Evidence mapPaperPMID 38673397Full record

ArticleInternational journal of environmental research and public health2024

Independent Correlates of Glycemic Control among Adults with Diabetes in South Africa.

Abdulaziz Hamid, Aprill Z Dawson, Yilin Xu, Leonard E Egede

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

4 authors at 1 institution in 1 country.

Abdulaziz HamidDepartment of Medicine, Medical School, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Aprill Z DawsonDepartment of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA.ORCID 0000-0001-5610-9708
Yilin XuCenter for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0009-0007-7701-0417
Leonard E EgedeDepartment of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA.ORCID 0000-0003-1546-1515
Medical College of Wisconsin · US

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DMR01DK118038 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Leonard E. Egede · 2022 to 2023
$1.3M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM)R01MD013826 · NIMHD · MEDICAL COLLEGE OF WISCONSIN · PI Leonard E. Egede, Rebekah J Walker · 2022 to 2023
$1.3M
Joint Patient and Caregiver Intervention for Older African Americans with Poorly Controlled Type 2 Diabetes (Joint Home-DM-BAT)R21DK135965 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Aprill Dawson · 2023 to 2023
$597k
NIDDK NIH HHS 1R21DK135965-01NIDDK NIH HHS R01DK118038NIDDK NIH HHS R01DK120861NIMHD NIH HHS R01MD013826
6 · The paper itself

Abstract

backgroundGlobally, the prevalence of diabetes is increasing, especially in low- and middle-income countries (LMICs), including those in the sub-Saharan African region. However, the independent socioeconomic correlates of glycemic control as measured by hemoglobin A1C have yet to be identified. Therefore, the aim of this analysis was to understand the independent correlates of glycemic control in South Africa.

methodsData from the 2016 South Africa Demographic and Health Survey on adults with diabetes were used for this analysis. The dependent variable, glycemic control, was defined using hemoglobin A1c (HbA1c). Independent variables included: age, gender, ethnicity, marital status, region, urban/rural residence, ability to read, education, insurance, wealth, occupation, and employment in the last year. Analysis of variance was used to test for differences in mean HbA1c for each category of all independent variables, and a fully adjusted linear regression model was used to identify independent correlates of glycemic control (HbA1c).

resultsAmong the 772 people included in this analysis, there were significant differences in mean HbA1c by age (

conclusionsThis study used data from a large diverse population with a high prevalence of diabetes in sub-Saharan Africa and provides new evidence on the correlates of glycemic control and potential targets for interventions designed to lower HbA1c and improve diabetes-related health outcomes of adults in South Africa.

Indexed as

Diabetes MellitusGlycated HemoglobinGlycemic ControlAdolescentAdultAgedFemaleHumansMaleMiddle AgedSocioeconomic FactorsSouth AfricaYoung AdultGlycated Hemoglobinhemoglobin A1c protein, humandiabetesglycemic controlhemoglobin A1cSouth Africasub-Saharan Africa

Identifiers

PMID38673397
PMCPMC11050191
OpenAlexW4394837050

What Socratic 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 Socratic graph.