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Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis

Seasonal variation in urinary stone presentation is well described in the literature. However, previous studies have some limitations. To explore overall cumulative exposure-response and the heterogeneity in the relationships between daily meteorological factors and urolithiasis incidence in 6 major...

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Autores principales: Chi, Byung Hoon, Chang, In Ho, Choi, Se Young, Suh, Dong Churl, Chang, Chong won, Choi, Yun Jung, Lee, Seo Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426253/
https://www.ncbi.nlm.nih.gov/pubmed/28480659
http://dx.doi.org/10.3346/jkms.2017.32.6.999
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author Chi, Byung Hoon
Chang, In Ho
Choi, Se Young
Suh, Dong Churl
Chang, Chong won
Choi, Yun Jung
Lee, Seo Yeon
author_facet Chi, Byung Hoon
Chang, In Ho
Choi, Se Young
Suh, Dong Churl
Chang, Chong won
Choi, Yun Jung
Lee, Seo Yeon
author_sort Chi, Byung Hoon
collection PubMed
description Seasonal variation in urinary stone presentation is well described in the literature. However, previous studies have some limitations. To explore overall cumulative exposure-response and the heterogeneity in the relationships between daily meteorological factors and urolithiasis incidence in 6 major Korean cities, we analyzed data on 687,833 urolithiasis patients from 2009 to 2013 for 6 large cities in Korea: Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan. Using a time-series design and distributing lag nonlinear methods, we estimated the relative risk (RR) of mean daily urolithiasis incidence (MDUI) associated with mean daily meteorological factors, including the cumulative RR for a 20-day period. The estimated location-specific associations were then pooled using multivariate meta-regression models. A positive association was confirmed between MDUI and mean daily temperature (MDT), and a negative association was shown between MDUI and mean daily relative humidity (MDRH) in all cities. The lag effect was within 5 days. The multivariate Cochran Q test for heterogeneity at MDT was 12.35 (P = 0.136), and the related I(2) statistic accounted for 35.2% of the variability. Additionally, the Cochran Q test for heterogeneity and I(2) statistic at MDHR were 26.73 (P value = 0.148) and 24.7% of variability in the total group. Association was confirmed between daily temperature, relative humidity and urolithiasis incidence, and the differences in urolithiasis incidence might have been partially attributable to the different frequencies and the ranges in temperature and humidity between cities in Korea.
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spelling pubmed-54262532017-06-01 Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis Chi, Byung Hoon Chang, In Ho Choi, Se Young Suh, Dong Churl Chang, Chong won Choi, Yun Jung Lee, Seo Yeon J Korean Med Sci Original Article Seasonal variation in urinary stone presentation is well described in the literature. However, previous studies have some limitations. To explore overall cumulative exposure-response and the heterogeneity in the relationships between daily meteorological factors and urolithiasis incidence in 6 major Korean cities, we analyzed data on 687,833 urolithiasis patients from 2009 to 2013 for 6 large cities in Korea: Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan. Using a time-series design and distributing lag nonlinear methods, we estimated the relative risk (RR) of mean daily urolithiasis incidence (MDUI) associated with mean daily meteorological factors, including the cumulative RR for a 20-day period. The estimated location-specific associations were then pooled using multivariate meta-regression models. A positive association was confirmed between MDUI and mean daily temperature (MDT), and a negative association was shown between MDUI and mean daily relative humidity (MDRH) in all cities. The lag effect was within 5 days. The multivariate Cochran Q test for heterogeneity at MDT was 12.35 (P = 0.136), and the related I(2) statistic accounted for 35.2% of the variability. Additionally, the Cochran Q test for heterogeneity and I(2) statistic at MDHR were 26.73 (P value = 0.148) and 24.7% of variability in the total group. Association was confirmed between daily temperature, relative humidity and urolithiasis incidence, and the differences in urolithiasis incidence might have been partially attributable to the different frequencies and the ranges in temperature and humidity between cities in Korea. The Korean Academy of Medical Sciences 2017-06 2017-03-30 /pmc/articles/PMC5426253/ /pubmed/28480659 http://dx.doi.org/10.3346/jkms.2017.32.6.999 Text en © 2017 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
Chi, Byung Hoon
Chang, In Ho
Choi, Se Young
Suh, Dong Churl
Chang, Chong won
Choi, Yun Jung
Lee, Seo Yeon
Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title_full Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title_fullStr Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title_full_unstemmed Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title_short Daily Mean Temperature and Urolithiasis Presentation in Six Cities in Korea: Time-Series Analysis
title_sort daily mean temperature and urolithiasis presentation in six cities in korea: time-series analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426253/
https://www.ncbi.nlm.nih.gov/pubmed/28480659
http://dx.doi.org/10.3346/jkms.2017.32.6.999
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