Impact Of A Remotely Instructed Bodyweight Interval Training Program For Adults With Obesity
Bibliographic record
Abstract
Bodyweight interval training (BW-IT) may be feasible for enhancing aerobic capacity and muscular strength. BW-IT delivered remotely may especially appeal to those who wish to refrain from public exercise or have limited access to fitness facilities/equipment. PURPOSE: To determine the impact of a 6-week BW-IT program hosted via YouTube on cardiorespiratory fitness (CRF), muscular strength, and physical activity enjoyment (PACES) in adults with obesity. METHODS: Fourteen inactive but otherwise healthy adults with obesity (30.7 ± 10.3 yrs.,35.5 ± 5.4 kg/m2) participated in a 6-week BW-IT program that progressed bi-weekly from a work-to-rest ratio of 1:3 to 1:1. Using pre-recorded videos, participants performed BW-IT (2 sets of high knees, squat jumps, scissor jacks, jumping lunges, and burpees for as many repetitions as possible interspersed with active recovery walking in place) 3x/week. The videos showcased modified (reduced range of motion/elimination of plyometric phase) and advanced versions of each exercise. Baseline and post-intervention testing were identical and included peak oxygen consumption (V̇O2peak) through individualized treadmill protocols, dominant leg isometric muscular strength (isokinetic dynamometer), and waist circumference (WC) taken at the superior border of the iliac crest. Enjoyment was assessed after the first and final week of the program. Pre- and post-BW-IT variables were assessed using student’s paired t-test (α < .05). RESULTS: Thirteen subjects completed all 18 sessions (100% compliance), but 1 completed 14 sessions (78% compliance). Increases in muscular strength (~10%, +0.2 ± 0.2 Nm/kg, p = 0.02) and V̇O2peak (~5%, +0.1 ± 0.2 L/min, p = 0.02) occurred. WC decreased (-2.2 ± 2.4 cm, p = 0.03). PACES scores were higher after week 1 (102.8 ± 16.5) compared to week 6 (92.9 ± 16.9) of BW-IT, p = 0.003. CONCLUSION: In previously inactive adults with obesity, remotely delivered bodyweight interval training elicited significant improvements in CRF, lower extremity muscular strength, and WC. Future studies may benefit from manipulating the selection of calisthenics and protocol progression to determine interventions that improve physiological health and maintain or enhance physical activity enjoyment. NMRG ($3000)/Grammarly, Inc. was used for grammatical checks
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".