Walk Score and objectively measured physical activity within a national cohort

The relationships between the campus built environment and walking activity

Despite the gradual development of students' sedentary habits and associated health problems, only a few studies have extensively and systematically measured campus built environments (CBE) and their impact on street walking activity. This study explores the association between CBEs and pedestrian volume (PV). Comprehensive questionnaires, field audits, and GIS were used to measure the CBE variables and PV of 892 street segments on eight Chinese campuses in Tianjin. We used negative binomial regression models without spatial autocorrelations to investigate the relationship between the CBEs and PV. The findings indicated that campus Walk Score, facility and residential land ratio, campus design qualities, sidewalk conditions, street amenities, and other streetscape features were positively associated with PV. This study presents implications for campus research and planning practices in designing a pedestrian-friendly, sustainable, and healthy campus.

Neighborhood Resources and Health Outcomes Among Stroke Survivors in a Population-Based Cohort

BACKGROUND

Stroke survivors believe neighborhood resources such as community centers are beneficial; however, little is known about the influence of these resources on stroke outcomes. We evaluated whether residing in neighborhoods with greater resource density is associated with favorable post-stroke outcomes.

METHODS AND RESULTS

We included Mexican American and non-Hispanic White stroke survivors from the Brain Attack Surveillance in Corpus Christi project (2009-2019). The exposure was density of neighborhood resources (eg, community centers, restaurants, stores) within a residential census tract at stroke onset. Outcomes included time to death and recurrence, and at 3 months following stroke: disability (activities of daily living/instrumental activities of daily living), cognition (Modified Mini-Mental State Exam), depression (Patient Health Questionnaire-8), and quality of life (abbreviated Stroke-Specific Quality of Life scale). We fit multivariable Cox regression and mixed linear models. We considered interactions with stroke severity, ethnicity, and sex. Among 1786 stroke survivors, median age was 64 years (interquartile range, 56-73), 55% men, and 62% Mexican American. Resource density was not associated with death, recurrence, or depression. Greater resource density (75th versus 25th percentile) was associated with more favorable cognition (Modified Mini-Mental State Exam mean difference=0.838, 95% CI=0.092, 1.584) and among moderate-severe stroke survivors, with more favorable functioning (activities of daily living/instrumental activities of daily living=-0.156 [95% CI, -0.284 to 0.027]) and quality of life (abbreviated Stroke-Specific Quality of Life scale=0.194 [95% CI, 0.029-0.359]).

CONCLUSIONS

We observed associations between greater resource density and cognition overall and with functioning and quality of life among moderate-severe stroke survivors. Further research is needed to confirm these findings and determine if neighborhood resources may be a tool for recovery.

The Association between Neighborhood Walkability and Physical Activity in a Behavioral Weight Loss Trial Testing the Addition of Remotely Delivered Feedback Messages to Self-Monitoring

Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB (n = 251) or SM alone (n = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability via Walk Score (low [<50] vs. high [≥50]), moderate to vigorous PA (MVPA) and step count via Fitbit Charge 2™, and weight via smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA.

Cumulative Experience of Neighborhood Walkability and Change in Weight and Waist Circumference in REGARDS

Neighborhood walkability-features of the built environment that promote pedestrian activity-has been associated with greater physical activity and lower body mass index (BMI; calculated as weight (kg)/height (m)2) among neighborhood residents. However, much of the literature has been cross-sectional and only a few cohort studies have assessed neighborhood features throughout follow-up. Using data from the Reasons for Geographic and Racial Differences in Stroke Study (2003-2016) and a neighborhood walkability index (NWI) measured annually during follow-up, we assessed whether the cumulative experience of neighborhood walkability (NWI-years) predicted BMI and waist circumference after approximately 10 years of follow-up, controlling for these anthropometric measures at enrollment. Analyses were adjusted for individual-level sociodemographic covariates and the cumulative experience of neighborhood poverty rate and neighborhood greenspace coverage. Almost a third (29%) of participants changed address at least once during follow-up. The first change of residence, on average, brought the participants to neighborhoods with higher home values and lower NWI scores than their originating neighborhoods. Compared with those having experienced the lowest quartile of cumulative NWI-years, those who experienced the highest quartile had 0.83 lower BMI (95% confidence interval, -1.5, -0.16) and 1.07-cm smaller waist circumference (95% confidence interval, -1.96, -0.19) at follow-up. These analyses provide additional longitudinal evidence that residential neighborhood features that support pedestrian activity are associated with lower adiposity.

