Validation of Walk Score for estimating access to walkable amenities

Microscale Audits of the Built Environment and the Challenges for Pedestrians in 4 Residential Areas in Oman

BACKGROUND

Ensuring a livable and healthy built environment that addresses challenges of climate change and the pandemic of noncommunicable diseases should include creating an environment support of physical activity. This study aims to build local evidence on improving the residential areas by assessing the built environment of 4 residential areas in Oman.

METHODS

This study uses the Microscale Audit of Pedestrian Streetscapes-Mini, a 15-item tool with 4 subscales (destinations and land use, aesthetics, pedestrian infrastructure, and crossings/traffic safety), to conduct environmental audits of 4 areas in Barka and Nizwa, Oman. In each neighborhood, two 1-km long routes that crossed the diameter of the area, and passed by, or led to one or more group of amenities were selected. Each route was scored independently by 2 raters and showed good interrater agreement.

RESULTS

The overall score was poor walkability across the 4 neighborhoods (mean = 0.18; range: 0.14 and 0.20) where scores >0.80 are considered excellent for walkability. Aesthetics was the only subscale with a good quality score (0.64) compared with the others (pedestrian infrastructure: 0.19, crossings/traffic safety: 0.06, and destination and land use: 0.06).

CONCLUSIONS

This study demonstrated the utility of the Microscale Audit of Pedestrian Streetscapes-Mini tool for cities of the Gulf Cooperation Council. The low scores point to the urgent need to identify cost-effective adaptations of the built environment that could substantially increase physical activity outcomes of the population. Further regionally relevant research can help identify specific design elements needed for more walker friendly neighborhoods.

Interplay Between Residential Nature Exposure and Walkability and Their Association with Cardiovascular Health

Background

Green space has been linked with cardiovascular (CV) health. Nature access and quality may have significant impact on CV risk factors and health.

Objectives

The authors aimed to investigate the relationship between NatureScore, a composite score for natural environment exposure and quality of green spaces, with CV risk factors and atherosclerotic cardiovascular diseases (ASCVD).

Methods

A cross-sectional study including one million adult patients from the Houston Methodist Learning Health System Outpatient Registry (2016-2022). NatureScore is a composite measure of natural environment exposure and quality (0-100) calculated for each patient based on residential address. NatureScores was divided into 4 categories: nature deficient/light (0-39), nature adequate (40-59), nature rich (60-79), and nature utopia (80-100). CV risk factors included hypertension, diabetes, dyslipidemia, and obesity.

Results

Among 1.07 million included patients (mean age 52 years, female 59%, Hispanic 16%, Non-Hispanic Black 14%), median NatureScore was 69.4. After adjusting for neighborhood walkability, patients living in highest NatureScore neighborhoods had lower prevalence of CV risk factors (OR: 0.91, 95% CI: 0.90-0.93) and ASCVD (OR: 0.96, 95% CI: 0.93-0.98) than those in lowest NatureScore neighborhoods. A significant interaction existed between NatureScore and Walkability (P < 0.001), where those in high NatureScore (≥60) high walkability (≥40) areas had lower prevalence of CV risk factors (OR: 0.93, 95% CI: 0.90-0.97, P < 0.001) and were more likely to have optimal CV risk profile (relative risk ratio: 1.09, 95% CI: 1.04-1.14, P = 0.001).

Conclusions

These findings suggest that while green spaces benefit health, their accessibility through walkable environments is crucial for cardiovascular disease protection.

Daily walking time effects of the opening of a multifunctional facility "ONIKURU" using propensity score matching and GPS tracking techniques

Urban design focused on improving walkability has received attention as a method of increasing physical activity among the population. However, only a few studies have examined the effect of walking time of opening multifunctional facilities as an architecture-scale intervention. This study aimed to clarify the effect of opening a multifunctional facility on residents' daily walking time. In addition, this study analyzed the gender and age subgroups. The natural experiment was conducted using the case of the Ibaraki City Cultural and Childcare Complex "ONIKURU," a public multifunctional facility. This study used GPS-trajectory data based on GPS tracking techniques, which is anonymized location data for smartphone users. The causal relationship was analyzed using propensity score matching and difference-in-differences analysis. The results showed that the opening of ONIKURU significantly increased the average walking time of visitors to 3.165 [- 1.697, 8.027] min/day compared with that of non-visitors. Specifically, visitors' average daily walking time improved to a level comparable to that of non-visitors after the opening of ONIKURU. In addition, opening ONIKURU significantly increased female young adults' average walking time to 3.385 [- 4.906, 11.676] min/day. Therefore, this study provides theoretical contributions to a health-promoting built environment significantly affecting walking at an architecture-scale intervention.

Assessing Physical Therapists' Outdoor Walking Recommendations and Neighborhood Walkability for Older Adults

BACKGROUND/OBJECTIVES

Neighborhood walkability is the extent to which built and social environments support walking. Walkability influences older adults' participation in outdoor physical activity. Identifying factors that influence physical therapists' (PTs) decisions about prescribing outdoor walking is needed, especially for those who are aging in place. The purpose of this study is to describe the neighborhood walkability knowledge, perceptions, and assessment practices of PTs who work with community-dwelling older adults.

METHODS

A cross-sectional survey was sent via email to 5,000 PTs nationwide. The 40-item survey assessed walking prescriptions, walkability perceptions and assessments, and gathered demographic data. Categorical variables were compared using Chi-square analyses.

RESULTS

Using a total of 122 PTs who worked in outpatient geriatric physical therapy settings, a significant difference was found between perceptions of whether PTs should assess walkability and whether they actually assess walkability (χ2 = 78.7, p < .001). Decisions to prescribe outdoor walking were influenced by the availability (n = 79, 64.8%) and maintenance (n = 11, 9.0%) of sidewalks, crime (n = 9, 7.4%), terrain (n = 7, 5.7%), and aesthetics (n = 6, 4.9%). Objective walkability measures were not used by the respondents.

CONCLUSION

When considering the assessment of walkability, PTs prioritize the built environment over the social environment. Although most believe it is the responsibility of the PT to assess walkability, most do not. Significance/Implications: Assessment of walkability may allow PTs to identify barriers and make more informed recommendations concerning outdoor walking for older adults. Objective measures are available for PTs when prescribing outdoor walking.

Matching Clinical Profiles with Interventions to Optimize Daily Stepping in People with Stroke

Background

Individualizing interventions is imperative to optimize physical activity in people with chronic stroke. This secondary analysis grouped individuals with chronic stroke into clinical profiles based on baseline characteristics and examined if these clinical profiles preferentially benefitted from a specific rehabilitation intervention to improve daily step-activity.

Methods

Participants had non-cerebellar strokes ≥6 months prior to enrollment, were 21-85 years old, had walking speeds of 0.3-1.0 m/s, and took <8,000 steps-per-day. Participants were randomized to 1 of 3 interventions: high-intensity treadmill training (FAST), a step-activity behavioral intervention (SAM), or a combined intervention (FAST+SAM). The primary outcome was the interaction of latent class (clinical profile) and intervention group (FAST, SAM, FAST+SAM) on a change in steps-per-day. Key clinical characteristics to identify the latent classes included walking speed, walking endurance, balance self-efficacy, cognition, and area deprivation.

Results

Of the 190 participants with complete pre- and post-intervention data (mean [SD] age, 64 [12] years; 93 females [48.9%]), 3 distinct profiles of people with chronic stroke were identified. Within our sample, class 1 had the lowest walking capacity (speed and endurance), lowest balance self-efficacy, and highest area deprivation, and had the greatest change in step-activity when enrolled in the SAM (mean[95%CI], 1624 [426 - 2821]) or FAST+SAM (1150 [723 - 1577]) intervention. Class 2 had walking capacity, baseline steps-per-day, and self-efficacy values between Class 1 and 3, and had the greatest change in step-activity when enrolled in the SAM (2002 [1193-2811]) intervention. Class 3 had the highest walking capacity, highest self-efficacy, and lowest area deprivation and the greatest change in step-activity when enrolled in the FAST+SAM (1532 [915-2150]) intervention.

