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Similarities in Maternal Weight and Birth Weight Across Pregnancies and Across Sisters

Overview of attention for article published in Maternal and Child Health Journal, July 2018
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Title
Similarities in Maternal Weight and Birth Weight Across Pregnancies and Across Sisters
Published in
Maternal and Child Health Journal, July 2018
DOI 10.1007/s10995-018-2602-2
Pubmed ID
Authors

Ellen Luecke, Alison K. Cohen, Miranda Brillante, David H. Rehkopf, Jeremy Coyle, C. Emily Hendrick, Barbara Abrams

Abstract

Objectives The current study examined how prepregnancy body mass index (BMI), gestational weight gain, and birth weight cluster between births within women and between women who are sisters. Methods Using data from the National Longitudinal Survey of Youth 1979 cohort, we utilized nested, multivariable hierarchical linear models to examine the correlation of these three outcomes between births (n = 6006) to women (n = 3605) and sisters (n = 3170) so that we can quantify the clustering by sibship and by woman for these three pregnancy-related outcomes. Results After controlling for confounding covariates, prepregnancy BMI (intraclass correlation (ICC) 0.24, 95% CI 0.16, 0.32), gestational weight gain (ICC 0.23, 95% CI 0.16, 0.31), and infant's birthweight (ICC 0.07, 95% CI 0.003, 0.13) were correlated between sisters. Additionally, all three outcomes were significantly correlated between births for each sister, suggesting that prepregnancy BMI (ICC 0.82, 95% CI 0.81, 0.83), gestational weight gain (ICC 0.45, 95% CI 0.42, 0.49), and birth weight (ICC 0.31, 95% CI 0.28, 0.35) track between pregnancies in the same woman. Conclusions for Practice The observed clustering both within women and between sisters suggests that shared genetic and environmental factors among sisters play a role in pregnancy outcomes above and beyond that of women's own genetic and environmental factors. Findings suggest that asking a woman about her sisters' pregnancy outcomes could provide insight into the possible outcomes for her current pregnancy. Future research should test if collecting such a family history and providing tailored clinical recommendations accordingly would be useful.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 17%
Student > Bachelor 3 10%
Researcher 3 10%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Nursing and Health Professions 5 17%
Social Sciences 3 10%
Psychology 1 3%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 12 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 March 2019.
All research outputs
#15,052,229
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,273
of 2,039 outputs
Outputs of similar age
#189,303
of 332,132 outputs
Outputs of similar age from Maternal and Child Health Journal
#27
of 52 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 34th percentile – i.e., 34% 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 332,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.