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BACKGROUND: Bicycling is a healthy form of physical activity that can be performed by most adults as part of leisure-time (LT) activity. However, little is known about LT bicycling behaviors, especially in the rural areas of the United States. This study sought to contrast the prevalence and factors associated with LT bicycling in populations living in urban settings with those living in rural settings. METHODS: The 2019 Behavior Risk Factor Survey, which contains information regarding LT physical activity behaviors among adults (N = 396,261) in the United States, was used to determine the prevalence, demographic profile, and likelihood of meeting the physical activity guidelines of LT bicyclists. The 2013 National Center for Health Statistics Urban/Rural Classification Scheme was used to classify respondents living in rural and urban settings. RESULTS: Among US adults, 3.8% (95% CI, 3.7-3.9) reported LT bicycling activity, the sixth most common physical activity. Adults living in urban counties compared with rural counties had a greater prevalence of LT bicycling (3.9% vs 2.3%, respectively), with adults living in rural counties having a 34% lower probability of LT bicycling. Rural bicycling prevalence rates were lower across all demographics. Urban bicyclists, compared with rural bicyclists, cycled more months of the year. Overall, 85.5% of all bicyclists met the aerobic physical guidelines, with no differences between urban and rural bicyclists. CONCLUSIONS: Bicycling remains an important LT physical activity among adults in the United States. However, a rural-urban difference in the prevalence does exist for LT bicycling. The reasons for this disparity warrant further investigation.
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Early prevention strategies are needed to mitigate the high risk of cardiovascular disease in adolescents with type 1 diabetes (T1D). Residential neighbourhood features can promote healthy lifestyle behaviours and reduce cardiovascular risk, but less is known about their role in lifestyle behaviours in adolescents with T1D, and no studies use comparisons to healthy controls. We examined associations between residential neighbourhood features and lifestyle behaviours in adolescents with T1D and healthy controls. Data from CARDEA, a cross-sectional study of 100 adolescents with T1D (14-18 years) from a paediatric diabetes clinic in Montreal, Canada, and 97 healthy controls, were analysed. Outcomes included physical activity and sedentary behaviour (accelerometry), screen time and sleep duration (questionnaires), and dietary habits (24h recalls). Cluster analysis of selected neighbourhood indicators computed for participants' postal codes resulted in two neighbourhood types: central urban and peri-urban. Central urban neighbourhoods were characterised by very high population density, high active living index, numerous points of interest, higher social deprivation, higher residential mobility, and lower median household income compared to peri-urban neighbourhoods. Associations of neighbourhood type with lifestyle behaviours were estimated with multiple linear regressions and interactions by T1D status were tested. Living in central urban neighbourhoods was associated with greater daily minutes of moderate-to-vigorous physical activity (B = 8.61, 95% CI [1.79, 15.44]) compared to living in peri-urban neighbourhoods. No associations were observed for other lifestyle behaviours, and no statistically significant interactions were found between neighbourhood type and T1D status. Features that characterize central urban built environments appear to promote physical activity in adolescents, regardless of T1D status.
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Background: Walkable neighborhoods are closely related to an increase in walking frequency and the strengthening of social cohesion. These factors, in turn, contribute to lower BMI and other positive health-related outcomes. However, with a rapid increase in aging populations in China and the fact that women are facing more challenges than men as they age, especially mobility challenges because they tend to live longer leading to probabilities to become widowed. Nevertheless, less attention has been paid to understanding the gender difference between these relationships. Methods: Based on a survey of 533 older adults in Dalian, China, this study tried to investigate the intertwined relationship between perceived walkability, social cohesion, walking frequency, and BMI. A Structural Equation Model (SEM) and multiple-group analysis were applied to test the proposed framework. Results: First, results show that gender differences existed among the above interrelationships, and the most substantial gender gap was found in effects of social cohesion on BMI. Second, perceived walkability only has a direct effect (0.149) on walking frequencies for female seniors. Third, although the relationships between perceived walkability and BMI are not directly related in both male and female models, the indirect connection (-0.053) is substituted for female seniors. Besides, the inhibiting effect of walking on BMI, which is -0.511, is also valid for female seniors. Finally, in terms of the role of social cohesion, both the positive impacts of perceived walkability on it (0.225 for males and 0.325 for females) and its promoting effects on walking have been confirmed in male (0.142) and female models (0.103). The negative direct effect of social cohesion on BMI (-0.083) is only confirmed in male seniors. Conclusion: Insights derived from this analysis can help bring forward gender-specific interventions to build a more inclusive walkable and social environment to improve the mobility and physical health of older adults.