Conclusions

People with chronic stroke require different interventions to optimize a change in step-activity. Clinicians can use clinically relevant measures to personalize intervention selection to augment step-activity in people with chronic stroke.

Trial Registration

NCT02835313; https://clinicaltrials.gov/ct2/show/NCT02835313.

Longitudinal Impacts of High Versus Low Greenness on Cardiovascular Disease Conditions

BACKGROUND

Greenness-or vegetative presence-has been identified as a factor in chronic disease. The present study examines the longitudinal relationship between objective measures of greenness at the residential block level and incidence of 6 cardiovascular disease conditions.

METHODS AND RESULTS

Analyses examined the impact of consistently high versus consistently low "precision" greenness at the Census block level on the 5-year incidence of cardiovascular disease conditions, including acute myocardial infarction, atrial fibrillation, heart failure, ischemic heart disease, stroke/transient ischemic attack, and hypertension, among 229 034 US Medicare beneficiaries in Miami-Dade County, Florida, USA. Zero-inflated Poisson regression was used to model the odds of developing any new cardiovascular disease and number of new cardiovascular disease conditions based on greenness tertiles computed across 2011 and 2016 Normalized Difference Vegetation Index values, adjusting for individual age, sex, race, ethnicity, baseline cardiovascular disease conditions, neighborhood income, and walkability in 2011 and 2016. When compared with individuals consistently in the low greenness tertile in 2011 and 2016, those consistently in the high greenness tertile in 2011 and 2016 had a 9% lower odds of having any new cardiovascular conditions (odds ratio [OR], 0.91 [95% CI, 0.84-0.99]; P=0.021).

CONCLUSIONS

Over a 5-year period, consistently high greenness, when compared with consistently low greenness, was associated with lower odds of any new cardiovascular disease conditions. Identifying the role of greenness exposure in such a small geographic area, the Census block on which the older adult resides, allows for more precise, strategic decisions on where additional trees can be added-by selecting at-risk blocks rather than entire neighborhoods for tree-planting interventions.

Design and methods of the StepByStep randomized trial of a mobile health and social media physical activity intervention among adolescent and young adult survivors of childhood cancer: A report from the Children's Oncology Group

BACKGROUND

Interventions to increase physical activity are needed in adolescent and young adult survivors of childhood cancer who are largely inactive but at lifelong elevated risk of multiple chronic conditions improved by physical activity. The goals of the StepByStep study are to evaluate the effects of a 48-week distance-based, multi-component mobile health and social media behavioral intervention on physical activity, biomarkers of cardiometabolic health, and health-related quality of life.

METHODS

This ongoing study is a two-arm, prospective, multi-site randomized controlled trial. 384 childhood cancer survivors age ≥ 15 years and < 21 years who were 3-36 months off therapy and not meeting physical activity guidelines were enrolled. The trial will test the efficacy of a 24-week intensive multi-component physical activity intervention combining a wearable physical activity tracker, social media peer support group, and individualized goal setting followed by a 24-week maintenance phase of the intervention to improve outcomes. The control group receives the wearable physical activity tracker only.

CONCLUSION

There is a growing need for novel, developmentally appropriate interventions to increase physical activity and improve the health trajectory of adolescent and young adult survivors of childhood cancer. If efficacious, this portable and scalable intervention would be a much-needed tool to reduce the morbidity from cancer treatment and improve quality of life among survivors after treatment ends.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04089358; COG Identifier: ALTE2031.

Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution

Understanding the relationships between ultrafine particle (UFP) exposure, socioeconomic status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for promoting public health, addressing environmental justice, and ensuring transportation equity. We conducted a large-scale mobile measurement campaign and employed a gradient boost model to generate exposure surfaces using land use, built environment, and meteorological conditions. The Ontario Marginalization Index was used to quantify various indicators of social disadvantage for Toronto's neighborhoods. Our findings reveal that people in socioeconomically disadvantaged areas experience elevated UFP exposures. We highlight significant disparities in accessing sustainable transportation, particularly in areas with higher ethnic concentrations. When factoring in daily mobility, UFP exposure disparities in disadvantaged populations are further exacerbated. Furthermore, individuals who do not generate emissions themselves are consistently exposed to higher UFPs, with active transportation users experiencing the highest UFP exposures both at home and at activity locations. Finally, we proposed a novel index, the Community Prioritization Index (CPI), incorporating three indicators, including air quality, social disadvantage, and sustainable transportation. This index identifies neighborhoods experiencing a triple burden, often situated near major infrastructure hubs with high diesel truck activity and lacking greenspace, marking them as high-priority areas for policy action and targeted interventions.

Walkability and socio-economic status in relation to walking, playing and sports practice in a representative Spanish sample of youth: The PASOS study

PURPOSE

Physical activity (PA) provides multiple health-related benefits in children and adolescents, however, at present, the majority of young people are insufficiently physically active. The aim of this study was to evaluate if neighborhood walkability and/or socio-economic status (SES) could affect the practice of walking, play outdoors and sports practice in a representative sample of Spanish children and adolescents.

METHODS

A sample of 4092 youth (aged 8-16 years old) from 245 primary and secondary schools in 121 localities from each of the 17 Spanish autonomous communities participated in the study. Walk Score was used to evaluate walkability of the neighborhood and household income was used as an indicator of SES. A 7-item self-reported validated questionnaire, was used to assess PA levels, and in a subsample of 10% of the participants, randomly selected from the entire sample, PA was objectively measured by accelerometers.

RESULTS

Youth from more walkable areas reported more minutes walking per day compared with those from less walkable neighborhoods (51.4 vs 48.8 minutes, respectively). The lowest average minutes spent in playing outdoors was found among participants from low-SES and low-walkable neighborhoods. Neighborhood SES influenced on the participation in team sports during the weekend, being this participation higher in high SES neighborhoods.

CONCLUSION

Providing high walkable environments seems a good strategy to promote PA regardless SES levels. It seems that improving the walkability is a key component to partially overcome the SES inequalities, especially in urban areas with low SES. High-SES environments can offer better sports facilities and more organized physical activities than low-SES ones.

"You Need to Keep It Going, Mind, Body, and Spirit": Older Adults' Perspectives on Aging in Place in Subsidized Housing

In the U.S., more than one million older adults with low incomes live in apartment buildings subsidized by the Low-Income Housing Tax Credit. Although this population experiences disproportionate rates of nursing home admission, little is known about residents' perspectives on factors that influence their ability to live independently in these settings. Fifty-eight residents aged 62 and older and eight study partners participated in qualitative interviews about their perspectives on living independently in subsidized housing, including barriers and facilitators. We analyzed transcripts using a hybrid inductive and deductive approach to qualitative thematic analysis. Barriers and facilitators for living independently in subsidized housing related to the influence of the social and physical environment on individuals' experiences of living independently, including factors unique to subsidized housing. Findings suggest how interventions to optimize functional status and promote independence among older adults living in subsidized housing can build on existing strengths of the subsidized housing environment to improve outcomes.

Longitudinal Impacts of Precision Greenness on Alzheimer's Disease

BACKGROUND

The potential for greenness as a novel protective factor for Alzheimer's disease (AD) requires further exploration.

OBJECTIVES

This study assesses prospectively and longitudinally the association between precision greenness - greenness measured at the micro-environmental level, defined as the Census block - and AD incidence.

DESIGN

Older adults living in consistently high greenness Census blocks across 2011 and 2016 were compared to those living in consistently low greenness blocks on AD incidence during 2012-2016.

SETTING

Miami-Dade County, Florida, USA.

