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Ji JS, Xia Y, Liu L, Zhou W, Chen R, Dong G, Hu Q, Jiang J, Kan H, Li T, Li Y, Liu Q, Liu Y, Long Y, Lv Y, Ma J, Ma Y, Pelin K, Shi X, Tong S, Xie Y, Xu L, Yuan C, Zeng H, Zhao B, Zheng G, Liang W, Chan M, Huang C. China's public health initiatives for climate change adaptation. Lancet Reg Health West Pac 2023; 40:100965. [PMID: 38116500 PMCID: PMC10730322 DOI: 10.1016/j.lanwpc.2023.100965] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/01/2023] [Accepted: 11/01/2023] [Indexed: 12/21/2023]
Abstract
China's health gains over the past decades face potential reversals if climate change adaptation is not prioritized. China's temperature rise surpasses the global average due to urban heat islands and ecological changes, and demands urgent actions to safeguard public health. Effective adaptation need to consider China's urbanization trends, underlying non-communicable diseases, an aging population, and future pandemic threats. Climate change adaptation initiatives and strategies include urban green space, healthy indoor environments, spatial planning for cities, advance location-specific early warning systems for extreme weather events, and a holistic approach for linking carbon neutrality to health co-benefits. Innovation and technology uptake is a crucial opportunity. China's successful climate adaptation can foster international collaboration regionally and beyond.
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Affiliation(s)
- John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yanjie Xia
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Linxin Liu
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weiju Zhou
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National School of Public Health, Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Guanghui Dong
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Qinghua Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National School of Public Health, Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Li
- Public Meteorological Service Centre, China Meteorological Administration, Beijing, China
| | - Qiyong Liu
- National Institute of Infectious Diseases at China, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanxiang Liu
- Public Meteorological Service Centre, China Meteorological Administration, Beijing, China
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, China
| | - Yuebin Lv
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jian Ma
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yue Ma
- School of Architecture, Tsinghua University, Beijing, China
| | - Kinay Pelin
- School of Climate Change and Adaptation, University of Prince Edward Island, Prince Edward Island, Canada
| | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Queensland University of Technology, Brisbane, Australia
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | - Lei Xu
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Huatang Zeng
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Bin Zhao
- Department of Building Science, School of Architecture, Tsinghua University, Beijing, China
| | - Guangjie Zheng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Margaret Chan
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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2
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Song J, Liang Y, Xu Z, Wu Y, Yan S, Mei L, Sun X, Li Y, Jin X, Yi W, Pan R, Cheng J, Hu W, Su H. Built environment and schizophrenia re-hospitalization risk in China: A cohort study. Environ Res 2023; 227:115816. [PMID: 37003555 DOI: 10.1016/j.envres.2023.115816] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/13/2023] [Accepted: 03/30/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Built environment exposure, characterized by ubiquity and changeability, has the potential to be the prospective target of public health policy. However, little research has been conducted to explore its impact on schizophrenia. This study aimed to investigate the association between built environmentand and schizophrenia rehospitalization by simultaneously considering substantial built environmental exposures. METHODS We recruited eligible schizophrenia patients from Hefei, Anhui Province, China between 2017 and 2019. The main outcome for this study was the time interval until the first recurrent hospital admission occurred within one year after discharge. For each included subject, we estimated the built environment exposures, including population density, walkability, land use mix, green and blue space, public transportation accessibility and road traffic indicator. Lasso (Least Absolute Shrinkage and Selection Operator) analysis was used to select the key variables. Multivariable Cox regression model was applied to obtain hazard ratio (HR) and its corresponding 95% confidence intervals (CI). Further, we also evaluated the joint effects of built environment characteristics on rehospitalization for schizophrenia by Quantile g-computation model. RESULTS A total of 1564 hospitalized schizophrenia patients were enrolled, with 347 patients (22.2%) had a rehospitalization within one-year after discharge. Multivariable Cox regression analysis indicated that the re-hospitalization rate for schizophrenia would be higher in areas with a high population density (HR: 1.10, 95%CI: 1.04-1.16). Nonetheless, compared to the reference (Q1), participants who lived in a neighborhood with the highest walkability and NDVI (Normalized Difference Vegetation Index) (Q4) had a 76% and 47% lower risk of re-hospitalization within one year (HR:0.24, 95%CI: 0.13-0.45; and 0.53, 95%CI:0.32-0.85), respectively. Moreover, quantile-based g-computation analyses revealed that increased walkability and green space significantly eliminated the adverse effects of population density increases on schizophrenia patients, with a HR ratio of 0.61 (95%CI:0.48,0.79) per one quartile change at the same time. CONCLUSION Our study provides scientific evidence for the significant role of built environment in schizophrenia rehospitalization, suggesting that optimizing the built environment is required in designing and building a healthy city.
