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Non-participation in breast cancer screening for women with chronic diseases and multimorbidity: a population-based cohort study

Overview of attention for article published in BMC Cancer, October 2015
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Mentioned by

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2 tweeters

Citations

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25 Dimensions

Readers on

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77 Mendeley
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Title
Non-participation in breast cancer screening for women with chronic diseases and multimorbidity: a population-based cohort study
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1829-1
Pubmed ID
Authors

L. F. Jensen, A. F. Pedersen, B. Andersen, M. Vestergaard, P. Vedsted

Abstract

Chronic diseases and multimorbidity are common in western countries and associated with increased breast cancer mortality. This study aims to investigate non-participation in breast cancer screening among women with chronic diseases and multimorbidity and the role of time in this association. This population-based cohort study used regional and national registries. Women who were invited to the first breast cancer screening round in the Central Denmark Region in 2008-09 were included (n = 149,234). Selected chronic diseases and multimorbidity were assessed up to 10 years before the screening date. Prevalence ratios (PR) were used as an association measure. The results indicated that women with at least one chronic condition were significantly more likely not to participate in breast cancer screening. In adjusted analysis, a significantly higher likelihood of non-participation was found for women with cancer (PR = 1.50, 95 % CI: 1.40-1.60), mental illness (PR = 1.51, 95 % CI: 1.42-1.60), chronic obstructive pulmonary disease (PR = 1.51, 95 % CI: 1.42-1.62), neurological disorders (PR = 1.24, 95 % CI: 1.12-1.37) and kidney disease (PR = 1.70, 95 % CI 1.49-1.94), whereas women with chronic bowel disease (PR = 0.75, 95 % CI 0.65-0.88) were more likely to participate than women without these disease. Multimorbidity was associated with increased non-participation likelihood. E.g. having 3 or more diseases was associated with 58 % increased non-participation likelihood (95 % CI: 27-96 %). Higher non-participation was also observed for women with severe multimorbidity (PR = 1.53, 95 % CI: 1.23-1.90) and mental-physical multimorbidity (PR = 1.54, 95 % CI: 1.36-1.75). In conclusion, we found a strong association between non-participation in breast cancer screening for some chronic diseases and for multimorbidity. The highest propensity not to participate was observed for women with hospital contacts related to the chronic disease in the period closest to the screening date.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Master 10 13%
Unspecified 8 10%
Researcher 7 9%
Student > Bachelor 7 9%
Other 14 18%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 24 31%
Unspecified 8 10%
Nursing and Health Professions 7 9%
Social Sciences 6 8%
Agricultural and Biological Sciences 3 4%
Other 7 9%
Unknown 22 29%

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 August 2016.
All research outputs
#8,590,188
of 11,191,240 outputs
Outputs from BMC Cancer
#2,436
of 4,147 outputs
Outputs of similar age
#156,150
of 250,336 outputs
Outputs of similar age from BMC Cancer
#127
of 280 outputs
Altmetric has tracked 11,191,240 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,147 research outputs from this source. They receive a mean Attention Score of 3.9. 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 250,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.