744
Views
0
CrossRef citations to date
0
Altmetric
Original Scholarship - Methodological

Developing and field testing the Neighbourhood Observational Tool for auditing urban community environments (CyNOTes) in the city of Limassol, Cyprus

, , &
Pages 779-794 | Received 10 Oct 2022, Accepted 14 Mar 2023, Published online: 10 Apr 2023

References

  • Adkins, A., et al., 2012. Unpacking walkability: testing the influence of urban design features on perceptions of walking environment attractiveness. Journal of urban design, 17 (4), 499–510. doi:10.1080/13574809.2012.706365.
  • Adu-Brimpong, J., et al., 2017. Optimizing scoring and sampling methods for assessing built neighborhood environment quality in residential areas. International journal of environmental research and public health, 14 (3), 273. doi:10.3390/ijerph14030273.
  • Alfonzo, M., et al., 2014. Walking, obesity and urban design in Chinese neighborhoods. Preventive medicine, 69 (S), S79–85. doi:10.1016/j.ypmed.2014.10.002.
  • Andresen, E.M., et al., 2013. Observer ratings of neighborhoods: comparison of two methods. BMC public health, 13 (1). doi:10.1186/1471-2458-13-1024.
  • Augusta, A., et al., 2012. Assessing the psychometric and ecometric properties of neighborhood scales in developing countries: saúde em Beagá study, Belo Horizonte, Brazil, 2008–2009. Journal of urban health, 90 (2), 246–261. doi:10.1007/s11524-012-9737-z.
  • Bader, M.D., et al., 2015. Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions. Health & place, 31, 163–172.
  • Bethlehem, J.R., et al., 2014. The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment. International journal of health geographics, 13 (1), 52. doi:10.1186/1476-072X-13-52.
  • Boarnet, M.G., et al., 2006. The Irvine-Minnesota inventory to measure built environments: reliability tests. American journal of preventive medicine, 30 (2), 153–159. doi:10.1016/j.amepre.2005.09.018.
  • Boarnet, M.G., et al., 2011. The street level built environment and physical activity and walking: results of a predictive validity study for the Irvine Minnesota inventory. Environment and behavior, 43 (6), 735–775. doi:10.1177/0013916510379760.
  • Caughy, M.O., O’campo, P.J., and Patterson, J., 2001. A brief observational measure for urban neighborhoods. Health & place, 7 (3), 225–236. doi:10.1016/S1353-8292(01)00012-0.
  • Charreire, H., et al., 2014. Using remote sensing to define environmental characteristics related to physical activity and dietary behaviours: a systematic review (the SPOTLIGHT project). Health & Place, 25, 1–9. doi:10.1016/j.healthplace.2013.09.017
  • Chaudhury, H., et al., 2011. Use of a systematic observational measure to assess and compare walkability for older adults in Vancouver, British Columbia and Portland, Oregon neighbourhoods. Journal of urban design, 16 (4), 433–454. doi:10.1080/13574809.2011.585847.
  • Chow, C.K., et al., 2010. Environmental Profile of a Community's Health (EPOCH): an instrument to measure environmental determinants of cardiovascular health in five countries. Plos One, 5 (12), e14294.
  • Clifton, K.J., Livi Smith, A.D., and Rodriguez, D., 2007. The development and testing of an audit for the pedestrian environment. Landscape and urban planning, 80 (1–2), 95–110. doi:10.1016/j.landurbplan.2006.06.008.
  • Diez Roux, A.V. and Mair, C., 2010. Neighborhoods and health. Annals of the New York Academy of Sciences, 1186 (1), 125–145.
  • Dunstan, F., et al., 2005. An observation tool to assist with the assessment of urban residential environments. Journal of environmental psychology, 25 (3), 293–305. doi:10.1016/j.jenvp.2005.07.004.
  • Ellina, P., et al., 2021. Social gradient in health-related quality of life among urban middle-age residents in Limassol. Cyprus: research article. BMC Public Health, 21, 608. doi:10.1186/s12889-020-10027-6.
