Hutchesson Melinda J, Rollo Megan E, Callister Robin, Collins Clare E
J Acad Nutr Diet. 2015 Jan;115(1):87-94. doi: 10.1016/j.jand.2014.07.036. Epub 2014 Sep 26.
Adherence and accuracy of self-monitoring of dietary intake influences success in weight management interventions. Information technologies such as computers and smartphones have the potential to improve adherence and accuracy by reducing the burden associated with monitoring dietary intake using traditional paper-based food records. We evaluated the acceptability and accuracy of three different 7-day food record methods (online accessed via computer, online accessed via smartphone, and paper-based). Young women (N=18; aged 23.4±2.9 years; body mass index 24.0±2.2) completed the three 7-day food records in random order with 7-day washout periods between each method. Total energy expenditure (TEE) was derived from resting energy expenditure (REE) measured by indirect calorimetry and physical activity level (PAL) derived from accelerometers (TEE=REE×PAL). Accuracy of the three methods was assessed by calculating absolute (energy intake [EI]-TEE) and percentage difference (EI/TEE×100) between self-reported EI and TEE. Acceptability was assessed via questionnaire. Mean±standard deviation TEE was 2,185±302 kcal/day and EI was 1,729±249 kcal/day, 1,675±287kcal/day, and 1,682±352 kcal/day for computer, smartphone, and paper records, respectively. There were no significant differences between absolute and percentage differences between EI and TEE for the three methods: computer, -510±389 kcal/day (78%); smartphone, -456±372 kcal/day (80%); and paper, -503±513 kcal/day (79%). Half of participants (n=9) preferred computer recording, 44.4% preferred smartphone, and 5.6% preferred paper-based records. Most participants (89%) least preferred the paper-based record. Because online food records completed on either computer or smartphone were as accurate as paper-based records but more acceptable to young women, they should be considered when self-monitoring of intake is recommended to young women.
饮食摄入自我监测的依从性和准确性会影响体重管理干预的成效。计算机和智能手机等信息技术有潜力通过减轻使用传统纸质食物记录来监测饮食摄入的负担,从而提高依从性和准确性。我们评估了三种不同的7天食物记录方法(通过计算机在线访问、通过智能手机在线访问和纸质记录)的可接受性和准确性。年轻女性(N = 18;年龄23.4±2.9岁;体重指数24.0±2.2)以随机顺序完成三种7天食物记录,每种方法之间有7天的洗脱期。总能量消耗(TEE)由通过间接测热法测量的静息能量消耗(REE)和通过加速度计得出的身体活动水平(PAL)计算得出(TEE = REE×PAL)。通过计算自我报告的能量摄入(EI)与TEE之间的绝对差值(能量摄入[EI] - TEE)和百分比差值(EI/TEE×100)来评估这三种方法的准确性。通过问卷调查评估可接受性。计算机记录、智能手机记录和纸质记录的平均±标准差TEE分别为2,185±302千卡/天、EI分别为1,729±249千卡/天、1,675±287千卡/天和1,682±352千卡/天。三种方法在EI与TEE之间的绝对差值和百分比差值上没有显著差异:计算机记录,-510±389千卡/天(78%);智能手机记录,-456±372千卡/天(80%);纸质记录,-503±513千卡/天(79%)。一半的参与者(n = 9)更喜欢计算机记录,44.4%更喜欢智能手机记录,5.6%更喜欢纸质记录。大多数参与者(89%)最不喜欢纸质记录。由于在计算机或智能手机上完成的在线食物记录与纸质记录一样准确,但更受年轻女性接受,因此在建议年轻女性进行摄入自我监测时应考虑采用。