Evidence map›Paper›PMID 19689507›Full record

ArticleBipolar disorders2009

Can body mass index help predict outcome in patients with bipolar disorder?

Cynthia Calkin, Caroline van de Velde, Martina Růzicková, Claire Slaney, Julie Garnham, Tomas Hajek, Claire O'Donovan, Martin Alda

Abstract read
In one paragraph

Article in Bipolar disorders, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Evaluation of mood disorder questionnaire positivity and associated factors in a population-based screening study.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cynthia CalkinDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia B3H 2E2, Canada.
Caroline van de Velde
Martina Růzicková
Claire Slaney
Julie Garnham
Tomas Hajek
Claire O'Donovan
Martin Alda

Funding

CIHR 64410
6 · The paper itself

Abstract

objectiveSeveral studies have reported higher prevalence of obesity in patients suffering from bipolar disorder (BD). To study the relation of elevated body mass index (BMI) in patients with BD more closely, we investigated differences in sociodemographic, clinical, and medical characteristics with respect to BMI, with the hypothesis that BMI is related to prognosis and outcome.

methodsWe measured the BMI of 276 subjects of a tertiary care sample from the Maritime Bipolar Registry. Subjects were 16 to 83 years old, with psychiatric diagnoses of bipolar I disorder (n = 186), bipolar II disorder (n = 85), and BD not otherwise specified (n = 5). The registry included basic demographic data and details of the clinical presentation. We first examined the variables showing a significant association with BMI; subsequently, we modeled the relationship between BMI and psychiatric outcome using structural equation analysis.

resultsThe prevalence of obesity in our sample was 39.1%. We found higher BMI in subjects with a chronic course (p < 0.001) and longer duration of illness (p = 0.02), lower scores on the Global Assessment of Functioning Scale (p = 0.02), and on disability (p = 0.002). Overweight patients had more frequent comorbid subthreshold social (p = 0.02) and generalized anxiety disorders (p = 0.05), diabetes mellitus type II (p < 0.001), and hypertension (p = 0.001). Subjects who achieved complete remission of symptoms on lithium showed significantly lower BMI (p = 0.01).

conclusionsOur findings suggest that BMI is associated with the prognosis and outcome of BD. Whether this association is causal remains to be determined.

Indexed as

Body Mass IndexAdolescentAdultAgedAged, 80 and overAnalysis of VarianceBipolar DisorderComorbidityFemaleHumansMaleMental DisordersMiddle AgedModels, StatisticalObesityPredictive Value of Tests

Identifiers

PMID19689507
PMCPMC3544930

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.