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Record W3168699094 · doi:10.1093/cdn/nzab041_039

Metabolic Differences During Submaximal, Steady-State Aerobic Exercise between Sarcopenic and Non-Sarcopenic Older Adults

2021· article· en· W3168699094 on OpenAlexaff
Marni E. Shoemaker, Vikkie A. Mustad, Suzette L. Pereira, Zachary M. Gillen, Brianna D. McKay, Jose Lopez-Pedro, Ricardo Rueda, Joel T. Cramer

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsRespiratory quotientSarcopeniaAerobic exerciseMedicineInternal medicineTreadmillAnalysis of varianceFat massSarcopenic obesityEndocrinologyChemistryAnimal scienceObesityBiology

Abstract

fetched live from OpenAlex

To examine differences in metabolic flexibility during submaximal aerobic exercise in sarcopenic (S) and non-sarcopenic (NS) older adults. Twenty-two older adults (mean age ± SE = 77 ± 2) were categorized as NS (n = 11) and S (n = 11) based on grip strength and muscle mass. Participants completed an aerobic, steady-state 10-min walk on a treadmill at 50 – 60% of their estimated V̇O2 max. Indirect calorimetry was assessed at baseline (fasted) and during the treadmill test to analyze respiratory quotient (RQ), carbohydrate (CHO) oxidation and fat oxidation, and % contributions of CHO and fat oxidation to energy expenditure (%CHO and %FAT, respectively). Two-way mixed factorial ANOVAS (time x group) and follow up t-tests were used to examine between group differences. At baseline, RQ was higher (0.76 ± 0.01 vs. 0.72 ± 0.01, p = 0.025) and fat oxidation was lower (0.08 ± 0.01 vs. 0.11 ± 0.01 g · min−1, p = 0.003) in S than NS individuals. The S group had significantly greater %CHO versus %FAT from 6 – 10 min of exercise (p = 0.005–0.014), whereas NS individuals maintained an approximately equal distribution of %CHO and %FAT until 8 – 10 min (p = 0.034–0.047). RQ (0.90 ± 0.06 vs. 0.86 ± 0.01, p = 0.039) and %CHO (70% vs. 57%, p = 0.046) were greater in S compared to NS at 8 min of exercise. Fat oxidation was consistently higher in NS than S individuals from 4 - 10 of min exercise (p = 0.016–0.045). Since skeletal muscle utilizes a large amount of energy during exercise, metabolic flexibility is key to efficiently utilize both CHO and fat sources to generate energy to match metabolic demands. Our data reveals that NS individuals were able to rely on both fuel sources during submaximal exercise indicating metabolic flexibility. Typically, exercising at 50 – 60% V̇O2 max utilizes 50% CHO and 50% fat contributions to energy expenditure, as observed in NS individuals. On the other hand, in S individuals, CHO composed a much larger proportion of total energy usage during exercise. These findings suggest that S individuals have low metabolic flexibility with higher dependence on CHO for energy during low-moderate aerobic activity. This study was funded by Abbott Nutrition.

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)0.000
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 score0.149
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 head0.031
GPT teacher head0.312
Teacher spread0.281 · 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.

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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