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      Association of Body Mass Index with Depression, Anxiety and Suicide—An Instrumental Variable Analysis of the HUNT Study

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          Abstract

          Objective

          While high body mass index is associated with an increased risk of depression and anxiety, cumulative evidence indicates that it is a protective factor for suicide. The associations from conventional observational studies of body mass index with mental health outcomes are likely to be influenced by reverse causality or confounding by ill-health. In the present study, we investigated the associations between offspring body mass index and parental anxiety, depression and suicide in order to avoid problems with reverse causality and confounding by ill-health.

          Methods

          We used data from 32,457 mother-offspring and 27,753 father-offspring pairs from the Norwegian HUNT-study. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and suicide death from national registers. Associations between offspring and own body mass index and symptoms of anxiety and depression and suicide mortality were estimated using logistic and Cox regression. Causal effect estimates were estimated with a two sample instrument variable approach using offspring body mass index as an instrument for parental body mass index.

          Results

          Both own and offspring body mass index were positively associated with depression, while the results did not indicate any substantial association between body mass index and anxiety. Although precision was low, suicide mortality was inversely associated with own body mass index and the results from the analysis using offspring body mass index supported these results. Adjusted odds ratios per standard deviation body mass index from the instrumental variable analysis were 1.22 (95% CI: 1.05, 1.43) for depression, 1.10 (95% CI: 0.95, 1.27) for anxiety, and the instrumental variable estimated hazard ratios for suicide was 0.69 (95% CI: 0.30, 1.63).

          Conclusion

          The present study’s results indicate that suicide mortality is inversely associated with body mass index. We also found support for a positive association between body mass index and depression, but not for anxiety.

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          Most cited references30

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          Suicide and suicidal behavior.

          Suicidal behavior is a leading cause of injury and death worldwide. Information about the epidemiology of such behavior is important for policy-making and prevention. The authors reviewed government data on suicide and suicidal behavior and conducted a systematic review of studies on the epidemiology of suicide published from 1997 to 2007. The authors' aims were to examine the prevalence of, trends in, and risk and protective factors for suicidal behavior in the United States and cross-nationally. The data revealed significant cross-national variability in the prevalence of suicidal behavior but consistency in age of onset, transition probabilities, and key risk factors. Suicide is more prevalent among men, whereas nonfatal suicidal behaviors are more prevalent among women and persons who are young, are unmarried, or have a psychiatric disorder. Despite an increase in the treatment of suicidal persons over the past decade, incidence rates of suicidal behavior have remained largely unchanged. Most epidemiologic research on suicidal behavior has focused on patterns and correlates of prevalence. The next generation of studies must examine synergistic effects among modifiable risk and protective factors. New studies must incorporate recent advances in survey methods and clinical assessment. Results should be used in ongoing efforts to decrease the significant loss of life caused by suicidal behavior.
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            The medical care costs of obesity: an instrumental variables approach.

            This paper is the first to use the method of instrumental variables (IV) to estimate the impact of obesity on medical costs in order to address the endogeneity of weight and to reduce the bias from reporting error in weight. Models are estimated using restricted-use data from the Medical Expenditure Panel Survey for 2000-2005. The IV model, which exploits genetic variation in weight as a natural experiment, yields estimates of the impact of obesity on medical costs that are considerably higher than the estimates reported in the previous literature. For example, obesity is associated with $656 higher annual medical care costs, but the IV results indicate that obesity raises annual medical costs by $2741 (in 2005 dollars). These results imply that the previous literature has underestimated the medical costs of obesity, resulting in underestimates of the economic rationale for government intervention to reduce obesity-related externalities. Copyright © 2011 Elsevier B.V. All rights reserved.
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              Mendelian randomization: prospects, potentials, and limitations.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 July 2015
                2015
                : 10
                : 7
                : e0131708
                Affiliations
                [1 ]Department of Public Health, Faculty of Medicine, Norwegian University of Science and Technology, 7491, Trondheim, Norway
                [2 ]Forensic Department and Research Centre Bröset St. Olav’s University Hospital Trondheim, Trondheim, Norway
                [3 ]School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
                [4 ]MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
                [5 ]Department of Human Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
                [6 ]Neurobiology of Stress and Behaviour Research Group, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom
                Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JHB GDS DG PRR. Analyzed the data: DC. Wrote the paper: JHB DC TILN ACEL GDS DG PRR.

                Article
                PONE-D-15-06804
                10.1371/journal.pone.0131708
                4500562
                26167892
                2353fc6f-99cf-4a11-a69c-af6080d23473
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 16 February 2015
                : 4 June 2015
                Page count
                Figures: 2, Tables: 5, Pages: 15
                Funding
                David Carslake works in a unit that receives funds from the UK Medical Research Council and the University of Bristol. David Gunnell is a National Institute for Health Research Senior Investigator. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors state that there are no conflicts of interest.
                Categories
                Research Article
                Custom metadata
                Data are available from HUNT Research Centre (hunt.no) and Statistics Norway (ssb.no), dependent on approval from the Ethics Committee, for researchers who meet the criteria for access to confidential data.

                Uncategorized
                Uncategorized

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