Using crowdsourced data to assess the relationship between neighbourhood-level deprivation and the availability of inclusive leisure programmes in Canadian cities

References

• Allison, P.D., 2012. Logistic regression using SAS: theory and application. 2nd ed. Cary, NC: SAS Institute.
   Google Scholar
• Anaby, D., et al., 2013. The effect of the environment on participation of children and youth with disabilities: a scoping review. Disability and rehabilitation, 35 (19), 1589–1598. doi:10.3109/09638288.2012.748840.
   PubMed Web of Science ®Google Scholar
• Baksjøberget, P.E., et al., 2017. Having fun and staying active! Children with disabilities and participation in physical activity: a follow-up study. Physical & occupational therapy in paediatrics, 37 (4), 347–358. doi:10.1080/01942638.2017.1281369.
   PubMed Web of Science ®Google Scholar
• Ball, K., et al., 2015. Addressing the social determinants of inequities in physical activity and sedentary behaviours. Health promotion international, 30 (2), ii8–ii19. doi:10.1093/heapro/dav022.
   Google Scholar
• Borodulin, K., et al., 2016. Socio-demographic and behavioural variation in barriers to leisure-time physical activity. Scandinavian journal of public health, 44 (1), 62–69. doi:10.1177/1403494815604080.
   PubMed Web of Science ®Google Scholar
• Box, G.E.P. and Tidwell, P.W., 1962. Transformation of the independent variables. Technometrics, 4 (4), 531–550. doi:10.1080/00401706.1962.10490038.
   Web of Science ®Google Scholar
• Columna, L., et al., 2017. Parents’ perceptions of physical activity experiences for their families and children with visual impairments. British journal of visual impairment, 35 (2), 88–102. doi:10.1177/0264619617691081.
   Web of Science ®Google Scholar
• Ding, D., et al., 2016. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet, 388 (10051), 1311–1324. doi:10.1016/s0140-6736(16)30383-x.
   PubMed Web of Science ®Google Scholar
• Hosmer, D.W., and Lemeshow, S., 2000. Applied logistic regression. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.
   Google Scholar
• Institut national de santé Publique du Québec (INSPQ). 2016. Deprivation Index from 2016 Canadian Census data. Index of material and social deprivation compiled by the Bureau d’information et d’études en santé des populations (BIESP) [online]. Available from: https://www.inspq.qc.ca/en/information-management-and-analysis/deprivation-index [Accessed 10 Feb 2022].
   Google Scholar
• Mahmood, A., et al., 2019. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. Digital health, 5, 205520761988218. doi:10.1177/2055207619882181
   Web of Science ®Google Scholar
• Mogo, E., et al., 2020. Using a rapid review process to engage stakeholders, inform policy and set priorities for promoting physical activity and leisure participation for children with disabilities in British Columbia. Leisure/Loisir, 44 (2), 225–253. doi:10.1080/14927713.2020.1760121.
   Google Scholar
• Pietilä, M., et al., 2015. Relationships between exposure to urban green spaces, physical activity and self-rated health. Journal of outdoor recreation and tourism, 10, 44–54. doi:10.1016/j.jort.2015.06.006
   Google Scholar
• Rhodes, R.E., et al., 2017. Physical activity: health impact, prevalence, correlates and interventions. Psychology and health, 32 (8), 942–975. doi:10.1080/08870446.2017.1325486.
   PubMed Web of Science ®Google Scholar
• Sallis, J.F. and Glanz, K., 2009. Physical activity and food environments: solutions to the obesity epidemic. The Milbank quarterly, 87, 123–154. doi:10.1111/j.1468-0009.2009.00550.x
   PubMed Web of Science ®Google Scholar
• Shikako, K., et al., 2021. Designing user-centered mobile health initiatives to promote healthy behaviors for children with disabilities: development and usability study. JMIR formative research, 5 (9), e23877. doi:10.2196/preprints.23877.
   Google Scholar
• Shikako-Thomas, K., et al., 2008. Determinants of participation in leisure activities in children and youth with cerebral palsy: a systematic review. Physical and occupation therapy in paediatrics, 28 (2), 155–169. doi:10.1080/01942630802031834.
   PubMedGoogle Scholar
• Shikako-Thomas, K. and the QUALA group, et al., 2015. Are you doing what you want to do? Leisure preferences of adolescents with cerebral palsy. Developmental neurorehabilitation, 18 (4). 234–240. doi:10.3109/17518423.2013.794166.
   PubMed Web of Science ®Google Scholar
• Sit, C.H., et al., 2017. Physical activity and sedentary time among children with disabilities at school. Medicine & science in sports & exercise, 49 (2), 292–297. doi:10.1249/mss.0000000000001097.
   PubMed Web of Science ®Google Scholar
• Sooklall, C., Majnemer, C., and Keiko Thomas, D., 2019. Mobile application community of support for parents of children of disabilities. Master’s thesis. McGill University.
   Google Scholar
• Statistics Canada. 2017. Postal CodeOM Conversion File (PCCF), Reference guide [online]. Available from: https://www150.statcan.gc.ca/n1/pub/92-154-g/92-154-g2017001-eng.htm [Accessed 10 Feb 2022].
   Google Scholar
• Statistics Canada. 2019. Census profile, 2016 census [online]. Available from: https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/index.cfm?Lang=E [Accessed 10 Feb 2022].
   Google Scholar
• Van Cauwenberg, J., et al., 2018. Relationships between neighbourhood physical environmental attributes and older adults’ leisure-time physical activity: a systematic review and meta-analysis. Sports medicine, 48, 1635–1660. doi:10.1007/s40279-018-0917-1
   PubMed Web of Science ®Google Scholar
• Wendel-Vos, W., et al., 2019. Potential environmental determinants of physical activity in adults: a systematic review. Obesity reviews, 8, 425–440. doi:10.1111/j.1467-789X.2007.00370.x
   Google Scholar