Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia.
Enable Institute, Curtin University, Kent Street, Perth 6845, Australia.
Nutrients. 2022 Oct 13;14(20):4281. doi: 10.3390/nu14204281.
Demographic and psychosocial factors concerning dietary assessment error have been explored, but few studies have investigated the perceived problems experienced when completing dietary recalls. The aim of this research was to (i) compare the perceived problems encountered in two commonly used self-administered 24-hour dietary recall (24HR) programs (INTAKE24© and ASA24®) and (ii) explore whether mindful and habitual eating are associated with perceived problems during dietary recall. A randomised quantitative crossover design and think-aloud methodology were employed. Undergraduate university students (N = 55, Mage = 25.5, SD = 8.2, 75% female) completed a food habits and mindfulness questions pre-program, one 24HR (whilst thinking aloud), and a systems usability scale post-program. A week later, they completed the other 24HR (whilst thinking aloud). During a pilot, a coding frame of perceived problems was devised to quantify participants’ perceived problems. INTAKE24© generated significantly fewer perceived problems across all categories compared to ASA24® (17.2 vs. 33.1, p < 0.001). Of the participants, 68% reported a preference for INTAKE24© over ASA24®. Hierarchical multiple regression showed that habits and systems usability were significant predictors of perceived problems for INTAKE24© only. No significant predictors were found for ASA24®. The results provide insight into perceived problems people may encounter when using 24HR tools.
已经探讨了与饮食评估错误有关的人口统计学和社会心理因素,但很少有研究调查完成饮食回忆时所经历的感知问题。本研究的目的是:(i)比较两种常用的自我管理 24 小时饮食回忆(24HR)程序(INTAKE24©和 ASA24®)中遇到的感知问题,(ii)探索正念和习惯性进食是否与饮食回忆期间的感知问题相关。采用随机定量交叉设计和出声思考方法。本科大学生(N = 55,Mage = 25.5,SD = 8.2,75%为女性)在预编程时完成了饮食习惯和正念问题,完成了一次 24HR(同时出声思考),并在编程后完成了系统可用性量表。一周后,他们完成了另一次 24HR(同时出声思考)。在试点期间,制定了一个感知问题编码框架来量化参与者的感知问题。与 ASA24®相比,INTAKE24©在所有类别中产生的感知问题明显更少(17.2 对 33.1,p < 0.001)。在参与者中,68%的人表示更喜欢 INTAKE24©而不是 ASA24®。分层多元回归显示,习惯和系统可用性是 INTAKE24©感知问题的重要预测因素。对于 ASA24®,没有发现显著的预测因素。结果提供了关于人们在使用 24HR 工具时可能遇到的感知问题的见解。