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1.
J Phys Act Health ; 8 Suppl 1: S109-15, 2011 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-21350251

RESUMO

BACKGROUND: Improving parks in low income and minority neighborhoods may be a key way to increase physical activity and decrease overweight and obesity prevalence among children at the greatest risk. To advocate effectively for improved recreation infrastructure, public health advocates must understand the legal and policy landscape in which public recreation decisions are made. METHODS: In this descriptive legal analysis, we reviewed federal, state, and local laws to determine the authority of each level of government over parks. We then examined current practices and state laws regarding park administration in urban California and rural Texas. RESULTS: We identified several themes through the analysis: (1) multiple levels of governments are often involved in parks offerings in a municipality, (2) state laws governing parks vary, (3) local authority may vary substantially within a state, and (4) state law may offer greater authority than local jurisdictions use. CONCLUSIONS: Public health advocates who want to improve parks need to (1) think strategically about which levels of government to engage; (2) identify parks law and funding from all levels of government, including those not typically associated with local parks; and (3) partner with advocates with similar interests, including those from active living and school communities.


Assuntos
Logradouros Públicos/legislação & jurisprudência , Política Pública/legislação & jurisprudência , Recreação , Humanos , Áreas de Pobreza , Estados Unidos
2.
J Behav Health Serv Res ; 36(3): 300-8, 2009 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-19089640

RESUMO

This study assessed factors associated with extended length of stay (ELOS) for patients presenting to a psychiatric emergency service (PES). Two hundred six subjects with a length of stay of 24 h or longer were compared with time-matched controls (patients that presented directly after the ELOS patient). Binary logistic regression was used to identify risk factors for ELOS. ELOS was associated with suicidal ideation, disposition to an inpatient unit, homicidal ideation, lack of insurance, homelessness, male gender, past history of psychiatric hospitalization, diagnosis of substance abuse, significant psychiatric co-morbidity (represented by three or more Axis I diagnoses), and diagnosis of a psychotic disorder. Lack of insurance, suicidal ideation, disposition to inpatient unit, and homicidal ideation all made nonredundant contributions to predicting stays of 24 h or longer.


Assuntos
Serviços de Emergência Psiquiátrica , Tempo de Internação/tendências , Adulto , Estudos de Casos e Controles , Feminino , Hospitais Urbanos , Humanos , Masculino , Massachusetts , Auditoria Médica , Pessoa de Meia-Idade , Unidade Hospitalar de Psiquiatria , Estudos Retrospectivos , Fatores de Risco
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