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Liang W, Wang Y, Huang Q, Shang B, Su N, Zhou L, Rhodes RE, Baker JS, Duan Y. Adherence to 24-Hour Movement Guidelines Among Chinese Older Adults: Prevalence, Correlates, and Associations With Physical and Mental Health Outcomes. JMIR Public Health Surveill 2024; 10:e46072. [PMID: 38869941 PMCID: PMC11211711 DOI: 10.2196/46072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/28/2024] [Accepted: 05/14/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND It is known that 24-hour movement behaviors, including physical activity (PA), sedentary behavior (SB), and sleep, are crucial components affecting older adults' health. Canadian 24-hour movement guidelines for older adults were launched in 2020, emphasizing the combined role of these 3 movement behaviors in promoting older adults' health. However, research on the prevalence and correlates of guideline adherence and its associations with health-related outcomes is limited, especially among Chinese older adults. OBJECTIVE This study aimed to investigate the prevalence and correlates of meeting 24-hour movement guidelines among Chinese older adults. Furthermore, this study aimed to examine the associations of guideline adherence with older adults' physical and mental health outcomes. METHODS Using a stratified cluster random sampling approach, a total of 4562 older adults (mean age 67.68 years, SD 5.03 years; female proportion: 2544/4562, 55.8%) were recruited from the latest provincial health surveillance of Hubei China from July 25 to November 19, 2020. Measures included demographics, movement behaviors (PA, SB, and sleep), BMI, waist circumference, waist-hip ratio (WHR), percentage body fat (PBF), systolic and diastolic blood pressure, physical fitness, depressive symptoms, and loneliness. Generalized linear mixed models were employed to examine the associations between variables using SPSS 28.0 (IBM Corp). RESULTS Only 1.8% (83/4562) of participants met all 3 movement guidelines, while 32.1% (1466/4562), 3.4% (155/4562), and 66.4% (3031/4562) met the individual behavioral guidelines for PA, SB, and sleep, respectively. Participants who were older, were female, and lived in municipalities with lower economic levels were less likely to meet all 3 movement guidelines. Adhering to individual or combined movement guidelines was associated with greater physical fitness and lower values of BMI, waist circumference, WHR, PBF, depressive symptoms, and loneliness, with the exception of the relationship of SB+sleep guidelines with loneliness. Furthermore, only meeting SB guidelines or meeting both PA and SB guidelines was associated with lower systolic blood pressure. CONCLUSIONS This is the first study to investigate adherence to 24-hour movement guidelines among Chinese older adults with regard to prevalence, correlates, and associations with physical and mental health outcomes. The findings emphasize the urgent need for promoting healthy movement behaviors among Chinese older adults. Future interventions to improve older adults' physical and mental health should involve enhancing their overall movement behaviors and should consider demographic differences.
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Affiliation(s)
- Wei Liang
- School of Physical Education, Shenzhen University, Shenzhen, China
| | - Yanping Wang
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Qian Huang
- Fitness and Health Lab, Hubei Institute of Sport Science, Wuhan, China
| | - Borui Shang
- Department of Social Sciences, Hebei Sports University, Shijiazhuang, China
| | - Ning Su
- School of Physical Education, Shenzhen University, Shenzhen, China
| | - Lin Zhou
- School of Physical Education, Hebei Normal University, Shijiazhuang, China
| | - Ryan E Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Julien Steven Baker
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
| | - Yanping Duan
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China (Hong Kong)
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Koohsari MJ, Oka K, Nakaya T, Vena J, Williamson T, Quan H, McCormack GR. Urban design and cardio-metabolic risk factors. Prev Med 2023; 173:107552. [PMID: 37211251 DOI: 10.1016/j.ypmed.2023.107552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 05/23/2023]
Abstract
Accumulating evidence suggests that the built environment may be associated with cardiovascular disease via its influence on health behaviours. The aim of this study was to estimate the associations between traditional and novel neighbourhood built environment metrics and clinically assessed cardio-metabolic risk factors among a sample of adults in Canada. A total of 7171 participants from Albertas Tomorrow Project living in Alberta, Canada, were included. Cardio-metabolic risk factors were clinically measured. Two composite built environment metrics of traditional walkability and space syntax walkability were calculated. Among men, space syntax walkability was negatively associated with systolic and diastolic blood pressure (b = -0.87, 95% CI -1.43, -0.31 and b = -0.45, 95% CI -0.86, -0.04, respectively). Space syntax walkability was also associated with lower odds of overweight/obese among women and men (OR = 0.93, 95% CI 0.87, 0.99 and OR = 0.88, 95% CI 0.79, 0.97, respectively). No significant associations were observed between traditional walkability and cardio-metabolic outcomes. This study showed that the novel built environment metric based on the space syntax theory was associated with some cardio-metabolic risk factors.
