Evidence map›Paper›PMID 33598386›Full record

ArticleGlobal heart2021

Multimorbidity from Chronic Conditions among Adults in Urban Slums: The AWI-Gen Nairobi Site Study Findings.

Shukri F Mohamed, Tilahun Nigatu Haregu, Olalekan A Uthman, Christopher Khayeka-Wandabwa, Stella Kagwiria Muthuri, Gershim Asiki, Catherine Kyobutungi, Paramjit Gill

Abstract read
In one paragraph

Article in Global heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Multimorbidity Management: A Scoping Review of Interventions and Health Outcomes.International journal of environmental research and public health · 2025
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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.

Shukri F MohamedAfrican Population and Health Research Center (APHRC), Nairobi, KE.
Tilahun Nigatu HareguAfrican Population and Health Research Center (APHRC), Nairobi, KE.
Olalekan A UthmanWarwick-Centre for Applied Health Research and Delivery (WCAHRD), Warwick Medical School, University of Warwick, Coventry, UK.
Christopher Khayeka-WandabwaSchool of Pharmaceutical Science and Technology (SPST), Health Sciences Platform, Tianjin University, Tianjin, CN.
Stella Kagwiria MuthuriAfrican Population and Health Research Center (APHRC), Nairobi, KE.
Gershim AsikiAfrican Population and Health Research Center (APHRC), Nairobi, KE.
Catherine KyobutungiAfrican Population and Health Research Center (APHRC), Nairobi, KE.
Paramjit GillAcademic Unit of Primary Care (AUPC) and the NIHR Global Health Research Unit on Improving Health in Slums, University of Warwick, Coventry, UK.

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

Background: In the era of double burden of infectious and non-communicable diseases in sub-Saharan Africa, the burden of multimorbidity is likely to be common. However, there is limited evidence on the burden and its associated factors in the sub-Saharan African context. Objective: The aim of this study was to determine the levels and identify determinants of multimorbidity from chronic conditions in two urban slums in Nairobi. Methods: Data collected from 2003 study participants aged 40-60 years in two urban slums of the Nairobi Urban Health and Demographic Surveillance System in 2015 were used. Using self-report, anthropometry and key biomarkers, data on 16 conditions including chronic diseases, behavioral disorders and metabolic abnormalities were gathered. Lifetime multimorbidity defined by the occurrence of at least two chronic conditions in an individual at any time during their life course was computed. Factors associated with lifetime multimorbidity were identified using multiple logistic regression. Findings: A total of 2,081 chronic conditions were identified among 1,302 individuals. While 701 (35.0%) had no chronic condition, single morbidity was reported in 726 (36.2%) of the study population. The overall prevalence of lifetime multimorbidity was 28.7%. The prevalence of dyads and triads of simultaneous occurrences of conditions (episodic multimorbidity) was 20.8% and 6.1%, respectively. Single morbidity was positively associated with gender and alcohol consumption; and negatively associated with employment. Women, older people, the unemployed, current smokers and current alcohol consumers had higher levels of lifetime multimorbidity in the study population. Interpretation: The findings of this study indicate that a considerable proportion of adults living in urban slums experience multimorbidity from chronic conditions. Further studies with a better rigor to establish temporal associations between socio-demographic factors and the occurrence of chronic conditions are needed to explore the impacts and implications on health status and health system.

Indexed as

MultimorbidityPoverty AreasAdultAgedChronic DiseaseCross-Sectional StudiesFemaleHumansKenyaPrevalenceanthropometrychronic conditionsethnicitymultimorbidityurban slum

Identifiers

PMID33598386
PMCPMC7824985

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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.