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Índice de Massa Corporal , Caminhada , Humanos , Caminhada/estatística & dados numéricos , Masculino , Feminino , Idoso , China , Fatores Sexuais , Características de Residência/estatística & dados numéricos , Inquéritos e Questionários , Pessoa de Meia-Idade , Idoso de 80 Anos ou mais , Planejamento AmbientalRESUMO
The causes of traffic violations by elderly drivers are different from those of other age groups. To reduce serious traffic violations that are more likely to cause serious traffic crashes, this study divided the severity of traffic violations into three levels (i.e., slight, ordinary, severe) based on point deduction, and explore the patterns of serious traffic violations (i.e., ordinary, severe) using multi-source data. This paper designed an interpretable machine learning framework, in which four popular machine learning models were enhanced and compared. Specifically, adaptive synthetic sampling method was applied to overcome the effects of imbalanced data and improve the prediction accuracy of minority classes (i.e., ordinary, severe); multi-objective feature selection based on NSGA-II was used to remove the redundant factors to increase the computational efficiency and make the patterns discovered by the explainer more effective; Bayesian hyperparameter optimization aimed to obtain more effective hyperparameters combination with fewer iterations and boost the model adaptability. Results show that the proposed interpretable machine learning framework can significantly improve and distinguish the performance of four popular machine learning models and two post-hoc interpretation methods. It is found that six of the top ten important factors belong to multi-scale built environment attributes. By comparing the results of feature contribution and interaction effects, some findings can be summarized: ordinary and severe traffic violations have some identical influencing factors and interactive effects; have the same influencing factors or the same combinations of influencing factors, but the values of the factors are different; have some unique influencing factors and unique combinations of influencing factors.
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Urbanisation and building advancements have increased microbial growth in indoor environments, altering human interactions with these microorganisms. Restrooms and their sinks harbour diverse bacterial communities, that differ from those found in natural environments, that could have negative implications for human health. Over two and a half years, this study examined the diversity, temporal dynamics, and resilience of bacterial communities in restroom sink P-traps in a newly built university building. Structured into two phases, the first phase consisted of continuous monitoring of bacterial community dynamics for two years (n = 352), while the second phase involved an intervention with sodium hypochlorite (bleach) and subsequent sampling (n = 132). In the first phase, we show that sink communities converge, becoming more compositionally similar to other sinks within the building. Bacterial families such as Rhodocyclaceae and Flavobacteriaceae dominated across the sinks, and others such as Comamonadaceae, Moraxellaceae and Enterbacteriaceae were highly prevalent. When comparing bacterial structure and composition to other sinks located on the university campus, the mean bacterial dissimilarity decreased over time, indicating compositional similarity, particularly with the newer buildings on campus. The second phase demonstrated resilience by the bacterial sink communities. Following bleach treatments, a distinct increase in Acinetobacter was observed. However, by the fourth week after bleach invention, bacterial communities had re-established to levels observed prior to treatment. This study had the unique opportunity to sample a newly built building before occupancy and for the subsequent two and a half years. The findings provide crucial insights into the development and resilience of sink P-trap bacterial communities in restrooms, laying the groundwork for more targeted approaches to disinfection strategies.
