Evidence map›Paper›PMID 31201032›Full record

ArticleThe Journal of pediatrics2019

Implications of Mothers' Social Networks for Risky Infant Sleep Practices.

Rachel Y Moon, Rebecca F Carlin, Benjamin Cornwell, Anita Mathews, Rosalind P Oden, Yao I Cheng, Linda Y Fu, Jichuan Wang

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. The importance of community resources for breastfeeding.International breastfeeding journal · 2024
    Article
  7. Article
  8. Article
  9. Racial differences in the impact of maternal smoking on sudden unexpected infant death.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Impact of Personal Social Network Types on Breastfeeding Practices in United States-Born Black and White Women.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2021
    Article
  15. Article
  16. Article
  17. The Influence of Social Networks and Norms on Breastfeeding in African American and Caucasian Mothers: A Qualitative Study.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2019
    Article
  18. 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

8 authors.

Rachel Y MoonDepartment of Pediatrics, University of Virginia, Charlottesville, VA. Electronic address: rym4z@virginia.edu.
Rebecca F CarlinGoldberg Center for Community Pediatric Health, Children's National Health System, Washington, DC; Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC.
Benjamin CornwellDepartment of Sociology, Cornell University, Ithaca, NY.
Anita MathewsGoldberg Center for Community Pediatric Health, Children's National Health System, Washington, DC.
Rosalind P OdenGoldberg Center for Community Pediatric Health, Children's National Health System, Washington, DC.
Yao I ChengCenter for Translational Science, Children's National Health System, Washington, DC.
Linda Y FuGoldberg Center for Community Pediatric Health, Children's National Health System, Washington, DC; Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC.
Jichuan WangCenter for Translational Science, Children's National Health System, Washington, DC; Department of Epidemiology and Biostatistics, George Washington University, Washington, DC.

Funding

The Influence of Social Networks on Disparities in Postneonatal Infant MortalityR01MD007702 · NIMHD · UNIVERSITY OF VIRGINIA · PI COLSON, EVE R, MOON, RACHEL Y · 2014 to 2025
$5.4M
NIMHD NIH HHS R01 MD007702
6 · The paper itself

Abstract

objectiveTo describe the structure of networks in a cohort of mothers and to analyze associations of social network characteristics and norms with infant sleep practices. STUDY

designWe recruited a prospective cohort of mothers with infants <6 months of age from January 2015 to December 2016. Mothers completed a survey about their personal social networks and infant care practices. Latent class analysis identified unobserved network types. Binary statistics and path analysis were performed.

resultsOverall, 402 mothers were surveyed. Latent class analysis identified 2 a priori unknown social network types: "exclusive" (restricted) and "expansive." Mothers who were black, younger, unmarried, less educated, and of lower socioeconomic status were more likely to have exclusive networks than expansive networks. Mothers with exclusive networks were more likely to be exposed to the norm of soft bedding (P = .002). Exposure to norms of non-supine infant placement, bedsharing, and soft bedding use within one's network was associated with engaging in these practices (P < .0001 for each). First-time mothers were more likely to pay attention to a non-supine norm and place infants in a non-supine position. Black mothers and first-time mothers were more likely to pay attention to the norm and use soft bedding.

conclusionsBoth the type of networks mothers have and the norms regarding infant sleep practices that circulate within these networks differed by race. Network norms were strongly associated with infant sleep practices and may partially explain the racial disparity therein.

Indexed as

Infant CareMaternal BehaviorMothersRisk-TakingSleepSocial NetworkingAdultFemaleHumansInfantInfant, NewbornProspective Studiesinfant mortalitysafe sleepSIDSsocial networkssocial norms

Identifiers

PMID31201032
PMCPMC6707860

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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.