Moving to an Activity-Friendly Community Can Increase Physical Activity

BACKGROUND

Creating activity-friendly communities (AFCs) is an important strategy to increase physical activity (PA). While cross-sectional links between community environments and PA are well documented, their causal relationships remain insufficiently explored.

METHODS

Using the accelerometer and survey data collected from adults who moved to an AFC (cases) and similar non-AFC-residing adults who did not move (comparisons), this pre-post, case-comparison study examines if moving to an AFC increases PA. Data came from 115 participants (cases = 37, comparisons = 78) from Austin, Texas, who completed 2 waves of 1-weeklong data collection. Difference-in-difference analyses and fixed-effect models were used to test the significance of the pre-post differences in moderate-to-vigorous PA (MVPA) between cases and comparisons, for the full sample and the subsample of 37 pairs matched in key covariates using the Propensity Score Matching method.

RESULTS

Average treatment effect generated based on Propensity Score Matching and difference-in-difference showed that moving to this AFC led to an average of 10.88 additional minutes of daily MVPA (76.16 weekly minutes, P = .015). Fixed-effect models echoed the result with an increase of 10.39 minutes of daily MVPA after moving to the AFC. We also found that case participants who were less active at baseline and had higher income increased their MVPA more than their counterparts.

CONCLUSIONS

This study showed that, among our study sample, moving to an AFC increased residents' PA significantly when compared to their premove level and the comparison group. This causal evidence suggests the potential of AFCs as sustainable interventions for PA promotion.

The effect of neighborhood walkability on changes in physical activity and sedentary behavior during a 12-week pedometer-facilitated intervention

BACKGROUND

Pedometer-facilitated interventions encourage physical activity via the accumulation of steps. Mixed evidence suggests that neighborhood walkability might influence the effectiveness of physical activity interventions, including pedometer-facilitated interventions. Our study investigated the moderating effect of neighborhood walkability on immediate (4-week) and short-term (12-week) changes in self-reported neighborhood-specific leisure and transportation walking, leisure-based moderate and vigorous-intensity physical activity, and leisure-based screen time during a pedometer-facilitated intervention (UWALK).

METHODS

This quasi-experiment undertaken in Calgary (Canada) compared behavior changes during the 12-week intervention between two neighborhood groups classified as 'walkable' or 'car dependent' based on Walk Score®. Of the 573 volunteers (adults in the contemplation and preparation stages of physical activity behavior change), 466 participated in UWALK. Surveys captured sociodemographic characteristics, perceived neighborhood walkability, neighborhood preferences, motivation, physical activity and screen-based leisure. Covariate-adjusted linear mixed models estimated the differences in physical activity and leisure screen time between the neighborhood walkability groups at baseline, 4-weeks, and 12-weeks.

RESULTS

UWALK participants included mostly females (83%) and had an average age of 49.2 years. Weekly minutes of walking for transport inside the neighborhood was higher (p < .001) among participants from walkable versus car dependent neighborhoods at baseline (42.5 vs. 21.1), 4-weeks (81.2 vs. 48.2), and 12-weeks (87.2 vs. 48.0). Regardless of neighborhood walkability, all physical activity outcomes were higher and leisure screen time lower at 4-weeks and 12-weeks compared with baseline. We found no significant neighborhood group by time interactions.

CONCLUSIONS

Pedometer-facilitated interventions may be effective for supporting short-term changes in physical activity and sedentary behavior even among adults residing in low walkable neighborhoods.

Differential Effects of a Global Public Health Crisis on Physical Activity: Evidence From a Statewide Survey From the United States

AIM

We aimed to identify how the COVID-19 lockdown affected changes, including the potential for longer term sustained changes, in physical activity, as compared to immediately prior to the pandemic.

