STUDY OBJECTIVES: Evaluation of sleep in subjects with night eating syndrome (NES). DESIGN: Polysomnographic and questionnaire comparisons between subjects with NES and controls. SETTING AND PARTICIPANTS: Fifteen women with NES (mean +/- SD = 41 +/- 8 years) and 14 women (comparable age and weight) without NES (39 +/- 10 years) were studied in the laboratory for 3 days. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Subjects with NES did not differ from controls in timing of sleep onset or offset. They had less stage 2 sleep than controls (minutes, p = .012; percentage, p = .016) and less stage 3 sleep (p = .023), which contributed to their having a lower total sleep time (p = .05) and reduced sleep efficiency (p = .03). Subjects with NES did not have more awakenings than controls, but 93.3% of them ate on awakening during all 3 nights, while 92.9% of controls did not eat on any night. Logistic discriminant analyses identified a multiple sleep parameter model associated with increased likelihood of NES that had sensitivity of 84.6% and specificity of 76.9%. Patients with NES were more depressed than controls (p < .001) and reported greater sleep disturbance that included lower sleep quality (p < or = .001), reduced sleep duration (p < or = .001), and increased number of awakenings (p < or = .001). CONCLUSIONS: Patients with NES appear to have sleep maintenance insomnia rather than sleep-related eating disorder or a parasomnia. The maintenance of normal timing for sleep-wake behavior in the presence of a phase delay in the timing of caloric intake suggests this disorder reflects a state of internal circadian desynchrony associated with significant sleep complaints. It remains unknown whether the sleep disturbance precedes the abnormally timed eating.
STUDY OBJECTIVES: Evaluation of sleep in subjects with night eating syndrome (NES). DESIGN: Polysomnographic and questionnaire comparisons between subjects with NES and controls. SETTING AND PARTICIPANTS: Fifteen women with NES (mean +/- SD = 41 +/- 8 years) and 14 women (comparable age and weight) without NES (39 +/- 10 years) were studied in the laboratory for 3 days. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Subjects with NES did not differ from controls in timing of sleep onset or offset. They had less stage 2 sleep than controls (minutes, p = .012; percentage, p = .016) and less stage 3 sleep (p = .023), which contributed to their having a lower total sleep time (p = .05) and reduced sleep efficiency (p = .03). Subjects with NES did not have more awakenings than controls, but 93.3% of them ate on awakening during all 3 nights, while 92.9% of controls did not eat on any night. Logistic discriminant analyses identified a multiple sleep parameter model associated with increased likelihood of NES that had sensitivity of 84.6% and specificity of 76.9%. Patients with NES were more depressed than controls (p < .001) and reported greater sleep disturbance that included lower sleep quality (p < or = .001), reduced sleep duration (p < or = .001), and increased number of awakenings (p < or = .001). CONCLUSIONS:Patients with NES appear to have sleep maintenance insomnia rather than sleep-related eating disorder or a parasomnia. The maintenance of normal timing for sleep-wake behavior in the presence of a phase delay in the timing of caloric intake suggests this disorder reflects a state of internal circadian desynchrony associated with significant sleep complaints. It remains unknown whether the sleep disturbance precedes the abnormally timed eating.
Authors: Kelly C Allison; Scott G Engel; Ross D Crosby; Martina de Zwaan; John P O'Reardon; Stephen A Wonderlich; James E Mitchell; Delia Smith West; Thomas A Wadden; Albert J Stunkard Journal: Eat Behav Date: 2008-05-10
Authors: Albert J Stunkard; Kelly C Allison; Allan Geliebter; Jennifer D Lundgren; Marci E Gluck; John P O'Reardon Journal: Compr Psychiatry Date: 2008-11-26 Impact factor: 3.735
Authors: Laura E Martin; Lauren Pollack; Ashley McCune; Erica Schulte; Cary R Savage; Jennifer D Lundgren Journal: Psychiatry Res Date: 2015-08-29 Impact factor: 3.222
Authors: P Vinai; K C Allison; S Cardetti; G Carpegna; N Ferrato; D Masante; P Vallauri; G M Ruggiero; S Sassaroli Journal: Eat Weight Disord Date: 2008-06 Impact factor: 4.652