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Khraishah H, Chen Z, Rajagopalan S. Understanding the Cardiovascular and Metabolic Health Effects of Air Pollution in the Context of Cumulative Exposomic Impacts. Circ Res 2024; 134:1083-1097. [PMID: 38662860 DOI: 10.1161/circresaha.124.323673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Poor air quality accounts for more than 9 million deaths a year globally according to recent estimates. A large portion of these deaths are attributable to cardiovascular causes, with evidence indicating that air pollution may also play an important role in the genesis of key cardiometabolic risk factors. Air pollution is not experienced in isolation but is part of a complex system, influenced by a host of other external environmental exposures, and interacting with intrinsic biologic factors and susceptibility to ultimately determine cardiovascular and metabolic outcomes. Given that the same fossil fuel emission sources that cause climate change also result in air pollution, there is a need for robust approaches that can not only limit climate change but also eliminate air pollution health effects, with an emphasis of protecting the most susceptible but also targeting interventions at the most vulnerable populations. In this review, we summarize the current state of epidemiologic and mechanistic evidence underpinning the association of air pollution with cardiometabolic disease and how complex interactions with other exposures and individual characteristics may modify these associations. We identify gaps in the current literature and suggest emerging approaches for policy makers to holistically approach cardiometabolic health risk and impact assessment.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore (H.K.)
| | - Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
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Zhou S, Su M, Shen P, Yang Z, Chai P, Sun S, Lin H, Shui L, Zhang N, Xu M, Zheng ZJ, Wang J, Zhang Z, Chen K. Association between drinking water quality and mental health and the modifying role of diet: a prospective cohort study. BMC Med 2024; 22:53. [PMID: 38302940 PMCID: PMC10835879 DOI: 10.1186/s12916-024-03269-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/22/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Environmental factors play an important role in developing mental disorders. This study aimed to investigate the associations of metal and nonmetal elements in drinking water with the risk of depression and anxiety and to assess whether diets modulate these associations. METHODS We conducted a prospective cohort study including 24,285 participants free from depression and anxiety from the Yinzhou Cohort study in the 2016-2021 period. The exposures were measured by multiplying metal and nonmetal element concentrations in local pipeline terminal tap water samples and total daily drinking water intakes. Cox regression models adjusted for multi-level covariates were used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (95%CIs). RESULTS During an average follow-up period of 4.72 and 4.68 years, 773 and 1334 cases of depression and anxiety were identified, respectively. A 1 standard deviation (SD) increase in manganese exposure reduced the incidence of depression by 8% (HR 0.92, 95%CI 0.88 to 0.97). In contrast, with a 1 SD increase in copper and cadmium exposure, the incidence of depression increased by 6% (HR 1.06, 95%CI 1.01 to 1.11) and 8% (HR 1.08, 95%CI 1.00 to 1.17), respectively. The incidence of anxiety increased by 39% (HR 1.39, 95%CI 1.20 to 1.62), 33% (HR 1.33, 95%CI 1.03 to 1.71), and 14% (HR 1.14, 95%CI 1.03 to 1.25) respectively for a 1 SD increase in manganese, iron, and selenium exposure. Diets have a moderating effect on the associations of metal and nonmetal elements with the risk of anxiety. Stronger associations were observed in older, low-income groups and low-education groups. CONCLUSIONS We found significant associations between exposure to metal and nonmetal elements and depression and anxiety. Diets regulated the associations to some extent.
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Affiliation(s)
- Shuduo Zhou
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Beijing, 100191, Haidian District, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Mintao Su
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Beijing, 100191, Haidian District, China
| | - Peng Shen
- Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Zongming Yang
- Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Pengfei Chai
- Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Hongbo Lin
- Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Na Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Ming Xu
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Beijing, 100191, Haidian District, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Zhi-Jie Zheng
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Beijing, 100191, Haidian District, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China.
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
| | - Zhenyu Zhang
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Beijing, 100191, Haidian District, China.
- Institute for Global Health and Development, Peking University, Beijing, China.
- Institute of Carbon Neutrality, Peking University, Beijing, China.
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China.
