Alex Jimmy, Turner Dusty, Thomas Diana M, McDougall Andrew, Halawani Mirna W, Heymsfield Steven B, Martin Corby K, Scisco Jenna L, Salley James, Muth Eric, Hoover Adam W
1Health and Public Affairs, University Of Central Florida, 838 Contravest Lane Winter Springs, Orlando, FL 32708 USA.
2Department of Mathematical Sciences, United States Military Academy, West Point, New York, NY 10996 USA.
BMC Nutr. 2018 May 18;4:23. doi: 10.1186/s40795-018-0227-x. eCollection 2018.
Conclusions regarding bite count rates and body mass index (BMI) in free-living populations have primarily relied on self-report. The objective of this exploratory study was to compare the relationship between BMI and bite counts measured by a portable sensor called the Bite Counter in free-living populations and participants eating in residence.
Two previously conducted studies were analyzed for relationships between BMI and sensor evaluated bite count/min, and meal duration. Participants from the first study ( = 77) wore the bite counter in a free-living environment for a continuous period of 14 days. The second study ( = 214) collected bite count/min, meal duration, and total energy intake in participants who consumed one meal in a cafeteria. Linear regression was applied to examine relationships between BMI and bite count/min.
There was no significant correlation in the free-living participants average bite counts per second and BMI (R = 0.03, = 0.14) and a significant negative correlation in the cafeteria participants ( = 0.04, = 0.03) with higher bite count rates observed in lean versus obese participants. There was a significant correlation between average meal duration and BMI in the free-living participants ( = 0.08, = 0.01). Total energy intake in the cafeteria participants was also significantly correlated to meal duration ( = 0.31, < 0.001).
With additional novel applications of the Bite Counter, insights into free-living eating behavior may provide avenues for future interventions that are sustainable for long term application.
关于自由生活人群的咬嚼次数率和体重指数（BMI）的结论主要依赖于自我报告。这项探索性研究的目的是比较自由生活人群以及在住所用餐的参与者中，BMI与一种名为咬嚼计数器的便携式传感器测量的咬嚼次数之间的关系。
分析两项先前进行的研究，以探讨BMI与传感器评估的每分钟咬嚼次数以及用餐时长之间的关系。第一项研究的77名参与者在自由生活环境中连续佩戴咬嚼计数器14天。第二项研究的214名参与者在自助餐厅用餐时收集了每分钟咬嚼次数、用餐时长和总能量摄入。应用线性回归来检验BMI与每分钟咬嚼次数之间的关系。
自由生活的参与者中，每秒平均咬嚼次数与BMI之间无显著相关性（R = 0.03，P = 0.14），而在自助餐厅参与者中存在显著负相关（P = 0.04，P = 0.03），瘦参与者的咬嚼次数率高于肥胖参与者。自由生活的参与者中，平均用餐时长与BMI之间存在显著相关性（P = 0.08，P = 0.01）。自助餐厅参与者的总能量摄入也与用餐时长显著相关（P = 0.31，P < 0.001）。
随着咬嚼计数器的更多新颖应用，对自由生活饮食行为的深入了解可能为未来可持续长期应用的干预措施提供途径。
