Neighborhood Physical Activity Research Articles

Neighborhood physical activity facilities predict risk of incident mixed and vascular dementia: The Cardiovascular Health Cognition Study.

Neighborhood environments may promote neurocognitive health in part by providing amenities that encourage physical activity. We examined associations between quantity of walkable facilities, including specifically physical activity facilities (e.g., gyms, recreation centers), with risk of incident dementia. Participants included 2923 adults ≥ 65 years old from the Cardiovascular Health Cognition Study (1992-1999), with clinically adjudicated dementia classified over a median 6.0 years of follow-up. Walkable facilities were measured within 1 km (Euclidean) of home. Self-reported baseline physical activity was considered a moderator. In adjusted Cox models, participants with ≥ 2 (vs. 0) physical activity facilities had reduced risk of mixed/vascular dementia, but not Alzheimer's disease, particularly after excluding individuals in the bottom 20th percentile of physical activity (hazard ratio=0.56, 95% confidence interval: 0.35-0.89). Neighborhood amenities that encourage physical activity may mitigate dementia risk via improved vascular health, especially for individuals with sufficient baseline mobility to use these resources. We examined associations between nearby walkable facilities and incident dementia. Facilities within 1 km were counted via the National Establishment Time Series Database. More physical activity facilities predicted lower risk of mixed/vascular dementia. No associations were found between walkable facilities and incident Alzheimer's disease.

Associations of Neighborhood Food and Physical Activity Environments in Young Adulthood With Cardiovascular Health in Midlife: The CARDIA Study.

Adults who maintain ideal cardiovascular health (CVH) profiles up to midlife have lower risk of several chronic diseases and better quality of life. Some evidence suggests that individual-level exposures earlier in life shape midlife CVH, but the impact of neighborhood-level exposures over the life course remains understudied. Participants were 3017 Black and White men and women aged 18 to 30 years at baseline (1985-1986), recruited from Birmingham, Alabama; Minneapolis, Minnesota; Chicago, Illinois; and Oakland, California, as part of the CARDIA (Coronary Artery Risk Development in Young Adults) study. Measures of the neighborhood food and physical activity environment were linked to participant addresses collected at baseline. CVH was measured on the basis of the American Heart Association's Life's Simple 7 criteria in young adulthood and 30 years later (2015-2016) when participants were midlife (aged 48-60 years). Associations of young adult neighborhood food environment and physical activity resources with midlife CVH (moderate versus high and low versus high) were examined using multinomial logistic regression. Models were adjusted for young adult sociodemographic factors. Participants who lived farther away from a major park in young adulthood were more likely to have low versus high CVH scores (odds ratio, 1.54 [95% CI, 1.22-1.96]) and more likely to have moderate versus high CVH scores (odds ratio, 1.39 [95% CI, 1.12-1.73]) in midlife. No other neighborhood measures were significantly associated with CVH. Young adulthood may be a sensitive period in which having convenient access to physical activity-promoting resources may help them establish healthy habits that can carry into midlife.

Toowoomba Healthy Towns: A Citizen Science Initiative on Active Transport in Regional South East Queensland, Australia.

Engaging in active transport will enable individuals across the life course to increase their habitual levels of physical activity. The aim of this study was to engage citizen scientists (CS) to identify factors that influence active transport in their community. The Our Voice citizen science methodology developed at Stanford University was employed. CS completed a "discovery walk," taking photos of things that help or hinder active transport. Three groups were recruited: children aged 10-12years (n = 11), adults (n = 12), and older adults >65years (n = 10). CS rated each photo and provided a narrative explaining their reason for taking the photo. Once all CS in a specific age group had completed the walk, they met for a group discussion. The CS worked together to analyze the data, arranging them into themes and identifying priority actions. Two CS representatives from each age group presented their findings to the local council decision makers. Children highlighted the need for safer crossings, especially from their school to the local park, and suggested zebra crossings as a solution. The adults highlighted that road signs prioritized vehicles, not pedestrians, and requested that this be reversed. Older adults noted that the poor condition of the pavements made it harder for people in wheelchairs to navigate. The CS recommendations have informed the council's walking and cycling network program. Engaging with citizen science provided the community with an opportunity to advocate for meaningful yet realistic improvements in the built environment that could promote neighborhood active transport and physical activity across the lifespan.

