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Enregistrement W210320916 · doi:10.1093/sleep/33.2.143

If You Weigh Too Much, Maybe You Should Try Sleeping More

2010· letter· en· W210320916 sur OpenAlexaff
Najib Ayas

Notice bibliographique

RevueSLEEP · 2010
Typeletter
Langueen
DomainePsychology
ThématiqueSleep and related disorders
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésObesitySleep (system call)Environmental healthMedicineAssortative matingDuration (music)Public healthEndocrine systemPediatricsEndocrinologyPopulation

Résumé

récupéré en direct d'OpenAlex

Dr. Ayas has received research support from Respironics. ANY VISIT TO A LOCAL SHOPPING CENTRE (OR SCHOOL) WILL SHOW YOU THAT OBESITY IS A MAJOR PUBLIC HEALTH PROBLEM IN NORTH AMERICA. Two major contributors to the high prevalence of obesity are inadequate exercise and excessive nutritional intake. However, many other factors have also been implicated including: increased maternal age, prenatal environment, viral infections, side effects of pharmaceuticals, assortative mating, endocrine disruptive chemicals, and the ambient thermal environment.1 One potentially important factor of substantial interest to sleep physicians and researchers concerns the potential impact of sleep duration. Specifically, accumulating mechanistic and epidemiologic data suggest that reduced sleep duration may contribute to the development of obesity. Mechanistic Studies: In humans, short-term reduction in sleep length results in changes in the hormonal milieu that can predispose to increased appetite and weight gain. Ghrelin is a hormone secreted by the gastrointestinal tract that stimulates hunger; leptin is a hormone secreted by adipose cells and attenuates hunger. In a study by Spiegel and colleagues, when sleep in young males was restricted to 4 hours for two nights, plasma levels of ghrelin were increased and leptin was decreased.2 Furthermore, these men experienced significantly increased ratings of hunger for various categories of food, and especially for high carbohydrate foods. This research group has also demonstrated blunting of thyroid hormone secretion3 and impaired glucose tolerance4 with sleep restriction, which may also predispose to weight gain. Epidemiologic studies have also demonstrated greater serum levels of ghrelin and lower levels of leptin in short sleepers compared to individuals reporting 8 hours of sleep per night.5 More studies are required to confirm and extend these important findings. Epidemiologic Studies: Numerous studies in many countries have reported a cross-sectional association between curtailed sleep and obesity.6 Furthermore, prospective studies have suggested short sleep duration predicts future obesity.7 Patel and colleagues followed 68,183 women for up to 16 years in the Nurses' Health Study, and found women sleeping 5 or fewer hours gained 1.14 kg more and those sleeping 6 hours gained 0.71 kg more than women sleeping 7 hours after adjusting for important covariates.8 The potential impact of reduced sleep may be even greater in children and adolescents.9 For instance, in a British birth cohort of 8234 children, sleeping less than 10.5 hours at age 3 increased the risk of obesity at age 7 by 45%.10 The prospective study by Watanabe and colleagues in this issue of SLEEP provides even further support of the relationship between sleep duration and weight gain.11 In this large epidemiologic study of over 35,000 workers, self-reported short sleep duration in men was significantly associated with the development of obesity over a one year time period. Specifically, the adjusted odds ratios for the development of obesity were 1.91 (95%CI 1.36, 2.67) and 1.50 (95%CI 1.24, 1.80) in men who slept less than 5 and 5-6 hours, respectively. Interestingly, no significant association between sleep duration and weight gain or obesity was found for women, perhaps due to the relatively small numbers in the sample (approximately 10% of workers were women). Strengths of this study included the prospective design, direct measurements of weight (as opposed to self-reported weight), and the large sample size. As with all observational studies, only an association can be demonstrated, and causation can only be inferred. There are many potential explanations for why short sleep duration may be associated with weight gain. As described earlier, changes in the hormonal milieu due to sleep restriction may directly contribute to weight gain. Also, tiredness may result in reduced daytime activity. Alternatively, the association may be partially secondary to unrecognized or inadequately controlled confounders. For instance, perhaps individuals who do not sleep adequately also have other unhealthy habits (such as inadequate exercise or poor diet) that can contribute to weight gain. Similarly, patients with obstructive sleep apnea may suffer from short sleep, abnormalities in glucose control, and reduced activity levels.12 Future studies to investigate the potential mechanisms accounting for this association would be valuable to design effective interventions. Randomized controlled trials of interventions designed to increase sleep duration will ultimately be required to determine whether increasing sleep will reduce the propensity to gain weight; at least one such clinical trial is in progress.13 Nevertheless, I believe the data are currently compelling enough to recommend good diet, adequate exercise, AND adequate sleep in people trying to lose 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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,042

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,001
Communication savante0,0010,003
Science ouverte0,0010,000
Intégrité de la recherche0,0210,021
Charge utile insuffisante (le modèle a refusé de juger)0,0130,010

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 Opus0,021
Tête enseignante GPT0,290
Écart entre enseignants0,269 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations13
Publié2010
Routes d'admission1
Résumé présentoui

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