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  Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

  Lung-Chang Chien, Xiao Li, Amanda Staudt

  03-11-2017

  https://doi.org/10.4081/gh.2017.528

  2515

  PDF: 739

  HTML: 758
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  Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

  Xiao Li, Amanda Staudt, Lung-Chang Chien

  21-11-2016

  https://doi.org/10.4081/gh.2016.439

  2454

  PDF: 1104

  APPENDIX: 375

  HTML: 1126
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  Impact of walkability with regard to physical activity in the prevention of diabetes

  Carlos Mena, César Sepúlveda, Yony Ormazábal, Eduardo Fuentes, Iván Palomo

  03-11-2017

  https://doi.org/10.4081/gh.2017.595

  3258

  PDF: 958

  HTML: 1065
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  Associations between time spent in green areas and physical activity among late middle-aged adults

  Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe

  16-11-2016

  https://doi.org/10.4081/gh.2016.411

  2588

  PDF: 1350

  HTML: 865
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  Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

  Sun-Bi Um, Jung-Sup Um

  04-11-2015

  https://doi.org/10.4081/gh.2015.382

  2893

  PDF: 1168

  HTML: 1015
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  Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

  Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong

  29-11-2022

  https://doi.org/10.4081/gh.2022.1091

  1207

  PDF: 851

  Appendix: 67

  HTML: 152
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  Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

  Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

  16-05-2022

  https://doi.org/10.4081/gh.2022.1072

  1611

  PDF: 730

  HTML: 121
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  Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

  Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang

  07-05-2018

  https://doi.org/10.4081/gh.2018.608

  3519

  PDF: 1705

  HTML: 569

• Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

  Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie

  28-05-2024

  https://doi.org/10.4081/gh.2024.1255

  2119

  PDF: 426

  HTML: 52
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  Spatial association of public sports facilities with body mass index in Korea

  Eun Jin Han, Kiyeon Kang, So Young Sohn

  07-05-2018

  https://doi.org/10.4081/gh.2018.542

  2115

  PDF: 886

  HTML: 86
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  Estimating small area health-related characteristics of populations: a methodological review

  Azizur Rahman

  08-05-2017

  https://doi.org/10.4081/gh.2017.495

  3871

  PDF: 1641

  HTML: 1340
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  Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

  Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

  31-05-2016

  https://doi.org/10.4081/gh.2016.428

  6652

  PDF: 2236

  APPENDIX: 1061

  HTML: 5048
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  Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

  André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

  04-11-2015

  https://doi.org/10.4081/gh.2015.365

  2982

  PDF: 1257

  HTML: 1217