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The influence of using smart products and having hobbies on the cognitive function among the elderly living in a nursing home

2018· article· en· W3031094444 on OpenAlex

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

Venue˜The œJournal of practical nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionHobbyMedicineCognitive Assessment SystemElderly peopleGerontologyBody mass indexActivities of daily livingPsychologyCognitive impairmentPhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Objective To explore the effect of using smart products (including smart phones, computers and other electronic products), as well as having hobbies on their cognitive function in pension agency elderly people, and analyze if there is certain protective effect on cognitive function by using smart products and having hobbies. So as to reduce the risk of mild cognitive impairment in the future. Methods By convenience sampling, 160 residents living in the nursing home of suzhou city (mean age 60 or higher) were selected, and demographic data were collected by using a homemade questionnaire, their cognitive function was investigated by using the Montreal Cognitive Assessment Scale. Results Single factor analysis showed that the score of the elderly who often use smart products in every cognitive field and overall cognitive function were superior to those who could not use smart products, the difference was statistically significant (t=-4.47--2.15, all P < 0.05). The scores of the elderly with hobbies were higher in the overall cognitive function and the other six areas except the orientation, than those who had no hobby, and the differences were statistically significant (t=-6.80--1.81, all P < 0.05). After adjusting for age, gender, body mass index (BMI), cultural level, often using smart products in total cognitive function in the elderly (t=4.842, P < 0.01) and executive function (t=4.008, P < 0.01), attention (t=3.045, P = 0.003), abstract (t=2.135, P = 0.034), delayed recall (t=3.759, P < 0.01), the directional (t=2.866, P = 0.005) of the five areas showed significant correlation. The total cognitive function of the elderly with hobbies (t=3.496, P = 0.001) and the visual spatial execution function (t=3.316, P = 0.001), naming (t=3.241, P = 0.001), abstract (t=2.643, P = 0.009), and delayed recall (t=2.073, P= 0.04) were all significantly correlated. Conclusions Often using smart products and having certain hobbies are protective factors of cognitive function, build corresponding intervention plans for the future, by cultivating the elderly hobby, guiding the elderly using intelligent products and other measures to achieve successful aging, slow the cognitive decline, thus reducing the risk of mild cognitive impairment. Key words: Nursing home; Aged; Smart product; Hobby; Cognitive function

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)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.043
GPT teacher head0.382
Teacher spread0.339 · 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