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Record W4392607924 · doi:10.2298/psi221204012a

Changes in sexual activities and risky sexual behaviors during the COVID-19 pandemic: A systematic review

2024· review· en· W4392607924 on OpenAlexaff
SeyedAhmad SeyedAlinaghi, Amirali Karimi, Pegah Mirzapour, Kowsar Qaderi, Parsa Mohammadi, Mohammad Amin Salehi, Marcarious M. Tantuoyir, Ghazal Arjmand, Elnaz Shahmohamadi, Mehrdad Mahalleh, Shaghayegh Kianzad, Ava Pashaei, Sepideh Hassanpour Khodaei, Amir Masoud Afsahi, Esmaeil Mehraeen

Bibliographic record

VenuePsihologija · 2024
Typereview
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicPsychologySexual behavior2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Clinical psychologyDevelopmental psychologyMedicineVirologyInternal medicine

Abstract

fetched live from OpenAlex

Several studies reported changes in sexual activities during the COVID-19 pandemic. However, there is a lack of comprehensive systematic reviews in this field. We aimed to systematically review the changes in sexual activities and risky sexual behaviors during the COVID-19 pandemic. This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist to improve transparency of our study. The results indicated a considerable decline in the frequency of sexual intercourse, particularly in singles and people with casual dating. Factors associated with sexual activity during the COVID-19 restrictions were depression, stress, lack of intimacy, inability to leave home, work schedule shifting, poor privacy, fear of COVID-19, lack of nightlife, and university educational level. Considering different groups of the population concerning their sexual behaviors is a necessary step in approaching healthy sexual behavior strategies, through which the adverse effects of a pandemic are minimized.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.175
GPT teacher head0.451
Teacher spread0.277 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2024
Admission routes1
Has abstractyes

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