Association of Evening Eating with Sleep Quality and Insomnia among Adults in a Brazilian National Survey
To examine the association of evening eating clock time, its elapsed time to the midpoint of sleep (TEM), consumption of caffeine and sugary foods, and reporting dinner as the largest meal with sleep quality indicators and insomnia. Participants ( = 2,050;18-65y) were part of population-based rese...
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Veröffentlicht in: | Sleep science (Sao Paulo, Brazil) Brazil), 2024-12, Vol.17 (4), p.e381-e391 |
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Sprache: | eng |
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Zusammenfassung: | To examine the association of evening eating clock time, its elapsed time to the midpoint of sleep (TEM), consumption of caffeine and sugary foods, and reporting dinner as the largest meal with sleep quality indicators and insomnia.
Participants (
= 2,050;18-65y) were part of population-based research, with virtual data collection. Logistic regression models were fitted to assess differences in the ORs(95%CI) of sleep duration 30 minutes, poor sleep quality, and insomnia (outcomes) with the evening diet-related variables. Linear regression analyses evaluated differences in sleep duration and latency associated with the same variables. Restricted cubic splines were used to study the shape of the association of eating event clock time and TEM with sleep duration and latency.
Each additional hour of evening eating clock time and of the TEM, respectively increased and decreased, the odds of sleep duration 30min [OR(95%CI):1.14(1.07,1.22); 0.88(0.83,0.94)], poor sleep quality [OR(95%CI):1.21(1.13,1.30); 0.80(0.76,0.85)] and insomnia [OR(95%CI):1.12(1.04,1.20); 0.89(0.84,0.95)]. We found a dose-response association between evening eating (clock time and TEM) and sleep duration. The shortest latency was seen when evening eating was ∼20:00 and ∼7-8 hours before the midpoint of sleep. Participants who reported dinner as the largest meal and consumed caffeine and sugary foods/beverages after 18:00 presented higher odds of sleep duration |
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ISSN: | 1984-0659 1984-0063 |
DOI: | 10.1055/s-0044-1800807 |