RESULTS OF THE MOVES STUDY: A FEASIBILITY STUDY OF THE MOTIVATING INDIVIDUALS WITH LUPUS TO EXERCISE PROGRAM
Notice bibliographique
Résumé
PV070 / #88 Poster Topic: AS09 - Emerging Approaches in SLE Management Background/Purpose Physical activity is an evidence-based modifiable lifestyle behavior that can manage symptoms of systemic lupus erythematosus (SLE). However, rates of physical activity are low among persons with SLE. This study investigated the feasibility of an exercise intervention grounded in social cognitive theory and motivational interviewing for improving patient-reported outcomes and physical function in SLE. Methods Participants were randomized into the MOVES program or a waitlist control. All participants met criteria:≥ 18 years, self-reported diagnosis of SLE and <150 minutes of moderate-to-vigorous physical activity (MVPA) per week, severe fatigue via fatigue severity scale. The MOVES intervention was a 4-month home-based exercise program that included a manual, Fitbit Inspire 2, and resistance bands. Participants completed an orientation session via Zoom and received support from a motivational interviewing coach via 6 coaching calls (weeks 3, 5, 7, 10, 13, 16). PROMIS ® measures of fatigue, physical function, sleep disturbance, pain interference, anxiety, and depression were measured at baseline, post-intervention, and follow-up (2 months post-intervention). Accelerometers were worn for 7 days during waking hours to measure daily MVPA minutes (2020+counts) at baseline and post-intervention, with valid monitoring defined as a minimum of 3 days of 10+ hours of wear time. Weekly MVPA minutes were calculated as mean daily MVPA minutes times 7. Descriptive statistics were calculated, and data were analyzed using linear mixed models. Results Twenty-eight participants, mean(SD) age was 46(9.5); 100% identified as female, 50% self-identifying as Black/African American, 46.4% White, 3.6% Asian; 85.7% having some college education, completed baseline, post, and follow-up testing (16 intervention, 12 control; no significant differences at baseline). Linear mixed model analyses showed that the intervention group had significantly larger improvements in fatigue and physical function than the control group, both clinically and statistically, at both the post-intervention (p=0.01 for both) and follow-up (fatigue p=0.01, physical function p=0.02) While no statistically significant differences were observed for pain interference, anxiety, depression, sleep disturbance, or MVPA at post-intervention or follow-up, clinically meaningful changes were evident in the intervention group at post-intervention. Clinically meaningful changes, as indicated by Cohen’s d, were observed for fatigue (d=-1.7), physical function (d=0.56), pain interference (d=-0.99), anxiety (d=-0.98), and depression (d=-1.16) between baseline and post-intervention. These clinically meaningful changes were observed for fatigue (d=-1.7), physical function (d=0.52), anxiety (d=-0.62), and depression (d=-1.09) between baseline and follow-up (Table 1). Table 1. Outcomes by Timepoint and Group Conclusions The MOVES intervention led to significant and maintained improvements in fatigue and physical function, with clinically meaningful reductions observed in fatigue, pain interference, anxiety, and depression and improvements in physical function. Findings highlight the potential of the MOVES program to address key patient-reported outcomes among persons with SLE.
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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 | 0,012 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».