0195 ENERGY BALANCE RESPONSES SHOW PHENOTYPIC STABILITY TO SLEEP RESTRICTION AND TOTAL SLEEP DEPRIVATION IN HEALTHY ADULTS

Abstract Introduction: Experimental studies have shown sleep restriction (SR) and total sleep deprivation (TSD) increase caloric intake, fat consumption, and late-night eating. However, whether the same individuals show similar caloric intake responses to both SR and TSD is unknown. As such, we determined whether trait-like responses are observed during and after SR and TSD separated by recovery sleep in the same protocol. Methods: 66 healthy adults (34.4 ± 9.0y; 32 women) were randomized to receive 2 baseline nights (10h-12h time in bed (TIB), 2200h-0800h/1000h) followed by 5 SR nights (4h TIB, 0400h-0800h) or 36h TSD. Subjects then received 4 recovery (12h TIB, 2200h-1000h) nights followed by 5 SR nights (4h TIB, 0400h-0800h) or 36h TSD, in counterbalanced order to the first sleep loss condition sequence. Intraclass correlation coefficients (ICCs) were computed as the ratio of between-subjects variance to the sum of the between- and within-subjects variances using late-night intake data during the first night of SR from 2200h-0400h and during TSD from 2200h-0600h, and using daily intake data following the first night of SR from 0800h-2200h and following TSD from 0600h-2200h. Results: Caloric and macronutrient (protein, carbohydrate, fat) intake during the day following SR and TSD were moderately to substantially consistent within individuals (ICCs: 0.34–0.75). During the late-night period of SR and TSD, both caloric and macronutrient intake consistency was slight to moderate (ICCs: 0.03–0.55). Conclusion: This is the first evidence of moderate to substantial inter-individual variance and phenotypic stability of energy balance responses to two commonly experienced types of sleep loss. Our results indicate some individuals are more vulnerable to greater caloric intake and subsequent weight gain during and after sleep loss of varying durations, and herald the use of biomarkers and countermeasures for prediction and mitigation of this critical vulnerability. Support (If Any): Supported by the Department of the Navy, Office of Naval Research Award No. N00014-11-1-0361 (NG); National Aeronautics and Space Administration NNX14AN49G (NG); Clinical and Translational Research Center (CTRC) grant UL1TR000003; NIH grant F31 AG044102 (AMS).