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在一个冗长的密集纵向数据协议中,一致性和反应一致性。

Compliance and response consistency in a lengthy intensive longitudinal data protocol.

机构信息

Center for Alcohol and Addiction Studies, Brown University.

Center of Alcohol and Substance Studies, Rutgers University.

出版信息

Psychol Assess. 2024 Oct;36(10):606-617. doi: 10.1037/pas0001332. Epub 2024 Aug 5.

Abstract

Research on real-world patterns of substance use increasingly involves intensive longitudinal data (ILD) collection, requiring long assessment windows. The present study extends limited prior research examining event- and person-level influences on compliance and response consistency by investigating how these behaviors are sustained over time in an ILD study of alcohol and cannabis co-use in college students. Participants ( = 316) completed two 28-day bursts of ILD comprising five daily surveys, which included a morning survey of prior-day drinking. We used linear mixed effects models in a multilevel interrupted time series framework to evaluate the associations of time and measurement burst with (a) noncompliance (count of missed surveys) and (b) response consistency (difference between same-day report of drinking and morning report of prior-day drinking). We observed that time was positively associated with noncompliance, with no discontinuity associated with measurement burst. The slope of time was more positive in the second burst. Neither time nor measurement burst were significantly associated with consistent reporting. However, survey nonresponse and consistency of responding appeared to be impacted by the same-day use of substances. Overall, compliance decreased while consistency was stable across the duration of a lengthy ILD protocol. Shorter assessment windows or adaptive prompting strategies may improve overall study compliance. Further work examining daily burden and context is needed to inform future ILD design. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

摘要

研究物质使用的真实模式越来越多地涉及密集的纵向数据(ILD)收集,这需要较长的评估窗口。本研究通过调查这些行为在大学生中同时使用酒精和大麻的 ILD 研究中如何随着时间的推移而持续,扩展了先前有限的研究,这些研究检验了对依从性和反应一致性的事件和个体水平影响。参与者(n=316)完成了两次 28 天的 ILD 爆发,包括五次每日调查,其中包括前一天饮酒的早晨调查。我们使用多层次中断时间序列框架中的线性混合效应模型来评估时间和测量爆发与(a)不依从(错过调查的次数)和(b)反应一致性(同一天报告的饮酒量与早晨报告的前一天饮酒量之间的差异)之间的关联。我们观察到,时间与不依从呈正相关,与测量爆发无关。第二次爆发的时间斜率更为正。时间和测量爆发均与一致报告无显著关联。然而,调查无反应和响应一致性似乎受到当天使用物质的影响。总体而言,在冗长的 ILD 方案持续期间,依从性下降,而一致性保持稳定。较短的评估窗口或适应性提示策略可能会提高整体研究依从性。进一步研究日常负担和背景的工作对于告知未来的 ILD 设计是必要的。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。

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