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Ning Z, He S, Liao X, Ma C, Wu J. Health impacts of a cold wave and its economic loss assessment in China's high-altitude city, Xining. Arch Public Health 2024; 82:52. [PMID: 38632636 PMCID: PMC11025205 DOI: 10.1186/s13690-024-01284-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/06/2024] [Indexed: 04/19/2024] Open
Abstract
OBJECTIVE Amidst climate change, extensive research has centered on the health impacts of heatwaves, yet the consequences of cold spells, particularly in cooler, higher-altitude regions, remain under-explored. METHODS Analyzing climatic data and non-accidental mortality in Xining, China's second-highest provincial capital, from 2016 to 2020, this study defines cold spells as daily mean temperatures below the 10th, 7.5th, or 5th percentiles for 2-4 consecutive days. A time-stratified case-crossover approach and distributional lag nonlinear modeling were used to assess the link between cold spells and mortality, calculating attributable fractions (AFs) and numbers (ANs) of deaths. The study also examined the impact of cold spells over different periods and analyzed the value of a statistical life (VSL) loss in 2018, a year with frequent cold spells. Stratified analyses by sex, age, and education level were conducted. RESULTS A significant association was found between cold spells and non-accidental mortality, with a relative risk of 1.548 (95% CI: 1.300, 1.845). The AF was 33.48%, with an AN of 9,196 deaths during the study's cold period. A declining trend in mortality risk was observed from 2019-2020. The 2018 VSL was approximately 2.875 billion CNY, about 1.75% of Xining's GDP. Higher risks were noted among males, individuals aged ≥ 65, and those with lower education levels. CONCLUSION The findings underscore the vulnerability and economic losses of high-altitude cities to cold spells. Implementing interventions such as improved heating, educational programs, and community support is vital for mitigating these adverse health effects.
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Affiliation(s)
- Zhenxu Ning
- Department of Public Health, Faculty of Medicine, Qinghai University, Xining, China
| | - Shuzhen He
- Department of Public Health, Xining Centre for Disease Control and Prevention, Xining, China.
| | - Xinghao Liao
- Department of Public Health, Faculty of Medicine, Qinghai University, Xining, China
| | - Chunguang Ma
- Xining Centre for Disease Control and Prevention, Xining, China
| | - Jing Wu
- Xining Centre for Disease Control and Prevention, Xining, China
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Xia Y, Shi C, Li Y, Ruan S, Jiang X, Huang W, Chen Y, Gao X, Xue R, Li M, Sun H, Peng X, Xiang R, Chen J, Zhang L. Association between temperature and mortality: a multi-city time series study in Sichuan Basin, southwest China. Environ Health Prev Med 2024; 29:1. [PMID: 38220147 PMCID: PMC10788187 DOI: 10.1265/ehpm.23-00118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/30/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND There are few multi-city studies on the association between temperature and mortality in basin climates. This study was based on the Sichuan Basin in southwest China to assess the association of basin temperature with non-accidental mortality in the population and with the temperature-related mortality burden. METHODS Daily mortality data, meteorological and air pollution data were collected for four cities in the Sichuan Basin of southwest China. We used a two-stage time-series analysis to quantify the association between temperature and non-accidental mortality in each city, and a multivariate meta-analysis was performed to obtain the overall cumulative risk. The attributable fractions (AFs) were calculated to access the mortality burden attributable to non-optimal temperature. Additionally, we performed a stratified analyses by gender, age group, education level, and marital status. RESULTS A total of 751,930 non-accidental deaths were collected in our study. Overall, 10.16% of non-accidental deaths could be attributed to non-optimal temperatures. A majority of temperature-related non-accidental deaths were caused by low temperature, accounting for 9.10% (95% eCI: 5.50%, 12.19%), and heat effects accounted for only 1.06% (95% eCI: 0.76%, 1.33%). The mortality burden attributable to non-optimal temperatures was higher among those under 65 years old, females, those with a low education level, and those with an alternative marriage status. CONCLUSIONS Our study suggested that a significant association between non-optimal temperature and non-accidental mortality. Those under 65 years old, females, and those with a low educational level or alternative marriage status had the highest attributable burden.