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Affiliation(s)
- Mohammad Javad Koohsari
- School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan; Faculty of Sport Sciences, Waseda University, Japan; School of Exercise and Nutrition Sciences, Deakin University, Australia.
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Japan
| | - Tomoki Nakaya
- Graduate School of Environmental Studies, Tohoku University, Japan.
| | - Jennifer Vena
- Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
| | - Tyler Williamson
- Centre for Health Informatics and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
| | - Hude Quan
- Centre for Health Informatics and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.
| | - Gavin R McCormack
- Faculty of Sport Sciences, Waseda University, Japan; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada; Faculty of Kinesiology, University of Calgary, Canada; School of Architecture, Planning and Landscape, University of Calgary, Canada.
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Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III. SSM Popul Health 2022; 19:101158. [PMID: 35813186 PMCID: PMC9260622 DOI: 10.1016/j.ssmph.2022.101158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 11/25/2022] Open
Abstract
Objective To examine associations between neighborhood built environment (BE) variables, residential property values, and longitudinal 1- and 2-year changes in body mass index (BMI). Methods The Seattle Obesity Study III was a prospective cohort study of adults with geocoded residential addresses, conducted in King, Pierce, and Yakima Counties in Washington State. Measured heights and weights were obtained at baseline (n = 879), year 1 (n = 727), and year 2 (n = 679). Tax parcel residential property values served as proxies for individual socioeconomic status. Residential unit and road intersection density were captured using Euclidean-based SmartMaps at 800 m buffers. Counts of supermarket (0 versus. 1+) and fast-food restaurant availability (0, 1–3, 4+) were measured using network based SmartMaps at 1600 m buffers. Density measures and residential property values were categorized into tertiles. Linear mixed-effects models tested whether baseline BE variables and property values were associated with differential changes in BMI at year 1 or year 2, adjusting for age, gender, race/ethnicity, education, home ownership, and county of residence. These associations were then tested for potential disparities by age group, gender, race/ethnicity, and education. Results Road intersection density, access to food sources, and residential property values were inversely associated with BMI at baseline. At year 1, participants in the 3rd tertile of density metrics and with 4+ fast-food restaurants nearby showed less BMI gain compared to those in the 1st tertile or with 0 restaurants. At year 2, higher residential property values were predictive of lower BMI gain. There was evidence of differential associations by age group, gender, and education but not race/ethnicity. Conclusion Inverse associations between BE metrics and residential property values at baseline demonstrated mixed associations with 1- and 2-year BMI change. More work is needed to understand how individual-level sociodemographic factors moderate associations between the BE, property values, and BMI change. Strong, inverse cross-sectional relationships between the built environment, residential property values (a proxy for individual socioeconomic status), and measured BMI were observed. Measures of the built environment and residential property values showed modest and inconsistent associations with 1- and 2-year BMI change. There was suggestive evidence that age may moderate the association between urban density and 1- and 2-year BMI change while education may moderate the association between residential property values and 2-year BMI change.
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Lang IM, Antonakos CL, Judd SE, Colabianchi N. A longitudinal examination of objective neighborhood walkability, body mass index, and waist circumference: the REasons for Geographic And Racial Differences in Stroke study. Int J Behav Nutr Phys Act 2022; 19:17. [PMID: 35151322 PMCID: PMC8841052 DOI: 10.1186/s12966-022-01247-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Studies have shown neighborhood walkability is associated with obesity. To advance this research, study designs involving longer follow-up, broader geographic regions, appropriate neighborhood characterization, assessment of exposure length and severity, and consideration of stayers and movers are needed. Using a cohort spanning the conterminous United States, this study examines the longitudinal relationship between a network buffer-derived, duration-weighted neighborhood walkability measure and two adiposity-related outcomes.
