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Chronic disease prevalence in the US: sociodemographic and geographic variations by zip code tabulation area
Introduction We examined the geographic distribution and sociodemographic and economic
characteristics of chronic disease prevalence in the US. Understanding disease prevalence …
characteristics of chronic disease prevalence in the US. Understanding disease prevalence …
Opening the human spirit to sustainability transformation: the potential for individual human–nature resonance and integrative rituals
S Müller, M Artmann, C Surrey - Sustainability Science, 2023 - Springer
Urgent calls by the younger generation and the scientific community to approach
sustainability only seem to scratch the surface of individuals' awareness while ecological …
sustainability only seem to scratch the surface of individuals' awareness while ecological …
Low-income families' direct participation in food-systems innovation to promote healthy food behaviors
A Katre, B Raddatz - Nutrients, 2023 - mdpi.com
Low-income families, especially those who reside in food deserts, face significant systemic
barriers regarding their ability to access affordable and nutritious food. The food behaviors …
barriers regarding their ability to access affordable and nutritious food. The food behaviors …
[HTML][HTML] Development of an instrument to measure perceived gentrification for health research: perceptions about changes in environments and residents (PACER)
Despite a myriad of potential pathways linking neighborhood change and gentrification to
health, existing quantitative measures failed to capture individual-level, self-reported …
health, existing quantitative measures failed to capture individual-level, self-reported …
An interpretable machine learning model of cross-sectional US county-level obesity prevalence using explainable artificial intelligence
B Allen - Plos one, 2023 - journals.plos.org
Background There is considerable geographic heterogeneity in obesity prevalence across
counties in the United States. Machine learning algorithms accurately predict geographic …
counties in the United States. Machine learning algorithms accurately predict geographic …
[HTML][HTML] Validation of the physical activity neighborhood environment scale using geographic information systems among urban men and women in regional China
Q Ye, Z Qin, Z Xu, Y Yang, B Zhang, F Xu… - Preventive Medicine …, 2024 - Elsevier
Aims To examine the concurrent validity of the Chinese version of Physical Activity
Neighborhood Environment Scale (PANES-CHN) among urban adults in regional China …
Neighborhood Environment Scale (PANES-CHN) among urban adults in regional China …
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Background In the United States (US), incidence of early age of onset colorectal cancer
(EOCRC, diagnosed< 50 years of age) has been increasing. Using a Bayesian analytic …
(EOCRC, diagnosed< 50 years of age) has been increasing. Using a Bayesian analytic …
[HTML][HTML] Using explainable artificial intelligence to discover interactions in an ecological model for obesity
Ecological theories suggest that environmental, social, and individual factors interact to
cause obesity. Yet, many analytic techniques, such as multilevel modeling, require manual …
cause obesity. Yet, many analytic techniques, such as multilevel modeling, require manual …
Animal control and field services officers' perspectives on community engagement: A qualitative phenomenology study
LR Moss, SM Hawes, K Connolly, M Bergstrom… - Animals, 2022 - mdpi.com
Simple Summary There is a critical gap in the literature regarding how community
engagement is employed to address animal cruelty and neglect. This study sought to …
engagement is employed to address animal cruelty and neglect. This study sought to …
County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States
Objective To examine differences in the incidence and prevalence of diagnosed diabetes by
county rurality. Patients and Methods This observational, cross-sectional study used US …
county rurality. Patients and Methods This observational, cross-sectional study used US …