Evidence map›Paper›PMID 38055698›Full record

ArticlePLOS global public health2023

Epidemiology of multimorbidity in low-income countries of sub-Saharan Africa: Findings from four population cohorts.

Alison J Price, Modou Jobe, Isaac Sekitoleko, Amelia C Crampin, Andrew M Prentice, Janet Seeley, Edith F Chikumbu, Joseph Mugisha, Ronald Makanga, Albert Dube and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Value Proposition of Coordinated Population Cohorts Across Africa.Annual review of biomedical data science · 2024
    Review
  6. Health in Africa.Nature communications · 2024
    Article
  7. Article
  8. 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

12 authors.

Alison J PriceMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Modou JobeMRC Unit The Gambia @ London School of Hygiene and Tropical Medicine, Fajara, Banjul, The Gambia.
Isaac SekitolekoMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Amelia C CrampinMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Andrew M PrenticeMRC Unit The Gambia @ London School of Hygiene and Tropical Medicine, Fajara, Banjul, The Gambia.
Janet SeeleyMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Edith F ChikumbuMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-0956-3331
Joseph MugishaMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Ronald MakangaMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Albert DubeMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Frances S MairSchool of health and Wellbeing, College of Medicine, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom.ORCID https://orcid.org/0000-0001-9780-1135
Bhautesh Dinesh JaniSchool of health and Wellbeing, College of Medicine, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom.ORCID https://orcid.org/0000-0001-7348-514X

Funding

Medical Research Council MC_PC_MR/T037849/1
6 · The paper itself

Abstract

We investigated prevalence and demographic characteristics of adults living with multimorbidity (≥2 long-term conditions) in three low-income countries of sub-Saharan Africa, using secondary population-level data from four cohorts; Malawi (urban & rural), The Gambia (rural) and Uganda (rural). Information on; measured hypertension, diabetes and obesity was available in all cohorts; measured hypercholesterolaemia and HIV and self-reported asthma was available in two cohorts and clinically diagnosed epilepsy in one cohort. Analyses included calculation of age standardised multimorbidity prevalence and the cross-sectional associations of multimorbidity and demographic/lifestyle factors using regression modelling. Median participant age was 29 (Inter quartile range-IQR 22-38), 34 (IQR25-48), 32 (IQR 22-53) and 37 (IQR 26-51) in urban Malawi, rural Malawi, The Gambia, and Uganda, respectively. Age standardised multimorbidity prevalence was higher in urban and rural Malawi (22.5%;95% Confidence intervals-CI 21.6-23.4%) and 11.7%; 95%CI 11.1-12.3, respectively) than in The Gambia (2.9%; 95%CI 2.5-3.4%) and Uganda (8.2%; 95%CI 7.5-9%) cohorts. In multivariate models, females were at greater risk of multimorbidity than males in Malawi (Incidence rate ratio-IRR 1.97, 95% CI 1.79-2.16 urban and IRR 2.10; 95%CI 1.86-2.37 rural) and Uganda (IRR- 1.60, 95% CI 1.32-1.95), with no evidence of difference between the sexes in The Gambia (IRR 1.16, 95% CI 0.86-1.55). There was strong evidence of greater multimorbidity risk with increasing age in all populations (p-value <0.001). Higher educational attainment was associated with increased multimorbidity risk in Malawi (IRR 1.78; 95% CI 1.60-1.98 urban and IRR 2.37; 95% CI 1.74-3.23 rural) and Uganda (IRR 2.40, 95% CI 1.76-3.26), but not in The Gambia (IRR 1.48; 95% CI 0.56-3.87). Further research is needed to study multimorbidity epidemiology in sub-Saharan Africa with an emphasis on robust population-level data collection for a wide variety of long-term conditions and ensuring proportionate representation from men and women, and urban and rural areas.

Identifiers

PMID38055698
PMCPMC10699623

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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.