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Affiliation(s)
- Yizhang Xia
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
- Zigong Center for Disease Control and Prevention, No. 826, Huichuan Road, Ziliujing District, Zigong 643000, China
- School of Public Health, Chengdu Medical College, No. 783, Xindu Road, Xindu District, Chengdu 610500, China
| | - Chunli Shi
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Yang Li
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Shijuan Ruan
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Xianyan Jiang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Wei Huang
- Zigong Center for Disease Control and Prevention, No. 826, Huichuan Road, Ziliujing District, Zigong 643000, China
| | - Yu Chen
- School of Public Health, Chengdu Medical College, No. 783, Xindu Road, Xindu District, Chengdu 610500, China
| | - Xufang Gao
- Chengdu Center for Disease Control and Prevention, No. 6, Longxiang Road, Wuhou District, Chengdu 610041, China
| | - Rong Xue
- Guangyuan Center for Disease Control and Prevention, No. 996, Binhebei Road, Lizhou District, Guangyuan 628017, China
| | - Mingjiang Li
- Panzhi hua Center for Disease Control and Prevention, No. 996, Jichang Road, Dong District, Panzhi hua 617067, China
| | - Hongying Sun
- Mianyang Center for Disease Control and Prevention, No. 50, Mianxingdong Road, Gaoxin District, Mianyang 621000, China
| | - Xiaojuan Peng
- Yaan Center for Disease Control and Prevention, No. 9, Fangcao Road, Yucheng District, Yaan 625000, China
| | - Renqiang Xiang
- Fucheng Center for Disease Control and Prevention, No. 116, Changhong Road, Fucheng District, Mianyang 621000, China
| | - Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
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Gao C, Yao X, Wang X, Li Z, Wang Y, Xu X, Li L, Zhang X, Fang X. Effects of air pollutants and temperature on the number of asthma outpatient visits in Hohhot, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:183-190. [PMID: 36288535 DOI: 10.1080/09603123.2022.2136364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Although numerous studies have linked asthma to air temperature and pollution, few studies have examined their interactive effects on asthma outpatient visits. This study investigated how air pollutants and their interactions with temperature affect asthma outpatient visits in a city in northern Chinaduring the time period 2018 - 2020 . . As the results, 24,163 asthma outpatients were recorded, a 10-μg/m3 increase in PM10, PM2.5, SO2, and NO2 concentrations was associated with significant increases in visits of 3.47% (95% CI: 2.35%-4.60%), 0.83% (95% CI: 0.36%-1.30%), 3.17% (95% CI: 1.47%-4.90%), and 8.90% (95% CI: 6.09%-11.79%), respectively. The effect was stronger in females than males, and stronger in the elderly (≥65 years) than among the young. The interaction between low temperatures and high air pollution levels significantly increased the number of asthma outpatient visits. This study emphasizesthe importance of reducing air pollution in order to lessen the effects of cold.
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Affiliation(s)
- Chenghua Gao
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Xing Yao
- Outpatient Department of Medical Department, Inner Mongolia People's Hospital, Hohhot, Inner Mongolia, China
| | - Xue Wang
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Zichao Li
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Yaping Wang
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Xiaoqian Xu
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Lehui Li
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Xingguang Zhang
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Xin Fang
- Public Health College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
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Temperature, cardiovascular mortality, and the role of hypertension and renin-angiotensin-aldosterone axis in seasonal adversity: a narrative review. J Hum Hypertens 2022; 36:1035-1047. [PMID: 35618875 DOI: 10.1038/s41371-022-00707-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 04/25/2022] [Accepted: 05/12/2022] [Indexed: 12/14/2022]
Abstract
Environmental temperature is now well known to have a U-shaped relationship with cardiovascular (CV) and all-cause mortality. Both heat and cold above and below an optimum temperature, respectively, are associated with adverse outcomes. However, cold in general and moderate cold specifically is predominantly responsible for much of temperature-attributable adversity. Importantly, hypertension-the most important CV risk factor-has seasonal variation such that BP is significantly higher in winter. Besides worsening BP control in established hypertensives, cold-induced BP increase also contributes to long-term BP variability among normotensive and pre-hypertensive patients, also a known CV risk factor. Disappointingly, despite the now well-stablished impact of temperature on BP and on CV mortality separately, direct linkage between seasonal BP change and CV outcomes remains preliminary. Proving or disproving this link is of immense clinical and public health importance because if seasonal BP variation contributes to seasonal adversity, this should be a modifiable risk. Mechanistically, existing evidence strongly suggests a central role of the sympathetic nervous system (SNS), and secondarily, the renin-angiotensin-aldosterone axis (RAAS) in mediating cold-induced BP increase. Though numerous other inflammatory, metabolic, and vascular perturbations likely also contribute, these may also well be secondary to cold-induced SNS/RAAS activation. This review aims to summarize the current evidence linking temperature, BP and CV outcomes. We also examine underlying mechanisms especially in regard to the SNS/RAAS axis, and highlight possible mitigation measures for clinicians.
