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Lei B, Wang X, Wang L, Kang Y, Wan T, Li W, Yang Q, Zhang J. Combining chemical analysis and toxicological methods to access the ecological risk of complex contamination in Daye Lake. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173690. [PMID: 38825198 DOI: 10.1016/j.scitotenv.2024.173690] [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: 11/23/2023] [Revised: 05/14/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
As one of the nine primary non-ferrous metal smelting bases in China, Daye Lake basin was polluted due to diverse human activities. But so far the pollution status and related ecological risks of this region have not been detailly investigated. In current study, pollutants including heavy metals, polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) in eight sediment samples from Daye Lake were quantified. 18S rRNA gene sequencing was employed to profile the nematode community structure within these sediments. Model organism Caenorhabditis elegans (C. elegans) were further applied for a comprehensive ecological risk assessment of Daye Lake. Notably, Cadmium (Cd) was identified as a key driver of ecological risk, reaching an index of 1287.35. At sample point S4, OCPs particularly p,p'-DDT, displayed an extreme ecological risk with a value of 23.19. Cephalobidae and Mononchida showed strong sensitivity to pollutant levels, reinforcing their suitability as robust bioindicators. The composite pollutants in sampled sediments caused oxidative stress in C. elegans, with gene Vit-2 and Mtl-1 as sensitive biomarkers. By employing the multiple analysis methods, our data can offer valuable contributions to environmental monitoring and health risk assessment for composite polluted areas.
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Affiliation(s)
- Bo Lei
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Wang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Ling Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Yue Kang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Tianying Wan
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenjuan Li
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Qingqing Yang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Jie Zhang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China.
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Deliboran A, Varol M, Aytop H. Evaluation of ecological and health risks of trace elements in soils of olive orchards and apportionment of their sources using the APCS-MLR receptor model. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:320. [PMID: 39012557 DOI: 10.1007/s10653-024-02108-x] [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: 05/03/2024] [Accepted: 06/28/2024] [Indexed: 07/17/2024]
Abstract
İzmir, Turkey's third most populous city, is in an important position in terms of both agriculture and industry. The province, which contributes 9.3% to the country's industrial production, also has an important potential in terms of olive cultivation. However, until now, no research has been undertaken to analyze the content of trace elements (TEs) in the soil of olive orchards in İzmir. This study was carried out to determine the pollution level and ecological risks of TEs in the olive orchards soils of İzmir province, to reveal their potential sources and to evaluate their health risks. Among the TEs, the average content of only Ni (37.9 mg/kg) exceeded the world soil average content (29 mg/kg), while the average content of only Cd (0.176 mg/kg) exceeded the upper continental crust content (0.09 mg/kg). Enrichment factor revealed that there was significant enrichment for Cd in 73.6%, Ni in 11.6% and Cr in 5.4% of olive orchards, respectively, due to polluted irrigation water and agrochemicals. Similarly, ecological risk factor indicated that there were moderate and considerable ecological risks for Cd in 48.8% and 23.3% of olive orchards, respectively. Absolute principal component scores-multiple linear regression (APCS-MLR) model showed that Ni and Cr in the study area are affected by agricultural sources, Al, Co, Cu, Fe, Mn, Pb and Zn originate from lithogenic sources, and Cd originates from mixed sources. Based on health risk evaluation methods, non-carcinogenic and carcinogenic effects would not be expected for residents. This study provides significant knowledge for evaluating soil TE pollution in olive orchards and serves a model for source apportionment and human health risk evaluation of TEs in other agricultural regions.
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Affiliation(s)
| | - Memet Varol
- Faculty of Agriculture, Malatya Turgut Özal University, Malatya, Turkey.
