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Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies
BACKGROUND: A number of epidemiologic studies examining the relationship between body mass index (BMI) and the future occurrence of Parkinson’s disease (PD) reported largely inconsistent findings. We conducted a dose-response meta-analysis of prospective studies to clarify this association. METHODS:...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488297/ https://www.ncbi.nlm.nih.gov/pubmed/26121579 http://dx.doi.org/10.1371/journal.pone.0131778 |
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author | Wang, Yun-Liang Wang, Yu-Tong Li, Jin-Feng Zhang, Yu-Zheng Yin, Hong-Lei Han, Bing |
author_facet | Wang, Yun-Liang Wang, Yu-Tong Li, Jin-Feng Zhang, Yu-Zheng Yin, Hong-Lei Han, Bing |
author_sort | Wang, Yun-Liang |
collection | PubMed |
description | BACKGROUND: A number of epidemiologic studies examining the relationship between body mass index (BMI) and the future occurrence of Parkinson’s disease (PD) reported largely inconsistent findings. We conducted a dose-response meta-analysis of prospective studies to clarify this association. METHODS: Eligible prospective studies were identified by a search of PubMed and by checking the references of related publications. The generalized least squares trend estimation was employed to compute study-specific relative risks (RR) and 95% confidence intervals (CI) for an increase in BMI of 5 kg/m(2), and the random-effects model was used to compute summary RR and 95% CI. RESULTS: A total of 10 prospective studies were included in the final analysis. An increase in BMI of 5 kg/m(2) was not associated with PD risk, with a summary RR of 1.00 (95% CI = 0.89-1.12). Results of subgroup analysis found similar results except for a week positive association in studies that adjusted for alcohol consumption (RR = 1.13, 95% CI = 0.99-1.29), and a week inverse association in studies that did not (RR = 0.90, 95% CI = 0.78-1.04). In a separate meta-analysis, no significant association between overweight (25 kg/m(2) ≤ BMI ≤29.9 kg/m(2)), obesity (BMI≥30 kg/m(2)) or excess weight (BMI≥25 kg/m(2)) and PD risk was observed. CONCLUSION: This meta-analysis does not support the notion that higher BMI materially increases PD risk. However, a week positive BMI-PD association that may be masked by confounders still cannot be excluded, and future prospective studies with a good control for potential confounding factors are needed. |
format | Online Article Text |
id | pubmed-4488297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44882972015-07-02 Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies Wang, Yun-Liang Wang, Yu-Tong Li, Jin-Feng Zhang, Yu-Zheng Yin, Hong-Lei Han, Bing PLoS One Research Article BACKGROUND: A number of epidemiologic studies examining the relationship between body mass index (BMI) and the future occurrence of Parkinson’s disease (PD) reported largely inconsistent findings. We conducted a dose-response meta-analysis of prospective studies to clarify this association. METHODS: Eligible prospective studies were identified by a search of PubMed and by checking the references of related publications. The generalized least squares trend estimation was employed to compute study-specific relative risks (RR) and 95% confidence intervals (CI) for an increase in BMI of 5 kg/m(2), and the random-effects model was used to compute summary RR and 95% CI. RESULTS: A total of 10 prospective studies were included in the final analysis. An increase in BMI of 5 kg/m(2) was not associated with PD risk, with a summary RR of 1.00 (95% CI = 0.89-1.12). Results of subgroup analysis found similar results except for a week positive association in studies that adjusted for alcohol consumption (RR = 1.13, 95% CI = 0.99-1.29), and a week inverse association in studies that did not (RR = 0.90, 95% CI = 0.78-1.04). In a separate meta-analysis, no significant association between overweight (25 kg/m(2) ≤ BMI ≤29.9 kg/m(2)), obesity (BMI≥30 kg/m(2)) or excess weight (BMI≥25 kg/m(2)) and PD risk was observed. CONCLUSION: This meta-analysis does not support the notion that higher BMI materially increases PD risk. However, a week positive BMI-PD association that may be masked by confounders still cannot be excluded, and future prospective studies with a good control for potential confounding factors are needed. Public Library of Science 2015-06-29 /pmc/articles/PMC4488297/ /pubmed/26121579 http://dx.doi.org/10.1371/journal.pone.0131778 Text en © 2015 Wang et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Wang, Yun-Liang Wang, Yu-Tong Li, Jin-Feng Zhang, Yu-Zheng Yin, Hong-Lei Han, Bing Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title | Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title_full | Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title_fullStr | Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title_full_unstemmed | Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title_short | Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies |
title_sort | body mass index and risk of parkinson’s disease: a dose-response meta-analysis of prospective studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488297/ https://www.ncbi.nlm.nih.gov/pubmed/26121579 http://dx.doi.org/10.1371/journal.pone.0131778 |
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