干旱区生态环境知识资源中心(Arid): Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China

Arid

DOI	10.1007/s11356-021-17102-4
	Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China
	Li, Yanlin; Wang, Bo; Wang, Shunxia; Xu, Shenggang; Li, Sheng; He, Hupeng; Niu, Jingping; Luo, Bin
通讯作者	Luo, B (corresponding author)，Lanzhou Univ, Sch Publ Hlth, Inst Occupat Hlth & Environm Hlth, Lanzhou 730000, Peoples R China. ; Luo, B (corresponding author)，Shanghai Meteorol Bur, Shanghai Key Lab Meteorol & Hlth, Shanghai 200030, Peoples R China. ; Luo, B (corresponding author)，China Meteorol Adm, Shanghai Typhoon Inst, Shanghai 200030, Peoples R China.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2022-01
英文摘要	Climate has received an increasing attention due to its adverse effects on human health, but the effects on the urinary system are still short of enough evidence. Therefore, we carry out this study to analyze the relationship between meteorological factors and urinary system health in arid areas of western China. In this study, the daily numbers of outpatients with the urinary system diseases from multiple hospitals in three cities in Gansu province (Lanzhou, Zhangye, and Tianshui city) were collected and used for analysis. The distributed lag non-linear models (DLNM) with a quasi-Poisson distribution were used to estimate the associations between meteorological factors and daily outpatients for urinary system diseases in these three cities, and then a multivariate meta-analysis was applied to pool the estimates of city-specific effects. We found that the ambient temperature (AT) and relative humidity (RH) were significantly associated with the outpatient visits of urinary system diseases. The effects of meteorological factors on outpatients with urinary system diseases for both males and females were statistically significant at different lag days. The higher AT and lower RH were associated with the higher risk of urinary system diseases. We also observed substantial lag effects of meteorological factors on outpatients for both males and females. Among all disease types, renal tubule-interstitial diseases had the strongest relationships with meteorological factors. Our results indicate that the higher AT and lower RH may increase the outpatient visits for urinary system diseases, with significant lag effects in semi-arid areas.
英文关键词	Meteorological factors Ambient temperature Diurnal temperature range Relative humidity Urinary system diseases DLNM Outpatient visits
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000739288200003
WOS关键词	HOSPITAL ADMISSIONS ; KIDNEY-DISEASE ; CLIMATE-CHANGE ; RANGE ; MORTALITY ; REHYDRATION ; ASSOCIATION ; STROKE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377170
作者单位	[Li, Yanlin; Wang, Bo; Niu, Jingping; Luo, Bin] Lanzhou Univ, Sch Publ Hlth, Inst Occupat Hlth & Environm Hlth, Lanzhou 730000, Peoples R China; [Wang, Shunxia] First Hosp Tianshui, Dept Gen Med, Tianshui 741000, Gansu, Peoples R China; [Xu, Shenggang] Hexi Univ, Med Coll, Zhangye 734000, Gansu, Peoples R China; [Li, Sheng] First Peoples Hosp Lanzhou, Lanzhou 730050, Gansu, Peoples R China; [He, Hupeng] Gansu Prov Ctr Dis Prevent & Control, Lanzhou 730000, Gansu, Peoples R China; [Luo, Bin] Shanghai Meteorol Bur, Shanghai Key Lab Meteorol & Hlth, Shanghai 200030, Peoples R China; [Luo, Bin] China Meteorol Adm, Shanghai Typhoon Inst, Shanghai 200030, Peoples R China
推荐引用方式 GB/T 7714	Li, Yanlin,Wang, Bo,Wang, Shunxia,et al. Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China[J],2022.
APA	Li, Yanlin.,Wang, Bo.,Wang, Shunxia.,Xu, Shenggang.,Li, Sheng.,...&Luo, Bin.(2022).Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Li, Yanlin,et al."Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022).