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一生中孕产妇体重轨迹与早产风险

Maternal body weight trajectories across the life course and risk of preterm delivery.

作者信息

Straughen J K, Bazydlo M, Havstad S, Shafie-Khorassani F, Misra D P

机构信息

1Department of Public Health Sciences,Henry Ford Hospital,Detroit,MI,USA.

2Department of Family Medicine and Public Health Sciences,Wayne State University School of Medicine,Detroit,MI,USA.

出版信息

J Dev Orig Health Dis. 2018 Apr;9(2):143-150. doi: 10.1017/S2040174417000708. Epub 2017 Sep 7.

Abstract

We examined the association between life course body weight percentile trajectories and risk for preterm delivery (PTD). Data about women's weight at birth, age 18, and before pregnancy were obtained by retrospective self-report in a cohort of 1410 black women in metropolitan Detroit. Growth mixture models were used to categorize women with similar weight percentile trajectories across these time points. Log-Poisson models were used to examine the association between the trajectory groups and PTD. Four trajectory groups with different beginning and endpoints of their weight percentiles (high-high, high-low, low-high and low-low) best fit the data. The groups with the highest prevalence of PTD were those that started low (low-high, 21%; low-low, 18%). The low-high group had a higher prevalence of PTD than the high-high trajectory group in unadjusted models (prevalence ratio=1.49 [95% confidence interval (CI) 1.11, 2.00]). The association became not significant after adjusting for maternal age at delivery, income, diabetes and hypertension. When compared with the high-high trajectory group, the low-low trajectory seemed to also have a higher prevalence of PTD after adjusting for maternal age at delivery, income, diabetes and hypertension (prevalence ratio=1.35 [95% CI 1.00, 1.83]). Results suggest that a woman's risk for PTD is influenced by her body weight trajectory across the life course.

摘要

我们研究了生命历程中体重百分位数轨迹与早产风险之间的关联。通过对底特律市1410名黑人女性队列进行回顾性自我报告,获取了她们出生时、18岁时以及怀孕前的体重数据。使用生长混合模型对在这些时间点体重百分位数轨迹相似的女性进行分类。使用对数泊松模型来检验轨迹组与早产之间的关联。四个体重百分位数起点和终点不同的轨迹组(高高、高低、低高和低低)最符合数据。早产患病率最高的组是那些起点较低的组(低高组,21%;低低组,18%)。在未调整模型中,低高组的早产患病率高于高高轨迹组(患病率比=1.49 [95%置信区间(CI)1.11, 2.00])。在调整了分娩时的产妇年龄、收入、糖尿病和高血压后,这种关联变得不显著。与高高轨迹组相比,在调整了分娩时的产妇年龄、收入、糖尿病和高血压后,低低轨迹组似乎也有较高的早产患病率(患病率比=1.35 [95% CI 1.00, 1.83])。结果表明,女性的早产风险受其生命历程中的体重轨迹影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360e/8176435/037998b8dec3/nihms-1705982-f0001.jpg

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