Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/8819
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dc.contributor.authorMwenda, Valerian-
dc.contributor.authorOdeny, Lazarus-
dc.contributor.authorMohamed, Shukri-
dc.contributor.authorGathecha, Gladwell-
dc.contributor.authorKendagor, Anne-
dc.contributor.authorKiptui, Dorcas-
dc.contributor.authorJaguga, Florence-
dc.contributor.authorMugi, Beatrice-
dc.contributor.authorMithi, Caroline-
dc.contributor.authorOkinda, Kennedy-
dc.contributor.authorMwaI, Daniel-
dc.contributor.authorNjuguna, David-
dc.contributor.authorAwuor, Winnie-
dc.contributor.authorKitonyo- Devotsu, Rachel-
dc.contributor.authorRahedi Ong’ang’o, Jane-
dc.date.accessioned2024-02-19T11:45:05Z-
dc.date.available2024-02-19T11:45:05Z-
dc.date.issued2023-11-10-
dc.identifier.urihttps://doi.org/10.1371/journal. pgph.0002002-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/8819-
dc.description.abstractTobacco 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 pul- monary disease, and pulmonary tuberculosis) during January–July 2022. Cases identified from medical records were interviewed on socio-demographic, tobacco use and cessation informa- tion. 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 indi- viduals 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 quit- ting 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.en_US
dc.language.isoenen_US
dc.publisherPLOS ONEen_US
dc.subjectTobaccoen_US
dc.subjectchronic health conditionsen_US
dc.titlePrevalence, patterns, and factors associated with tobacco use among patients with priority tobacco related illnesses at four Kenyan national referral hospitals, 2022en_US
dc.typeArticleen_US
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