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Measurement of outcomes, mediators, and moderators in behavioral obesity prevention research.

机译:预防行为​​肥胖症研究的结果,介导者和调节者。

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BACKGROUND: Measurement enables intervention scientists to determine whether their interventions had the intended outcome effects and the expected pathways of effects across mediating variables. Low reliability of measurement (i.e., substantial random error) attenuates the relationships of these measures to other variables, including treatment effects. This attenuation may indicate that interventions were not effective, when in truth they were. There has been little assessment of the quality of measurement in obesity prevention trials. METHOD: A brief review is provided of measurement issues within classical test theory. Seventeen obesity prevention trials were then identified in the literature. The extent to which the reliability and validity of the measures were reported in the articles was assessed. RESULTS: With few exceptions reliability coefficients of measures were not reported in the obesity prevention literature. When they were reported, there was evidence that low reliability attenuated reported intervention outcome relationships. CONCLUSIONS: The quality of measurement is important in intervention science and consequently should be clearly presented in scientific reports of outcomes. Better measures are needed in obesity prevention to provide appropriate tests of state of the art interventions. A brief overview is provided of each of the articles in this special issue on measurement in the Girls health Enrichment Multisite Studies (GEMS).
机译:背景:测量使干预科学家能够确定其干预是否具有预期的结果效果和跨中介变量的效果的预期途径。测量的低可靠性(即,基本随机误差)削弱了这些测量与其他变量(包括治疗效果)的关系。这种减弱可能表明干预实际上是无效的,但实际上是无效的。肥胖预防试验中对测量质量的评估很少。方法:简要回顾了经典测试理论中的测量问题。然后在文献中确定了17项预防肥胖的试验。评估了文章中报告的措施的可靠性和有效性的程度。结果:肥胖预防文献中几乎没有报告措施可靠性系数。当他们被报道时,有证据表明低可靠性削弱了所报道的干预结局关系。结论:测量质量在干预科学中很重要,因此应在结果的科学报告中清楚地说明。预防肥胖需要更好的措施,以提供对最新干预措施的适当测试。对本期特刊中有关“女孩健康丰富化多站点研究(GEMS)”中的测量的每篇文章进行了简要概述。

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