Background Fetal alcohol spectrum disorder (FASD) is characterized by severe clinical impairment, considerable social burden, and high mortality and morbidity, which are due to various malformations, sepsis, and cancer. As >50% of deaths from FASD occur during the first year of life, we hypothesized that there is the acceleration of biological aging in FASD. Several recent studies have established genome‐wide DNA methylation (DNAm) profiles as “epigenetic clocks” that can estimate biological aging, and FASD has been associated with differential DNAm patterns. Therefore, we tested this hypothesis using epigenetic clocks. Methods We investigated 5 DNAm‐based measures of epigenetic age (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge) and telomere length (DNAmTL) using 4 independent publicly available DNAm datasets; 2 datasets were derived from buccal epithelium, and the other 2 datasets were derived from peripheral blood. Results Compared with controls, children with FASD exhibited an acceleration of GrimAge in 1 buccal and 2 blood datasets. No significant difference was found in other DNAm ages and DNAmTL. Meta‐analyses showed a significant acceleration of GrimAge in the blood samples but not in the buccal samples. Conclusions This study provides novel evidence regarding accelerated epigenetic aging in children with FASD.

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Aim The aim of this study was to investigate the mental health status of healthcare workers and medical students during the early phase of the COVID‐19 pandemic. Methods An online questionnaire was administered to 637 students and 3189 healthcare workers from May to July, 2020. The patient healthcare questionnaire‐9 (PHQ‐9) and state anxiety (A‐State) of the state–trait anxiety inventory‐form (STAI) were used to assess depression and anxiety symptoms, respectively. Individuals were categorized into severe (15 or higher) depression and severe (50–51 or higher) anxiety groups. Results Healthcare workers and those taking care of COVID‐19 patients had a higher risk of severe depression (PHQ‐9 scores >15) than other comparison groups. Students and men also had a higher risk of severe anxiety (STAI > 50–51). Multivariable logistic regression analysis showed that healthcare workers had a fivefold higher risk of developing severe depression symptoms (adjusted odds ratio [OR] = 4.99, confidence interval [CI] 2.24–5.97, P‐value < 0.001) and those taking care of COVID‐19 patients had 2.8‐fold higher risk of developing severe depression symptoms (OR 2.75, CI 1.36–5.53, P‐value = 0.005). Conclusion Both medical students and healthcare workers have been experiencing depression and anxiety symptoms during the first wave of the pandemic. Our findings showed a high rate of severe anxiety symptoms in medical students and a high rate of severe depression symptoms in healthcare workers. Those who treated COVID‐19 patients were at greater risk of developing major depressive disorder than those who treated non‐COVID‐19 patients.

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