Nadeeja N Wijayatunga1, Bridget Ironuma2, John A Dawson3, Bailey Rusinovich4, Candice A Myers5, Michelle Cardel6, Gregory Pavela7, Corby K Martin8, David B Allison9, Emily J Dhurandhar10. 1. Department of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: nadeeja.wijayatunga@ttu.edu. 2. Department of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: bridget.ironuma@ttu.edu. 3. Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA; Center for Biotechnology & Genomics, Texas Tech University, Lubbock, TX, USA. Electronic address: john.a.dawson@ttu.edu. 4. Department of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: bailey.rusinovich@ttu.edu. 5. Pennington Biomedical Research Center, Baton Rouge, LA, USA. Electronic address: candice.myers@pbrc.edu. 6. Department of Health Outcomes & Policy, University of Florida, FL, USA. Electronic address: mcardel@ufl.edu. 7. Department of Health Behavior, School of Public Health, University of Alabama, Birmingham, AL, USA. Electronic address: pavela@uab.edu. 8. Pennington Biomedical Research Center, Baton Rouge, LA, USA. Electronic address: corby.martin@pbrc.edu. 9. School of Public Health-Bloomington, Indiana University, Bloomington, IN, USA. Electronic address: Allison@IU.edu. 10. Department of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. Electronic address: emily.dhurandhar@ttu.edu.
Abstract
OBJECTIVES: Subjective social status (SSS) is known to be inversely associated with obesity. Our objective was to determine if SSS is associated with eating behaviors that would predispose to weight gain, specifically, with inadequate compensation for excess energy consumed during a single large meal. Therefore, we conducted a pilot study to determine the association of SSS with 24-h energy balance, 24-h and post-lunch energy intake, changes in body composition and changes in adjusted resting energy expenditure on days when a high-energy lunch was consumed in free-living human subjects. METHOD: Female participants (7 normal weight and 10 overweight) consumed 60% of' estimated 24-h energy requirements as a lunchtime meal in the laboratory for 14 days. Subjective social status was measured at baseline using the MacArthur Scale. Remote Food Photography Method was used to record food intake outside of the lab on days 1-2, 7-8, and 12-13. Associations of 24-h energy balance, 24-h and post-lunch energy intake, changes in adjusted resting energy expenditure and changes in percent body fat (measured by dual x-ray absorptiometry) with SSS were studied. RESULTS: Mean (standard deviation) age and BMI were 36.29 (8.25) years and 26.43 (2.32) kg/m2, respectively. Lower SSS was significantly associated with positive energy balance (p for trend 0.002), and higher post-lunch energy intake (p = 0.02) when controlled for age and initial body mass index. CONCLUSIONS: Our pilot data show that lower SSS is associated with higher post-lunch energy intake, which is indicative of poor energy compensation following a large meal. Over a longer time period, this could result in fat mass gain. Studies that are of longer duration and well-powered are warranted to confirm our findings.
OBJECTIVES: Subjective social status (SSS) is known to be inversely associated with obesity. Our objective was to determine if SSS is associated with eating behaviors that would predispose to weight gain, specifically, with inadequate compensation for excess energy consumed during a single large meal. Therefore, we conducted a pilot study to determine the association of SSS with 24-h energy balance, 24-h and post-lunch energy intake, changes in body composition and changes in adjusted resting energy expenditure on days when a high-energy lunch was consumed in free-living human subjects. METHOD: Female participants (7 normal weight and 10 overweight) consumed 60% of' estimated 24-h energy requirements as a lunchtime meal in the laboratory for 14 days. Subjective social status was measured at baseline using the MacArthur Scale. Remote Food Photography Method was used to record food intake outside of the lab on days 1-2, 7-8, and 12-13. Associations of 24-h energy balance, 24-h and post-lunch energy intake, changes in adjusted resting energy expenditure and changes in percent body fat (measured by dual x-ray absorptiometry) with SSS were studied. RESULTS: Mean (standard deviation) age and BMI were 36.29 (8.25) years and 26.43 (2.32) kg/m2, respectively. Lower SSS was significantly associated with positive energy balance (p for trend 0.002), and higher post-lunch energy intake (p = 0.02) when controlled for age and initial body mass index. CONCLUSIONS: Our pilot data show that lower SSS is associated with higher post-lunch energy intake, which is indicative of poor energy compensation following a large meal. Over a longer time period, this could result in fat mass gain. Studies that are of longer duration and well-powered are warranted to confirm our findings.
Authors: Michelle I Cardel; Greg Pavela; David Janicke; Tianyao Huo; Darci Miller; Alexandra M Lee; Matthew J Gurka; Emily Dhurandhar; John C Peters; Ann E Caldwell; Eric Krause; Alicia Fernandez; David B Allison Journal: Obesity (Silver Spring) Date: 2020-11 Impact factor: 5.002
Authors: Monika M Stojek; Paulina Wardawy; Charles F Gillespie; Jennifer S Stevens; Abigail Powers; Vasiliki Michopoulos Journal: Nutrients Date: 2021-10-29 Impact factor: 5.717