Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study

Abstract Background To identify the association of meteorological factors/ambient air pollutants with medical care utilization for urolithiasis and estimate the effect size/time lags. Methods This is a population-based time-series analysis of 300,000 urolithiasis cases from eight large metropolitan...

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Autores principales: Tae Il Noh, Jinwook Hong, Seok Ho Kang, Jaehun Jung
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Publicado: BMC 2021
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spelling oai:doaj.org-article:7fec366aa7174bfa8d08b4dedee69db82021-12-05T12:26:00ZAssociation of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study10.1186/s12882-021-02614-51471-2369https://doaj.org/article/7fec366aa7174bfa8d08b4dedee69db82021-12-01T00:00:00Zhttps://doi.org/10.1186/s12882-021-02614-5https://doaj.org/toc/1471-2369Abstract Background To identify the association of meteorological factors/ambient air pollutants with medical care utilization for urolithiasis and estimate the effect size/time lags. Methods This is a population-based time-series analysis of 300,000 urolithiasis cases from eight large metropolitan areas in Korea. Seventeen meteorological factors and ambient air pollutants were measured daily during 2002–2017 for each metropolis. Data on daily medical utilization owing to urolithiasis were collected. A generalized additive model was used while factoring in the nonlinear relationship between meteorological factors/ambient air pollutants and urolithiasis and a time lag of ≤10 days. A multivariate analysis was performed. Backward elimination with an Akaike information criterion was used for fitting the multivariate model. Results Urolithiasis was significantly associated with average temperature, diurnal temperature range, sunshine duration, particulate matter (PM) ≤2.5 μm, and carbon monoxide (CO) levels. The incidence of ureteral stones was positively correlated with average temperature, PM ≤2.5 μm level, and CO level (time lags 0–9, 2–4, and 0–9 days, respectively). The incidence of renal stones was positively correlated with PM ≤2.5 μm and CO levels (time lags 2–4 and 0–9 days, respectively). PM ≤2.5 μm (0.05 and 0.07% per 10 μg/m3) and CO (2.05 and 2.25% per 0.1 ppm) conferred the highest excess risk on ureteral and renal stones. Conclusions Urolithiasis is affected by various meteorological factors and ambient air pollutants, PM ≤2.5 μm, and CO levels may be novel potential risk factors for this condition.Tae Il NohJinwook HongSeok Ho KangJaehun JungBMCarticleAir pollutionClimate, meteorological factorsUrolithiasisDiseases of the genitourinary system. UrologyRC870-923ENBMC Nephrology, Vol 22, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Air pollution
Climate, meteorological factors
Urolithiasis
Diseases of the genitourinary system. Urology
RC870-923
spellingShingle Air pollution
Climate, meteorological factors
Urolithiasis
Diseases of the genitourinary system. Urology
RC870-923
Tae Il Noh
Jinwook Hong
Seok Ho Kang
Jaehun Jung
Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
description Abstract Background To identify the association of meteorological factors/ambient air pollutants with medical care utilization for urolithiasis and estimate the effect size/time lags. Methods This is a population-based time-series analysis of 300,000 urolithiasis cases from eight large metropolitan areas in Korea. Seventeen meteorological factors and ambient air pollutants were measured daily during 2002–2017 for each metropolis. Data on daily medical utilization owing to urolithiasis were collected. A generalized additive model was used while factoring in the nonlinear relationship between meteorological factors/ambient air pollutants and urolithiasis and a time lag of ≤10 days. A multivariate analysis was performed. Backward elimination with an Akaike information criterion was used for fitting the multivariate model. Results Urolithiasis was significantly associated with average temperature, diurnal temperature range, sunshine duration, particulate matter (PM) ≤2.5 μm, and carbon monoxide (CO) levels. The incidence of ureteral stones was positively correlated with average temperature, PM ≤2.5 μm level, and CO level (time lags 0–9, 2–4, and 0–9 days, respectively). The incidence of renal stones was positively correlated with PM ≤2.5 μm and CO levels (time lags 2–4 and 0–9 days, respectively). PM ≤2.5 μm (0.05 and 0.07% per 10 μg/m3) and CO (2.05 and 2.25% per 0.1 ppm) conferred the highest excess risk on ureteral and renal stones. Conclusions Urolithiasis is affected by various meteorological factors and ambient air pollutants, PM ≤2.5 μm, and CO levels may be novel potential risk factors for this condition.
format article
author Tae Il Noh
Jinwook Hong
Seok Ho Kang
Jaehun Jung
author_facet Tae Il Noh
Jinwook Hong
Seok Ho Kang
Jaehun Jung
author_sort Tae Il Noh
title Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
title_short Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
title_full Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
title_fullStr Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
title_full_unstemmed Association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
title_sort association of meteorological factors and ambient air pollution on medical care utilization for urolithiasis: a population-based time-series study
publisher BMC
publishDate 2021
url https://doaj.org/article/7fec366aa7174bfa8d08b4dedee69db8
work_keys_str_mv AT taeilnoh associationofmeteorologicalfactorsandambientairpollutiononmedicalcareutilizationforurolithiasisapopulationbasedtimeseriesstudy
AT jinwookhong associationofmeteorologicalfactorsandambientairpollutiononmedicalcareutilizationforurolithiasisapopulationbasedtimeseriesstudy
AT seokhokang associationofmeteorologicalfactorsandambientairpollutiononmedicalcareutilizationforurolithiasisapopulationbasedtimeseriesstudy
AT jaehunjung associationofmeteorologicalfactorsandambientairpollutiononmedicalcareutilizationforurolithiasisapopulationbasedtimeseriesstudy
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