Evidence map›Paper›PMID 35097111›Full record

ArticleBioMed research international2022

Prevalence of Cigarette Smoking and Associated Factors among Residents of Hossana Town, Southern Ethiopia.

Abera Beyamo Mekiso, Temesgen Tamirat Fonkamo, Tekle Ejajo Wontamo, Fitsum Endale Liben, Ermias Abera Turuse, Aregash Mecha Watumo, Lonsako Abute Woiloro, Dawit Sullamo Erjino, Tegegn Tadesse Arficho, Dejene Ermias Mekengo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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

10 authors at 1 institution.

Abera Beyamo MekisoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.ORCID https://orcid.org/0000-0003-4704-5081
Temesgen Tamirat FonkamoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Tekle Ejajo WontamoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Fitsum Endale LibenSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Ermias Abera TuruseSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Aregash Mecha WatumoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Lonsako Abute WoiloroSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.ORCID https://orcid.org/0000-0003-0459-4726
Dawit Sullamo ErjinoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.ORCID https://orcid.org/0000-0001-5342-8893
Tegegn Tadesse ArfichoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Dejene Ermias MekengoSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaena, Ethiopia.
Wachemo University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco is the only legal product that kills a large number of its consumers when used as intended by producers. Information on cigarette smoking and associated factors among adults at the household level is very limited.

objectiveTo assess prevalence of cigarette smoking and associated factors among residents of Hossana town, Hadiya zone, Southern Ethiopia, 2020. METHODS AND MATERIALS: A cross-sectional study design was performed. A structured questionnaire was used to collect data. Bivariate and multivariable binary logistic regression was used to identify risk factors of cigarette smoking. Variables significant at a

resultIn total, 591 people responded to the survey, resulting in a 98.2% response rate. Among the study participants, cigarette smokers were 183 (31.0%). Educational status, alcohol use, and parental smoking were all found to have a significant relationship with cigarette smoking among research participants in Hosanna town. When compared to people with a college education or above, illiterates are approximately nine times more likely to consume cigarettes (95% CI = 9.058 (3.52, 22.469)). Alcoholics are about twice as likely as nondrinkers to smoke cigarettes (95% CI = 2.288 (1.548, 3.383)). Those who have cigarette-smoking parents are approximately twice as likely as their counterparts to smoke cigarettes (95% CI = 2.288 (1.548, 3.383)).

conclusionAccording to this survey, the prevalence of cigarette smoking was high. Furthermore, cigarette smoking was linked to illiteracy, alcohol consumption, and parental smoking in this study.

Indexed as

Cigarette SmokingAdultCross-Sectional StudiesEthiopiaHumansNicotianaPrevalence

Identifiers

PMID35097111
PMCPMC8794659
OpenAlexW4206690648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.