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Record W4386805153 · doi:10.1016/j.heliyon.2023.e20078

Observational cohort study of highly functioning community-dwelling older adults to assess their sarcopenic status, leisure physical activity, and quality of life over 12-months

2023· article· en· W4386805153 on OpenAlexafffundabout
Angela Juby, C.M.J. Davis, S. Minimaana, D.R. Mager

Bibliographic record

VenueHeliyon · 2023
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaAlberta Health Services
KeywordsObservational studyQuality of life (healthcare)GerontologyCohortPhysical activityMedicineCohort studySarcopeniaPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Background: The prevalence of sarcopenia varies depending on the cohort evaluated, and the diagnostic criteria used. Older adults with sarcopenia report lower quality of life than their non-sarcopenic peers. Leisure physical activity is reported to have a variable effect on sarcopenic status. Most studies to date, have been done in "vulnerable" populations, with fewer done on independent community-dwelling older adults. None have been done in an Alberta, Canada population. Objectives: To prospectively evaluate the sarcopenic status of independent community-dwelling older Albertan adults; whether this changed over 12-months; and any association with self-reported leisure activity or quality of life. Methods: Independent community-dwelling older adults were invited to participate in a 12-month observational study. Assessments were done at baseline, 6 and 12-months for physical function (TUG, SPPB, gait speed, Tinetti, grip strength), muscle mass (DXA, arm and calf circumference), body fat (skinfold, DXA), reported daily exercise (aerobic, resistance), quality of life (EQ5D), and laboratory parameters. European Working Group on Sarcopenia in Older People (EWGSOP) definitions of sarcopenic status were used. Results: All 50 participants (11 male), were independent of all basic activities of daily living at baseline, and most instrumental activities (some needed assistance with driving or finances). They had an average age of 75.8 (67-90) years, with average MMSE and MoCA cognitive scores of 28.1/30 (20-30) and 24.8/30 (14-30) respectively. Eight participants dropped out prior to their first DXA test. Of the remaining 42, 17 participants (5 male) fulfilled the EWGSOP revised criteria for probable, pre-sarcopenia, or sarcopenia, giving a rate of baseline total sarcopenia of 40.5% in this community-dwelling sample. The majority were pre-sarcopenic (28.6%), and sarcopenia was present only in 7.1%. The total sarcopenia group had a lower BMI (25.6 ± 5.1 versus 29 ± 5, p = 0.01), less body fat by skinfold measurement (36.4 ± 6.5 versus 39.3 ± 8.1, p = 0.01) and lower mid-calf (35.6 ± 3.2 versus 37.6 ± 3.4, p = 0.04) and mid-arm (29.1 ± 2.5 versus 31.9 ± 3.5, p = 0.02) circumferences when compared to their non-sarcopenic peers. After 12-months, 39 participants remained in the study. Of these, the sarcopenic status of 7 improved, 10 declined, with the remaining 56% not changing. There were no statistically significant differences in baseline laboratory parameters between the groups, including 25(OH)D status. But, of the status decliners, 40% had suboptimal 25(OH)D at baseline. Self-reported leisure activity (both total time and frequency) was not associated with sarcopenic status at 12-months. EuroQol -5D was not associated with sarcopenic status. Conclusions: The rate of sarcopenia was 7.1%, but the total rate of pre, probable and sarcopenia in this highly functioning, community-dwelling older adult cohort was 40.5%. In the majority (75%), there was either no change, or an improvement, in their sarcopenic status over 12-months. There was no association identified with self-reported leisure activity or quality of life in this cohort.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.200
GPT teacher head0.408
Teacher spread0.208 · 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 designObservational
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".

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Citations0
Published2023
Admission routes3
Has abstractyes

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