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/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). 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.
Ul-Haq et al.: Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants. BMC Psychiatry 2014 14:153. http://www.biomedcentral.com/1471-244X/14/153
Cross-sectional study to investigate ethnic differences in cardiovascular risk and mental health
One advantage of UK Biobank is the recruitment of participants from ethnic minority groups in sufficient numbers to enable meaningful comparisons of different ethnic groups. Ethnic groups are known to differ in their risk of a number of conditions including cardiovascular disease and mental health. For example Pakistani people have a high risk of heart disease and chinese people a high risk of high blood pressure and stroke. Understanding these differences and the reasons for them is of assistance in ensuring the appropriateness and effectiveness of screening, investigation and treatment interventions.
The aim of this study is to compare the different ethnic minority groups in terms of the amount and type of disease, the distribution by age, sex and socioeconomic deprivation and the lifestyle and environmental factors that are associated with the presence of disease.
In this study we will access only questionnaire and measurement data and compare ethnic sub-groups in terms of these data. At a later date, once available, we will be able to compare these sub-groups in terms of their biochemistry assays and follow-up events. Therefore, this initial study will focus on comparisons of risk and only later will we be able to make comparisons of actual disease occurrence.
|Lead investigator:||Professor Jill Pell|
|Lead institution:||University of Glasgow|
7 related Returns
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|501||774||Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants||2 Jun 2017|
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|504||774||Low birth weight and features of neuroticism and mood disorder in 83545 participants of the UK Biobank cohort||2 Jun 2017|
|508||774||Prevalence and Characteristics of Probable Major Depression and Bipolar Disorder within UK Biobank: Cross-Sectional Study of 172,751 Participants.||2 Jun 2017|
|465||Psychiatry Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants||Ul-Haq et al||2014||BMC 2014|