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Interrupting Sitting With Short Walks Or Repeated Chair Stands Improves Glycemic Control In Healthy Adults

2020· article· en· W3041888296 on OpenAlexaff
Stephanie Estafanos, Eric Williamson, Julia M. Malowany, Daniel R. Moore, Dinesh Kumbhare, Jenna B. Gillen

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsPostprandialGlycemicSittingMedicineInsulinMealArea under the curveInternal medicinePlasma glucoseGlycemic loadCarbohydrate metabolismEndocrinologyGlycemic index

Abstract

fetched live from OpenAlex

Uninterrupted sedentary time is an independent risk factor for the development of metabolic diseases. Interrupting prolonged sitting with brief, intermittent walks can improve postprandial glucose metabolism; however, the efficacy of other types of exercise that do not require equipment nor space beyond one’s immediate sedentary area remain to be investigated. PURPOSE: To determine the impact of interrupting prolonged sitting with practical ‘activity snacks’ on postprandial glycemia and insulinemia in healthy adults. METHODS: Fourteen participants (7 males,7 females; 23±5yr; 24±5kg/m2; 40±8ml/kg/min; 4587±1231steps/d) completed three 7.5hr trials in a randomized order consisting of uninterrupted sitting (SIT), sitting with intermittent (every 30 min) walking (WLK; 2min at 3.1mph) or sitting with intermittent squats (SQT; 15 ‘chair stands with calf raise’). Mixed-macronutrient liquid meals (~55:30:15% carbohydrate:fat:protein) provided 20% (‘breakfast’; 406±87kcal) and 30% (‘lunch’; 609±130kcal) of daily energy needs to mimic traditional Western meal patterns. Blood was obtained every 30min and analyzed for plasma glucose and insulin concentration. Positive incremental area under the curve (iAUC) for glucose, insulin and insulin:glucose ratio were calculated 1 and 3h postprandially using the trapezoidal rule. RESULTS: Postprandial glucose and insulin did not differ across conditions following breakfast. After lunch, peak insulin concentration was lower in SQT (51.6±26.7, p<0.001) and WLK (62.2±34.9, p<0.05) compared to SIT (78.9±43.0μIU/ml). The insulin:glucose iAUC 3h following lunch was also reduced by the activity snacks (SQT: 489±300; WLK: 541±401) compared to SIT (700±398, p<0.05). Insulin iAUC 1h following lunch was lower in SQT (1412±902, p<0.01) and WLK (1575±1145, p<0.05) relative to SIT (2231±1540μIU/ml x 1h, p<0.01), however 3h insulin iAUC was only reduced in SQT (SQT: 2992±1735 vs. SIT: 3954±2261μIU/ml x 3h; p<0.05). CONCLUSION: Interrupting prolonged sitting with short walks or repeated chair stands reduces postprandial insulinemia following lunch in healthy adults. Our results add to the evidence suggesting that short ‘activity snacks’ can help mitigate cardiometabolic risk factors associated with prolonged sitting. Supported by ACSM Research Endowment Grant.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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 head0.029
GPT teacher head0.318
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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
Published2020
Admission routes1
Has abstractyes

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