Aim: To evaluate whether fasting during Ramadan has any significant effects on maternal oxidative stress or fetal health in healthy, pregnant women with an uncomplicated, second-trimester, singleton pregnancy.
Methods: During the month of Ramadan, 1-29 September 2008, 42 fasting and 30 non-fasting pregnant women were enrolled in this prospective controlled study. Total antioxidant status (TAS), total oxidant status (TOS) and the oxidative stress index (OSI) were measured from maternal serum samples taken on a fasting day during Ramadan. The two groups underwent routine follow-up examinations. At the end of the pregnancy, maternal complications, birth weight and maternal weight gain during the entire pregnancy were noted. To evaluate whether the duration of fasting days (≥10 or ≥15 days) had any significant effects on maternal oxidative stress, pregnant women who observed Ramadan for more than nine days or those who fasted for more than 14 days were compared with the control group in terms of TAS, TOS and OSI.
Results: No significant differences were observed between the groups studied in terms of TAS, TOS, OSI, maternal age, gestational age, parity, birth weight or weight gain during the pregnancy. The TAS level was evaluated as significantly higher (P = 0.027) in the ≥10 fasting days group compared to the non-fasting control group, while there were no significant differences between the groups with respect to TOS and OSI.
Conclusion: Maternal fasting during Ramadan during the second trimester does not have a significant effect on maternal oxidative stress, fetal development or fetal birth weight.
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http://dx.doi.org/10.1111/j.1447-0756.2010.01419.x | DOI Listing |
Reprod Sci
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Laboratory of Biochemistry and Vascular Biology, Center for Biologic Evaluation and Research, Food and Drug Administration, Bethesda, 20993, MD, USA.
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School of Medicine, Yichun University, Yichun, 336000, China.
Iron oxide nanoparticles (IONPs) have the potential to be utilized in a multitude of fields, including biomedicine. Consequently, the potential health risks associated with their use must be carefully considered. Most biosafety evaluations of IONPs have focused on examining the impact of the material's distinctive physicochemical attributes.
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December 2024
Department of Pharmacy Services, Vocational School of Health Services, Osmaniye Korkut Ata University, Osmaniye, Turkey.
In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II) has been used to develop a model and optimize the conditions for the extracting of the Mentha longifolia (L.) L. plant.
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