Evidence map›Paper›PMID 37852767›Full record

ArticleBMJ open2023

Prevalence and correlates of pre-diabetes in Sub-Saharan Africa using Demographic and Health Survey Data: a cross-sectional study.

Rebekah J Walker, Abigail M Thorgerson, Alice Yan, Joni S Williams, Jennifer A Campbell, Aprill Z Dawson, Vincent Renta, Leonard E Egede

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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.

Rebekah J WalkerDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Abigail M ThorgersonCenter for Advancing Population Science, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Alice YanDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Joni S WilliamsDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Jennifer A CampbellDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Aprill Z DawsonDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Vincent RentaCenter for Advancing Population Science, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Leonard E EgedeDivision of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA legede@mcw.edu.ORCID 0000-0003-1546-1515

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DM Diversity SupplementR01DK118038 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.5M
Financial Incentives And Nurse Coaching to Enhance Diabetes Outcomes (FINANCE-DM) - Diversity SupplementR01DK120861 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.4M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM) - Diversity SupplementR01MD013826 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E., WALKER, REBEKAH J · 2019 to 2023
$3.4M
Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for ChangeR01MD017574 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.5M
Impact of structural racism on hospital/clinic closures, community assets, and health outcomes in urban communitiesR01MD018012 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.4M
Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS K24 DK093699NIDDK NIH HHS R01 DK118038NIDDK NIH HHS R01 DK120861NIMHD NIH HHS R01 MD013826NIMHD NIH HHS R01 MD017574NIMHD NIH HHS R01 MD018012
6 · The paper itself

Abstract

objectiveThe objective is to investigate the prevalence of pre-diabetes in Namibia and South Africa and to determine sociodemographic correlates of disease using population data.

designCross-sectional study.

settingDemographic and Health Survey for emerging (Namibia) and established (South Africa) economies in Sub-Saharan Africa collected laboratory data that allowed determination of pre-diabetes status.

participants3141 adults over age 18 from the 2013 Namibia survey, weighted to a population of 2176, and 4964 adults over age 18 from the 2016 South Africa survey, weighted to a population of 4627 had blood glucose/glycated haemoglobin (HbA1c) and diabetes information were included in the analysis. OUTCOME MEASURES: Pre-diabetes was defined as not being diagnosed with diabetes and having a blood sugar measurement of 100-125 mg/dL in Namibia or an HbA1c measurement of 5.7%-6.4%. Logistic models were run for each country separately, with pre-diabetes as the outcome and a series of sociodemographic variables (age, gender, urban/rural residence, number of children, employment status, wealth index, education level, and ethnicity (in South Africa) or religion (in Namibia)) entered as variables to investigate the independent relationship of each.

resultsThe weighted prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Rural residence was independently associated with higher odds of pre-diabetes in Namibia (1.47, 95% CI 1.05 to 2.06), while both younger age (0.98, 95% CI 0.97 to 0.99) and urban residence (0.80, 95% CI 0.66 to 0.99) were independently associated with odds of pre-diabetes in South Africa.

conclusionsThe prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Correlates of pre-diabetes differed between the two countries with rural residents having higher odds of pre-diabetes in Namibia and urban residents with higher odds in South Africa. Aggressive interventions, including population level education and awareness programmes, and individual level education and lifestyle interventions that account for country-specific contextual factors are urgently needed to prevent progression to diabetes.

Indexed as

Diabetes MellitusPrediabetic StateAdolescentAdultChildCross-Sectional StudiesGlycated HemoglobinHumansPrevalenceSouth AfricaGlycated HemoglobinDiabetes & endocrinologyGeneral diabetesPUBLIC HEALTH

Identifiers

PMID37852767
PMCPMC10603485

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.