MétaCan
Menu
Back to cohort
Record W3182402351 · doi:10.1590/0034-7167-2020-0998

Sexuality and assessment of physical and psychological symptoms of older adults in outpatient care

2021· article· en· W3182402351 on OpenAlexaboutno aff
Natalia Coelho Marques da Silva, Luana Baldin Storti, Gabriella Santos Lima, Renata Karina Reis, Thaís França de Araújo, Luciana Kusumota

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2021
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsSadnessAnxietyFeelingHuman sexualityClinical psychologyOutpatient clinicPsychologyObservational studyDescriptive statisticsCross-sectional studyMedicinePsychiatryAnger

Abstract

fetched live from OpenAlex

OBJECTIVE: to analyze the relationship between affective and sexual experiences and the intensity of physical and psychological symptoms of older adults. METHODS: observational, cross-sectional and analytical study, guided by the STROBE tool, carried out in a geriatric outpatient clinic. Sociodemographic and health questionnaire, Affective and Sexual Experiences Scale for Elderly, Edmonton Symptom Assessment Scale were used. Descriptive statistical analysis and Spearman correlation were performed. RESULTS: forty-five older adults participated, with a mean age of 73.8 years; most (91.1%) were married. The highest averages of symptom intensity were pain (4.9), anxiety (4.8), drowsiness (4.5), and a feeling of well-being (4.5). There was a negative correlation between sadness and the dimensions of sexual activity and affective relationships (rs=-0.365; p=0.014 and rs=-0.386; p=0.009) and between anxiety and sexual activity (rs=-0.308; p=0.040). CONCLUSION: as sadness increases, affective and sexual experiences are less. The greater the anxiety intensity, the lower the sexual experiences.

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)0.005
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.389
Teacher spread0.335 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicSexual function and dysfunction studiesFrench-language works237,207