Evidence map›Paper›PMID 29447601›Full record

ArticleJournal of American college health : J of ACH

Examining the influence of gender and sexual motivation in college hookups.

Jessica A Blayney, Melissa A Lewis, Debra Kaysen, Jennifer P Read

Abstract read
In one paragraph

Article in Journal of American college health : J of ACH. 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.

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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

4 authors.

Jessica A Blayneya Department of Psychology , SUNY - University at Buffalo , Buffalo , New York , USA.
Melissa A Lewisb Department of Psychiatry , University of Washington , Seattle , Washington , USA.
Debra Kaysenb Department of Psychiatry , University of Washington , Seattle , Washington , USA.
Jennifer P Reada Department of Psychology , SUNY - University at Buffalo , Buffalo , New York , USA.

Funding

Informing Alcohol-Related Risk Intervention with the Prototype Willingness ModelR01AA021379 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEWIS, MELISSA A · 2013 to 2017
$2.4M
Alcohol-Related Risky Sex PreventionK01AA016966 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEWIS, MELISSA A · 2007 to 2011
$669k
NIAAA NIH HHS K01 AA016966NIAAA NIH HHS R01 AA021379
6 · The paper itself

Abstract

objectiveHooking up is common in college, and has been linked to heavy drinking. Hookups have positive as well as negative consequences, and thus the motivations for hooking up are complex. Yet, little research has focused on these motivations. The present study examined the role that gender and drinking patterns play in the relationship between sexual motivation and penetrative hookups.

participantsHeavy drinking college students (N = 396) completed online surveys between September/October 2009.

methodSexual motivation, alcohol, and hooking up were assessed.

resultsEnhancement motives and drinking frequency predicted more frequent oral and vaginal sex when hooking up, while peer and partner motives predicted anal sex. Men endorsed greater enhancement motives, peer motives, and hookup oral and vaginal sex. For men, coping motives predicted oral and vaginal sex and peer motives predicted anal sex.

conclusionsResults provide greater insight into the reasons why college students engage in penetrative hookups.

Indexed as

UniversitiesAdolescentAlcohol DrinkingAlcohol Drinking in CollegeFemaleHumansMaleMotivationPeer GroupSex FactorsSexual BehaviorStudentsSurveys and QuestionnairesYoung AdultCollege studentsgender differenceshooking upsexual behaviorssexual motivation

Identifiers

PMID29447601
PMCPMC6093797

What OpenQuestion holds

Textmetadata
LicenceTDM
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.