Predictor Scales of Cognitive Factors Affecting Physical Activity in Individuals Surviving Cancer: Psychometric Properties of Turkish Versions

Background: Increasing physical activity in individuals surviving cancer is crucial in reducing treatment-related side effects and recurrence. Valid and reliable measurement tools are needed that will enable the factors affecting exercise to be addressed holistically and theoretically. This study aimed to adapt the Exercise Goal-Setting Scale, Exercise Planning and Scheduling Scale, Multidimensional Outcome Expectations for Exercise Scale, and Physical Activity Neighborhood Environment Scale into Turkish language and to explore psychometric properties of the Turkish versions of these scales in individuals surviving cancer. Methods: This methodologically designed research collected data from 153 participants at a hospital in Istanbul, Türkiye. The scales used in the study were adapted to the Turkish language through forward and backward translation and expert opinion. Content validity was assessed with a 2-week test-retest reliability, Cronbach’s α reliability coefficient for stability, item-total correlation, and confirmatory factor analysis. Results: The scales showed good content validity (CVI = 0.95-0.99). Internal consistencies were acceptable to excellent (Cronbach’s α = .79-.94), and moderate to good reproducibility estimates were observed (r = .67-.84). The MOEES factor structure also showed excellent fit. Conclusions: This study demonstrates that the adapted scales evaluated are valid and reliable for examining physical activity based on social cognitive processes in individuals surviving cancer in Türkiye. The scales examined in the study can be used to determine the cognitive factors affecting activity and to plan effective programs when providing physical activity counseling to individuals surviving cancer in Türkiye.

Examining the importance of neighborhood natural, and built environment factors in predicting older adults' mental well-being: An XGBoost-SHAP approach

BackgroundPrevious studies have shown that urban neighborhood environmental factors significantly influence the health outcomes of urban older adults. However, most cross-sectional studies exploring the health effects of these factors have failed to quantify the relative importance of each factor. MethodsWe use XGBoost machine learning techniques and SHAPley Additive Interpretation (SHAP) to rank the importance of urban neighborhood environmental factors in shaping the mental health of urban older adults. To address self-selection bias in housing choice, we distinguish older adults living in private housing from those living in public as residents in private housing have more freedom to choose where to live. ResultsThe results show that both natural and built environmental factors in urban neighborhoods are important predictors of mental well-being scores. Five natural environmental factors (blue space, perceived greenery quantity, NDVI, street view greenness, aesthetic quality) and three built environmental factors (physical activity facilities quality, physical activity facilities quantity, neighborhood disorder) had considerable predictive power for mental well-being scores in two groups. Among them, blue space, perceived greenery quantity and street view greenness quantity became less important after controlling for self-selection bias, possibly because of the unequal distribution of quantity and quality, and the performance of neighborhood disorder, aesthetic quality and physical activity facilities quality was more sensitive in public housing. ConclusionsThese results highlight the nuanced and differential effects of neighborhood environmental exposures on mental well-being outcomes, depending on housing preferences. The results of this study can provide support for decision makers in urban planning, landscape design and environmental management in order to improve the mental well-being status of urban older adults.

Association between the perceived built environment and health behaviors in older adults: a cross-sectional study from Beijing, China

BackgroundUnder the background of the increasing trend of population aging, the health and quality of life of older adults have become the focus of social concern. As an important part of older adults’ daily life, the design and configuration of the built environment may positively or negatively affect older adults’ health behaviors. Therefore, this study aims to explore the relationship between older adults’ perceived built environments and health behaviors, which is the association between perceived built environments and older adults’ physical activity (PA) and social interactions. This is important for optimizing the community built environment and improving the quality of life of older adults.MethodsIn this study, a questionnaire was surveyed on 916 Chinese older adults aged 60 and above. The questionnaire was used to collect demographic information and social interaction from the participants, and the Physical Activity Neighborhood Environment Scale (PANES) and the Physical Activity Scale for the Elderly (PASE) were used to assess older adults’ subjective perceptions of the built environment in their neighborhoods and their levels of PA, respectively. In data analysis, ANOVA and chi-square tests were used to compare the significance of differences between groups, and multiple linear regression model were used to estimate the association between older adults’ perceived characteristics of the built environment and their PA and social interaction.ResultsAfter controlling for confounders such as gender, age, BMI, and education level, the multiple linear regression model showed that perceived destination accessibility, neighborhood infrastructure, aesthetic qualities, and neighborhood environment indices were significantly correlated with PA (β = 0.083 ~ 0.095, P < 0.05) and social interaction (β = 0.087 ~ 0.144, P < 0.05) among older adults. In addition, neighborhood safety (β = -0.084, P < 0.05), social environment (β = 0.091, P < 0.01), and street connectivity (β = 0.112, P < 0.001) were also strongly associated with older adults’ social interaction.ConclusionsDifferent perceived built environment attributes are correlated with the health behaviors of Chinese older adults to different degrees. This finding helps to guide community planning and construction, provides an empirical basis for improving health behaviors of older adults, and provides an important reference for building healthy communities for older adults and realizing comprehensive healthy development of older adults.Trial registrationThere was no trial registration for this study, but the study was approved by the Institutional Review Board of Tsinghua University (No. THU0120230196).

