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Anti-obesity medication prescriptions by race/ethnicity and use of an interpreter in a pediatric weight management clinic.
Bomberg, Eric M; Palzer, Elise F; Rudser, Kyle D; Kelly, Aaron S; Bramante, Carolyn T; Seligman, Hilary K; Noni, Favour; Fox, Claudia K.
Afiliação
  • Bomberg EM; Center for Pediatric Obesity Medicine, Department of Pediatrics, Medical School, University of Minnesota, 717 Delaware Street SE, Room 370, Minneapolis, MN 55414, USA.
  • Palzer EF; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
  • Rudser KD; Center for Pediatric Obesity Medicine, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA.
  • Kelly AS; Center for Pediatric Obesity Medicine, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA.
  • Bramante CT; Center for Pediatric Obesity Medicine, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA.
  • Seligman HK; Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Noni F; University of Minnesota, Minneapolis, MN, USA.
  • Fox CK; Center for Pediatric Obesity Medicine, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA.
Ther Adv Endocrinol Metab ; 13: 20420188221090009, 2022.
Article em En | MEDLINE | ID: mdl-35432917
ABSTRACT

Background:

Race/ethnicity and low English proficiency healthcare disparities are well established in the United States. We sought to determine if there are race/ethnicity differences in anti-obesity medication (AOM) prescription rates among youth with severe obesity treated in a pediatric weight management clinic and if, among youth from non-primary English speaking families, there are differences in prescriptions between those using interpreters during visits versus not.

Methods:

We reviewed electronic health records of 2- to 18-year-olds with severe obesity seen from 2012 to 2021. Race/ethnicity was self-report, and AOMs included topiramate, stimulants (e.g. phentermine, lisdexamfetamine), naltrexonebupropion), glucagon-like peptide-1 agonists, and orlistat. We used general linear regression models with log-link to compare incidence rate ratios (IRRs) within the first 1 and 3 years of being followed, controlling for age, percent of the 95th BMI percentile (%BMIp95), number of obesity-related comorbidities (e.g. insulin resistance, hypertension), median household income, and interpreter use. We repeated similar analyses among youth from non-primary English speaking families, comparing those using interpreters versus not.

Results:

1,725 youth (mean age 11.5 years; %BMIp95 142%; 53% non-Hispanic White, 20% Hispanic/Latino, 16% non-Hispanic black; 6% used interpreters) were seen, of which 15% were prescribed AOMs within 1 year. The IRR for prescriptions was lower among Hispanic/Latino compared to non-Hispanic White youth at one (IRR 0.70; CI 0.49-1.00; p = 0.047) but not 3 years. No other statistically significant differences by race/ethnicity were found. Among non-primary English speaking families, the IRR for prescriptions was higher at 1 year (IRR 2.49; CI 1.32-4.70; p = 0.005) in those using interpreters versus not.

Conclusions:

Among youth seen in a pediatric weight management clinic, AOM prescription incidence rates were lower in Hispanics/Latinos compared to non-Hispanic Whites. Interpreter use was associated with higher prescription incidence rates among non-primary English speakers. Interventions to achieve equity in AOM prescriptions may help mitigate disparities in pediatric obesity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article