Evidence map›Paper›PMID 22002229›Full record

ArticleMaternal and child health journal2012

Do risk factors for post-partum smoking relapse vary according to marital status?

Stephanie L Prady, Kathleen Kiernan, Karen Bloor, Kate E Pickett

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Article in Maternal and child health journal, 2012. 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.

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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

4 authors.

Stephanie L PradyDepartment of Health Sciences, University of York, Seebohm Rowntree Building, Area 4, York, YO10 5DD, UK. stephanie.prady@york.ac.uk
Kathleen Kiernan
Karen Bloor
Kate E Pickett

Funding

Department of Health CSA/03/07/014
6 · The paper itself

Abstract

We aimed to examine associations between factors readily obtainable in health care settings and post-partum smoking relapse in women of differing marital status. We analysed data on 1,829 mothers in the Millennium Cohort Study who reported quitting smoking during their pregnancy using multivariate logistic regression. We analysed single, married and cohabiting women separately. Fifty-seven percent of mothers who quit during pregnancy had relapsed at 9 months. The risk of relapse was highest for single women, followed by cohabiting, then married women. Higher parity and not managing financially were associated with relapse for single women. For married women the greatest risk of relapse was associated with having a partner who also relapsed. Women whose husbands continued to smoke had an increased risk of relapse but those whose husbands had sustained a quit were protected. Other significant risk factors were not breastfeeding, having other children and drinking at moderate frequencies. A similar pattern was seen for cohabiting women, except that having a partner who quit but then relapsed did not appear to confer an additional risk. Drinking at moderate intervals (only) was associated with relapse but breastfeeding and parity were not. The association between married couple relapse was not evident when only the husband's smoking status during the pregnancy was considered, indicating that partner follow-up is important post-partum. Risk factors for relapse appear to differ according to marital status. A 'one size fits all' package of post-partum relapse prevention is unlikely to be an appropriate intervention strategy.

Indexed as

Marital StatusMaternal BehaviorPostpartum PeriodAdultCohort StudiesFemaleHumansLogistic ModelsParityPregnancyRisk FactorsSecondary PreventionSmokingSmoking CessationSocial ClassSocial Support

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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.