The effect of a combination of motivational counselling witharmodafinil therapy in obese patients with shift work disorderin primary care
Bibliographic record
Abstract
Background.Obesity is a complex medical problem which still needs options of pathogenetic treatment.Objectives.To determine the effect of the complex therapy of patients with obesity and circadian rhythm sleep-wake disorders (shift work disorder) by armodafinil in addition to motivational counselling in primary care.Material and methods.38 obese patients with shift work disorder were treated with armodafinil 150 mg daily and an motivational interview regarding healthy lifestyle.The examinations were at baseline after the 1 st , 3 th and 6 th months and included: BMi, waist and hip circumference, body surface area, Waist-to-Hip Ratio, Conicity Index, A body shape index, Abdominal Volume Index, blood pressure, levels of serotonin, leptin, glucose, lipidogram, International Questionnaire on Physical Activity, FINDRISC, HADS, Beck&Hamilton Scale, Dutch Eating Behaviour Questionnaire, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Questionnaire, and SF-36.Statistical analysis was carried out with SPSS Statistics, Statistica 12, Excel 2010.Results.BMI at baseline of the study was 33.85 ± 0.5 kg/m 2 .The percentage of body weight showed a significant loss starting from the 3 rd month (р < 0.0001).Impaired carbohydrate tolerance, dyslipidaemia, moderate risk of developing diabetes, low serotonin levels and physical activity improved their values over time.Patients had clinically pronounced depression and anxiety, disturbed eating behaviour, excessive daytime sleepiness, poor sleep quality and quality of life at baseline, which normalised by the 6 th month.Conclusions.The complex treatment of obese patients with shift work disorder by motivational counselling with a patient-oriented approach enhanced by armodafinil 150 mg daily allowed them to reduce body weight by 15% in 6 months, as well as reduce metabolic, eating, mental and sleep disorders and improve quality of life.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".