- Department of Epidemiology and Biostatistics, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
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Sabedotti MES, O'Regan AC, Nyhan MM. Data Insights for Sustainable Cities: Associations between Google Street View-Derived Urban Greenspace and Google Air View-Derived Pollution Levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19637-19648. [PMID: 37972280 DOI: 10.1021/acs.est.3c05000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Unprecedented levels of urbanization have escalated urban environmental health issues, including increased air pollution in cities globally. Strategies for mitigating air pollution, including green urban planning, are essential for sustainable and healthy cities. State-of-the-art research investigating urban greenspace and pollution metrics has accelerated through the use of vast digital data sets and new analytical tools. In this study, we examined associations between Google Street View-derived urban greenspace levels and Google Air View-derived air quality, where both have been resolved in extremely high resolution, accuracy, and scale along the entire road network of Dublin City. Particulate matter of size fraction less than 2.5 μm (PM2.5), nitrogen dioxide, nitric oxide, carbon monoxide, and carbon dioxide were quantified using 5,030,143 Google Air View measurements, and greenspace was quantified using 403,409 Google Street View images. Significant (p < 0.001) negative associations between urban greenspace and pollution were observed. For example, an interquartile range increase in the Green View Index was associated with a 7.4% [95% confidence interval: -13.1%, -1.3%] decrease in NO2 at the point location spatial resolution. We provide insights into how large-scale digital data can be harnessed to elucidate urban environmental interactions that will have important planning and policy implications for sustainable future cities.
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Affiliation(s)
- Maria E S Sabedotti
- Discipline of Civil, Structural & Environmental Engineering, School of Engineering & Architecture, University College Cork, Cork T12 K8AF, Ireland
- MaREI, the SFI Research Centre for Energy, Climate & Marine, University College Cork, Ringaskiddy, CorkP43 C573, Ireland
- Environmental Research Institute, University College Cork, Lee Rd, Sundays, Well, Cork T23 XE10, Ireland
| | - Anna C O'Regan
- Discipline of Civil, Structural & Environmental Engineering, School of Engineering & Architecture, University College Cork, Cork T12 K8AF, Ireland
- MaREI, the SFI Research Centre for Energy, Climate & Marine, University College Cork, Ringaskiddy, CorkP43 C573, Ireland
- Environmental Research Institute, University College Cork, Lee Rd, Sundays, Well, Cork T23 XE10, Ireland
| | - Marguerite M Nyhan
- Discipline of Civil, Structural & Environmental Engineering, School of Engineering & Architecture, University College Cork, Cork T12 K8AF, Ireland
- MaREI, the SFI Research Centre for Energy, Climate & Marine, University College Cork, Ringaskiddy, CorkP43 C573, Ireland
- Environmental Research Institute, University College Cork, Lee Rd, Sundays, Well, Cork T23 XE10, Ireland
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Shi H, Zhou Q, Zhang H, Sun S, Zhao J, Wang Y, Huang J, Jin Y, Zheng Z, Wu R, Zhang Z. The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study. TOXICS 2023; 11:895. [PMID: 37999547 PMCID: PMC10675017 DOI: 10.3390/toxics11110895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 10/28/2023] [Accepted: 10/29/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Ambulance emergency calls (AECs) are seen as a more suitable metric for syndromic surveillance due to their heightened sensitivity in reflecting the health impacts of air pollutants. Limited evidence has emphasized the combined effect of hourly air pollutants on AECs. This study aims to investigate the combined effects of multipollutants (i.e., PM2.5, PM10, Ozone, NO2, and SO2) on all-cause and cause-specific AECs by using the quantile g-computation method. METHODS We used ambulance emergency dispatch data, air pollutant data, and meteorological data from between 1 January 2013 and 31 December 2019 in Shenzhen, China, to estimate the associations of hourly multipollutants with AECs. We followed a two-stage analytic protocol, including the distributed lag nonlinear model, to examine the predominant lag for each air pollutant, as well as the quantile g-computation model to determine the associations of air pollutant mixtures with all-cause and cause-specific AECs. RESULTS A total of 3,022,164 patients were identified during the study period in Shenzhen. We found that each interquartile range increment in the concentrations of PM2.5, PM10, Ozone, NO2, and SO2 in 0-8 h, 0-8 h, 0-48 h, 0-28 h, and 0-24 h was associated with the highest risk of AECs. Each interquartile range increase in the mixture of air pollutants was significantly associated with a 1.67% (95% CI, 0.12-3.12%) increase in the risk of all-cause AECs, a 1.81% (95% CI, 0.25-3.39%) increase in the risk of vascular AECs, a 1.77% (95% CI, 0.44-3.11%) increase in reproductive AECs, and a 2.12% (95% CI, 0.56-3.71%) increase in AECs due to injuries. CONCLUSIONS We found combined effects of pollutant mixtures associated with an increased risk of AECs across various causes. These findings highlight the importance of targeted policies and interventions to reduce air pollution, particularly for PM, Ozone, and NO2 emissions.
