Evidence map›Paper›PMID 27165996›Full record

ArticleTobacco control2017

Factors influencing cigarette smoking among soldiers and costs of soldier smoking in the work place at Kakiri Barracks, Uganda.

Robert Basaza, Emmanuel Otieno, Ambrose Musinguzi, Possy Mugyenyi, Christopher K Haddock

Abstract read
In one paragraph

Article in Tobacco control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.4field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Robert BasazaInternational Health Sciences University Kampala, Kampala, Uganda.
Emmanuel OtienoInternational Health Sciences University Kampala, Kampala, Uganda.
Ambrose MusinguziUganda Peoples Defense Forces, Kampala, Uganda.
Possy MugyenyiCentre for Tobacco Control in Africa Makerere University School of Public Health Kampala, Kampala, Uganda.
Christopher K HaddockNational Development and Research Institutes, Inc, Leawood, Kansas USA.
Makerere University · UGUganda Blood Transfusion Service · UGNational Development and Research Institutes · US

Funding

Barriers to Effective Tobacco Control Policy Implementation in the US MilitaryR01DA036507 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI HADDOCK, CHRISTOPHER KEITH, MALONE, RUTH E · 2013 to 2015
$1.8M
NIDA NIH HHS R01 DA036507
6 · The paper itself

Abstract

backgroundAlthough Uganda has a relatively low prevalence of smoking, no data exists on cigarette use among military personnel. Studies in other countries suggests military service is a risk factor for tobacco use.

objectivesTo assess prevalence and risk factors for and costs of smoking among military personnel assigned to a large military facility in Uganda.

designA mixed methods study including focus groups, interviews and a cross-sectional survey of military personnel.

settingKakiri Barracks, Uganda. SUBJECTS: Key informants and focus group participants were purposively selected based on the objectives of the study, military rank and job categories. A multistage sample design was used to survey individuals serving in Uganda People's Defense Forces (UPDF) from June to November 2014 for the survey (n=310).

resultsParticipants in the qualitative portion of the study reported that smoking was harmful to health and the national economy and that its use was increasing among UPDF personnel. Survey results suggested that smoking rates in the military were substantially higher than in the general public (ie, 34.8% vs 5.3%). Significant predictors of smoking included lower education, younger age, having close friends who smoked and a history of military deployment. Estimated costs of smoking due to lost productivity was US$576 229 and US$212 400 for excess healthcare costs.

conclusionsSmoking rates are substantially higher in the UPDF compared to the general public and results in significant productivity costs. Interventions designed to reduce smoking among UPDF personnel should be included in the country's national tobacco control plan.

Indexed as

Cost of IllnessEfficiencyAdolescentAdultAge FactorsCross-Sectional StudiesEducational StatusFemaleFocus GroupsHumansMaleMiddle AgedMilitary PersonnelPrevalenceRisk FactorsSmokingDisparitiesLow/Middle income countryPriority/special populationsPublic policy

Identifiers

PMID27165996
PMCPMC5104672
OpenAlexW2377067219

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.