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Record W3106088665 · doi:10.1016/j.jsxm.2020.10.004

To Have or Not to Have Sex? COVID-19 and Sexual Activity Among Chinese-Speaking Gay and Bisexual Men in Hong Kong

2020· article· en· W3106088665 on OpenAlexfundno aff
Yiu Tung Suen, Randolph C. H. Chan, Eliz Miu Yin Wong

Bibliographic record

VenueThe Journal of Sexual Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaResearch Grants Council, University Grants Committee
KeywordsCoronavirus disease 2019 (COVID-19)PsychologyHomosexualitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Men who have sex with men2019-20 coronavirus outbreakMale HomosexualityGender studiesClinical psychologyDemographyMedicineSociologyHuman immunodeficiency virus (HIV)Family medicineVirologyPsychoanalysisSyphilis

Abstract

fetched live from OpenAlex

BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has fundamentally changed daily routine, including sexual activity. However, most research on sexual activity during the COVID-19 pandemic focused on heterosexual individuals. The only study so far on men who have sex with men was conducted in the United States. AIM: Our study expands the understanding of sexual activity during the COVID-19 pandemic by studying gay and bisexual men in Hong Kong. Although sexual desire and sexual activity continue to be important aspects of one's life during the COVID-19 pandemic, there are COVID-19-related barriers to having sex. This study therefore examined the association between sexual desire, COVID-19-related barriers, and whether to engage in sexual activity or not during the COVID-19 pandemic. METHODS: 857 cisgender sexual minority people in Hong Kong participated in an online survey study, and for this article, only male participants were included in the analysis, yielding an analytical sample of 376 gay and bisexual men. OUTCOMES: Participants were asked to assess their sexual desire (ie, sexual drive and sexual motivation), COVID-19-related barriers (ie, perceived difficulties to have sex with another person during the pandemic and perceived risk of COVID-19 infection), and sexual activity during the COVID-19 pandemic. RESULTS: It was found that while sexual desire remained prevalent among the gay and bisexual men, COVID-19-related barriers were also commonly observed. Sexual drive and sexual motivation were positively associated with sexual activity. Perceived difficulties to have sex with another person during the pandemic and perceived risk of COVID-19 infection were negatively predictive of engaging in sexual activity, after controlling for general sexual desire. CLINICAL IMPLICATIONS: Understanding the ambivalence and driving and inhibiting factors for having sex during the COVID-19 pandemic can provide a new framework for understanding people's sexual activity during an unprecedented scale of the pandemic. It is likely that abstinence would not work as the respondents expressed strong sexual desire and that the pandemic is going to last for a long time. Governments, policy makers, and sexual scientists need to work together to come up with practicable, feasible, and easy-to-follow guidelines for having sex during the pandemic. STRENGTH & LIMITATIONS: This is one of the first studies to examine the impact of COVID-19 on sexual activity among gay and bisexual men. The results should be interpreted with caution because of the use of cross-sectional design and nonprobability sampling. CONCLUSION: Sexual desire and COVID-19-related barriers serve as driving and inhibiting factors in explaining whether or not people have sex during the COVID-19 pandemic. Suen YT, Chan RCH, Wong EMY. To Have or Not to Have Sex? COVID-19 and Sexual Activity Among Chinese-Speaking Gay and Bisexual Men in Hong Kong. J Sex Med 2021;18:29-34.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.141
GPT teacher head0.451
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2020
Admission routes1
Has abstractyes

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