  • Freitas, E.D.D., et al., 2013. Instrumento para condução de observação social sistemática: métodos e resultados da concordância interobservadores. Cadernos de Saúde Pública, 29 (10), 2093–2104. doi:10.1590/0102-311x00086812.
  • Furr-Holden, C.D., et al., 2008. The NIfETy method for environmental assessment of neighborhood-level indicators of violence, alcohol, and other drug exposure. Prevention Science, 9, 245–255.
  • Guillaume, E., et al., 2015. Development of a cross-cultural deprivation index in five European countries. Journal of epidemiology and community health, 70, 493–499.
  • Gullón, P., et al., 2015. Assessing walking and cycling environments in the streets of Madrid: comparing on-field and virtual audits. Journal of urban health, 92 (5), 923–939. doi:10.1007/s11524-015-9982-z.
  • James, P., et al., 2016. Exposure to greenness and mortality in a nationwide prospective cohort study of women. Environmental health perspectives, 124 (9), 1344–1352. doi:10.1289/ehp.1510363.
  • Kepper, M.M., et al., 2017. A reliable, feasible method to observe neighborhoods at high spatial resolution. American journal of preventive medicine, 52 (1), S20–30.
  • Kim, S., Park, S., and Lee, J.S., 2014. Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction. Transportation research Part D: transport and environment, 30, 10–20. doi:10.1016/j.trd.2014.05.005
  • Kleopa, D., et al., 2022. Profiling the variability and inequity in the residential environment in Cyprus according to citizens’ ratings: a cross-sectional internet-based “Place Standard” survey. BMC Public Health, 22 (1), 1–22.
  • Knapp, E.A., et al., 2016. Community audit of social, civil, and activity domains in diverse environments (CASCADDE). American journal of preventive medicine, 1–11. doi:10.1016/j.amepre.2016.11.013.
  • Lafontaine, S.J.V., Sawada, M., and Kristjansson, E., 2017. A direct observation method for auditing large urban centers using stratified sampling, mobile GIS technology and virtual environments. International journal of health geographics, 16 (1), 1–15. doi:10.1186/s12942-017-0079-7.
  • Lamnisos, D., Lambrianidou, G., and Middleton, N., 2019. Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality. BMC Public Health, 19 (1), 1–1.
  • Leonard, T.C.M., et al., 2011. Systematic neighborhood observations at high spatial resolution: methodology and assessment of potential benefits. Plos One, 6 (6), e20225. doi:10.1371/journal.pone.0020225.
  • Leung, C.W., et al., 2010. Measuring the neighborhood environment: associations with young girls’ energy intake and expenditure in a cross-sectional study. The international journal of behavioral nutrition and physical activity, 7 (1), 1–10. doi:10.1186/1479-5868-7-52.
  • Malecki, K.C., et al., 2014. The Wisconsin assessment of the social and built environment (WASABE): a multi-dimensional objective audit instrument for examining neighborhood effects on health. BMC public health, 14 (1), 1–15. doi:10.1186/1471-2458-14-1165.
  • Marco, M., et al., 2017. Validation of a Google street view-based neighborhood disorder observational scale. Journal of urban health, 94 (2), 190–198. doi:10.1007/s11524-017-0134-5.
  • Middleton, N., et al., 2018. Socio-economic inequality in health: individual- and area-level measures of socio-economic position. In: A.K. Uskul and S. Oishi, eds, Socio-economic environment and human psychology: Social, ecological and Cultural perspective. Oxford: Oxford University Press, 129–170.
  • Milam, A.J., et al., 2016. Evaluating nighttime observational measures of neighborhood disorder: validity of the nighttime NIfETy assessment. Journal of environmental psychology, 45, 97–102. doi:10.1016/j.jenvp.2015.11.010
  • Millstein, R.A., et al., 2013. Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS). BMC Public Health, 13 (1), 1–5.
  • Mujahid, M.S., et al., 2007. Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. American journal of epidemiology, 165 (8), 858–867. doi:10.1093/aje/kwm040.
