Evidence map›Paper›PMID 37652745›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2023

Characterizing Twitter chatter about temporary alcohol abstinence during "Dry January".

Alex M Russell, Ben N Montemayor, Shawn C Chiang, Plangkat J Milaham, Adam E Barry, Hsien-Chang Lin, Brandon G Bergman, Philip M Massey

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. A scoping review of Dry January: evidence and future directions.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025
    Article
  3. Article
  4. 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.

Alex M RussellRecovery Research Institute, Massachusetts General Hospital and Harvard Medical School, 151 Merrimac St., Floor 4, Boston, MA 02114, United States.ORCID 0000-0002-8182-4057
Ben N MontemayorDepartment of Health Behavior, Texas A&M University, College Station, TX 77843, United States.
Shawn C ChiangDepartment of Health Behavior, Texas A&M University, College Station, TX 77843, United States.
Plangkat J MilahamDepartment of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, United States.
Adam E BarryDepartment of Health Behavior, Texas A&M University, College Station, TX 77843, United States.
Hsien-Chang LinDepartment of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN 47405, United States.
Brandon G BergmanRecovery Research Institute, Massachusetts General Hospital and Harvard Medical School, 151 Merrimac St., Floor 4, Boston, MA 02114, United States.
Philip M MasseyDepartment of Community Health Sciences, University of California, Los Angeles, Los Angeles, CA 90095, United States.

Funding

Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
Hashtag HPV: Engaging parents through social media to increase HPV vaccinationR01CA229324 · NCI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI LO, WEN-JUO · 2019 to 2022
$1.9M
Funded extension request for "Expanding recovery support for emerging adults with alcohol use disorder: Training in the science of social network sites"K23AA025707 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI BERGMAN, BRANDON G. · 2018 to 2023
$1.0M
Characterizing alcohol use disorder recovery-related exposures on Twitter: Content, cluster, and network analysisK01AA030614 · NIAAA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Alex Russell · 2022 to 2026
$734k
NCI NIH HHS R01 CA229324NIAAA NIH HHS K01 AA030614NIAAA NIH HHS K23 AA025707NIDA NIH HHS R01 DA049154NIDA NIH HHS R01DA049154NIH HHS K01AA030614
6 · The paper itself

Abstract

With roots as a public health campaign in the United Kingdom, "Dry January" is a temporary alcohol abstinence initiative encouraging participants to abstain from alcohol use during the month of January. Dry January has become a cultural phenomenon, gaining increasing news media attention and social media engagement. Given the utility of capturing naturalistic discussions around health topics on social media, we examined Twitter chatter about Dry January and associated temporary abstinence experiences. Public tweets were collected containing the search terms "dry january" or "dryjanuary" posted between 15 December and 15 February across 3 years (2020-2). A random subsample stratified by year (n = 3145) was pulled for manual content analysis by trained coders. Final codebook accounted for user sentiment toward Dry January, user account type, and themes related to Dry January participation. Engagement metadata (e.g. likes) were also collected. Though user sentiment was mixed, most tweets expressed positive or neutral sentiment toward Dry January (74.7%). Common themes included encouragement and support for Dry January participation (14.1%), experimentation with and promotion of nonalcoholic drinks (14.0%), and benefits derived from Dry January participation (10.4%). While there is promise in the movement to promote positive alcohol-related behavior change, increased efforts to deliver the campaign within a public health context are needed. Health communication campaigns designed to inform participants about evidence-based treatment and recovery support services proven to help people quit or cut down on their drinking are likely to maximize benefits.

Indexed as

Social MediaAlcohol AbstinenceHealth PromotionHumansMass MediaPublic HealthalcoholdrinkingDry Januarysocial mediaTwitter

Identifiers

PMID37652745
PMCPMC10642608

What OpenQuestion holds

Textmetadata
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.