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Enregistrement W2954747898

Pain as a barrier to physical activity in severe obesity and the alter-g anti-gravity treadmill as a potential therapeutic tool

2018· dissertation· en· W2954747898 sur OpenAlexaboutno aff
Hunter W Turnipseed

Notice bibliographique

RevueThinkTech (Texas Tech University) · 2018
Typedissertation
Langueen
DomaineMedicine
ThématiqueDiet and metabolism studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhysical activityMedicineObesityTreadmillPhysical therapyPsychologyPhysical medicine and rehabilitationInternal medicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Obesity is highly prevalent, and more than 36.5% of American adults have obesity. Common barriers to physical activity in people with obesity are pain and low enjoyment, and both may contribute to low levels of activity. The use of the Alter-G Anti-Gravity Treadmill as a therapeutic tool to overcome these barriers is a new area explored in this study. Specific aims explored in this study were to determine if: Aim 1 - pain was associated with physical functioning in obesity, Aim 2 - exercise barriers were reduced by using the unweighting function of the Alter-G Anti-Gravity Treadmill, and Aim 3 - energy expenditure of moderate intensity exercise sessions with self-selected duration was similar in weighted and unweighted groups. 
\nHealthy adults (20- 55 years) with obesity (≥30 BMI) were recruited for this study. Participants were randomized into two groups with the control group exercising at 100% body weight and the experimental group using the unweighting function with self-selection of body weight. This project was an analysis of baseline data from a longer randomized trial of a 12 week walking program. Measurements taken during the baseline visit include physical functioning test (6-minute walk test and Timed Up and Go) and questionnaires (Short-Form McGill Pain Assessment, Physical Activity Enjoyment Scale (PACES), and History of Joint Pain). After baseline measurements, energy expenditure during exercise sessions (calculated by the Alter-G`s Stride Smart system), Physical Activity Enjoyment Scale (after experiencing the Alter-G Anti-Gravity Treadmill for three workouts), and Subjective Pain during exercise sessions (provided by the Alter-G`s Stride Smart system) were measured. 
\nThere were sixteen (9 female, 7 male) participants (age M = 33.06, SD =10.99, weight (kg) M = 107.51, SD = 13.30, BMI (kg/m²) M = 37.94, SD = 5.20) that participated in the study. They were randomized into two groups (control n = 10, experimental n = 6). There was no detectable association between pain and physical functioning. Subjective pain was not statistically different between the two groups (p = .156), and change in PACES scores were not statistically different between groups (p = .947). However the experimental group did have a statistically significant increase in PACES scores from the baseline measurement (M = 82.40, SD = 14.63) to the measurement taking after the 3rd visit (M =92.40, SD = 10.71) (p = .043). There was no difference in energy expenditure between groups. The exercise sessions were broken down into average speed, incline, and duration. The average speed (p = .280) and incline (p = .758) was not statistically different between groups, but the duration was significantly higher in the experimental (M = 45.64, SD = 2.43) group compared to the control (M = 37.52, SD = 1.81) group, (p = .020). This study demonstrated that a walking protocol using the unweighting feature of Alter-G Anti-Gravity Treadmill was associated with a significant increase in PACES score, and that using the unweighting feature of the Alter-G Anti-Gravity Treadmill can cause the duration during exercise be higher, leading to similar energy expenditure compared to exercising at 100% body weight.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,723
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,249
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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