Evidence map›Paper›PMID 26025035›Full record

ArticleBMC public health2015

Predictors of marked weight gain in a population of health care and industrial workers following smoking cessation.

Andreas Scherr, Bruno Seifert, Martin Kuster, Anja Meyer, Karl-Olov Fagerstroem, Michael Tamm, Daiana Stolz

Abstract readClinical StudyComparative StudyMulticenter Study
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions for preventing weight gain after smoking cessation.The Cochrane database of systematic reviews · 2021
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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

7 authors.

Andreas ScherrClinic of Pneumology and Pulmonary Research, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland. scherra@uhbs.ch.
Bruno SeifertIndustrial Health Service, F. Hoffman- La Roche AG,, Basel, Switzerland. bruno.seiffert@roche.com.
Martin KusterIndustrial Health Service, Novartis International AG, Basel, Switzerland. martin.kuster@novartis.com.
Anja MeyerClinic of Pneumology and Pulmonary Research, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland. Anja.Meyer@usb.ch.
Karl-Olov FagerstroemSmokers Information Centre, Fagerstroem Consulting AB, Helsingborg, Sweden. karl.fagerstrom@tele2.se.
Michael TammClinic of Pneumology and Pulmonary Research, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland. Michael.Tamm@usb.ch.
Daiana StolzClinic of Pneumology and Pulmonary Research, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland. Daiana.Stolz@usb.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerns about postcessational weight gain might hamper rather than encourage smokers to quit smoking.

methodsWe conducted a comprehensive multi-institutional smoking cessation program for health care and industrial workers (n = 654) employed at University Hospital Basel (Switzerland) and two local health industry companies (Novartis International AG, F. Hoffmann-La Roche AG). The program contained counselling with an option of pharmacological support. Changes in body weight were observed during 24 months of follow-up. Factors associated with longitudinal weight gain (> 5 % of baseline weight) were identified by cox-regression analysis.

resultsIn 51 % of permanent quitters no significant changes of mean body weight were observed after 12 (0.52 kg, SD ± 2.87 kg) and 24 months (0.40 kg, SD ± 2.99 kg). Marked weight gain following smoking cessation was characterized by a wide margin of changes. In more than a half of former smokers (58 %) weight increases were moderate (< 5 kg), whereas excessive increases (> 10 kg) were seen in only 10 % of quitters. Lower baseline BMI (HR 0.60, 95 % CI 0.40- 0.80, p = 0.03), daily consumption of less than ten cigarettes (HR 0.53, 95 % CI 0.27- 0.63, p = 0.04) and ischemic cardiopathy (HR 0.21, 95 % CI 0.07-0.62; p < 0.01) were associated with a lower risk for weight gain. Employees with lower educational levels (HR 2.60, 95 % CI 1.60-5.50, p < 0.01), diabetes mellitus (HR 3.05, 95 % CI 2.20-8.06, p = 0.02) and those smoking to reduce boredom in life (HR 1.68, 95 % CI 1.21-2.33, p < 0.01) were at highest risk.

conclusionMarked postcessational weight gain occurs less often than expected, but remains difficult to be predicted. Our findings might be helpful to alleviate weight concerns in the average smoker willing to quit.

Indexed as

Weight GainAdultBody Mass IndexBody WeightCardiovascular DiseasesDiabetes MellitusDrug IndustryFemaleHealth PersonnelHumansLongitudinal StudiesMaleMiddle AgedSmoking CessationSocioeconomic FactorsSwitzerland

Identifiers

PMID26025035
PMCPMC4448294

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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.