Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Détail de l'auteur
Auteur Christopher J. BATES |
Documents disponibles écrits par cet auteur (2)
Faire une suggestion Affiner la recherche
Living alongside more affluent neighbors predicts greater involvement in antisocial behavior among low-income boys / Candice L. ODGERS in Journal of Child Psychology and Psychiatry, 56-10 (October 2015)
[article]
Titre : Living alongside more affluent neighbors predicts greater involvement in antisocial behavior among low-income boys Type de document : Texte imprimé et/ou numérique Auteurs : Candice L. ODGERS, Auteur ; Sachiko DONLEY, Auteur ; Avshalom CASPI, Auteur ; Christopher J. BATES, Auteur ; Terrie E. MOFFITT, Auteur Article en page(s) : p.1055-1064 Langues : Anglais (eng) Mots-clés : Children's antisocial behavior socioeconomic status economic inequality neighborhood poverty economically mixed communities sex differences Index. décimale : PER Périodiques Résumé : Background The creation of economically mixed communities has been proposed as one way to improve the life outcomes of children growing up in poverty. However, whether low-income children benefit from living alongside more affluent neighbors is unknown. Method Prospectively gathered data on over 1,600 children from the Environmental Risk (E-Risk) Longitudinal Twin Study living in urban environments is used to test whether living alongside more affluent neighbors (measured via high-resolution geo-spatial indices) predicts low-income children's antisocial behavior (reported by mothers and teachers at the ages of 5, 7, 10, and 12). Results Results indicated that low-income boys (but not girls) surrounded by more affluent neighbors had higher levels of antisocial behavior than their peers embedded in concentrated poverty. The negative effect of growing up alongside more affluent neighbors on low-income boys' antisocial behavior held across childhood and after controlling for key neighborhood and family-level factors. Conclusions Findings suggest that efforts to create more economically mixed communities for children, if not properly supported, may have iatrogenic effects on boys' antisocial behavior. En ligne : http://dx.doi.org/10.1111/jcpp.12380 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=269
in Journal of Child Psychology and Psychiatry > 56-10 (October 2015) . - p.1055-1064[article] Living alongside more affluent neighbors predicts greater involvement in antisocial behavior among low-income boys [Texte imprimé et/ou numérique] / Candice L. ODGERS, Auteur ; Sachiko DONLEY, Auteur ; Avshalom CASPI, Auteur ; Christopher J. BATES, Auteur ; Terrie E. MOFFITT, Auteur . - p.1055-1064.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-10 (October 2015) . - p.1055-1064
Mots-clés : Children's antisocial behavior socioeconomic status economic inequality neighborhood poverty economically mixed communities sex differences Index. décimale : PER Périodiques Résumé : Background The creation of economically mixed communities has been proposed as one way to improve the life outcomes of children growing up in poverty. However, whether low-income children benefit from living alongside more affluent neighbors is unknown. Method Prospectively gathered data on over 1,600 children from the Environmental Risk (E-Risk) Longitudinal Twin Study living in urban environments is used to test whether living alongside more affluent neighbors (measured via high-resolution geo-spatial indices) predicts low-income children's antisocial behavior (reported by mothers and teachers at the ages of 5, 7, 10, and 12). Results Results indicated that low-income boys (but not girls) surrounded by more affluent neighbors had higher levels of antisocial behavior than their peers embedded in concentrated poverty. The negative effect of growing up alongside more affluent neighbors on low-income boys' antisocial behavior held across childhood and after controlling for key neighborhood and family-level factors. Conclusions Findings suggest that efforts to create more economically mixed communities for children, if not properly supported, may have iatrogenic effects on boys' antisocial behavior. En ligne : http://dx.doi.org/10.1111/jcpp.12380 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=269 Systematic social observation of children’s neighborhoods using Google Street View: a reliable and cost-effective method / Candice L. ODGERS in Journal of Child Psychology and Psychiatry, 53-10 (October 2012)
[article]
