Bipolar disorder and adiposity : a study using whole body dual energy X-ray absorptiometry scans Williams, Lana J., Pasco, Julie A., Jacka, Felice N., Henry, Margaret J., Dodd, Seetal, Nicholson, Geoffrey C., Kotowicz, Mark A. and Berk, Michael 2011, Bipolar disorder and adiposity : a study using whole body dual energy X-ray absorptiometry scans, Acta neuropsychiatrica, vol. 23, no. 5, pp. 219-223, doi: 10.1111/j.1601-5215.2011.00554.x. Attached Files Name Description MIMEType Size Downloads Title Bipolar disorder and adiposity : a study using whole body dual energy X-ray absorptiometry scans Author(s) Williams, Lana J. orcid.org/0000-0002-1377-1272 Pasco, Julie A. orcid.org/0000-0002-8968-4714 Jacka, Felice N. orcid.org/0000-0002-9825-0328 Henry, Margaret J. Dodd, Seetal orcid.org/0000-0002-7918-4636 Nicholson, Geoffrey C. Kotowicz, Mark A. orcid.org/0000-0002-8094-1411 Berk, Michael orcid.org/0000-0002-5554-6946 Journal name Acta neuropsychiatrica Volume number 23 Issue number 5 Start page 219 End page 223 Total pages 5 Publisher Wiley - Blackwell Publishing Place of publication Malden, Mass Publication date 2011-10 ISSN 1601-5215 0924-2708 Keyword(s) adiposity bipolar disorder body composition dual energy X-ray absorptiometry scans psychiatric epidemiology Summary Objective: Previous research has demonstrated a relationship between adiposity and bipolar disorder, although data are derived predominantly from patient samples and use indirect methods of assessing adiposity. This study investigated the association between bipolar disorder and several indices of adiposity, including body fat mass as measured by dual energy X-ray absorptiometry (DXA), in a community-based sample. Methods: In this study, 21 women with bipolar disorder and 523 healthy controls were drawn from an age-stratified, random, community-based sample of women (20–93 years) participating in the Geelong Osteoporosis Study. Bipolar disorder was diagnosed utilising a semi-structured clinical interview. Anthropometric measurements (weight, height, waist and hip circumference) were taken and fat mass was determined from whole body DXA scans (Lunar DPX-L). Results: Those with bipolar disorder tended to have greater adiposity. Age-adjusted mean (95% CI) values for bipolar versus controls according to adiposity indices were weight 75.6 (68.9–82.3) versus 72.6 (71.3–74.0) kg, waist circumference 89.8 (84.1–95.6) versus 87.3 (86.1–88.5) cm, waist:hip ratio 0.85 (0.82–0.87) versus 0.84 (0.83–0.84), body mass index 27.6 (25.1–30.1) versus 27.5 (27.0–28.0) kg/m2, fat mass 31.4 (26.5–36.3) versus 28.6 (27.5–29.5) kg and %body fat 40.4 (36.9–43.9) versus 38.0 (37.3–38.7)%; all p > 0.05. Further adjustment for height, smoking, alcohol, psychotropic medication, energy intake or physical activity did not influence these patterns. Conclusion: Although a pattern suggestive of greater adiposity among those with bipolar disorder was observed, no significant differences were detected. We cannot exclude the possibility of a type II error. Further research with a larger sample may produce more conclusive results. Language eng DOI 10.1111/j.1601-5215.2011.00554.x Field of Research 119999 Medical and Health Sciences not elsewhere classified Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences HERDC Research category C1 Refereed article in a scholarly journal Related work DU:30042980 Copyright notice ©2011, John Wiley & Sons Persistent URL http://hdl.handle.net/10536/DRO/DU:30035767 Document type: Journal Article Collection: School of Medicine Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Link to Related Work Self-reported depression and cardiovascular risk factors in a community sample of women Journal Article (deposited 03-03-2011) Geelong Osteoporosis Study Health Database Data Collection (deposited 06-03-2012) Genetic variation and obesity in Australian women: A prospective study. 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Versions Version Filter Type Wed, 22 Jun 2011, 15:53:07 EST Fri, 07 Oct 2011, 15:19:05 EST Fri, 07 Oct 2011, 15:20:41 EST Tue, 11 Oct 2011, 11:42:59 EST Thu, 08 Mar 2012, 10:11:40 EST Fri, 12 Apr 2013, 14:50:49 EST Mon, 17 Jun 2013, 16:48:22 EST Mon, 19 Jan 2015, 11:24:00 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 874 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Wed, 22 Jun 2011, 15:53:07 EST

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