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Record W7117924337 · doi:10.5281/zenodo.18112113

Deterioro cognitivo y sobrecarga en cuidadores primarios de adultos mayores con limitaciones físicas

2025· article· W7117924337 on OpenAlexaboutno aff
Alondra Roldán-Velázquez, Carina López-Pérez, Rosa Elena Morales-Salazar

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldHealth Professions
TopicNursing care and research
Canadian institutionsnot available
Fundersnot available
KeywordsHealthy agingCognitive impairmentElderly peoplePersonaPrimary caregiver

Abstract

fetched live from OpenAlex

Resumen Se ha demostrado que con la edad se pierden ciertas funciones psicomotoras, por lo que las personas son propensas a sufrir accidentes o situaciones de riesgo, generando que requieran cuidadores, los cuales suelen dedicar gran parte de su tiempo a la persona dependiente, provocando un agotamiento físico y emocional, lo que conlleva a una sobrecarga del cuidador. Los cambios cognitivos son una de las principales causas de discapacidad teniendo como factor de riesgo el estrés y la depresión. Objetivo: Determinar si existe asociación entre deterioro cognitivo con la sobrecarga del cuidador de adultos mayores con limitaciones físicas. Métodos: Se realizó un estudio transversal, prospectivo, analítico mediante un muestreo no probabilístico por cuotas en 133 personas, se seleccionó a los derechohabientes mayores de 49 años de ambos sexos, cuidadores de adulto mayores con limitaciones físicas que acudieran a consulta en ambos turnos de la unidad, se aplicó 2 cuestionarios, el Test sobre la carga del cuidador Zarit y la Evaluación Cognitiva Montreal (MOCA) y se recolectaron datos sociodemográficos. La asociación entre la sobrecarga del cuidador y el deterioro cognitivo se determinó a través de la prueba estadística X2. Resultados: Se encontró para la asociación entre sobrecarga del cuidador y deterioro cognitivo que de los 133 participantes 35.3% presentó sobrecarga leve y deterioro cognitivo, mientras que 22.6% de los cuidadores se encontró con sobrecarga intensa y deterioro cognitivo, Se obtuvo un valor de p= 0.009. Conclusión: Se encontró una significancia estadística entre la sobrecarga del cuidador y el deterioro cognitivo. Abstract It has been shown that certain psychomotor functions are lost with age, making people prone to accidents or risky situations, requiring caregivers who often devote much of their time to the dependent person, causing physical and emotional exhaustion, which leads to caregiver overload. Cognitive changes are one of the main causes of disability, with stress and depression being risk factors. Objective: To determine whether there is an association between cognitive impairment and caregiver overload in older adults with physical limitations. Methods: A cross-sectional, prospective, analytical study was conducted using non-probabilistic quota sampling in 133 people. Beneficiaries over the age of 49 of both sexes were selected, as well as caregivers of older adults with physical limitations who attended consultations in both shifts of the unit. Two questionnaires were administered: the Zarit Caregiver Burden Test and the Montreal Cognitive Assessment (MOCA), and sociodemographic data were collected. The association between caregiver burden and cognitive impairment was determined using the X2 statistical test. Results: The association between caregiver burden and cognitive impairment was found in 35.3% of the 133 participants, who presented mild burden and cognitive impairment, while 22.6% of caregivers presented intense burden and cognitive impairment. A p-value of 0.009 was obtained. Conclusion: A statistically significant association was found between caregiver burden and cognitive impairment.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0120.001
Scholarly communication0.0010.000
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0240.015

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 head0.056
GPT teacher head0.361
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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