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Affiliation(s)
- Hanxu Shi
- Department of Global Health, School of Public Health, Peking University, Beijing 100191, China; (H.S.); (Y.J.); (Z.Z.)
| | - Qiang Zhou
- Shenzhen Center for Prehospital Care, Shenzhen 518025, China; (Q.Z.); (H.Z.)
| | - Hongjuan Zhang
- Shenzhen Center for Prehospital Care, Shenzhen 518025, China; (Q.Z.); (H.Z.)
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100054, China;
| | - Junfeng Zhao
- School of Computer Science, Peking University, Beijing 100871, China;
| | - Yasha Wang
- National Engineering Research Center of Software Engineering, Peking University, Beijing 100871, China;
| | - Jie Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China;
| | - Yinzi Jin
- Department of Global Health, School of Public Health, Peking University, Beijing 100191, China; (H.S.); (Y.J.); (Z.Z.)
- Institute for Global Health and Development, Peking University, Beijing 100871, China
| | - Zhijie Zheng
- Department of Global Health, School of Public Health, Peking University, Beijing 100191, China; (H.S.); (Y.J.); (Z.Z.)
| | - Rengyu Wu
- Shenzhen Center for Prehospital Care, Shenzhen 518025, China; (Q.Z.); (H.Z.)
| | - Zhenyu Zhang
- Department of Global Health, School of Public Health, Peking University, Beijing 100191, China; (H.S.); (Y.J.); (Z.Z.)
- Institute for Global Health and Development, Peking University, Beijing 100871, China
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Bianconi A, Longo G, Coa AA, Fiore M, Gori D. Impacts of Urban Green on Cardiovascular and Cerebrovascular Diseases-A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5966. [PMID: 37297570 PMCID: PMC10253108 DOI: 10.3390/ijerph20115966] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023]
Abstract
Cardiovascular diseases (CVDs) are a leading cause of mortality globally. In particular, ischemic heart diseases (IHDs) and cerebrovascular diseases (CBVDs) represent the main drivers of CVD-related deaths. Many literature examples have assessed the association between CVD risk factors and urban greenness. Urban green (UG) may positively affect physical activity, reduce air and noise pollution, and mitigate the heat island effect, which are known risk factors for CVD morbidity. This systematic review aims to assess the effects of urban green spaces on CVD morbidity and mortality. Peer-reviewed research articles with a quantitative association between urban green exposure variables and cardiovascular and cerebrovascular outcomes were included. Meta-analyses were conducted for each outcome evaluated in at least three comparable studies. Most of the included studies' results highlighted an inverse correlation between exposure to UG and CVD outcomes. Gender differences were found in four studies, with a protective effect of UG only statistically significant in men. Three meta-analyses were performed, showing an overall protective effect of UG on CVD mortality (HR (95% CI) = 0.94 (0.91, 0.97)), IHD mortality (HR (95% CI) = 0.96 (0.93, 0.99)), and CBVD mortality (HR (95% CI) = 0.96 (0.94, 0.97)). The results of this systematic review suggest that exposure to UG may represent a protective factor for CVDs.
