Feasibility and Preliminary Efficacy of a “Sit Less” Program Leveraging Fitbit Tracking and Tailored Text Messages in Cardiometabolic Disease: Findings from Two Parallel Randomized Controlled Trials in Coronary Artery Disease and Type 2 Diabetes (Preprint)
Notice bibliographique
Résumé
BACKGROUND: Individuals with cardiometabolic disease typically average 10-14 hours of daily sedentary time, which increases the risk for cardiovascular disease (CVD). OBJECTIVE: To evaluate the feasibility, acceptability, and preliminary efficacy of a "Sit Less" program in reducing sedentary behavior in people with cardiometabolic disease. METHODS: Participants with CVD or type 2 diabetes (T2D) underwent separate randomization into the Sit Less intervention or control group. Sit Less included one in-person counseling session, a Fitbit, a smart water bottle, and tailored weekly text messages for 12 weeks. Control group participants received the American Heart Association's "Answers by Heart" booklet. Sedentary behavior was measured using activPAL for 7 days at baseline and post-intervention. Secondary outcomes included physical activity, cardiometabolic biomarkers, continuous glucose monitoring (CGM) metrics, and psychological factors. Generalized linear models estimated adjusted between-group differences controlling for baseline values, cohort, cohort × group interaction, and leisure-time exercise. RESULTS: Of 37 randomized participants, 35 (95%) completed the study (Sit Less: 17; Control: 18). Of the 35 that completed the study, 62% were male, median age was 67 years, and their baseline sedentary time was approximately 10.4 hours/day. Sit Less participants demonstrated high adherence, including a text response rate of 81% and median Fitbit wear of 15 hours/day on 6.8 days/week, and 15 out of 17 participants (88%) reported satisfaction with the program. Compared with the control group, Sit Less participants showed greater reductions in total sedentary time (adjusted mean difference -17.3 min/day, 95% CI -63 to 28; P=.45), prolonged sedentary time >30 minutes (-39.5 min/day, 95% CI -100 to 21; P=.20) and >60 minutes (-49.9 min/day, 95% CI -102 to 2; P=.06), and increases in sit-to-stand transitions (4.2/day, 95% CI -2 to 10; P=.13), although none were statistically significant. HbA1c was lower in the Sit Less group compared with the control group (adjusted mean difference -0.4%, 95% CI -0.8 to -0.1; P=.04). CGM outcomes, including mean glucose (-6.0 mg/dL, 95% CI -14.9 to 2.8; P=.18) and time in range (2.1%, 95% CI -4.8 to 9.1; P=.54), were not statistically significant but demonstrated similar directional changes. Other cardiometabolic biomarkers, physical activity, and psychological outcomes were not significantly different, except for lower self-efficacy for moderate physical activity in the Sit Less group (-0.6, 95% CI -1.1 to -0.2; P=.003). CONCLUSIONS: The Sit Less intervention was feasible and acceptable and showed possible improvements in sedentary behavior and glycemic outcomes. Although this pilot study had a small sample size and limited statistical power, with multiple outcomes examined and wide confidence intervals observed, these findings support evaluation in larger, adequately powered trials. CLINICALTRIAL: ClinicalTrials.gov NCT05534256, NCT05691452. INTERNATIONAL REGISTERED REPORT: RR2-10.1371/journal.pone.0302582.
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 | 0,008 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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 ».