| | - Halil Aytop
- Kahramanmaraş East Mediterranean Transitional Zone Agricultural Research of Institute, Kahramanmaraş, Turkey
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Duan D, Wang P, Rao X, Zhong J, Xiao M, Huang F, Xiao R. Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173284. [PMID: 38768726 DOI: 10.1016/j.scitotenv.2024.173284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/22/2024]
Abstract
The accurate identification of spatial drivers is crucial for effectively managing soil heavy metals (SHM). However, understanding the complex and diverse spatial drivers of SHM and their interactive effects remains a significant challenge. In this study, we present a comprehensive analysis framework that integrates Geodetector, CatBoost, and SHapley Additive exPlanations (SHAP) techniques to identify and elucidate the interactive effects of spatial drivers in SHM within the Pearl River Delta (PRD) region of China. Our investigation incorporated fourteen environmental factors and focused on the pollution levels of three prominent heavy metals: Hg, Cd, and Zn. These findings provide several key insights: (1) The distribution of SHM is influenced by the combined effects of various individual factors and interactions within the source-flow-sink process. (2) Compared with the spatial interpretation of individual factors, the interaction between Hg and Cd exhibited enhanced spatial explanatory power. Similarly, interactions involving Zn mainly demonstrated increased spatial explanatory power, but there was one exception in which a weakening was observed. (3) Spatial heterogeneity plays a crucial role in determining the contributions of environmental factors to soil heavy metal concentrations. Although individual factors generally promote metal accumulation, their effects fluctuate when interactions are considered. (4) The SHAP interpretable method effectively addresses the limitations associated with machine-learning models by providing understandable insights into heavy metal pollution. This enables a comparison of the importance of environmental factors and elucidates their directional impacts, thereby aiding in the understanding of interaction mechanisms. The methods and findings presented in this study offer valuable insights into the spatial heterogeneity of heavy metal pollution in soil. By focusing on the effects of interactive factors, we aimed to develop more accurate strategies for managing SHM pollution.
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Affiliation(s)
- Deyu Duan
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Peng Wang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
| | - Xin Rao
- School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510420, China
| | - Junhong Zhong
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China
| | - Meihong Xiao
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Fei Huang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Rongbo Xiao
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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Saha A, Sen Gupta B, Patidar S, Hernández-Martínez JL, Martín-Romero F, Meza-Figueroa D, Martínez-Villegas N. A comprehensive study of source apportionment, spatial distribution, and health risks assessment of heavy metal(loid)s in the surface soils of a semi-arid mining region in Matehuala, Mexico. ENVIRONMENTAL RESEARCH 2024:119619. [PMID: 39009213 DOI: 10.1016/j.envres.2024.119619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 06/10/2024] [Accepted: 07/12/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND This study investigates the contamination level, spatial distribution, pollution sources, potential ecological risks, and human health risks associated with heavy metal(loid)s (i.e., arsenic (As), copper (Cu), iron (Fe), manganese (Mn), lead (Pb), and zinc (Zn)) in surface soils within the mining region of Matehuala, located in central Mexico. OBJECTIVES The primary objectives are to estimate the contamination level of heavy metal(loid)s, identify pollution sources, assess potential ecological risks, and evaluate human health risks associated with heavy metal(loid) contamination. METHODS Soil samples from the study area were analysed using various indices including Igeo, Cf, PLI, mCd, EF, and PERI to evaluate contamination levels. Source apportionment of heavy metal(loid)s was conducted using the APCS-MLR and PMF receptor models. Spatial distribution patterns were determined using the most efficient interpolation technique among five different approaches. The total carcinogenic risk index (TCR) and total non-carcinogenic index (THI) were used in this study to assess the potential carcinogenic and non-carcinogenic hazards posed by heavy metal(loid)s in surface soil to human health. RESULTS The study reveals a high contamination level of heavy metal(loid)s in the surface soil, posing considerable ecological risks. As was identified as a priority metal for regulatory control measures. Mining and smelting activities were identified as the primary factors influencing heavy metal(loid) distributions. Based on spatial distribution mapping, concentrations were higher in the northern, western, and central regions of the study area. As and Fe were found to pose considerable and moderate ecological risks, respectively. Health risk evaluation indicated significant levels of carcinogenic risks for both adults and children, with higher risks for children. CONCLUSION This study highlights the urgent need for monitoring heavy metal(loid) contamination in Matehuala's soils, particularly in regions experiencing strong economic growth, to mitigate potential human health and ecological risks associated with heavy metal(loid) pollution.
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Affiliation(s)
- Arnab Saha
- Institute of Infrastructure and Environment, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom.
| | - Bhaskar Sen Gupta
- Institute of Infrastructure and Environment, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom.
| | - Sandhya Patidar
- Institute of Infrastructure and Environment, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom.
| | | | - Francisco Martín-Romero
- Department of Geochemistry, Institute of Geology, Universidad Nacional Autónoma de México, Alcandia Coyoacán., Ciudad de México., 04510, México.
| | - Diana Meza-Figueroa
- Department of Geology, UNISON, University of Sonora, Rosales y Encinas s/n, C.P. 83000, Hermosillo, Sonora, Mexico;.