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Affiliation(s)
- Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China; Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Australia
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, QLD, 4222, Australia
| | - Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China
| | - Wenbiao Hu
- Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Australia.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No.81 Meishan Road, Shushan District, Hefei, Anhui, 230031, China.
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Zhao M, Qin W, Zhang S, Qi F, Li X, Lan X. Assessing the construction of a Healthy City in China: a conceptual framework and evaluation index system. Public Health 2023; 220:88-95. [PMID: 37285608 DOI: 10.1016/j.puhe.2023.04.020] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 06/09/2023]
Abstract
OBJECTIVES COVID-19 has brought challenges to the health of all mankind. It is particularly important to promote the construction of a 'Healthy China' and build a 'healthy community'. The aims of this study were to construct a reasonable conceptual framework for the Healthy City concept and to assess Healthy City construction in China. STUDY DESIGN This study combined qualitative and quantitative research. METHODS This study proposes the concept model of 'nature-human body-Healthy City' and accordingly constructs an evaluation index system for the construction of a Healthy City that integrates five dimensions, namely, the medical level, economic basis, cultural development, social services, and ecological environment to explore the spatial and temporal heterogeneity of Healthy City construction in China. Finally, the influencing factors of Healthy City construction patterns are explored using GeoDetector. RESULTS (1) The pace of Healthy City construction is generally on the rise; (2) the construction of Healthy Cities exhibits significant global spatial autocorrelation and gradually increasing agglomeration. The spatial distribution of cold hotspot areas was relatively stable; (3) medical and health progress is an important factor; the level of economic development is the leading support; the endowment of resources and environment is the basic condition; public service support provides important support; and scientific and technological innovation capabilities provide technical support for the construction of a Healthy City. CONCLUSIONS The spatial heterogeneity of Healthy City construction in China is evident, and the state of spatial distribution is relatively stable. The spatial pattern of Healthy City construction is shaped by a combination of factors. Our research will provide a scientific basis for promoting the construction of Healthy Cities and helping to implement the Health China Strategy.
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Affiliation(s)
- M Zhao
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China
| | - W Qin
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China.
| | - S Zhang
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China
| | - F Qi
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China
| | - X Li
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China
| | - X Lan
- School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, PR China
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Fazeli Dehkordi ZS, Khatami SM, Ranjbar E. The Associations Between Urban Form and Major Non-communicable Diseases: a Systematic Review. J Urban Health 2022; 99:941-958. [PMID: 35776285 PMCID: PMC9561495 DOI: 10.1007/s11524-022-00652-4] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/05/2022] [Indexed: 10/17/2022]
Abstract
In the current century, non-communicable diseases (NCDs), particularly cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, are the most important cause of mortality all over the world. Given the effect of the built environment on people's health, the present study seeks to conduct a systematic review in order to investigate the relationship between urban form and these four major NCDs as well as their main risk factors. Two independent reviewers in November 2020 after an extensive search through PubMed and Scopus identified 77 studies. Studies published in English were included if they addressed one or more attributes of urban form in relation to any major NCDs and their main risk factors. Publication date, country, geographical scale, study design, methods of built environment measurement, and findings of the relationships among variables were extracted from eligible studies. The findings suggest that the elements of urban form (density, transportation and accessibility, characteristics of building and streetscape, land use, spatial layouts and configuration) could increase or inhibit these diseases through their effect on physical activity, diet, air pollution, blood pressure, and obesity. However, there are study shortages, contradictions, and ambiguities in these relationships which are mainly due to methodological and conceptual challenges. As a result, more in-depth research is needed to achieve solid and consistent results that could be made into clear guidelines for planning and designing healthier cities.
