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Record W2990644254 · doi:10.1111/bcp.14176

Does green tea extract enhance the anti‐inflammatory effects of exercise on fat loss?

2019· article· en· W2990644254 on OpenAlex
Reza Bagheri, Amir Rashidlamir, Damoon Ashtary‐Larky, Alexei Wong, Meysam Alipour, Mohamad Motevalli, A. Chebbi, Ismail Laher, Hassane Zouhal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Clinical Pharmacology · 2019
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsMedicineAdiponectinGreen tea extractPlaceboOverweightEndurance trainingInternal medicineAerobic exerciseAnthropometryPhysical therapyInterval trainingWaistBody mass indexEndocrinologyObesityGreen teaInsulin resistanceChemistry

Abstract

fetched live from OpenAlex

AIMS: Green tea extract (GTE) can exert antiobesity and anti-inflammatory effects. Our study determined whether the benefits of GTE are summative with exercise-induced changes in anthropometric indices, and the levels of inflammatory cytokines, adiponectin and irisin in inactive overweight women. METHODS: Thirty overweight female participants were randomized to 3 groups: endurance training + placebo (ET + P); endurance training + GTE (ET + GTE); and Control (no exercise) + placebo (Control, n = 10). The exercise intervention consisted of an 8-week endurance-training programme of 3 sessions per week (aerobics, aerobic circuit training, and fast walking or jogging at a moderate intensity of 40-59% of the heart rate reserve). The dose of GTE used was 500 mg/day in the form of a green tea capsule. RESULTS: Body weight, body mass index, waist to hip ratio and body fat percentage were decreased in both ET + P and ET + GTE interventions (P < .001 for both interventions). The reduction of anthropometric values in the ET + GTE group was significantly higher than ET + P interventions (P < .001). Both exercise interventions also significantly (P < .001) increased adiponectin (ET + GTE = 5.28 mg/mL [95% confidence interval {CI}, 4.48 to 6.08] and ET + P = 3.34 mg/mL [95% CI, 2.76 to 3.92]) and decreased high-sensitivity C-reactive protein (hs-CRP; ET + GTE = -0.95 mg/L [95% CI, -1.15 to -0.75] and ET + P = -0.35 mg/L [95% CI, -0.46 to -0.24]). Changes in adiponectin and hs-CRP were greater (P < .05) in ET + GTE compared to ET + P. There were no significant differences in irisin, interleukin-6 or tumour necrosis factor-α between the 3 groups (P > .05). CONCLUSIONS: GTE improves exercise-induced body composition by further decreasing exercise-induced changes in weight, body mass index, waist to hip ratio and body fat percentage. The combination of GTE and exercise also produced greater changes in anti-inflammatory (increases in adiponectin) and metabolic (decreases in hs-CRP) markers than exercise alone.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.366
Teacher spread0.352 · 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