Methods
This study included 12,846 Black/African American and White adults in the REasons for Geographic And Racial Differences in Stroke study. Body mass index (BMI) and waist circumference (WC) were assessed at baseline and up to 13.3 years later (M (SD) = 9.4 (1.0) years). BMI and WC were dichotomized. Walk Score® was duration-weighted based on time at each address and categorized as Very Car-Dependent, Car-Dependent, Somewhat Walkable, Very Walkable, and Walker’s Paradise. Unadjusted and adjusted logistic regression models tested each neighborhood walkability-adiposity association. Adjusted models controlled for demographics, health factors, neighborhood socioeconomic status, follow-up time, and either baseline BMI or baseline WC. Adjusted models also tested for interactions. Post-estimation Wald tests examined whether categorical variables had coefficients jointly equal to zero. Orthogonal polynomial contrasts tested for a linear trend in the neighborhood walkability-adiposity relationships.
Results
The odds of being overweight/obese at follow-up were lower for residents with duration-weighted Walk Score® values in the Walker’s Paradise range and residents with values in the Very Walkable range compared to residents with values in the Very Car-Dependent range. Residents with duration-weighted Walk Score® values classified as Very Walkable had significantly lower odds of having a moderate-to-high risk WC at follow-up relative to those in the Very Car-Dependent range. For both outcomes, the effects were small but meaningful. The negative linear trend was significant for BMI but not WC.
Conclusion
People with cumulative neighborhood walkability scores in the Walker’s Paradise range were less likely to be overweight/obese independent of other factors, while people with scores in the Very Walkable range were less likely to be overweight/obese and less likely to have a moderate-to-high risk WC. Addressing neighborhood walkability is one approach to combating obesity.
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Buszkiewicz JH, Bobb JF, Hurvitz PM, Arterburn D, Moudon AV, Cook A, Mooney SJ, Cruz M, Gupta S, Lozano P, Rosenberg DE, Theis MK, Anau J, Drewnowski A. Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain. Int J Obes (Lond) 2021; 45:1914-1924. [PMID: 33976378 PMCID: PMC8592117 DOI: 10.1038/s41366-021-00836-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 04/23/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. METHODS Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. RESULTS Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kg at 1 year (95% CI: 0.03, 0.10); 0.64 kg at 3 years (95% CI: 0.59, 0.68), and 0.95 kg at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5-years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kg. CONCLUSIONS Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.
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Affiliation(s)
- James H. Buszkiewicz
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, 98195-3410, USA,Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Jennifer F. Bobb
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Philip M Hurvitz
- Urban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, 4333 Brooklyn Ave NE, Seattle, Washington 98195, USA,Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, 98195-3410, USA
| | - David Arterburn
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Anne Vernez Moudon
- Urban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, 4333 Brooklyn Ave NE, Seattle, Washington 98195, USA
| | - Andrea Cook
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Stephen J. Mooney
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Maricela Cruz
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Shilpi Gupta
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, 98195-3410, USA,Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Paula Lozano
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Dori E. Rosenberg
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Mary Kay Theis
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Jane Anau
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave. Suite 1600, Seattle, WA, 98101, USA
| | - Adam Drewnowski
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, 98195-3410, USA,Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
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The relationship between walk score® and perceived walkability in ultrahigh density areas. Prev Med Rep 2021; 23:101393. [PMID: 34123713 PMCID: PMC8173305 DOI: 10.1016/j.pmedr.2021.101393] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/04/2021] [Accepted: 04/30/2021] [Indexed: 01/14/2023] Open
Abstract
Walk Score® was positively correlated with several perceived walkable environmental attributes. There was a large correlation between Walk Score® and access to shops. There was a medium correlation between Walk Score® and overall perceived walkability.
Walk Score® is a free web-based tool that provides a walkability score for any given location. A limited number of North American studies have found associations between Walk Score® and perceived built environment attributes, yet it remains unknown whether similar associations exist in Asian countries. The study’s objective is to examine the covariate-adjusted correlations between the Walk Score® metric and measures of the perceived built environment in ultrahigh density areas of Japan. Cross-sectional data were obtained from a randomly selected sample of adult residents living in two Japanese urban localities. There was a large correlation between Walk Score® and access to shops (0.58; p < 0.001). There were medium correlations between Walk Score® and population density (0.38; p < 0.001), access to public transport (0.34; p < 0.001), presence of sidewalks (0.41; p < 0.001), and access to recreational facilities (0.37; p < 0.001), and there was a small correlation between Walk Score® and presence of bike lanes (0.16; p < 0.001). There was a small negative correlation between Walk Score® and traffic safety (-0.13; p < 0.001). There was a medium correlation between Walk Score® and overall perceived walkability (0.48; p < 0.001). This study's findings highlight that Walk Score® was correlated with several perceived walkable environment attributes in the context of ultrahigh density areas in Asia.
