MétaCan
Menu
Retour à la cohorte
Enregistrement W2283851203 · doi:10.14288/1.0094499

The use of sensory deprivation in a programme of weight control

2010· article· en· W2283851203 sur OpenAlexaff
Roderick A. Borrie

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2010
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth and Lifestyle Studies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésSensory deprivationWeight controlControl (management)Sensory systemPsychologyMedicineComputer scienceCognitive psychologyArtificial intelligenceObesity

Résumé

récupéré en direct d'OpenAlex

Sensory deprivation has been used in a number of clinical contexts either as a form of therapy by itself or in conjunction with other therapeutic techniques. The characteristics of increasing persuasibility and receptivity to therapeutic input make sensory deprivation an attractive tool for many varieties of behaviour change. In past research sensory deprivation has been used in the treatment of poor self image, autism, phobias, and smoking. This study was designed to extend previous research in which sensory deprivation was used to successfully moderate or eliminate health endangering behavior. In the research on smoking the technique was used in conjunction with appropriate messages to help psychologically addicted smokers to stop smoking (Suedfeld, 1973). The present project applied the sensory deprivation technique to the problem of obesity caused by overeating. The design was a 2 x 2 factorial with the major variables being (1) sensory deprivation (SD) versus non-confinement (NC), and (2) therapeutic messages (M) versus no messages (NM). Subjects were 39 female volunteers between the ages of 20 and 56 who responded to announcements of an experimental weight loss programme. The subjects were assigned to one of the four experimental groups which were equated for weight, age, and marital status. Sensory deprivation consisted of lying in a dark, quiet chamber for 24 hours; the messages consisted of two sets of communications concerning weight loss. The first set of messages was concerned with body orientation, relaxation, and controlling urges; the second set dealt with specific behavioural self-control techniques. The group which received both sensory deprivation and messages heard the messages during their stay in sensory deprivation. Following the experimental treatment, all subjects were given a standard diet manual and standardized instructions in its use. Subjects were seen periodically over the following six months. The weight loss data at six months show a significant interaction between sensory deprivation and message. The combined treatment (SDM mean = 5.87 Kg) was superior to the other three groups (SDNM mean = 1.08 Kg, NCM mean = .67 Kg, NCNM mean = 2.36 Kg). There were no significant changes in skinfold measurements. The weight loss data at two months showed a significant message effect with those who heard the messages losing 3.14 Kg versus 1.23 Kg for those who did not. Weight loss over the final four months showed a condition effect with those who had sensory deprivation losing 1.58 Kg, while the nonconfined subjects gained .98 Kg. These results are discussed in terms of the motivating characteristics of sensory deprivation. When various demographic and behavioural data were regressed on weight change, three significant predictors emerged. The facts were that the more difficulty the subject anticipated, the more weight she lost; the stronger her motive to please her spouse, the less weight she lost; and the more she was concerned with eating slowly, the more weight she lost. The results are discussed in terms of their implications for future treatments of obesity. The present study is also discussed in comparison with other sensory deprivation studies and other obesity treatment studies.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,586
Score d'incertitude au seuil0,819

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,042
Tête enseignante GPT0,274
Écart entre enseignants0,232 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations1
Publié2010
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuecIRcle (University of British Columbia)Même sujetHealth and Lifestyle StudiesTravaux en français237 207