Evidence map›Paper›PMID 37252791›Full record

ArticleJournal of medical Internet research2023

Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study.

Yiding Cao, Suraj Rajendran, Prathic Sundararajan, Royal Law, Sarah Bacon, Steven A Sumner, Naoki Masuda

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yiding CaoDepartment of Systems Science and Industrial Engineering, Binghamton University, State University of New York, Binghamton, NY, United States.ORCID 0000-0002-2392-3700
Suraj RajendranTri-Institutional Program in Computational Biology and Medicine, New York, NY, United States.ORCID 0000-0002-8149-0157
Prathic SundararajanDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-0720-8782
Royal LawDivision of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-5746-5373
Sarah BaconOffice of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-5380-6911
Steven A SumnerOffice of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3805-7235
Naoki MasudaDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, United States.ORCID 0000-0003-1567-801X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse childhood experiences (ACEs), which include abuse and neglect and various household challenges such as exposure to intimate partner violence and substance use in the home, can have negative impacts on the lifelong health of affected individuals. Among various strategies for mitigating the adverse effects of ACEs is to enhance connectedness and social support for those who have experienced them. However, how the social networks of those who experienced ACEs differ from the social networks of those who did not is poorly understood.

objectiveIn this study, we used Reddit and Twitter data to investigate and compare social networks between individuals with and without ACE exposure.

methodsWe first used a neural network classifier to identify the presence or absence of public ACE disclosures in social media posts. We then analyzed egocentric social networks comparing individuals with self-reported ACEs with those with no reported history.

resultsWe found that, although individuals reporting ACEs had fewer total followers in web-based social networks, they had higher reciprocity in following behavior (ie, mutual following with other users), a higher tendency to follow and be followed by other individuals with ACEs, and a higher tendency to follow back individuals with ACEs rather than individuals without ACEs.

conclusionsThese results imply that individuals with ACEs may try to actively connect with others who have similar previous traumatic experiences as a positive connection and coping strategy. Supportive interpersonal connections on the web for individuals with ACEs appear to be a prevalent behavior and may be a way to enhance social connectedness and resilience in those who have experienced ACEs.

Indexed as

Child AbuseSubstance-Related DisordersChildHumansInternetSocial NetworkingSocial SupportabuseACEadverse childhood experiencebehaviorchildhoodcopingcoping strategyinterpersonal connectionneglectRedditresiliencesocial connectionsocial networkssubstance useTwitterviolenceweb-based connection

Identifiers

PMID37252791
PMCPMC10265411

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Registered trials

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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.