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Baruki SB, de Lima Montebello MI, Pazzianotto-Forti EM. Physical training in outdoor fitness gym improves blood pressure, physical fitness and quality of life of hypertensive patients: randomized controlled trial. J Sports Med Phys Fitness 2021; 62:997-1005. [PMID: 33619948 DOI: 10.23736/s0022-4707.21.10942-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Hypertension is risk factor for cardiovascular diseases, which is the leading cause of death worldwide. In addition to drug treatment, exercise is an important non-drug resource for the control of hypertension in function by hypotension post exercise. The study evaluated the effects of two physical exercise programs in outdoor fitness gym (OFG). METHODS Twenty-nine hypertensive adults were randomized to one of two physical training group, utilizing a circuit (CTG) (n=10) or sets (STG) (n= 10), or a control group (CG) (n=9). The CTG and STG performed 16-week of physical exercise, at OFG. The CG did not participate in a physical exercise program. After 16-weeks, all participants were evaluated of anthropometric measurements, physical fitness (6-Minute Walk Test; Sit-to-Stand; Sit-and-Reach); systolic blood pressure (SBP) and diastolic blood pressure (DBP); and quality of life (Short-Form 36). RESULTS There was reduction of neck and hip circumference in CTG; body mass index and body mass in STG. Physical fitness increased in STG and CTG. The greater flexibility was observed in STG compared to CG (p=0.042) and CTG (p=0.037). SBP and DBP decreased in CTG and STG. Reduction in DBP was more effective in STG compared to CTG (p = 0.031). Quality of life improved in total score in CTG (p=0.021); and in mental control in STG, compared to CTG (p=0.036). CONCLUSIONS Both interventions improved physical fitness, blood pressure, and quality of life, suggesting that physical training in OFG can promote health in adults with hypertension.
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Affiliation(s)
- Silvia B Baruki
- Faculty of Health Sciences, Post-Graduate Program in Human Movement Sciences, Methodist University of Piracicaba (UNIMEP), Piracicaba, SP, Brazil.,Faculty of Physical Education, Federal University of Mato Grosso do Sul (UFMS), Corumbá, MS, Brazil
| | - Maria Imaculada de Lima Montebello
- Faculty of Health Sciences, Post-Graduate Program in Human Movement Sciences, Faculty of Management and Business, Methodist University of Piracicaba (UNIMEP), Piracicaba, SP, Brazil
| | - Eli M Pazzianotto-Forti
- Faculty of Health Sciences, Graduate Program in Physiotherapy, Post-Graduate Program in Human Movement Sciences, Methodist University of Piracicaba (UNIMEP), Piracicaba, SP, Brazil -
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Kaczynski AT, Hughey SM, Stowe EW, Wende ME, Hipp JA, Oliphant EL, Schipperijn J. ParkIndex: Validation and application of a pragmatic measure of park access and use. Prev Med Rep 2020; 20:101218. [PMID: 33354490 PMCID: PMC7744752 DOI: 10.1016/j.pmedr.2020.101218] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/08/2020] [Accepted: 09/25/2020] [Indexed: 11/16/2022] Open
Abstract
Composite metrics integrating park availability, features, and quality for a given address or neighborhood are lacking. The purposes of this study were to describe the validation, application, and demonstration of ParkIndex in four diverse communities. This study occurred in Fall 2018 in 128 census block groups within Seattle(WA), Brooklyn(NY), Raleigh(NC), and Greenville County(SC). All parks within a half-mile buffer were audited to calculate a composite park quality score, and select households provided data about use of proximal parks via an online, map-based survey. For each household, the number of parks, total park acreage, and average park quality score within one half-mile were calculated using GIS. Logistic regression was used to identify a parsimonious model predicting park use. ParkIndex values (representing the probability of park use) were mapped for all study areas and after scenarios involving the addition and renovation/improvement of parks. Out of 360 participants, 23.3% reported visiting a park within the past 30 days. The number of parks (OR = 1.36, 95% CI = 1.15-1.62), total park acreage (OR = 1.13, 95% CI = 1.07-1.19), and average park quality score (OR = 1.04, 95% CI = 1.01-1.06) within one half-mile were all associated with park use. Composite ParkIndex values across the study areas ranged from 0 to 100. Hypothetical additions of or renovations to study area parks resulted in ParkIndex increases of 22.7% and 19.2%, respectively. ParkIndex has substantial value for park and urban planners, citizens, and researchers as a common metric to facilitate awareness, decision-making, and intervention planning related to park access, environmental justice, and community health.
