Epidemic Intelligence Service, CDC and South Carolina Department of Health and Environmental Control, USC Arnold School of Public Health, 2100 Bull Street, Columbia, SC 29201, USA.
Epidemic Intelligence Service, CDC, 4770 Buford Hwy NE, Atlanta GA 30341, USA.
Ann Epidemiol. 2024 Mar;91:51-57. doi: 10.1016/j.annepidem.2024.02.002. Epub 2024 Feb 6.
During the early COVID-19 pandemic, an increase in weight gain among the general population was observed; however, gestational weight gain (GWG) was not thoroughly evaluated. We evaluated changes in GWG during the pandemic closures in South Carolina.
We used live, singleton birth records to compare GWG outcomes among three pregnancy groups occurring before (January 2018-February 2020), during (March-May 2020), and after (June 2020-December 2021) pandemic closures. GWG categories were defined by the Institute of Medicine (IOM) recommendations. We used multinomial logistic regression models to calculate prevalence ratios (PRs) of GWG categories stratified by prepregnancy body mass index (BMI) category.
We analyzed 177,571 birth records. Women with normal weight (n = 64,491, 36%) had a slightly lower prevalence of excessive GWG during and after the pandemic closures (PR 0.94; 95% CI: 0.91-0.98 and PR 0.95; 95% CI: 0.93-0.98, respectively). We observed no changes in GWG patterns for women with overweight and obesity.
We found limited changes in GWG patterns for a subset of pregnant women during and after pandemic closures, compared with prepandemic period in South Carolina, countering findings of weight changes among the general population.
在 COVID-19 大流行早期,观察到普通人群体重增加;然而,妊娠期体重增加(GWG)并未得到充分评估。我们评估了南卡罗来纳州大流行关闭期间 GWG 的变化。
我们使用活产单胎出生记录,比较了三个妊娠组(分别为大流行前(2018 年 1 月至 2 月)、大流行期间(2020 年 3 月至 5 月)和大流行后(2020 年 6 月至 2021 年 12 月))的 GWG 结局。GWG 类别由医学研究所(IOM)建议定义。我们使用多变量逻辑回归模型,按孕前体重指数(BMI)类别分层计算 GWG 类别的患病率比(PR)。
我们分析了 177571 份出生记录。体重正常的女性(n=64491,36%)在大流行关闭期间和之后,出现过多 GWG 的比例略低(PR 0.94;95%CI:0.91-0.98 和 PR 0.95;95%CI:0.93-0.98)。我们没有观察到超重和肥胖女性 GWG 模式的变化。
与南卡罗来纳州大流行前相比,我们发现大流行关闭期间和之后,一部分孕妇的 GWG 模式变化有限,这与普通人群体重变化的发现相反。