Evidence map›Paper›PMID 32593731›Full record

ArticlePreventive medicine2020

Citizenship and health insurance status predict glycemic management: NHANES data 2007-2016.

Eileen R Chasens, Monica Dinardo, Christopher C Imes, Jonna L Morris, Betty Braxter, Kyeongra Yang

Open access · hybridAbstract read
In one paragraph

Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Citizenship Matters: Non-Citizen COVID-19 Mortality Disparities in New York and Los Angeles.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Review
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

6 authors at 3 institutions in 1 country.

Eileen R ChasensSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States of America. Electronic address: chasense@pitt.edu.
Monica DinardoVA Pittsburgh Healthcare System, Pittsburgh, PA, United States of America.
Christopher C ImesSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States of America.
Jonna L MorrisSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States of America.
Betty BraxterSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States of America.
Kyeongra YangSchool of Nursing, Rutgers, The State University of New Jersey, Newark, NJ, United States of America.
University of Pittsburgh · USRutgers, The State University of New Jersey · USVA Pittsburgh Healthcare System · US

Funding

Self-Management, Insomnia, and Glucose Control in Adults with DiabetesK24NR016685 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHASENS, EILEEN R · 2017 to 2019
$367k
NINR NIH HHS K24 NR016685
6 · The paper itself

Abstract

The prevalence of diabetes in United States (US) immigrants is higher than the general population. Non-citizenship and lack of health insurance have been associated with increased health risks including diabetes, but previous US studies were done in non-representative samples and did not examine the effect on glycemic management. The purpose of this study was to compare demographic, metabolic, and behavioral risk factors for increased blood glucose including citizenship and health insurance status, and determine predictors of poor glycemic management (A1C ≥ 8.0%). Logistic regression was used to analyze data from the 2007-2016 National Health and Nutrition Examination Surveys (NHANES) of persons with diabetes and available citizenship data ages 30 to 70 years (N = 2702), excluding persons with A1C < 5% and pregnant women. Results represent the weighted sample. Among participants, 92% indicated citizenship by birth (81%) or naturalization (11%). Insured rates increased from 83% to 91% between 2007 and 2008 and 2015-2016 (p < .001). Citizenship was positively associated with insurance status, higher income and education, better diet, increased smoking, and more sedentary hours (ps < .05). Non- citizens (OR: 1.74, 95% CI: 1.20-2.51) and uninsured persons (OR: 1.99, 95% CI: 1.53-2.59) were nearly twice as likely to have poor glycemic management than US citizens by naturalization and insured individuals respectively. We conclude that citizenship and absence of health insurance negatively impacts diabetes management. Policy decisions are needed that address primary and secondary prevention strategies for individuals without citizenship and health insurance to reduce diabetes burden in the US.

Indexed as

Blood GlucoseInsurance, HealthAdultAgedFemaleHumansInsurance CoverageMedically UninsuredMiddle AgedNutrition SurveysPregnancyUnited StatesBlood GlucoseCitizenshipGlycemic controlHealth insuranceNHANES

Identifiers

PMID32593731
PMCPMC7494527
OpenAlexW3037904884

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.