Evidence map›Paper›PMID 32629937›Full record

ArticleInternational journal of environmental research and public health2020

Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults.

Sean Mahoney, Adam Bradley, Logan Pitts, Stephanie Waletzko, Sheria G Robinson-Lane, Timothy Fairchild, Donna J Terbizan, Ryan McGrath

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sean MahoneyDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.
Adam BradleyDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.
Logan PittsDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.ORCID 0000-0003-0937-1695
Stephanie WaletzkoDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.
Sheria G Robinson-LaneSchool of Nursing, University of Michigan, Ann Arbor, MI 48109, USA.
Timothy FairchildCentre for Molecular Medicine & Innovative Therapeutics, Murdoch University, 6150 Perth, Australia.
Donna J TerbizanDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.
Ryan McGrathDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA.

Funding

Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
NIA NIH HHS P30 AG053760
6 · The paper itself

Abstract

Over a third of adults in the United States have prediabetes, and many of those with prediabetes will progress to type 2 diabetes within 3-5 years. Health insurance status may factor into a proper diagnosis of prediabetes and diabetes. This study sought to determine the associations between health insurance and undiagnosed prediabetes and diabetes in a national sample of American adults. Publicly available data from 13,029 adults aged 18-64 years from the 2005-2016 waves of the National Health and Nutrition Examination Survey were analyzed. Health insurance type (Medicaid, Private, Other, None) was self-reported. Prediabetes and diabetes status were assessed with measures of self-report, glycohemoglobin, fasting plasma glucose, and two-hour glucose. Covariate-adjusted logistic models were used for the analyses. Overall, 5976 (45.8%) participants had undiagnosed prediabetes, while 897 (6.8%) had undiagnosed diabetes. Having health insurance was associated with decreased odds ratios for undiagnosed prediabetes: 0.87 (95% confidence interval (CI: 0.79, 0.95)) for private insurance, 0.84 (CI: 0.73, 0.95) for other insurance, and 0.78 (CI: 0.67, 0.90) for Medicaid. Moreover, having private health insurance was associated with 0.82 (CI: 0.67, 0.99) decreased odds for undiagnosed diabetes. Health insurance coverage and screening opportunities for uninsured individuals may reduce prediabetes and diabetes misclassifications.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Insurance CoverageInsurance, HealthPrediabetic StateAdolescentAdultFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesYoung Adultdelivery of healthcarehealthcare disparitiesmandatory testingsocioeconomic factors

Identifiers

PMID32629937
PMCPMC7369944

What OpenQuestion holds

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Registered trials

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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.