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Jin J, Meng X, Wang D, Han B, Wu T, Xie J, Zhang Q, Xie D, Zhang Z. Association between ambient temperature and cardiovascular diseases related hospital admissions in Lanzhou, China. Heliyon 2023; 9:e12997. [PMID: 36747948 PMCID: PMC9898685 DOI: 10.1016/j.heliyon.2023.e12997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 01/04/2023] [Accepted: 01/11/2023] [Indexed: 01/19/2023] Open
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide, ranking first in the global disease burden. Evidence on association between temperature and cardiovascular disease is insufficient and inconsistent in developing countries. In this study, a distributed lag nonlinear model (DLNM) was used to determine the association between daily mean temperature and cardiovascular diseases (CVD) related admission in Lanzhou 2015-2019. We included 41,389 patients with CVD in this study. The relative risk (RR) of CVD admission increased significantly with temperature in lag 5-10 days, and we found harvesting effect of temperature in the study, shown as decreased RR in lag 15-30 days. The maximum RR was 1.15 (95% confidence interval [CI]: 1.03-1.30), corresponding to 24 °C. Both cold and heat effects of temperature could impact the CVD admission. Compared with the 25th percentile of temperature (2 °C), the cumulative relative risk (cumRR) of extreme cold (-5 °C, the 2.5th percentile of the temperature) was 0.69 (95% CI: 0.51-0.94) in lag 0-14, whereas the cumRR of moderate cold (-2 °C, the 10th percentile) was 0.83 (95% CI:0.71-0.97). Compared with the 75th percentile of temperature (20-°C), the cumRR of extreme heat (27 °C, the 97.5th percentile) was 0.93 (95% CI: 0.78-1.10) in lag 0, whereas the cumRR of moderate heat (24 °C, the 90th percentile) was 1.01 (95% CI: 0.94-1.08). In the stratified analysis, cold decreased RR significantly in female and ≥65 years, whereas heat increased it more obviously in male and ≥65 years. Ambient temperature and CVD admissions were positively associated, with the harvesting effect. Our findings demonstrate the adaption of residents in Lanzhou to cold temperature. Public and environmental policies and measures aimed at moderate heat may minimize CVD burden effectively.
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Affiliation(s)
- Jianjian Jin
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Xiaoxue Meng
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
- Heart Center, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Cardiovascular Disease of Gansu Province, Lanzhou, China
- Cardiovascular Clinical Research Center of Gansu Province, China
| | - Dongmei Wang
- Department of Cardiology, Zhang Ye People's Hospital Affiliated to Hexi University, Zhangye, China
| | - Bing Han
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
- Heart Center, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Cardiovascular Disease of Gansu Province, Lanzhou, China
- Cardiovascular Clinical Research Center of Gansu Province, China
| | - Tingting Wu
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Jing Xie
- Department of Ultrasound Medicine, Lanzhou First People's Hospital, Lanzhou, China
| | - Qi Zhang
- Department of Geriatrics, Gansu Provincial People's Hospital, Lanzhou, China
| | - Dingxiong Xie
- Gansu Provincial Institute of Cardiovascular Diseases, Lanzhou, China
- The Second Clinical Medical School, Gansu University of Traditional Chinese Medicine, Lanzhou, China
| | - Zheng Zhang
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
- Heart Center, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory for Cardiovascular Disease of Gansu Province, Lanzhou, China
- Cardiovascular Clinical Research Center of Gansu Province, China
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Nia HS, Gorgulu O, Naghavi N, Froelicher ES, Fomani FK, Goudarzian AH, Sharif SP, Pourkia R, Haghdoost AA. Correction: A time-series prediction model of acute myocardial infarction in northern of Iran: the risk of climate change and religious mourning. BMC Cardiovasc Disord 2022; 22:243. [PMID: 35619079 PMCID: PMC9137121 DOI: 10.1186/s12872-022-02682-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Affiliation(s)
- Hamid Sharif Nia
- Cardiovascular Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Ozkan Gorgulu
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Ahi Evran University, Kırşehir, Turkey
| | - Navaz Naghavi
- Faculty of Business and Law, Taylor's University, Subang Jaya, Selangor, Malaysia
| | - Erika Sivarajan Froelicher
- Department of Physiological Nursing, School of Nursing, University of California Sand Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, School of Medicine, University of California Sand Francisco, San Francisco, CA, USA
| | | | | | | | - Roghiyeh Pourkia
- Department of Cardiology, Cardiovascular Research Center, Babol University of Medical Sciences, Babol, Iran
| | - Ali Akbar Haghdoost
- Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
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