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Chrononutrition during Pregnancy and Its Association with Maternal and Offspring Outcomes: A Systematic Review and Meta-Analysis of Ramadan and Non-Ramadan Studies

期刊

NUTRIENTS
卷 15, 期 3, 页码 -

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MDPI
DOI: 10.3390/nu15030756

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chrononutrition; meal skipping; meal frequency; night eating; fasting; pregnancy; newborn

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Much evidence suggests that food intakes and eating patterns influence peripheral circadian clocks and their misalignment may lead to metabolic disorders. This study systematically reviewed the relationship between various dimensions of chrononutrition during pregnancy and maternal/offspring outcomes. The results indicate that meal skipping and night eating were associated with adverse pregnancy and birth outcomes, while the effect of meal frequency is inconclusive. More large-scale studies are needed to clarify these associations and consider covariates such as physical activity, sleep, and diet quality.
Much evidence suggests that food intakes and eating patterns are major determinants of the phase of peripheral circadian clocks, and desynchronization between them is thought to contribute to the development of metabolic disorders. However, much remains to be understood about how different dimensions of chrononutrition during pregnancy affect pregnant women's and their offspring's health outcomes. Therefore, we systematically reviewed and integrated all emerging evidence on chrononutrition during pregnancy (including meal skipping, meal frequency, night eating, and (Ramadan) fasting) and their relationships with maternal and offspring outcomes. The results suggest that meal skipping and night eating during pregnancy were generally associated with adverse pregnancy and birth outcomes, whereas no strong conclusion could be reached for meal frequency. In our meta-analysis, Ramadan fasting did not seem to be related with birth weight or gestational age at birth, but evidence for other mother-offspring outcomes was inconsistent. To further elucidate the effect of chrononutrition factors on maternal and offspring health outcomes, larger and well-conducted prospective cohort and interventional studies are needed. In addition, information on covariates such as physical activity, sleep, diet quality and quantity, fasting days, fasting period per day, and trimester exposure should also be collected and considered during analysis.

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