Although a desired rehabilitation goal, research continues to document that community integration significantly lags behind housing stability success rates for people of a variety of ages who used to be homeless. While accessibility to resources is an environmental factor that may promote or impede integration activity, there has been little empirical investigation into the impact of proximity of community features on resource use and integration. Using a Geographic Information Systems (GIS) approach, the current study examines how accessibility or proximity to community features in Boston, United States related to the types of locations used and the size of an individual's "activity space," or spatial presence in the community. Significant findings include an inverse relationship between activity space size and proximity to the number and type of community features in one's immediate area. Specifically, larger activity spaces were associated with neighborhoods with less community features, and smaller activity spaces corresponded with greater availability of resources within one's immediate area. Activity space size also varied, however, based on proximity to different types of resources, namely transportation and health care. Greater community function, or the ability to navigate and use community resources, was associated with better accessibility and feeling part of the community. Finally, proximity to a greater number of individual identified preferred community features was associated with better social integration. The current study suggests the ongoing challenges of successful integration may vary not just based on accessibility to, but relative importance of, specific community features and affinity with one's surroundings. Community integration researchers and housing providers may need to attend to the meaning attached to resources, not just presence or use in the community.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.socscimed.2014.09.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integrated analysis of rumen metabolomics and metataxonomics to understand changes in metabolic and microbial community in Korean native goats under heat stress.
Sci Rep
December 2024
Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Heat stress (HS) is an impactful condition in ruminants that negatively affects their physiological and rumen microbial composition. However, a fundamental understanding of metabolomic and metataxonomic mechanisms in goats under HS conditions is lacking. Here, we analyzed the rumen metabolomics, metataxonomics, and serum metabolomics of goats (n = 10, body weight: 41.
View Article and Find Full Text PDFDistinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.
BioData Min
December 2024
School of Computing, Queen's University, 557 Goodwin Hall, 21-25 Union St, Kingston, K7L 2N8, Ontario, Canada.
Background: Epistasis, the phenomenon where the effect of one gene (or variant) is masked or modified by one or more other genes, significantly contributes to the phenotypic variance of complex traits. Traditionally, epistasis has been modeled using the Cartesian epistatic model, a multiplicative approach based on standard statistical regression. However, a recent study investigating epistasis in obesity-related traits has identified potential limitations of the Cartesian epistatic model, revealing that it likely only detects a fraction of the genetic interactions occurring in natural systems.
View Article and Find Full Text PDFTacrolimus-induced thrombotic microangiopathy (TMA) after heart and lung transplantation successfully treated with eculizumab.
Transpl Immunol
December 2024
Pulmonary, Critical Care and Cardiothoracic Surgery, Northwell Health Systems, 300 Community Dr, Manhasset, NY 11030, United States of America.
Introduction: Tacrolimus-induced thrombotic microangiopathy (TMA) causing acute kidney injury (AKI) without systemic features is a rare entity, particularly after non-renal solid organ transplantation.
Case Report: We describe the case of a patient with AKI after combined heart and lung transplantation. Renal biopsy revealed acute thrombotic microangiopathy which ultimately prompted initiation of eculizumab, a monoclonal antibody targeted against complement C5, with subsequent recovery in renal function.
Silent circulation of plasmid-borne tet(X6) and bla genes in a community-acquired Acinetobacter baumannii strain.
Drug Resist Updat
December 2024
Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, China. Electronic address:
To characterize the genomic features of a community-acquired Acinetobacter baumannii strain, co-carrying tet(X6) and bla genes, but was susceptible to tigecycline and carbapenems. The tet(X6) and bla genes were found on a 149,518 bp non-conjugative plasmid. The bla gene was silent, due to the presence of an intact ISAba3-like element upstream, which rendered the strain susceptible to carbapenems.
View Article and Find Full Text PDFIntegrating EPSOSA-BP neural network algorithm for enhanced accuracy and robustness in optimizing coronary artery disease prediction.
Sci Rep
December 2024
The Key Laboratory for Computer Systems of State Ethnic Affairs Commission, School of Computer and Artificial Intelligence, Southwest Minzu University, Chengdu, 610041, China.
Coronary artery disease represents a formidable health threat to middle-aged and elderly populations worldwide. This research introduces an advanced BP neural network algorithm, EPSOSA-BP, which integrates particle swarm optimization, simulated annealing, and a particle elimination mechanism to elevate the precision of heart disease prediction models. To address prior limitations in feature selection, the study employs single-hot encoding and Principal Component Analysis, thereby enhancing the model's feature learning capability.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!