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考察基于咬数的进食活动测量方法在自由生活人群中的应用。

Examining the utility of a bite-count-based measure of eating activity in free-living human beings.

出版信息

J Acad Nutr Diet. 2014 Mar;114(3):464-469. doi: 10.1016/j.jand.2013.09.017. Epub 2013 Nov 12.

Abstract

The obesity epidemic has triggered a need for novel methods for measuring eating activity in free-living settings. Here, we introduce a bite-count method that has the potential to be used in long-term investigations of eating activity. The purpose of our observational study was to describe the relationship between bite count and energy intake and determine whether there are sex and body mass index group differences in kilocalories per bite in free-living human beings. From October 2011 to February 2012, 77 participants used a wrist-worn device for 2 weeks to measure bite count during 2,975 eating activities. An automated self-administered 24-hour recall was completed daily to provide kilocalorie estimates for each eating activity. Pearson's correlation indicated a moderate, positive correlation between bite count and kilocalories (r=0.44; P<0.001) across all 2,975 eating activities. The average per-individual correlation was 0.53. A 2 (sex)×3 (body mass index group: normal, overweight, obese) analysis of variance indicated that men consumed 6 kcal more per bite than women on average. However, there were no body mass index group differences in kilocalories per bite. This was the longest study of a body-worn sensor for monitoring eating activity of free-living human beings to date, which highlights the strong potential for this method to be used in future, long-term investigations.

摘要

肥胖症的流行引发了对在自由生活环境中测量进食活动的新方法的需求。在这里,我们引入了一种咬数法,该方法有可能用于长期研究进食活动。我们的观察性研究的目的是描述咬数与能量摄入之间的关系,并确定在自由生活的人类中,每口咬的卡路里是否存在性别和身体质量指数组差异。从 2011 年 10 月到 2012 年 2 月,77 名参与者使用腕戴设备进行了两周的研究,以在 2975 次进食活动中测量咬数。每天自动进行自我管理的 24 小时回忆,以提供每次进食活动的卡路里估计值。皮尔逊相关分析表明,在所有 2975 次进食活动中,咬数与卡路里之间存在中度正相关(r=0.44;P<0.001)。个体平均相关系数为 0.53。2(性别)×3(身体质量指数组:正常、超重、肥胖)方差分析表明,男性平均每口咬的卡路里比女性多 6 卡路里。然而,每口咬的卡路里在身体质量指数组之间没有差异。这是迄今为止监测自由生活人类进食活动的身体佩戴传感器的最长研究,突出了该方法在未来长期研究中的强大潜力。

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