BACKGROUND

Physical activity's significant role in overall health is known to be influenced by the surrounding environment, such as one's neighborhood, prompting this study of physical activity and its relationship with individual-level and neighborhood-level factors within the pandemic timeline.

METHODS

A statewide online survey assessed adults' self-reported weekly minutes of moderate-to-vigorous physical activity (MVPA) comparing a typical week immediately prior to the pandemic and during the pandemic (prewidespread vaccination) using negative binomial models.

RESULTS

Overall, MVPA decreased during the pandemic, though the decrease was driven largely by the reduction in MVPA outside one's neighborhood. In contrast, MVPA done within one's neighborhood increased over time. This change in MVPA done within one's neighborhood was not uniform across several characteristics including income level favoring those with the highest income (p < .05) and race/ethnicity favoring those self-reporting as non-Hispanic White (p < .05). While several factors, including higher Walk Scores, were associated with higher levels of MVPA without evidence of change over time, evidence of a differential effect over time was seen for other key indicators of social and structural determinants of health including income and race/ethnicity.

CONCLUSIONS

This study can add to the existing literature surrounding not only COVID-19 but also neighborhood built environmental research seeking to identify factors associated with changes in MVPA, a known indicator of overall health and health-related outcomes.

Impact of neighbourhood walkability on weekly walking minutes among adults with visual impairments: A preliminary study

Weekly and consistent physical activity can help minimize the risk of preventable disease and improve mental health and cognitive function among adults. Despite these benefits, adults with visual impairments tend to not meet physical activity recommendations. The purpose of this preliminary study was to examine how neighbourhood walk score (walkability) is associated with weekly walking minutes in adults with visual impairments. Participants were recruited from two visual impairment–related listservs in the United States. A total of 88 participants (aged 22–85 years; 78% female) were included. Participants completed an online survey including demographic, walking duration, and zip code questions. Linear regression analyses were performed to determine whether there were significant associations between walkability and weekly walking minutes. Walkability scores were not significantly related to walking minutes per week ( p = .84), but age was negatively associated with walking minutes per week (β = −.16), holding other factors constant. Neighbourhood walkability was not significantly associated with walking minutes per week among adults with visual impairments in this study. As these adults age, the amount of walking decreased. Future research in this line of inquiry should expand to include other variables that may influence the relationship between walkability and walking minutes per week and examine the barriers to physical activity among individuals with visual impairments.

How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review

Background

Walking is an essential activity for everyone and for older adults in particular, given that it is the most accessible form of physical activity and one of the healthiest transportation modes. Understanding how walkability (the potential of the environment to enable and/or encourage walking) has been objectively measured and analyzed for older adults is critical to create more inclusive, healthy, and sustainable environments and to promote healthy aging. Despite the numerous reviews on physical activity among older adults and its relationship with the built environment, the literature still lacks comparison reviews focusing specifically on objective operationalizations of walkability for older adults vs. the general population.

Methods

We conducted a systematic review of 146 empirical studies that measured walkability objectively in relation to walking-related outcomes. We compared studies focused on older adults (n = 24) and the general population (n = 122). Content analysis included the characteristics of the study design, walkability measures, spatial extent, and associations found between walkability and walking-related outcomes.

Results

In both groups of publications, the majority of studies were conducted in the US, Canada, and Europe, and largely in high-income countries. They were mostly published in health-related journals and used cross-sectional designs, operationalized walkability by using indexes, employed self-reported measures for walking-related outcomes, and found positive associations between walkability and walking outcomes. However, we observed some differences among studies focusing on older adults. Compared to studies focusing on the general population, a larger proportion of studies on older adults was conducted in the Middle East and Asia, and they used longitudinal designs, mixed methods to measure walking-related outcomes, variables related with land-use characteristics, safety from traffic and crime, and greenery, and a larger proportion found positive, as well as no associations between walkability and walking-related outcomes.

Conclusion

Although there is a promising increase in interest in older adults-focused walkability studies in the last decade, there is still a need for more studies focusing on different settings, using wider spatial extents, longitudinal designs, objective or mixed methods to collect outcome data, and specific variables and/or specially created indexes for older adults and for settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03233-x.