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Guo J, Hu H, Chen Z, Xu J, Nie J, Lu J, Ma L, Ji H, Yuan J, Xu B. Cold Exposure Induces Intestinal Barrier Damage and Endoplasmic Reticulum Stress in the Colon via the SIRT1/Nrf2 Signaling Pathway. Front Physiol 2022; 13:822348. [PMID: 35514335 PMCID: PMC9065603 DOI: 10.3389/fphys.2022.822348] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Ambient air temperature is a key factor affecting human health. Long-term exposure to a cold environment can cause various diseases, while the impact on the intestine, the organ which has the largest contact area with the external environment, cannot be ignored. In this study, we investigated the effect of chronic cold exposure on the colon and its preliminary mechanism of action. Mice were exposed to 4°C for 3 hours a day for 10 days. We found that cold exposure damaged the morphology and structure of the colon, destroyed the tight junctions of the colonic epithelial tissue, and promoted inflammation of the colon. At the same time, cold exposure also activated the unfolded protein response (UPR) in the colon and promoted apoptosis in intestinal epithelial cells. Chronic cold exposure induced oxidative stress in vivo, but also significantly enhanced the response of the Nrf2 pathway that promotes an anti-oxidant effect. Furthermore, we demonstrated that chronic cold exposure promoted p65 acetylation to aggravate the inflammatory response by inhibiting SIRT1. Similar results were observed following SIRT1 knock-down by shRNA in Caco-2 cells treated with Thapsigargin (Tg). Knock-down of SIRT1 promoted nuclear localization of Nrf2, and increased the level of Nrf2 acetylation. Taken together, our study indicates that cold exposure may aggravate endoplasmic reticulum stress and damage epithelial tight junctions in the colon by inhibiting SIRT1, which promotes nuclear localization of Nrf2 and induces an anti-oxidant response to maintain intestinal homeostasis. These findings suggest that SIRT1 is a potential target for regulating intestinal health under cold exposure conditions.
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Affiliation(s)
- Jingru Guo
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Huijie Hu
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Zhuo Chen
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jing Xu
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Junshu Nie
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jingjing Lu
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Li Ma
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Hong Ji
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jianbin Yuan
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Bin Xu
- National Experimental Teaching Demonstration Center of Animal Medicine Foundation, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
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The effect of ambient temperature on in-hospital mortality: a study in Nanjing, China. Sci Rep 2022; 12:6304. [PMID: 35428808 PMCID: PMC9012784 DOI: 10.1038/s41598-022-10395-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 03/31/2022] [Indexed: 12/05/2022] Open
Abstract
To reduce the inpatient mortality and improve the quality of hospital management, we explore the relationship between temperatures and in-hospital mortality in a large sample across 10 years in Nanjing, Jiangsu. We collected 10 years’ data on patient deaths from a large research hospital. Distributed lag non-linear model (DLNM) was used to find the association between daily mean temperatures and in-hospital mortality. A total of 6160 in-hospital deaths were documented. Overall, peak RR appeared at 8 °C, with the range of 1 to 20 °C having a significantly high mortality risk. In the elderly (age ≥ 65 years), peak RR appeared at 5 °C, with range − 3 to 21 °C having a significantly high mortality risk. In males, peak RR appeared at 8 °C, with the range 0 to 24 °C having a significantly high mortality risk. Moderate cold (define as 2.5th percentile of daily mean temperatures to the MT), not extreme temperatures (≤ 2.5th percentile or ≥ 97.5th percentile of daily mean temperatures), increased the risk of death in hospital patients, especially in elderly and male in-hospital patients.
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7
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Zhang S, Wang B, Yin L, Wang S, Hu W, Song X, Feng H. Novel Evidence Showing the Possible Effect of Environmental Variables on COVID-19 Spread. GEOHEALTH 2022; 6:e2021GH000502. [PMID: 35317468 PMCID: PMC8923516 DOI: 10.1029/2021gh000502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/09/2021] [Accepted: 11/17/2021] [Indexed: 06/09/2023]
Abstract
Coronavirus disease (COVID-19) remains a serious issue, and the role played by meteorological indicators in the process of virus spread has been a topic of academic discussion. Previous studies reached different conclusions due to inconsistent methods, disparate meteorological indicators, and specific time periods or regions. This manuscript is based on seven daily meteorological indicators in the NCEP reanalysis data set and COVID-19 data repository of Johns Hopkins University from 22 January 2020 to 1 June 2021. Results showed that worldwide average temperature and precipitable water (PW) had the strongest correlation (ρ > 0.9, p < 0.001) with the confirmed COVID-19 cases per day from 22 January to 31 August 2020. From 22 January to 31 August 2020, positive correlations were observed between the temperature/PW and confirmed COVID-19 cases/deaths in the northern hemisphere, whereas negative correlations were recorded in the southern hemisphere. From 1 September to 31 December 2020, the opposite results were observed. Correlations were weak throughout the near full year, and weak negative correlations were detected worldwide (|ρ| < 0.4, p ≤ 0.05); the lag time had no obvious effect. As the latitude increased, the temperature and PW of the maximum confirmed COVID-19 cases/deaths per day generally showed a decreasing trend; the 2020-year fitting functions of the response latitude pattern were verified by the 2021 data. Meteorological indicators, although not a decisive factor, may influence the virus spread by affecting the virus survival rates and enthusiasm of human activities. The temperature or PW threshold suitable for the spread of COVID-19 may increase as the latitude decreases.
