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Enregistrement W2061725332 · doi:10.1176/pn.46.1.psychnews_46_1_025

Depression, Anxiety Meds Linked to Development of Obesity

2011· article· en· W2061725332 sur OpenAlexaboutno aff
Joan Arehart-Treichel

Notice bibliographique

RevuePsychiatric News · 2011
Typearticle
Langueen
DomaineHealth Professions
ThématiqueObesity and Health Practices
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAnxietyDepression (economics)MoodPsychiatryObesityPsychologyMedicineClinical psychologyGerontologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Clinical & Research NewsFull AccessDepression, Anxiety Meds Linked to Development of ObesityJoan Arehart-TreichelJoan Arehart-TreichelPublished Online:7 Jan 2011https://doi.org/10.1176/pn.46.1.psychnews_46_1_025AbstractA growing body of evidence points to a cross-sectional link between obesity and affective disorders.Furthermore, a prospective study of some 5,000 people conducted by Finnish researchers over a 19-year period and published in the August 2009 British Journal of Psychiatry suggested that anxiety and depression tend to precede and contribute to the development of obesity, not vice versa.But if anxiety and depression can lead to obesity, how does it happen? By prompting people to overeat to relieve their anxious or depressed states? A new study suggests that such a hypothesis may not be correct. It appears instead that it is the psychotropic medications that anxious and depressed people take—not the anxiety and depression per se—that increase their risk of obesity.The lead author of the new study, the findings of which are published in the November 2010 Journal of Psychiatric Research, was Jasper Smits, Ph.D., director of the Anxiety and Treatment Program at Southern Methodist University in Dallas.Smits and his colleagues set out to determine if mood and anxiety disorders might contribute to the development of obesity through the use of psychotropic medications. They used data from a nationally representative survey of Canadians from all 10 provinces aged 15 or older called the Canadian Community Health Survey Cycle 1.2, which included some 37,000 subjects.The surveyed subjects had been evaluated mostly face to face, the rest by phone, for a number of DSM-IV mood or anxiety disorders, use of psychotropic medications, level of physical activity, history of medical illness, and body mass index (BMI). A person with a BMI of 30 or more was considered obese.In analyzing the data, and taking some possibly confounding variables such as socioeconomic factors, physical illness, and physical activity into consideration, the researchers identified three key findings.The relationship between mood disorders and obesity and between anxiety disorders and obesity was significant.Mood and anxiety disorders were significantly related to the use of antidepressant and antipsychotic medications, but not to anxiolytics, hypnotics, or mood stabilizers.Antidepressants and antipsychotics emerged as significant predictors of obesity. The use of these two classes of medications accounted for 86 percent of the relationship between mood disorders and obesity and 32 percent of the relationship between anxiety disorders and obesity.So putting these findings together, the researchers said that they "demonstrated that the increased odds of obesity in mood disorders were fully mediated by medication use, whereas the relationship between anxiety disorder diagnosis and obesity was partially mediated by medication use.""It is probably true that some of the association between mood or anxiety disorders and obesity is mediated by medication," Gregory Simon, M.D., told Psychiatric News, "but we need to be cautious in interpreting these data." Simon, a researcher at the University of Washington Center for Health Studies–Group Health, is also an expert on the depression-obesity link."Receipt of an antidepressant or antipsychotic medication is probably a marker for a more severe mood or anxiety disorder," he explained, "so the analyses indicating that medication use explained away most of the relationship between mood/anxiety disorder and obesity may not indicate a causal relationship. It may instead indicate that obesity is more strongly associated with more severe depression or anxiety. Furthermore, people with mood or anxiety disorders who are also obese are probably more likely to see doctors and therefore more likely to be treated with antidepressant or antipsychotic medications. Again, this would create a relationship that was not causal."In any event, assuming that the use of antidepressants or antipsychotics for anxiety or depression sometimes leads to obesity, what are the clinical implications? "The use of psychotropic medication is often indicated for these psychiatric disorders, and therefore termination and switching to nonpharmacological treatments is not always an option," Smits and his colleagues said in their research report. "One alternative is to augment pharmacological interventions for mood and anxiety disorders with strategies aimed at reducing weight gain. A growing body of work points to behavioral weight-management programs as efficacious adjuncts to antipsychotic treatments."The study was funded by the National Institutes of Health, the Canadian Institutes of Health Research, a Manitoba Health Research Council Chair Award, and Schering-Plough/Merck.An abstract of "Psychotropic Medication Use Mediates the Relationship Between Mood and Anxiety Disorders and Obesity: Findings From a Nationally Representative Sample" can be accessed at <www.sciencedirect.com/science/journal/00223956> under the November issue. ISSUES NewArchived

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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,232
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,003

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 Opus0,095
Tête enseignante GPT0,416
Écart entre enseignants0,321 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2011
Routes d'admission1
Résumé présentoui

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