NEIGHBOURHOOD ACCESSIBILITY AND ACTIVE LIVING PATTERN OF CHILDREN: A PILOT STUDY IN NAGPUR, INDIA

Purpose: This paper explores the association between neighbourhood accessibility and the active living patterns (ALP) of children in urban India. Focusing on outdoor out-of-school physical activities (OOPA), mode of travel to school (MTS), mode of travel to the neighbourhood (MTN), and habitual active independent home range (HAIHR), it seeks to understand the relationship between active living and neighbourhood outdoor physical environment (OPE) during middle childhood.Methodology: Defining the variable within the framework of the ‘Adapted Ecological Model for Active Living in Urban Indian Children’, this study employed a cross-sectional quantitative method to examine two neighborhoods in Nagpur, India. The subjective data was collected from 43 in-person surveys of 8–12-year-old children and objective data was computed using GIS.Results: Children’s ALP had significant positive associations with built density, traffic exposure, parents’ perception of personal safety, neighbourhood physical activity (PA) environment, license for independent mobility (IM) and gender. Children’s OOPA was significantly positively correlated with built density, neighbourhood PA environment, motivation for PA, license for IM and gender. Children preferred active MTS to school if schools were close by and they had licenses for IM whereas their active MTN depended on parent’s positive perceptions of personal safety in the neighbourhood and permission for IM. Longer HAIHR was related to lesser traffic, licenses for IM and parents’ positive perceptions of neighbourhood safety.Conclusion: This study has identified several key neighbourhood OPE (density, traffic, parental safety concerns, PA environment), individual (gender, motivation), and interpersonal (license IM) correlates shaping urban children’s active living in India.

Balancing efficacy and computational burden: weighted mean, multiple imputation, and inverse probability weighting methods for item non-response in reliable scales.

Scales often arise from multi-item questionnaires, yet commonly face item non-response. Traditional solutions use weighted mean (WMean) from available responses, but potentially overlook missing data intricacies. Advanced methods like multiple imputation (MI) address broader missing data, but demand increased computational resources. Researchers frequently use survey data in the All of Us Research Program (All of Us), and it is imperative to determine if the increased computational burden of employing MI to handle non-response is justifiable. Using the 5-item Physical Activity Neighborhood Environment Scale (PANES) in All of Us, this study assessed the tradeoff between efficacy and computational demands of WMean, MI, and inverse probability weighting (IPW) when dealing with item non-response. Synthetic missingness, allowing 1 or more item non-response, was introduced into PANES across 3 missing mechanisms and various missing percentages (10%-50%). Each scenario compared WMean of complete questions, MI, and IPW on bias, variability, coverage probability, and computation time. All methods showed minimal biases (all <5.5%) for good internal consistency, with WMean suffered most with poor consistency. IPW showed considerable variability with increasing missing percentage. MI required significantly more computational resources, taking >8000 and >100 times longer than WMean and IPW in full data analysis, respectively. The marginal performance advantages of MI for item non-response in highly reliable scales do not warrant its escalated cloud computational burden in All of Us, particularly when coupled with computationally demanding post-imputation analyses. Researchers using survey scales with low missingness could utilize WMean to reduce computing burden.

