Evidence map›Paper›PMID 28948720›Full record

ArticleObesity (Silver Spring, Md.)2017

The Primary Results of the Treating Adult Smokers at Risk for Weight Gain with Interactive Technology (TARGIT) Study.

Karen C Johnson, Fridtjof Thomas, Phyllis Richey, Quynh T Tran, Fran Tylavsky, Danielle Miro, Mace Coday

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Interventions for preventing weight gain after smoking cessation.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Trial
  4. Trial
  5. Article
  6. The emerging adulthood gap in diabetes prevention research.Lancet regional health. Americas · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
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.

Karen C JohnsonDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID 0000-0002-3493-4077
Fridtjof ThomasDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Phyllis RicheyDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Quynh T TranDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Fran TylavskyDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Danielle MiroDepartment of Counseling, Educational Psychology and Research, University of Memphis, Memphis, Tennessee, USA.
Mace CodayDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Funding

Targeted Approaches to Weight Control for Young Adults Grant with RCU ProposalU01HL096628 · NHLBI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C · 2009 to 2013
$4.3M
NHLBI NIH HHS U01 HL096628
6 · The paper itself

Abstract

objectiveTo evaluate whether a behavioral weight management program combined with a smoking cessation program delivered via interactive technology could prevent postcessation weight gain.

methodsThree hundred and thirty young adult smokers, age 18 to 35 years, were randomized to a smoking cessation program alone (comparison group), which included behavioral counseling and nicotine replacement, or to a behavioral weight management program adapted from the Look AHEAD trial plus the same smoking cessation program (intervention group).

resultsThe Treating Adult Smokers at Risk for Weight Gain with Interactive Technology study randomized 164 participants to the comparison group and 166 participants to the intervention group. On average, the participants gained 0.91 kg after 24 months in the trial (comparison group + 1.45 kg and intervention group + 0.32; P = 0.157). The only variable systematically affecting weight change over time was smoking abstinence, in which those who were abstinent, on average, gained 0.14 kg more per month compared with those who continued to smoke (P < 0.001). In exploratory analyses, the intervention participants who were abstinent at 6 months had numerically smaller weight gains compared with abstinent participants in the comparison group, but these differences were not statistically significant.

conclusionsProviding an intensive weight gain prevention program combined with a smoking cessation program via interactive technology was not associated with greater long-term weight gain prevention.

Indexed as

AdolescentAdultCounselingFemaleHumansMaleSmokingSmoking CessationTechnologyWeight GainYoung Adult

Identifiers

PMID28948720
PMCPMC5679058

What OpenQuestion holds

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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.