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Meng Z, Mo X, Xue Q, Wang Z, Lu X, Liu J, Ma Q, Sparks JP, He M. Distribution, source apportionment, and ecological risk assessment of soil antibiotic resistance genes in urban green spaces. ENVIRONMENTAL RESEARCH 2024; 251:118601. [PMID: 38447608 DOI: 10.1016/j.envres.2024.118601] [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: 12/31/2023] [Revised: 02/24/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
Urban green spaces play a crucial role in cities by providing near-natural environments that greatly impacts the health of residents. However, these green spaces have recently been scrutinized as potential reservoirs of antibiotic resistance genes (ARGs), posing significant ecological risks. Despite this concern, our understanding of the distribution, sources, and ecological risks associated with ARGs remains limited. In this study, we investigated the spatial distribution of soil ARGs using spatial interpolation and auto-correlation analysis. To apportion the source of soil ARGs in urban green spaces of Tianjin, Geo-detector method (GDM) was employed. Furthermore, we evaluated the ecological risk posed by ARGs employing risk quotients (RQ). The results of our study showed a significantly higher abundance of Quinolone resistance genes in the soil of urban green spaces in Tianjin. These genes were mainly found in the northwest, central, and eastern regions of the city. Our investigation identified three main factors contributing to the presence of soil ARGs: antibiotic production, precipitation, livestock breeding, and hospital. The results of ecological risk in RQ value showed a high risk associated with Quinolone resistance genes, followed by Aminoglycoside, Tetracycline, Multidrug, MLSB, Beta Lactam, Sulfonamide, and Chloramphenicol. Mantel-test and correlation analysis revealed that the ecological risk of ARGs was greatly influenced by soil properties and heavy metals. This study provides a new perspective on source apportionment and the ecological risk assessment of soil ARGs in urban green spaces.
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Affiliation(s)
- Zirui Meng
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin, 300382, China; Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, 300382, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, 100012, China
| | - Xunqiang Mo
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin, 300382, China
| | - Qing Xue
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin, 300382, China
| | - Ziyi Wang
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin, 300382, China
| | - Xueqiang Lu
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Jie Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Center for Grassland Microbiome, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Qinqin Ma
- College of Life Science, Sichuan Normal University, Sichuan, 610066, China
| | - Jed P Sparks
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Mengxuan He
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin, 300382, China; Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, 300382, China.
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Wu X, Lin L, Lin Z, Deng X, Li W, He T, Zhang J, Wang Y, Chen L, Lei Z, Liu C, Xu Z. Influencing mechanisms of microplastics existence on soil heavy metals accumulated by plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171878. [PMID: 38537832 DOI: 10.1016/j.scitotenv.2024.171878] [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: 12/20/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/17/2024]
Abstract
Microplastics (MPs) and heavy metals often coexist in soil, drawing significant attention to their interactions and the potential risks of biological accumulation in the soil-plant system. This paper comprehensively reviews the factors and biochemical mechanisms that influence the uptake of heavy metals by plants, in the existence of MPs, spanning from rhizospheric soil to the processes of root absorption and transport. The paper begins by introducing the origins and current situation of soil contamination with both heavy metals and MPs. It then discusses how MPs alter the physicochemical properties of rhizospheric soil, with a focus on parameters that affect the bioavailability of heavy metals such as aggregates, pH, Eh, and soil organic carbon (SOC). The paper also examines the effect of this pollution on soil organisms and plant growth and reviews the mechanisms by which MPs affect the bioavailability and movement-transformation of heavy metals in rhizospheric soil. This examination emphasizes the roles of rhizospheric microbes, soil fauna, and root physiological metabolism. Finally, the paper outlines the research progress on the mechanisms by which MPs influence the uptake and transport of heavy metals by plant roots. Through this comprehensive review, this paper provides aims to provide environmental managers with a detailed understanding of the potential impact of the coexistence of MPs and heavy metals on the soil-plant ecosystem.
