Evidence map›Paper›PMID 35132483›Full record

ArticleArchives of sexual behavior2022

Love in the Time of Corona: Predicting Willingness to Engage in Sexting During the First COVID-19-Related Lockdown.

Marina F Thomas, Alice Binder, Jörg Matthes

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

3 authors.

Marina F ThomasDepartment of Communication, University of Vienna, Waehringer Straße 29, 1090, Vienna, Austria. marina.thomas@univie.ac.at.ORCID 0000-0001-7967-2165
Alice BinderDepartment of Media and Communications, University of Klagenfurt, Klagenfurt am Wörthersee, Austria.ORCID 0000-0003-3266-8614
Jörg MatthesDepartment of Communication, University of Vienna, Waehringer Straße 29, 1090, Vienna, Austria.ORCID 0000-0001-9408-955X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When the COVID-19 pandemic began, in early 2020, lockdowns limited the options for physical intimacy and many resorted to technology-mediated forms of intimacy such as sexting. However, it is unclear what predicted willingness to engage in sexting during the lockdown. The present study filled this gap by investigating COVID-19-related social isolation, privacy concerns, age, and gender as predictors of willingness to engage in sexting. We further examined an interaction of COVID-19-related social isolation and privacy concerns on willingness to engage in sexting. We conducted online surveys with 494 young adults (Study 1) and with a quota-based sample of 437 adults (Study 2) in Austria. In both studies, negative binomial regressions revealed a positive effect of COVID-19-related social isolation on willingness to engage in sexting. Privacy concerns hindered young adults in Study 1 from engaging in sexting but not relatively older adults in Study 2. However, in neither study did privacy concerns moderate the effect of COVID-19-related social isolation on willingness to engage in sexting: Even individuals with high privacy concerns were more willing to sext under conditions of social isolation, suggesting that the need for intimacy outweighed the need for privacy protection. Gender had no effect in either study, indicating that men and women used sexting to cope with the unprecedented COVID-19-related situation.

Indexed as

COVID-19AgedCommunicable Disease ControlFemaleHumansLoveMalePandemicsSARS-CoV-2Young AdultCOVID-19LonelinessPrivacy concernsSextingSocial isolationTerror management

Identifiers

PMID35132483
PMCPMC8821842

What OpenQuestion holds

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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.