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A growing number of studies have associated walkability and greenspace exposure with greater physical activity (PA) in women during pregnancy. However, most studies have focused on examining women's residential environments and neglected exposure in locations outside the home neighborhood. Using 350 person-days (N = 55 participants) of smartphone global positioning system (GPS) location and accelerometer data collected during the first and third trimesters and 4-6 months postpartum from 55 Hispanic pregnant women from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study, we examined the day-level effect of women's exposure to walkability and greenspace on their PA outcomes during pregnancy and in the early postpartum period. Moderate-to-vigorous physical activity [MVPA] minutes per day was assessed using accelerometers. Walkability and greenspace were measured using geographic information systems (GIS) within women's daily activity spaces (i.e., places visited and routes taken) recorded using a smartphone GPS and weighted by time spent. We used a generalized linear mixed-effects model to estimate the effects of daily GPS-derived environmental exposures on day-level MVPA minutes. Results showed that women engaged in 23% more MVPA minutes on days when they had some versus no exposure to parks and open spaces in activity spaces (b = 1.23; 95%CI: 1.02-1.48). In addition, protective effects of daily greenspace and walkability exposure on MVPA were stronger in the first and third trimesters, among first-time mothers, and among women who had high pre-pregnancy body mass index (BMI) and lived in least-safe neighborhoods. Our results suggest that daily greenspace and walkability exposure are important for women's PA and associated health outcomes during pregnancy and early postpartum.
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As cities continue to grow globally, characterizing the built environment is essential to understanding human populations, projecting energy usage, monitoring urban heat island impacts, preventing environmental degradation, and planning for urban development. Buildings are a key component of the built environment and there is currently a lack of data on building height at the global level. Current methodologies for developing building height models that utilize remote sensing are limited in scale due to the high cost of data acquisition. Other approaches that leverage 2D features are restricted based on the volume of ancillary data necessary to infer height. Here, we find, through a series of experiments covering 74.55 million buildings from the United States, France, and Germany, it is possible, with 95% accuracy, to infer building height within 3 m of the true height using footprint morphology data. Our results show that leveraging individual building footprints can lead to accurate building height predictions while not requiring ancillary data, thus making this method applicable wherever building footprints are available. The finding that it is possible to infer building height from footprint data alone provides researchers a new method to leverage in relation to various applications.
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The risk of Legionella transmission in built environments remains a significant concern. Legionella can spread within buildings through aerosol transmission, prompting the exploration of airborne transmission pathways and proposing corresponding prevention and control measures based on building characteristics. To this end, a comprehensive literature review on the transmission risk of Legionella in built environments was performed. Four electronic databases (PubMed, Web of Science, Google Scholar, and CNKI) were searched from inception to March 2024 for publications reporting the risk of Legionella transmission in built environments. Relevant articles and gray literature reports were hand-searched, and 96 studies were finally included. Legionella pollution comes from various sources, mainly originates in a variety of built environments in which human beings remain for extended periods. The sources, outbreaks, national standards, regulations, and monitoring techniques for Legionella in buildings are reviewed, in addition to increases in Legionella transmission risk due to poor maintenance of water systems and long-distance transmission events caused by aerosol characteristics. Air and water sampling using various analytical methods helps identify Legionella in the environment, recognize sources in the built environments, and control outbreaks. By comparing the standard regulations of national organizations globally, the authors further highlight gaps and deficiencies in Legionella surveillance in China. Such advancements offer essential insights and references for understanding and addressing Legionella transmission risk in the built environment, with the potential to contribute to safeguarding public health and building environment safety.
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Ambiente Construído , Legionella , Legionella/isolamento & purificação , Humanos , Legionelose/transmissão , Legionelose/prevenção & controle , Microbiologia do Ar , Surtos de Doenças/prevenção & controle , Monitoramento Ambiental , Microbiologia da Água , China/epidemiologiaRESUMO
The social determinants of health (SDoH) influence health outcomes based on conditions from birth, growth, living, and age factors. Diabetes is a chronic condition, impacted by race, education, and income, which may lead to serious health consequences. In Hawai'i, approximately 11.2% of adults have been diagnosed with diabetes. The objective of this secondary cross-sectional study is to assess the relationship between the prevalence of diabetes and the social determinants of health among Hawai'i adults who participated in the Behavioral Risk Factor Surveillance System between 2018-2020. The prevalence of diabetes among adults was 11.0% (CI: 10.4-11.5%). Filipino, Japanese and Native Hawaiian adults had the highest prevalence of diabetes at 14.4% (CI: 12.7-16.2%), 14.2% (CI: 12.7-15.7%), and 13.2% (CI: 12.0-14.4%), respectively. Poverty level and education were significantly associated with diabetes status. Within employment categories, the adjusted odds ratio (AOR) for retired and unable to work adults were large at AOR: 1.51 (CI: 1.26-1.81) and AOR: 2.91 (CI: 2.28-3.72), respectively. SDoH can impact the development and management of diabetes. Understanding the role SDoH plays on diabetes status is crucial for promoting health equity, building community capacity, and improving diabetes management.
