Boedt Tessy, Steenackers Nele, Verbeke Joke, Vermeulen Astrid, De Backer Charlotte, Yiga Peter, Matthys Christophe
Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
Laboratory of Molecular Bacteriology, Department of Microbiology, Immunology and Transplanation, Rega Institute, KU Leuven, Leuven, Belgium.
Front Nutr. 2022 Jan 21;8:760493. doi: 10.3389/fnut.2021.760493. eCollection 2021.
Food literacy refers to all practicalities associated with healthy eating. Current food literacy tools are limited in practical use in clinical practice. Therefore, an integrated food literacy tool (IFLT) to assess food literacy and to personalize food literacy guidance was developed and validated.
Following an iterative process, a food literacy framework was developed and food literacy goals were defined. A corresponding food literacy screener (FLS) to assess food literacy was developed along with an algorithm to provide personalized food literacy guidance based on the food literacy assessment. Content validation of the FLS was assessed by a panel of experts, measuring item and scale content validity index (I/S-CVI) and by the target population in semi structured interviews with 15 adults of reproductive age. Subsequently, an online cross-sectional survey was conducted among 114 adults of reproductive age to evaluate the validity of the FLS. Construct validity was examined against both the validated healthy eating and weight self-efficacy scale and against a food frequency questionnaire assessing healthy eating self-efficacy (HESE) and diet quality, respectively. Reliability was assessed with a two-week test-retest. Pearson correlation tests were conducted.
An IFLT consisting of a FLS and corresponding algorithm to personalize food literacy guidance by prioritizing food literacy goals was developed. The IFLT includes 24 food literacy goals, addressed by 17 FLS items. Every item received a weighting factor based on theory and expert opinion to prioritize food literacy goals according to personal needs. Content validity revealed that the FLS was rated relevant by experts (S-CVI = 0.93) and well-understood by the target population. The FLS has a good construct validity as it was positively correlated with diet quality (r = 0.536, < 0.001) and with HESE (r = 0.685, < 0.001). It also showed a good test-retest reliability (r = 0.721, < 0.001).
The newly developed IFLT is a practically applicable, context specific theory-and expert-based dual purpose tool to assess food literacy and to personalize food literacy guidance by prioritizing individuals' food literacy goals to their needs.
食物素养是指与健康饮食相关的所有实际能力。当前的食物素养工具在临床实践中的实际应用有限。因此，开发并验证了一种综合食物素养工具（IFLT），用于评估食物素养并提供个性化的食物素养指导。
经过反复迭代过程，制定了食物素养框架并确定了食物素养目标。开发了相应的食物素养筛查工具（FLS）以评估食物素养，并开发了一种算法，根据食物素养评估提供个性化的食物素养指导。由专家小组评估FLS的内容效度，测量项目和量表内容效度指数（I/S-CVI），并通过对15名育龄成年人进行半结构化访谈，由目标人群进行评估。随后，对114名育龄成年人进行了在线横断面调查，以评估FLS的效度。对照经过验证的健康饮食和体重自我效能量表以及分别评估健康饮食自我效能（HESE）和饮食质量的食物频率问卷，检验结构效度。通过两周的重测评估信度。进行了Pearson相关检验。
开发了一种IFLT，它由一个FLS和相应的算法组成，通过对食物素养目标进行优先级排序来提供个性化的食物素养指导。IFLT包括24个食物素养目标，由17个FLS项目涵盖。每个项目根据理论和专家意见获得一个加权因子，以便根据个人需求对食物素养目标进行优先级排序。内容效度表明，FLS被专家评为相关（S-CVI = 0.93），并被目标人群很好地理解。FLS具有良好的结构效度，因为它与饮食质量呈正相关（r = 0.536，P < 0.001），与HESE呈正相关（r = 0.685，P < 0.001）。它还显示出良好的重测信度（r = 0.721，P < 0.001）。
新开发的IFLT是一种切实可行、针对具体情境、基于理论和专家的两用工具，用于评估食物素养，并通过根据个人需求对个人的食物素养目标进行优先级排序来提供个性化的食物素养指导。
