Short sleep increases the risk for obesity in adolescents. One potential mechanism relates to when eating occurs in the day. This study investigated the impact of shortened sleep on eating occasion timing in adolescents. Ninety-three healthy 14- to 17-year-olds (62% female) completed a within-subject experimental sleep manipulation, engaging in 5-night spans of Short Sleep (6.5-hr sleep opportunity) or Healthy Sleep (9.5-hr sleep opportunity), with order randomized. During each condition, adolescents completed three 24-hr diet recall interviews. Repeated-measure t-tests assessed the sleep manipulation effect on each adolescent's number of meals, first and last eating occasion (relative to the clock and time since sleep onset/offset), feeding window (timespan from first to last eating), and the midpoint of feeding. The timing of the first eating occasion was similar across conditions, relative to the clock (Short = 08:51, Healthy = 08:52) and to time since waking (Short = 2.0 hr, Healthy = 2.2 hr). The timing of the last eating occasion was later relative to the clock (Short = 20:34, Healthy = 19:39; p < 0.001), resulting in a longer feeding window (Short = 11.7 hr, Healthy = 10.8 hr, p < 0.001) and a later midpoint in the feeding window (Short = 14:41, Healthy = 14:18, p = 0.002). The gap between last eating occasion and sleep onset was larger in Short (4.2 hr) than Healthy Sleep (2.9 hr; p < 0.001), though the last eating occasion was much earlier than when they fell asleep during either condition. Shortened sleep resulted in adolescents eating later and lengthening the daily feeding window. These findings may help explain the link between shortened sleep and increased obesity risk in adolescents.
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http://dx.doi.org/10.1111/jsr.13806 | DOI Listing |
Foods
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy.
Background: Wearable devices equipped with a range of sensors have emerged as promising tools for monitoring and improving individuals' health and lifestyle.
Objectives: Contribute to the investigation and development of effective and reliable methods for dietary monitoring based on raw kinetic data generated by wearable devices.
Methods: This study uses resources from the NOTION study.
Eur J Clin Nutr
January 2025
Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Background: There are limited data on the amount of discretionary foods that people normally consume and consider as appropriate at one eating occasion. This study aimed to provide an overview of the range and assess differences of the 'normal portion size' and 'perceived appropriate portion size' of energy-dense nutrient-poor discretionary foods among consumers aged 18-65 years.
Methods: To measure normal and perceived appropriate portion sizes, a validated online image-series questionnaire consisting of eight successive portion size options for 15 discretionary foods was completed at two timepoints.
J Hum Nutr Diet
February 2025
School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Background: Meeting protein intake recommendations is relevant for maintaining muscle mass. This study aimed to describe protein intake and its association with meal patterns and dietary patterns.
Methods: An in-house designed, web-based 4-day record was used in the national dietary survey (in 2010/2011).
Am J Clin Nutr
January 2025
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Electronic address:
Background: The precision of recorded eating times directly affects the estimation of eating architecture i.e. size, timing, and frequency of eating.
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December 2024
Department of Applied Human Sciences, Kansas State University, Manhattan, USA.
Associations were examined between sociodemographic characteristics of a US online survey sample of caregiver/adolescent dyads ( = 533) and food intake during independent eating occasions. Caregivers reported sociodemographic characteristics for dyads. Adolescents reported daily intake frequency of sugar-sweetened beverages, junk foods, sugary foods, fast food, and fruits and vegetables during independent eating occasions.
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