University of Montreal Hospital Research Centre, Montreal, QC, Canada.
Institut national de santé publique du Québec, Montreal, QC, Canada.
Acta Diabetol. 2023 Feb;60(2):257-264. doi: 10.1007/s00592-022-02000-z. Epub 2022 Nov 8.
We assessed the impact of Covid-19 on gestational diabetes rates in Quebec, the pandemic epicenter of Canada.
We conducted a population-based study of 569,686 deliveries in Quebec between 2014 and 2021. We measured gestational diabetes rates in wave 1 (March 1, 2020-August 22, 2020) and wave 2 (August 23, 2020-March 31, 2021), compared with the prepandemic period. We used interrupted time series regression to assess changes in gestational diabetes rates during each wave, and log-binomial regression models to estimate adjusted risk ratios (RR) and 95% confidence intervals (CI) for the association of the pandemic with gestational diabetes. We identified the types of patients that contributed to the change in gestational diabetes rates using Kitagawa's decomposition.
Gestational diabetes rates were higher during the first (13.2 per 100 deliveries) and second waves (14.3 per 100 deliveries) than during the prepandemic period (12.4 per 100 deliveries). Risk of gestational diabetes increased both in wave 1 (RR 1.05, 95% CI 1.02-1.09) and wave 2 (RR 1.14, 95% CI 1.10-1.18), compared with the prepandemic period. However, most of the increase in gestational diabetes rates was driven by low-risk women without Covid-19 infections who were socioeconomically advantaged, had no comorbidity, and were 25-34 years of age.
Gestational diabetes rates increased during the pandemic, mainly among women traditionally at low risk of hyperglycemia who did not have Covid-19 infections. Sudden widespread changes in screening or lifestyle can have a large impact on gestational diabetes rates in a population.
我们评估了新冠疫情对加拿大疫情中心魁北克省妊娠糖尿病发病率的影响。
我们对 2014 年至 2021 年间魁北克省 569686 例分娩进行了一项基于人群的研究。我们测量了第 1 波(2020 年 3 月 1 日至 8 月 22 日)和第 2 波(2020 年 8 月 23 日至 2021 年 3 月 31 日)期间的妊娠糖尿病发病率,并与大流行前时期进行了比较。我们使用中断时间序列回归来评估每一波期间妊娠糖尿病发病率的变化,并使用对数二项式回归模型来估计大流行与妊娠糖尿病之间的调整风险比(RR)和 95%置信区间(CI)。我们使用 Kitagawa 的分解来确定导致妊娠糖尿病发病率变化的患者类型。
第 1 波(每 100 例分娩 13.2 例)和第 2 波(每 100 例分娩 14.3 例)的妊娠糖尿病发病率高于大流行前时期(每 100 例分娩 12.4 例)。与大流行前时期相比,第 1 波(RR 1.05,95%CI 1.02-1.09)和第 2 波(RR 1.14,95%CI 1.10-1.18)的妊娠糖尿病风险均增加。然而,妊娠糖尿病发病率的增加主要归因于没有新冠感染且社会经济地位较高、没有合并症且年龄在 25-34 岁的低危女性。
妊娠糖尿病发病率在大流行期间上升,主要发生在没有新冠感染且没有高血糖风险的传统低危女性中。在人群中,筛查或生活方式的突然广泛变化可能对妊娠糖尿病发病率产生重大影响。