Evidence map›Paper›PMID 41359630›Full record

ArticlePLOS global public health2025

Socioeconomic inequalities, substance use, and chronic multimorbidity in Kiambu and Nakuru counties in Kenya.

Linnet Ongeri, Lydia Kaduka, Damaris Matoke, Doris Njomo, Zipporah Bukania, Moses Mwangi, Linus Ndegwa, Joanna Olale, Caleb Othieno, Sahara Hussein and 3 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Linnet OngeriCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-2330-6144
Lydia KadukaCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Damaris MatokeCentre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya.
Doris NjomoEastern and Southern Africa Centre of International Parasite Control, Nairobi, Kenya.
Zipporah BukaniaCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Moses MwangiCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Linus NdegwaCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Joanna OlaleCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0009-0006-2697-7516
Caleb OthienoDepartment of Medicine, Maseno University, Kisumu, Kenya.
Sahara HusseinCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Geoffrey BariniDepartment of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-4471-0691
Valentine WangaSchool of Public Health, University of Washington, Seattle, Washington, United States of America.
Polycarp MogeniCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-1926-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity, defined as the coexistence of two or more chronic conditions in an individual, is a growing public health concern associated with increased healthcare costs, poorer quality of life, and increased mortality. Substance use, defined as the consumption of alcohol, tobacco, or other psychoactive substances, may influence the development of multimorbidity, but evidence from sub-Saharan Africa remains limited. We examined the prevalence of multimorbidity and its association with substance use, as well as socioeconomic and demographic factors, in two counties in central Kenya. Data were obtained from a household-based, cross-sectional survey using a stratified, two-stage random sampling design. To account for the complex survey design, we employed sample-weighted multivariable analysis using a modified Poisson regression model to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs) for the associations. Among the 1,484 participants (median age, 36 years), 58% were female, 61% were married, and 52% reported lifetime substance use. Multimorbidity was prevalent in 7.7% of study participants and relatively higher among participants aged 36-45 years (aPR, 4.32 [95% CI, 1.15-16.28], P = 0.031) and 46 years or older (aPR, 12.52; 95% CI, 3.68-42.56; P < 0.001), female (aPR, 1.62 [95%CI, 1.16-2.27]; P = 0.005), those that were divorced or separated (aPR, 2.22 [95%CI, 1.37-3.62]; P = 0.002) and alcohol users (aPR, 1.68 [95%CI, 1.07-2.64]; P = 0.024). Multimorbidity prevalence did not vary significantly by levels of education or income. These findings underscore the need for integrated, community-based approaches to prevent and manage multimorbidity, particularly among older adults, women, and individuals with a history of alcohol use.

Identifiers

PMID41359630
PMCPMC12685187

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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.