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Affiliation(s)
- Andrew T. Kaczynski
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, United States
| | - S. Morgan Hughey
- Department of Health and Human Performance, College of Charleston, United States
| | - Ellen W. Stowe
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
| | - Marilyn E. Wende
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
| | - J. Aaron Hipp
- Department of Parks, Recreation, and Tourism Management, NC State University, United States
- Center for Geospatial Analytics, NC State University, United States
| | - Elizabeth L. Oliphant
- Department of Parks, Recreation, and Tourism Management, NC State University, United States
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Nichani V, Turley L, Vena JE, McCormack GR. Associations between the neighbourhood characteristics and body mass index, waist circumference, and waist-to-hip ratio: Findings from Alberta's Tomorrow Project. Health Place 2020; 64:102357. [PMID: 32479266 DOI: 10.1016/j.healthplace.2020.102357] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 04/27/2020] [Accepted: 05/11/2020] [Indexed: 12/19/2022]
Abstract
This study estimated the associations between neighbourhood characteristics and self-reported body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) risk categories among Canadian men and women. Using data from the Alberta's Tomorrow Project (n = 14,550), we estimated 3- and 4-way intersections, business destinations, population count, and normalized difference vegetation index (NDVI) within a 400 m radius of participant's home. Intersections, business destinations, and population count (z-scores) were summed to create a walkability score. Four-way intersections and walkability were negatively associated with overweight and obesity. Walkability was negatively associated with obesity. NDVI was negatively associated with high-risk WHR and population count and walkability positively associated with high-risk WHR. Among men, population count and walkability were negatively associated with obesity, and business destinations and walkability were negatively associated with overweight and obesity. Among women, NDVI was negatively associated with overweight (including obesity), obesity, and high-risk WC. Interventions promoting healthy weight could incorporate strategies that take into consideration local built environment characteristics.
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Affiliation(s)
- Vikram Nichani
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
| | - Liam Turley
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
| | - Jennifer E Vena
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada; Cancer Control Alberta, Alberta Health Services, 1820 Richmond Road SW, Calgary, Alberta, T2T 5C7, Canada.
| | - Gavin R McCormack
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
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Kim EJ, Kim J, Kim H. Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17072178. [PMID: 32218233 PMCID: PMC7177876 DOI: 10.3390/ijerph17072178] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 03/24/2020] [Accepted: 03/24/2020] [Indexed: 11/23/2022]
Abstract
A walkable environment is a crucial factor for promoting active transportation. The purpose of this study is to examine the association between neighborhood walkability and active transportation for noncommuting purposes (leisure and shopping) in Seoul, Korea. The Walkability Score is used as a measure of walkability, and a multilevel logistic regression model is employed to measure the odds of active transportation (i.e., walking and cycling; nonmotorized trips) at two levels: individual (level 1) and neighborhood (level 2). The results of the study showed that the Walkability Score was significantly correlated with higher odds of active transportation in shopping models. Specifically, every one-point increase in the Walkability Score was associated with 1.5%–1.8% higher odds of active transportation in shopping models. However, there was no significant correlation between the two in leisure models. Meanwhile, individual characteristics associated with the odds of active transportation differed in the leisure and shopping models. Older age was positively correlated with the odds of active transportation in the leisure model, while females showed a positive correlation in the shopping model. Based on the study, urban and transportation planners can recommend urban policies to promote active transportation in an urban setting.
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Affiliation(s)
- Eun Jung Kim
- Department of Urban Planning, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea; (E.J.K.); (J.K.)
| | - Jiyeong Kim
- Department of Urban Planning, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea; (E.J.K.); (J.K.)
