Evidence map›Paper›PMID 27613912›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

Smoking Cessation and Changes in Body Mass Index: Findings From the First Randomized Cessation Trial in a Low-Income Country Setting.

Ziyad Ben Taleb, Kenneth D Ward, Taghrid Asfar, Rana Jaber, Raed Bahelah, Wasim Maziak

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Nicotine replacement therapy versus control for smoking cessation.The Cochrane database of systematic reviews · 2018
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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

6 authors at 4 institutions in 2 countries.

Ziyad Ben TalebDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL.
Kenneth D WardDivision of Social and Behavioral Sciences, School of Public Health, University of Memphis, Memphis, TN.
Taghrid AsfarSyrian Center for Tobacco Studies, Aleppo, Syria.
Rana JaberDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL.
Raed BahelahDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL.
Wasim MaziakDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL.
Florida International University · USSyrian Center for Tobacco Studies · SYUniversity of Memphis · USUniversity of Miami · US

Funding

Responding to the changing tobacco epidemic in the Eastern Mediterranean RegionR01DA024876 · NIDA · UNIVERSITY OF MEMPHIS · PI MAZIAK, WASIM · 2007 to 2011
$1.6M
NIDA NIH HHS R01 DA024876
6 · The paper itself

Abstract

backgroundIn high-income countries, quitting cigarette smoking is associated with weight gain, which can reduce motivation to abstain. Whether smoking cessation is associated with weight gain in a low-income country context has never been investigated. We aimed to determine the post-cessation changes in body mass index (BMI) and its predictors among smokers who received a smoking cessation intervention in a low-income country setting.

methodsWe performed post hoc analyses of data from 269 smokers who participated in a two-group, parallel-arm, double-blind, placebo-controlled randomized trial of combined nicotine replacement therapy (NRT) and behavioral counseling in primary care clinics in Aleppo, Syria. We used generalized estimating equation modeling to identify predictors of changes in BMI at 6 weeks and 6- and 12-month follow-ups after quit date.

resultsThe mean pre-cessation BMI of the sample was 27.9kg/m2 (SD = 5.2). Over 12 months of follow-up, BMI of smoking abstainers averaged 1.8 BMI units (approximately 4.8kg) greater than non-abstainers (p = .012). Throughout the study, greater BMI was associated with being female (p = .048), reporting smoking to control weight (p < .001) and having previously failed to quit due to weight gain (p = .036).

conclusionSimilar to findings from high-income countries, smoking cessation in Syria is associated with weight gain, particularly among women and those who have weight concerns prior to quitting. This group of smokers may benefit from tailored cessation interventions with integrated body weight management elements that take into consideration the prevailing local and cultural influences on diet and levels of physical activity. IMPLICATIONS: This study provides the first evidence regarding post-cessation changes in BMI among smokers who attempt to quit in a low-income country setting. Our findings advance knowledge regarding post-cessation weight gain and offers insight for researchers and clinicians to identify smokers at higher risk of post-cessation weight gain. This information will help in delivering interventions that take into account the prevailing cultural influence on diet and physical activity and will ultimately help in designing future tailored cessation programs in Syria and other low-income countries with similar cultural background and level of development.

Indexed as

Body Mass IndexWeight GainAdolescentAdultAgedCounselingFemaleHumansMaleMiddle AgedPovertySmoking CessationSyriaTobacco Use Cessation DevicesTobacco Use DisorderYoung Adult

Identifiers

PMID27613912
PMCPMC13648115
OpenAlexW2511765189

What OpenQuestion holds

Textmetadata
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.