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Do walking and social support always relate to autonomic nervous system function in later life? Reexamining an age-based moderating model

2023· article· en· W4366819055 on OpenAlexaff
Liang‐Chih Chang, Pei-Chun Hsieh, Fei-Hsin Huang

Bibliographic record

VenueGeriatric Nursing · 2023
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsBrock University
Fundersnot available
KeywordsSocial supportPsychologyGerontologyFunction (biology)Social functionHealthy agingPhysical medicine and rehabilitationMedicineSocial psychology

Abstract

fetched live from OpenAlex

Although walking and social support relate to healthy function of the autonomic nervous system (ANS) in later life, it is unclear whether age groups moderate the relationships of walking frequency and social support with ANS function. To address this area of limited research, we conducted a cross-sectional study with 300 older adults to examine these moderating relationships. Results of multiple regression analysis indicated that walking frequency and social support correlated positively with ANS function. The correlation between walking frequency and ANS function was moderated by age groups, but that between social support and ANS function was not. Therefore, increasing frequency of walking and levels of social support should be considered critical elements of healthy ANS function in later life. However, increasing frequency of walking may be ineffective for old-old adults. We recommend that healthcare practitioners guide old-old adults in seeking sources of social support to promote ANS 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.073
GPT teacher head0.361
Teacher spread0.288 · 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 designOther design
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

Citations2
Published2023
Admission routes1
Has abstractyes

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