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Diabetes Mellitus , Determinantes Sociais da Saúde , Humanos , Havaí/epidemiologia , Masculino , Determinantes Sociais da Saúde/estatística & dados numéricos , Feminino , Estudos Transversais , Adulto , Pessoa de Meia-Idade , Diabetes Mellitus/epidemiologia , Idoso , Prevalência , Sistema de Vigilância de Fator de Risco Comportamental , AdolescenteRESUMO
Local governments working in partnership with communities can institutionalize practices that promote health equity. We offer a case study of how one city in the US is implementing Health in All Policies (HiAP) with the explicit aim of promoting health equity. We use participant observations, original document reviews and interviews to describe how Richmond, California, is building new partnerships, programs and practices with community-based organizations and within government itself as part of the implementation of its HiAP Ordinance. We also report on indicators that were identified by community and government stakeholders for tracking progress toward improving place-based determinants of population health. We find that the responsibility for implementing Richmond's HiAP Ordinance rests on a new institution within local government and this entity is building new partnerships, promoting innovative policies and augmenting practices toward greater health equity. We also reveal how city governments and community partners can collaboratively track progress toward health equity using locally gathered data.
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There is evidence that neighbourhood walkability and greenery are associated with walking, but less is known about their joint associations. We investigated this using data from the AusDiab3 study (2011/12) with 3032 adults (mean age 60 years). Two-level logistic regression models were used with binary walking outcomes. There was an inverse relationship (r = -0.5) between walkability (a composite measure of residential, destinations and intersections densities) and greenery (the size of densely vegetated areas). However, both walkability and greenery were independently positively associated with odds of walking. Regarding joint associations, in low-walkability neighbourhoods, greenery was positively associated with walking. In high-walkability neighbourhoods, greenery was not associated with walking.
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We investigated whether neighborhood greenspaces were associated with physical activity in adulthood over 3 cohort visits after considering perceived safety and neighborhood contextual factors. We also evaluated whether the association with greenspace varied by neighborhood socioeconomic status. Participants (N = 4,800) from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two Brazilian state capitals were evaluated in Visits 1 (2008-2010), 2 (2012-2014) and 3 (2017-2019). Greenspaces were categorized by quintiles of positive Normalized Difference Vegetation Index (NDVI) scores. Physical activity frequency was given by the number of visits at which participants reported moderate/vigorous physical activity (none, 1 or 2, and 3 visits). We used multinomial logistic regression. After adjustment for age, sex, education, research center, residence in slums, individuals in the 4th and 5th NDVI quintiles showed 73% higher odds of physical activity over 3 visits than those in the 1st quintile (4th quintile: 95%CI = 1.24-2.43; 5th quintile: 95%CI = 1.24-2.41). The strength of the association was attenuated after adjustment for perceived safety. After adjustment for contextual factors quantity of sidewalks and streetlights, the OR for the 4th and 5th NDVI quintiles decreased to 1.66 (95%CI = 1.18-2.33) and 1.62 (95%CI = 1.16-2.28), respectively. Finally, after including average household income per capita, the OR for physical activity in 3 visits for the 4th and 5th NDVI quintiles decreased to 1.48 (95%CI = 1.04-2.12) and 1.43 (95%CI = 1.00-2.04; p = 0.053), respectively. Greater greenspace contributed to sustained physical activity during the eight years of follow-up, indicating the potential contribution of public greenspaces to reducing health-related inequalities.
