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The effect of weight change on changes in breast density measures over menopause in a breast cancer screening cohort

Overview of attention for article published in Breast Cancer Research, May 2015
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Title
The effect of weight change on changes in breast density measures over menopause in a breast cancer screening cohort
Published in
Breast Cancer Research, May 2015
DOI 10.1186/s13058-015-0583-2
Pubmed ID
Authors

Johanna Olga Pauline Wanders, Marije Fokje Bakker, Wouter Bernard Veldhuis, Petra Huberdina Maria Peeters, Carla Henrica van Gils

Abstract

High weight and high percent mammographic breast density are both breast cancer risk factors, but are negatively correlated. Therefore we wanted to obtain more insight in this apparent paradox. We investigated in a longitudinal study how weight change over menopause is related to changes in mammographic breast features. 591 participants of the EPIC-NL cohort, were divided into 3 groups according their prospectively measured weight change over menopause: 1) weight loss (> -3.0 %), 2) stable weight (between -3.0 % and +3.0 %) and 3) weight gain (>3.0 %). SPSS GLM univariate analysis was used to determine both the mean breast measure changes in, and the trend over the weight change groups. Over a median period of 5 years, the mean change in percentage density in these groups was -5.0 % (95 % CI: -8.0; -2.1), -6.8 % (95 % CI: -9.0; -4.5) and -10.2 % (95 % CI: -12.5; -7.9), respectively (p-trend = 0.001). The mean change in dense area was -16.7 cm(2) (95 % CI: -20.1; -13.4), -16.4 cm(2) (95 % CI: -18.9; -13.9) and -18.1 cm(2) (95 % CI: -20.6; -15.5), respectively (p-trend = 0.437). Finally, the mean change in nondense area was -6.1 cm(2) (95 % CI: -11.9; -0.4), -0.6 cm(2) (95 % CI: -4.9; 3.8) and 5.3 cm(2) (95 % CI: 0.9; 9.8), respectively (p-trend < 0.001). Going through menopause is associated with a decrease in both percent density and dense area. The decrease in percent density is largest in women who gain weight, due to an increase in the nondense tissue. The decrease in dense area is not related to weight change. So the fact that both high percent density and high weight or weight gain are associated with high postmenopausal breast cancer risk, can probably not be explained by an increase (or slower decrease) of dense area in women gaining weight compared to women losing weight or staying stable weight. These results suggest that weight and dense area are presumably two independent postmenopausal breast cancer risk factors.

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The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 19%
Student > Ph. D. Student 7 19%
Other 3 8%
Student > Master 3 8%
Researcher 2 6%
Other 4 11%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 10 28%
Nursing and Health Professions 8 22%
Biochemistry, Genetics and Molecular Biology 3 8%
Agricultural and Biological Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 11 31%
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 05 July 2022.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from Breast Cancer Research
#1,387
of 2,053 outputs
Outputs of similar age
#144,287
of 280,694 outputs
Outputs of similar age from Breast Cancer Research
#25
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 30th percentile – i.e., 30% 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 280,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.