This primary trial is an observational analysis from the Sleep and Growth Study 2 (S-Grow2) in 286 adolescents aged 12-13 years. The study used principal component analysis to define meal timing traits, including Delayed Start Condensed Eating Period, Late Sleep Proximal Eating, and Later Energy Intake. Descriptive data showed an average eating period of 11.5 hours per day, with the first eating occasion at 8:00am (40 minutes after waking), the last at 8:00pm (2.7 hours before sleep), a midpoint at 2:15pm, and the timing when 50% of energy intake was consumed at 3:15pm.
The main finding was that higher scores on the Delayed Start Condensed Eating Period pattern were positively associated with higher BMI and fat mass index (FMI) at the upper tails of their distributions. The study did not report effect sizes, p-values, or confidence intervals for these associations.
The authors acknowledge that most observational evidence on this topic stems from adults and that traditional regression modeling has limitations, which this study aimed to address. Causality cannot be inferred from these observational findings, and the clinical relevance of these adiposity surrogates in adolescents is not established.
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Background: The timing of energy intake could be important in the development of obesity. However, most observational evidence stems from adults, anthropometric defined obesity outcomes, single meal timing phenotyping, and traditional regression modeling. Objective: We aimed to describe meal timing patterns in adolescents and determine if they associated with fat mass by modeling the median and all other percentiles of the frequency distribution. Methods: We analyzed data from the Sleep and Growth Study 2 (S-Grow2, N=286, 12-13y). Participants completed 3-day 24-hour dietary recalls and time stamped eating occasions were used to define 8 meal timing traits, with aide from self-reported wake and bed timing. Principal component analysis (PCA) identified multi-dimensional meal timing patterns. Fat mass index (FMI) was estimated using dual energy X-ray absorptiometry. Quantile regression assessed if there were associations between meal timing traits and FMI across the entire FMI frequency distribution. Results: The typical first and last eating occasions were 8:00am (40 minutes after waking) and 8:00pm (2.7 hours before sleep), respectively, thus the eating period typically lasted 11.5 hours per day. The typical eating period midpoint was 2:15pm, and the timing when 50% of energy intake was consumed typically occurred at 3:15pm. PCA revealed three meal timing patterns: 1) Delayed Start, Condensed Eating Period (43% of variance; shorter eating period and delayed timing of first eating); 2) Late, Sleep Proximal Eating (30% of variance; later timing of last eating and extended eating period), and 3) Later Energy Intake (10% of variance; delayed energy intake midpoint). Higher scores for the Delayed Start, Condensed Eating Period pattern associated with higher body mass index and FMI at the upper tails of their distributions. Conclusions: Distinct multidimensional meal timing patterns emerged in early adolescence, with the delayed start, condensed eating period pattern potentially associated with higher adiposity.