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Is there a causal effect of parity on body composition: a birth cohort study

Overview of attention for article published in BMC Public Health, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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1 blog
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1 tweeter

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2 Dimensions

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65 Mendeley
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Title
Is there a causal effect of parity on body composition: a birth cohort study
Published in
BMC Public Health, February 2018
DOI 10.1186/s12889-018-5089-2
Pubmed ID
Authors

Bárbara Reis-Santos, Fernando C. Barros, Bernardo L. Horta

Abstract

Non-communicable diseases are the leading cause of death, worldwide. Obesity is one of the factors that is associated with the development of such diseases. The role of reproductive factors on women body composition has been evaluated, but the findings are controversial. This study was aimed at assessing the association of parity with body composition among women. In 1982, the maternity hospital of Pelotas, a southern Brazilian city, were visited daily and all deliveries were identified. Those livebirths whose family lived in the urban area of the city have been prospectively followed (n = 5914). In 2012-13, we tried to follow the whole cohort, the subjects were interviewed and examined. We evaluated the association of parity with the following body composition variables: body mass index, waist circumference and fat mass %. Estimates were adjusted for family income, skin color, maternal schooling, occupational status, alcohol, smoking, physical activity, and consumption of processed and ultraprocessed foods. All these analyses were replicated among the cohort men as a comparison. We also assessed whether duration of breastfeeding moderated the association. In the 2012-13 visit, 3701 subjects were evaluated (mean age of 30.2 years). In the present analysis, we included 1620 women and 1653 men. 33% of women were nulliparous and 48% of men were without children. Even after controlling for confounding, parous women had a BMI 0.96 kg/m2(95% CI: 0.30; 1.62) higher than nulliparous and for men the regression coefficient was 0.79 kg/m2(95% CI: 0.29; 1.29). Waist circumference was also higher among parous women. Among men, the association was not linear and the regression coefficients were lower than that observed among women [3.41 cm (95% CI: -0.91; 7.73) among men and 4.83 cm (95% CI: 2.43; 7.24) among women with more than 3 children when compared with those without children], but this difference was not statistically significant (interaction p value = 0.58). Fat mass % was not associated with parity. Breastfeeding did not modify the association between parity and body composition. Parity was positively associated with body mass index and waist circumference among women. However, similar results among men suggest that there is no causal effect of parity.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 20%
Student > Bachelor 12 18%
Student > Doctoral Student 8 12%
Researcher 6 9%
Student > Ph. D. Student 6 9%
Other 6 9%
Unknown 14 22%
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Nursing and Health Professions 10 15%
Sports and Recreations 8 12%
Social Sciences 5 8%
Psychology 3 5%
Other 7 11%
Unknown 22 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 February 2018.
All research outputs
#1,904,362
of 12,552,783 outputs
Outputs from BMC Public Health
#2,247
of 8,570 outputs
Outputs of similar age
#63,865
of 271,181 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 12,552,783 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,570 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 73% 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 271,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them