Lifestyle Habits among Pregnant Women in Denmark during the First COVID-19 Lockdown Compared with a Historical Period-A Hospital-Based Cross-Sectional Study.
Hanne Kristine HegaardAne Lilleøre RomKarl Bang ChristensenLotte BrobergStinne HøghCecilie Holm ChristiansenNina Olsen NathanMie Gaarskjaer De WolffNis Peter DammPublished in: International journal of environmental research and public health (2021)
The first national lockdown in Denmark due to the COVID-19 pandemic was declared on 11 March 2020. From this date, national restrictions were imposed. We aimed to assess the potential influence of this first nationwide lockdown on exercise, alcohol consumption, and smoking in early pregnancy. Using a cross-sectional study based on routinely collected patient-reported data, we compared the lifestyle habits of women who were pregnant during the first phase of the pandemic (COVID-19 group) (n = 685) with those of women who were pregnant the year before (Historical group) (n = 787). We found a reduction in any exercise (PR = 0.91, 95% CI (0.84 to 0.99), in adherence to national recommendations of exercise (PR = 0.89, 95% CI (0.80 to 0.99), in cycling (15% vs. 28%, p < 0.0001), and swimming (0.3% vs. 3%, p = 0.0002) in the COVID-19 group compared with the Historical group. The prevalence of binge drinking was reduced in the COVID-19 group compared with the Historical group (PR = 0.80, 95% CI (0.68 to 0.93). In contrast, the prevalence of any weekly alcohol consumption and smoking cessation during pregnancy was similar between groups. Our findings indicate that national restrictions due to the COVID-19 pandemic influenced the lifestyle habits of pregnant women and should be addressed in antenatal counseling.
Keyphrases
- coronavirus disease
- alcohol consumption
- sars cov
- pregnant women
- smoking cessation
- physical activity
- high intensity
- quality improvement
- metabolic syndrome
- weight loss
- cardiovascular disease
- patient reported
- respiratory syndrome coronavirus
- risk factors
- type diabetes
- machine learning
- pregnancy outcomes
- risk assessment
- big data
- polycystic ovary syndrome
- magnetic resonance
- magnetic resonance imaging
- deep learning
- preterm birth
- hepatitis c virus
- body composition
- adipose tissue
- cross sectional
- glycemic control