Good Practices for Observational Studies of Maternal Weight and Weight Gain in Pregnancy.
Good Practices for Observational Studies of Maternal Weight and Weight Gain in Pregnancy.
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DOI：
10.1111/ppe.12439
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发表时间：
2018-03
影响因子：
2.8
通讯作者：
Bodnar LM
中科院分区：
文献类型：
--
作者：
Hutcheon JA;Bodnar LM
The worldwide obesity epidemic has heightened the importance of understanding how a woman’s weight during her reproductive years influences health outcomes in the perinatal period and beyond. In a 2009 report, the National Academy of Sciences/Institute of Medicine Committee (IOM) to Reexamine Pregnancy Weight Gain Guidelines outlined a research agenda to fill the most pressing knowledge gaps. 1 This agenda, combined with increased availability of data on maternal height, pre-pregnancy weight, and delivery weight from the 2003 revised US National Vital Statistics System birth records, 2 has promoted an increase in research this field. Yet, observational studies of maternal obesity and gestational weight gain seeking to understand their causal effects present several distinct methodological challenges that, if not properly accounted for, can bias our understanding of the causal impact of these exposures.The objective of this commentary was to describe what we view as good practices for characterising and analysing data on maternal weight and weight gain in pregnancy when viewed as study exposures. We discuss the relative merits of methods to account for the natural dependency between gestational weight gain and gestational duration, approaches to analyse single vs serial weight gain measurements, as well as strategies for reducing bias by accounting for temporality, minimising confounding, and quantifying the contribution of measurement error. In the Box 1, we provide a summary of key considerations for the design and interpretation of studies in this field.
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影响因子：
7.7
作者：
Cole TJ;Donaldson MD;Ben-Shlomo Y
通讯作者：
Ben-Shlomo Y
DOI：
10.3945/ajcn.110.008326
发表时间：
2011-06
期刊：
The American journal of clinical nutrition
影响因子：
--
作者：
Fraser A;Tilling K;Macdonald-Wallis C;Hughes R;Sattar N;Nelson SM;Lawlor DA
通讯作者：
Lawlor DA
影响因子：
6.9
作者：
Gaillard, Romy;Durmus, Busra;Jaddoe, Vincent W. V.
通讯作者：
Jaddoe, Vincent W. V.
影响因子：
9.8
作者：
Ananth CV;Schisterman EF
通讯作者：
Schisterman EF
影响因子：
7.1
作者：
Hutcheon, Jennifer A.;Platt, Robert W.;Bodnar, Lisa M.
通讯作者：
Bodnar, Lisa M.