Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference...
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| Veröffentlicht in: | BMC psychiatry 2014-05, Vol.14 (1), p.153-153, Article 153 |
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| creator | Ul-Haq, Zia Smith, Daniel J Nicholl, Barbara I Cullen, Breda Martin, Daniel Gill, Jason M R Evans, Jonathan Roberts, Beverly Deary, Ian J Gallacher, John Hotopf, Matthew Craddock, Nick Mackay, Daniel F Pell, Jill P |
| description | Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%).
We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication.
Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p |
| doi_str_mv | 10.1186/1471-244x-14-153 |
| format | Article |
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We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication.
Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p < 0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m2), obese I (30.0-34.9 kg/m2), II (35.0-39.9 kg/m2) and III (≥40.0 kg/m2) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006).
Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk.</description><identifier>ISSN: 1471-244X</identifier><identifier>EISSN: 1471-244X</identifier><identifier>DOI: 10.1186/1471-244x-14-153</identifier><identifier>PMID: 24884621</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adiposity ; Adult ; Analysis ; Biological Specimen Banks ; Body Composition ; Body Mass Index ; Comorbidity ; Cross-Sectional Studies ; Depressive Disorder, Major - epidemiology ; Female ; Humans ; Life Style ; Logistic Models ; Male ; Measurement ; Medical research ; Medical societies ; Medicine, Experimental ; Mental depression ; Middle Aged ; Obesity ; Obesity - epidemiology ; Psychiatry ; Quality of life ; Sex Characteristics ; Studies ; United Kingdom - epidemiology ; Waist Circumference ; Waist-Hip Ratio ; Weight control</subject><ispartof>BMC psychiatry, 2014-05, Vol.14 (1), p.153-153, Article 153</ispartof><rights>COPYRIGHT 2014 BioMed Central Ltd.</rights><rights>2014 Ul-Haq et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Copyright © 2014 Ul-Haq et al.; licensee BioMed Central Ltd. 2014 Ul-Haq et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b650t-877b4fd65e555d204df3f75175219ef4dd51931895aeacd7a9c4957640cab8cf3</citedby><cites>FETCH-LOGICAL-b650t-877b4fd65e555d204df3f75175219ef4dd51931895aeacd7a9c4957640cab8cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050096/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050096/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24884621$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ul-Haq, Zia</creatorcontrib><creatorcontrib>Smith, Daniel J</creatorcontrib><creatorcontrib>Nicholl, Barbara I</creatorcontrib><creatorcontrib>Cullen, Breda</creatorcontrib><creatorcontrib>Martin, Daniel</creatorcontrib><creatorcontrib>Gill, Jason M R</creatorcontrib><creatorcontrib>Evans, Jonathan</creatorcontrib><creatorcontrib>Roberts, Beverly</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Gallacher, John</creatorcontrib><creatorcontrib>Hotopf, Matthew</creatorcontrib><creatorcontrib>Craddock, Nick</creatorcontrib><creatorcontrib>Mackay, Daniel F</creatorcontrib><creatorcontrib>Pell, Jill P</creatorcontrib><title>Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants</title><title>BMC psychiatry</title><addtitle>BMC Psychiatry</addtitle><description>Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%).
We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication.
Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p < 0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m2), obese I (30.0-34.9 kg/m2), II (35.0-39.9 kg/m2) and III (≥40.0 kg/m2) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006).
Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk.</description><subject>Adiposity</subject><subject>Adult</subject><subject>Analysis</subject><subject>Biological Specimen Banks</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>Comorbidity</subject><subject>Cross-Sectional Studies</subject><subject>Depressive Disorder, Major - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Life Style</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Measurement</subject><subject>Medical research</subject><subject>Medical societies</subject><subject>Medicine, Experimental</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Psychiatry</subject><subject>Quality of life</subject><subject>Sex Characteristics</subject><subject>Studies</subject><subject>United Kingdom - epidemiology</subject><subject>Waist Circumference</subject><subject>Waist-Hip Ratio</subject><subject>Weight