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Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study

BACKGROUND: We assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea. METHODS: A total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with pros...

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Autores principales: Kim, Jong Wook, Ahn, Sun Tae, Oh, Mi Mi, Moon, Du Geon, Han, Kyungdo, Park, Hong Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374548/
https://www.ncbi.nlm.nih.gov/pubmed/30787682
http://dx.doi.org/10.3346/jkms.2019.34.e49
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author Kim, Jong Wook
Ahn, Sun Tae
Oh, Mi Mi
Moon, Du Geon
Han, Kyungdo
Park, Hong Seok
author_facet Kim, Jong Wook
Ahn, Sun Tae
Oh, Mi Mi
Moon, Du Geon
Han, Kyungdo
Park, Hong Seok
author_sort Kim, Jong Wook
collection PubMed
description BACKGROUND: We assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea. METHODS: A total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with prostate cancer were analyzed. Normal-weight and obesity were defined as body mass index (BMI) < 25 kg/m(2) and ≥ 25 kg/m(2), respectively. Metabolic obesity was defined as the presence ≥ 3 components of the metabolic syndrome. Participants were stratified into 4 groups: metabolically healthy, normal-weight; metabolically obese, normal-weight (MONW); metabolically healthy, obese (MHO); and metabolically obese, obese. Multivariate Cox regression analysis was performed to examine the relationship between metabolic health status and incidence of prostate cancer. RESULTS: During a mean 5.4 ± 1.1 years of follow-up, 56,552 patients were registered with a diagnosis of prostate cancer. When analyzed according to metabolic health status classification, the multivariable-adjusted hazard ratio (HR) was 1.143 for the MONW group, 1.097 for the MHO group, showing the HR for the MONW group was higher than that for the MHO group. As the number of metabolic syndrome components increased, HR increased significantly. When stratified based on BMI, metabolically obese patients showed significantly higher HR than metabolically healthy patients in all BMI groups. CONCLUSION: This population-based nationwide study revealed an association between metabolic health status and the incidence of prostate cancer, and the risk increased according to the number of components of the metabolic syndrome.
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spelling pubmed-63745482019-02-21 Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study Kim, Jong Wook Ahn, Sun Tae Oh, Mi Mi Moon, Du Geon Han, Kyungdo Park, Hong Seok J Korean Med Sci Original Article BACKGROUND: We assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea. METHODS: A total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with prostate cancer were analyzed. Normal-weight and obesity were defined as body mass index (BMI) < 25 kg/m(2) and ≥ 25 kg/m(2), respectively. Metabolic obesity was defined as the presence ≥ 3 components of the metabolic syndrome. Participants were stratified into 4 groups: metabolically healthy, normal-weight; metabolically obese, normal-weight (MONW); metabolically healthy, obese (MHO); and metabolically obese, obese. Multivariate Cox regression analysis was performed to examine the relationship between metabolic health status and incidence of prostate cancer. RESULTS: During a mean 5.4 ± 1.1 years of follow-up, 56,552 patients were registered with a diagnosis of prostate cancer. When analyzed according to metabolic health status classification, the multivariable-adjusted hazard ratio (HR) was 1.143 for the MONW group, 1.097 for the MHO group, showing the HR for the MONW group was higher than that for the MHO group. As the number of metabolic syndrome components increased, HR increased significantly. When stratified based on BMI, metabolically obese patients showed significantly higher HR than metabolically healthy patients in all BMI groups. CONCLUSION: This population-based nationwide study revealed an association between metabolic health status and the incidence of prostate cancer, and the risk increased according to the number of components of the metabolic syndrome. The Korean Academy of Medical Sciences 2019-01-31 /pmc/articles/PMC6374548/ /pubmed/30787682 http://dx.doi.org/10.3346/jkms.2019.34.e49 Text en © 2019 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Jong Wook
Ahn, Sun Tae
Oh, Mi Mi
Moon, Du Geon
Han, Kyungdo
Park, Hong Seok
Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title_full Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title_fullStr Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title_full_unstemmed Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title_short Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
title_sort incidence of prostate cancer according to metabolic health status: a nationwide cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374548/
https://www.ncbi.nlm.nih.gov/pubmed/30787682
http://dx.doi.org/10.3346/jkms.2019.34.e49
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