Evidence map›Paper›PMID 41194938›Full record

ArticleTobacco induced diseases2025

Socioeconomic and demographic determinants of tobacco use in Kenya: A secondary data analysis of findings from the Kenya Demographic and Health Survey 2022.

Peter O Magati, Jeffrey Drope, Raphael Lencucha, Starley B Shade, Jerry John Ouner, Francesca Odhiambo, Stella Bialous

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Peter O MagatiDevelopment Hub, Health Policy Division, Nairobi, Kenya.
Jeffrey DropeEconomics for Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Raphael LencuchaFaculty of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, Canada.
Starley B ShadeInstitute for Global Health Sciences, Department of Epidemiology and Biostatistics, University of California, San Francisco, United States.
Jerry John OunerDepartment of Family Health Care Nursing, School of Nursing, University of California, San Francisco, United States.
Francesca OdhiamboKenya Medical Research Institute, Centre for Microbiology Research, Kisumu, Kenya.
Stella BialousDepartment of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, United States.

Funding

Integrating tobacco use cessation into HIV Care and Treatment in Ministry of Health Facilities in Kisumu County, KenyaU01CA261620 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIALOUS, STELLA AGUINAGA · 2021 to 2025
$4.0M
NCI NIH HHS U01 CA261620
6 · The paper itself

Abstract

introductionTobacco use is a major public health crisis in Kenya, leading to over 6000 deaths annually. With a significant number of young people and adults using tobacco, the nation faces a rising health burden. The Kenyan government has implemented educational programs to curb consumption. This study analyzes data from the 2022 Kenya Demographic and Health Survey (KDHS) to assess changes in tobacco use from 2014 to 2022 and identify key demographic and socioeconomic determinants.

methodsThis study is a secondary data analysis of the 2022 Kenya Demographic and Health Survey (KDHS), a nationally representative survey of 46609 adults (aged 15-54 years). Data access was through the MEASURE DHS platform, ensuring ethical handling. A logistic regression model was used to estimate odds ratios of tobacco use, adjusting for socioeconomic and demographic factors. The analysis accounted for the survey's complex design using survey weights and clustering and was conducted in Stata 17 software.

resultsBetween 2014 and 2022, overall tobacco use declined. Among men, prevalence dropped from 17.3% to 12.81% (25.95% decrease), and among women from 3.10% to 2.64% (14.84% decrease). While women's smoking slightly increased (0.18-0.35%), their smokeless use decreased (0.93-0.77%). Tobacco use was linked to age, marital status, residence, region, education level, and gender. Men's tobacco use odds increased with age, with those aged 20-24 years nearly five times more likely to use tobacco than those aged 15-19 years (AOR=4.44; 95% CI: 4.44-4.44). Married men were less likely to use tobacco than divorced, separated, or widowed men.

conclusionsThe observed declines in tobacco use, especially among males, suggest that current tobacco control efforts are positively impacting public health. Given the financial strain of health costs, preventive interventions are crucial. Research on socioeconomic and demographic factors can guide targeted behavioral change strategies. Continued policy measures like increased tobacco taxation, raising the legal sale age, and enforcing advertising bans and smoke-free policies remain essential to further reduce tobacco's health burden in Kenya.

Indexed as

older adultsprevalencetobacco controltobacco use

Identifiers

PMID41194938
PMCPMC12584674

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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.