Evidence map›Paper›PMID 27829393›Full record

ArticleBMC pregnancy and childbirth2016

Advice given by community members to pregnant women: a mixed methods study.

Bianca A Verma, Lauren P Nichols, Melissa A Plegue, Michelle H Moniz, Manisha Rai, Tammy Chang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Development and Validation of a Protocol for Pregnant Women Based on the Brazilian Dietary Guidelines.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Article
  2. Article
  3. Article
  4. Healthcare provider advice on gestational weight gain: uncovering a need for more effective weight counselling.Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology · 2018
    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

6 authors at 2 institutions in 1 country.

Bianca A VermaDepartment of Pediatrics, University of North Carolina, 260 MacNider Building CB #7220, 321 S. Columbia Street, Chapel Hill, NC, 27599, USA.
Lauren P NicholsDepartment of Family Medicine, University of Michigan, 1018 Fuller Street, Ann Arbor, MI, 48104, USA.
Melissa A PlegueDepartment of Family Medicine, University of Michigan, 1018 Fuller Street, Ann Arbor, MI, 48104, USA.
Michelle H MonizDepartment of Obstetrics & Gynecology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Manisha RaiUniversity of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA.
Tammy ChangDepartment of Family Medicine, University of Michigan, 1018 Fuller Street, Ann Arbor, MI, 48104, USA. tachang@med.umich.edu.ORCID 0000-0002-3580-9438
University of Michigan · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking and excess weight gain during pregnancy have been shown to have serious health consequences for both mothers and their infants. Advice from friends and family on these topics influences pregnant women's behaviors. The purpose of our study was to compare the advice that community members give pregnant women about smoking versus the advice they give about pregnancy weight gain.

methodsA survey was sent via text messaging to adults in a diverse, low-income primary care clinic in 2015. Respondents were asked what advice (if any) they have given pregnant women about smoking or gestational weight gain and their comfort-level discussing the topics. Descriptive statistics were used to characterize the sample population and to determine response rates. Open-ended responses were analyzed qualitatively using grounded theory analysis with an overall convergent parallel mixed methods design.

resultsRespondents (n = 370) were 77 % female, 40 % black, and 25 % reported education of high school or less. More respondents had spoken to pregnant women about smoking (40 %, n = 147) than weight gain (20 %, n = 73). Among individuals who had not discussed either topic (n = 181), more reported discomfort in talking about weight gain (65 %) compared to smoking (34 %; p < 0.0001). Advice about smoking during pregnancy (n = 148) was frequently negative, recommending abstinence and identifying smoking as harmful for baby and/or mother. Advice about weight gain in pregnancy (n = 74) revealed a breadth of messages, from reassurance about all weight gain ("Eat away" or "It's ok if you are gaining weight"), to specific warnings against excess weight gain ("Too much was dangerous for her and the baby.").

conclusionsMany community members give advice to pregnant women. Their advice reveals varied perspectives on the effects of pregnancy weight gain. Compared to a nearly ubiquitous understanding of the harms of smoking during pregnancy, community members demonstrated less awareness of and willingness to discuss the harms of excessive weight gain. Beyond educating pregnant women, community-level interventions may also be important to ensure that the information pregnant women receive supports healthy behaviors and promotes the long-term health of both moms and babies.

Indexed as

SmokingWeight GainAdultFamilyFemaleFriendsHealth BehaviorHealth EducationHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPregnancyPrenatal CareSurveys and QuestionnairesText MessagingAdviceCommunity healthFamilyFriendsPregnancySmokingWeight gain

Identifiers

PMID27829393
PMCPMC5103593
OpenAlexW2549368809

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.