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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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 |
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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 |
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