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Record W2955001615 · doi:10.5539/gjhs.v11n7p184

Sexuality in Elderly Adults: Study on Knowledge and Attitudes Related to Sexuality in Older Adults

2019· article· en· W2955001615 on OpenAlexvenueno aff
Saldarriaga G. Guillermina, Ruydiaz G. Keydis, Jiménez A. Sindy, Fernández A. Shirley

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityGerontologyNoticePopulationPopulation ageingScale (ratio)MedicinePsychologyReproductive healthGender studiesSociologyEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: Aging is a universal and natural phenomenon that causes structural and physiological changes. It is a process of deterioration, progressive and intrinsic. OBJECTIVE: Determining the level of knowledge and attitudes about sexuality in older adults living in three centers. MATERIALS & METHODS: A cross- sectional descriptive study in 80 elderly adults enrolled and attending three life centers on the City of Cartagena, Questionnaires about Knowledge on Sexual Health of the Elderly (2007) and the Attitude Scale towards Sexuality were applied in the Elderly Adult (Scale ACASAM-MM-2013). RESULTS: On a population of elderly adults, female sex predominated 58%, average age of 74 years, adults widowers 35% of the total population, and 31% maintain a relationship. Older adults reported having inadequate knowledge in relation to the three sessions evaluated, the access section to a couple predominated, they reflected having an average general attitude, being the cognitive and volitional component those of greater significance. CONCLUSION: The attitudes that reflect the elderly is favorable, being so, that the elderly are clear that society notice them regarding sexuality, and are autonomous to express and experience it.

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)0.022
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.049
GPT teacher head0.506
Teacher spread0.457 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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