Urbanization and physical activity in the global Prospective Urban and Rural Epidemiology study

Kenneth Palmer
  • Vlahov, D. & Galea, S. Urbanization, urbanicity, and health. J. Urban Health Bull N. Y. Acad. Med. 79, 1–12 (2002).


    Google Scholar
     

  • Nations, U. Revision of World Urbanization Prospects. United Nations https://www.un.org/en/desa/2018-revision-world-urbanization-prospects. (2018).

  • Urbanization. https://www.un.org/en/development/desa/population/theme/urbanization/index.asp.

  • Huang, N.-C., Kung, S.-F. & Hu, S. C. The Relationship between urbanization, the built environment, and physical activity among older adults in Taiwan. Int. J. Environ. Res. Public. Health 15, 836 (2018).

  • Monda, K. L., Gordon-Larsen, P., Stevens, J. & Popkin, B. M. China’s transition: The effect of rapid urbanization on adult occupational physical activity. Soc. Sci. Med. 64, 858–870 (2007).


    Google Scholar
     

  • Taylor, D. Physical activity is medicine for older adults. Postgrad. Med. J. 90, 26–32 (2014).


    Google Scholar
     

  • Organization, W. H. Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World (World Health Organization, 2019).

  • Almeida, O. P. et al. 150 minutes of vigorous physical activity per week predicts survival and successful ageing: A population-based 11-year longitudinal study of 12 201 older Australian men. Br. J. Sports Med. 48, 220–225 (2014).


    Google Scholar
     

  • WHO. New Physical Activity Recommendations for Reducing Disease and Prevent Deaths. WHO http://www.who.int/chp/media/news/releases/2011_2_physicalactivity/en/.

  • CDC. Benefits of Physical Activity. Centers for Disease Control and Prevention https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm (2021).

  • WHO. Prevalence of Insufficient Physical Activity. WHO http://www.who.int/gho/ncd/risk_factors/physical_activity_text/en/.

  • Sallis, J. F. et al. Progress in physical activity over the Olympic quadrennium. The Lancet 388, 1325–1336 (2016).


    Google Scholar
     

  • Guthold, R., Stevens, G. A., Riley, L. M. & Bull, F. C. Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet Glob. Health 6, e1077–e1086 (2018).


    Google Scholar
     

  • Hallal, P. C. et al. Global physical activity levels: Surveillance progress, pitfalls, and prospects. Lancet Lond. Engl. 380, 247–257 (2012).


    Google Scholar
     

  • Assah, F. K., Ekelund, U., Brage, S., Mbanya, J. C. & Wareham, N. J. Urbanization, physical activity, and metabolic health in sub-Saharan Africa. Diabetes Care 34, 491–496 (2011).


    Google Scholar
     

  • Machado-Rodrigues, A. M. et al. Urban–rural contrasts in fitness, physical activity, and sedentary behaviour in adolescents. Health Promot. Int. 29, 118–129 (2014).


    Google Scholar
     

  • Ng, S. W., Norton, E. C. & Popkin, B. M. Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Soc. Sci. Med. 1982(68), 1305–1314 (2009).


    Google Scholar
     

  • Ojiambo, R. M. et al. Effect of urbanization on objectively measured physical activity levels, sedentary time, and indices of adiposity in Kenyan adolescents. J. Phys. Act. Health 9, 115–123 (2012).


    Google Scholar
     

  • Moreno-Llamas, A., García-Mayor, J. & De la Cruz-Sánchez, E. Urban-rural differences in trajectories of physical activity in Europe from 2002 to 2017. Health Place 69, 102570 (2021).


    Google Scholar
     

  • Kelly, P., Fitzsimons, C. & Baker, G. Should we reframe how we think about physical activity and sedentary behaviour measurement? Validity and reliability reconsidered. Int. J. Behav. Nutr. Phys. Act. 13, 32 (2016).


    Google Scholar
     

  • DiPietro, L. et al. Advancing the global physical activity agenda: Recommendations for future research by the 2020 WHO physical activity and sedentary behavior guidelines development group. Int. J. Behav. Nutr. Phys. Act. 17, 143 (2020).


    Google Scholar
     

  • Macniven, R., Bauman, A. & Abouzeid, M. A review of population-based prevalence studies of physical activity in adults in the Asia-Pacific region. BMC Public Health 12, 41 (2012).


    Google Scholar
     

  • Heath, G. W. et al. Evidence-based intervention in physical activity: Lessons from around the world. Lancet Lond. Engl. 380, 272–281 (2012).


    Google Scholar
     

  • Armstrong, T. & World Health Organization. A Guide for Population-Based Approaches to Increasing Levels of Physical Activity: Implementation of the WHO Global Strategy on Diet, Physical Activity and Health (World Health Organization, 2007).