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This study examined whether the built environment was associated with physical activity among adolescents in Oslo, Norway, and the role of socioeconomic position and gender as potential moderators of this association. We used data from 897 adolescents who participated in the TACKLE cross-sectional study conducted in 2020. Built environment features (recreational facilities, parks, forest, public transport, traffic calming devices, and schools) were assessed objectively using Geographical Information Systems. Physical activity data included device-measured moderate-to-vigorous physical activity, total physical activity, and self-reported active transportation to school. Using general linear models and logistic regression, we found that most built environment features were unrelated to the participants' device-measured physical activity. Longer distances to school and to traffic calming devices were associated with decreased likelihood of participants reporting active transportation to school. Our moderated regression analysis showed that adolescents with low socioeconomic backgrounds seemed less affected by longer distances to school compared with their high socioeconomic counterparts. Furthermore, boys appeared to be more sensitive to traffic safety relative to girls. Implementing traffic calming devices may enhance active transportation to school and improve traffic safety for Norwegian adolescents.
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Background: Cycling is known to be beneficial for human health. Studies have suggested significant associations of physical activity with macroscale built environments and streetscapes. However, whether good streetscapes can amplify the benefits of a favorable built environment on physical activity remains unknown. Objective: This study examines whether streetscape perceptions can modify the associations between accessibility, land use mix, and bike-sharing use. Methods: This cross-sectional study used data from 18,019,266 bike-sharing orders during weekends in Shanghai, China. A 500 × 500 m grid was selected as the analysis unit to allocate data. Bike-sharing use was defined as the number of bike-sharing origins. Street view images and a human-machine adversarial scoring framework were combined to evaluate lively, safety, and wealthy perceptions. Negative binomial regression was developed to examine the independent effects of the three perceptual factors in both the univariate model and fully adjusted model, controlling for population density, average building height, distance to nearest transit, number of bus stations, number of points of interest, distance to the nearest park, and distance to the central business district. The moderation effect was then investigated through the interaction term between streetscape perception and accessibility and land use mix, based on the fully adjusted model. We also tested whether the findings of streetscape moderation effects are robust when examinations are performed at different geographic scales, using a small-sample statistics approach and different operationalizations of land use mix and accessibility. Results: High levels of lively, safety, and wealthy perceptions were correlated with more bike-sharing activities. There were negative effects for the interactions between the land use Herfindahl-Hirschman index with the lively perception (ß=-0.63; P=.01) and safety perception (ß=-0.52; P=.001). The interaction between the lively perception and road intersection density was positively associated with the number of bike-sharing uses (ß=0.43; P=.08). Among these, the lively perception showed the greatest independent effect (ß=1.29; P<.001), followed by the safety perception (ß=1.22; P=.001) and wealthy perception (ß=0.72; P=.001). The findings were robust in the three sensitivity analyses. Conclusions: A safer and livelier streetscape can enhance the benefits of land use mix in promoting bike-sharing use, with a safer streetscape also intensifying the effect of accessibility. Interventions focused on streetscape perceptions can encourage cycling behavior and enhance the benefits of accessibility and land use mix. This study also contributes to the literature on potential moderators of built environment healthy behavior associations from the perspective of microscale environmental perceptions.
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Ciclismo , Humanos , Estudos Transversais , Ciclismo/estatística & dados numéricos , Ciclismo/psicologia , China , Planejamento Ambiental/estatística & dados numéricos , Ambiente Construído/estatística & dados numéricos , Masculino , Feminino , Características de Residência/estatística & dados numéricos , AdultoRESUMO
University students predominantly spend their time indoors, where prolonged exposure raises the risk of contact with microorganisms of concern. However, our knowledge about the microbial community characteristics on university campus and their underpinnings is limited. To address it, we characterized bacterial communities from the surfaces of various built environments typical of a university campus, including cafeterias, classrooms, dormitories, offices, meeting rooms, and restrooms, in addition to human skin. The classrooms harbored the highest α-diversity, while the cafeterias had the lowest α-diversity. The bacterial community composition varied significantly across different building types. Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Cyanobacteria were common phyla in university buildings, accounting for more than 90â¯% of total abundance. Staphylococcus aureus was the most abundant potential pathogen in classrooms, dormitories, offices, restrooms, and on human skin, indicating a potential risk for skin disease infections in these buildings. We further developed a new quantitative pathogenic risk assessment method according to the threat of pathogens to humans and found that classrooms exhibited the highest potential risk. The fast expectation-maximization algorithm identified 59â¯%-86â¯% of bacterial sources in buildings, with the human skin as the largest bacterial source for most buildings. As the sources of bacteria were highly traceable, we showed that homogeneous selection, dispersal limitation, and ecological drift were major ecological forces that drove community assembly. Our findings have important implications for predicting the distribution and sources of indoor dust bacterial communities on university campus.
