Titre :
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Childhood Social Disadvantage, Cardiometabolic Risk, and Chronic Disease in Adulthood (2014)
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Auteurs :
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Amy-L NON ;
Marissa REWAK ;
Department of Social and Behavioral Sciences, Harvard School of Public Health (Boston MA, Etats-Unis) ;
Department of Epidemiology, Brown University School of Public Health (Providence RI, Etats-Unis) ;
Ichiro Kawachi ;
Stephen-E GILMAN ;
Eric-B LOUCKS ;
Allison-A APPLETON ;
Jorge-C ROMAN ;
Stephen-L BUKA ;
Laura-D KUBZANSKY
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Type de document :
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Article
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Dans :
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American journal of epidemiology (vol. 180, n° 3, août 2014)
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Pagination :
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263-271
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Langues:
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Anglais
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Mots-clés :
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Cardiopathie coronaire
;
Enfant
;
Inconvénient
;
Adulte
;
Evolution
;
Age
;
Milieu social
;
Facteur socioéconomique
;
Epidémiologie
;
Homme
;
Glande endocrine [pathologie]
;
Maladie chronique
;
Facteur psychosocial
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Résumé :
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[BDSP. Notice produite par INIST-CNRS 9AlR0x7o. Diffusion soumise à autorisation]. Adverse social environments in early life are hypothesized to become biologically embedded during the first few years of life, with potentially far-reaching implications for health across the life course. Using prospective data from a subset of a US birth cohort, the Collaborative Perinatal Project, started in 1959-1966 (n=566), we examined associations of social disadvantage assessed in childhood with cardiometabolic function and chronic disease status more than 40 years later (in 2005-2007). Social disadvantage was measured with an index that combined information on adverse socioeconomic and family stability factors experienced between birth and age 7 years. Cardiometabolic risk (CMR) was assessed by combining information from 8 CMR biomarkers ; an index of chronic disease status was derived by assessing 8 chronic diseases. Poisson models were used to investigate associations between social disadvantage and CMR or chronic disease scores while adjusting for childhood covariates and potential pathway variables. A high level of social disadvantage was significantly associated with both higher CMR (incident rate ratio=1.69,95% confidence interval : 1.19,2.39) and with a higher number of chronic diseases (incident rate ratio=1.39,95% confidence interval : 1.00,1.92) in minimally adjusted models. Associations with CMR persisted even after accounting for childhood and adult covariates.
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