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Association of missing paternal demographics on infant birth certificates with perinatal risk factors for childhood obesity

Overview of attention for article published in BMC Public Health, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
blogs
2 blogs
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2 X users

Citations

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142 Dimensions

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146 Mendeley
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Title
Association of missing paternal demographics on infant birth certificates with perinatal risk factors for childhood obesity
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3110-1
Pubmed ID
Authors

Erika R. Cheng, Summer Sherburne Hawkins, Sheryl L. Rifas-Shiman, Matthew W. Gillman, Elsie M. Taveras

Abstract

The role of fathers in the development of obesity in their offspring remains poorly understood. We evaluated associations of missing paternal demographic information on birth certificates with perinatal risk factors for childhood obesity. Data were from the Linked CENTURY Study, a database linking birth certificate and well-child visit data for 200,258 Massachusetts children from 1980-2008. We categorized participants based on the availability of paternal age, education, or race/ethnicity and maternal marital status on the birth certificate: (1) pregnancies missing paternal data; (2) pregnancies involving unmarried women with paternal data; and (3) pregnancies involving married women with paternal data. Using linear and logistic regression, we compared differences in smoking during pregnancy, gestational diabetes, birthweight, breastfeeding initiation, and ever recording a weight for length (WFL) ≥ the 95th percentile or crossing upwards ≥2 WFL percentiles between 0-24 months among the study groups. 11,989 (6.0 %) birth certificates were missing paternal data; 31,323 (15.6 %) mothers were unmarried. In adjusted analyses, missing paternal data was associated with lower birthweight (β -0.07 kg; 95 % CI: -0.08, -0.05), smoking during pregnancy (AOR 4.40; 95 % CI: 3.97, 4.87), non-initiation of breastfeeding (AOR 0.39; 95 % CI: 0.36, 0.42), and with ever having a WFL ≥ 95th percentile (AOR 1.10; 95 % CI: 1.01, 1.20). Similar associations were noted for pregnancies involving unmarried women with paternal data, but differences were less pronounced. Missing paternal data on the birth certificate is associated with perinatal risk factors for childhood obesity. Efforts to understand and reduce obesity risk factors in early life may need to consider paternal factors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 16%
Student > Bachelor 19 13%
Researcher 13 9%
Student > Ph. D. Student 13 9%
Student > Doctoral Student 12 8%
Other 26 18%
Unknown 40 27%
Readers by discipline Count As %
Nursing and Health Professions 37 25%
Medicine and Dentistry 29 20%
Social Sciences 8 5%
Psychology 8 5%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 14 10%
Unknown 47 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 02 August 2016.
All research outputs
#1,520,195
of 23,881,329 outputs
Outputs from BMC Public Health
#1,678
of 15,466 outputs
Outputs of similar age
#29,213
of 359,249 outputs
Outputs of similar age from BMC Public Health
#53
of 346 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 89% of its peers.
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 359,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.