PARTICIPANTS

230,738 U.S. Medicare beneficiaries.

MEASUREMENTS

U.S. Centers for Medicare and Medicaid Services Chronic Condition Algorithm for AD based on ICD-9 codes, Normalized Difference Vegetation Index, age, sex, race/ethnicity, neighborhood income, and walkability.

RESULTS

Older adults living in the consistently high greenness tertile, compared to those in the consistently low greenness tertile, had 16% lower odds of AD incidence (OR=0.84, 95% CI: 0.76-0.94, p=0.0014), adjusting for age, sex, race/ethnicity, and neighborhood income. Age, neighborhood income and walkability moderated greenness' relationship to odds of AD incidence, such that younger ages (65-74), lower-income, and non-car dependent neighborhoods may benefit most from high greenness.

CONCLUSIONS

High greenness, compared to low greenness, is associated with lower 5-year AD incidence. Residents who are younger and/or who reside in lower-income, walkable neighborhoods may benefit the most from high greenness. These findings suggest that consistently high greenness at the Census block-level, may be associated with reduced odds of AD incidence at a population level.

Reciprocal relationship between physical and social frailty among community-dwelling older adults

OBJECTIVE

Both physical and social frailty are risk factors for major adverse health-related outcomes and influence each other. However, the longitudinal causal relationship between physical and social frailty has not been clarified. This study aimed to determine the reciprocal relationship between physical and social frailty by age group.

METHODS

This study analyzed longitudinal data from a cohort study of older adults aged 65 years or older living in Obu City, Aichi Prefecture, Japan. The study included 2568 participants who participated in both a baseline assessment in 2011 and a follow-up assessment four years later. Participants participated in assessments of physical and cognitive function. Physical frailty was assessed using the Japanese version of the Cardiovascular Health Study criteria. Social frailty was assessed with five questions about daily social activities, social roles, and social relationships. A total frailty score was calculated for each frailty type and used in the cross-lagged panel analysis. The reciprocal relationship between physical and social frailty status was analyzed using a cross-lagged panel model in each of the young-old (n = 2006) and old-old (n = 562) groups.

RESULTS

In the old-old group, baseline physical frailty status predicted social frailty status four years later, and social frailty status at baseline predicted physical frailty status four years later. In the young-old group, the effect of social frailty status at baseline on physical frailty at four years was significant; however, the cross-lag effect from baseline physical frailty status to social frailty status at four years was insignificant, indicating that social frailty preceded physical frailty.

CONCLUSION

The reciprocal relationship between physical and social frailty differed by age group. The results of this study suggest the importance of considering age when planning strategies to prevent frailty. Although a causal relationship between both physical and social frailty was observed in old-old, social frailty preceded physical frailty in the young-old, suggesting that early prevention of social frailty is important for the prevention of physical frailty.

Differential effects of lifestyle activities on disability incidence based on neighborhood amenities

BACKGROUND

This study examined the effect of neighborhood amenities on disability risk among community-dwelling older adults in Japan, based on lifestyle activities.

METHOD

This was an observational prospective cohort study. Participants comprised 13,258 older adults from the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. We calculated participants' Walk Score using their home addresses and divided them into three groups: "car-dependent," "somewhat walkable," and "very walkable." We then calculated the average value of lifestyle activities. We divided the neighborhood amenity groups into two groups, "fewer lifestyle activities" and "more lifestyle activities," for a total of six groups. After identifying interactions between neighborhood amenities and lifestyle activities, Cox proportional hazard models to calculate hazard ratios for incident disability risk, based on neighborhood amenities and lifestyle activities.

RESULTS

An interaction occurred between neighborhood amenities and lifestyle activities (p < 0.05). Survival probabilities for incident disability based on lifestyle activities were estimated for each neighborhood amenity group: car-dependent, 1.62 (95% CI 1.07 to 2.46); somewhat walkable, 1.08 (95% CI 0.84 to 1.40); and very walkable, 1.05 (95% CI 0.87 to 1.27). Those with fewer lifestyle activities in the car-dependent group exhibited the highest risk of incident disability in the unadjusted and adjusted models.

CONCLUSION

Given that the aging population is increasing steadily, considering older adults' neighborhood amenities and lifestyle activities in their day-to-day lives can help clinicians to deliver more older adult-centered care. Incorporating the lifestyle activities and neighborhood amenities of older adults into care planning will lead to the design and development of integrated clinical and community screening programs.

Neighborhood Walkability as a Risk Factor for Preterm Birth Phenotypes in Two Philadelphia Hospitals from 2013-2016

A total of one in ten infants is born preterm in the U.S. with large racial disparities. Recent data suggest that neighborhood exposures may play a role. Walkability-how easily individuals can walk to amenities-may encourage physical activity. We hypothesized that walkability would be associated with a decreased risk of preterm birth (PTB) and that associations would vary by PTB phenotype. PTB can be spontaneous (sPTB) from conditions such as preterm labor and preterm premature rupture of membranes, or medically indicated (mPTB) from conditions such as poor fetal growth and preeclampsia. We analyzed associations of neighborhood walkability (quantified by their Walk Score® ranking) with sPTB and mPTB in a Philadelphia birth cohort (n = 19,203). Given racial residential segregation, we also examined associations in race-stratified models. Walkability (per 10 points of Walk Score ranking) was associated with decreased odds of mPTB (aOR 0.90, 95% CI: 0.83, 0.98), but not sPTB (aOR 1.04, 95% CI: 0.97, 1.12). Walkability was not protective for mPTB for all patients; there was a non-significant protective effect for White (aOR 0.87, 95% CI: 0.75, 1.01), but not Black patients (aOR 1.05, 95% CI: 0.92, 1.21) (interaction p = 0.03). Measuring health effects of neighborhood characteristics across populations is key for urban planning efforts focused on health equity.

The associations between place-based measures of walkability and physical activity across a range of diverse streetscapes

Walkability relates to aspects of a physical environment that have the potential to influence walking in that environment. In 2019, the Environmental Protection Agency developed the National Walkability Index (NWI), an easily accessible, U.S. Census block-group-level indicator of walkability. Although the NWI could be the metric of choice for researchers and urban planners, there is a lack of empirical evidence for its validity. The current study examined the validity of the NWI and Walk Score for predicting physical activity (PA) occurring along urban streetscapes. A wearable video device (Gogloo E7 SMART eyewear) was used to capture videos of streetscapes in 24 U.S. Census block groups in three different sized cities. The block groups varied in walkability, income level, and minority composition. The videos, collected over 10 months during 2019 at different times on weekdays and weekends, were reviewed by experts to obtain counts of walkers/h and individuals performing leisure PA/h (dependent variables). The independent variables were the NWI, its components - transit stop proximity, intersection density, employment/household occupancy mix, and employment mix, and Walk Score. Block group was the level of analysis. Linear regression indicated Walk Score, employment/household occupancy mix, and employment mix were associated with walkers/h (p < .001) while only employment/household occupancy mix, and employment mix were associated with leisure PA/h (p < .001). The NWI did not account for a significant portion of the variance in PA outcomes. A place-based examination of PA and walkability indexes favors the use of Walk Score and a modified version of the NWI.