  • Lambert, E. V. et al. Role of physical activity for health in communities undergoing epidemiological transition. World Rev. Nutr. Diet. 90, 110–126 (2001).

    CAS 

    Google Scholar
     

  • Popkin, B. M., Paeratakul, S., Zhai, F. & Ge, K. A review of dietary and environmental correlates of obesity with emphasis on developing countries. Obes. Res. 3(Suppl 2), 145s–153s (1995).


    Google Scholar
     

  • Ng, S. W., Howard, A.-G., Wang, H., Su, C. & Zhang, B. The Physical Activity Transition among Adults in China: 1991–2011. Obes. Rev. Off. J. Int. Assoc. Study Obes. 15, 27–36 (2014).

  • Gong, P. et al. Urbanisation and health in China. Lancet 379, 843–852 (2012).


    Google Scholar
     

  • Popkin, B. M. FAN. World Dev. 27, 1905–1916 (1999).


    Google Scholar
     

  • Sturm, R. The economics of physical activity: Societal trends and rationales for interventions. Am. J. Prev. Med. 27, 126–135 (2004).


    Google Scholar
     

  • Pratt, M., Macera, C. A., Sallis, J. F., O’Donnell, M. & Frank, L. D. Economic interventions to promote physical activity: Application of the SLOTH model. Am. J. Prev. Med. 27, 136–145 (2004).


    Google Scholar
     

  • Cawley, J. An economic framework for understanding physical activity and eating behaviors. Am. J. Prev. Med. 27, 117–125 (2004).


    Google Scholar
     

  • Fishman, E., Böcker, L. & Helbich, M. Adult active transport in the Netherlands: An analysis of its contribution to physical activity requirements. PLoS ONE 10, e0121871 (2015).


    Google Scholar
     

  • Waygood, E. O. D., Sun, Y. & Letarte, L. Active travel by built environment and lifecycle stage: Case study of Osaka metropolitan area. Int. J. Environ. Res. Public. Health 12, 15900–15924 (2015).

    CAS 

    Google Scholar
     

  • Eckert, S. & Kohler, S. Urbanization and health in developing countries: A systematic review. World Health Popul. 15, 7–20 (2014).


    Google Scholar
     

  • Dong, Y. et al. Prevalence of type 2 diabetes in urban and rural Chinese populations in Qingdao, China. Diabet. Med. J. Br. Diabet. Assoc. 22, 1427–1433 (2005).

    CAS 

    Google Scholar
     

  • Liu, S. et al. Prevalence of diabetes and impaired fasting glucose in Chinese adults, China National Nutrition and Health Survey, 2002. Prev. Chronic. Dis. 8, A13 (2011).


    Google Scholar
     

  • Chandrabose, M., Owen, N., Hadgraft, N., Giles-Corti, B. & Sugiyama, T. Urban densification and physical activity change: A 12-year longitudinal study of Australian adults. Am. J. Epidemiol. 190, 2116–2123 (2021).


    Google Scholar
     

  • Kärmeniemi, M., Lankila, T., Ikäheimo, T., Koivumaa-Honkanen, H. & Korpelainen, R. The built environment as a determinant of physical activity: A systematic review of longitudinal studies and natural experiments. Ann. Behav. Med. Publ. Soc. Behav. Med. 52, 239–251 (2018).


    Google Scholar
     

  • WHO EMRO. Urbanization and noncommunicable disease (NCD) risk factors: WHO STEPwise Iranian NCD risk factors surveillance in 2011 | Volume 23, issue 7 | EMHJ volume 23, 2017. http://www.emro.who.int/emhj-volume-23-2017/volume-23-issue-7/urbanization-and-noncommunicable-disease-ncd-risk-factors-who-stepwise-iranian-ncd-risk-factors-surveillance-in-2011.html.

  • Ferrari, G. et al. Association between perceived neighborhood built environment and walking and cycling for transport among inhabitants from Latin America: The ELANS study. Int. J. Environ. Res. Public. Health 17, 6858 (2020).


    Google Scholar
     

  • Van Dyck, D. et al. Perceived neighborhood environmental attributes associated with adults’ leisure-time physical activity: Findings from Belgium, Australia and the USA. Health Place 19, 59–68 (2013).


    Google Scholar
     

  • Kerr, J. et al. Perceived neighborhood environmental attributes associated with walking and cycling for transport among adult residents of 17 cities in 12 countries: The IPEN study. Environ. Health Perspect. 124, 290–298 (2016).


    Google Scholar
     

  • Cerin, E. et al. Determining thresholds for spatial urban design and transport features that support walking to create healthy and sustainable cities: Findings from the IPEN Adult study. Lancet Glob. Health 10, e895–e906 (2022).


    Google Scholar
     

  • Monda, K. L., Gordon-Larsen, P., Stevens, J. & Popkin, B. M. China’s transition: The effect of rapid urbanization on adult occupational physical activity. Soc. Sci. Med. 1982(64), 858–870 (2007).


