Literature DB >> 28493605

Adverse effects of obesity on cognitive functions in individuals at ultra high risk for bipolar disorder: Results from the global mood and brain science initiative.

Roger S McIntyre1,2,3,4,5,6, Rodrigo B Mansur2,5, Yena Lee3,5, Letícia Japiassú5, Kun Chen5,6, Rui Lu5,6, Weicong Lu5,6, Xiaodong Chen5,6, Ting Li5, Guiyun Xu1,6, Kangguang Lin1,6,7.   

Abstract

BACKGROUND: The burden of illness associated with bipolar disorder (BD) warrants early pre-emption/prevention. Prediction models limited to psychiatric phenomenology have insufficient predictive power. Herein, we aimed to evaluate whether the presence of overweight/obesity is associated with greater cognitive decline in individuals at high risk (HR) or ultra high risk (UHR) for BD.
METHODS: We conducted a retrospective analysis to investigate the moderational role of body mass index (BMI) on measures of cognitive function. Subjects between the ages of 8 and 28 years with a positive family history of BD were compared to age-matched controls with a negative family history of BD. Subjects with at least one biological parent with bipolar I/II disorder were further stratified into UHR or HR status by the presence or absence, respectively, of subthreshold hypomanic, major depressive, attenuated psychotic, and/or attention-deficit/hyperactivity disorder symptoms.
RESULTS: A total of 36 individuals at HR for BD, 33 individuals at UHR for BD, and 48 age-matched controls were included in the analysis. Higher BMI was significantly associated with lower performance on measures of processing speed (i.e. Brief Assessment of Cognition in Schizophrenia-symbol coding: r=-.186, P=.047) and attention/vigilance (i.e. Continuous Performance Test-Identical Pairs: r=-.257, P=.006). There were trends for negative correlations between BMI and measures of working memory (i.e. Wechsler Memory Scale-III Spatial Span: r=-0.177, P=.059) and overall cognitive function (i.e. Measurement and Treatment Research to Improve Cognition in Schizophrenia composite score: r=-.157, P=.097). Negative associations between BMI and cognitive performance were significantly stronger in the UHR group than in the HR group, when compared to controls.
CONCLUSIONS: Individuals at varying degrees of risk for BD exhibit greater cognitive impairment as a function of co-existing overweight/obesity. Prediction models for BD may be substantively informed by including information related to overweight/obesity and, perhaps, other general medical conditions that share pathology with BD. Our findings herein, as well as the salutary effects of bariatric surgery on measures of cognitive function in obese populations, provide the rationale for hypothesizing that mitigating excess weight in individuals at elevated risk for BD may forestall or prevent declaration of illness.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  bipolar disorder; clinical staging model; cognition; obesity; risk factors

Mesh:

Year:  2017        PMID: 28493605     DOI: 10.1111/bdi.12491

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  8 in total

1.  Aberrant brain structural-functional connectivity coupling in euthymic bipolar disorder.

Authors:  Ruibin Zhang; Robin Shao; Guiyun Xu; Weicong Lu; Wenjing Zheng; Qingzhe Miao; Kun Chen; Yanling Gao; Yanan Bi; Lijie Guan; Roger S McIntyre; Yue Deng; Xuejun Huang; Kwok-Fai So; Kangguang Lin
Journal:  Hum Brain Mapp       Date:  2019-04-24       Impact factor: 5.038

Review 2.  Prolonging healthy aging: Longevity vitamins and proteins.

Authors:  Bruce N Ames
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

3.  Effect of Obesity on Cognitive Function among School Adolescents: A Cross-Sectional Study.

Authors:  Sultan Ayoub Meo; Abdulrahman Abdulaziz Altuwaym; Rayan Mohammed Alfallaj; Khalid Abdulaziz Alduraibi; Abdullah Mohammed Alhamoudi; Saud Mohammed Alghamdi; Ashfaq Akram
Journal:  Obes Facts       Date:  2019-03-13       Impact factor: 3.942

4.  Exploring brain insulin resistance in adults with bipolar depression using extracellular vesicles of neuronal origin.

Authors:  Rodrigo B Mansur; Francheska Delgado-Peraza; Mehala Subramaniapillai; Yena Lee; Michelle Iacobucci; Flora Nasri; Nelson Rodrigues; Joshua D Rosenblat; Elisa Brietzke; Victoria E Cosgrove; Nicole E Kramer; Trisha Suppes; Charles L Raison; Andrea Fagiolini; Natalie Rasgon; Sahil Chawla; Carlos Nogueras-Ortiz; Dimitrios Kapogiannis; Roger S McIntyre
Journal:  J Psychiatr Res       Date:  2020-12-04       Impact factor: 4.791

5.  Sex differences in obesity and cognitive function in a cognitively normal aging Chinese Han population.

Authors:  Wei Li; Qi Qiu; Lin Sun; Ling Yue; Tao Wang; Xia Li; Shifu Xiao
Journal:  Neuropsychiatr Dis Treat       Date:  2017-09-14       Impact factor: 2.570

6.  Neuropsychology of Bipolar Disorder.

Authors:  Peter Gallagher
Journal:  Curr Top Behav Neurosci       Date:  2021

7.  Evidence that genes involved in hedgehog signaling are associated with both bipolar disorder and high BMI.

Authors:  Claudia Pisanu; Michael J Williams; Diana M Ciuculete; Gaia Olivo; Maria Del Zompo; Alessio Squassina; Helgi B Schiöth
Journal:  Transl Psychiatry       Date:  2019-11-21       Impact factor: 6.222

8.  Enhancing Quality Measurement With Clinical Information: A Use Case of Body Mass Index Change Among Children Taking Second Generation Antipsychotics.

Authors:  Tianyao Huo; Qian Li; Michelle I Cardel; Regina Bussing; Almut G Winterstein; Dominick J Lemas; Hongzhi Xu; Jennifer Woodard; Kamila Mistry; Sarah Scholle; Keith E Muller; Elizabeth A Shenkman
Journal:  Acad Pediatr       Date:  2022-04       Impact factor: 2.993

  8 in total

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