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Development and validation of statewide survey-based measures of livability in Connecticut.
Dsouza, Nishita; Carroll-Scott, Amy; Bilal, Usama; Headen, Irene E; Quick, Harrison; Reis, Rodrigo; Abraham, Mark; Martinez-Donate, Ana P.
Afiliação
  • Dsouza N; Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: nd2768@columbia.edu.
  • Carroll-Scott A; Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: ac3343@drexel.edu.
  • Bilal U; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: ub45@drexel.edu.
  • Headen IE; Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: ieh27@drexel.edu.
  • Quick H; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: hsq23@drexel.edu.
  • Reis R; Brown School, Washington University in St Louis, St. Louis, MO, USA; Graduate Program in Urban Management, Pontifical Catholic University of Parana, Curitiba, Brazil. Electronic address: rreis@wustl.edu.
  • Abraham M; DataHaven, New Haven, CT, USA. Electronic address: info@datahavenct.org.
  • Martinez-Donate AP; Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA. Electronic address: apm78@drexel.edu.
Health Place ; 89: 103282, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38838581
ABSTRACT
Livability, or how a place and its systems (e.g., housing, transportation) supports the ability to lead a livable life, is a determinant of health. There is a lack of standard, validated measures to assess livability in the US. This study employed factor analytic methods to create measures of livability in Connecticut using data from the DataHaven Community Wellbeing Survey (DCWS) (n = 32,262). Results identified a 3-factor model (safety, opportunity, and infrastructure) as the best fit, explaining 69% of the variance in survey items. Newly created livability measures had high internal consistency, in addition to high convergent validity with other area-level measures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Segurança Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Segurança Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article