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Original Articles
Increased Prevalence of Chronic Disease in Back Pain Patients Living in Car-dependent Neighbourhoods in Canada: A Cross-sectional Analysis
Amy Zeglinski-Spinney, Denise C. Wai, Philippe Phan, Eve C. Tsai, Alexandra Stratton, Stephen P. Kingwell, Darren M. Roffey, Eugene K. Wai
J Prev Med Public Health. 2018;51(5):227-233.   Published online August 10, 2018
DOI: https://doi.org/10.3961/jpmph.18.038
  • 5,252 View
  • 119 Download
  • 2 Crossref
AbstractAbstract PDF
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.
Summary

Citations

Citations to this article as recorded by  
  • Contributions and Limitations Walk Score® in the Context of Walkability: A Scoping Review
    Jennifer Ann Brown, Kimberley D. Curtin, Mathew Thomson, Janice Y. Kung, Candace I. J. Nykiforuk
    Environment and Behavior.2023; 55(6-7): 468.     CrossRef
  • Do Walking-Friendly Built Environments Influence Frailty and Long-Term Care Insurance Service Needs?
    Seigo Mitsutake, Tatsuro Ishizaki, Yuri Yokoyama, Mariko Nishi, Mohammad Javad Koohsari, Koichiro Oka, Shohei Yano, Takumi Abe, Akihiko Kitamura
    Sustainability.2021; 13(10): 5632.     CrossRef
Associations Between Socio-demographic Characteristics and Healthy Lifestyles in Korean Adults: The Result of the 2010 Community Health Survey
So Yeon Ryu, Jong Park, Seong Woo Choi, Mi Ah Han
J Prev Med Public Health. 2014;47(2):113-123.   Published online March 31, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.2.113
  • 11,801 View
  • 120 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives

Several previous studies have found that healthy behaviors substantially reduce non-communicable disease incidence and mortality. The present study was performed to estimate the prevalence of four modifiable healthy behaviors and a healthy lifestyle among Korean adults according to socio-demographic and regional factors.

Methods

We analyzed data from 199 400 Korean adults aged 19 years and older who participated in the 2010 Korean Community Health Survey. We defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and a healthy weight. We calculated the prevalence rates and odds ratios of each healthy behavior and healthy lifestyle according to socio-demographic and regional characteristics.

Results

The prevalence rates were as follows: non-smoking, 75.0% (53.7% in men, 96.6% in women); moderate alcohol consumption, 88.2% (79.7% in men, 96.9% in women); regular walking, 45.0% (46.2% in men, 43.8% in women); healthy weight, 77.4% (71.3% in men, 73.6% in women); and a healthy lifestyle, 25.5% (16.4% in men, 34.6% in women). The characteristics associated with a low prevalence of healthy lifestyle were male gender, younger age (19 to 44 years of age), low educational attainment, married, living in a rural area, living in the Chungcheong, Youngnam, or Gwangwon-Jeju region, and poorer self-rated health.

Conclusions

Further research should be implemented to explore the explainable factors of disparities for socio-demographic and regional characteristics to engage in the healthy lifestyle among adults.

Summary

Citations

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Special Article
Promoting Mobility in Older People
Taina Rantanen
J Prev Med Public Health. 2013;46(Suppl 1):S50-S54.   Published online January 30, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.S.S50
  • 16,922 View
  • 208 Download
  • 86 Crossref
AbstractAbstract PDF

Out-of-home mobility is necessary for accessing commodities, making use of neighborhood facilities, and participation in meaningful social, cultural, and physical activities. Mobility also promotes healthy aging as it relates to the basic human need of physical movement. Mobility is typically assessed either with standardized performance-based tests or with self-reports of perceived difficulty in carrying out specific mobility tasks. Mobility declines with increasing age, and the most complex and demanding tasks are affected first. Sometimes people cope with declining functional capacity by making changes in their way or frequency of doing these tasks, thus avoiding facing manifest difficulties. From the physiological point of view, walking is an integrated result of the functioning of the musculoskeletal, cardio-respiratory, sensory and neural systems. Studies have shown that interventions aiming to increase muscle strength will also improve mobility. Physical activity counseling, an educational intervention aiming to increase physical activity, may also prevent mobility decline among older people. Sensory deficits, such as poor vision and hearing may increase the risk of mobility decline. Consequently, rehabilitation of sensory functions may prevent falls and decline in mobility. To promote mobility, it is not enough to target only individuals because environmental barriers to mobility may also accelerate mobility decline among older people. Communities need to promote the accessibility of physical environments while also trying to minimize negative or stereotypic attitudes toward the physical activity of older people.

Summary

Citations

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JPMPH : Journal of Preventive Medicine and Public Health