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Record W4402421508 · doi:10.1007/s12119-024-10268-2

“Until COVID-19 Do Us Part”: A Qualitative Study on Perceived Sexual Intimacy and Mental Health in Heterosexual Older Couples During The Covid-19 Pandemic

2024· article· en· W4402421508 on OpenAlexaff
Sofia von Humboldt, Gail Low, Isabel Leal

Bibliographic record

VenueSexuality & Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsMacEwan University
FundersFundação para a Ciência e a Tecnologia
KeywordsCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Mental healthPsychologyQualitative researchVirologyMedicinePsychiatrySociologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract This study aims to explore the influence of the COVID-19 pandemic on heterosexual older couples’ sexual intimacy and in relation to their mental health. A content analysis of the ideas and insights shared by 391 older persons (between 65 and 87 years of age) from three different countries was most instructive. The most frequent themes were less sexual satisfaction (68%) and less sexual desire (67%). In terms of mental health, the most frequent themes included less anxiety and distress (78%) and greater attention to negative emotional states (55%) Cultural differences emerged, with Brazilian and Portuguese participants more frequently reporting negative themes compared to British participants, who emphasized stronger emotional bonds. As the COVID-19 pandemic continues to unfold, ongoing research and interventions should prioritize understanding and addressing the implications of reduced physical contact and heightened emotional stress on sexual intimacy.

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)0.004
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.103
GPT teacher head0.455
Teacher spread0.352 · 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 designQualitative
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

Citations2
Published2024
Admission routes1
Has abstractyes

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