Cargando…

Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants

BACKGROUND: 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 ci...

Descripción completa

Detalles Bibliográficos
Autores principales: Ul-Haq, Zia, Smith, Daniel J, Nicholl, Barbara I, Cullen, Breda, Martin, Daniel, Gill, Jason MR, Evans, Jonathan, Roberts, Beverly, Deary, Ian J, Gallacher, John, Hotopf, Matthew, Craddock, Nick, Mackay, Daniel F, Pell, Jill P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050096/
https://www.ncbi.nlm.nih.gov/pubmed/24884621
http://dx.doi.org/10.1186/1471-244X-14-153
_version_ 1782319905196998656
author Ul-Haq, Zia
Smith, Daniel J
Nicholl, Barbara I
Cullen, Breda
Martin, Daniel
Gill, Jason MR
Evans, Jonathan
Roberts, Beverly
Deary, Ian J
Gallacher, John
Hotopf, Matthew
Craddock, Nick
Mackay, Daniel F
Pell, Jill P
author_facet Ul-Haq, Zia
Smith, Daniel J
Nicholl, Barbara I
Cullen, Breda
Martin, Daniel
Gill, Jason MR
Evans, Jonathan
Roberts, Beverly
Deary, Ian J
Gallacher, John
Hotopf, Matthew
Craddock, Nick
Mackay, Daniel F
Pell, Jill P
author_sort Ul-Haq, Zia
collection PubMed
description BACKGROUND: 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%). METHODS: 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. RESULTS: 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/m(2)), obese I (30.0-34.9 kg/m(2)), II (35.0-39.9 kg/m(2)) and III (≥40.0 kg/m(2)) 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). CONCLUSION: 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.
format Online
Article
Text
id pubmed-4050096
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40500962014-06-11 Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants Ul-Haq, Zia Smith, Daniel J Nicholl, Barbara I Cullen, Breda Martin, Daniel Gill, Jason MR Evans, Jonathan Roberts, Beverly Deary, Ian J Gallacher, John Hotopf, Matthew Craddock, Nick Mackay, Daniel F Pell, Jill P BMC Psychiatry Research Article BACKGROUND: 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%). METHODS: 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. RESULTS: 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/m(2)), obese I (30.0-34.9 kg/m(2)), II (35.0-39.9 kg/m(2)) and III (≥40.0 kg/m(2)) 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). CONCLUSION: 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. BioMed Central 2014-05-26 /pmc/articles/PMC4050096/ /pubmed/24884621 http://dx.doi.org/10.1186/1471-244X-14-153 Text en Copyright © 2014 Ul-Haq et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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.
spellingShingle Research Article
Ul-Haq, Zia
Smith, Daniel J
Nicholl, Barbara I
Cullen, Breda
Martin, Daniel
Gill, Jason MR
Evans, Jonathan
Roberts, Beverly
Deary, Ian J
Gallacher, John
Hotopf, Matthew
Craddock, Nick
Mackay, Daniel F
Pell, Jill P
Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title_full Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title_fullStr Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title_full_unstemmed Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title_short Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants
title_sort gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 uk biobank participants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050096/
https://www.ncbi.nlm.nih.gov/pubmed/24884621
http://dx.doi.org/10.1186/1471-244X-14-153
work_keys_str_mv AT ulhaqzia genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT smithdanielj genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT nichollbarbarai genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT cullenbreda genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT martindaniel genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT gilljasonmr genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT evansjonathan genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT robertsbeverly genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT dearyianj genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT gallacherjohn genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT hotopfmatthew genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT craddocknick genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT mackaydanielf genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants
AT pelljillp genderdifferencesintheassociationbetweenadiposityandprobablemajordepressionacrosssectionalstudyof140564ukbiobankparticipants