Abstract
Urolithiasis was a global disease and it was more common in southern China. This study looked into the association between daily temperature and urolithiasis hospital admissions in Ganzhou, a large prefecture-level city in southern China. In Ganzhou City from 2016 to 2019, a total of 60,881 hospitalized cases for urolithiasis from 69 hospitals and meteorological data were gathered. The effect of high ambient temperature on urolithiasis hospital admissions was estimated using a distributed lag nonlinear model. Stratified analysis was done to examine sex differences. The study found that in Ganzhou of China, the exposure–response curves approximated a “J” shape which across genders were basically similar. The maximum lag effect occurred on the second day after high temperatures for males but on the third day for females. Compared to the 10 °C reference temperature and considering the cumulative lag effect of 10 days, the relative risks of the daily mean temperature at the 95th percentile on the total, male, and female hospital admissions for urolithiasis were 2.026 (95% CI: 1.628, 2.521), 2.041 (95% CI: 1.603, 2.598), and 2.030 (95% CI: 1.552, 2.655), respectively, but the relative risks between sex were not statistically significant (p = 0.977). Urolithiasis morbidity risk in China could be exacerbated by high temperatures. The effect of high temperature on urolithiasis was similar across genders.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Altman DG, Bland JM (2003) Interaction revisited: the difference between two estimates. BMJ 326(7382):219. https://doi.org/10.1136/bmj.326.7382.219
Armstrong B (2006) Models for the relationship between ambient temperature and daily mortality. Epidemiology 17(6):624–631. https://doi.org/10.1097/01.ede.0000239732.50999.8f
Baatiah NY, Alhazmi RB, Albathi FA, Albogami EG, Mohammedkhalil AK, Alsaywid BS (2020) Urolithiasis: prevalence, risk factors, and public awareness regarding dietary and lifestyle habits in Jeddah, Saudi Arabia in 2017. Urol Ann 12(1):57–62. https://doi.org/10.4103/UA.UA_13_19
Borg M, Bi P, Nitschke M, Williams S, McDonald S (2017) The impact of daily temperature on renal disease incidence: an ecological study. Environ Health 16(1):114. https://doi.org/10.1186/s12940-017-0331-4
Boscolo-Berto R, Dal Moro F (2006) Re: Time to development of symptomatic urinary calculi in a high risk environment. J Urol 175(2):789–790. https://doi.org/10.1016/s0022-5347(05)00177-1
Boscolo-Berto R (2010) Seasonal variations of renal colics and urolithiasis: is this the time for a shared benchmark to study the phenomenon? Urol Res 38(6):523–524. https://doi.org/10.1007/s00240-010-0264-7
Boscolo-Berto R, Dal Moro F, Abate A, Arandjelovic G, Tosato F, Bassi P (2008) Do weather conditions influence the onset of renal colic? A novel approach to analysis. Urol Int 80(1):19–25. https://doi.org/10.1159/000111724
Brikowski TH, Lotan Y, Pearle MS (2008) Climate-related increase in the prevalence of urolithiasis in the United States. Proc Natl Acad Sci U S A 105(28):9841–9846. https://doi.org/10.1073/pnas.0709652105
Chen YK, Lin HC, Chen CS, Yeh SD (2008) Seasonal variations in urinary calculi attacks and their association with climate: a population based study. J Urol 179(2):564–569. https://doi.org/10.1016/j.juro.2007.09.067
Chi BH, Chang IH, Choi SY, Suh DC, Chang CW, Choi YJ, Lee SY (2017) Daily mean temperature and urolithiasis presentation in six cities in Korea: Time-Series Analysis. J Korean Med Sci 32(6):999–1008. https://doi.org/10.3346/jkms.2017.32.6.999
Cicerello E, Mangano MS, Cova G, Ciaccia M (2021) Changing in gender prevalence of nephrolithiasis. Urologia 88(2):90–93. https://doi.org/10.1177/0391560320966206
Drabiščák E, Dorko E, Vargovčák M, Velk Ľ, Rimárová K, Andraščíková Š, Knap V (2022) Analysis of potential risk factors associated with urolithiasis. Cent Eur J Public Health 30(Supplement):S37–S42. https://doi.org/10.21101/cejph.a6812
Fakheri RJ, Goldfarb DS (2009) Association of nephrolithiasis prevalence rates with ambient temperature in the United States: a re-analysis. Kidney Int 76(7):798. https://doi.org/10.1038/ki.2009.274
Fakheri RJ, Goldfarb DS (2011) Ambient temperature as a contributor to kidney stone formation: implications of global warming. Kidney Int 79(11):1178–1185. https://doi.org/10.1038/ki.2011.76
Fletcher BA, Lin S, Fitzgerald EF, Hwang SA (2012) Association of summer temperatures with hospital admissions for renal diseases in New York State: a case-crossover study. Am J Epidemiol 175(9):907–916. https://doi.org/10.1093/aje/kwr417
Gasparrini A, Armstrong B, Kenward MG (2010) Distributed lag non-linear models. Stat Med 29(21):2224–2234. https://doi.org/10.1002/sim.3940
Huang H, Li M, Fan H, Bai R (2021) Temporal trend of urolithiasis incidence in China: an age-period-cohort analysis. Int J Gen Med 14:2533–2539. https://doi.org/10.2147/ijgm.S313395
