The relationship of short-term exposure to meteorological factors on diabetes mellitus mortality risk in Hefei, China: a time series analysis

被引:0
|
作者
Wu, Hanqing [1 ,2 ]
Zhang, Xu [1 ,2 ]
Zhang, Tao [1 ,2 ]
Li, Guoqing [1 ,3 ]
Xu, Longbao [1 ,3 ]
Li, Ziqi [1 ,3 ]
Ren, Yuxin [1 ,3 ]
Zhao, Yanyu [1 ,3 ]
Pan, Faming [1 ,2 ]
机构
[1] Anhui Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, 81 Meishan Rd, Hefei 230032, Anhui, Peoples R China
[2] Anhui Med Univ, Inflammat & Immune Mediated Dis Lab Anhui Prov, 81 Meishan Rd, Hefei 230032, Anhui, Peoples R China
[3] Anhui Med Univ, Dept Hosp Management Res, Affiliated Hosp 1, Hefei 230022, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Diabetes mellitus; Meteorological factors; Short-term exposure; Time series analysis; DIURNAL TEMPERATURE-RANGE; AMBIENT-TEMPERATURE; HOSPITAL ADMISSIONS; AIR-POLLUTION; BLOOD-FLOW; IMPACT; STRESS;
D O I
10.1007/s00420-024-02102-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectivesThe study aims to explore whether short-term exposure to meteorological factors has a potential association with the risk of diabetes mellitus (DM) mortality.MethodsDuring the period 2015-2018, we collected daily data on meteorological factors and deaths of diabetic patients in Hefei. A total of 1101 diabetic deaths were recorded. We used structural equation modeling to initially explore the relationships among air pollutants, meteorological variables, and mortality, and generalized additive modeling (GAM) and distributional lag nonlinear modeling (DLNM) to explore the relationship between meteorological factors and the mortality risk of DM patients. We also stratified by age and gender. The mortality risk in diabetic patients was expressed by relative risks (RR) and 95% confidence intervals (CI) for both single and cumulative days.ResultsSingle-day lagged results showed a high relative humidity (RH) (75th percentile, 83.71%), a fairly high average temperature (T mean) (95th percentile, 30.32 degrees C), and an extremely low diurnal temperature range (DTR) (5th percentile, 3.13 degrees C) were positively related to the mortality risk of DM. Stratified results showed that high and very high levels of T mean were significantly positively linked to the mortality risk of DM among females and the elderly, while very high levels of DTR were linked to the mortality risk in men and younger populations.ConclusionIn conclusion, this study found that short-duration exposure to quite high T mean, high RH, and very low DTR were significantly positively related to the mortality risk of DM patients. For women and older individuals, exposure to high and very high T mean environments should be minimized. Men and young adults should be aware of daily temperature changes.
引用
收藏
页码:991 / 1005
页数:15
相关论文
共 50 条
  • [21] A spatially disaggregated time-series analysis of the short-term effects of particulate matter exposure on mortality in Chennai, India
    Balakrishnan, Kalpana
    Ganguli, Bhaswati
    Ghosh, Santu
    Sambandam, Sankar
    Sen Roy, Sugata
    Chatterjee, Aditya
    AIR QUALITY ATMOSPHERE AND HEALTH, 2013, 6 (01) : 111 - 121
  • [22] Short-term effect of ambient temperature and ambient temperature changes on the risk of warts outpatient visits in Hefei, China: a retrospective time-series study
    Liu, Bo
    Fang, Xin-Yu
    Yan, Yu-Lu
    Wu, Jun
    Lv, Xiao-Jie
    Zhang, Jie
    Qi, Liang-Wei
    Qian, Ting-Ting
    Cai, Yu-Yu
    Fan, Yin-Guang
    Ye, Dong-Qing
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (07) : 19342 - 19355
  • [23] Association between short-term exposure to ambient air pollution and daily mortality: a time-series study in Eastern China
    Die Li
    Jian-bing Wang
    Zhen-yu Zhang
    Peng Shen
    Pei-wen Zheng
    Ming-juan Jin
    Huai-chu Lu
    Hong-bo Lin
    Kun Chen
    Environmental Science and Pollution Research, 2018, 25 : 16135 - 16143
  • [24] Short-term Exposure to Air Pollution and Attributable Risk of Kidney Diseases A Nationwide Time-series Study
    Lee, Whanhee
    Prifti, Kristi
    Kim, Ho
    Kim, Ejin
    Yang, Juyeon
    Min, Jieun
    Park, Jae Yoon
    Kim, Yong Chul
    Lee, Jung Pyo
    Bell, Michelle L.
    EPIDEMIOLOGY, 2022, 33 (01) : 17 - 24
  • [25] Short-term association of CO and NO2 with hospital visits for glomerulonephritis in Hefei, China: a time series study
    Chen, Haifeng
    Duan, Qiong
    Zhu, Huahui
    Wan, Shuai
    Zhao, Xinyi
    Ye, Dongqing
    Fang, Xinyu
    FRONTIERS IN PUBLIC HEALTH, 2023, 11
  • [26] Short-Term Effects of Air Pollution on the Risk of Influenza in Jinan, China during 2020-2021: A Time-Series Analysis
    Chen, Fangfang
    Liu, Zhong
    Huang, Ting
    Wang, Baoyu
    Sun, Zhan
    Gao, Xibao
    Wang, Weiru
    ATMOSPHERE, 2023, 14 (01)
  • [27] The interactive effects between high temperature and air pollution on mortality: A time-series analysis in Hefei, China
    Qin, Rennie Xinrui
    Xiao, Changchun
    Zhu, Yibin
    Li, Jing
    Yang, Jun
    Gu, Shaohua
    Xia, Junrui
    Su, Bin
    Liu, Qiyong
    Woodward, Alistair
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 575 : 1530 - 1537
  • [28] Short-term effect of meteorological factors on COVID-19 mortality in Qom, Iran
    Vahedian, Mostafa
    Sharafkhani, Rahim
    Pournia, Yadollah
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH, 2023, 33 (12) : 1515 - 1524
  • [29] Short-term effects of multiple outdoor environmental factors on risk of asthma exacerbations: Age-stratified time-series analysis
    Lee, Seung Won
    Yon, Dong Keon
    James, Chase C.
    Lee, Shinhae
    Koh, Hyun Yong
    Sheen, Youn Ho
    Oh, Jae-Won
    Han, Man Yong
    Sugihara, George
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2019, 144 (06) : 1542 - +
  • [30] Impact of short-term exposure to extreme temperatures on diabetes mellitus morbidity and mortality? A systematic review and meta-analysis
    Xuping Song
    Liangzhen Jiang
    Dongdong Zhang
    Xinyi Wang
    Yan Ma
    Yue Hu
    Jing Tang
    Xiayang Li
    Wenqiang Huang
    Yuan Meng
    Anchen Shi
    Yan Feng
    Yan Zhang
    Environmental Science and Pollution Research, 2021, 28 : 58035 - 58049