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A systematic approach for establishing the range of recommended weight gain in pregnancy.
- Source :
- American Journal of Clinical Nutrition; Aug2014, Vol. 100 Issue 2, p701-707, 7p, 2 Charts, 2 Graphs
- Publication Year :
- 2014
-
Abstract
- Background: Current approaches for establishing public health guidelines on the recommended range of weight gain in pregnancy are subjective and nonsystematic. Objective: In this article, we outline how decision-making on gestational weight-gain guidelines could be aided by quantitative approaches used in noninferiority trials. Design: We reviewed the theoretical application of noninferiority margins to pregnancy weight-gain guidelines. A worked example illustrated the selection of the recommended range of pregnancy weight gain in women who delivered at the Magee-Womens Hospital, Pittsburgh, PA, in 2003-2010 by identifying weight-gain z scores in which risk of unplanned cesarean delivery, preterm birth, small-for-gestational-age infant, and large-for-gestational-age infant were not meaningfully increased (based on noninferiority margins of 10% and 20%). Results: In normal-weight women, lowest risk of adverse perinatal outcome was observed at a weight-gain z score of -0.2 SDs. With a noninferiority margin of 20%, risks of adverse outcome were not meaningfully increased from the -0.2-SD reference value between z scores of -0.97 and +0.33 SDs (which corresponded to 11.3-18.4 kg). In overweight women, the recommended range was much broader: -2.11 to +0.29 SDs (4.4-18.1 kg). Conclusion: The new approach illustrated in this article has a number of advantages over current methods for establishing pregnancy weight-gain guidelines because it is systematic, it is reproducible, and it provides a tool for policy makers to derive guidelines that explicitly reflect values at which risk of adverse outcome becomes meaningfully increased. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANTHROPOMETRY
BIRTH size
CESAREAN section
CONFIDENCE intervals
GESTATIONAL age
PREMATURE infants
EVALUATION of medical care
MULTIVARIATE analysis
OBESITY
REFERENCE values
REGRESSION analysis
RESEARCH evaluation
RESEARCH funding
SELF-evaluation
WOMEN'S health
WEIGHT gain
DECISION making in clinical medicine
BODY mass index
RANDOMIZED controlled trials
RELATIVE medical risk
DATA analysis software
DESCRIPTIVE statistics
EVALUATION
PREGNANCY
Subjects
Details
- Language :
- English
- ISSN :
- 00029165
- Volume :
- 100
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- American Journal of Clinical Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 102353840
- Full Text :
- https://doi.org/10.3945/ajcn.114.085258