Preliminary evidence of contextual factors' influence on weight loss treatment outcomes: implications for future research.

Preliminary evidence of contextual factors' influence on weight loss treatment outcomes: implications for future research.
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DOI:
10.1038/s41366-022-01070-x
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发表时间:
2022-06
影响因子:
4.9
通讯作者:
Brick, Leslie A.
Brick, Leslie A.
中科院分区:
医学2区
文献类型:
--
作者:
Thomas, J. Graham;Goldstein, Stephanie P.;Brick, Leslie A.

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行为健康干预措施,包括行为肥胖治疗,通常针对个人的社会心理素质(例如,知识、自我效能),这些素质在很大程度上被视为持续的、超过瞬间的环境因素(例如,情感、环境条件)。可归因于这两种来源的治疗结果差异很少被量化,但可能有助于为未来的研究和治疗开发工作提供信息。每周体重减轻的组内相关系数(ICC)是在三项研究中计算出来的,这些研究包括通过面对面小组会议、移动应用程序或网站向成年人提供10-12周的行为肥胖治疗。ICC解释了个体之间与个体内部的差异比例,并用于推断个体因素与环境因素对每周体重减轻的贡献。分析方法采用无条件线性混合效应模型,对被试具有随机效应。ICCs非常低,范围从0.01到0.06,表明瞬时环境因素可能在很大程度上影响肥胖治疗结果。这项研究提供了初步证据,表明环境因素在行为肥胖治疗中的影响可能被低估了。未来的研究需要同时确定和量化受试者内部和受试者之间方差的来源,以优化治疗方法。
Behavioral health interventions, including behavioral obesity treatment, typically target psychosocial qualities of the individual (e.g., knowledge, self-efficacy) that are largely treated as persistent, over momentary contextual factors (e.g., affect, environmental conditions). The variance in treatment outcomes that can be attributable to these two sources is rarely quantified but may help inform future research and treatment development efforts. The intraclass correlation coefficient (ICC) for weekly weight loss was calculated in three studies involving 10–12 weeks of behavioral obesity treatment delivered to adults via in-person group sessions, mobile application, or website. The ICC explains the proportion of variance between versus within individuals, and was used to infer the contribution of individual versus contextual factors to weekly weight loss. The analytic approach involved unconditional linear mixed effect models with a random effect for subject. The ICCs were very low, ranging from 0.01 to 0.06, suggesting that momentary contextual factors may influence obesity treatment outcomes to a substantial degree. This study yielded preliminary evidence that the influence of contextual factors in behavioral obesity treatment may be underappreciated. Future research is needed to simultaneously identify and quantify sources of within- and between-subjects variance to optimize treatment approaches.
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