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Affiliation(s)
| | - Seyed Mahdi Khatami
- Department of Urban Design & Planning, Tarbiat Modares University, Tehran, Iran
| | - Ehsan Ranjbar
- Department of Urban Design & Planning, Tarbiat Modares University, Tehran, Iran
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Song Y, Chen B, Ho HC, Kwan MP, Liu D, Wang F, Wang J, Cai J, Li X, Xu Y, He Q, Wang H, Xu Q, Song Y. Observed inequality in urban greenspace exposure in China. Environ Int 2021; 156:106778. [PMID: 34425646 DOI: 10.1016/j.envint.2021.106778] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 06/13/2023]
Abstract
Given the important role of green environments playing in healthy cities, the inequality in urban greenspace exposure has aroused growing attentions. However, few comparative studies are available to quantify this phenomenon for cities with different population sizes across a country, especially for those in the developing world. Besides, commonly used inequality measures are always hindered by the conceptual simplification without accounting for human mobility in greenspace exposure assessments. To fill this knowledge gap, we leverage multi-source geospatial big data and a modified assessment framework to evaluate the inequality in urban greenspace exposure for 303 cities in China. Our findings reveal that the majority of Chinese cities are facing high inequality in greenspace exposure, with 207 cities having a Gini index larger than 0.6. Driven by the spatiotemporal variability of human distribution, the magnitude of inequality varies over different times of the day. We also find that exposure inequality is correlated with low greenspace provision with a statistical significance (p-value < 0.05). The inadequate provision may result from various factors, such as dry cold climate and urbanization patterns. Our study provides evidence and insights for central and local governments in China to implement more effective and sustainable greening programs adjusted to different local circumstances and incorporate the public participatory engagement to achieve a real balance between greenspace supply and demand for developing healthy cities.
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Affiliation(s)
- Yimeng Song
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Bin Chen
- Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Mei-Po Kwan
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, the Netherlands
| | - Dong Liu
- Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Human Environments Analysis Laboratory, The University of Western Ontario, Social Sciences Centre, London, ON N6A 5C2, Canada; Department of Geography and Environment, The University of Western Ontario, Social Sciences Centre, London, ON N6A 5C2, Canada
| | - Fei Wang
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Jionghua Wang
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Jixuan Cai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Xijing Li
- Department of City and Regional Planning, University of North Carolina at Chapel Hill, NC 27599, USA
| | - Yong Xu
- School of Geographical Science, Guangzhou University, Guangzhou 510006, China
| | - Qingqing He
- School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Hongzhi Wang
- College of Environment and Planning, Henan University, Henan, China
| | - Qiyan Xu
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yongze Song
- School of Design and the Built Environment, Curtin University, Perth 6845, Australia.
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Li K, Wang L, Feng M. Relationship between built environments and risks of ischemic stroke based on meteorological factors: A case study of Wuhan's main urban area. Sci Total Environ 2021; 769:144331. [PMID: 33736230 DOI: 10.1016/j.scitotenv.2020.144331] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 11/14/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
Ischemic stroke is one of the most common causes of death worldwide, and uncomfortable meteorological and built environments may increase its risk. Residents in different built environments are exposed to different risks of ischemic stroke in cold and hot weather. By using the data from 3547 patients hospitalized, a distributed lag non-linear model was established to compare the differences in the risk of ischemic stroke in urban areas with respect to different Building Height, Building Density, Normalized Differential Vegetation Index, and Distance to Water under the meteorological condition. The results showed that lower Building Height is related to the negative cold effects in winter, and higher Building Height is related to increased risks at high temperatures. Built environments with Building Heights of 10-15 m in hot weather and above 15 m in cold weather have low risks. Higher Building Density was found to be associated with reduced negative cold effects; however, the negative hot effects increased in summer. Built environments with a Building Density of more than 0.3 showed low risks, regardless of the weather conditions. Increasing NDVI seemed to mitigate negative effects in uncomfortable weather, and built environments with higher NDVI were found to be associated with lower risks of ischemic stroke. Built environments with shorter Distance to Water seemed to pose higher risks in summer, and longer Distance to Water was correlated with higher risks in winter. Built environments with Distance to Water in the range of 0.65-2.30 km showed low risks. The research results could have some implications for urban planners to form reasonable built environments under certain meteorological factors which can be beneficial for the mitigation of incidence of ischemic stroke.
