From the Department of Epidemiology, Boston University School of Public Health, Boston, MA.
Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA.
Epidemiology. 2019 Sep;30(5):695-705. doi: 10.1097/EDE.0000000000001055.
Most existing research on gestational weight gain and pregnancy outcomes has not accounted for timing of weight gain. The area under the weight gain curve (AUC) provides a single measure that incorporates both timing of weight gain and total amount gained. This study evaluated predictors and outcomes associated with second- and third-trimester weight gain AUC from the second and third trimester using time-to-event analysis to account for the correlation between gestational weight gain and gestational duration.
Our prospective cohort study used data from the LifeCodes study at Brigham and Women's Hospital. Maternal weights were available from all prenatal and study visits. We used log-Poisson models with empirical variance estimation to identify predictors of total AUC from 14 weeks to delivery and Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between AUC quintile and adverse pregnancy outcomes.
Compared to the middle quintile, the highest quintile of accumulated pound-days was associated with a decreased hazard of spontaneous preterm birth among multigravid women (HR = 0.44; 95% CI = 0.23, 0.84), a decreased hazard of small-for-gestational-age births (HR = 0.65; 95% CI = 0.45, 0.92) overall and an increased hazard of large-for-gestational-age births among normal and underweight women (HR = 3.21; 95% CI = 1.50, 6.89) CONCLUSIONS:: In our study, a pattern of gestational weight gain characterized by more rapid gains earlier in pregnancy was associated with improved pregnancy outcomes in some subgroups of pregnant women.
大多数关于妊娠体重增加和妊娠结局的现有研究都没有考虑体重增加的时间。体重增加曲线下面积(AUC)提供了一个单一的指标,综合了体重增加的时间和总量。本研究使用时间事件分析来评估与第二和第三孕期体重增加 AUC 相关的预测因素和结局,以考虑到妊娠体重增加和妊娠持续时间之间的相关性。
我们的前瞻性队列研究使用了来自布里格姆妇女医院生命密码研究的数据。产妇体重可从所有产前和研究访问中获得。我们使用对数泊松模型和经验方差估计来确定从 14 周到分娩时的总 AUC 的预测因素,并使用 Cox 比例风险模型来估计 AUC 五分位数与不良妊娠结局之间的关联的风险比(HR)和 95%置信区间(CI)。
与中间五分位相比,积累磅数最高的五分位数与多胎产妇自发性早产的风险降低相关(HR = 0.44;95%CI = 0.23,0.84),小于胎龄儿的风险降低(HR = 0.65;95%CI = 0.45,0.92),正常体重和体重不足的女性巨大儿的风险增加(HR = 3.21;95%CI = 1.50,6.89)。
在我们的研究中,妊娠早期体重增加较快的妊娠体重增加模式与某些孕妇亚组的妊娠结局改善有关。