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Affiliation(s)
| | | | | | - Matteo Fiore
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
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Zhou S, Chai P, Dong X, Liang Z, Yang Z, Li J, Teng G, Sun S, Xu M, Zheng ZJ, Wang J, Zhang Z, Chen K. Drinking water quality and inflammatory bowel disease: a prospective cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27460-w. [PMID: 37160856 DOI: 10.1007/s11356-023-27460-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/02/2023] [Indexed: 05/11/2023]
Abstract
Environmental factors, such as drinking water and diets, play an important role in the development of inflammatory bowel disease (IBD). This study aimed to investigate the associations of metal elements and disinfectants in drinking water with the risk of inflammatory bowel disease (IBD) and to assess whether diet influences these associations. We conducted a prospective cohort study including 22,824 participants free from IBD from the Yinzhou cohort study in the 2016-2022 period with an average follow-up of 5.24 years. The metal and disinfectant concentrations were measured in local pipeline terminal tap water samples. Cox regression models adjusted for multi-level covariates were used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs). During an average follow-up period of 5.24 years, 46 cases of IBD were identified. For every 1 standard deviation (SD) increase in the concentration of manganese, mercury, selenium, sulfur tetraoxide (SO4), chlorine, and nitrate nitrogen (NO3_N) were associated with a higher risk of IBD with the HRs of 1.45 (95% CI: 1.14 to 1.84), 1.51 (95% CI: 1.24-1.82), 1.29 (95% CI: 1.03-1.61), 1.52 (95% CI: 1.26-1.83), 1.26 (95% CI: 1.18-1.34), and 1.66 (95% CI: 1.32-2.09), whereas zinc and fluorine were inversely associated with IBD with the HRs of 0.42 (95% CI: 0.24 to 0.73) and 0.68 (95% CI: 0.54-0.84), respectively. Stronger associations were observed in females, higher income groups, low education groups, former drinkers, and participants who never drink tea. Diets have a moderating effect on the associations of metal and nonmetal elements with the risk of IBD. We found significant associations between exposure to metals and disinfectants and IBD. Diets regulated the associations to some extent.
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Affiliation(s)
- Shuduo Zhou
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Pengfei Chai
- The Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, China
| | - Xuejie Dong
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Zhisheng Liang
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
| | - Zongming Yang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China
| | - Junxia Li
- Department of Gastroenterology, Peking University First Hospital, Beijing, 100034, China
| | - Guigen Teng
- Department of Gastroenterology, Peking University First Hospital, Beijing, 100034, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Ming Xu
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Zhi-Jie Zheng
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China
- Department of Epidemiology and Biostatistics, and National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Zhenyu Zhang
- Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
- Institute for Global Health and Development, Peking University, Beijing, China.
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China
- Department of Epidemiology and Biostatistics, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
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Zeng S, Tian J, Song Y, Zeng J, Zhao X. Spatial Differentiation of PM 2.5 Concentration and Analysis of Atmospheric Health Patterns in the Xiamen-Zhangzhou-QuanZhou Urban Agglomeration. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3340. [PMID: 36834036 PMCID: PMC9963608 DOI: 10.3390/ijerph20043340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 02/09/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
Exploring the spatial differentiation of PM2.5 concentrations in typical urban agglomerations and analyzing their atmospheric health patterns are necessary for building high-quality urban agglomerations. Taking the Xiamen-Zhangzhou-Quanzhou urban agglomeration as an example, and based on exploratory data analysis and mathematical statistics, we explore the PM2.5 spatial distribution patterns and characteristics and use hierarchical analysis to construct an atmospheric health evaluation system consisting of exposure-response degree, regional vulnerability, and regional adaptation, and then identify the spatial differentiation characteristics and critical causes of the atmospheric health pattern. This study shows the following: (1) The average annual PM2.5 value of the area in 2020 was 19.16 μg/m3, which was lower than China's mean annual quality concentration limit, and the overall performance was clean. (2) The spatial distribution patterns of the components of the atmospheric health evaluation system are different, with the overall cleanliness benefit showing a "north-central-south depression, the rest of the region is mixed," the regional vulnerability showing a coastal to inland decay, and the regional adaptability showing a "high north, low south, high east, low west" spatial divergence pattern. (3) The high-value area of the air health pattern of the area is an "F-shaped" spatial distribution; the low-value area shows a pattern of "north-middle-south" peaks standing side by side. The assessment of health patterns in the aforementioned areas can provide theoretical references for pollution prevention and control and the construction of healthy cities.
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Affiliation(s)
- Suiping Zeng
- School of Architecture, Tianjin Chengjian University, Tianjin 300384, China
| | - Jian Tian
- School of Architecture, Tianjin University, Tianjin 300072, China
- School of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
| | - Yuanzhen Song
- School of Architecture, Tianjin University, Tianjin 300072, China
| | - Jian Zeng
- School of Architecture, Tianjin University, Tianjin 300072, China
| | - Xiya Zhao
- School of Architecture, Tianjin Chengjian University, Tianjin 300384, China
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