Association between non-optimal temperature and hospitalizations for gout in Anqing, China: a time-series analysis

被引:6
|
作者
He, Yi-Sheng [1 ,2 ]
Wang, Gui-Hong [3 ]
Wu, Zheng-Dong [1 ,2 ]
Sam, Napoleon Bellua [4 ]
Chen, Yue [1 ,2 ]
Tao, Jin-Hui [5 ]
Fang, Xin-Yu [1 ,2 ]
Xu, Zhiwei [6 ]
Pan, Hai-Feng [1 ,2 ]
机构
[1] Anhui Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, 81 Meishan Rd, Hefei, Anhui, Peoples R China
[2] Inflammat & Immune Mediated Dis Lab Anhui Prov, 81 Meishan Rd, Hefei, Anhui, Peoples R China
[3] Anhui Med Univ, Anqing Hosp, Dept Rheumatol, Anqing, Anhui, Peoples R China
[4] Univ Dev Studies, Sch Med, Dept Med Res & Innovat, Tamale, Ghana
[5] Univ Sci & Technol China, USTC, Affiliated Hosp 1, Dept Rheumatol & Immunol,Div Life Sci & Med, Hefei, Peoples R China
[6] Univ Queensland, Fac Med, Sch Publ Hlth, Brisbane, Qld, Australia
关键词
Gout; High temperature; Diurnal temperature range; Temperature change between neighboring days; RISK; PREVALENCE; MORTALITY; IMPACTS; WEATHER; COLD;
D O I
10.1007/s11356-021-16580-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Previous studies have found that non-optimal temperature influences the development of gout, but the results have been inconsistent. The present study aimed to explore the effects of high temperature and high temperature variation on hospitalizations for gout in Anqing, China. We collected daily data on air pollutants, meteorological factors, and hospitalizations for gout between 1January 2016 and 31 December 2020 in Anqing City, China. We used Poisson generalized linear regression model and a distributed lag non-linear model (DLNM) to explore the relationship of high temperature, diurnal temperature range (DTR), and temperature change between neighboring days (TCN) with hospitalizations for gout. Stratified analysis by gender (male, female) and age (<65 years, >= 65 years) was conducted. Hospitalizations for gout attributed to high temperature, high DTR, and high TCN were also quantified. A total of 8675 hospitalized patients with gout were reported during the study period. We observed that exposure to high temperature was linked with an increased risk of hospitalizations for gout (lag 0, RR: 1.081, 95% confidence interval (CI): 1.011, 1.155). Exposure to high DTR was also associated with increased risk of hospitalizations for gout (lag9, RR: 1.017, 95% CI: 1.001,1.035). A large drop in temperature between neighboring days was associated an increased risk of hospitalizations for gout (lag 0-2 days, RR: 1.234, 95% CI: 1.017, 1.493). Stratified analysis results revealed that older adults and men were more sensitive to high-level DTR exposure than their counterparts. Nearly 15% of hospitalizations for gout could be attributable to high temperature (attributable fraction: 14.93%, 95% CI: 5.99%, 22.11%). This study suggests that high temperature and high temperature variation may trigger hospitalizations for gout, indicating that patients with gout need to take proactive actions in the face of days with non-optimal temperature.
引用
收藏
页码:13797 / 13804
页数:8
相关论文
共 50 条
  • [1] Association between non-optimal temperature and hospitalizations for gout in Anqing, China: a time-series analysis
    Yi-Sheng He
    Gui-Hong Wang
    Zheng-Dong Wu
    Napoleon Bellua Sam
    Yue Chen
    Jin-Hui Tao
    Xin-Yu Fang
    Zhiwei Xu
    Hai-Feng Pan
    Environmental Science and Pollution Research, 2022, 29 : 13797 - 13804
  • [2] Association between fine particulate matter and heart failure hospitalizations: a time-series analysis in Yancheng, China
    Xu Li
    Hongyi Cheng
    Yan Fang
    Zhichao Chen
    Guangyu Qi
    Renjie Chen
    Haidong Kan
    Cong Liu
    Jingyan Cao
    Environmental Science and Pollution Research, 2021, 28 : 26906 - 26912
  • [3] Association between fine particulate matter and heart failure hospitalizations: a time-series analysis in Yancheng, China
    Li, Xu
    Cheng, Hongyi
    Fang, Yan
    Chen, Zhichao
    Qi, Guangyu
    Chen, Renjie
    Kan, Haidong
    Liu, Cong
    Cao, Jingyan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (21) : 26906 - 26912
  • [4] Association between daily temperature and hospital admissions for urolithiasis in Ganzhou, China: a time-series analysis
    Li, Zhijin
    Shi, Chenyang
    Wang, Xiaoning
    Wang, Runxiu
    Hao, Yanbin
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2023, 67 (01) : 47 - 54
  • [5] Association between daily temperature and hospital admissions for urolithiasis in Ganzhou, China: a time-series analysis
    Zhijin Li
    Chenyang Shi
    Xiaoning Wang
    Runxiu Wang
    Yanbin Hao
    International Journal of Biometeorology, 2023, 67 : 47 - 54
  • [6] The association between ambient temperature and mortality in South Africa: A time-series analysis
    Scovronick, Noah
    Sera, Francesco
    Acquaotta, Fiorella
    Garzena, Diego
    Fratianni, Simona
    Wright, Caradee Y.
    Gasparrini, Antonio
    ENVIRONMENTAL RESEARCH, 2018, 161 : 229 - 235
  • [7] Temperature might increase the hospital admission risk for rheumatoid arthritis patients in Anqing, China: a time-series study
    Huang, Li-Juan
    Zha, Jun-Jing
    Cao, Nv-Wei
    Zhou, Hao-Yue
    Chu, Xiu-Jie
    Wang, Hua
    Li, Xian-Bao
    Li, Bao-Zhu
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2022, 66 (01) : 201 - 211
  • [8] Temperature might increase the hospital admission risk for rheumatoid arthritis patients in Anqing, China: a time-series study
    Li-Juan Huang
    Jun-Jing Zha
    Nv-Wei Cao
    Hao-Yue Zhou
    Xiu-Jie Chu
    Hua Wang
    Xian-Bao Li
    Bao-Zhu Li
    International Journal of Biometeorology, 2022, 66 : 201 - 211
  • [9] Association between air pollution and cardiovascular mortality in Hefei, China: A time-series analysis
    Zhang, Chao
    Ding, Rui
    Xiao, Changchun
    Xu, Yachun
    Cheng, Han
    Zhu, Furong
    Lei, Ruoqian
    Di, Dongsheng
    Zhao, Qihong
    Cao, Jiyu
    ENVIRONMENTAL POLLUTION, 2017, 229 : 790 - 797
  • [10] The association between apparent temperature and psoriasis outpatient visits: a time-series study in Hefei, China
    Sun, Haoxiang
    Wang, XiaoSong
    Zhang, Xiaoyu
    Wang, Linlin
    Zou, Yanfeng
    Hu, Huaqing
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2023, 5 (03):