Cross-Sectional Study of Location-Based Built Environments, Physical Activity, Dietary Intake, and Body Mass Index in Adult Twins

We examined relationships between walkability and health behaviors between and within identical twin pairs, considering both home (neighborhood) walkability and each twin's measured activity space. Continuous activity and location data (via accelerometry and GPS) were obtained in 79 pairs over 2 weeks. Walkability was estimated using Walk Score^® (WS); home WS refers to neighborhood walkability, and GPS WS refers to the mean of individual WSs matched to every GPS point collected by each participant. GPS WS was assessed within (WHN) and out of the neighborhood (OHN), using 1-mile Euclidean (air1mi) and network (net1mi) buffers. Outcomes included walking and moderate-to-vigorous physical activity (MVPA) bouts, dietary energy density (DED), and BMI. Home WS was associated with WHN GPS WS (b = 0.71, SE = 0.03, p < 0.001 for air1mi; b = 0.79, SE = 0.03, p < 0.001 for net1mi), and OHN GPS WS (b = 0.18, SE = 0.04, p < 0.001 for air1mi; b = 0.22, SE = 0.04, p < 0.001 for net1mi). Quasi-causal relationships (within-twin) were observed for home and GPS WS with walking (ps < 0.01), but not MVPA, DED, or BMI. Results support previous literature that neighborhood walkability has a positive influence on walking.

Favorable Neighborhood Walkability is Associated With Lower Burden of Cardiovascular Risk Factors Among Patients Within an Integrated Health System: The Houston Methodist Learning Health System Outpatient Registry

This is the first study to investigate the relationship between neighborhood walkability and cardiovascular (CV) risk factors in the United States using a large population-based database. Cross-sectional study using data from 1.1 million patients over the age of 18 in the Houston Methodist Learning Health System Outpatient Registry (2016-2022). Using the 2019 WalkScore, patients were assigned to one of the 4 neighborhood walkability categories. The burden of CV risk factors (hypertension, diabetes, obesity, dyslipidemia, and smoking) was defined as poor, average, or optimal (>3, 1-2, 0 risk factors, respectively). We included 887,654 patients, of which 86% resided in the two least walkable neighborhoods. The prevalence of CV risk factors was significantly lower among participants in the most walkable neighborhoods irrespective of ASCVD status. After adjusting for age, sex, race/ethnicity, and socioeconomic factors, we found that adults living in the most walkable neighborhoods were more likely to have optimal CV risk profile than those in the least walkable ones (RRR 2.77, 95% CI 2.64-2.91). We observed an inverse association between neighborhood walkability and the burden of CV risk factors. These findings support multilevel health system stakeholder engagements and investments in walkable neighborhoods as a viable tool for mitigating the growing burden of modifiable CV risk factors.

Association of walkability and NO2 with metabolic syndrome: A cohort study in China

BACKGROUND

Epidemiological studies have reported an association between traffic-related pollution with risk of metabolic syndrome (MetS). However, evidence from prospective studies on the association of walkability and nitrogen dioxide (NO₂) with MetS is still scarce. We, therefore, aimed to evaluate the association of long-term exposure to NO₂ and walkability with hazards of incident MetS.

METHODS

A total of 17,965 participants without MetS diagnosed within one year at baseline were included in our study from a population-based prospective cohort in Yinzhou District, Ningbo, Zhejiang Province, China. Participants were followed up by the regional Health Information System (HIS) until December 15, 2021. MetS was defined based on the criteria of Chinese Diabetes Society (CDS2004). We used walkscore tools, calculating with amenity categories and decay functions, and spatial-temporal land-use regression (LUR) models to estimate walkability and NO₂ concentrations. We used Cox proportional hazards regression models to examine the association of walkability and NO₂ with hazards of MetS incidence reporting with hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

Overall, we followed up 77,303 person-years and identified 4040 incident cases of MetS in the entire cohort. Higher walkability was inversely associated with incident MetS (HR = 0.94, 95 % CI: 0.91-0.99), whereas NO₂ was positively associated with MetS incidence (HR = 1.07, 95 %CI: 1.00-1.15) per interquartile range increment in two-exposure models. Furthermore, we found a significant multiplicative interaction between walkability and NO₂. Stronger associations were observed for NO₂ and incident MetS among men, smokers, drinkers and participants who aged < 60 years and had higher levels of income.

CONCLUSION

In summary, we found living in areas with lower walkability and higher concentrations of NO₂ were associated with increased incidence of MetS. The beneficial effect of higher walkability may be attenuated by exposure to NO₂.

A novel method to map community- and neighborhood-level access to rural physical activity built environments in the United States

Physical activity (PA) built environments may support PA among rural youth and families. In the United States (U.S.), differences between rural and urban PA built environments are assessed using coarse scale, county-level methods. However, this method insufficiently examines environmental differences within rural counties. The present study uses rural-specific geospatial mapping techniques and a fine scale, within-rural grouping strategy to identify differing levels of access to the PA built environment among a rural sample. First, PA infrastructure variables (parks, sidewalks) within a rural region of the Midwest U.S. were mapped. Then, households (N = 112) of participants in the NU-HOME study, a childhood obesity prevention trial, were categorized to community-level and neighborhood-level PA built environment groups using two access indicators; Rural-Urban Commuting Area (RUCA) codes and Walk Scores®, respectively. Finally, households were categorized to new groups that combined community-level RUCA codes and neighborhood-level Walk Scores® to indicate the diverse ways in which rural families might access PA built environments, including by vehicle travel and pedestrian commuting. Household access to PA infrastructure (per geospatial proximity and density analyses), parent perceptions of the PA environment, and child PA were examined across the new combined access groups. All measures of household access to PA infrastructure significantly differed by group (p <.0001). Several parent PA perceptions differed by group; child PA did not. The present study provides future researchers with innovative strategies to map and examine how access to the PA built environment differs within a rural area. Due to the public availability of the access indicators used (RUCA codes, Walk Scores®), study methods can be replicated.

Cross-sectional associations between neighbourhood walkability and objective physical activity levels in identical twins

OBJECTIVES

Physical activity is a cornerstone of chronic disease prevention and treatment, yet most US adults do not perform levels recommended for health. The neighborhood-built environment (BE) may support or hinder physical activity levels. This study investigated whether identical twins who reside in more walkable BEs have greater activity levels than twins who reside in less walkable BEs (between-twin analysis), and whether associations remain significant when controlling for genetic and shared environmental factors (within-twin analysis).

DESIGN

A cross-sectional study.

SETTING

The Puget Sound region around Seattle, Washington, USA.

PARTICIPANTS

The sample consisted of 112 identical twin pairs who completed an in-person assessment and 2-week at-home measurement protocol using a global positioning system (GPS)monitor and accelerometer.

EXPOSURE

The walkability of each participants' place of residence was calculated using three BE dimensions (intersection density, population density and destination accessibility). For each variable, z scores were calculated and summed to produce the final walkability score.

OUTCOMES

Objectively measured bouts of walking and moderate-to-vigorous physical activity (MVPA), expressed as minutes per week.

RESULTS

Walkability was associated with walking bouts (but not MVPA) within the neighbourhood, both between (b=0.58, SE=0.13, p<0.001) and within pairs (b=0.61, SE=0.18, p=0.001). For a pair with a 2-unit difference in walkability, the twin in a more walkable neighbourhood is likely to walk approximately 16 min per week more than the co-twin who lives in a less walkable neighbourhood.

CONCLUSIONS

This study provides robust evidence of an association between walkability and objective walking bouts. Improvements to the neighbourhood BE could potentially lead to increased activity levels in communities throughout the USA.

Moderating Effects of Racial Segregation on the Associations of Cardiovascular Outcomes with Walkability in Chicago Metropolitan Area

Cardiovascular diseases (CVDs), as the leading cause of death in the U.S., pose a disproportionate burden to racial/ethnic minorities. Walkability, as a key concept of the built environment, reflecting walking and physical activity, is associated with health behaviors that help to reduce CVDs risk. While the unequal social variation and spatial distribution inequality of the CVDs and the role of walkability in preventing CVDs have been explored, the moderating factors through which walkability affects CVDs have not been quantitatively analyzed. In this paper, the spatial statistical techniques combined with the regression model are conducted to study the distribution of the CVDs' health outcomes and factors influencing their variation in the Chicago metropolitan area. The spatial statistical results for the CVDs' health outcomes reveal that clusters of low-value incidence are concentrated in the suburban rural areas and areas on the north side of the city, while the high-value clusters are concentrated in the west and south sides of the city and areas extending beyond the western and southern city boundaries. The regression results indicate that racial segregation reduced the positive association between health outcomes and walkability, although both racial segregation and walkability factors were positively associated with CVDs' health outcomes.

