Evidence map›Paper›PMID 37948351›Full record

ArticlePLOS global public health2023

Prevalence, patterns, and factors associated with tobacco use among patients with priority tobacco related illnesses at four Kenyan national referral hospitals, 2022.

Valerian Mwenda, Lazarus Odeny, Shukri Mohamed, Gladwell Gathecha, Anne Kendagor, Dorcas Kiptui, Florence Jaguga, Beatrice Mugi, Caroline Mithi, Kennedy Okinda and 5 more

Open access · goldAbstract 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. 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

15 authors at 7 institutions in 1 country.

Valerian MwendaDepartment of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1956-7440
Lazarus OdenyKenya Medical Research Institute, Nairobi, Kenya.
Shukri MohamedAfrican Population and Health Research Center, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-8693-1943
Gladwell GathechaDepartment of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya.
Anne KendagorDepartment of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya.
Dorcas KiptuiDepartment of Non-communicable Diseases, Ministry of Health, Nairobi, Kenya.
Florence JagugaMoi Teaching and Referral Hospital, Eldoret, Kenya.
Beatrice MugiKenyatta National Hospital, Nairobi, Kenya.
Caroline MithiKenyatta University Teaching, Referral and Research Hospital, Nairobi, Kenya.
Kennedy OkindaKenyatta National Hospital-Othaya Referral Hospital, Othaya, Kenya.ORCID https://orcid.org/0000-0003-0217-4592
Daniel MwaiUniversity of Nairobi, Nairobi, Kenya.
David NjugunaDepartment of Planning and Health Financing, Ministry of Health, Nairobi, Kenya.
Winnie AwuorDevelopment Gateway, Nairobi, Kenya.ORCID https://orcid.org/0009-0000-3199-0914
Rachel Kitonyo-DevotsuDevelopment Gateway, Nairobi, Kenya.ORCID https://orcid.org/0009-0000-3852-4131
Jane Rahedi Ong'ang'oKenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-5481-8447
Ministry of Health · KEKenya Medical Research Institute · KEKenyatta National Hospital · KEAfrican Population and Health Research Center · KEKenyatta University · KEMoi University · KEUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco use is a risk factor for many chronic health conditions. Quantifying burden of tobacco use among people with tobacco-related illnesses (TRI) can strengthen cessation programs. This study estimated prevalence, patterns and correlates of tobacco use among patients with TRI at four national referral hospitals in Kenya. We conducted a cross-sectional study among patients with five TRI (cancer, cardiovascular diseases, cerebrovascular disease, chronic obstructive pulmonary disease, and pulmonary tuberculosis) during January-July 2022. Cases identified from medical records were interviewed on socio-demographic, tobacco use and cessation information. Descriptive statistics were used to characterize patterns of tobacco use. Multiple logistic regression models were used to identify associations with tobacco use. We identified 2,032 individuals with TRI; 46% (939/2,032) had age ≥60 years, and 61% (1,241/2,032) were male. About 45% (923/2,032) were ever tobacco users (6% percent current and 39% former tobacco users). Approximately half of smokers and 58% of smokeless tobacco users had attempted quitting in the last month; 42% through cessation counselling. Comorbidities were present in 28% of the participants. Most (92%) of the patients had been diagnosed with TRI within the previous five years. The most frequent TRI were oral pharyngeal cancer (36% [725/2,032]), nasopharyngeal cancer (12% [246/2.032]) and lung cancer (10% [202/2,032]). Patients >60 years (aOR 2.24, 95% CI: 1.84, 2.73) and unmarried (aOR 1.21, 95% CI: 1.03, 1.42) had higher odds of tobacco use. Female patients (aOR 0.35, 95% CI: 0.30, 0.41) and those with no history of alcohol use (aOR 0.27, 95% CI: 0.23, 0.31), had less odds of tobacco use. Our study shows high prevalence of tobacco use among patients with TRI in Kenya, especially among older, male, less educated, unmarried, and alcohol users. We recommend tobacco use screening and cessation programs among patients with TRI as part of clinical care.

Identifiers

PMID37948351
PMCPMC10637644
OpenAlexW4388576102

What OpenQuestion holds

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LicenceCC BY
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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.