Evidence map›Paper›PMID 28403471›Full record

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

Do Psychiatric Disorders or Measures of Distress Moderate Response to Postpartum Relapse Prevention Interventions?

Rachel P Kolko, Rebecca L Emery, Yu Cheng, Michele D Levine

Open access · greenAbstract read
In one paragraph

Article 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 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Relapse prevention interventions for smoking cessation.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Relapse prevention interventions for smoking cessation.The Cochrane database of systematic reviews · 2019
    Pooled it
  3. Trial
  4. Article
  5. Observational
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

4 authors at 1 institution in 1 country.

Rachel P KolkoDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Rebecca L EmeryDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA.
Yu ChengDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Michele D LevineDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
University of Pittsburgh · US

Funding

CLINICAL RESEARCH TRAINING FOR PSYCHOLOGISTST32MH018269 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MICHELE D LEVINE · 1986 to 2026
$6.3M
NIMH NIH HHS T32 MH018269
6 · The paper itself

Abstract

introductionMost women who quit smoking during pregnancy will relapse postpartum. Interventions for sustained postpartum abstinence can benefit from understanding prenatal characteristics associated with treatment response. Given that individuals with psychiatric disorders or elevated depressive symptoms have difficulty quitting smoking and that increases in depressive symptoms prenatally are common, we examined the relevance of psychiatric diagnoses, prenatal depressive symptoms, and stress to postpartum relapse prevention intervention response.

methodsPregnant women (N = 300) who quit smoking during pregnancy received intervention (with specialized focus on mood, weight, and stress [STARTS] or a comparison [SUPPORT]) to prevent postpartum relapse. As previously published, nearly one-third and one-quarter of women achieved biochemically-confirmed sustained abstinence at 24- and 52-weeks postpartum, with no difference in abstinence rates between the interventions. Women completed psychiatric interviews and questionnaires during pregnancy. Smoking was assessed in pregnancy, and 24- and 52-weeks postpartum.

resultsPsychiatric disorders did not predict sustained abstinence or treatment response. However, treatment response was moderated by end-of-pregnancy depressive symptoms (χ2 = 9.98, p = .002) and stress (χ2 = 6.90, p = .01) at 24- and 52-weeks postpartum and remained significant after including covariates. Women with low distress achieved higher abstinence rates in SUPPORT than in STARTS (37% vs. 19% for depressive symptoms; 36% vs. 19% for stress), with no difference for women with high symptoms.

conclusionsPrenatal depressive symptoms and stress predicted differential treatment efficacy in women with low symptoms, not in women with high symptoms. Diagnostic history did not predict treatment differences. Future research to address prenatal distress may help tailor postpartum relapse prevention interventions. IMPLICATIONS: We examined prenatal history of psychiatric disorders and psychiatric distress as moderators of response to postpartum smoking relapse prevention intervention that either included or did not include added content on mood, stress, and weight concerns. For women with lower psychiatric distress, the added focus is not necessary, as these women achieved greater sustained abstinence in the less-intensive treatment. Understanding which women need which level of care to sustain abstinence can help allocate resources for all postpartum former smokers. These findings underscore the importance of perinatal symptom monitoring and promoting behavioral health more broadly in pregnant and postpartum women.

Indexed as

Secondary PreventionSmoking PreventionAdultAffectBody WeightDepressionFemaleHumansMental DisordersPostpartum PeriodPregnancyPregnancy ComplicationsPregnant PeoplePrognosisRecurrenceSmoking

Identifiers

PMID28403471
PMCPMC5896431
OpenAlexW2605802172

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.