Title

Bite Count Rates In Free-Living Individuals: New Insights From A Portable Sensor

Keywords

Bite count rate; Body mass index; Energy intake; Sensor technology

Abstract

Background: 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. Methods: Two previously conducted studies were analyzed for relationships between BMI and sensor evaluated bite count/min, and meal duration. Participants from the first study (N = 77) wore the bite counter in a free-living environment for a continuous period of 14 days. The second study (N = 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. Results: There was no significant correlation in the free-living participants average bite counts per second and BMI (R2 = 0.03, p = 0.14) and a significant negative correlation in the cafeteria participants (R 2 = 0.04, p = 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 (R 2 = 0.08, p = 0.01). Total energy intake in the cafeteria participants was also significantly correlated to meal duration (R 2 = 0.31, p < 0.001). Conclusions: 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.

Publication Date

12-27-2018

Publication Title

BMC Nutrition

Volume

4

Issue

1

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1186/s40795-018-0227-x

Socpus ID

85088988158 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85088988158

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