Increased Prevalence of Chronic Disease in Back Pain Patients Living in Car-dependent Neighbourhoods in Canada: A Cross-sectional Analysis
Autor: | Darren M. Roffey, Stephen P. Kingwell, Denise C. Wai, Alexandra Stratton, Philippe Phan, Eve C. Tsai, Eugene K. Wai, Amy Zeglinski-Spinney |
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Rok vydání: | 2018 |
Předmět: |
Adult
Male Canada Adolescent Cross-sectional study Physical fitness lcsh:Medicine Walking Comorbidity Chronic disease Body Mass Index Young Adult 03 medical and health sciences Sex Factors 0302 clinical medicine Prevalence Back pain Humans Medicine 030212 general & internal medicine Residence characteristics Neighbourhood (mathematics) Aged Aged 80 and over business.industry lcsh:Public aspects of medicine lcsh:R Age Factors Public Health Environmental and Occupational Health lcsh:RA1-1270 Odds ratio Middle Aged medicine.disease Cross-Sectional Studies Logistic Models Walkability Geographic Information Systems Original Article Female medicine.symptom business human activities 030217 neurology & neurosurgery Demography Cohort study |
Zdroj: | Journal of Preventive Medicine and Public Health, Vol 51, Iss 5, Pp 227-233 (2018) Journal of Preventive Medicine and Public Health |
ISSN: | 2233-4521 1975-8375 |
Popis: | Objectives Chronic diseases, including back pain, result in significant patient morbidity and societal burden. Overall improvement in physical fitness is recommended for prevention and treatment. Walking is a convenient modality for achieving initial gains. Our objective was to determine whether neighbourhood walkability, acting as a surrogate measure of physical fitness, was associated with the presence of chronic disease. Methods We conducted a cross-sectional study of prospectively collected data from a prior randomized cohort study of 227 patients referred for tertiary assessment of chronic back pain in Ottawa, ON, Canada. The Charlson Comorbidity Index (CCI) was calculated from patient-completed questionnaires and medical record review. Using patients' postal codes, neighbourhood walkability was determined using the Walk Score, which awards points based on the distance to the closest amenities, yielding a score from 0 to 100 (0- 50: car-dependent; 50-100: walkable). Results Based on the Walk Score, 134 patients lived in car-dependent neighborhoods and 93 lived in walkable neighborhoods. A multivariate logistic regression model, adjusted for age, gender, rural postal code, body mass index, smoking, median household income, percent employment, pain, and disability, demonstrated an adjusted odds ratio of 2.75 (95% confidence interval, 1.16 to 6.53) times higher prevalence for having a chronic disease for patients living in a car-dependent neighborhood. There was also a significant dose-related association (p=0.01; Mantel-Haenszel chi-square=6.4) between living in car-dependent neighbourhoods and more severe CCI scores. Conclusions Our findings suggest that advocating for improved neighbourhood planning to permit greater walkability may help offset the burden of chronic disease. |
Databáze: | OpenAIRE |
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