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Duan S, Wang R, He P, Sun J, Yang H. Associations between multiple urinary metals and the risk of hypertension in community-dwelling older adults. Environ Sci Pollut Res Int 2023:10.1007/s11356-023-27797-2. [PMID: 37233942 DOI: 10.1007/s11356-023-27797-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/17/2023] [Indexed: 05/27/2023]
Abstract
Although metal exposure has been associated with hypertension, the conclusions remain controversial, and studies investigating the predictive effect of multiple metals on hypertension are limited. In this study, we aimed to evaluate the nonlinear dose-response relationship between a single urinary metal and the risk of hypertension, and to assess the predictive effect of multiple urinary metals on hypertension. Of the Yinchuan community-dwelling elderly cohort launched in 2020, 3,733 participants (803 with hypertension and 2,930 without hypertension) were analysed in this study, and the concentrations of 13 metal elements in urine were measured. We found that urinary vanadium (odds ratio (OR): 1.16, 95% confidence interval [CI]: 1.08-1.25), molybdenum (OR: 1.08, 95% CI: 1.01-1.16), and tellurium (OR: 1.14, 95% CI: 1.06-1.22) were associated with higher risk of hypertension, whereas iron (OR: 0.92, 95% CI: 0.85-0.98) and strontium (0.92, 95% CI: 0.85-0.99) were significantly associated with lower risk of hypertension. Restricted cubic splines analysis was conducted in patients with iron concentrations of ≥ 15.48 μg/g and ≤ 399.41 μg/g and a strontium concentration of ≤ 69.41 μg/g, results showed that the risk of hypertension decreased gradually as the urinary concentrations of these metals increased. With an increase in the vanadium concentration in urine, the risk of hypertension gradually increased. In patients with a molybdenum concentration of ≥ 56.82 μg/g and a tellurium concentration of ≥ 21.98 μg/g, the risk of hypertension gradually decreased as the urinary concentrations of these metals increased. Predictive scores based on the 13 metallic elements were significantly associated with a higher risk of hypertension (OR: 1.34 (95% CI: 1.25-1.45). After additionally including urinary metal concentrations as a parameter variable in the traditional hypertension risk assessment model, integrated discrimination and net reclassification increased by 8.00% (P < 0.001) and 2.41% (P < 0.001), respectively. Urinary vanadium, Mo, and Te concentrations were associated with a higher risk of hypertension, while iron and strontium concentrations were associated with a lower risk of hypertension. Multiple urinary metal concentrations can significantly improve the predictive ability of traditional hypertension risk-assessment models.
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Affiliation(s)
- Siyu Duan
- School of Public Healthy and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, 750004, People's Republic of China
| | - Rui Wang
- School of Public Healthy and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, 750004, People's Republic of China
| | - Pei He
- School of Public Healthy and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, 750004, People's Republic of China
| | - Jian Sun
- School of Public Healthy and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, 750004, People's Republic of China
| | - Huifang Yang
- School of Public Healthy and Management, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, 750004, People's Republic of China.
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Zha WT, Li WT, Zhou N, Zhu JJ, Feng R, Li T, Du YB, Liu Y, Hong XQ, Lv Y. Effects of meteorological factors on the incidence of mumps and models for prediction, China. BMC Infect Dis 2020; 20:468. [PMID: 32615923 PMCID: PMC7331163 DOI: 10.1186/s12879-020-05180-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 06/19/2020] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Mumps is an acute respiratory infectious disease with obvious regional and seasonal differences. Exploring the impact of climate factors on the incidence of mumps and predicting its incidence trend on this basis could effectively control the outbreak and epidemic of mumps. METHODS Considering the great differences of climate in the vast territory of China, this study divided the Chinese mainland into seven regions according to the administrative planning criteria, data of Mumps were collected from the China Disease Prevention and Control Information System, ARIMA model and ARIMAX model with meteorological factors were established to predict the incidence of mumps. RESULTS In this study, we found that precipitation, air pressure, temperature, and wind speed had an impact on the incidence of mumps in most regions of China and the incidence of mumps in the north and southwest China was more susceptible to climate factors. Considering meteorological factors, the average relative error of ARIMAX model was 10.87%, which was lower than ARIMA model (15.57%). CONCLUSIONS Meteorology factors were the important factors which can affect the incidence of mumps, ARIMAX model with meteorological factors could better simulate and predict the incidence of mumps in China, which has certain reference value for the prevention and control of mumps.
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Affiliation(s)
- Wen-Ting Zha
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Wei-Tong Li
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Nan Zhou
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Jia-Jia Zhu
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Ruihua Feng
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Tong Li
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Yan-Bing Du
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Ying Liu
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Xiu-Qin Hong
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081
| | - Yuan Lv
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, People's Republic of China, 410081.
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