The Relationship Between Environmental Exposures and Post-Stroke Physical Activity

INTRODUCTION

Post-stroke physical activity has widespread health benefits. Environmental exposures may shape post-stroke physical activity behavior. This study investigates the relationships between environmental exposures and post-stroke physical activity.

METHODS

Stroke survivors (n=374) from a cohort of Black and White adults with post-stroke accelerometer data (2009-2013) were eligible for this study. Participants' home addresses were linked with secondary data to capture environmental characteristics, including annual density of neighborhood resources (e.g., parks, physical activity facilities, and intellectual stimulation destinations), 2010 neighborhood SES, 2010 neighborhood crime, and daily information on extremely cold days. Post-stroke light physical activity and moderate-to-vigorous physical activity were captured using accelerometers over a 7-day period. Linear regression and 2-part/hurdle models were used to estimate the relationship between the density of neighborhood resources with light physical activity and with moderate-to-vigorous physical activity, respectively. Analyses were conducted in 2021.

RESULTS

A 10% increase in the number of extremely cold days was associated with 6.37 fewer minutes of daily light physical activity (95% CI= -11.37, -1.37). A 1-SD increase in neighborhood SES was associated with greater odds (OR=1.10, 95% CI=1.02, 1.19) of doing any moderate-to-vigorous physical activity. Among participants obtaining any moderate-to-vigorous physical activity, a 1-unit (count/km²) increase in destinations for intellectual stimulation was associated with 0.99 (95% CI=0.02, 1.97) more minutes of daily moderate-to-vigorous physical activity. All other environmental exposures were not associated with post-stroke light physical activity or moderate-to-vigorous physical activity.

CONCLUSIONS

Environmental exposures may facilitate physical activity participation among stroke survivors. This study found that weather, neighborhood SES, and proximity to destinations for intellectual stimulation were associated with physical activity over and above individual factors.

Objectively-measured out-of-home behavior and physical activity in rural older adults

This cross-sectional study investigated the association of out-of-home behavior measured by global positioning system (GPS) and amounts of physical activity. Rural older adults aged ≥ 65 years (n = 133) participated in this study. Daily step count and physical activity level were measured using an accelerometer. We monitored out-of-home behavior using a GPS sensor and calculated two indicators: out-of-home time and number of nodes (places) visited per day. In results, only the number of nodes visited was significantly associated with step count (B coefficient = 1,324; 95% CI = 622 to 2,026) and physical activity level (B coefficient = 0.05; 95% CI = 0.02 to 0.09) in the fully-adjusted model, while out-of-home time was not. A greater number of nodes visited, rather than out-of-home time, was associated with higher amounts of physical activity in older adults.

Development of an objectively measured walkability index for the Netherlands

Background

Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations.

Methods

Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18–65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex.

Results

In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1–9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index’s association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36–49 years) compared to young (18–35 years old) and older adults (50–65 years old).

Conclusions

The walkability index was cross-sectionally associated with Dutch adult’s walking behaviours, indicating its validity for further use in research.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01270-8.

Objectively measured physical activity was not associated with neighborhood walkability attributes in community-dwelling patients with stroke

Although the built environment may affect physical activity, there is little evidence on how neighborhood walkability attributes influence post-stroke physical activity. This study aimed to explore associations between objectively measured physical activity and neighborhood walkability attributes in community-dwelling patients with stroke. This cross-sectional study recruited patients who could ambulate outside free of assistance. We assessed objectively measured physical activity comprising the number of steps taken and time spent in moderate-to-vigorous physical activity (MVPA) with an accelerometer. Neighborhood walkability attributes were evaluated using the Walk Score. Multiple linear regression analyses were used to determine whether the Walk Score was independently associated with the number of steps taken or MVPA. Eighty participants with a mean age of 65.9 ± 11.1 years were included. The participants took an average of 5900.6 ± 2947.3 steps/day and spent an average of 19.7 ± 21.7 min/day in MVPA. The mean Walk Score was 71.4 ± 17.2. Multiple linear regression analyses showed that no significant associations were found between the Walk Score and the number of steps taken or MVPA. No associations were found between objectively measured physical activity and neighborhood walkability attributes in community-dwelling patients with stroke in an Asian area.

