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Impact of a 12-week supervised exercise program on weight loss trajectory, daily physical activity levels and sedentary behaviors after bariatric surgery

2021· article· en· W3206160795 on OpenAlexaffabout
C Lemieux-Simard, M. Pettigrew, Audrey Auclair, Marie‐Ève Piché, Laurent Biertho, Simon Marceau, Jany Harvey, Paul Poirier

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineBioelectrical impedance analysisWeight lossPhysical therapyBody mass indexObesityAnthropometryMetabolic equivalentSurgeryPhysical activityInternal medicine

Abstract

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Abstract Background The evidence suggests that physical activity (PA) following bariatric surgery can enhance weight loss and other metabolic outcomes. However, most individuals with severe obesity are insufficiently active, and without support, fail to make substantial increases in their daily PA levels postoperatively. Purpose The aim of this study was to investigate the effectiveness of a 12-week supervised exercise program on daily PA levels, sedentary time, and on maintenance of the weight loss trajectory following bariatric surgery. Methods Fifty-nine individuals with severe obesity (body mass index [BMI] ≥40 or ≥35 kg/m2 with comorbidities) eligible for bariatric surgery were randomly assigned (1:2) to either standard of care (CG, n=19) or a 12-week supervised exercise program (ExG, n=40). Daily PA levels and sedentary time were assessed using an armband accelerometer worn over a 3-day period (2 week-day and 1 weekend day). Body weight, body fat and fat-free mass were assessed using bioelectrical impedance balance. The exercise training program (60 min, 3 times per week for 12 weeks) started 3 months after the bariatric surgery and was supervised by a certified clinical exercise physiologist. Daily PA levels, sedentary time and anthropometric measurements were obtained preoperatively, and at 3, 6 and 12 months after bariatric surgery. Results Age of participants was 42±12 years, BMI was 46±6 kg/m2, and 76% were women. Before the exercise training program, PA parameters (daily PA levels, sedentary time and moderate to vigorous intensity PA [MVPA] were comparable between groups. Following the exercise training program, the ExG showed a significant reduction in sedentary time (753±113 to 721±88 min/day), an increase in daily PA levels (4544±1863 to 5853±3101 steps/day) and in MVPA levels (18.8±25.1 to 30.5±38.1 min/day). Further increase in daily MVPA levels were observed at the 12 months follow-up visit (p=0.05). In the standard of care group, changes in PA parameters were also comparable to those in the ExG. All anthropometric measurements indicate statistically significant changes postoperatively, after the intervention and up to 12 months follow-up (p<0.001) without showing any difference between groups. Anthropometric changes up to 12 months follow-up show, respectively for CG and ExG, a total weight loss of 37.8±9.3% and 38.4±10.3%, a body fat reduction of 60.4±13.7% and 61.9±15.2% and fat-free mass loss of 16.6±5.4% and 15.1±7.9%. Conclusion This study shows that bariatric surgery candidates have low PA levels and rarely engage in MVPA. We found no additional effect to the standard of care treatment of a postoperative 12-week supervised exercise training program on weight loss trajectory, daily PA levels and sedentary behaviors. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Canadian Institutes of Health Research (CIHR)Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval (IUCPQ - UL)

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.052
GPT teacher head0.317
Teacher spread0.266 · 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 designNon-randomized 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".

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Citations1
Published2021
Admission routes2
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