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1.
Popul Health Manag ; 18(3): 172-8, 2015 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-25290852

RESUMEN

Diabetes knows no age and affects millions of individuals. Preventing diabetes in children is increasingly becoming a major health policy concern and focus. The objective of this study is to project the number of children, aged 0-17 years, with diagnosed diabetes in the United States through 2030, accounting for changing demography, and diabetes and obesity prevalence rates. The study team combined historic diabetes and obesity prevalence data with US child population estimates and projections. A times-series regression model was used to forecast future diabetes prevalence and to account for the relationship between the forecasted diabetes prevalence and the lagged prevalence of childhood obesity. Overall, the prevalence of diagnosed diabetes is projected to increase 67% from 0.22% in 2010 to 0.36% in 2030. Lagged obesity prevalence in Hispanic boys and non-Hispanic black girls was significantly associated with increasing future diabetes prevalence. The study results showed that a 1% increase in obesity prevalence among Hispanic boys from the previous year was significantly associated with a 0.005% increase in future prevalence of diagnosed diabetes in children (P ≤ 0.01). Likewise, a unit increase in obesity prevalence among non-Hispanic black girls was associated with a 0.003% increase in future diabetes prevalence (P < 0.05). Obesity rates for other race/ethnicity combinations were not associated with increasing future diabetes prevalence. To mitigate the continued threat posed by diabetes, serious discussions need to focus on the pediatric population, particularly non-Hispanic black girls and Hispanic boys whose obesity trends show the strongest associations with future diabetes prevalence in children.


Asunto(s)
Diabetes Mellitus Tipo 1/epidemiología , Diabetes Mellitus Tipo 2/epidemiología , Obesidad Infantil/epidemiología , Adolescente , Negro o Afroamericano/estadística & datos numéricos , Niño , Preescolar , Diabetes Mellitus Tipo 1/etnología , Diabetes Mellitus Tipo 2/etnología , Femenino , Hispánicos o Latinos/estadística & datos numéricos , Humanos , Lactante , Recién Nacido , Masculino , Encuestas Nutricionales , Obesidad Infantil/etnología , Prevalencia , Análisis de Regresión
2.
Health Serv Res ; 46(6pt1): 1803-21, 2011 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-21689095

RESUMEN

OBJECTIVE: To investigate the relationship between Medicaid Personal Care Services (PCS) and caregivers' reports of activity (activities of daily living [ADL]) limitations for children with chronic health problems. DATA SOURCES/STUDY SETTING: Primary data collected in 2008 and 2009. A state Medicaid program was the setting. The focus was children receiving Medicaid PCS. DATA COLLECTION: Medicaid case managers assessed children to determine their need for PCS, using information provided by the child or informal caregivers. Two thousand seven hundred assessments were provided to researchers directly from case managers. PRINCIPAL FINDINGS: Medical conditions and impairments explained 58 percent of the variance in the child's activity limitations. Activity limitations and problem behaviors explained 28 percent of the variance in PCS hours authorized. Which case manager completed the assessment also played a substantial role in determining hours of care. CONCLUSIONS: Caregivers' reports of the severity of a child's activity limitations effectively summarize the effects of conditions and impairments on the child's ADL performance and have a significant impact on the level of services provided. Assessors often respond differently to children's characteristics and circumstances as they move from assessment to decisions concerning care provision. Our results imply that the provision of appropriate services may be enhanced when both case managers and caregivers play an active role in decisions concerning care provision.


Asunto(s)
Actividades Cotidianas , Cuidadores/organización & administración , Servicios de Atención de Salud a Domicilio/organización & administración , Medicaid/organización & administración , Atención Individual de Salud/organización & administración , Adolescente , Adulto , Cuidadores/estadística & datos numéricos , Niño , Preescolar , Femenino , Servicios de Atención de Salud a Domicilio/estadística & datos numéricos , Humanos , Discapacidad Intelectual , Masculino , Medicaid/estadística & datos numéricos , Variaciones Dependientes del Observador , Atención Individual de Salud/estadística & datos numéricos , Índice de Severidad de la Enfermedad , Factores Sexuales , Estados Unidos
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