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Bite count rates in free-living individuals: new insights from a portable sensor.
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.
Afiliação
  • Alex J; 1Health and Public Affairs, University Of Central Florida, 838 Contravest Lane Winter Springs, Orlando, FL 32708 USA.
  • Turner D; 2Department of Mathematical Sciences, United States Military Academy, West Point, New York, NY 10996 USA.
  • Thomas DM; 2Department of Mathematical Sciences, United States Military Academy, West Point, New York, NY 10996 USA.
  • McDougall A; 3Center for Quantitative Obesity Research, Montclair State University, 1 Normal Ave, Montclair, Trenton, NJ 07043 USA.
  • Halawani MW; 3Center for Quantitative Obesity Research, Montclair State University, 1 Normal Ave, Montclair, Trenton, NJ 07043 USA.
  • Heymsfield SB; 4Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA 70808 USA.
  • Martin CK; 4Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA 70808 USA.
  • Scisco JL; 5Psychology Department, 344 Webb Hall, Eastern Connecticut State University, 83 Windham Street, Willimantic, CT 06226 USA.
  • Salley J; 6Psychology Department, Clemson University, College of Business and Behavioral Sciences, 410 Brackett Hall, Clemson, SC 29364-0915 USA.
  • Muth E; 6Psychology Department, Clemson University, College of Business and Behavioral Sciences, 410 Brackett Hall, Clemson, SC 29364-0915 USA.
  • Hoover AW; Department Electrical & Computer Engineering Department, Clemson University, Clemson, SC 29634-0915 USA.
BMC Nutr ; 4: 23, 2018.
Article em En | MEDLINE | ID: mdl-32153886
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article