个性化减重能量管理计划(EMPOWER):三年成果数据。

Advances in clinical endocrinology and metabolism Pub Date : 2019-01-01 Epub Date: 2019-03-10
A P Vidmar, C Fink, B Torres, B Manzanarez, S D Mittelman, C P Wee, C Borzutzky
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引用次数: 0

摘要

背景:目前,儿科肥胖症管理的共识指南建议采取以诊所为基础、以家庭为中心的多学科干预措施。据报道,这些方案通常只能使体重指数(BMI)略有改善。对于哪些因素会导致患者的 BMI 状况改善或恶化,研究仍然不足。我们开展了一项回顾性队列研究,以评估 EMPOWER 诊所的成果,并确定预测该人群 BMI 状况改善的参与者具体特征:研究纳入了至少完成 6 次 EMPOWER 诊疗的青少年。采用配对 t 检验来评估 zBMI、修正 BMIz 和 %BMIp95 从基线到第 6 次就诊的平均变化,并采用多变量混合效应模型来分析基线特征对 BMI 状态变化的影响:92名参与者参与了分析,其中87%为重度肥胖,66%为西班牙裔。在第 6 次就诊时,zBMI 显著下降(-0.09 SD,p p95(-1.15 %,p = 0.20)。基线时较低的体重指数(p < 0.001)和无合并症(p < 0.05)是体重指数改善的预测因素,而年龄、性别、种族、肥胖家族史和保险状况则不是重要的预测因素:鉴于目前儿科肥胖症管理指南的实施只能适度降低体重指数(BMI),因此需要进一步调查,以了解肥胖症相关健康结果的决定因素如何指导为这一高风险人群制定更创新、更有效的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Energy Management for Personalized Weight Reduction (EMPOWER) Program: Three-Year Outcome Data.

Energy Management for Personalized Weight Reduction (EMPOWER) Program: Three-Year Outcome Data.

Background: The current consensus guidelines for management of pediatric obesity recommend clinic-based, family-centered, multi-disciplinary interventions. It is well reported that these programs often only lead to modest improvements in BMI status. The individual factors that differentiate which patient's BMI status will improve vs. worsen remains understudied. A retrospective cohort study was conducted to evaluate the outcomes of EMPOWER clinic and identify the participant specific characteristics that predicted BMI status improvement in this population.

Methods: Youth who completed at least 6 visits in EMPOWER were included. Paired t-test was utilized to evaluate the mean change in zBMI, modified BMIz and %BMIp95 from baseline to 6th visit, and multivariate mixed effect models were utilized to analyze effect of baseline characteristics on change in BMI status.

Results: 92 participants were included in the analysis, 87% with severe obesity and 66% Hispanic. At the 6th visit, there was a significant reduction in zBMI (-0.09 SD, p <0.001) and modified BMIz (-0.0003 SD, p = 0.04) with a small reduction in %BMIp95 (-1.15 %, p = 0.20). Lower BMI status (p < 0.001) and absence of a comorbidity (p < 0.05) at baseline were predictors of BMI status improvement whereas age, gender, ethnicity, family history of obesity and insurance status were not significant predictors.

Conclusions: Given that implementation of the current guidelines for management of obesity in pediatrics only results in modest BMI status reduction, further investigation is required to understand how the determinants of obesity-related health outcomes can guide development of more innovative, effective interventions for this high risk population.

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