Marci E Gluck1, Colleen A Venti, Arline D Salbe, Jonathan Krakoff. 1. Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ 85016, USA. gmarci@niddk.nih.gov
Abstract
BACKGROUND: Nighttime food intake has rarely been studied in inpatient settings and only one study observed a relation between self-reported nighttime eating and weight gain. OBJECTIVE: We investigated the prevalence of nighttime eating and its effect on weight change. DESIGN: Healthy nondiabetic Pima Indians (n = 117; 67 M, 50 F) and whites (n = 43; 29 M, 13 F) were admitted to a clinical research unit. After consuming a standardized diet for 3 d, participants ate ad libitum from a computer-operated vending machine that recorded the time of food selection. Energy intake was calculated as mean kcal/d. Follow-up weight was available for 94 volunteers. RESULTS: Fifty-five subjects (36%) were nighttime eaters (NEs; persons who ate between 2300 and 0500 on > or =1 of the 3 d). Prevalence was similar among whites and Pima Indians (37% and 35%, respectively). There were no significant differences in body mass index or percentage body fat between NEs and non-NEs. NEs consumed more calories per day (4758) than did non-NEs (4244; P = 0.02), but the percentage of calories from macronutrients did not differ. NEs consumed approximately 15% (690 kcal) of their daily energy during nighttime episodes. After control for baseline weight and follow-up time (x +/- SD: 3.4 +/- 1.8 y), NEs (n = 29) gained more weight (6.2 kg) than did non-NEs (n = 65; 1.7 kg; P = 0.03). CONCLUSIONS: Nighttime eating was common, and it predicted weight gain. It remains to be determined whether this behavior indicates abnormal sleep patterns leading to nighttime wakefulness and food intake in those prone to weight gain.
BACKGROUND: Nighttime food intake has rarely been studied in inpatient settings and only one study observed a relation between self-reported nighttime eating and weight gain. OBJECTIVE: We investigated the prevalence of nighttime eating and its effect on weight change. DESIGN:Healthy nondiabetic Pima Indians (n = 117; 67 M, 50 F) and whites (n = 43; 29 M, 13 F) were admitted to a clinical research unit. After consuming a standardized diet for 3 d, participants ate ad libitum from a computer-operated vending machine that recorded the time of food selection. Energy intake was calculated as mean kcal/d. Follow-up weight was available for 94 volunteers. RESULTS: Fifty-five subjects (36%) were nighttime eaters (NEs; persons who ate between 2300 and 0500 on > or =1 of the 3 d). Prevalence was similar among whites and Pima Indians (37% and 35%, respectively). There were no significant differences in body mass index or percentage body fat between NEs and non-NEs. NEs consumed more calories per day (4758) than did non-NEs (4244; P = 0.02), but the percentage of calories from macronutrients did not differ. NEs consumed approximately 15% (690 kcal) of their daily energy during nighttime episodes. After control for baseline weight and follow-up time (x +/- SD: 3.4 +/- 1.8 y), NEs (n = 29) gained more weight (6.2 kg) than did non-NEs (n = 65; 1.7 kg; P = 0.03). CONCLUSIONS: Nighttime eating was common, and it predicted weight gain. It remains to be determined whether this behavior indicates abnormal sleep patterns leading to nighttime wakefulness and food intake in those prone to weight gain.
Authors: Colleen A Venti; Susanne B Votruba; Paul W Franks; Jonathan Krakoff; Arline D Salbe Journal: Am J Clin Nutr Date: 2009-11-18 Impact factor: 7.045
Authors: A Gallant; J Lundgren; J O'Loughlin; K Allison; A Tremblay; M Henderson; V Drapeau Journal: Int J Obes (Lond) Date: 2015-03-23 Impact factor: 5.095
Authors: Poh Hui Wee; See Ling Loy; Jia Ying Toh; Elaine Kwang Hsia Tham; Yin Bun Cheung; Keith M Godfrey; Peter D Gluckman; Seang Mei Saw; Yap-Seng Chong; Ngee Lek; Jerry Kok Yen Chan; Daniel Yam Thiam Goh; Mary Foong-Fong Chong; Fabian Yap Journal: Br J Nutr Date: 2017-06 Impact factor: 3.718