Lifestyle Interventions for Four Conditions: Type 2 Diabetes, Metabolic Syndrome, Breast Cancer, and Prostate Cancer
Notice bibliographique
Résumé
Objectives To synthesize evidence from randomized controlled trials (RCTs) on the effectiveness of lifestyle interventions to control progression of type 2 diabetes, progression to diabetes from metabolic syndrome, or recurrence of breast cancer and prostate cancer. Lifestyle interventions were defined as any intervention that included exercise, diet, and at least one other component (e.g., counseling, stress management, smoking cessation). Data Sources A systematic and comprehensive literature search was conducted to identify RCTs from 1980 to the present. Review Methods Study selection, quality assessment, and data extraction were completed by several investigators in duplicate and independently. Random effects models were used for meta-analyses. Results From 1,288 citations, we included 20 unique RCTs (plus 80 associated publications): diabetes = 10 studies, metabolic syndrome = 7, breast and prostate cancer = 3. All studies had a “high” or “unclear” risk of bias. Type 2 diabetes: One RCT reported that, at 13 years postintervention, the lifestyle intervention group had fewer nonfatal strokes, reduced incidence of retinopathy, reduced progression of autonomic neuropathy, and reduced incidence of nephropathy. In this trial the lifestyle intervention included pharmacotherapy. A number of studies reported positive effects for lifestyle interventions on changes in body composition, metabolic variables, physical activity, and dietary intake; however, the results were not always statistically significant and were not always sustained following the end of the active intervention. Metabolic syndrome: Four studies reported that lifestyle interventions decreased the risk of developing type 2 diabetes. Most studies also reported positive effects for changes in body composition, metabolic variables, physical activity, and dietary intake. The results were not always statistically significant and were not always sustained following the end of the active intervention. Breast and prostate cancer: One RCT on prostate cancer reported that the lifestyle intervention decreased PSA levels. Two studies reported positive effects for changes in body composition, metabolic variables, physical activity, and dietary intake; however, the results generally were not statistically significant. Conclusions Comprehensive lifestyle interventions that include exercise, dietary changes, and at least one other component are effective in decreasing the incidence of type 2 diabetes mellitus in high risk patients and the benefit extends beyond the active intervention phase. In patients who have already been diagnosed with type 2 diabetes, there is some evidence to suggest long-term benefit on microvascular and macrovascular outcomes, although the evidence is from one trial of high risk diabetic patients and included pharmacotherapy. The evidence for lifestyle interventions to prevent cancer recurrence is insufficient to draw conclusions. Comprehensive lifestyle interventions appear to have a positive impact on behavioral outcomes including exercise and dietary intake, as well as a number of metabolic variables, at least in the short-term in all populations addressed in this report.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,067 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,011 | 0,010 |
| Bibliométrie | 0,009 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».