Parental perspectives of early adolescent neighbourhood outdoor play and physical activity: barriers and facilitators

Introduction: Outdoor neighbourhood play supports physiological and psychological health among early adolescents (EA), typically aged 10-14. Existing research is often grounded in socioecological theory emphasising the interconnectedness of individuals and their environments. It has also typically focused on parental perspectives of facilitators and barriers of neighbourhood play in younger children. Aims: This study aimed to ascertain facilitators and barriers of outdoor neighbourhood play as perceived by EA parents. Methods: A purposive sample (n=11) of parents engaged in individual semi-structured interviews online via Microsoft Teams. Transcripts underwent reflexive inductive thematic analysis, identifying six themes aligned with the research question within a socioecological framework. Results: Most parents (n=10) demonstrated an awareness and appreciation of the advantages of outdoor neighbourhood play. They identified barriers and facilitators to outdoor neighbourhood play across intrapersonal, interpersonal, community and policy levels. Safety concerns emerged as a barrier to outdoor play. However, technology mediated reported concerns and was perceived as a facilitator to outdoor play when combined with age-appropriate community clubs and improved built environment facilities. Conclusion: Parents acknowledged the advantages of outdoor neighbourhood play. Parents may restrict their EA’s participation due to safety concerns. The study highlighted a deficiency in age-appropriate facilities supporting safe outdoor neighbourhood play. Future research should focus on developing appropriate facilities and improving social cohesion to mitigate perceived safety concerns of parents. Such attempts may benefit from using technology to assuage parental safety concerns further and enhance overall safety of neighbourhood outdoor play experiences for EA.

Validation of the physical activity neighborhood environment scale using geographic information systems among urban men and women in regional China

AimsTo examine the concurrent validity of the Chinese version of Physical Activity Neighborhood Environment Scale (PANES-CHN) among urban adults in regional China. MethodsWith multistage sampling approaches, 801 eligible urban adults aged 35–74 years were recruited from Nanjing municipality of China between July and September of 2019. The neighbourhood built environment features were measured subjectively with PANES-CHN and objectively with geographic information system. The concurrent validity of PANES was assessed using Spearman’s correlations (rs). ResultsAmong the total 801 participants, the mean age was 54.4 (standard deviation = 11.5), while 48.7 % were men. Overall, of all the five objectively-measurable built environment characteristics, the Spearman correlations were examined significant between subjective and objective measurements for commercial facilities (item 2) (rs = 0.19, 95CI%=0.12, 0.25), recreational facilities (item 6) (rs = 0.10, 95CI%=0.02, 0.16), traffic junctions (item 12) (rs = 0.15, 95CI%=0.07, 0.22), medical/education facilities (item 17) (rs = 0.22, 95CI%=0.15, 0.29), but not for public transport stops. Similar scenarios were observed for participants aged 35–60 years, with sufficient physical activity, men or women. The rs value for medical/education facilities (item 17) was significantly higher in participants aged 35–59 years (0.28 vs. 0.13; p = 0.04) than those aged 60 + years. ConclusionsPANES-CHN generally has an acceptable validity for assessing built environment characteristics among urban adults in China, which implies that PANES-CHN can be used to measure built environment attributes in health-related population studies.

Neighbourhood Walkability and Physical Activity during the COVID-19 Pandemic.

This study investigated whether living in a walkable neighbourhood could mitigate the adverse effects of the lockdown and closure of public open spaces during the COVID-19 pandemic on physical activity among adults in Bangkok, Thailand. We conducted a telephone survey with 579 respondents and collected information on their physical activity, access to green open spaces, neighbourhood walkability, and socioeconomic characteristics during the pandemic. Our study indicates that living in a walkable neighbourhood is associated with a higher likelihood of engaging in sufficient physical activity during the pandemic. Furthermore, we confirm the influence of socioeconomic factors and health behaviours on physical activity levels, aligning with previous research. Notably, our study highlights the significant association between access to green open spaces during lockdown and increased physical activity. These results underscore the importance of promoting walkable neighbourhoods and ensuring accessible green spaces to enhance physical activity and improve health outcomes during and beyond the pandemic.

Changes in the Perceptions of the Neighborhood Environment and Physical Activity Patterns Among Mexican Americans on the Texas-Mexico Border.

