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Pdf expert 611/4/2022 ![]() ![]() ![]() The association between maternal physical activity and TPL is a controversial topic of great scientific interest. Such lifestyle changes due to the pandemic may affect the risk of maternal and neonatal complications, such as threatened preterm labor (TPL) and preterm birth. The resulting inactivity was observed across age groups and even among pregnant women. People tend to stay at home and avoid outdoor and excessive leisure-time activities. After the World Health Organization declared the COVID-19 outbreak a pandemic, some studies reported that people’s lifestyles have become more sedentary and less active worldwide 1 and also in Japan 2. The coronavirus disease 2019 (COVID-19) has become a great public health concern. In conclusion, our results suggest that the COVID-19 pandemic has ameliorated TPL and consequently reduced the number of preterm births. Oral ritodrine hydrochloride usage in all participants had significantly decreased during the COVID-19 pandemic. There were no clear trends in the prevalence of maternal complications such as hypertensive disorders of pregnancy hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome and preeclampsia. Neonatal outcomes such as low-birth-weight infants and retinopathy of prematurity were also improved during the pandemic. TPL prevalence and preterm birth had significantly decreased in 2020 (41.3%, 2.6%, respectively) compared with those reported in 2018 (45.3%, 3.9%, respectively) and 2019 (44.5%, 3.8%, respectively). We obtained data from the Japan Medical Data Center claims database and evaluated differences in maternal and neonatal complications, such as the prevalence of TPL and preterm birth before the COVID-19 pandemic (in the year 2018 or 2019) and during the COVID-19 pandemic (in 2020). We aimed to evaluate the changes in maternal and neonatal complications such as threatened preterm labor (TPL) and preterm birth before and during the coronavirus disease 2019 (COVID-19) pandemic using large-scale real-world data in Japan. ![]()
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