Evidence map›Paper›PMID 31606389›Full record

ArticleJournal of pediatric and adolescent gynecology2020

Knowledge, Behaviors, and Social Factors That Influence Pregnancy Weight Gain among Youth Ages 16-24 Years.

Leigh Morrison, Melissa DeJonckheere, Lauren P Nichols, D Grace Smith, Melissa A Plegue, Kimberly McKee, Karissa Koomen, Anicia Mirchandani, Emily Adams, Tammy Chang

Abstract read
In one paragraph

Article in Journal of pediatric and adolescent gynecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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, 9 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Leigh MorrisonDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan. Electronic address: morrisol@med.umich.edu.
Melissa DeJonckheereDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
Lauren P NicholsDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
D Grace SmithSchool of Kinesiology, University of Michigan, Ann Arbor, Michigan.
Melissa A PlegueDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
Kimberly McKeeDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
Karissa KoomenDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
Anicia MirchandaniUniversity of Michigan Medical School, University of Michigan, Ann Arbor, Michigan.
Emily AdamsHarvard Medical School, Harvard University, Boston, Massachusetts.
Tammy ChangDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · USHarvard University · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Speaking Their Language: Using Social Media and Texting to Create an Adolescent-Centered Approach to Healthy Weight Gain During PregnancyK23HD083527 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHANG, TAMMY · 2016 to 2020
$817k
NICHD NIH HHS K23 HD083527NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

STUDY

objectiveA large proportion (50%-75%) of youth (younger than 21 years old) who become pregnant gain more weight during pregnancy than is recommended by the National Academy of Medicine. Excess weight gain during pregnancy is a strong risk factor for long-term obesity among mothers and their infants. There is a significant gap in our understanding of youth's knowledge and behavior related to weight gain during pregnancy. To develop effective interventions for pregnant youth, it is necessary to understand their distinct needs and preferences. Using a youth-centered qualitative approach, the purpose of this study was to explore the knowledge, behaviors, and social factors that influence weight gain during pregnancy for youth.

designParticipants completed weekly text message surveys and semistructured interviews to explore their perspectives of weight gain during pregnancy. Data were analyzed using qualitative thematic analysis on the basis of grounded theory. SETTING AND

participantsPregnant youth ages 16-24 years old recruited from 2 urban, low-income, primary care clinics in Southeast Michigan. INTERVENTIONS, MAIN OUTCOME MEASURES, AND

resultsAmong our sample (N = 54) 4 themes emerged. First, many youths were knowledgeable about healthy behaviors in pregnancy. However, the second theme showed that many youths reported barriers to engaging in these healthy behaviors, including stress, poor motivation, and issues of convenience. Third, they showed inadequate knowledge about exercise in pregnancy, and fourth, many endorsed food cravings that significantly influenced diet choices.

conclusionMany pregnant youths have appropriate knowledge about healthy behaviors during pregnancy, but face many youth-specific barriers to achieving these behaviors. Interventions should address logistical challenges (eg, food access, cost, transportation) to healthy behaviors in pregnancy to make healthy diet and exercise more convenient for pregnant youth.

Indexed as

Gestational Weight GainHealth BehaviorHealth Knowledge, Attitudes, PracticeAdolescentAdultExerciseFemaleHumansPovertyPregnancySocioeconomic FactorsSurveys and QuestionnairesText MessagingYoung AdultAdolescentGestational weight gainHealthy behaviorsPregnancyPregnancy weight gainPregnantTeenText messagingWeight gainYouth

Identifiers

PMID31606389
PMCPMC6981007
OpenAlexW2979326648

What OpenQuestion holds

Textmetadata
LicenceTDM
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.