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Light Physical Activity Relates To Insulin Sensitivity And Earlier Time Of Day In Metabolic Syndrome

2022· article· en· W4294841947 on OpenAlexaff
Jaclyn K. Dosik, Tristan J. Ragland, Emily M. Heiston, Udeyvir Cheema, Andrea M. Spaeth, Steven K. Malin

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2022
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInternal medicineEndocrinologyInsulin resistanceMedicineMorningMetabolic syndromeWaistInsulinInsulin sensitivityAdipose tissueBody mass indexObesity

Abstract

fetched live from OpenAlex

PURPOSE: Low insulin sensitivity is linked to metabolic syndrome (MetS). However, whether the time of day when light physical activity (LPA) occurs affects insulin sensitivity is unclear. We tested the relationship between LPA time of day and insulin sensitivity in MetS. METHODS: Thirty adults with MetS were classified as morning (MOR, n = 11, 9F), midday (MID, n = 9, 6F), or afternoon (AFT, n = 10, 6F) by active LPA time using 7-d tri-axial hip-worn accelerometry (Actigraph). Time of day was defined by which part of the day had the highest percentage (>50%) of LPA. Peripheral insulin sensitivity (M-value between 90-120 min) was measured using a 2-hr hyperinsulinemic-euglycemic clamp (40 mU/m2/min, 90 mg/dl), while hepatic (HOMA-IR), and adipose (Adipose-IR) insulin resistance were estimated from fasting glucose, FFA, and insulin, respectively. Aerobic fitness (VO2max), anthropometrics (BMI, waist circumference), and inflammation (TNF-α, CRP and IL-8 at 0 and 120 min) were also examined. RESULTS: There were no differences amongst groups in age (P = 0.60), ATP III criteria (P = 0.91), or VO2max (P = 0.76). While time in sedentary (P = 0.44) and moderate-to-vigorous activity (P = 0.66) were similar amongst groups, MOR (21.3 ± 1.7%, P = 0.03) and MID (21.1 ± 1.3%, P = 0.01) had increased time in LPA compared to AFT (16.5 ± 1.2%). Further, MOR had a lower BMI (33.1 ± 1 vs. 38.6 ± 1.8 vs. 41 ± 2 kg/m2, P = 0.004) and waist circumference (107.9 ± 1.8 vs. 115.3 ± 3.8 vs. 123.1 ± 5.4 cm, P = 0.02). Although clamp-derived insulin sensitivity (P = 0.43), HOMA-IR (P = 0.30), and adipose-IR (P = 0.81) were similar across groups, higher LPA (%) related to increased peripheral insulin sensitivity (r = 0.33, P = 0.04) and lower adipose-IR (r = -0.36, P = 0.02). There were no group differences in fasting or change (i.e. 120-0 min) in TNF-α (P = 0.55), CRP (P = 0.41) or IL-8 (P = 0.07). However, higher LPA (%) related to insulin stimulated reductions in IL-8 (r = -0.42, P = 0.01). These changes in IL-8 also correlated with a higher adipose-IR (r = 0.37, P = 0.03). CONCLUSION: Time spent in LPA relates to insulin sensitivity and earlier times of day. Future work should look at whether time of day influences body weight regulation and cardiovascular health to optimize disease prevention/treatment. Funding: NIH RO1-HL130296

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.010
GPT teacher head0.264
Teacher spread0.254 · 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 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
Published2022
Admission routes1
Has abstractyes

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