Evidence map›Paper›PMID 38226760›Full record

ArticleAlcohol, clinical & experimental research2023

Characterizing online social support for alcohol use disorder: A mixed-methods approach.

Jason B Colditz, Kar-Hai Chu, Lily Hsiao, Erica Barrett, Kevin L Kraemer, Sarah L Pedersen

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Effects of participation in a large, online community for substance use disorder recovery: A naturalistic, longitudinal study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
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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

6 authors.

Jason B ColditzDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2811-841X
Kar-Hai ChuDepartment of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2486-8846
Lily HsiaoDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Erica BarrettDepartment of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kevin L KraemerDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sarah L PedersenDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Toward measures and behavioral trials for effective online AUD recovery supportK01AA030809 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jason Colditz · 2023 to 2026
$683k
NCATS NIH HHS TL1 TR001858NCATS NIH HHS TL1-TR001858NIAAA NIH HHS K01 AA030809NIAAA NIH HHS K01-AA030809
6 · The paper itself

Abstract

backgroundOnline social media communities are increasingly popular venues for discussing alcohol use disorder (AUD) and recovery. Little is known about distinct contexts of social support that are exchanged in this milieu, which are critical to understanding the social dynamics of online recovery support.

methodsWe randomly selected one post per day over the span of a year from the StopDrinking recovery forum. Direct responses to posts were double coded within an established theoretical framework of social support. Within a mixed-methods research framework, we quantified the linguistic characteristics of 1386 responses (i.e., text length, complexity, and sentiment) and qualitatively explored themes within and among different types of social support.

resultsEmotional support was most prevalent (74% of responses) and appeared as the sole form of support in 38% of responses. Emotionally supportive responses were significantly shorter, less complex, and more positively valenced than other support types. Appraisal support was also common in 55% of responses, while informational support was identified in only 17%. There was substantial overlap among support types, with 40% of responses including two or more types. Salient themes included the common use of community-specific acronyms in emotional support. Appraisal support conveyed feedback about attitudes and behaviors that are perceived as (un-) favorable for AUD recovery. Informational support responses were composed primarily of recommendations for self-help literature, clinical treatment approaches, and peer recovery programs.

conclusionsSocial support in this sample was primarily emotional in nature, with other types of support included to provide feedback and guidance (i.e., appraisal support) and supplemental recovery resources (i.e., informational support). The provided social support framework can be helpful in characterizing community dynamics among heterogeneous online AUD recovery support forums. This framework could also be helpful in considering changes in support approaches that correspond to progress in recovery.

Indexed as

alcohol use disorderappraisal supportemotional supportinformational supportonline support

Identifiers

PMID38226760
PMCPMC11218862

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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.