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Affiliation(s)
- Kun Li
- School of Urban Design, Wuhan University, Wuhan, China.
| | - Lantao Wang
- School of Urban Design, Wuhan University, Wuhan, China.
| | - Maohui Feng
- Zhongnan Hospital of Wuhan University, Wuhan, China.
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7
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Palutturi S, Saleh LM, Rachmat M, Malek JA, Nam EW. Principles and strategies for aisles communities empowerment in creating Makassar Healthy City, Indonesia. Gac Sanit 2021; 35 Suppl 1:S46-S48. [PMID: 33832625 DOI: 10.1016/j.gaceta.2020.12.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/04/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To discuss the characteristics of the aisles communities and to identify the principles and strategies for empowering alley communities in realizing the Makassar Healthy City. METHOD The method used in this research was a qualitative method. Data collection was carried out through an extensive literature review, FGD, and in-depth interviews. Data were analyzed using thematic analysis. RESULTS This research identified the characteristics of the aisles community. This research also found that empowerment of aisles communities can be built with holistic principles, commitment to alley health, leadership, participation, synergy, independence, equality, and sustainability. The development strategies for the aisle communities can be carried out through regulation, the principles of brains and muscles (thinkers and workers), organizations/work groups, community education, funding, and advocacy. CONCLUSION Synergy and convergence action of the aisles program that has the leverage/effect in realizing a clean, comfortable, safe, healthy, and productive aisles is needed.
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Affiliation(s)
- Sukri Palutturi
- Department of Health Policy and Administration, Faculty of Public Health Universitas Hasanuddin, Indonesia.
| | - Lalu Muhammad Saleh
- Department of Occupational Health and Safety, Faculty of Public Health Universitas Hasanuddin, Indonesia
| | - Muhammad Rachmat
- Department of Health Promotion and Behavioral Sciences, Faculty of Public Health Universitas Hasanuddin, Indonesia
| | - Jalaluddin Abdul Malek
- Center for Development, Social and Environmental Studies, University Kebangsaan Malaysia, Malaysia
| | - Eun Woo Nam
- Department of Health Administration, Head of Healthy City Research Center Yonsei University, Republic of Korea
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Galarraga P, Vives M, Cabrera-Manzano D, Urda L, Brito M, Gea-Caballero V. [The incorporation of community health in the planning and transformation of the urban environment. SESPAS Report 2018]. Gac Sanit 2018; 32 Suppl 1:74-81. [PMID: 30249349 DOI: 10.1016/j.gaceta.2018.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 07/31/2018] [Accepted: 08/03/2018] [Indexed: 11/20/2022]
Abstract
Urbanized and built-up environments are determinants of health as well as community health. Therefore, we intend to analyze the influence of urban development on both public and community health, from the perspective of gender, citizen participation in urban planning projects, and accessibility. From a bibliographic review and narrative analysis, based on the experience of the authors, we found several urban transformation projects focusing, in particular, on four large areas: school centres and playgrounds, empty urban spaces and disused buildings, pedestrian pathways, and various housing interventions. The participatory processes (driven by institutions and/or citizens) developed within the framework of urban diagnostic projects and the preparation of plans and projects, constitute a double opportunity to work on community health: on the one hand, considering them as an objective, and on the other, as a tool to design environments that promote the well-being of the community. The incorporation of citizens and the collaboration of all the agents involved, taking their diversity into account, are essential, and this is a shared responsibility between local/supra-local administration, and citizenship. Regulation must be designed to facilitate the processes and when it is applied must allow the population to take a central role in the transformation of environments that will promote well-being and health.
