs for people at increased risk of type 2 diabetes, as evidence continues to show that intensive lifestyle interventions are effective for overweight individuals with prediabetes. PURPOSE: To illustrate the potential clinical and economic benefits of treating prediabetes with lifestyle intervention to prevent or delay onset of type 2 diabetes and sequelae. METHODS: This 2014 analysis used a Markov model to simulate disease onset, medical expenditures, economic outcomes, mortality, and quality of life for a nationally representative sample with prediabetes from the 2003-2010 National Health and Nutrition Examination Survey. Modeled scenarios used 10-year follow-up results from the lifestyle arm of the Diabetes Prevention Program and Outcomes Study versus simulated natural history of disease. RESULTS: Over 10 years, estimated average cumulative gross economic benefits of treating patients who met diabetes screening criteria recommended by the ADA ($26,800) or USPSTF ($24,700) exceeded average benefits from treating the entire prediabetes population ($17,800). Estimated cumulative, gross medical savings for these three populations averaged $10,400, $11,200, and $6,300, respectively. Published estimates suggest that opportunistic screening for prediabetes is inexpensive, and lifestyle intervention similar to the Diabetes Prevention Program can be achieved for ≤$2,300 over 10 years. CONCLUSIONS: Lifestyle intervention among people with prediabetes produces long-term societal benefits that exceed anticipated intervention costs, especially among prediabetes patients that meet the ADA and USPSTF screening guidelines.

Integrity signals

Registry

Crossref · 10.1016/j.amepre.2014.10.003

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dall, T. M., Storm, M. V., Semilla, A. P., Wintfeld, N., O’Grady, M., & Venkat Narayan, K. M.
Affiliations
University of Chicago (US)
Corresponding author
Dall, Timothy M.
Venue
American Journal of Preventive Medicine
Publisher
Elsevier BV
Published
2015-03
Volume
48
Issue
3
Pages
271-280
ISSN
0749-3797 (ISSN-L)
OpenAlex
W2045693023
Cited by
53
References
64
Citations by year
2026: 5 · 2025: 1 · 2024: 12 · 2022: 6 · 2021: 3 · 2020: 6 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 9 · 2015: 1 · 2014: 1
FWCI
11.60
Type
journal article
Language
en
Open access
Locations
  • American Journal of Preventive Medicine (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Novo Nordisk
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Keywords
prediabetes, lifestyle intervention, type 2 diabetes prevention, economic benefits, diabetes screening, Diabetes Prevention Program, Markov model, health care costs, quality of life, mortality
MeSH terms
Blood Pressure, Cholesterol, Diabetes Mellitus, Type 2, Diet, Health Expenditures, Female, Glycated Hemoglobin, Humans, Life Style, Male, Markov Chains, Mass Screening, Middle Aged, Nutrition Surveys, Prediabetic State, Quality of Life, Risk Factors, Health Behavior, Exercise, Comorbidity, Body Mass Index

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review