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The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births

Overview of attention for article published in BMC Pregnancy and Childbirth, October 2015
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Title
The relative importance of maternal body mass index and glucose levels for prediction of large-for-gestational-age births
Published in
BMC Pregnancy and Childbirth, October 2015
DOI 10.1186/s12884-015-0722-x
Pubmed ID
Authors

Kerstin Berntorp, Eva Anderberg, Rickard Claesson, Claes Ignell, Karin Källén

Abstract

The risk of gestational diabetes mellitus (GDM) increases substantially with increasing maternal body mass index (BMI). The aim of the present study was to evaluate the relative importance of maternal BMI and glucose levels in prediction of large-for-gestational-age (LGA) births. This observational cohort study was based on women giving birth in southern Sweden during the years 2003-2005. Information on 10 974 pregnancies was retrieved from a population-based perinatal register. A 75-g oral glucose tolerance test (OGTT) was performed in the 28 week of pregnancy for determination of the 2-h plasma glucose concentration. BMI was obtained during the first trimester. The dataset was divided into a development set and a validation set. Using the development set, multiple logistic regression analysis was used to identify maternal characteristics associated with LGA. The prediction of LGA was assessed by receiver-operating characteristic (ROC) curves, with LGA defined as birth weight > +2 standard deviations of the mean. In the final multivariable model including BMI, 2-h glucose level and maternal demographics, the factor most strongly associated with LGA was BMI (odds ratio 1.1, 95 % confidence interval [CI] 1.08-1.30). Based on the total dataset, the area under the ROC curve (AUC) of 2-h glucose level to predict LGA was 0.54 (95 % CI 0.48-0.60), indicating poor performance. Using the validation database, the AUC for the final multiple model was 0.69 (95 % CI 0.66-0.72), which was identical to the AUC retrieved from a model not including 2-h glucose (0.69, 95 % CI 0.66-0.72), and larger than from a model including 2-h glucose but not BMI (0.63, 95 % CI 0.60-0.67). Both the 2-h glucose level of the OGTT and maternal BMI had a significant effect on the risk of LGA births, but the relative contribution was higher for BMI. The findings highlight the importance of concentrating on healthy body weight in pregnant women and closer monitoring of weight during pregnancy as a strategy for reducing the risk of excessive fetal growth.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Bachelor 10 17%
Student > Ph. D. Student 7 12%
Student > Postgraduate 5 8%
Researcher 4 7%
Other 12 20%
Unknown 10 17%
Readers by discipline Count As %
Medicine and Dentistry 34 57%
Biochemistry, Genetics and Molecular Biology 3 5%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Computer Science 2 3%
Other 3 5%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2015.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from BMC Pregnancy and Childbirth
#2,998
of 4,191 outputs
Outputs of similar age
#166,883
of 284,657 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#63
of 87 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.