Johnson RJ, Sánchez-Lozada LG, Newman LS, Lanaspa MA, Diaz HF, Lemery J, Rodriguez-Iturbe B, Tolan DR, Butler-Dawson J, Sato Y, Garcia G, Hernando AA, Roncal-Jimenez CA (2019) Climate change and the kidney. Ann Nutr Metab 74(Suppl. 3):38–44. https://doi.org/10.1159/000500344
Laerum E (1983) Urolithiasis in general practice an epidemiological study from a Norwegian district. Scand J Urol Nephrol 17(3):313–319. https://doi.org/10.3109/00365598309182138
Lee YH, Huang WC, Tsai JY, Lu CM, Chen WC, Lee MH, Hsu HS, Huang JK, Chang LS (2002) Epidemiological studies on the prevalence of upper urinary calculi in Taiwan. Urol Int 68(3):172–177. https://doi.org/10.1159/000048445
Luo H, Turner LR, Hurst C, Mai H, Zhang Y, Tong S (2014) Exposure to ambient heat and urolithiasis among outdoor workers in Guangzhou, China. Sci Total Environ 472:1130–1136. https://doi.org/10.1016/j.scitotenv.2013.11.042
Mi H, Deng YL (2003) Epidemiological characteristics of urolithiasis in China. Chinese J Urol (10):66–67 (in Chinese)
Nowfar S, Palazzi-Churas K, Chang DC, Sur RL (2011) The relationship of obesity and gender prevalence changes in United States inpatient nephrolithiasis. Urology 78(5):1029–1033. https://doi.org/10.1016/j.urology.2011.04.011
Park HK, Bae SR, Kim SE, Choi WS, Paick SH, Ho K, Kim HG, Lho YS (2015) The effect of climate variability on urinary stone attacks: increased incidence associated with temperature over 18 degrees C: a population-based study. Urolithiasis 43(1):89–94. https://doi.org/10.1007/s00240-014-0741-5
Su X, Cheng Y, Wang Y, Liu Y, Li N, Li Y, Yao X (2019) Regional temperature-sensitive diseases and attributable fractions in China. Int J Environ Res Public Health 17(1):184. https://doi.org/10.3390/ijerph17010184
Tasian GE, Pulido JE, Gasparrini A, Saigal CS, Horton BP, Landis JR, Madison R, Keren R, Diseases Urologic, in America P (2014) Daily mean temperature and clinical kidney stone presentation in five US metropolitan areas: a time-series analysis. Environ Health Perspect 122(10):1081–1087. https://doi.org/10.1289/ehp.1307703
Tian Y, Liu H, Si Y, Cao Y, Song J, Li M, Wu Y, Wang X, Xiang X, Juan J, Chen L, Wei C, Gao P, Hu Y (2019) Association between temperature variability and daily hospital admissions for cause-specific cardiovascular disease in urban China: a national time-series study. PLoS Med 16(1):e1002738. https://doi.org/10.1371/journal.pmed.1002738
Vicedo-Cabrera AM, Goldfarb DS, Kopp RE, Song L, Tasian GE (2020) Sex differences in the temperature dependence of kidney stone presentations: a population-based aggregated case-crossover study. Urolithiasis 48(1):37–46. https://doi.org/10.1007/s00240-019-01129-x
Wu JP, Gu FL, Sun CX (1980) Urolithiasis in China. Chinese J Urol (01):1–3 (in Chinese)
Yang C, Chen X, Chen R, Cai J, Meng X, Wan Y, Kan H (2016) Daily ambient temperature and renal colic incidence in Guangzhou, China: a time-series analysis. Int J Biometeorol 60(8):1135–1142. https://doi.org/10.1007/s00484-015-1106-7
Yang J, Zhou M, Li M, Liu X, Yin P, Sun Q, Wang J, Wu H, Wang B, Liu Q (2018) Vulnerability to the impact of temperature variability on mortality in 31 major Chinese cities. Environ Pollut 239:631–637. https://doi.org/10.1016/j.envpol.2018.04.090
Yoshioka I, Tsujihata M, Momohara C, Akanae W, Nonomura N, Okuyama A (2010) Effect of sex hormones on crystal formation in a stone-forming rat model. Urology 75(4):907–913. https://doi.org/10.1016/j.urology.2009.09.094
Funding
The study was supported by the National Natural Science Foundation of China (42165012) and Ph.D. Start-up Fund of Gannan Medical University (QD202013). The first author was funded by the University’s Postgraduate scholarship of Gannan Medical University.
Author information
Authors and Affiliations
Contributions
Zhijin Li performed software code, performed formal analysis, and wrote the original draft of the manuscript. Chenyang Shi performed data cleaning and materials gathering. Runxiu Wang and Xiaoning Wang assisted in data collection, gave guidance and constructive suggestions. Yanbin Hao contributed to conceptualization, wrote, reviewed, edited the manuscript, and was responsible for fund acquisition.
Corresponding author
Ethics declarations
Ethics approval
This article did not contain any studies with human participants performed by any of the authors. This study passed the ethical review of the Biomedical Research Ethics Committee of Gannan Medical University (No. 2021107).
Conflict of interest
The authors declare no competing interests.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Li, Z., Shi, C., Wang, X. et al. Association between daily temperature and hospital admissions for urolithiasis in Ganzhou, China: a time-series analysis. Int J Biometeorol 67, 47–54 (2023). https://doi.org/10.1007/s00484-022-02383-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00484-022-02383-2