ArticlePreventing chronic disease2009
Prevalence of self-reported prediabetes among adults participating in a community-based health awareness program, New York State.
Article in Preventing chronic disease, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Once-Weekly Subcutaneous Semaglutide 2.4 mg Injection is Cost-Effective for Weight Management in Spain.Advances in therapy · 2026Article
- Assessment of the Potential Clinical and Economic Impact of Weight Loss in the Adult Population with Obesity and Associated Comorbidities in Spain.Advances in therapy · 2025Article
- A community-based prediabetes knowledge assessment among Saudi adults in Al-Ahsa region, 2018.Journal of public health research · 2021Article
- The Association Between Pre-Diabetes With Body Mass Index and Marital Status in an Iranian Urban Population.Global journal of health science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe purpose of this study was to assess crude, age-adjusted, and risk-factor-specific prevalences of self-reported prediabetes and to identify factors associated with self-reported prediabetes in an adult population.
methodsData were collected through questionnaires completed by a racially diverse sample of diabetes-free adult participants in the statewide community-based wellness and diabetes awareness program in New York State during 2006 (N = 2,572). Prediabetes was determined by the affirmative answer to the question, "Have you ever been told by a doctor that you have prediabetes?"
resultsThe overall crude prevalence of self-reported prediabetes was 9.1%, and the age-adjusted prevalence was 7.6%. The age-adjusted prevalence of prediabetes was significantly lower among non-Hispanic blacks (4.2%) and significantly higher among American Indians (22.4%), compared with the prevalence among non-Hispanic whites (7.3%). The prevalence of self-reported prediabetes was uniformly higher among older (aged >or=45 years) adults than younger (aged <45 years) adults, overall and in each racial/ethnic group. In all age and racial/ethnic groups, the prevalence significantly increased with the number of additional risk factors. The best fit multivariate logistic regression model identified that self-reported prediabetes was associated with family history of diabetes (odds ratio [OR], 3.65), body mass index 25.0 kg/m(2) or higher (OR, 2.79), age 45 years or older (OR, 2.77), and having health insurance (OR, 2.38).
conclusionThis study found that adults who were at high risk for diabetes and had health insurance were more likely to report having prediabetes. Community-based diabetes prevention needs to consider strategies to increase detection of prediabetes in high-risk uninsured people and to raise general awareness of prediabetes.
Indexed as
Identifiers
19288991PMC2687854W2150717055What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.