A longitudinal examination of objective neighborhood walkability, body mass index, and waist circumference: the REasons for Geographic And Racial Differences in Stroke study

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.

Walkability measures to predict the likelihood of walking in a place: A classification and regression tree analysis

Walkability is a popular and ubiquitous term at the intersection of urban planning and public health. As the number of potential walkability measures grows in the literature, there is a need to compare their relative importance for specific research objectives. This study demonstrates a classification and regression tree (CART) model to compare five familiar measures of walkability from the literature for their relative ability to predict whether or not walking occurs in a dataset of objectively measured locations. When analyzed together, the measures had moderate-to-high accuracy (87.8% agreement: 65.6% of true walking GPS-measured points classified as walking and 93.4% of non-walking points as non-walking). On its own, the most well-known composite measure, Walk Score, performed only slightly better than measures of the built environment composed of a single variable (transit ridership, employment density, and residential density).Thus there may be contexts where transparent and longitudinally available measures of urban form are worth a marginal tradeoff in prediction accuracy. This comparison of walkability measures using CART highlights the importance for public health and urban design researchers to think carefully about how and why particular walkability measures are used.

The relationship between neighbourhood walkability and cardiovascular risk factors in northern France

BACKGROUND

Although walkability is known to be associated with obesity and hypertension through increased physical activity; data on cardiovascular risk factors (especially in the Europe) are scarce. We assessed the relationship between neighbourhood walkability and cardiometabolic factors (including obesity, hypertension, the blood lipid profile, and serum glycated haemoglobin (HbA1c) levels) among adults living in northern France.

METHODS

Data were extracted from the ELISABET study database (2011-2013). The participants (aged between 40 and 65) resided in or around the cities of Lille and Dunkirk. For each residential address, we determined a neighbourhood walkability index (using a geographic information system) and the Walk Score®. Multilevel linear and logistic models were used to assess the relationships between neighbourhood walkability on one hand and body mass index (BMI), obesity, blood pressure, hypertension, serum HDLC, LDL-C, triglyceride and HbA1c levels, and physical activity level on the other.

RESULTS

3218 participants were included. After adjusting for individual and neighbourhood variables, we found that a higher neighbourhood walkability index was associated with a lower BMI (-0.23 kg.m^-2; 95% confidence interval (CI) [-0.44;-0.01] for a one interquartile range (IQR) increment), a lower systolic blood pressure (-1.66 mmHg; 95% CI [-2.46;-0.85] per IQR), a lower prevalence of hypertension (% of increase: -7.12, 95% CI [-13.56;-0.52] per IQR), and a higher prevalence of moderate or high physical activity (% of increase = 6.9; 95% CI [1.2;12.72] per IQR). The walkability index was not significantly associated with other cardiovascular risk factors. Similar results were observed for the Walk Score®.

CONCLUSION

Our results showed that residence in a more walkable neighbourhood was associated with a lower prevalence of vascular risk factors. Promoting neighbourhood walkability might help to improve the population's cardiovascular health.

Contribution of Individual and Neighborhood Factors to Racial Disparities in Respiratory Outcomes

Rationale: Black adults have worse health outcomes compared with white adults in certain chronic diseases, including chronic obstructive pulmonary disease (COPD).Objectives: To determine to what degree disadvantage by individual and neighborhood socioeconomic status (SES) may contribute to racial disparities in COPD outcomes.Methods: Individual and neighborhood-scale sociodemographic characteristics were determined in 2,649 current or former adult smokers with and without COPD at recruitment into SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study). We assessed whether racial differences in symptom, functional, and imaging outcomes (St. George's Respiratory Questionnaire, COPD Assessment Test score, modified Medical Research Council dyspnea scale, 6-minute-walk test distance, and computed tomography [CT] scan metrics) and severe exacerbation risk were explained by individual or neighborhood SES. Using generalized linear mixed model regression, we compared respiratory outcomes by race, adjusting for confounders and individual-level and neighborhood-level descriptors of SES both separately and sequentially.Measurements and Main Results: After adjusting for COPD risk factors, Black participants had significantly worse respiratory symptoms and quality of life (modified Medical Research Council scale, COPD Assessment Test, and St. George's Respiratory Questionnaire), higher risk of severe exacerbations and higher percentage of emphysema, thicker airways (internal perimeter of 10 mm), and more air trapping on CT metrics compared with white participants. In addition, the association between Black race and respiratory outcomes was attenuated but remained statistically significant after adjusting for individual-level SES, which explained up to 12-35% of racial disparities. Further adjustment showed that neighborhood-level SES explained another 26-54% of the racial disparities in respiratory outcomes. Even after accounting for both individual and neighborhood SES factors, Black individuals continued to have increased severe exacerbation risk and persistently worse CT outcomes (emphysema, air trapping, and airway wall thickness).Conclusions: Disadvantages by individual- and neighborhood-level SES each partly explain disparities in respiratory outcomes between Black individuals and white individuals. Strategies to narrow the gap in SES disadvantages may help to reduce race-related health disparities in COPD; however, further work is needed to identify additional risk factors contributing to persistent disparities.

