Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 287

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

The Prevalence and Pattern of Complementary and Alternative Medicine Use in Individuals With Diabetes

Egede, Leonard E., Ye, Xiaobou, Zheng, Deyi, Silverstein, Marc D.·2002·Diabetes Care

Abstract

OBJECTIVE—This study compared the prevalence and pattern of use of complementary and alternative medicine (CAM) in individuals with and without diabetes and identified factors associated with CAM use. RESEARCH DESIGN AND METHODS—The 1996 Medical Expenditure Panel Survey, a nationally representative sample of the U.S. noninstitutionalized civilian population, was analyzed. Estimates of CAM use in individuals with common chronic conditions were determined, and estimates of CAM use in patients with diabetes were compared with that in individuals with chronic medical conditions. Patterns of use and costs of CAM use in patients with diabetes were compared with those in nondiabetic individuals. Multiple logistic regression was used to determine independent predictors of CAM use in individuals with diabetes, controlling for age, sex, race/ethnicity, household income, educational level, and comorbidity. RESULTS—Individuals with diabetes were 1.6 times more likely to use CAM than individuals without diabetes (8 vs. 5%, P < 0.0001). In the general population, estimates of CAM use were not significantly different across selected chronic medical conditions, but diabetes was an independent predictor of CAM use. Among individuals with diabetes, older age (≥65 years) and higher educational attainment (high school education or higher) were independently associated with CAM use. CONCLUSIONS—Diabetes is an independent predictor of CAM use in the general population and in individuals with diabetes. CAM use is more common in individuals aged ≥65 years and those with more than high school education.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/diacare.25.2.324

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 20 references

Cited by

See all 287

Metadata

Authors
Egede, L. E., Ye, X., Zheng, D., & Silverstein, M. D.
Venue
Diabetes Care
Published
2002-02-01
Volume
25
Issue
2
Pages
324-329
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2158113243
Cited by
287
References
20
FWCI
22.59
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Prevalence and Pattern of Complementary and Alternative Medicine Use in Individuals With Diabetes. https://app.cochat.ai/papers/10.2337/diacare.25.2.324
The paper
Egede, L. E., Ye, X., Zheng, D., & Silverstein, M. D. (2002). The Prevalence and Pattern of Complementary and Alternative Medicine Use in Individuals With Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.25.2.324

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.