Evidence map›Paper›PMID 29428353›Full record

ArticleChild abuse & neglect2018

Structural characteristics of the online social networks of maltreated youth and offline sexual risk behavior.

Sonya Negriff, Thomas W Valente

Abstract read
In one paragraph

Article in Child abuse & neglect, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Depressive Symptoms Predict Characteristics of Online Social Networks.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
    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

2 authors.

Sonya NegriffUniversity of Southern California, Dworak-Peck School of Social Work, University Park Campus, MRF, MC 0411, Los Angeles CA 90089, United States. Electronic address: negriff@usc.edu.
Thomas W ValenteUniversity of Southern California, Department of Preventive Medicine, Keck School of Medicine, 2001 N. Soto St., Los Angeles, CA 90034, United States. Electronic address: tvalente@usc.edu.

Funding

IMPACT OF NEGLECT ON ADOLESCENT DEVELOPMENTR01HD039129 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TRICKETT, PENELOPE K · 2000 to 2006
$3.4M
Online Social Networks and Risky Sexual Behavior in Maltreated AdolescentsK01HD069457 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEGRIFF, SONYA L · 2012 to 2016
$668k
NICHD NIH HHS K01 HD069457NICHD NIH HHS R01 HD039129
6 · The paper itself

Abstract

Maltreated youth are at risk for exposure to online sexual content and high-risk sexual behavior, yet characteristics of their online social networks have not been examined as a potential source of vulnerability. The aims of the current study were: 1) to test indicators of size (number of friends) and fragmentation (number of connections between friends) of maltreated young adults' online networks as predictors of intentional and unintentional exposure to sexual content and offline high-risk sexual behavior and 2) to test maltreatment as a moderator of these associations. Participants were selected from a longitudinal study on the effects of child maltreatment (n = 152; Mean age 21.84 years). Data downloaded from Facebook were used to calculate network variables of size (number of friends), density (connections between friends), average degree (average number of connections for each friend), and percent isolates (those not connected to others in the network). Self-reports of intentional and unintentional exposure to online sexual content and offline high-risk sexual behavior were the outcome variables. Multiple-group path modeling showed that only for the maltreated group having a higher percent of isolates in the network predicted intentional exposure to online sexual content and offline high-risk sexual behavior. An implication of this finding is that the composition of the Facebook network may be used as a risk indicator for individuals with child-welfare documented maltreatment experiences.

Indexed as

Child AbuseRisk-TakingSexual BehaviorSocial MediaSocial NetworkingAdolescentAdultChildFemaleFriendsHumansLongitudinal StudiesMaleRisk FactorsYoung AdultFacebookMaltreatmentOnline social networksSexual risk behaviorSocial network analysis

Identifiers

PMID29428353
PMCPMC6081274

What OpenQuestion holds

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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.