The relationship between walk score® and perceived walkability in ultrahigh density areas

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Walk Score® was positively correlated with several perceived walkable environmental attributes.

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There was a large correlation between Walk Score® and access to shops.

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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.

Participation in Social Activities and Relationship between Walking Habits and Disability Incidence

Identifying the relationship between physical and social activity and disability among community-dwelling older adults may provide important information for implementing tailored interventions to prevent disability progression. The aim of this study was to determine the effect of the number of social activities on the relationship between walking habits and disability incidence in older adults. We included 2873 older adults (mean age, 73.1 years; SD, ±5.9 years) from the National Center for Geriatrics and Gerontology—Study of Geriatric Syndromes. Baseline measurements, including frequencies of physical and social activities, health conditions, physical function, cognitive function, metabolic parameters, and other potential disability risk factors (for example, the number of years of education); monthly assessment for disability was monitored through long-term care insurance certification for at least 2 years from baseline. During a mean follow-up of 35.1 months (SD, 6.4 months), 133 participants developed disability. The disability incidence was 19.0 and 27.9 per 1000 person-years for participants who walked more (≥3 times per week) and less (≤3 times per week) frequently, respectively. The potential confounding factor-adjusted disability hazard ratio was 0.67 (95% confidence interval, 0.46 to 0.96; p = 0.030). The relationship between habitual walking and the number of social activities was statistically significant (p = 0.004). The reduction of disability risk by walking was greater among participants with fewer social activities. Habitual walking was associated with disability incidence, with a more pronounced effect among older adults who were less likely to engage in social activities.

Neighborhood Walkability as a Predictor of Incident Hypertension in a National Cohort Study

The built environment (BE) has been associated with health outcomes in prior studies. Few have investigated the association between neighborhood walkability, a component of BE, and hypertension. We examined the association between neighborhood walkability and incident hypertension in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Walkability was measured using Street Smart Walk Score based on participants' residential information at baseline (collected between 2003 and 2007) and was dichotomized as more (score ≥70) and less (score <70) walkable. The primary outcome was incident hypertension defined at the second visit (collected between 2013 and 2017). We derived risk ratios (RR) using modified Poisson regression adjusting for age, race, sex, geographic region, income, alcohol use, smoking, exercise, BMI, dyslipidemia, diabetes, and baseline blood pressure (BP). We further stratified by race, age, and geographic region. Among 6,894 participants, 6.8% lived in more walkable areas and 38% (N = 2,515) had incident hypertension. In adjusted analysis, neighborhood walkability (Walk Score ≥70) was associated with a lower risk of incident hypertension (RR [95%CI]: 0.85[0.74, 0.98], P = 0.02), with similar but non-significant trends in race and age strata. In secondary analyses, living in a more walkable neighborhood was protective against being hypertensive at both study visits (OR [95%CI]: 0.70[0.59, 0.84], P < 0.001). Neighborhood walkability was associated with incident hypertension in the REGARDS cohort, with the relationship consistent across race groups. The results of this study suggest increased neighborhood walkability may be protective for high blood pressure in black and white adults from the general US population.