  • Nickelson, J., et al., 2013. Inventory of the physical environment domains and subdomains measured by neighborhood audit tools: a systematic literature review. Journal of environmental psychology, 36, 179–189. doi:10.1016/j.jenvp.2013.07.009
  • Papadopoulos, C. and Twaddle, B.J., 2016. Differences in physical activity and built environment perceptions between younger and older adults living in the same rural. International journal of public health science (IJPHS), 5 (2), 142–150. doi:10.11591/ijphs.v5i2.4778.
  • Paquet, C., et al., 2010. Reliability of an instrument for direct observation of urban neighbourhoods. Landscape and urban planning, 97 (3), 194–201. doi:10.1016/j.landurbplan.2010.06.001.
  • Parsons, J.A., et al., 2010. Standardized observation of neighbourhood disorder: does it work in Canada? International journal of health geographics, 9 (1), 1–19. doi:10.1186/1476-072X-9-6.
  • Pikora, T.J., et al., 2002. Developing a reliable audit instrument to measure the physical environment for physical activity. American journal of preventive medicine, 23 (3), 187–194. doi:10.1016/S0749-3797(02)00498-1.
  • Poortinga, W., et al., 2017. Neighborhood quality and attachment: validation of the revised residential environment assessment tool. Environment and behavior, 49 (3), 255–282. doi:10.1177/0013916516634403.
  • Quintas, R., et al., 2014. The COURAGE Built Environment Outdoor Checklist: an objective built environment instrument to investigate the impact of the environment on health and disability. Clinical Psychology & Psychotherapy, 21 (3), 204–214.
  • Saelens, B.E. and Handy, S.L., 2010. NIH public access. 40 (206). doi:10.1249/MSS.0b013e31817c67a4.Built.
  • Sallis, J.F., et al., 2015. Is your neighborhood designed to support physical activity? A brief streetscape audit tool. Preventing chronic disease, 12 (9). doi:10.5888/pcd12.150098.
  • Sampson, R.J. and Raudenbush, S.W., 1999. Systematic social observation of public spaces: a new look at disorder in urban neighborhoods. The American journal of sociology, 105 (3), 603–651. doi:10.1086/210356.
  • Schaefer-McDaniel, N., Caughy, O., and O’campo, M.P., & Gearey, W., 2010. Examining methodological details of neighbourhood observations and the relationship to health: a literature review. Social science and medicine, 70 (2), 277–292. doi:10.1016/j.socscimed.2009.10.018.
  • Scottish Government, 2017. Place standard. Available from: https://www.placestandard.scot/ [Accessed 2 March, 2021].
  • Scribner, R., Tseng, T., and Schaettle, P., 2018. HHS public access, 52. doi:10.1016/j.amepre.2016.06.010.A.
  • Shareck, M., Dassa, C., and Frohlich, K.L., 2012. Improving the measurement of neighbourhood characteristics through systematic observation: inequalities in smoking as a case study. Health & place, 18 (3), 671–682. doi:10.1016/j.healthplace.2011.11.008.
  • Sim, J. and Wright, C.C., 2005. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Physical therapy, 85 (3), 257–268. doi:10.1093/ptj/85.3.257.
  • Smith, R.M., 2015. Planning for urban sustainability: the geography of LEED®–Neighborhood Development™(LEED®–ND™) projects in the United States. International journal of urban sustainable development, 7 (1), 15–32.
  • Su, M., et al., 2014. Objective assessment of urban built environment related to physical activity–development, reliability and validity of the China Urban Built Environment Scan Tool (CUBEST). BMC public health, 14 (1), 109. doi:10.1186/1471-2458-14-109.
  • Taylor, W.C., et al., 2012. Environmental audits of friendliness toward physical activity in three income levels. Journal of urban health, 89 (2), 296–307. doi:10.1007/s11524-011-9663-5.
  • Zenk, S.N., et al., 2007. Inter-rater and test-retest reliability: methods and results for the neighborhood observational checklist. Health & place, 13 (2), 452–465. doi:10.1016/j.healthplace.2006.05.003.
  • Zuniga-Teran, A.A., et al., 2016. Designing healthy communities: a walkability analysis of LEED-ND. Frontiers of Architectural Research, 5 (4), 433–452.