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Bactérias , Universidades , Humanos , Bactérias/isolamento & purificação , Bactérias/classificação , Staphylococcus aureus , Pele/microbiologia , Microbiota , Monitoramento Ambiental , Medição de RiscoRESUMO
BACKGROUND: It remains unknown whether good neighbourhood perception can enhance the benefits of favourable built environment to physical activity. Moreover, the moderation pattern is less understood in developing countries. OBJECTIVES: This work aims to examine the moderation effects of perceived neighbourhood safety and aesthetics on the relationship between built environment and time for recreational walking. METHODS: We performed the examination using a sample of 760 residents in Fuzhou City, China. The Negative Binomial Regression Model was developed to examine the moderation roles of neighbourhood safety and aesthetics on the impact of built environment, adjusting for the effects of location, socioeconomic, personal preferences and social environment factors. Moreover, two sensitivity analyses were performed to test whether the moderators found are robust to the control of residential self-selection, and differential measures of conceptually-comparable aspects of built environment. RESULTS: We found stronger associations of time for recreational walking with road density and proportion of parks and squares POIs for residents with high perception of neighbourhood safety, compared to those with low perception of neighbourhood safety. There was a greater effect of the proportion of parks and squares POIs, when perceived aesthetics was high than when perceived aesthetics was low. The findings of neighbourhood safety and aesthetics as moderator, were robust in the two sensitivity analyses. No significant moderation effect was found for land use diversity. CONCLUSIONS: High perceived neighbourhood safety can magnify the positive effects of road connectivity and accessibility to parks and squares. Neighbourhood aesthetics positively moderates the association of time for recreational walking with accessibility to parks and squares. The findings emphasize the need to consider safety- and aesthetics-specific differences in estimates of built environment effects. Improvements in neighbourhood safety and aesthetics are key to effective interventions in built environment to better promote physical activity.
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Ambiente Construído , Caminhada , Humanos , China , Caminhada/estatística & dados numéricos , Caminhada/psicologia , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Estética , Características da Vizinhança , Segurança , Características de Residência/estatística & dados numéricos , Planejamento Ambiental , Recreação , Percepção , Adulto JovemRESUMO
Food insecurity is pervasive in Allegheny County, as one in five residents experiences food insecurity. Food insecurity is linked to chronic health conditions like heart disease and hypertension and disproportionately affects women in the United States, particularly women who are head of household. There are multiple dimensions used to measure regional disparities in food accessibility. Prior research has examined the linkages between food access and food insecurity, and this study aims to explore further the relationship between equitable access to sustainable and affordable food sources. This study examines food outlets in Allegheny County to determine if there is a significant relationship between food outlet availability and food insecurity. Both the presence and accessibility of these food outlets were examined. To measure accessibility, the walking distance to the nearest public transportation stop was calculated for each public transportation stop. The minimum distance to each food outlet was compared to food insecurity rates on a census tract level. Results showed that communities without grocery stores had lower access to healthy and affordable food sources. Also, communities with a higher proportion of female-headed households experienced greater food insecurity, regardless of access to food outlets. There was no statistically significant relationship between the distance from public transportation stops to grocery stores and rates of food insecurity overall and in low-income communities. However, communities with inaccessible grocery stores, either absent in the census tract or without close public transport stops, did have even greater average rates of food insecurity if there was an above-average proportion of female-headed households. Based on these findings, it is evident there exist structural elements of the built environment that correspond with disproportionate rates of food insecurity experienced by communities with households that are predominately female headed. In addition to resource support for these marginalized groups, we suggest that sole reliance on distance as an indicator of food insecurity can be misleading. There should be a greater focus on walkability aggregated on a household or individual level within the community instead of physical distance alone at a general scale.
