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Record W3097649173 · doi:10.6018/eglobal.411601

Home based-Exercise using Mobile Application to Improve Cognitive Functions in Patients with Hypertension: A quesy experimental design

2020· article· es· W3097649173 on OpenAlex
Irma Darmawati, Linlin Lindayani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnfermería Global · 2020
Typearticle
Languagees
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesCognitive impairmentMedicineArtCognitionPsychiatry

Abstract

fetched live from OpenAlex

Objetivo: El propósito de este estudio fue determinar el efecto del ejercicio en el hogar utilizando una aplicación móvil para mejorar las funciones cognitivas en pacientes con hipertensión. Métodos: Este estudio se realizó utilizando un sencillo diseño experimental con un grupo de prueba previa y posterior en un centro de salud pública ubicado en Java Occidental, Indonesia, de febrero a julio de 2019. Un programa de ejercicios basado en dispositivos móviles era una actividad de caminar en casa todos los días durante un mes. La muestra en el estudio se seleccionó mediante muestreo de conveniencia para adultos mayores de 18 años y diagnosticados con hipertensión. La Evaluación Cognitiva de Montreal (MoCA) se utilizó para medir la función cognitiva. Una prueba t pareada utilizada para analizar datos con el nivel de significancia se estableció en 0.05. Resultados: Un total de 120 participantes se inscribieron en este estudio. La edad media de la muestra fue de 56.42 ± 10.6 años, 70 (58.3%) eran hombres, 61 (50.8%) tenían un nivel educativo más bajo y 77 (64.2%) estaban desempleados. La puntuación media de MoCA mostró una mejoría después de la intervención, de 23.3 ± 3.42 a 26.7 ± 2.78, p = 0.010. Más detalladamente, hubo mejoría después de la intervención en el dominio de nomenclatura (2.930.34 vs. 3.141.06, p = 0.003), atención (2.39 ± 0.68 vs. 3.12 ± 1.04, p = 0.001) y abstracción (1.56 ± 0.49 vs. 2.01 ± 0.89, p = 0.043). Conclusión: El uso de una aplicación de ejercicio móvil fue efectivo, fácil de hacer con bajo costo para mejorar la función cognitiva y prevenir la demencia en pacientes hipertensos. Effectiveness Main Goal: The purpose of this study was to determine the effect of home based-exercise using mobile application to improve cognitive functions in patients with hypertension. Methods: This study was conducted using a queasy experimental with one group pre-post test design at a public health center located in West Java, Indonesia on February to July 2019. A mobile-based exercise program was a walking activity at home every day for one month. The sample in the study was selected using convenience sampling to adults aged above 18 years old and diagnosed with hypertension. The Montreal Cognitive Assessment (MoCA) was used to measure cognitive function. A paired t-test used to analyze data with the significance level was set at 0.05. Results: A total of 120 participants were enrolled in this study. The mean age of the sample was 56.42 ± 10.6 years old, 70 (58.3%) were male, 61 (50.8%) had lower education level, and 77 (64.2%) were unemployed. The mean score of MoCA showed improved after intervention, from 23.3 ± 3.42 to 26.7 ± 2.78, p=0.010. In more detail, there were improvement after intervention in domain of naming (2.930.34 vs. 3.141.06, p=0.003), attention (2.39 ± 0.68 vs. 3.12 ± 1.04, p=0.001), and abstraction (1.56 ± 0.49 vs. 2.01 ± 0.89, p=0.043). Conclusion: Using a mobile-exercise App was effective, easy to do with low cost to improve cognitive function and prevent dementia in hypertensive patients.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.320
Teacher spread0.295 · 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