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Record W2143869462 · doi:10.1177/070674370605100502

Obesity in Bipolar Disorder and Major Depressive Disorder: Results from a National Community Health Survey on Mental Health and Well-Being

2006· article· en· W2143869462 on OpenAlexaffvenueabout
Roger S. McIntyre, Jakub Z. Konarski, Kathryn Wilkins, Joanna K. Soczynska, Sidney H. Kennedy

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsStatistics CanadaUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsObesityBipolar disorderBody mass indexPsychiatryMedicineMajor depressive disorderOdds ratioMental healthPopulationGerontologyMoodOddsDemographyPsychologyClinical psychologyEnvironmental healthInternal medicineLogistic regression

Abstract

fetched live from OpenAlex

Objective: We aimed to ascertain the prevalence of obesity in individuals with a mood disorder (MD) (that is, bipolar disorder or major depressive disorder), compared with the general population. We further aimed to examine the likelihood of an association between obesity and MD, while controlling for the influence of sociodemographic variables. Method: The analysis was based on data from Statistics Canada's Canadian Community Health Survey: Mental Health and Well-Being (CCHS 1.2), conducted in 2002. The sample ( n = 36 984; > aged 15 years) was drawn from the Canadian household-dwelling population. The CCHS used diagnostic criteria outlined in the DSM-IV to screen respondents. Results: Individuals with a lifetime history of MD were more likely to be obese (body mass index [BMI] > 30) than were individuals without lifetime MD (19%, compared with 15%, respectively; P < 0.001). In sex-specific multivariate analysis, lifetime MD was associated with elevated odds of obesity in female respondents (95%CI, 1.03 to 1.46, odds ratio 1.22), but not in male respondents. Antipsychotic pharmacotherapy was also associated with obesity. Conclusions: This is the first Canadian epidemiologic investigation to specifically evaluate anthropometric indices and associated factors in people with MDs. The results herein supplement substantial clinical evidence documenting the association between MDs and stress-sensitive somatic disorders (for example, obesity). These data also underscore the metabolic consequences of some psychotropic agents. Résumé: L'obésité dans le trouble bipolaire et le trouble dépressif majeur: résultats de l'Enquête nationale sur la santé dans les collectivités, santé mentale et bien-être Objectif: Nous visions estimer la prévalence de l'obésité chez les personnes souffrant d'un trouble de l'humeur (TH) (trouble bipolaire ou trouble dépressif majeur), comparativement à la population générale. Nous visions en outre à examiner la probabilité d'une association entre l'obésité et le TH, en contrôlant l'influence des variables sociodémographiques. Méthode: L'analyse se basait sur des données de l'Enquête sur la santé dans les collectivités canadiennes: santé mentale et bien-être (ESCC) de Statistique Canada, menée en 2002. L'échantillon ( n = 36 984; = 15 ans d'âge) a été tiré de la population canadienne des ménages et logements. L'ESCC a utilisé les critères diagnostiques du DSM-IV pour dépister les répondants. Résultats: Les personnes ayant des antécédents de durée de vie de TH étaient plus susceptibles que les personnes sans TH à vie d'être obèses (19 %, comparé avec 15 %, P < 0,001) et maladivement obèses (2%, comparé avec 1%, P < 0,01; indice de masse corporelle = 40). Dans l'analyse multivariée selon le sexe, le TH à vie était associé avec des probabilités élevées d'obésité chez les répondantes féminines (95 % IC, 1,03 à 1,46, risque relatif 1,22), mais pas chez les répondants masculins. La pharmacothérapie antipsychotique était aussi associée à l'obésité. Conclusions: Il s'agit de la première enquête épidémiologique canadienne qui évalue spécifiquement les indices anthropométriques et les facteurs associés dans la population du TH. Les résultats des présentes complètent les données probantes cliniques substantielles documentant l'association entre le TH et les troubles somatiques sensibles au stress (par exemple, l'obésité). Ces données soulignent également les conséquences métaboliques de certains agents psychotropes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.266
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations154
Published2006
Admission routes3
Has abstractyes

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