Development of Evaluation Indicators for Sports Facilities for People with Disabilities Considering the Universal Design: Focusing on the Republic of Korea

We developed evaluation indicators for sports facilities for people with disabilities and adopted the universal design to conduct Delphi surveys on sports facilities and sports experts. First, the range of universal design element reflection and the method of deriving the evaluation indicators were established through a literature review. Second, 21 experts conducted the first Delphi survey to select the important features of the seven principles of universal design and describe the necessary sub-factors to consider when designing sports facilities. The described elements were divided into 15 categories, and 49 sub-factors were extracted. Third, based on the evaluation of the indicators’ content, acceptance was investigated, and the survey data were analyzed through indicators of reliability and validity of the sub-factors and categories. Fourth, we discussed whether to accept the standard value on the basis of the evaluation index through an expert meeting. Subsequently, the final evaluation index was obtained. The developed evaluation index should be applied by the operators and users of public sports facilities, and validation work is needed. Guidelines for applying the universal design to various sports facilities for people with disabilities should be developed. The financing of sports facilities applying the universal design and related policies should be discussed.

Association of the built environment and neighborhood resources with obesity-related health behaviors in older veterans with hypertension

OBJECTIVE

To evaluate the association of the built environment and neighborhood resources with exercise, diet, and body mass index (BMI).

METHOD

Person-level data were collected from 533 veterans with uncontrolled hypertension. Neighborhood measures were: (a) census-tract level walkability; and (b) healthy food proximity (HFP). Robust or logistic regression (adjusting for age, race, education, comorbidity, and clustered by provider) was used to evaluate associations between neighborhood and exercise duration (hours/week), exercise adherence (% adherent), saturated fat index (0-10), Healthy Eating Index (HEI; 0-100), HEI adherence (≥ 74 score), stage of change (SOC) for exercise and diet (% in action/maintenance), BMI (kg/m²), and obesity (BMI ≥ 30 kg/m²).

RESULTS

The adjusted difference in HEI score (standard error [SE]) between the highest and lowest walkability tertiles was 3.67 (1.35), p = .006; the corresponding comparison for the saturated fat index was 1.03 (.50), p = .041 and BMI was -1.12 (.45), p = .013. The adjusted odds ratio (OR; 95% confidence intervals [CI]) between the highest and lowest walkability tertiles for HEI adherence was 2.16 [1.22, 3.82], p = .009 and for action/maintenance for exercise SOC was 1.78 [1.15, 2.76], p = .011. The adjusted difference (SE) between the highest and lowest HFP tertiles for exercise duration was .65 (.31), p = .03. The adjusted OR [95% CI] between the highest and lowest HFP tertiles for exercise adherence was 1.74 [1.08, 2.79], p = .023 and for action/maintenance for exercise SOC was 1.75 [1.10, 2.79], p = .034.

CONCLUSIONS

Geographical location is associated with exercise and diet. Environment-tailored health recommendations could promote healthier lifestyles and decrease obesity-related cardiovascular disease. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

Gains in Daily Stepping Activity in People With Chronic Stroke After High-Intensity Gait Training in Variable Contexts

OBJECTIVE

Many physical therapist interventions provided to individuals with chronic stroke can lead to gains in gait speed or endurance (eg, 6-Minute Walk Test [6MWT]), although changes in objective measures of participation are not often observed. The goal of this study was to determine the influence of different walking interventions on daily stepping (steps per day) and the contributions of demographic, training, and clinical measures to these changes.

METHODS

In this secondary analysis of a randomized clinical trial, steps per day at baseline and changes in steps per day following 1 of 3 locomotor interventions were evaluated in individuals who were ambulatory and >6 months after stroke. Data were collected on 58 individuals who received ≤30 sessions of high-intensity training (HIT) in variable contexts (eg, tasks and environments; n = 19), HIT focused on forward walking (n = 19), or low-intensity variable training (n = 20). Primary outcomes were steps per day at baseline, at post-training, and at a 3-month follow-up, and secondary outcomes were gait speed, 6MWT, balance, and balance confidence. Correlation and regression analyses identified demographic and clinical variables associated with steps per day.

RESULTS

Gains in steps per day were observed across all groups combined, with no between-group differences; post hoc within-group analyses revealed significant gains only following HIT in variable contexts. Both HIT groups showed gains in endurance (6MWT), with increases in balance confidence only following HIT in variable contexts. Changes in steps per day were associated primarily with gains in 6MWT, with additional associations with baseline 6MWT, lower-extremity Fugl-Meyer scores, and changes in balance confidence.

CONCLUSION

HIT in variable contexts elicited gains in daily stepping, with changes primarily associated with gains in gait endurance.

IMPACT

Providing HIT in variable contexts appears to improve measures of participation (eg, daily stepping) that may be associated with clinical measures of function. Gains in multiple measures of mobility and participation with HIT in variable contexts may improve the efficiency and value of physical therapy services.

A Grammar-Based Optimization Approach for Designing Urban Fabrics and Locating Amenities for 15-Minute Cities

Providing pedestrian accessibility to urban services is a big challenge and a key factor in creating more walkable urban areas. Moreover, it is a critical aspect of climate-resilient urban planning as it is broadly assumed that neighborhoods with greater walkability discourage automobile use and reduce CO2 emissions. The idea of 15-minute cities, defined as urban environments where most places that residents need to access are within a 15-minute walk, is gaining increasing attention worldwide. Because aspects of urban performance are increasingly quantifiable, generative, and data-driven design approaches can explore broader sets of potential solutions, while optimization can help identify designs with desired properties. This work demonstrates and tests a new approach that combines shape grammars, a formal method for shape generation that facilitates the elaboration of complex patterns and meaningful solutions, with multi-objective optimization. The goal was to optimize the design of urban fabric layouts and the location of amenities to provide 15-minute neighborhood configurations that minimize infrastructure cost (as estimated by cumulative street length) and the number of amenities, while maximizing pedestrian accessibility to urban services (as assessed by overall integration and the average distance from all plots to nearest amenities).

Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status

BACKGROUND

Although socioeconomic status (SES) has been shown to modify associations between the neighborhood built environment and physical activity, contradictory results exist. Objectives of this cross-sectional and longitudinal analysis were to: 1) examine whether overall neighborhood walkability and specific built characteristics were associated with walking among adults at a single point in time and after they relocate neighborhoods, and 2) test for effect modification of these associations by SES.

METHODS

We linked longitudinal data from 703 adults who relocated urban neighborhoods between two waves of Alberta's Tomorrow Project (2008-2015) to neighborhood built environment data. We created a walkability index from measures of population counts, street connectivity, and destination diversity within 400 m of participants' homes. In cross-sectional analyses, we used generalized linear models to estimate associations between built characteristics and minutes walked per week at baseline. For the longitudinal analyses, we used fixed-effects linear regression models to estimate associations between changes in built characteristics and minutes walked per week. We also assessed if indicators of SES (individual education or household income) modified both sets of associations.

RESULTS

Most cross-sectional and longitudinal associations were small and statistically non-significant. Neighborhood population count (b = 0.03, 95% CI: 0.01, 0.07) and street connectivity (b = - 1.75, 95% CI: - 3.26, - 0.24) were cross-sectionally associated with walking duration among the overall sample. None of the longitudinal associations were statistically significant among the overall sample. There was limited evidence of effect modification by SES, however, we found negative cross-sectional associations between street connectivity and walking among adults with lower education and income, and a positive association between percent change in walkability and change in walking among lower educated adults.

