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The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study
Objective: To estimate the association between depressive symptoms and physical diseases in Switzerland, as respective findings might inform about future estimates of mental and physical health care costs. Methods: A population-based study, using data from the Swiss Health Survey collected by comput...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370044/ https://www.ncbi.nlm.nih.gov/pubmed/25853116 http://dx.doi.org/10.3389/fpubh.2015.00047 |
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author | Rodic, Donja Meyer, Andrea Hans Meinlschmidt, Gunther |
author_facet | Rodic, Donja Meyer, Andrea Hans Meinlschmidt, Gunther |
author_sort | Rodic, Donja |
collection | PubMed |
description | Objective: To estimate the association between depressive symptoms and physical diseases in Switzerland, as respective findings might inform about future estimates of mental and physical health care costs. Methods: A population-based study, using data from the Swiss Health Survey collected by computer-assisted telephone interviews and additional written questionnaires during the year 2007 (n = 18,760) in Switzerland. The multistage stratified random sample included subjects aged 15 years and older, living in a private Swiss household with a telephone connection. Complete data were available for 14,348 subjects (51% of all subjects reached by telephone). Logistic regression analyses were used to estimate the associations between depressive symptoms and any physical disease, or a specific physical disease out of 13 non-communicable physical diseases assessed with a self-report checklist on common physical diseases. Analyses were adjusted for sex, age, education, occupation, and household income. Results: In the adjusted models, depressive symptoms were associated with arthrosis and arthritis [Odds Ratio (OR) = 1.79, 95% confidence interval (CI) = 1.28-2.50] and any physical disease (OR = 1.67, 95% CI = 1.33-2.10) after controlling for multiple testing. Conclusion: Our findings contribute to a better understanding of the comorbidity of depressive symptoms and arthrosis and arthritis in Switzerland and might have implications for more precise future estimates of mental and physical health care costs. |
format | Online Article Text |
id | pubmed-4370044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43700442015-04-07 The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study Rodic, Donja Meyer, Andrea Hans Meinlschmidt, Gunther Front Public Health Public Health Objective: To estimate the association between depressive symptoms and physical diseases in Switzerland, as respective findings might inform about future estimates of mental and physical health care costs. Methods: A population-based study, using data from the Swiss Health Survey collected by computer-assisted telephone interviews and additional written questionnaires during the year 2007 (n = 18,760) in Switzerland. The multistage stratified random sample included subjects aged 15 years and older, living in a private Swiss household with a telephone connection. Complete data were available for 14,348 subjects (51% of all subjects reached by telephone). Logistic regression analyses were used to estimate the associations between depressive symptoms and any physical disease, or a specific physical disease out of 13 non-communicable physical diseases assessed with a self-report checklist on common physical diseases. Analyses were adjusted for sex, age, education, occupation, and household income. Results: In the adjusted models, depressive symptoms were associated with arthrosis and arthritis [Odds Ratio (OR) = 1.79, 95% confidence interval (CI) = 1.28-2.50] and any physical disease (OR = 1.67, 95% CI = 1.33-2.10) after controlling for multiple testing. Conclusion: Our findings contribute to a better understanding of the comorbidity of depressive symptoms and arthrosis and arthritis in Switzerland and might have implications for more precise future estimates of mental and physical health care costs. Frontiers Media S.A. 2015-03-23 /pmc/articles/PMC4370044/ /pubmed/25853116 http://dx.doi.org/10.3389/fpubh.2015.00047 Text en Copyright © 2015 Rodic, Meyer and Meinlschmidt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Rodic, Donja Meyer, Andrea Hans Meinlschmidt, Gunther The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title | The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title_full | The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title_fullStr | The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title_full_unstemmed | The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title_short | The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study |
title_sort | association between depressive symptoms and physical diseases in switzerland: a cross-sectional general population study |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370044/ https://www.ncbi.nlm.nih.gov/pubmed/25853116 http://dx.doi.org/10.3389/fpubh.2015.00047 |
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