Impact of Intensive Lifestyle Intervention on Remission of Metabolic Syndrome, Prediabetes, Diabetes, and Hypertension in Adults Living with Obesity
Bibliographic record
Abstract
Background: Lifestyle intervention programs have long been shown to be effective in preventing cardiometabolic risk factors (CMRFs) such as metabolic syndrome (MS), impaired fasting glycaemia (IFG), type II diabetes (T2DM), and hypertension (HTA). However, their potential for remission of these CMRFs in overweight/obese adults is less clear. The importance of attaining remission has significantly increased as these CMRFs are more and more prevalent. Objectives: The aim of this study is to determine the impact of an intensive lifestyle intervention program on the remission of MS, IFG, T2DM, and HTA in overweight/obese adults. Methods: Forty participants living with overweight/obesity were enrolled in an 18-month multidisciplinary primary prevention body mass loss intervention program. MS, IFG, T2DM, and HTA statuses were assessed at baseline, 9 months, and the end of the program. Results: At baseline, 25 participants (64.1%) had MS, 7 (17.9%) had IFG, 4 (10.2%) were living with diabetes, and 28 (70.0%) had HTA. At 18 months, six (24%) of the participants living with MS, two (28.6%) of the participants with IFG, two (50%) of the participants with diabetes, and two (7.1%) of the participants with HTA met all criteria for remission. Conclusion: An intensive lifestyle intervention program consisting of monitored exercise training and lifestyle modification counselling has great potential for achieving remission of CMRFs in adults living with overweight/obesity.
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 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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".