    Google Scholar
     

  • Reis, J. P. et al. Nonoccupational physical activity by degree of urbanization and U.S. geographic region. Med. Sci. Sports Exerc. 36, 2093–2098 (2004).


    Google Scholar
     

  • Allender, S., Foster, C., Hutchinson, L. & Arambepola, C. Quantification of urbanization in relation to chronic diseases in developing countries: A systematic review. J. Urban Health Bull N. Y. Acad. Med. 85, 938–951 (2008).


    Google Scholar
     

  • Galea, S. & Vlahov, D. Urban health: Evidence, challenges, and directions. Annu. Rev. Public Health 26, 341–365 (2005).


    Google Scholar
     

  • Allender, S., Wickramasinghe, K., Goldacre, M., Matthews, D. & Katulanda, P. Quantifying urbanization as a risk factor for noncommunicable disease. J. Urban Health Bull N. Y. Acad. Med. 88, 906–918 (2011).


    Google Scholar
     

  • Cleland, C., Ferguson, S., Ellis, G. & Hunter, R. F. Validity of the International Physical Activity Questionnaire (IPAQ) for assessing moderate-to-vigorous physical activity and sedentary behaviour of older adults in the United Kingdom. BMC Med. Res. Methodol. 18, 1–12 (2018).

  • Belon, A. P., Nieuwendyk, L. M., Vallianatos, H. & Nykiforuk, C. I. J. Community lenses revealing the role of sociocultural environment on physical activity. Am. J. Health Promot. 30, e92–e100 (2016).


    Google Scholar
     

  • Paudel, S., Owen, A. J. & Smith, B. J. Socio-ecological influences of leisure-time physical activity among Nepalese adults: A qualitative study. BMC Public Health 21, 1443 (2021).


    Google Scholar
     

  • Arku, R. E. et al. Characterizing exposure to household air pollution within the Prospective Urban Rural Epidemiology (PURE) study. Environ. Int. 114, 307–317 (2018).

    CAS 

    Google Scholar
     

  • Corsi, D. J. et al. Prospective Urban Rural Epidemiology (PURE) study: Baseline characteristics of the household sample and comparative analyses with national data in 17 countries. Am. Heart J. 166, 636-646.e4 (2013).


    Google Scholar
     

  • Teo, K., Chow, C. K., Vaz, M., Rangarajan, S. & Yusuf, S. The Prospective Urban Rural Epidemiology (PURE) study: Examining the impact of societal influences on chronic noncommunicable diseases in low-, middle-, and high-income countries. Am. Heart J. 158, 1-7.e1 (2009).


    Google Scholar
     

  • World Bank. World Bank Country and Lending Groups—World Bank Data Help Desk. World Bank Country and Lending Groups https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups (2022).

  • Ara, A. Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ)—Short and Long Forms Contents.

  • Ritchie, H. & Roser, M. Urbanization. Our World Data (2018).

  • Haustein, M. D. The urban-rural environment: Effects of impervious surface land cover on lake ecosystems (2010).

  • Scalenghe, R. & Marsan, F. A. The anthropogenic sealing of soils in urban areas. Landsc. Urban Plan. 90, 1–10 (2009).


    Google Scholar
     

  • Socioeconomic Data and Applications Center (sedac). Gridded Population of the World (GPW), v4 | SEDAC. https://sedac.ciesin.columbia.edu/data/collection/gpw-v4.

  • Chen, J., Chang, K., Karacsonyi, D. & Zhang, X. Comparing urban land expansion and its driving factors in Shenzhen and Dongguan, China. Habitat Int. 43, 61–71 (2014).

    CAS 

    Google Scholar
     

  • Ma, Y. & Xu, R. Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou City, China. Habitat Int. 34, 228–235 (2010).


    Google Scholar
     

  • Xu, X. & Min, X. Quantifying spatiotemporal patterns of urban expansion in China using remote sensing data. Cities 35, 104–113 (2013).


    Google Scholar
     

  • Greiner, P. T., Shtob, D. A. & Besek, J. F. Is urbanization good for the climate? A cross-county analysis of impervious surface, affluence, and the carbon intensity of well-being. Socius 6, 2378023119896896 (2020).


    Google Scholar
     

  • Balk, D., Leyk, S., Jones, B., Montgomery, M. R. & Clark, A. Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990–2010. PLoS ONE 13, e0208487 (2018).

  • Gong, P. et al. Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sens. Environ. 236, 111510 (2020).

    ADS 

    Google Scholar
     

  • SAS Institute Inc. SAS/ACCESS® 9.4 Interface to ADABAS: Reference. Cary, NC: SAS Institute Inc. https://www.sas.com/en_us/solutions.html (2013).

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