Investigating associations between physical activity-related neighborhood built environment features and child weight status to inform local practice

Despite evidence of the importance of neighborhood built environment features in relation to physical activity and obesity, research has been limited in informing localized practice due to small sample sizes and limited geographic coverage. This demonstration study integrated data from a local pediatric health system with nationally available neighborhood built environment data to inform local decision making around neighborhood environments and childhood obesity. Height/weight from clinic visits and home neighborhood measures from the U.S. Environmental Protections Agency and WalkScore were obtained for 15,989 6-17 year olds. Multilevel models accounted for the nested data structure and were adjusted for neighborhood income and child sociodemographics. In 9-17 year olds, greater street connectivity and walkability were associated with a 0.01-0.04 lower BMIz (Ps = .009-.017) and greater residential density, street connectivity, and walkability were associated 5-7% lower odds of being overweight/obese (Ps = .004-.044) per standard deviation increase in environment variable. 45.9% of children in the lowest walkability tertile were overweight or obese, whereas 43.1% of children in the highest walkability tertile were overweight or obese. Maps revealed areas with low walkability and a high income-adjusted percent of children overweight/obese. In the Kansas City area, data showed that fewer children were overweight/obese in more walkable neighborhoods. Integrating electronic health records with neighborhood environment data is a replicable process that can inform local practice by highlighting the importance of neighborhood environment features locally and pointing to areas most in need of interventions.

Social and physical environmental factors in daily stepping activity in those with chronic stroke

BACKGROUND, PURPOSE/OBJECTIVE

Walking behavior in the chronic stroke population is multi-factorial. Previous work focused on the role of physical and biopsychosocial factors in understanding daily stepping post stroke. However, qualitative evidence suggests that social and physical environmental factors also affect daily stepping in those with stroke. The purpose of this study was to understand the role of social and physical environmental factors in daily stepping after stroke.

METHODS

A total of 249 individuals ≥6 months post stroke were included in this cross-sectional analysis (129 females, mean age 62.98 years, SD 11.94). The social environment included living situation, work status, and marital status. The physical environment included the Area Deprivation Index (ADI) and Walk Score. At least 3 days of stepping was collected using an accelerometry-based device. Predictors were entered sequentially into a regression model: demographic characteristics, social environmental factors, and physical environmental factors.

RESULTS

After adjusting for demographic factors, social environmental factors explained 6.2% (p =.017) of the variance in post stroke daily stepping. The addition of physical environmental factors improved the model (ΔR² =.029, p =.024). The final model explained 9.2% (p =.003) of the variance in daily stepping. Lower area deprivation (ADI β = -0.178, p =.015) and working (working vs. retired β = -0.187, p = .029 and working vs. unemployed β = -0.227, p =.008) were associated with greater daily stepping.

DISCUSSION/CONCLUSION

Social and physical environmental factors predicted daily stepping and should be considered when setting expectations relative to the effects of rehabilitation on daily stepping in individuals poststroke.

Is Seoul Walkable? Assessing a Walkability Score and Examining Its Relationship with Pedestrian Satisfaction in Seoul, Korea

Studies have assessed neighborhood walkability responding to increasing interest in academics, practitioners, and policy makers. While Walk Score is a well-operationalized and efficient measure of neighborhood walkability, it is not supported in the Asian context. We thus developed a “Walkability Score” for use in Seoul, South Korea, following the Walk Score algorithm and then conducted a logistic regression for a satisfied versus dissatisfied binary outcome in order to conduct an empirical test. Results showed a significant association between Walkability Score and pedestrian satisfaction. We also explored sample locations and found some discrepancies between Walkability Score and the degree of pedestrian satisfaction. While some sample locations near parks, and rivers and waterfront spaces (but without destinations for walking trips such as banking or shopping) revealed low Walkability Scores, the degree of pedestrian satisfaction was relatively high in these areas. Some samples located in residential areas with well-designed sidewalks and greenery revealed relatively high pedestrian satisfaction, but Walkability Scores were insufficient. This study’s Walkability Score was somewhat valid for approaching the issue, but further research is needed to complete this measure, especially in high-density areas with well-equipped pedestrian infrastructures (e.g., crosswalks, pedestrian streets).