Titre : Systematic social observation of children’s neighborhoods using Google Street View: a reliable and cost-effective method Type de document : Texte imprimé et/ou numérique Auteurs : Candice L. ODGERS, Auteur ; Avshalom CASPI, Auteur ; Christopher J. BATES, Auteur ; Robert J. SAMPSON, Auteur ; Terrie E. MOFFITT, Auteur Année de publication : 2012 Article en page(s) : p.1009-17 Langues : Anglais (eng) Mots-clés : Systematic social observation Google Street View neighborhood disorder neighborhood deprivation antisocial behavior body mass index Index. décimale : PER Périodiques Résumé : Background: Children growing up in poor versus affluent neighborhoods are more likely to spend time in prison, develop health problems and die at an early age. The question of how neighborhood conditions influence our behavior and health has attracted the attention of public health officials and scholars for generations. Online tools are now providing new opportunities to measure neighborhood features and may provide a cost effective way to advance our understanding of neighborhood effects on child health. Method: A virtual systematic social observation (SSO) study was conducted to test whether Google Street View could be used to reliably capture the neighborhood conditions of families participating in the Environmental-Risk (E-Risk) Longitudinal Twin Study. Multiple raters coded a subsample of 120 neighborhoods and convergent and discriminant validity was evaluated on the full sample of over 1,000 neighborhoods by linking virtual SSO measures to: (a) consumer based geo-demographic classifications of deprivation and health, (b) local resident surveys of disorder and safety, and (c) parent and teacher assessments of children’s antisocial behavior, prosocial behavior, and body mass index. Results: High levels of observed agreement were documented for signs of physical disorder, physical decay, dangerousness and street safety. Inter-rater agreement estimates fell within the moderate to substantial range for all of the scales (ICCs ranged from .48 to .91). Negative neighborhood features, including SSO-rated disorder and decay and dangerousness corresponded with local resident reports, demonstrated a graded relationship with census-defined indices of socioeconomic status, and predicted higher levels of antisocial behavior among local children. In addition, positive neighborhood features, including SSO-rated street safety and the percentage of green space, were associated with higher prosocial behavior and healthy weight status among children. Conclusions: Our results support the use of Google Street View as a reliable and cost effective tool for measuring both negative and positive features of local neighborhoods. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02565.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181
in Journal of Child Psychology and Psychiatry > 53-10 (October 2012) . - p.1009-17[article] Systematic social observation of children’s neighborhoods using Google Street View: a reliable and cost-effective method [Texte imprimé et/ou numérique] / Candice L. ODGERS, Auteur ; Avshalom CASPI, Auteur ; Christopher J. BATES, Auteur ; Robert J. SAMPSON, Auteur ; Terrie E. MOFFITT, Auteur . - 2012 . - p.1009-17.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 53-10 (October 2012) . - p.1009-17
Mots-clés : Systematic social observation Google Street View neighborhood disorder neighborhood deprivation antisocial behavior body mass index Index. décimale : PER Périodiques Résumé : Background: Children growing up in poor versus affluent neighborhoods are more likely to spend time in prison, develop health problems and die at an early age. The question of how neighborhood conditions influence our behavior and health has attracted the attention of public health officials and scholars for generations. Online tools are now providing new opportunities to measure neighborhood features and may provide a cost effective way to advance our understanding of neighborhood effects on child health. Method: A virtual systematic social observation (SSO) study was conducted to test whether Google Street View could be used to reliably capture the neighborhood conditions of families participating in the Environmental-Risk (E-Risk) Longitudinal Twin Study. Multiple raters coded a subsample of 120 neighborhoods and convergent and discriminant validity was evaluated on the full sample of over 1,000 neighborhoods by linking virtual SSO measures to: (a) consumer based geo-demographic classifications of deprivation and health, (b) local resident surveys of disorder and safety, and (c) parent and teacher assessments of children’s antisocial behavior, prosocial behavior, and body mass index. Results: High levels of observed agreement were documented for signs of physical disorder, physical decay, dangerousness and street safety. Inter-rater agreement estimates fell within the moderate to substantial range for all of the scales (ICCs ranged from .48 to .91). Negative neighborhood features, including SSO-rated disorder and decay and dangerousness corresponded with local resident reports, demonstrated a graded relationship with census-defined indices of socioeconomic status, and predicted higher levels of antisocial behavior among local children. In addition, positive neighborhood features, including SSO-rated street safety and the percentage of green space, were associated with higher prosocial behavior and healthy weight status among children. Conclusions: Our results support the use of Google Street View as a reliable and cost effective tool for measuring both negative and positive features of local neighborhoods. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02565.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181