Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA.
Obesity (Silver Spring). 2010 Feb;18 Suppl 1(Suppl 1):S91-8. doi: 10.1038/oby.2009.437.
Weight loss outcomes achieved through conventional behavior change interventions are prone to deterioration over time. Basic learning laboratory studies in the area of behavioral extinction and renewal and multilevel models of weight control offer clues as to why newly acquired weight loss skills are prone to relapse. According to these models, current clinic-based interventions may not be of sufficient duration or scope to allow for the practice of new skills across the multiple community contexts necessary to promote sustainable weight loss. Although longer, more intensive interventions with greater reach may hold the key to improving weight loss outcomes, it is difficult to test these assumptions in a time efficient and cost-effective manner. A research design tool that has been increasingly utilized in other fields (e.g., pharmaceuticals) is the use of biosimulation analyses. The present study describes our research team's use of computer simulation models to assist in designing a study to test a novel, comprehensive socio-environmental treatment approach to weight loss maintenance in children ages 7-12 years. Weight outcome data from the weight loss, weight maintenance, and follow-up phases of a recently completed randomized controlled trial (RCT) were used to describe the time course of a proposed, extended multilevel treatment program. Simulations were then conducted to project the expected changes in child percent overweight (POW) trajectories in the proposed study. A 12.9% decrease in POW at 30 months was estimated based upon the midway point between models of "best-case" and "worst-case" weight maintenance scenarios. Preliminary data and further analyses, including biosimulation projections, suggest that our socio-environmental approach to weight loss maintenance treatment is promising and warrants evaluation in a large-scale RCT. Biosimulation techniques may have utility in the design of future community-level interventions for the treatment and prevention of childhood overweight.
通过传统行为改变干预措施实现的减肥效果随着时间的推移容易恶化。行为消退和更新的基础学习实验室研究以及体重控制的多层次模型提供了线索,说明为什么新获得的减肥技能容易复发。根据这些模型,目前基于诊所的干预措施可能持续时间不够长或范围不够广,无法在促进可持续减肥所需的多个社区环境中练习新技能。虽然更长、更密集、覆盖面更广的干预措施可能是改善减肥效果的关键,但很难以高效和具有成本效益的方式来检验这些假设。一种在其他领域(例如制药)越来越多地被使用的研究设计工具是生物模拟分析的使用。本研究描述了我们的研究团队使用计算机模拟模型来协助设计一项研究,以测试一种新的、全面的社会环境减肥维持治疗方法在 7-12 岁儿童中的应用。最近完成的一项随机对照试验(RCT)的减肥、体重维持和随访阶段的体重结果数据用于描述拟议的扩展多层次治疗方案的时间过程。然后进行模拟,以预测拟议研究中儿童超重百分比(POW)轨迹的预期变化。根据“最佳情况”和“最差情况”体重维持情景模型之间的中点,估计 30 个月时 POW 将下降 12.9%。初步数据和进一步分析,包括生物模拟预测,表明我们对减肥维持治疗的社会环境方法有希望,并值得在大规模 RCT 中进行评估。生物模拟技术可能对未来社区层面干预措施的设计具有实用性,以治疗和预防儿童超重。