control</subject><issn>1471-244X</issn><issn>1471-244X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNksFu1DAQhiMEoqVw54QsceFAip3YccwBqaygICpxoRI3y7HHrZfETu0E2MfgjXG6bemiIiEfbM3883k0_xTFU4IPCWmbV4RyUlaU_iwJLQmr7xX716Gv92-994pHKa0xJrxl5GGxV9G2pU1F9otfx-ANRGSctRDBa0jIeTSdA1IpBe3U5IJHHUw_ADxSxo0huWmDlDdojKFTXQ9oUOuQGTBGSCnrXyOFdAwplQn0AlA9StNsNihYRCh-yRqKTj-hty4D_Dc0qjg57Ublp_S4eGBVn-DJ1X1QnL5_92X1oTz5fPxxdXRSdg3DU9ly3lFrGgaMMVNhamxtOSOcVUSApcYwImrSCqZAacOV0FQw3lCsVddqWx8Ub7bcce4GMBr8FFUvx-gGFTcyKCd3M96dy7PwXVLMMBZNBqy2gM6FfwB2MzoMcrFELpbkl8yOZcqLqzZiuJghTXJwSUPfKw9hTllDcVVTSvF_SGvKRcUrlqXP_5KuwxyzDZcqTmgjBP-jOlM9SOdtyH3qBSqPWC2YyGuyfHt4hyofA4PTwYN1Ob5TgLcFlysQwd7MhGC57O1dU3h224ybgutFrX8DIgvpRQ</recordid><startdate>20140526</startdate><enddate>20140526</enddate><creator>Ul-Haq, Zia</creator><creator>Smith, Daniel J</creator><creator>Nicholl, Barbara I</creator><creator>Cullen, Breda</creator><creator>Martin, Daniel</creator><creator>Gill, Jason M R</creator><creator>Evans, Jonathan</creator><creator>Roberts, Beverly</creator><creator>Deary, Ian J</creator><creator>Gallacher, John</creator><creator>Hotopf, Matthew</creator><creator>Craddock, Nick</creator><creator>Mackay, Daniel F</creator><creator>Pell, Jill P</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140526</creationdate><title>Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants</title><author>Ul-Haq, Zia ; Smith, Daniel J ; Nicholl, Barbara I ; Cullen, Breda ; Martin, Daniel ; Gill, Jason M R ; Evans, Jonathan ; Roberts, Beverly ; Deary, Ian J ; Gallacher, John ; Hotopf, Matthew ; Craddock, Nick ; Mackay, Daniel F ; Pell, Jill P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b650t-877b4fd65e555d204df3f75175219ef4dd51931895aeacd7a9c4957640cab8cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adiposity</topic><topic>Adult</topic><topic>Analysis</topic><topic>Biological Specimen Banks</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>Comorbidity</topic><topic>Cross-Sectional Studies</topic><topic>Depressive Disorder, Major - epidemiology</topic><topic>Female</topic><topic>Humans</topic><topic>Life Style</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Measurement</topic><topic>Medical research</topic><topic>Medical societies</topic><topic>Medicine, Experimental</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Psychiatry</topic><topic>Quality of life</topic><topic>Sex Characteristics</topic><topic>Studies</topic><topic>United Kingdom - epidemiology</topic><topic>Waist Circumference</topic><topic>Waist-Hip Ratio</topic><topic>Weight control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ul-Haq, Zia</creatorcontrib><creatorcontrib>Smith, Daniel J</creatorcontrib><creatorcontrib>Nicholl, Barbara I</creatorcontrib><creatorcontrib>Cullen, Breda</creatorcontrib><creatorcontrib>Martin, Daniel</creatorcontrib><creatorcontrib>Gill, Jason M R</creatorcontrib><creatorcontrib>Evans, Jonathan</creatorcontrib><creatorcontrib>Roberts, Beverly</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Gallacher, John</creatorcontrib><creatorcontrib>Hotopf, Matthew</creatorcontrib><creatorcontrib>Craddock, Nick</creatorcontrib><creatorcontrib>Mackay, Daniel F</creatorcontrib><creatorcontrib>Pell, Jill P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ul-Haq, Zia</au><au>Smith, Daniel J</au><au>Nicholl, Barbara I</au><au>Cullen, Breda</au><au>Martin, Daniel</au><au>Gill, Jason M R</au><au>Evans, Jonathan</au><au>Roberts, Beverly</au><au>Deary, Ian J</au><au>Gallacher, John</au><au>Hotopf, Matthew</au><au>Craddock, Nick</au><au>Mackay, Daniel F</au><au>Pell, Jill P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants</atitle><jtitle>BMC psychiatry</jtitle><addtitle>BMC Psychiatry</addtitle><date>2014-05-26</date><risdate>2014</risdate><volume>14</volume><issue>1</issue><spage>153</spage><epage>153</epage><pages>153-153</pages><artnum>153</artnum><issn>1471-244X</issn><eissn>1471-244X</eissn><abstract>Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%).
We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication.
Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p < 0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m2), obese I (30.0-34.9 kg/m2), II (35.0-39.9 kg/m2) and III (≥40.0 kg/m2) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006).
Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24884621</pmid><doi>10.1186/1471-244x-14-153</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adiposity Adult Analysis Biological Specimen Banks Body Composition Body Mass Index Comorbidity Cross-Sectional Studies Depressive Disorder, Major - epidemiology Female Humans Life Style Logistic Models Male Measurement Medical research Medical societies Medicine, Experimental Mental depression Middle Aged Obesity Obesity - epidemiology Psychiatry Quality of life Sex Characteristics Studies United Kingdom - epidemiology Waist Circumference Waist-Hip Ratio Weight control |
| title | Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants |
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