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Affiliation(s)
- Patxi Galarraga
- Projekta Urbes, Consultoría en Urbanismo Inclusivo y Saludable, Zarautz (Gipuzkoa), España.
| | - Miren Vives
- Projekta Urbes, Consultoría en Urbanismo Inclusivo y Saludable, Zarautz (Gipuzkoa), España
| | - David Cabrera-Manzano
- Escuela Técnica Superior de Arquitectura, Universidad de Granada, Granada, España; Auguria, Taller de Urbanismo, Granada, España
| | - Lucila Urda
- Escuela Técnica Superior de Arquitectura, Universidad Politécnica de Madrid, Madrid, España; Pez Arquitectos, Madrid, España
| | - Mariela Brito
- Tritzquel Arquitectura, Quito, Ecuador, y Barcelona, España
| | - Vicente Gea-Caballero
- Escuela de Enfermería La Fe, Valencia, España; Grupo de Investigación Emergente Acreditado en Arte y Ciencia del Cuidado GREIACC, Instituto de Investigación Sanitaria La Fe, Valencia, España
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9
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WANG Y, WANG X, GUAN F. The Beneficial Evaluation of the Healthy City Construction in China. Iran J Public Health 2017; 46:843-847. [PMID: 28828328 PMCID: PMC5558079] [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] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 11/16/2016] [Indexed: 12/02/2022]
Abstract
BACKGROUND Creating healthy cities promotes socio-economic development, thus, the creation of such cities has been receiving more attention from the Chinese government and the Chinese people. In the current study, the intention was to conduct a comprehensive evaluation of the creation of healthy cities in Henan province in central China. METHODS We randomly selected 18 cities (7 healthy cities and 11 non-healthy cities) in middle regions of China in 2013 and established evaluation indices to evaluate the beneficial effects by horizontal and vertical comparison analyses. RESULTS Creating the healthy cities promoted health service, economic development, spiritual and ecological success. This was achieved by constructing cities and changing work style among the officials and establishment of patriotic health organizations. CONCLUSION This is the first comprehensive, in-depth, appraisal of the healthy cities in China. We suggest that creating the healthy cities should be promoted a larger extend world-wide since it is beneficial at many levels.
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Affiliation(s)
- Yuming WANG
- Henan Provincial People’s Hospital, Zhengzhou, Henan, P.R. China
| | - Xinxin WANG
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P.R. China
| | - Fangxia GUAN
- School of Life Science, Zhengzhou University, Zhengzhou, Henan, P.R. China
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Sá TH, Duran AC, Tainio M, Monteiro CA, Woodcock J. Cycling in São Paulo, Brazil (1997-2012): Correlates, time trends and health consequences. Prev Med Rep 2016; 4:540-5. [PMID: 27761356 DOI: 10.1016/j.pmedr.2016.10.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 09/26/2016] [Accepted: 10/03/2016] [Indexed: 11/24/2022] Open
Abstract
The purpose of the study was to describe cyclists and cycling trips, and to explore correlates, time trends and health consequences of cycling in São Paulo, Brazil from 1997 to 2012. Cross-sectional analysis using repeated São Paulo Household Travel Surveys (HTS). At all time periods cycling was a minority travel mode in São Paulo (1174 people with cycling trips out of 214,719 people). Poisson regressions for individual correlates were estimated using the entire 2012 HTS sample. Men were six times more likely to cycle than women. We found rates of bicycle use rising over time among the richest quartile but total cycling rates dropped from 1997 to 2012 due to decreasing rates among the poor. Harms from air pollution would negate benefits from physical activity through cycling only at 1997 air pollution levels and at very high cycling levels (≥ 9 h of cycling per day). Exposure-based road injury risk decreased between 2007 and 2012, from 0.76 to 0.56 cyclist deaths per 1000 person-hours travelled. Policies to reduce spatial segregation, measures to tackle air pollution, improvements in dedicated cycling infrastructure, and integrating the bicycle with the public transport system in neighborhoods of all income levels could make cycling safer and prevent more individuals from abandoning the cycling mode in São Paulo. Cycling rates increased between 1997 and 2007 but decreased in 2012. Cycling decreased in the 25% poorest and increased in the 25% richest people. Strong gender and age inequalities were observed, favouring men and young people. In current air pollution levels, benefits from cycling outweigh harms in the city. Exposure-based road injury risk decreased between 1997 and 2012.
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