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1.
Nutrients ; 16(5)2024 Feb 29.
Artigo em Inglês | MEDLINE | ID: mdl-38474830

RESUMO

Obesity is defined as excess adipose tissue; however, commonly used methods may under-detect adiposity in adolescents. This study compared the performance of body mass index percentile (BMI%) and relative body mass index (RBMI) in identifying excess body fat percentage (BF%) and estimated RBMI cut points to better stratify severity of adiposity. In 567 adolescents ages 11-19 year, BF% measured by DXA was used to compare BMI% and RBMI performance at different degrees of adiposity. RBMI cut points for adiposity detection were derived via ROC curve analysis. BF% was strongly correlated with BMI% (r = 0.889, p < 0.001) and RBMI (r = 0.901, p < 0.001). However, RBMI exhibited less dispersion and better discriminated the relationship with BF% independent of age, race, and gender. Both BMI% and RBMI performed similarly for detecting high BF% (≥25 BF% in males; ≥30 BF% in females). Nonetheless, the relationship of BMI% with BF% was diminished among leaner adolescents. RBMI detected overweight in 21.3% more females and 14.2% more males. RBMI improved the detection of excess adiposity in individuals otherwise classified as having normal weight or overweight by BMI%. RBMI is a valuable and accessible tool for earlier detection, intervention, and effective follow-up of excess adiposity in youth at higher risk for complications.


Assuntos
Adiposidade , Sobrepeso , Masculino , Feminino , Adolescente , Humanos , Índice de Massa Corporal , Sobrepeso/metabolismo , Obesidade/metabolismo , Tecido Adiposo/metabolismo , Absorciometria de Fóton , Composição Corporal
2.
J Am Acad Nurse Pract ; 21(3): 173-8, 2009 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-19302694

RESUMO

PURPOSE: The purposes of this observational prospective study were (a) to identify the prevalence of undiagnosed impaired glucose metabolism (IGM) including impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and type 2 diabetes mellitus (T2DM) in 55 Hispanic subjects with two or more risk factors for the metabolic syndrome, (b) to examine the association between glucose metabolism and cardiometabolic risk factors (CMRF), including metabolic syndrome components, and (c) to identify predictors of IGM. DATA SOURCES: Subjects underwent a physical examination and a 2-h 75-g oral glucose tolerance test. Data were analyzed using SAS v9.1 with p < or = .05 considered significant. Nonparametric tests were applied including Mann-Whitney-Wilcoxon test and Spearman correlation coefficient. Stepwise logistic multiple regression was used to predict IGM. CONCLUSIONS: Twenty-five patients (46%) had IGM (18% IFG, 15% IGT, and 13%T2DM). Normal fasting glucose was found in 48% of subjects who had IGM. Lipid abnormalities were present in 98% including elevated triglycerides (TG 66%), total cholesterol (48%), low-density lipoprotein (68.8%), and low high-density lipoprotein (67.9%). Twenty-nine percent had body mass index (BMI) >25 kg/m(2) and 62% had BMI >30 kg/m, hypertension (24%), and elevated high-sensitivity C-reactive protein (63%), and mean number of cardiometabolic risk factors (#CMRF) was 4.5. Mean values for each risk factor were no different between groups except for #CMRF (p = .0001) and TG (p = .0001). Total #CMRF was the best predictor of IGM. IMPLICATIONS FOR PRACTICE: The prevalence of IGM is extremely high in Hispanics with metabolic syndrome. Screening for IGM with fasting blood glucose alone underestimates the prevalence of IGM in this population. In subjects with multiple CMRF, screening at lower levels of BMI is warranted.


Assuntos
Diabetes Mellitus Tipo 2/epidemiologia , Intolerância à Glucose/epidemiologia , Hispânico ou Latino/estatística & dados numéricos , Síndrome Metabólica/epidemiologia , Atenção Primária à Saúde/organização & administração , Adulto , Índice de Massa Corporal , Colesterol/sangue , Comorbidade , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/diagnóstico , Feminino , Intolerância à Glucose/sangue , Intolerância à Glucose/diagnóstico , Humanos , Modelos Logísticos , Masculino , Programas de Rastreamento/estatística & dados numéricos , Síndrome Metabólica/sangue , Síndrome Metabólica/diagnóstico , Pessoa de Meia-Idade , Obesidade/epidemiologia , Exame Físico/estatística & dados numéricos , Projetos Piloto , Prevalência , Estudos Prospectivos , Fatores de Risco , Estados Unidos/epidemiologia
3.
Expert Opin Pharmacother ; 9(13): 2377-82, 2008 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-18710361

RESUMO

BACKGROUND: Type 1 diabetes mellitus is associated with acute and long-term complications, to which pre- and postprandial hyperglycemia are independent contributors. The objective of this review was to evaluate evidence-based information using biphasic insulin aspart 30 in the treatment of type 1 diabetes mellitus. METHODS: The study reviewed the Cochrane Database and scientific literature (PubMed) published until January 2008 using the words biphasic insulin aspart 30 insulin or premixed aspart insulin. CONCLUSIONS: Biphasic insulin aspart 30 is similar in efficacy to biphasic human insulin in improving hemoglobin A(1c) levels, with the advantage of a better postprandial glucose profile. EXPERT OPINION: There is evidence supporting the efficacy and safety of biphasic insulin aspart 30 insulin. However, the need for well-designed clinical trials aimed at understanding the potential differences in safety and efficacy between patients with type 1 and type 2 diabetes is crucial.


Assuntos
Diabetes Mellitus Tipo 1/tratamento farmacológico , Hipoglicemiantes/uso terapêutico , Insulina/análogos & derivados , Insulinas Bifásicas , Hemoglobinas Glicadas/análise , Humanos , Hipoglicemiantes/efeitos adversos , Hipoglicemiantes/farmacocinética , Insulina/efeitos adversos , Insulina/farmacocinética , Insulina/uso terapêutico , Insulina Aspart , Insulina Isófana , Ensaios Clínicos Controlados Aleatórios como Assunto
4.
Ther Adv Cardiovasc Dis ; 1(1): 61-81, 2007 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-19124396

RESUMO

The cardiometabolic syndrome is highly prevalent among overweight youth. The risk of developing the cardiometabolic syndrome is likely triggered or exacerbated by concurrent obesity, unhealthy lifestyle/eating habits, and hormonal changes (puberty). Current screening recommendations include measurement of blood pressure, fasting insulin and glucose, and total cholesterol. However, limiting assessments to these measures underestimates cardiometabolic risk in overweight youth, particularly minorities. Early identification of cardiometabolic risk in its incipient stages may justify early and more aggressive intervention to prevent progression and complications. This review provides rationale for additional assessments to determine cardiometabolic risk in overweight youth and recommends treatment options.


Assuntos
Doenças Cardiovasculares/epidemiologia , Dislipidemias/epidemiologia , Síndrome Metabólica/epidemiologia , Obesidade/epidemiologia , Fármacos Antiobesidade/uso terapêutico , Anti-Hipertensivos/uso terapêutico , Doenças Cardiovasculares/tratamento farmacológico , Criança , Dislipidemias/tratamento farmacológico , Humanos , Hipoglicemiantes/uso terapêutico , Hipolipemiantes/uso terapêutico , Síndrome Metabólica/tratamento farmacológico , Obesidade/tratamento farmacológico , Prevalência , Fatores de Risco
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