CONCLUSIONS

Despite population count and street connectivity being associated with walking at baseline, changes in these built environment variables were not associated with changes in walking following residential relocation. Our findings also provide evidence, albeit weak, that changes in neighborhood walkability, resulting from residential relocation, might more strongly affect walking among low SES adults. Further longitudinal research is needed to examine built environment characteristics with walking for different purposes and to test for inequitable socioeconomic impacts.

Spatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly

Contemporary cities require excellent walking conditions to support human physical activity, increase humans’ well-being, reduce traffic, and create a healthy urban environment. Various indicators and metrics exist to evaluate walking conditions. To evaluate the spatial pattern of objective-based indicators, two popular indices were selected—the Walkability Index (WAI), representing environmental-based indicators, and Walk Score (WS), which applies an accessibility-based approach. Both indicators were evaluated using adequate spatial units (circle buffers with radii from 400 m to 2414 m) in two Czech cities. A new software tool was developed for the calculation of WS using OSM data and freely available network services. The new variant of WS was specifically designed for the elderly. Differing gait speeds, and variable settings of targets and their weights enabled the adaptation of WS to local conditions and personal needs. WAI and WS demonstrated different spatial pattern where WAI is better used for smaller radii (up to approx. 800 m) and WS for larger radii (starting from 800 m). The assessment of WS for both cities indicates that approx. 40% of inhabitants live in unsatisfactory walking conditions. A sensitivity analysis discovered the major influences of gait speed and the β coefficient on the walkability assessment.

A comprehensive evaluation of physical activity on sidewalks and streets in three U.S. Cities

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Video-enhanced observation provides objective data on sidewalks/streets activity.

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Neighborhood-level walkability was strongly associated with sidewalks/streets use.

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Most people (67%) were walking; others were sitting, standing, cycling, jogging.

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Sidewalk/street activity varied by time of day, weather, & environmental condition.

A considerable proportion of outdoor physical activity (PA) is done on sidewalks/streets. The purpose of the current study was to create a comprehensive picture of PA and non-PA (sitting and standing) occurring on sidewalks/streets. A wearable video device was used to capture videos during 2019 in three different size (small, medium, large), U.S. cities along 24 observation routes (sidewalks/streets) located in 24 study areas that varied in walkability, income level, and minority composition. Videos were collected over the course of one year during different times of week and weekend days. Expert reviewers examined each video to extract data on counts of people engaged in different types of activities (e.g., walking) per minute of video. A total of 1154 individuals were described in 1237 min of video as either walking (66.9%), sitting/standing (25.7%), jogging (4.2%), cycling (1.8%) or skating/playing (1.4%). A greater number of active people/min were seen in the evening and in the small city (P < 0.05) while more non-PA people/min were observed in the medium city and during the weekend (P < 0.05). Active and non-PA people/min were associated with walkability, income, and minority composition. For instance, in high walkability, low income areas, 3.2 active people/min were observed in areas with a high percentage of non-minority residents compared to 0.9 active people /min in areas with a high percentage of minority residents. Sidewalks/street activities are related to dynamic interactions between social and physical environmental factors. The results of this study may serve as a reference to which future, similar evaluations can compare.

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.

Association between neighborhood walkability and social participation in community-dwelling older adults in Japan: A cross-sectional analysis of the keeping active across generations uniting the youth and the aged study

AIM

This study investigated neighborhood walkability using Walk Score® and social participation in districts within a city among older Japanese adults.

METHODS

This study was a cross-sectional study using baseline data of older adults from the Keeping Active across Generations Uniting the Youth and the Aged study. In total, 2750 participants (1361 men and 1389 women, mean age 72.8 ± 6.4 years) were included in the analysis. The questionnaire included socioeconomic status, self-rated health, medical history, depressive symptoms, instrumental activities of daily living and social participation. We used the Walk Score® as neighborhood walkability and a walk score <50 was categorized as a "car-dependent" area and a score ≥50 as a "walkable" area. A Poisson regression analysis stratified by sex was performed to investigate the association of neighborhood walkability with social participation. Prevalence ratios were calculated and their 95% confidence intervals.

RESULTS

We found that dwelling in car-dependent areas (prevalence ratio 0.78, 95% confidence interval 0.64-0.94) had a significant negative effect on women's social participation, unlike men.

CONCLUSIONS

Our study showed that neighborhood walkability and social participation were associated with older Japanese women after adjusting for the covariates. These findings might provide helpful information for public health interventions targeted to promote social participation among older adults. Geriatr Gerontol Int ••; ••: ••-•• Geriatr Gerontol Int 2022; ••: ••-••.

Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

With people restricted to their residences, neighbourhood characteristics may affect behaviour and risk of coronavirus disease 2019 (COVID-19) infection. We aimed to analyse whether neighbourhoods with higher walkability, public transit, biking services and higher socio-economic status were associated with lower COVID-19 infection during the peak of the COVID-19 pandemic in Massachusetts. We used Walk Score®, Bike Score®, and Transit Score® indices to assess the walkability and transportation of 72 cities in Massachusetts, USA based on availability of data and collected the total COVID-19 case numbers of each city up to 10 April 2021. We used univariate and multivariate linear models to analyse the effects of these scores on COVID-19 cases per 100,000 in each city, adjusting for demographic covariates and all covariates, respectively. In the 72 cities studied, the average Walk Score, Transit Score and Bike Score was 48.7, 36.5 and 44.1, respectively, with a total of 426,182 COVID-19 cases. Higher Walk Score, Transit Score, and Bike Score rankings were negatively associated with COVID-19 cases per 100,000 persons (<0.05). Cities with a higher proportion of Hispanic population and a lower median household income were associated with more COVID-19 cases per 100,000 (P<0.05). Higher Walk Score, Transit Score and Bike Score were shown to be protective against COVID-19 transmission, while socio-demographic factors were associated with COVID-19 infection. Understanding the complex relationship of how the structure of the urban environment may constrain commuting patterns for residents and essential workers during COVID-19 would offer potential insights on future pandemic preparedness and response.

Associations of exposure to residential green space and neighborhood walkability with coronary atherosclerosis in Chinese adults

Residential green space and neighborhood walkability are important foundations of a healthy and sustainable city. Yet, their associations with atherosclerosis, the disease underlying clinical coronary heart disease (CHD), is unknown, especially in susceptible populations. We aim to explore the associations of exposure to residential green space and neighborhood walkability with coronary atherosclerosis. In this study of 2021 adults with suspected CHD, we evaluated the associations of exposure to green space (using Normalized Difference Vegetation Index [NDVI] and enhanced vegetation index [EVI] surrounding each participant's home) and neighborhood walkability (using walkability index and number of parks near home) with atherosclerosis (using coronary artery calcium score, CAC) using linear regression model adjusted for individual-level characteristics. Mediation analysis was further applied to explore potential mechanisms through the pathways of physical activity, air pollution, and psychological stress. In the primary model, an interquartile increase in annual mean NDVI and EVI within the 1-km area was associated with -15.8% (95%CI: 28.7%, -0.7%), and -18.6% (95%Cl: 31.3%, -3.6%) lower CAC score, respectively. However, an interquartile increase in the walkability index near home was associated with a 7.4% (95% CI: 0.1%, 15.2%) higher CAC score. The combined exposure to a green space area in a 1-km area and the walkability index were inversely associated with atherosclerosis, albeit with a smaller magnitude than a single-exposure model. The findings from a mediation analysis suggested that increased physical exercise and ameliorated particulate matter <2.5 μm (PM_2.5) may partially contribute to the relationship between green space and atherosclerosis, and for walkability index, partially explained by increased PM_2.5 exposure. Our study suggested a beneficial association between green space and atherosclerosis, but an adverse association between neighborhood walkability and atherosclerosis. Therefore, urban development that aims to improve neighborhood walkability should jointly account for enhancing green space properties from a public health perspective.

