Evidence map›Paper›PMID 36553899›Full record

ArticleHealthcare (Basel, Switzerland)2022

Understanding Alcohol Use Discourse and Stigma Patterns in Perinatal Care on Twitter.

Fritz Culp, Yuqi Wu, Dezhi Wu, Yang Ren, Phyllis Raynor, Peiyin Hung, Shan Qiao, Xiaoming Li, Kacey Eichelberger

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Fritz CulpCollege of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Yuqi WuArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Dezhi WuCollege of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Yang RenCollege of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
Phyllis RaynorCollege of Nursing, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0002-7311-0978
Peiyin HungArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0002-1529-0819
Shan QiaoArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Xiaoming LiArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Kacey EichelbergerPrisma Health Upstate, University of South Carolina School of Medicine Greenville, Greensville, SC 29605, USA.

Funding

P.A.R.E.N.T.S.S Project - Parents Adopting Recovery-management through Enhanced New Technology for Self-care and Support (for Mothers)K23DA051626 · NIDA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RAYNOR, PHYLLIS ANN · 2021 to 2025
$881k
NIDA NIH HHS K23 DA051626
6 · The paper itself

Abstract

(1) Background: perinatal alcohol use generates a variety of health risks. Social media platforms discuss fetal alcohol spectrum disorder (FASD) and other widespread outcomes, providing personalized user-generated content about the perceptions and behaviors related to alcohol use during pregnancy. Data collected from Twitter underscores various narrative structures and sentiments in tweets that reflect large-scale discourses and foster societal stigmas; (2) Methods: We extracted alcohol-related tweets from May 2019 to October 2021 using an official Twitter search API based on a set of keywords provided by our clinical team. Our exploratory study utilized thematic content analysis and inductive qualitative coding methods to analyze user content. Iterative line-by-line coding categorized dynamic descriptive themes from a random sample of 500 tweets; (3) Results: qualitative methods from content analysis revealed underlying patterns among inter-user engagements, outlining individual, interpersonal and population-level stigmas about perinatal alcohol use and negative sentiment towards drinking mothers. As a result, the overall silence surrounding personal experiences with alcohol use during pregnancy suggests an unwillingness and sense of reluctancy from pregnant adults to leverage the platform for support and assistance due to societal stigmas; (4) Conclusions: identifying these discursive factors will facilitate more effective public health programs that take into account specific challenges related to social media networks and develop prevention strategies to help Twitter users struggling with perinatal alcohol use.

Indexed as

discourseperinatal alcohol usesentimentsocial mediastigmathematic content analysis

Identifiers

PMID36553899
PMCPMC9778089

What OpenQuestion holds

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LicenceCC BY
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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.