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Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)

BACKGROUND: Growing evidence suggests that abdominal obesity is a more important risk factor for the prognosis of cardiovascular and metabolic diseases than BMI. Somatic-affective symptoms of depression have also been linked to cardiovascular risk. The relationship between obesity and depression, ho...

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Autores principales: Wiltink, Jörg, Michal, Matthias, Wild, Philipp S, Zwiener, Isabella, Blettner, Maria, Münzel, Thomas, Schulz, Andreas, Kirschner, Yvonne, Beutel, Manfred E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849983/
https://www.ncbi.nlm.nih.gov/pubmed/24028572
http://dx.doi.org/10.1186/1471-244X-13-223
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author Wiltink, Jörg
Michal, Matthias
Wild, Philipp S
Zwiener, Isabella
Blettner, Maria
Münzel, Thomas
Schulz, Andreas
Kirschner, Yvonne
Beutel, Manfred E
author_facet Wiltink, Jörg
Michal, Matthias
Wild, Philipp S
Zwiener, Isabella
Blettner, Maria
Münzel, Thomas
Schulz, Andreas
Kirschner, Yvonne
Beutel, Manfred E
author_sort Wiltink, Jörg
collection PubMed
description BACKGROUND: Growing evidence suggests that abdominal obesity is a more important risk factor for the prognosis of cardiovascular and metabolic diseases than BMI. Somatic-affective symptoms of depression have also been linked to cardiovascular risk. The relationship between obesity and depression, however, has remained contradictory. Our aim was therefore to relate body mass index (BMI) and different measures for abdominal obesity (waist circumference, WC, waist-to-hip ratio, WHR, waist-to-height ratio, WHtR) to somatic vs. cognitive-affective symptoms of depression. METHODS: In a cross-sectional population based study, data on the first N = 5000 participants enrolled in the Gutenberg Health Study (GHS) are reported. To analyze the relationship between depression and obesity, we computed linear regression models with the anthropometric measure (BMI, WC, WHR, WHtR) as the dependent variable and life style factors, cardiovascular risk factors and psychotropic medications as potential confounders of obesity/depression. RESULTS: We found that only the somatic, but not the cognitive-affective symptoms of depression are consistently positively associated with anthropometric measures of obesity. CONCLUSIONS: We could demonstrate that the somatic-affective symptoms of depression rather than the cognitive-affective symptoms are strongly related to anthropometric measures. This is also true for younger obese starting at the age of 35 years. Our results are in line with previous studies indicating that visceral adipose tissue plays a key role in the relationship between obesity, depression and cardiovascular disease.
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spelling pubmed-38499832013-12-05 Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR) Wiltink, Jörg Michal, Matthias Wild, Philipp S Zwiener, Isabella Blettner, Maria Münzel, Thomas Schulz, Andreas Kirschner, Yvonne Beutel, Manfred E BMC Psychiatry Research Article BACKGROUND: Growing evidence suggests that abdominal obesity is a more important risk factor for the prognosis of cardiovascular and metabolic diseases than BMI. Somatic-affective symptoms of depression have also been linked to cardiovascular risk. The relationship between obesity and depression, however, has remained contradictory. Our aim was therefore to relate body mass index (BMI) and different measures for abdominal obesity (waist circumference, WC, waist-to-hip ratio, WHR, waist-to-height ratio, WHtR) to somatic vs. cognitive-affective symptoms of depression. METHODS: In a cross-sectional population based study, data on the first N = 5000 participants enrolled in the Gutenberg Health Study (GHS) are reported. To analyze the relationship between depression and obesity, we computed linear regression models with the anthropometric measure (BMI, WC, WHR, WHtR) as the dependent variable and life style factors, cardiovascular risk factors and psychotropic medications as potential confounders of obesity/depression. RESULTS: We found that only the somatic, but not the cognitive-affective symptoms of depression are consistently positively associated with anthropometric measures of obesity. CONCLUSIONS: We could demonstrate that the somatic-affective symptoms of depression rather than the cognitive-affective symptoms are strongly related to anthropometric measures. This is also true for younger obese starting at the age of 35 years. Our results are in line with previous studies indicating that visceral adipose tissue plays a key role in the relationship between obesity, depression and cardiovascular disease. BioMed Central 2013-09-12 /pmc/articles/PMC3849983/ /pubmed/24028572 http://dx.doi.org/10.1186/1471-244X-13-223 Text en Copyright © 2013 Wiltink 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 cited.
spellingShingle Research Article
Wiltink, Jörg
Michal, Matthias
Wild, Philipp S
Zwiener, Isabella
Blettner, Maria
Münzel, Thomas
Schulz, Andreas
Kirschner, Yvonne
Beutel, Manfred E
Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title_full Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title_fullStr Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title_full_unstemmed Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title_short Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR)
title_sort associations between depression and different measures of obesity (bmi, wc, whtr, whr)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849983/
https://www.ncbi.nlm.nih.gov/pubmed/24028572
http://dx.doi.org/10.1186/1471-244X-13-223
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