Little research on the association of neighborhood environment with physical activity in resource-poor communities has been done. This study assessed changes in perceptions of the neighborhood environment and the association between those perceptions and physical activity in Mexican Americans on the Texas-Mexico border in an area where there would be community efforts to enhance pedestrian and cycling infrastructure and programming. We analyzed data from a population-based cohort of Mexican American individuals on the Texas-Mexico border. From 2008 to 2018, interviewer-administered questionnaires were used to collect perceptions of neighborhood environment and physical activity at baseline, 5- and 10-year follow-ups, and at other ancillary study visits, with an average of 3 data points per participant. We conducted multivariable longitudinal logistic regression analyses to assess if the changes in odds of positive perceptions of the neighborhood environment over the study years differed by physical activity patterns. The sample (n = 1036) was mostly female (71%), born in Mexico (70%), and had no health insurance (69%). We saw improvements in the perceptions of several neighborhood environment attributes from 2008 to 2018, though we saw different longitudinal trajectories in these perceptions based on an individual's longitudinal physical activity patterns. By 2014-2018, we saw significantly higher positive perceptions of the neighborhood environment for those who consistently met physical activity guidelines compared with those who did not (adjusted rate ratio = 1.12, P = .049). We found that perceptions of many neighborhood environment attributes improved between 2008 and 2018, and that overall positive perceptions were associated with consistently meeting physical activity guidelines over time.

The relationship between physical activity, cognitive function and health care use: A mediation analysis

Physical activity is known to provide substantial health benefits and subsequently reduce health care use among older people, but little is known about how much of this effect is due to improved cognitive function as opposed to physical improvements in health. We study the direct and indirect effect of physical activity on health care use using the word recall task as a measure of cognitive function in a mediation framework. We use data from eight waves of the US Health and Retirement Study (HRS) (2004 - 2018) of people aged 65 and older and exploit genetic variations between individuals as an instrumental variable (IV) for cognitive function, a local health care supply measure as IV for health care use, and neighbourhood physical activity as IV for individual physical activity in our simultaneous three-equation model. We find small but negative direct and indirect effects of physical activity through improved cognitive function on the probability to see a GP and being admitted to a hospital, as well as the number of GP visits and the hospital length of stay. Improved cognitive function explains between 5% to 17% of the total effect of physical activity on the reduction in health care use.

Subjective and objective indicators of neighbourhood safety and physical activity among UK adolescents.

The health benefits of regular physical activity in adolescence are well-documented and many health-related behaviours are established in adolescence. The neighbourhood environment is a key setting for physical activity for adolescents and feeling unsafe in their neighbourhood may be a potential barrier to physical activity. This study aimed to examine associations between neighbourhood safety and physical activity using objective and subjective measures for both. Participants (n=10,913) came from the Millennium Cohort Study, a nationally representative UK longitudinal birth cohort. Linear regression and Zero Inflated Poisson models were used to examine associations between subjective and objective indicators of safety (self-reported safety, Index of Multiple Deprivation crime, Reported Crime Incidence) and physical activity (self-reported weekly and device-measured physical activity). Adolescents who feel unsafe in their neighbourhood, or who live in areas with high IMD crime or violent crime rates report 0.29 (95% CI -0.49, -0.09) 0.32 (95% CI -0.47, -0.16) and 0.20 (95% CI -0.39, -0.20) fewer days of physical activity, respectively. No associations were found between Reported Crime Incidence and either objective or subjective measures of physical activity. This study demonstrates varying associations between subjective safety and objective crime with physical activity levels in adolescence, highlighting the complexities around subjective and objective measurements and their associations with health outcomes.

Association between neighbourhood cohesion and physical activity trajectories during the COVID-19 pandemic using data from Understanding Society: The UK Household Longitudinal Study & COVID-19 sub-study

Neighbourhood cohesion is increasingly recognised as a key determinant of health and health-related behaviours. Positive association between social support and physical activity have been demonstrated on an interpersonal level, there is less evidence at group-level. This study aimed to examine the association between neighbourhood cohesion and physical activity trajectories during the COVID-19 pandemic. Hypothesizing that higher neighbourhood cohesion was a protective factor against reduced physical activity during the pandemic. Data from Understand Society (wave 9, Jan 2017–Dec 2019), and the COVID-19 sub-study (waves 1, 5, 7) was used. Participants (N = 14,475) had baseline data and at least one Covid physical activity measure. We used linear mixed models with a random intercept and slope at the individual level and an unstructured correlation matrix to examine the association between neighbourhoodcohesion and physical activity during the follow-up period.We found a significant reduction in physical activity (-441 MET-min/wk, (CI 374.51 – 507.65, p < 0.001) through the COVID-19 pandemic, and that higher neighbourhood cohesion was related to higher physical activity after control for covariates. There was a significant difference between neighbourhood cohesion categories and change seen in PA during the 39-month follow-up period (difference in change between lowest and highest neighbourhood cohesion categories = 373 MET-min/wk, p = 0.036), higher neighbourhood cohesion had a protective effect. Strong relationships between public health and urban planning sectors are needed to build communities with structures in place to support a sense of community, social interaction and attraction to the neighbourhood. This will help long-term neighbourhood cohesion and support increased physical activity.

