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Investigating the Factors Affecting Sexual Myths in Women and Men Based on the Biopsychosocial Model: A Scoping Review

2024· review· en· W4403965407 on OpenAlexaboutno aff
Faezeh Habibnejad Roushan, Marzieh Azizi, Farangis Habibi, Soghra Khani

Bibliographic record

VenueCurrent Women s Health Reviews · 2024
Typereview
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiopsychosocial modelMedicineMythologyPsychotherapistPsychiatryPsychology

Abstract

fetched live from OpenAlex

Background: Sexual myths are mainly devoid of any substantial evidence and are passed on by word of mouth. Myths about sexuality may thus diminish the quality of sexual activities, cause sexual dysfunctions, including erectile dysfunction (impotence), vaginismus, difficulty reaching an orgasm, and premature ejaculation, and make individuals feel dread, anxiety, and failure or inadequacy, which can have adverse effects on their sexual identity. Objective: This study investigated the factors affecting sexual myths in women and men based on the biopsychosocial model. Methods: In this scoping review, the research databases of PubMed, Google Scholar, Magiran, PsycINFO, IranDoc, Ovid, ProQuest, Scientific Information Database (SID), and the Cochrane Library were systematically searched. For this purpose, a systematic search was conducted to retrieve the relevant articles from November 3 to 21, 2023, using the keywords of “sexual myth, sexual beliefs, wrong beliefs, dysfunctional sexual beliefs, sexuality, opinions, and associated factors.” The Newcastle-Ottawa Scale (NOS) further evaluated the quality of the included studies. The data were then extracted from all the articles that met the eligibility criteria based on the study objectives. Results: In total, 12 articles were reviewed, whose data were grouped into three general categories, viz., (i) biological factors (i.e., age and gender), (ii) psychological factors (that is, sexual dysfunction, political opinions, opinions on virginity), and (iii) social factors (namely, educational attainment, occupation, place of residence, marital status, type of marriage, age at marriage, premarital sexual experience, parents’ educational attainment, spouse’s educational attainment, number of children, parent’s employment status, spouse’s occupation, primary source of information about sex and feelings about sexual conversations, information about sexual life, academic department, sexual health assessment, and religious beliefs). Conclusion: Biopsychosocial factors could significantly affect sexual myths; therefore, considering their mediating role in providing sex education to women and men is crucial.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.291
GPT teacher head0.495
Teacher spread0.204 · 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 designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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