Understanding the Impact of Walkability, Population Density, and Population Size on COVID-19 Spread: A Pilot Study of the Early Contagion in the United States

The novel coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global event that has been challenging governments, health systems, and communities worldwide. Available data from the first months indicated varying patterns of the spread of COVID-19 within American cities, when the spread was faster in high-density and walkable cities such as New York than in low-density and car-oriented cities such as Los Angeles. Subsequent containment efforts, underlying population characteristics, variants, and other factors likely affected the spread significantly. However, this work investigates the hypothesis that urban configuration and associated spatial use patterns directly impact how the disease spreads and infects a population. It follows work that has shown how the spatial configuration of urban spaces impacts the social behavior of people moving through those spaces. It addresses the first 60 days of contagion (before containment measures were widely adopted and had time to affect spread) in 93 urban counties in the United States, considering population size, population density, walkability, here evaluated through walkscore, an indicator that measures the density of amenities, and, therefore, opportunities for population mixing, and the number of confirmed cases and deaths. Our findings indicate correlations between walkability, population density, and COVID-19 spreading patterns but no clear correlation between population size and the number of cases or deaths per 100 k habitants. Although virus spread beyond these initial cases may provide additional data for analysis, this study is an initial step in understanding the relationship between COVID-19 and urban configuration.

Walkability indices and children's walking behavior in rural vs. urban areas

PURPOSE

This study described associations between selected walk indices (WI) and walking and physical activity behaviors in rural and urban children.

FINDINGS

WI were higher in urban environments, yet children from rural areas walked for transportation more than children from urban areas. There was a negative correlation between National WI scores and walking for transportation in urban areas, and between the Frank WI scores and walking for exercise in rural areas.

CONCLUSIONS

Indices of walkability are not associated with objectively measured physical activity or self-reported walking behavior in children living in rural and urban settings.

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.

Social and Economic Differences in Neighborhood Walkability Across 500 U.S. Cities

INTRODUCTION

Neighborhood walkability has been established as a potentially important determinant of various health outcomes that are distributed inequitably by race/ethnicity and sociodemographic status. The objective of this study is to assess the differences in walkability across major urban centers in the U.S.

METHODS

City- and census tract-level differences in walkability were assessed in 2020 using the 2019 Walk Score across 500 large cities in the U.S.

RESULTS

At both geographic levels, high-income and majority White geographic units had the lowest walkability overall. Walkability was lower with increasing tertile of median income among majority White, Latinx, and Asian American and Native Hawaiian and Pacific Islander neighborhoods. However, this association was reversed within majority Black neighborhoods, where tracts in lower-income tertiles had the lowest walkability. Associations varied substantially by region, with the strongest differences observed for cities located in the South.

CONCLUSIONS

Differences in neighborhood walkability across 500 U.S. cities provide evidence that both geographic unit and region meaningfully influence associations between sociodemographic factors and walkability. Structural interventions to the built environment may improve equity in urban environments, particularly in lower-income majority Black neighborhoods.

Trail Conditions and Community Use: Utilizing Geospatial Video to Guide the Adoption of a Spatial-Temporal Trail Audit Tool (STAT)

Physical activity (PA), associated with all-cause mortality, morbidity, and healthcare costs, improves vitamin D absorption, immune response, and stress when completed outdoors. Rural communities, which experience PA inequities, rely on trails to meet PA guidelines. However, current trail audit methods could be more efficient and accurate, which geospatial video may support. Therefore, the study purpose was (1) to identify and adopt validated instruments for trail audit evaluations using geospatial video and a composite score and (2) to determine if geospatial video and a composite score motivate (influence the decision to use) specific trail selection among current trail users. Phase 1 used a mixed-method exploratory sequential core design using qualitative data, then quantitative data for the development of the Spatial-temporal Trail Audit Tool (STAT). Geospatial videos of two Northeast Ohio trails were collected using a bicycle-mounted spatial video camera and video analysis software. The creation of STAT was integrated from Neighborhood Environment Walkability Scale (NEWS), Walk Score, and Path Environment Audit Tool (PEAT) audit tools based on four constructs: trail accessibility, conditions, amenities, and safety. Scoring was determined by three independent reviewers. Phase 2 included a mixed-method convergent core design to test the applicability of STAT for trail participant motivation. STAT has 20 items in 4 content areas computing a composite score and was found to increase trail quality and motivation for use. STAT can evaluate trails for PA using geospatial video and a composite score which may spur PA through increased motivation to select and use trails.

Life Satisfaction and the Relationship between Mild Cognitive Impairment and Disability Incidence: An Observational Prospective Cohort Study

The relationship between the incidence of disability and cognitive function has been clarified, but whether life satisfaction is related to this relationship is unclear. Therefore, the purpose of this study was to clarify whether life satisfaction is related to the relationship between the incidence of disability and mild cognitive impairment. We included 2563 older adults from the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes. Baseline measurements included cognitive, life satisfaction, and demographic characteristics. Life satisfaction was measured using the Life Satisfaction Scale, which was stratified into three levels based on the score: lower, moderate, and higher. Associations between disability incidence and mild cognitive impairment were examined for each group according to life satisfaction, and monthly assessment for disability was monitored through long-term care insurance certification for at least 2 years from the baseline. At a 35.5-month mean follow-up, 150 participants had developed a disability. The potential confounding factors adjusted hazard for incidence of disability in the group with lower life satisfaction was 1.88 (CI: 1.05–3.35; p = 0.034) for mild cognitive impairment. Mild cognitive impairment was associated with disability incidence, and the effect was more pronounced among older adults with lower life satisfaction.

Semantic standards of external exposome data

An individual's health and conditions are associated with a complex interplay between the individual's genetics and his or her exposures to both internal and external environments. Much attention has been placed on characterizing of the genome in the past; nevertheless, genetics only account for about 10% of an individual's health conditions, while the remaining appears to be determined by environmental factors and gene-environment interactions. To comprehensively understand the causes of diseases and prevent them, environmental exposures, especially the external exposome, need to be systematically explored. However, the heterogeneity of the external exposome data sources (e.g., same exposure variables using different nomenclature in different data sources, or vice versa, two variables have the same or similar name but measure different exposures in reality) increases the difficulty of analyzing and understanding the associations between environmental exposures and health outcomes. To solve the issue, the development of semantic standards using an ontology-driven approach is inevitable because ontologies can (1) provide a unambiguous and consistent understanding of the variables in heterogeneous data sources, and (2) explicitly express and model the context of the variables and relationships between those variables. We conducted a review of existing ontology for the external exposome and found only four relevant ontologies. Further, the four existing ontologies are limited: they (1) often ignored the spatiotemporal characteristics of external exposome data, and (2) were developed in isolation from other conceptual frameworks (e.g., the socioecological model and the social determinants of health). Moving forward, the combination of multi-domain and multi-scale data (i.e., genome, phenome and exposome at different granularity) and different conceptual frameworks is the basis of health outcomes research in the future.

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.

Beyond Physical Capacity: Factors Associated With Real-world Walking Activity After Stroke

OBJECTIVE

To identify homogeneous subsets of survivors of chronic stroke who share similar characteristics across several domains and test if these groups differ in real-world walking activity. We hypothesized that variables representing the domains of walking ability, psychosocial, environment, and cognition would be important contributors in differentiating real-world walking activity in survivors of chronic stroke.

DESIGN

Cross-sectional, secondary data analysis.

SETTING

University/laboratory.