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Ambiente Construído , Insegurança Alimentar , Humanos , Feminino , Ambiente Construído/estatística & dados numéricos , Abastecimento de Alimentos/estatística & dados numéricos , Masculino , Fatores Sexuais , Características de Residência/estatística & dados numéricos , Illinois , Populações Vulneráveis/estatística & dados numéricos , Supermercados , Meios de Transporte/estatística & dados numéricosRESUMO
Air pollution exposure has been linked to a variety of adverse health outcomes among minors; yet little is known about the associated health inequity across regions and schools. Here, we assessed the unequal health burden linked to particulate matter exposure among minors of 10,358 schools in China through 12,439,232 individual health records. Our findings highlight the persistent health risks with superlinear concentration-response patterns and following inverted U-shaped risk trends, that each 10 µg/m3 increase in PM2.5 exposure resulted in 4.1% (3.9-4.2%) additional school absenteeism risk. Compared to urban well-built schools, minors in rural poor-built schools experienced significantly higher exposure and slower rate of risk reduction and had over 80.0% less medical resources while bearing 145.2% of the health burden. Disparities in pollution exposure, built environment, and resource allocation are intertwined to shape the health inequity pattern, especially between rural and urban schools. These findings underscore the urgency for persistent efforts aimed at disadvantaged schools to reduce pollution exposure and equitably distribute social resources, ultimately securing an impartial health-centered education for minors.
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Poluição do Ar , Humanos , China , Material Particulado , Instituições Acadêmicas , Adolescente , Exposição Ambiental , Criança , Poluentes Atmosféricos , Feminino , Masculino , População RuralRESUMO
Numerous studies have suggested that the perceived built environment is shaped by the objective built environment and influences human physical activity. However, the empirical examination of this pathway remains scant. Addressing this gap, our study investigates whether the built environment affects leisure-time physical activity through its impact on the perceived built environment, utilizing data collected from 760 residents in Fuzhou, China. Structural Equation Modeling results reveal a modest correlation between objective and perceived built environment elements, with the objective built environment being a stronger predictor of leisure-time physical activity. Notably, perceived recreational facilities significantly mediate the relationship between objective recreational facilities and leisure-time physical activity, accounting for 15% of the variance in physical activity due to objective recreational facilities. This mediation effect is consistent across subpopulations, irrespective of residential self-selection biases. These results highlight the imperative for urban planning and policy to extend beyond mere spatial allocation of amenities to enhancing both the actual and perceived accessibility of these facilities, thus underlining the study's profound implications for public health and urban development strategies.
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Ambiente Construído , Cidades , Exercício Físico , Atividades de Lazer , Humanos , China , Feminino , Masculino , Adulto , Pessoa de Meia-Idade , Planejamento Ambiental , Adulto Jovem , Planejamento de CidadesRESUMO
China's unprecedented rapid urbanization has dramatically reshaped the urban built environment, disrupting the thermal balance of cities. This disruption causes the urban heat island (UHI) effect, adversely affecting urban sustainability and public health. Although studies have highlighted the remarkable impacts of the built environment on UHIs, the specific effects of its various structures and components remain unclear. In this study, a multidimensional remote sensing data set was used to quantify the atmospheric UHIs across 335 Chinese cities from 1980 to 2020. In conjunction with stocks of three end-use sectors and three material groups, the impacts of gridded material stocks on UHI variations were analyzed. The findings reveal that building stocks exert a predominant influence in 48% of cities. Additionally, the extensive use of metal and inorganic materials has increased thermal stress in 220 cities, leading to an average UHI increase of 0.54 °C. The effect of organic materials, primarily arising from mobile heat sources, is continuously increasing. Overall, this study elucidates the effect of the functional structure and material composition of urban landscapes on UHIs, highlighting the complexities associated with the influence of the built environment on the urban heat load.