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Affiliation(s)
- Sixuan Zhang
- College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
| | - Bingyun Wang
- College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
| | - Li Yin
- Panzhihua Central HospitalPanzhihuaChina
| | - Shigong Wang
- College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
- Zunyi Academician Work CenterZunyiChina
| | - Wendong Hu
- College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
| | - Xueqian Song
- College of ManagementChengdu University of Information TechnologyChengduChina
| | - Hongmei Feng
- College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina
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Sabah ZU, Alarim RAO, Alarim MAO. The Role of Cold Exposure on Ischemic Heart Disease: A Systematic Review. PHARMACOPHORE 2022. [DOI: 10.51847/z8kswsnevd] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Zhou G, Yang M, Chai J, Sun R, Zhang J, Huang H, Zhang Y, Deng Q, Jiang L, Ba Y. Preconception ambient temperature and preterm birth: a time-series study in rural Henan, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:9407-9416. [PMID: 33145731 DOI: 10.1007/s11356-020-11457-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 10/27/2020] [Indexed: 06/11/2023]
Abstract
Changes in the preconception ambient temperature (PAT) can affect the gametogenesis, disturbing the development of the embryo, but the health risks of PAT on the developing fetus are still unclear. Here, based on the National Free Preconception Health Examination Project in the rural areas of Henan Province, we evaluate the effects of PAT on preterm birth (PTB). Data of 1,231,715 records from self-reported interviews, preconception physical examination, early gestation follow-up, and postpartum follow-up were collected from 1 January 2013 to 31 December 2016. Generalized additive models were used to assess the cumulative and lag effects of PAT upon PTB. The significant cumulative effects of mean temperature within 2 weeks and 3 weeks on the risk of PTB, especially upon late PTB (34-36 weeks) (P < 0.05), were observed. Exposure to extreme heat (> 90th percentile) within 2 weeks (RR = 1.470) and 3 weeks (RR = 1.375) before conception could increase the risk of PTB. After stratifying PTB, exposure to extreme heat within 2 weeks before conception can increase the risks of early (< 34 weeks) and late PTB (P < 0.05). Besides, exposure to extreme cold (< 10th percentile) within 3 weeks or longer before conception can elevate the risk of PTB, especially late PTB. The significant lag effects of temperature changes on the risk of early PTB (lag-8 days or earlier) were observed. In conclusion, the risk of PTB was susceptible to PAT changes within 2 weeks or longer before conception. Our findings provide (i) guidance for rural couples to make pregnancy plans and (ii) scientific evidence for the government to formulate policies to prevent PTB.
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Affiliation(s)
- Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
- Yellow River Institute for Ecological Protection & Regional Coordinated Development, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Meng Yang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Population Defects Prevention, Henan Provincial Research, Zhengzhou, 450002, Henan, People's Republic of China
- Henan Institute of Reproduction Health Science and Technology, Zhengzhou, 450002, Henan, People's Republic of China
| | - Renjie Sun
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Zhengzhou, 450002, Henan, People's Republic of China
- Key Laboratory of Population Defects Prevention, Henan Provincial Research, Zhengzhou, 450002, Henan, People's Republic of China
- Henan Institute of Reproduction Health Science and Technology, Zhengzhou, 450002, Henan, People's Republic of China
| | - Hui Huang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yawei Zhang
- Department of Environment Health Science, Yale University School of Public Health, New Haven, CT, USA
| | - Qihong Deng
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
- School of Energy Science and Engineering, Xiangya School of Public Health, Central South University, Changsha, 410083, Hunan, People's Republic of China
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Zhengzhou, 450002, Henan, People's Republic of China.
- Key Laboratory of Population Defects Prevention, Henan Provincial Research, Zhengzhou, 450002, Henan, People's Republic of China.
- Henan Institute of Reproduction Health Science and Technology, Zhengzhou, 450002, Henan, People's Republic of China.
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
- Yellow River Institute for Ecological Protection & Regional Coordinated Development, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
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