Department of Nutrition and Life Sciences, School of Food and Nutritional Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka 422-8526, Japan.
Nutrients. 2021 Dec 24;14(1):56. doi: 10.3390/nu14010056.
The aim of this cross-sectional study was to examine the number of days required to estimate habitual vegetable variety by conducting a multiday, dietary record. Sixty respondents from three groups in Japan (rural residents, general students, and nutrition students) participated in the study using a self-administered questionnaire in September 2018. To measure vegetable variety, the number of different vegetables consumed was extracted from the dietary records of seven consecutive days. Differences in the number of vegetables consumed and the capture proportion over seven consecutive days between groups were examined using repeated measures analysis of variance and one-way analysis of variance. The vegetable variety between each day was also compared using Pearson's correlation coefficient. The vegetable variety based on dietary records for seven consecutive days confirmed the differences between groups by repeated measurements ( = 0.013). However, there was no significant difference among groups in the capture proportion per survey day based on seven consecutive days. Furthermore, there were significant correlations between the number of vegetables consumed over seven consecutive days and that consumed on two or more days (r > 0.50, < 0.01) and especially three or more days in all groups (r > 0.70, < 0.001). The present study suggested that a dietary survey over two or more days could provide an estimate of habitual vegetable variety.
本横断面研究的目的是通过进行多天的饮食记录来评估习惯性蔬菜种类所需的天数。2018 年 9 月，来自日本三个群体的 60 名受访者（农村居民、普通学生和营养学生）使用自我管理的问卷参与了这项研究。为了测量蔬菜种类，从连续 7 天的饮食记录中提取了不同蔬菜的食用数量。使用重复测量方差分析和单向方差分析检查了组间连续 7 天内蔬菜摄入量和捕获比例的差异。还使用 Pearson 相关系数比较了每天的蔬菜种类差异。基于连续 7 天的饮食记录的蔬菜种类通过重复测量证实了组间的差异（ = 0.013）。然而，基于连续 7 天的每个调查日的捕获比例在组间没有显著差异。此外，所有组中连续 7 天内消耗的蔬菜数量与两天或更多天消耗的蔬菜数量之间存在显著相关性（r > 0.50， < 0.01），尤其是三天或更多天的相关性更强（r > 0.70， < 0.001）。本研究表明，两天或以上的饮食调查可以提供习惯性蔬菜种类的估计。
