Evidence map›Paper›PMID 28083447›Full record

ArticleEmerging adulthood (Print)2016

Sex Differences in Virtual Network Characteristics and Sexual Risk Behavior among Emerging Adults.

Stephanie H Cook, José A Bauermeister, Marc A Zimmerman

Abstract read
In one paragraph

Article in Emerging adulthood (Print), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

3 authors.

Stephanie H CookDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI.
José A BauermeisterDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI.
Marc A ZimmermanDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI.

Funding

Virtual Network Influences on Young Adults' Alcohol and Drug UseRC1DA028061 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZIMMERMAN, MARC A · 2009 to 2010
$926k
HIV/AIDS risk among young men who use the InternetK01MH087242 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAUERMEISTER, JOSE ARTURO · 2010 to 2013
$531k
NIDA NIH HHS RC1 DA028061NIMH NIH HHS K01 MH087242
6 · The paper itself

Abstract

Emerging adults (EAs)ages 18 to 24 account for a large proportion of all sexually transmitted infections (STIs), HIV infections, and unintended pregnancies in the United States. Given the increased influence of online media on decision-making, we examined how EA online networks were associated with sexual risk behaviors. We used egocentric network data collected from EAs aged 18 to 24 years old across the United States (N=1,687) to examine how online norms (e.g., acceptance of HIV infections, other STIs, and pregnancy) and network characteristics (i.e., network size and density; ties' closeness, race, age, and sex similarities) were associated with participants' unprotected vaginal intercourse (UVI) in the last 30 days. Findings suggested that in male EAs, there was a strong association between sexual norms, structural characteristics, and sexual risk behavior compared to females. Researchers and practitioners may wish to address online peer norms and EAs' online network composition when developing online sexual risk prevention tools.

Indexed as

emerging adulthoodHIVOnline social networkssex

Identifiers

PMID28083447
PMCPMC5223951

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.