Association of meal timing with body composition and cardiometabolic risk factors in young adults.

Manuel Dote-Montero, Francisco M Acosta, Guillermo Sanchez-Delgado, Elisa Merchan-Ramirez, Francisco J Amaro-Gahete, Idoia Labayen, Jonatan R Ruiz

Journal: European journal of nutrition 2023;62(5):2303-2315

PMID: 37100891

Plain Language Summary

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Despite the known consequences of excess body weight, the prevalence of obesity continues to rise. Body weight regulation and obesity are highly influenced by several factors such as genetics, physiology, and socioeconomic factors. The aim of this study was to elucidate the association of meal timing with anthropometry body composition and cardiometabolic risk factors in young adults. This study was a cross-sectional study of 118 young adults (n=82 women). Results showed that meal timing is not related to anthropometry or body composition parameters in young adults. Similarly, caloric midpoint, eating jetlag and the time from last food intake to midsleep point are not associated with cardiometabolic risk factors. However, a longer daily eating window and a shorter time from midsleep point to first food intake (i.e., earlier first food intake in a 24 h cycle) are associated with a healthier cardiometabolic profile in young men. Authors concluded that eating early in alignment with circadian rhythms may improve cardiometabolic health.

Abstract

PURPOSE

To investigate the association of meal timing with body composition and cardiometabolic risk factors in young adults.

METHODS

In this cross-sectional study participated 118 young adults (82 women; 22 ± 2 years old; BMI: 25.1 ± 4.6 kg/m). Meal timing was determined via three non-consecutive 24-h dietary recalls. Sleep outcomes were objectively assessed using accelerometry. The eating window (time between first and last caloric intake), caloric midpoint (local time at which ≥ 50% of daily calories are consumed), eating jetlag (variability of the eating midpoint between non-working and working days), time from the midsleep point to first food intake, and time from last food intake to midsleep point were calculated. Body composition was determined by DXA. Blood pressure and fasting cardiometabolic risk factors (i.e., triglycerides, total cholesterol, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, and insulin resistance) were measured.

RESULTS

Meal timing was not associated with body composition (p > 0.05). The eating window was negatively related to HOMA-IR and cardiometabolic risk score in men (R = 0.348, β = - 0.605; R = 0.234, β = - 0.508; all p ≤ 0.003). The time from midsleep point to first food intake was positively related to HOMA-IR and cardiometabolic risk score in men (R = 0.212, β = 0.485; R = 0.228, β = 0.502; all p = 0.003). These associations remained after adjusting for confounders and multiplicity (all p ≤ 0.011).

CONCLUSIONS

Meal timing seems unrelated to body composition in young adults. However, a longer daily eating window and a shorter time from midsleep point to first food intake (i.e., earlier first food intake in a 24 h cycle) are associated with better cardiometabolic health in young men.

CLINICAL TRIAL REGISTRATION

NCT02365129 ( https://www.

CLINICALTRIALS

gov/ct2/show/NCT02365129?term=ACTIBATE&draw=2&rank=1 ).

© 2023. The Author(s).

Address: Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain. [email protected].; Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain.; Turku PET Centre, University of Turku, Turku, Finland.; Turku PET Centre, Turku University Hospital, Turku, Finland.; InFLAMES Research Flagship Center, University of Turku, Turku, Finland.; Division of Endocrinology, Department of Medicine, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada.; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.; Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain.; Institute for Sustainability and Food Chain Innovation (ISFOOD), University of Navarra, Pamplona, Spain.; Navarra Institute for Health Research, IdiSNA, Pamplona, Spain.; Department of Health Sciences, Public University of Navarra, Campus de Arrosadia, Pamplona, Spain.; Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain. [email protected].; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain. [email protected].; Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain. [email protected].
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