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Affiliation(s)
- Xinyue Wu
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Lihong Lin
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Zheng Lin
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xingying Deng
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Wanli Li
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Tao He
- School of Chemical and Environmental Engineering, Hanjiang Normal University, Shi Yan 442000, China
| | - Jiexiang Zhang
- GRG Metrology& Test Group Co., Ltd., Guangzhou 510656, China
| | - Yifan Wang
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Lili Chen
- Business School, Central South University of Forestry and Technology, Changsha 410004, China; School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Zexiang Lei
- College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Chunguang Liu
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin 300350, China
| | - Zhimin Xu
- Guangdong Provincial Key Laboratory of Applied Botany and Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
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Gong C, Xia X, Lan M, Shi Y, Lu H, Wang S, Chen Y. Source identification and driving factor apportionment for soil potentially toxic elements via combining APCS-MLR, UNMIX, PMF and GDM. Sci Rep 2024; 14:10918. [PMID: 38740813 DOI: 10.1038/s41598-024-58673-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 04/02/2024] [Indexed: 05/16/2024] Open
Abstract
The contamination and quantification of soil potentially toxic elements (PTEs) contamination sources and the determination of driving factors are the premise of soil contamination control. In our study, 788 soil samples from the National Agricultural Park in Chengdu, Sichuan Province were used to evaluate the contamination degree of soil PTEs by pollution factors and pollution load index. The source identification of soil PTEs was performed using positive matrix decomposition (PMF), edge analysis (UNMIX) and absolute principal component score-multiple line regression (APCS-MLR). The geo-detector method (GDM) was used to analysis drivers of soil PTEs pollution sources to help interpret pollution sources derived from receptor models. Result shows that soil Cu, Pb, Zn, Cr, Ni, Cd, As and Hg average content were 35.2, 32.3, 108.9, 91.9, 37.1, 0.22, 9.76 and 0.15 mg/kg in this study area. Except for As, all are higher than the corresponding soil background values in Sichuan Province. The best performance of APCS-MLR was determined by comparison, and APCS-MLR was considered as the preferred receptor model for soil PTEs source distribution in the study area. ACPS-MLR results showed that 82.70% of Cu, 61.6% of Pb, 75.3% of Zn, 91.9% of Cr and 89.4% of Ni came from traffic-industrial emission sources, 60.9% of Hg came from domestic-transportation emission sources, 57.7% of Cd came from agricultural sources, and 89.5% of As came from natural sources. The GDM results showed that distance from first grade highway, population, land utilization and total potassium (TK) content were the main driving factors affecting these four sources, with q values of 0.064, 0.048, 0.069 and 0.058, respectively. The results can provide reference for reducing PTEs contamination in farmland soil.
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Affiliation(s)
- Cang Gong
- Research Center of Applied Geology of China Geological Survey, Chengdu, China
- Key Laboratory of Natural Resource Coupling Process and Effects, Beijing, China
| | - Xiang Xia
- Research Center of Applied Geology of China Geological Survey, Chengdu, China.
| | - Mingguo Lan
- Technology Innovation Center for Analysis and Detection of the Elemental Speciation and Emerging Contaminants, China Geological Survey, Kunming, China
| | - Youchang Shi
- Technology Innovation Center for Analysis and Detection of the Elemental Speciation and Emerging Contaminants, China Geological Survey, Kunming, China
| | - Haichuan Lu
- Research Center of Applied Geology of China Geological Survey, Chengdu, China
| | - Shunxiang Wang
- Research Center of Applied Geology of China Geological Survey, Chengdu, China
| | - Ying Chen
- Research Center of Applied Geology of China Geological Survey, Chengdu, China.
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Liu J, Zheng Q, Pei S, Li J, Ma L, Zhang L, Niu J, Tian T. Ecological and health risk assessment of heavy metals in agricultural soils from northern China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:99. [PMID: 38157088 DOI: 10.1007/s10661-023-12255-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
Soil pollution by heavy metals can cause continuing damage to ecosystems and the human body. In this study, we collected nine fresh topsoil samples and 18 maize samples (including nine leaf samples and nine corn samples) from agricultural soils in the Baiyin mining areas. The results showed that the order of heavy metal concentrations (mg/kg) in agricultural soils was as follows: Zn (377.40) > Pb (125.06) > Cu (75.06) > Ni (28.29) > Cd (5.46) > Hg (0.37). Cd, Cu, Zn, and Pb exceeded the Chinese risk limit for agricultural soil pollution. The average the pollution load index (4.39) was greater than 3, indicating a heavy contamination level. The element that contributed the most to contamination and high ecological risk in soil was Cd. Principal component analysis (PCA) and Pearson's correlation analysis indicated that the sources of Ni, Cd, Cu, and Zn in the soil were primarily mixed, involving both industrial and agricultural activities, whereas the sources of Hg and Pb included both industrial and transportation activities. Adults and children are not likely to experience non-carcinogenic impacts from the soil in this region. Nonetheless, it was important to be aware of the elevated cancer risk presented by Cd, Pb, and especially Ni. The exceedance rates of Cd and Pb in corn were 66.67% and 33.3%, respectively. The results of this research provide data to improve soil protection, human health monitoring, and crop management in the Baiyin district.
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Affiliation(s)
- Jiangyun Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Qiwen Zheng
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Shuwei Pei
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Jia Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Li Ma
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Li Zhang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China
| | - Jingping Niu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China.
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, The People's Republic of China.
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