Evidence map›Paper›PMID 33235135›Full record

ArticleMedicine2020

Factors associated with glycemic control among South African adult residents of Mkhondo municipality living with diabetes mellitus.

Charity Masilela, Brendon Pearce, Joven Jebio Ongole, Oladele Vincent Adeniyi, Mongi Benjeddou

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 2 institutions in 3 countries.

Charity MasilelaDepartment of Biotechnology, University of the Western Cape, Bellville.
Brendon PearceDepartment of Biotechnology, University of the Western Cape, Bellville.
Joven Jebio OngoleDepartment of Family Medicine, Center for Teaching and Learning, Piet Retief Hospital, Mkhondo.
Oladele Vincent AdeniyiDepartment of Family Medicine, Walter Sisulu University, East London, South Africa.
Mongi BenjeddouDepartment of Biotechnology, University of the Western Cape, Bellville.
Office of the Governor · USHouse of Representatives · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the rate and the influencing factors of glycemic control among adult residents living with DM in Mkhondo Municipality of South Africa.In this cross-sectional study, 157 individuals attending care for DM were recruited. Glycemic control status was categorized as poor if glycated hemoglobin (HbA1c) > 7% and very poor if HbA1c ≥ 9%. Multivariate regression analysis was used to identify the significant determinants of poor and very poor glycemic control.The majority of the study participants were females (84.71%) and above 45 years old (88.55%). The overall prevalence of poor glycemic control was 77.71% (n = 122), while very poor glycemic control occurred in 50.6% (n = 80) of the study cohort. In the multivariate logistic regression model analysis, African traditional [AOR = 0.15; 95% confidence interval (95% CI) 0.04-0.57], fast food consumption (AOR = 5.89; 95% CI 2.09-16.81), elevated total cholesterol (TC) [odds ratio (OR) = 2.33; 95% CI 1.50-5.17], elevated low-density lipoprotein cholesterol (LDL-C) (AOR = 5.28; 95% CI 1.89-14.69), and triglyceride (TG) (AOR = 4.39; 95% CI 1.48-13.00) were the independent and significant determinants of poor glycemic control. Age (AOR = 0.46; 95% CI 0.23-0.92) was the only independent and significant determinant of very poor glycemic control.We found a high rate of poor glycemic control (77.71%) possibly attributed to religious affiliation, fast food consumption, and dyslipidemia. On the contrary, about half of the study sample had very poor glycemic control (HbA1c ≥9%), which was predominant among younger cohort with diabetes mellitus. Interventions aimed at improving glycemic control in this population must also target religious practice, dietary patterns and dyslipidemia as well as tailored-approach for young people.

Indexed as

Glycemic ControlAge FactorsCholesterolCholesterol, LDLCross-Sectional StudiesDiabetes Mellitus, Type 2DyslipidemiasFast FoodsFemaleGlycated HemoglobinHumansMaleMiddle AgedMultivariate AnalysisReligionSouth AfricaCholesterolCholesterol, LDLGlycated HemoglobinTriglycerides

Identifiers

PMID33235135
PMCPMC7710224
OpenAlexW3110501483

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.