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Background: To assess how perceptions of the community built environment influence support for community policies that promote physical activity (PA).
Methods: A national cross-sectional survey assessed perceptions of the local built environment and support of community policies, including school and workplace policies, promoting PA. A random digit-dialed telephone survey was conducted in US counties selected on Behavioral Risk Factor Surveillance System data for high or low prevalence of obesity and inactivity. A total of 1208 subjects were interviewed, 642 from high-prevalence counties and 566 from low-prevalence counties. Analyses were stratified by county prevalence of obesity and inactivity (high or low). Linear models adjusted for covariates were constructed to assess the influence of built environment perceptions on policy support.
Results: Perception of more destinations near the residence was associated with increased support for community policies that promote PA, including tax increases in low-prevalence (obesity and inactivity) counties (P < .01). Positive perception of the workplace environment was associated (P < .001) with increased support for workplace policies among those in high-, but not low-, prevalence counties.
Conclusions: Support for community policies promoting PA varies by perception of the built environment, which has implications for policy change.
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http://dx.doi.org/10.1123/jpah.2018-0174 | DOI Listing |
Environ Monit Assess
September 2025
Department of Environment and Life Science, KSKV Kachchh University, Bhuj, Gujarat, 370 001, India.
India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions.
View Article and Find Full Text PDFJ Radiol Prot
September 2025
Centre for Radiation Protection Research, Stockholm University, Svante Arrheniusväg 20C, 106 91 Stockholm, Sweden.
The System of Radiological Protection (the "System") developed by the International Commission on Radiological Protection (ICRP) is built on nearly a century of efforts of numerous scientists and practitioners working together internationally. It rests on three enduring pillars: science, ethics, and experience. These pillars support the three fundamental principles that shape radiological protection strategies: justification, optimisation, and application of dose limits.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control, School of Energy and Mechanical Engineering, Jiangxi University of Science and Technology, Nanchang, 330013, Jiangxi Province, China.
The quest for sustainable and clean energy sources has led to significant research into photocatalytic water splitting, a process that converts solar energy into hydrogen fuel. This study demonstrates constructing a high-performance CdTe/CN van der Waals heterojunction for solar-driven water splitting hydrogen evolution. The proposed CdTe/CN heterojunction, investigated using first-principles calculations, integrates favorable structural stability and features a direct bandgap of 1.
View Article and Find Full Text PDFS Afr Fam Pract (2004)
August 2025
Department of Software Engineering, Faculty of Engineering, Built Environment and Technology, Nelson Mandela University, Gqeberha.
Background: Problematic Smartphone Use (PSU) is a growing concern, particularly among university students, due to its potential negative impacts on mental health, academic performance, and daily functioning. Characterized by compulsive smartphone use, PSU is linked to anxiety, depression, and sleep disturbances. Understanding PSU in university settings is essential for creating effective interventions.
View Article and Find Full Text PDFNat Methods
September 2025
Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
The growing availability of single-cell omics datasets presents new opportunities for reuse, while challenges in data transfer, normalization and integration remain a barrier. Here we present scvi-hub: a platform for efficiently sharing and accessing single-cell omics datasets using pretrained probabilistic models. It enables immediate execution of fundamental tasks like visualization, imputation, annotation and deconvolution on new query datasets using state-of-the-art methods, with massively reduced storage and compute requirements.
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