Community safety: partnerships across boundaries in England

2013 ◽  
pp. 283-299
Keyword(s):  
Community Safety

scholarly journals The Correlates of Cognitive Status Among Older Americans Living in the Community: Does Gender Make a Difference?

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 63-63
Author(s):  
Ethan Siu Leung Cheung ◽  
Ada Mui ◽  
Seth Hoffman
Keyword(s):  
Gender Differences ◽  
Older Women ◽  
Short Form ◽  
Cognitive Impairments ◽  
Older Men ◽  
Cognitive Status ◽  
Ethnic Composition ◽  
Community Safety ◽  
Independent Effect ◽  
Community Factors

Abstract Utilizing the data in National Social Life, Health and Aging Project (n = 3,104; 54% female), the study examined the predictors of cognitive impairments in terms of community harmony, community safety, frequency of neighbor contacts, depression, and demographic factors. Bivariate analyses suggest that there were no gender differences in cognitive status (Mean of MoCA Short Form = 9.89; SD = 3.33); nor were there gender differences in age (mean age = 72.95; SD=8.29), ethnic composition (76.1% whites; 15.3% Blacks, 8.6% Asian), community harmony, community safety, frequency of neighbor contacts. On the other hand, men had more education and income than women. Psychologically, older women reported higher level of stress and depression scores than older men. Multiple regression results show that gender has a significant independent effect and joint effects with stressors and community factors in explaining cognitive impairments. Parallel regression analyses for each gender group were conducted and models were significant (P < .0001). There were common predictors of cognitive impairments for the two groups but variables had differential impacts on older men and older women. Specifically, IADL had stronger effect on older men than on older women in predicting cognitive impairments (b = -.23 vs. b=-.10); perceived community harmony had stronger impact on older women in explaining their cognitive status (b = .26 vs. b=.22); older women’s cognitive status benefitted more from perceived community safety than older men (b = .61 vs. b=.43). Regardless of gender, older Whites scored higher than Black and Asian elders in their cognition scores.

Understanding Health Need and Services Received by Youth in Foster Care in Community Safety-Net Health Centers in Oregon

2021 ◽  
Vol 32 (2) ◽  
pp. 783-798
Author(s):  
Frances L. Lynch ◽  
Megan J. Hoopes ◽  
Brigit A. Hatch ◽  
Maryjane Dunne ◽  
Annie E. Larson ◽  
...  
Keyword(s):  
Foster Care ◽  
Safety Net ◽  
Health Centers ◽  
Community Safety ◽  
Health Need ◽  
Youth In Foster Care

How Community and Individual Risk Factors Mutually Impact Youth’s Perceived Safety: A Syndemic Analysis Using Structural Equation Modeling

2021 ◽  
pp. 088626052110283
Author(s):  
Yingwei Yang ◽  
Karen D. Liller ◽  
Martha Coulter ◽  
Abraham Salinas-Miranda ◽  
Dinorah Martinez Tyson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Community Safety ◽  
Equation Modeling ◽  
Individual Risk ◽  
Latent Factor ◽  
Community Factors ◽  
Individual Risk Factors ◽  
Syndemic Theory

The purpose of this study was to evaluate the mutual impact of community and individual factors on youth’s perceptions of community safety, using structural equation modeling (SEM) conceptualized by syndemic theory. This study used survey data collected from a county wide sample of middle and high school students (N=25,147) in West Central Florida in 2015. The outcome variable was youth’s perceptions of community safety. Predictors were latent individual and community factors constructed from 14 observed variables including gun accessibility, substance use, depressive symptoms, and multiple neighborhood disadvantage questions. Three structural equation models were conceptualized based on syndemic theory and analyzed in Mplus 8 using weighted least squares (WLS) estimation. Each model’s goodness of fit was assessed. Approximately seven percent of youth reported feeling unsafe in their community. After model modifications, the final model showed a good fit of the data and adhered to the theoretical assumption. In the final SEM model, an individual latent factor was implied by individual predictors measuring gun accessibility without adult’s permission (β=0.70), sadness and hopelessness (β=0.52), alcohol use (β=0.79), marijuana use (β=0.94), and illegal drug use (β=0.77). Meanwhile, a community latent factor was indicated by multiple community problems including public drinking (β=0.88), drug addiction (β=0.96), drug selling (β=0.97), lack of money (β=0.83), gang activities (β=0.90), litter and trash (β=0.79), graffiti (β=0.91), deserted houses (β=0.86), and shootings (β=0.93). A second-order syndemic factor that represented the individual and community factors showed a very strong negative association with youth’s safe perception (β=-0.98). This study indicates that individual risk factors and disadvantaged community conditions interacted with each other and mutually affected youth’s perceptions of community safety. To reduce these co-occurring effects and improve safe perceptions among youth, researchers and practitioners should develop and implement comprehensive strategies targeting both individual and community factors.

scholarly journals Resilience from coastal protection

2015 ◽  
Vol 373 (2053) ◽  
pp. 20140383 ◽  
Author(s):  
Lesley C. Ewing
Keyword(s):  
Cultural Values ◽  
San Francisco ◽  
Coastal Communities ◽  
Coastal Hazards ◽  
Community Safety ◽  
Coastal Protection ◽  
Shore Protection ◽  
Coastal Community ◽  
Effective Community ◽  
Key Aspects

Coastal areas are important residential, commercial and industrial areas; but coastal hazards can pose significant threats to these areas. Shoreline/coastal protection elements, both built structures such as breakwaters, seawalls and revetments, as well as natural features such as beaches, reefs and wetlands, are regular features of a coastal community and are important for community safety and development. These protection structures provide a range of resilience to coastal communities. During and after disasters, they help to minimize damages and support recovery; during non-disaster times, the values from shoreline elements shift from the narrow focus on protection. Most coastal communities have limited land and resources and few can dedicate scarce resources solely for protection. Values from shore protection can and should expand to include environmental, economic and social/cultural values. This paper discusses the key aspects of shoreline protection that influence effective community resilience and protection from disasters. This paper also presents ways that the economic, environmental and social/cultural values of shore protection can be evaluated and quantified. It presents the Coastal Community Hazard Protection Resilience (CCHPR) Index for evaluating the resilience capacity to coastal communities from various protection schemes and demonstrates the use of this Index for an urban beach in San Francisco, CA, USA.

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