PARTICIPANTS

A total of 283 individuals with chronic (≥6mo) stroke (N=238).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Thirteen variables representing 5 domains were included: (1) walking ability: 6-minute walk test (6MWT), self-selected speed (SSS) of gait; (2) psychosocial: Patient Health Questionnaire-9, Activities-specific Balance Confidence (ABC) scale; (3) physical health: low-density lipoprotein cholesterol, body mass index, Charlson Comorbidity Index (CCI); (4) cognition: Montreal Cognitive Assessment (MoCA); and (5) environment: living situation and marital status, work status, Area Deprivation Index (ADI), Walk Score. Mixture modeling was used to identify latent classes of survivors of stroke. After identifying the latent classes, walking activity, measured as steps per day (SPD), was included as a distal outcome to understand if classes were meaningfully different in their real-world walking RESULTS: A model with 3 latent classes was selected. The 6MWT, SSS, ABC scale, and Walk Score were significantly different among all 3 classes. Differences were also seen for the MoCA, ADI, and CCI between 2 of the 3 classes. Importantly, the distal outcome of SPD was significantly different in all classes, indicating that real-world walking activity differs among the groups identified by the mixture model.

CONCLUSIONS

Survivors of stroke with lower walking ability, lower self-efficacy, lower cognitive abilities, and greater area deprivation had lower SPD. These results demonstrate that the physical and social environment (including socioeconomic factors) and cognitive function should also be considered when developing interventions to improve real-world walking activity after stroke.

Housing and Community Environments vs. Independent Mobility: Roles in Promoting Children's Independent Travel and Unsupervised Outdoor Play

Children’s independent mobility (CIM) has declined dramatically in recent decades despite its benefits in facilitating childhood development, promoting physical activity, and combating the obesity epidemic. This US-based study examines the impacts of housing and neighborhood environments on two modes of CIM—home-based independent travel to non-school destinations and unsupervised outdoor play—while considering personal and social factors. A bilingual parent/guardian survey was distributed to public elementary schools in Austin, Texas, asking about children’s travel and play, housing and neighborhood environments, and personal and social factors. A Google Street View audit was conducted to capture additional housing-related information. Logistic regressions were used to predict CIM. For second to fifth graders (N = 525), less than two-thirds of the parents would allow children’s independent travel to non-school destinations (62%) and unsupervised outdoor play (57.9%), with the majority limited to a short distance (five-minute walk) and a few destinations (e.g., friend’s/relative’s home). Stranger danger was a negative predictor and the presence of friend’s/relative’s home was a positive predictor for both modes of CIM. Quality of neighborhood environment was another positive correlate for independent travel to non-school destinations. Significant personal and social factors were also identified. Study findings demonstrated the impacts of physical environments on CIM and the potential of using relevant interventions to promote children’s health and development.

Optimization of Walk Score Based on Street Greening-A Case Study of Zhongshan Road in Qingdao

Enhancing the walkability of urban streets is an effective means to improve public health, alleviate traffic congestion, and enhance the living environment. In China, the government has actively encouraged green travel and promoted improvements in the walk system. The walkability of the built environment is affected by many factors. In addition to the configuration of daily life facilities, street greening can have significant effects on walkability. To explore the rationality of street life facilities and understand the impact of the natural attributes of the block space (street-level greening) on the quality of the walking environment, we evaluated the walkability of Zhongshan Road in Qingdao, China and optimized the algorithm of the walk score. In this study, we selected residential areas as the starting point and modified the weight coefficients for facilities to evaluate the walkability of streets. Traditional research methods were combined with street view image capture, and the rate of the attenuation factor was used for the new optimization algorithm. We discussed the rationality of street life facilities and increased the green vision rate using a correction index. By comparing changes in walkability before and after joining, we analyzed the necessity of including new indicators. The results show that the average walking index of Zhongshan Road is 79.74, and the overall performance is good, showing a high trend in the west and a low trend in the east, and a high trend in the south and a low trend in the north. According to the general walking index, western stations and southern coastal areas have higher scores, and living facilities are well equipped; old northern and eastern residential areas have lower scores. Among them, the average weight of bookstores is 0.74, and the average weight of parks is 0.69. To meet residents’ needs for daily leisure activities, adding bookstores or similar facilities in community parks would be necessary to improve daily facilities and services. The average green viewing rate of Zhongshan Road is 20.48%, which is lower than the best visual perception value of 25.00%. Comparing the walking index changes before and after adding the green viewing rate, the high-scoring area shifted from the west to the south, and the west walking index has the most significant decline. Street greening has a certain impact on the quality of the walking environment. The results and conclusions of this study can be used as a reference in developing street walkability indicators and further improving the evaluation system.

The Social Ecology of COVID-19 Cases and Deaths in New York City: The Role of Walkability, Wealth, and Race

The present research examined the zip code level (177 zip codes) prevalence of and deaths associated with COVID-19 in New York City as of May 22, 2020. Walkable zip codes had consistently lower prevalence of ( r = −.49) and deaths ( r = −.15) associated with COVID-19. The mediation analysis showed that the degree of reduction in actual geographical mobility during the lockdown (measured by smartphone GIS data) accounted for geographical variations in the number of confirmed cases and deaths. Residents in wealthy zip codes and walkable zip codes were able to limit geographical mobility, whereas residents in poor zip codes and Black and Hispanic dominant zip codes were not. Finally, the spatial lag regression analysis showed that walkability was a robust predictor of zip code–level prevalence of and deaths associated with COVID-19. Overall, walkability seems to have provided protection against the spread of COVID-19.

Assessing the Rationality and Walkability of Campus Layouts

Walking has become an indispensable and sustainable way of travel for college students in their daily lives and improving the walkability of the college campus will increase the convenience of student life. This paper develops a new campus walkability assessment tool, which optimizes the Walk Score method based on the frequency, variety, and distance of students’ walking to and from public facilities. The campus Walk Score is the product of four components. A preliminary score is calculated through 13 types of facility weight and 3 types of cure of time-decay, and the final score also factors in intersection density and block length. We examine the old and new campuses of Tianjin University to test the tool’s application and evaluate the rationality of facility layout and walkability, and to give suggestions for improvement. The results show that the old campus’ multi-center layout has a high degree of walkability, while the centralized layout of the new campus results in lower walkability. In addition, the diversified distribution of facilities surrounding the old campus promotes the walkability of peripheral places. This assessment tool can help urban planners and campus designers make decisions about how to adjust the facility layout of existing campuses in different regions or to evaluate the campus schemes based on the results of their walkability assessment.

Individual and Geographic Variation in Driver's License Suspensions: Evidence of Disparities by Race, Ethnicity and Income

INTRODUCTION

Although access to a motor vehicle is essential for pursuing social and economic opportunity and ensuring health and well-being, states have increasingly used driver's license suspensions as a means of compelling compliance with a variety of laws and regulations unrelated to driving, including failure to pay a fine or appear in court. Little known about the population of suspended drivers and what geographic resources may be available to them to help mitigate the impact of a suspension.

METHODS

Using data from the New Jersey Safety Health Outcomes (NJ-SHO) data warehouse 2004-2018, we compared characteristics of suspended drivers, their residential census tract, as well as access to public transportation and jobs, by reason for the suspension (driving or non-driving related). In addition, we examined trends in the incidence and prevalence of driving- and non-driving-related suspensions by sub-type over time.

RESULTS

We found that the vast majority (91%) of license suspensions were for non-driving-related events, with the most common reason for a suspension being failure to pay a fine. Compared to drivers with a driving-related suspension or no suspension, non-driving-related suspended drivers lived in census tracts with a lower household median income, higher proportion of black and Hispanic residents and higher unemployment rates, but also better walkability scores and better access to public transportation and jobs.

CONCLUSIONS

Our study contributes to a growing literature that shows, despite public perception that they are meant to address traffic safety, the majority of suspensions are for non-driving-related events. Further, these non-driving-related suspensions are most common in low-income communities and communities with a high-proportion of black and Hispanic residents. Although non-driving-related suspensions are also concentrated in communities with better access to public transportation and nearby jobs, additional work is needed to determine what effect this has for the social and economic well-being of suspended drivers.