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1.
J Pediatr ; 219: 259-262, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-31932017

RESUMO

A web-based survey of pediatric care providers revealed differences in their preference for clinical charts that monitor growth in children with obesity. These findings are attributed to pediatric specialty training. Very few providers believe the currently available Centers for Disease Control and Prevention 2000 body mass index-for-age charts adequately track growth in children with obesity.


Assuntos
Gráficos de Crescimento , Obesidade Infantil/diagnóstico , Pediatria , Padrões de Prática Médica , Adolescente , Criança , Pré-Escolar , Estudos Transversais , Feminino , Pesquisas sobre Atenção à Saúde , Humanos , Masculino
2.
Pediatr Diabetes ; 19(4): 622-629, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-29282818

RESUMO

OBJECTIVES: The risk of early-onset type 2 diabetes associated with the severity of obesity in youth is not well understood. This study aims to determine metabolic alterations and type 2 diabetes risk among American Indian children who are obese or severely obese. METHODS: Incidence rates of diabetes before 20 years (youth-onset) and 45 years were computed in 2728 children who were from 5 to <10 years and 4317 adolescents who were from 10 to <18 years without diabetes examined between 1965 and 2007. Obesity was defined as age-sex-adjusted body mass index (BMI) ≥95th percentile, and its severity was quantified as the percentage of the 95th percentile (%BMIp95 ). RESULTS: In the younger cohort, 0.9% of those non-obese and 2.9% of those with 100% to <120%BMIp95 had impaired glucose tolerance (IGT) compared to 8.6% of those with ≥140%BMIp95 . In the older cohort, 2.9% of those non-obese and 9.8% of those with 100% to <120%BMIp95 had IGT compared to 13.3% of those with ≥160%BMIp95 . The incidence of youth-onset diabetes was 3.8 and 4.9/1000 person-years in the child and adolescent cohorts, respectively, and before the age of 45 was 12.3 and 16.8/1000 person-years, respectively. Incidence rates of youth-onset diabetes in those with the most severe obesity (≥140%BMIp95 ) were 2.3 to 5.1 times as high as in those with the least severe obesity (100 to <120%BMIp95 ), and for onset of diabetes before the age of 45 were 1.6 to 2.2 times as high. CONCLUSIONS: Severe obesity in an American Indian population is a major driver of type 2 diabetes developing in adolescents and young adults.


Assuntos
Diabetes Mellitus Tipo 2/epidemiologia , Indígenas Norte-Americanos/estatística & dados numéricos , Obesidade Mórbida/epidemiologia , Obesidade Infantil/epidemiologia , Adolescente , Índice de Massa Corporal , Criança , Pré-Escolar , Estudos de Coortes , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/etnologia , Feminino , Intolerância à Glucose/complicações , Intolerância à Glucose/epidemiologia , Intolerância à Glucose/etnologia , Humanos , Masculino , Obesidade Mórbida/complicações , Obesidade Mórbida/etnologia , Obesidade Infantil/complicações , Obesidade Infantil/etnologia , Fatores de Risco
3.
Pediatrics ; 140(6)2017 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-29114063

RESUMO

OBJECTIVES: To illustrate the difficulties in optimal growth monitoring of children with severe obesity or underweight by using the Centers for Disease Control and Prevention (CDC) 2000 age- and sex-specific BMI percentile growth charts. We also aimed to examine the utility of a new modified CDC BMI z score chart to monitor growth in children with normal and extreme BMI percentiles by using real-life clinical scenarios. METHODS: Modified BMI z score charts were created by using the 2000 CDC algorithm. Three cases of children with extreme BMI values and abnormal growth patterns were plotted by using the standard CDC 2000 clinical growth chart, the modified BMI z score chart, and the CDC BMI percentile chart, modified to include the percentage of the 95th percentile (%BMIp95) curves. RESULTS: Children with severe obesity could not be plotted on the standard CDC BMI percentile chart because their BMI points lay above the chart cutoff. Children with a low BMI (<3%) were also difficult to track on the standard BMI percentile chart. The addition of the %BMIp95 scale to the standard BMI percentile chart allowed tracking of severely obese children; however, it did not address severely underweight children and required a change of units within the chart when transitioning from normal to obese BMIs. The modified BMI z score chart allowed uniform tracking. CONCLUSIONS: The modified CDC z score chart is suitable for growth tracking of children with normal and extreme growth patterns; the measures correlate well with the %BMIp95, and the chart can be incorporated easily into existing electronic health record systems for clinical use.


Assuntos
Índice de Massa Corporal , Gráficos de Crescimento , Obesidade Mórbida/diagnóstico , Adolescente , Criança , Feminino , Humanos , Masculino , Estados Unidos/epidemiologia
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