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Record W7018511953

Deterioro cognitivo en usuarios ambulatorios de instituciones que atienden problemas de adicciones en la ciudad de Cajamarca, según sexo, 2022

2023· dissertation· es· W7018511953 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2023
Typedissertation
Languagees
FieldPsychology
TopicHistorical and Modern Theater Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentCognitionLife style
DOInot available

Abstract

fetched live from OpenAlex

El objetivo de la investigación fue determinar la diferencia significativa de deterioro cognitivo por el consumo de sustancias psicoactivas en usuarios ambulatorios de instituciones que atienden problemas de adicciones en la ciudad de Cajamarca, según sexo, 2022. Se tuvo una muestra de 50 usuarios. Utilizándose un enfoque cuantitativo, diseño no experimental y alcance descriptivo, además aplicando el Test de Montreal Cognitive Assessment (MoCA) y una ficha sociodemográfica creada por los tesistas. En los resultados se encontró que la diferencia significativa de deterioro cognitivo según el sexo (p = .145), dando a entender que no existe diferencia de deterioro cognitivo según sexo. Asimismo, se encontró un 50% de evaluados tienen una presencia leve de deterioro cognitivo. Además, se evidenció un 70% (hombres) y un 28% (mujeres) presentan deterioro cognitivo. Finalmente, la etapa de la vida donde se aprecia mayor inicio de consumo de sustancia y mayor deterioro cognitivo, es la adolescencia. Se concluye que no existe diferencia de deterioro cognitivo presentado en hombres y mujeres por consumo de sustancias psicoactivas, pero, se evidenció mayor prevalencia de deterioro cognitivo en hombres que en mujeres, cuanto más precoz sea el inicio de consumo de sustancias, mayor será el deterioro cognitivo en el futuro.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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