Neighbourhood Walkability and Its Influence on Physical Activity and Cardiometabolic Disease: A Cross-Sectional Study in a Caribbean Small Island Developing State.

Introduction Cities and neighborhoods may provide opportunities for population-level environmental interventions to reduce physical inactivity and cardiometabolic risk. In this study, we describe the association between neighborhood walkability, physical activity (PA), and cardiometabolic outcomes, by linking datafrom a nationally representative survey of adults (25 years and older) collected in 2012-2013 with spatial data on built environment features in Barbados. Methods We estimated a walkability index for 45 neighborhoods using objectively measured built environment features (residential density, street connectivity, and land use mix). We used the Recent Physical Activity Questionnaire to capture time spent in outdoor walking, active commuting, moderate-to-vigorous PA (MVPA), and total PA. Our primary cardiometabolic outcome was a predicted 10-year cardiovascular risk (CVD) score, estimated using the American College of Cardiology/American Heart Association pooled cohort equation. Our secondary cardiometabolic outcomes were hypertension and diabetes. We explored the effect of neighborhood walkability on PA and cardiometabolic outcomes using several multivariable regression models (tobit and linear and logistic multi-level mixed effects), with the model choice depending on the structure of the outcome. Results The average time spent walking weekly for any purpose among participants was 75 minutes/week, time spent on active commuting was 15 minutes/week, and MVPA was 221 minutes/week. We estimated that the average 10-year CVD risk in the study population was 11.7% (95%CI 10.9-12.5).Our confounder-adjusted analyses showed positive linear relationships between neighborhood walkability and each PA outcome (p<0.05 in all cases), and a negative relationship between walkability and predicted 10-year CVD risk (p<0.001). Conclusion In our setting, adults residing in higher walkability neighborhoods spent more time engaged in PA, had a lower predicted 10-year CVD risk, and were less likely to have diabetes. Urban planners may consider shorter-term interventions, such as those on a microscale, which may provide additional ways to increase activity in a mostly fixed macroscale environment.

Neighborhood Public Transportation Access and Adolescent Body Mass Index: Results from the FLASHE Study.

Background: Prior investigators have examined the relationship between neighborhood public transportation access and physical activity among adolescents, but research is lacking on the association with obesity in this age group. This study examines the association between neighborhood public transportation access and adolescent BMI using a national sample. Methods: We used cross-sectional data from the Family Life, Activity, Sun, Health, and Eating study, a national survey (2014) that assessed physical activity and diet, among adolescents (aged 12-17 years, N = 1737) and their parents. We ran crude and adjusted linear regression models to test the association between neighborhood-level public transportation access (less prevalent and prevalent) and individual participant-level BMI z-scores. Results: The analytic sample included 336 adolescents (50% female; 69% had healthy weight; 28% had overweight or obesity). Adjusted models showed a positive relationship between high public transportation access and adolescent z-BMI (b = 0.25, confidence interval [95% CI]: -0.01 to 0.50). In stratified analyses, high public transportation access was associated with higher z-BMI for high school students (b = 0.57, 95% CI: 0.23-0.91), males (b = 0.48, 95% CI: 0.09-0.87), and adolescents in households with an income below $99,999 (0.29, 95% CI: 0.02-0.56). Conclusion: Neighborhood public transportation access is associated with adolescent BMI, but the direction of this association varies across urban adolescent demographic subgroups. Further research is needed to clarify the relationships between individual and social-environmental factors that impact public transportation access and its association with adolescent BMI.

