Quantifying reactivity to digital dietary assessment and the moderating influence of active information processing
量化对数字饮食评估的反应以及主动信息处理的调节影响
基本信息
- 批准号:437275178
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Fellowships
- 财政年份:2019
- 资助国家:德国
- 起止时间:2018-12-31 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Digital tools for assessing behaviour, such as pedometers, smartphone sensors and smartphone apps including digital Ecological Momentary Assessment (EMA) are increasingly used in psychological research. These tools allow to assess behaviour in real-life and real-time, thus reduce recall bias and increase the validity of the findings. However, the validity of data collected using these tools still might be limited because of research participation effects such as measurement reactivity. While numerous studies have been conducted on measurement reactivity in self-report data, showing small but consistent effects across various health behaviours, it is not yet well understood whether and to what extent measurement reactivity occurs in digital objective assessment of behaviour. While first studies on physical activity and medication adherence suggest that also digital objective assessment is prone to measurement reactivity, no studies were yet conducted on other behaviours, including digital assessment of eating behaviour. The present project therefore aims to investigate whether and under which conditions measurement reactivity occurs in digital dietary assessment. Specifically, the first aim is to quantify the extent to which reactivity to digital dietary assessment occurs and how it changes across time. Second, it aims to investigate active information processing as a potential underlying mechanism of measurement reactivity. To address these aims, three consecutive studies will be conducted. The first two studies will investigate whether different digital dietary assessment protocols used in the literature differ in the degree of active information processing using an online survey (Study 1, N = 180) and a 7 day EMA followed by qualitative interviews (Study 2, N = 40). Based on the results, the digital dietary assessment protocols involving the least and the most active information processing will be selected to be further investigated in Study 2 (N = 400). Participants will be randomly allocated to one of four groups in which the degree of active information processing during and after the recording process will be manipulated, and record their food intake with the respective version of the study app for 14 consecutive days. Based on the collected data, measurement reactivity will be compared between groups and its time course will be studied across the study period. A deeper understand of the effect size, time course and underlying mechanisms of measurement reactivity in digital dietary assessment protocols will contribute to reduce measurement reactivity in future research by guiding the selection and development of digital dietary assessment tools. It will thus allow to provide more accurate insights into eating behaviour in real-life settings, which will ultimately benefit public health research.
用于评估行为的数字工具,如计步器、智能手机传感器和智能手机应用程序,包括数字生态瞬时评估 (EMA),越来越多地用于心理学研究。这些工具可以评估现实生活中的实时行为,从而减少回忆偏差并提高研究结果的有效性。然而,由于测量反应性等研究参与效应,使用这些工具收集的数据的有效性仍然可能受到限制。尽管对自我报告数据中的测量反应性进行了大量研究,显示出对各种健康行为的微小但一致的影响,但尚不清楚在行为的数字客观评估中是否以及在何种程度上发生测量反应性。虽然关于体力活动和药物依从性的初步研究表明,数字客观评估也容易产生测量反应,但尚未对其他行为进行研究,包括饮食行为的数字评估。因此,本项目旨在调查数字饮食评估中是否以及在何种条件下发生测量反应。具体来说,第一个目标是量化数字饮食评估的反应程度以及它如何随时间变化。其次,它的目的是研究主动信息处理作为测量反应性的潜在潜在机制。为了实现这些目标,将进行三项连续研究。前两项研究将通过在线调查(研究 1,N = 180)和 7 天的 EMA 进行定性访谈(研究 2,N = 40)来调查文献中使用的不同数字饮食评估方案在主动信息处理程度方面是否存在差异。根据结果,将选择涉及最少和最活跃信息处理的数字饮食评估方案在研究2(N = 400)中进行进一步研究。参与者将被随机分配到四组中的一组,记录过程中和记录后的主动信息处理程度将受到控制,并使用相应版本的研究应用程序连续 14 天记录他们的食物摄入量。根据收集的数据,将比较各组之间的测量反应性,并在整个研究期间研究其时间进程。更深入地了解数字饮食评估方案中测量反应性的效应大小、时间进程和潜在机制,将有助于通过指导数字饮食评估工具的选择和开发来减少未来研究中的测量反应性。因此,它将能够更准确地了解现实生活中的饮食行为,这最终将有利于公共卫生研究。
项目成果
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Professorin Dr. Laura König其他文献
Professorin Dr. Laura König的其他文献
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