Evidence map›Paper›PMID 32702350›Full record

ArticlePreventive medicine2020

Risk factor control among Black and White adults with diabetes onset in older adulthood: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Jalal Uddin, Gargya Malla, Andrea L Cherrington, Sha Zhu, Doyle M Cummings, Olivio J Clay, Todd M Brown, Loretta T Lee, Ruth W Kimokoti, Mary Cushman and 2 more

Abstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jalal UddinDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Gargya MallaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Andrea L CherringtonDepartment of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Sha ZhuDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Doyle M CummingsDepartment of Family Medicine and Public Health, Brody School of Medicine, East Carolina University, Greenville, NC, USA.
Olivio J ClayDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Todd M BrownDepartment of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA.
Loretta T LeeSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Ruth W KimokotiDepartment of Nutrition, College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, MA, USA.
Mary CushmanDepartment of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Monika M SaffordDepartment of Medicine, Weill Cornell Medical College of Cornell University, New York, NY, USA.
April P CarsonDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: apcarson@uab.edu.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Prioritizing county-level social determinants that contribute to the greater burden of diabetes and hypertension in the USU01DP006302 · DP · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CARSON, APRIL P · 2017 to 2021
$3.6M
ACL HHS U01DP006302NCCDPHP CDC HHS U01 DP006302NIDDK NIH HHS P30 DK079626NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

The objective of this study was to determine whether attainment of clinical and lifestyle targets varied by race and sex among adults with diabetes onset in older adulthood. This study included 1420 black and white adults from the REGARDS study without diabetes at baseline (2003-07) but with diabetes onset at the follow-up exam (2013-16). Attainment of clinical targets (A1c <8%; blood pressure < 140/90 mmHg; and statin use) and lifestyle targets (not smoking; physical activity≥ 4 times/week; and moderate/no alcohol use) was assessed at the follow-up exam. Modified Poisson regression was used to obtain prevalence ratios (PR) for meeting clinical and lifestyle targets stratified by race and sex, separately. The mean age was 71.5 years, 53.6% were female, and 46.1% were black. The majority were aware of their diabetes status (85.7%) and used oral or injectable hypoglycemic medications (64.8%). Overall, 39.4% met all 3 clinical targets and 18.8% met all 3 lifestyle targets. Meeting A1c and blood pressure targets were similar by race and sex. Statin use was more prevalent for men than women among white adults (PR = 1.13; 95% CI = 0.99-1.29) and black adults (PR = 1.23; 95% CI = 1.06-1.43). For lifestyle factors, the non-smoking prevalence was similar by race and sex, while white men were more likely than white women to be physically active. Although the attainment of each clinical and lifestyle target separately was generally high among adults with diabetes onset in older adulthood, race and sex differences were apparent. Comprehensive management of clinical and lifestyle factors in people with diabetes remains suboptimal.

Indexed as

Diabetes MellitusStrokeAdultAgedBlack or African AmericanFemaleHumansMaleRace FactorsRisk FactorsClinical factorsDiabetesEpidemiologyLifestyle factorsRaceSex

Identifiers

PMID32702350
PMCPMC7494649

What OpenQuestion holds

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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.