| | - Hyunjung Kim
- Department of Civil and Environmental Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea
- Correspondence: ; Tel.: +82-2-880-8903
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McCormack GR, Koohsari MJ, Oka K, Friedenreich CM, Blackstaffe A, Alaniz FU, Farkas B. Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice. JOURNAL OF SPORT AND HEALTH SCIENCE 2019; 8:532-539. [PMID: 31720064 PMCID: PMC6834992 DOI: 10.1016/j.jshs.2019.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 03/15/2019] [Accepted: 03/22/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Cross-sectional studies provide useful insight about the associations between the built environment and physical activity (PA), particularly when reasons for neighborhood choice are considered. Our study analyzed the relationship between levels of weekly transportation and leisure PA among 3 neighborhood designs, statistically adjusting for sociodemographic characteristics and reasons for neighborhood choice. METHODS A stratified random sample of adults (age ≥20 years) living in Calgary (Canada) neighborhoods with different neighborhood designs (grid, warped-grid, and curvilinear) and socioeconomic status completed a self-administered questionnaire capturing PA, sociodemographic characteristics, and reasons for neighborhood choice (response rate = 10.1%; n = 1023). Generalized linear models estimated associations between neighborhood design and transportation and leisure PA outcomes (participation (any vs. none) and volume (metabolic equivalent: h/week)), adjusting for neighborhood socioeconomic status, sociodemographic characteristics (gender, age, ethnicity, education, household income, marital status, children, vehicle access, dog ownership, and injury), and reasons for neighborhood choice (e.g., proximity and quality of recreational and utilitarian destinations, proximity to work, highway access, aesthetics, and sense of community). RESULTS Overall, 854 participants had resided in their neighborhood for at least 12 months and provided complete data. Compared with those living in curvilinear neighborhoods, grid neighborhood participants had greater odds (p < 0.05) of participating in any transportation walking (odds ratio (OR) = 2.17), transportation and leisure cycling (OR = 2.39 and OR = 1.70), active transportation (OR = 2.16), and high-intensity leisure PA (≥6 metabolic equivalent; OR = 1.74), respectively. There were no neighborhood differences in the volume of any transportation or leisure PA undertaken. Adjustment for neighborhood selection had minimal impact on the statistical or practical importance of model estimates. CONCLUSION Neighborhood design is associated with PA patterns in adults, independent of reasons for neighborhood choice and sociodemographic factors.
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Affiliation(s)
- Gavin R. McCormack
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 4Z6, Canada
- School of Architecture, Planning and Landscape, University of Calgary, Calgary, Alberta, T2N 4N1, Canada
| | - Mohammad Javad Koohsari
- Faculty of Sport Sciences, Waseda University, Tokyo, 169-8050, Japan
- Behavioural Epidemiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, 3000, Australia
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Tokyo, 169-8050, Japan
| | - Christine M. Friedenreich
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 4Z6, Canada
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada
| | - Anita Blackstaffe
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 4Z6, Canada
| | - Francisco Uribe Alaniz
- School of Architecture, Planning and Landscape, University of Calgary, Calgary, Alberta, T2N 4N1, Canada
| | - Brenlea Farkas
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 4Z6, Canada
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O'Brien GA, Ross NA, Strachan IB. The heat penalty of walkable neighbourhoods. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2019; 63:429-433. [PMID: 30680624 DOI: 10.1007/s00484-018-01663-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 11/03/2018] [Accepted: 12/17/2018] [Indexed: 06/09/2023]
Abstract
"Walkability" or walking-friendliness is generally considered a favourable attribute of a neighbourhood that supports physical activity and improves health outcomes. Walkable neighbourhoods tend to have high-density infrastructure and relatively high amounts of concrete and pavement for sidewalks and streets, all of which can elevate local urban temperatures. The objective of this study was to assess whether there is a "heat penalty" associated with more walkable neighbourhoods in Montréal, Québec, Canada, using air temperature measurements taken in real time at street level during a heat event. The mean temperature of "Car-Dependent" neighbourhoods was 26.2 °C (95% CI 25.8, 26.6) whereas the mean temperature of "Walker's Paradise" neighbourhoods was 27.9 °C (95% CI 27.8, 28.1)-a difference of 1.7 °C (95% CI 1.3, 2.0). There was a strong association between higher walkability of Montréal neighbourhoods and elevated temperature (r = 0.61, p < 0.01); suggestive of a heat penalty for walkable neighbourhoods. Planning solutions that support increased walking-friendliness of neighbourhoods should consider simultaneous strategies to mitigate heat to reduce potential health consequences of the heat penalty.
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Affiliation(s)
- Grace A O'Brien
- Department of Geography, McGill University, Montréal, QC, Canada
| | - Nancy A Ross
- Department of Geography, McGill University, Montréal, QC, Canada
| | - Ian B Strachan
- Department of Natural Resource Sciences, McGill University, 21111 Lakeshore Rd., Ste Anne de Bellevue, QC, H9X 3V9, Canada.
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