Evidence map›Paper›PMID 39396958›Full record

ArticleBMC public health2024

Social determinants of health and diabetes self-care management in South Africa.

Assegid Hellebo, Andre Pascal Kengne, Amarech Obse, Naomi Levitt, Bronwyn Myers, Susan Cleary, Olufunke Alaba

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Understanding barriers and facilitators of adherence to lifestyle changes in prediabetes: a qualitative study.International journal of qualitative studies on health and well-being · 2026
    Observational
  5. Article
  6. 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

7 authors.

Assegid HelleboHealth Economics Unit, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. hllass001@myuct.ac.za.
Andre Pascal KengneDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Amarech ObseHealth Economics Unit, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Naomi LevittDivision of Diabetes and Endocrinology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Bronwyn MyersDivision of Addiction Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Susan ClearyHealth Economics Unit, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Olufunke AlabaHealth Economics Unit, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes is an incapacitating condition affecting millions of people in South Africa. Maintaining optimal glycaemic control is crucial in preventing diabetes complications, highlighting the importance of diabetes self-care. This study examined how Social Determinants of Health (SDoH) are associated with self-care management practices in individuals with diabetes in South Africa using the framework developed by the Healthy People 2020 initiative.

methodsThis study utilised cross-sectional Project Mind baseline data collected in 2017. Self-care management was coded on a scale from '0' (never) to '7' (daily adherence). For analysis, this scale was dichotomised into two categories: low self-care (scores 0-5) and high self-care (scores 6-7). Furthermore, adherence with these daily self-care activities was categorised into three levels: no adherence, partial adherence (inconsistent or partial adherence to activities), and full adherence (consistent adherence to all self-care activities).

resultsThe analytical sample (n = 539) was predominantly female (76%), with a mean age of 54 years, urban residents (60%), unemployed (70%), and attained secondary education (11.3%). In determining the attainment of a higher scale of self-care, age (AOR = 1.02, CI=[0.99,1.05]) and secondary education (AOR = 1.13, CI=[1.02, 2.03]) were associated with an increase in the scale of self-care. Conversely, urban residency (AOR = 0.50, CI=[0.29,0.88]) and being obese (AOR = 0.43, CI=[0.19,1.00]) were associated with a lower scale of self-care. Although not statistically robust, food insecurity decreased while being a woman and having a stable house showed an increased association. Travelling longer distances to access healthcare was positively associated with no adherence, and urban residency has a negative association with full adherence relative to partial adherence.

conclusionsThe associations between SDoH and diabetes self-care management within a South African context highlight the need for a more holistic understanding and approach to interventions. Future endeavours should examine these determinants more broadly and formulate integrative strategies to ameliorate diabetes self-care.

Indexed as

Self CareSocial Determinants of HealthAdultAgedCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedSouth Africa

Identifiers

PMID39396958
PMCPMC11476463

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.