Association between neighborhood availability of physical activity facilities and cognitive performance in older adults

The existing evidence on the contextual influence of the availability of local facilities for physical activity on the cognitive health of elderly residents is sparse. This study examined the association between neighborhood physical activity facilities and cognitive health in older individuals. A cohort study of community-dwelling older adults was performed using baseline data and follow-up data from the Taiwan Biobank. Cognitive health was measured in 32,396 individuals aged 60–70 years using the Mini-Mental State Examination (MMSE) with follow-up information on 8025 participants. The district was used as the proxy for local neighborhood. To determine neighborhood physical activity facilities, school campuses, parks, activity centers, gyms, swimming pools, and stadiums were included. Multilevel linear regression models were applied to examine the associations of neighborhood physical activity facilities with baseline MMSE and MMSE decline during follow-up, with adjustment for individual factors and neighborhood socioeconomic characteristics. Multilevel analyses revealed that there was a neighborhood-level effect on cognitive health among older adults. After adjusting for compositional and neighborhood socioeconomic characteristics, baseline MMSE was higher in individuals living in the middle- (beta = 0.12, p-value = 0.140) and high-density facility (beta = 0.22, p-value = 0.025) groups than in the low-density group (p-value for trend-test = 0.031). MMSE decline during follow-up was slower in the middle- (beta = 0.15, p-value = 0.114) and high-density facility (beta = 0.27, p-value = 0.052) groups than in the low-density group (p-value for trend-test = 0.032). Greater neighborhood availability of physical activity facilities was associated with better cognitive health among older residents. These findings have implications for designing communities and developing strategies to support cognitive health of an aging population.

Association of Perceived Neighborhood Environments With Cognitive Function in Older Adults.

The current study examined the associations between perceptions of the social and physical neighborhood environments and cognitive function in older adults. This cross-sectional study analyzed 821 adults aged ≥65 years from the Adult Changes in Thought study. Perceived neighborhood attributes were measured by the Physical Activity Neighborhood Environment Scale. Cognitive function was assessed using the Cognitive Ability Screening Instrument. The associations were tested using multivariate linear regression. One point greater perceived access to public transit was associated with 0.56 points greater cognitive function score (95% confidence interval [CI] [0.25, 0.88]), and an additional one point of perceived sidewalk coverage was related to 0.22 points higher cognitive function score (95% CI [0.00, 0.45]) after controlling for sociodemographic factors. The perception of neighborhood attributes alongside physical infrastructure may play an important role in supporting older adults' cognitive function. [Journal of Gerontological Nursing, 49(8), 35-41.].

Association of neighborhood physical activity facilities with incident cardiovascular disease

BackgroundThe availability of physical activity (PA) facilities in neighborhoods is hypothesized to influence cardiovascular disease (CVD), but evidence from individual-level long-term cohort studies is limited. We aimed to assess the association between neighborhood exposure to PA facilities and CVD incidence.MethodsA total of 4658 participants from the Chinese Multi-provincial Cohort Study without CVD at baseline (2007–2008) were followed for the incidence of CVD, coronary heart disease (CHD), and stroke. Availability of PA facilities was defined as both the presence and the density of PA facilities within a 500-m buffer zone around the participants’ residential addresses. Time-dependent Cox regression models were performed to estimate the associations between the availability of PA facilities and risks of incident CVD, CHD, and stroke.ResultsDuring a median follow-up of 12.1 years, there were 518 CVD events, 188 CHD events, and 355 stroke events. Analyses with the presence indicator revealed significantly lower risks of CVD (hazard ratio [HR] 0.80, 95% confidence interval ([CI] 0.65–0.99) and stroke (HR 0.76, 95% CI 0.60–0.97) in participants with PA facilities in the 500-m buffer zone compared with participants with no nearby facilities in fully adjusted models. In analyses with the density indicator, exposure to 2 and ≥ 3 PA facilities was associated with 35% (HR 0.65, 95% CI 0.47–0.91) and 28% (HR 0.72, 95% CI 0.56–0.92) lower risks of CVD and 40% (HR 0.60, 95% CI 0.40–0.90) and 38% (HR 0.62, 95% CI 0.46–0.84) lower risks of stroke compared with those without any PA facilities in 500-m buffer, respectively. Effect modifications between presence of PA facilities and a history of hypertension for incident stroke (P = 0.049), and a history of diabetes for incident CVD (P = 0.013) and stroke (P = 0.009) were noted.ConclusionsResiding in neighborhoods with better availability of PA facilities was associated with a lower risk of incident CVD. Urban planning intervention policies that increase the availability of PA facilities could contribute to CVD prevention.