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Latent class analysis suggests four distinct classes of complementary medicine users among women with breast cancer

Overview of attention for article published in BMC Complementary Medicine and Therapies, November 2015
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Latent class analysis suggests four distinct classes of complementary medicine users among women with breast cancer
Published in
BMC Complementary Medicine and Therapies, November 2015
DOI 10.1186/s12906-015-0937-4
Pubmed ID
Authors

Garrett Strizich, Marilie D. Gammon, Judith S. Jacobson, Melanie Wall, Page Abrahamson, Patrick T. Bradshaw, Mary Beth Terry, Susan Teitelbaum, Alfred I. Neugut, Heather Greenlee

Abstract

Breast cancer patients commonly report using >1 form of complementary and alternative medicine (CAM). However, few studies have attempted to analyze predictors and outcomes of multiple CAM modalities. We sought to group breast cancer patients by clusters of type and intensity of complementary and alternative medicine (CAM) use following diagnosis. Detailed CAM use following breast cancer diagnosis was assessed in 2002-2003 among 764 female residents of Long Island, New York diagnosed with breast cancer in 1996-1997. Latent class analysis (LCA) was applied to CAM modalities while taking into account frequency and intensities. Four distinct latent classes of CAM use emerged: 1) "Low-dose supplement users" (40 %), who used only common nutritional supplements; 2) "Vitamin/mineral supplement users" (39 %), using an abundance of supplements in addition to other practices; 3) "Mind-body medicine users" (12 %), with near-universal use of supplements, mind-body medicine techniques, and massage; and 4) "Multi-modality high-dose users" (9 %), who were highly likely to use nearly all types of CAM. Predictors of membership in classes with substantial CAM use included younger age, more education, higher income, Jewish religion, ideal body mass index, higher fruit and vegetable intake, higher levels of physical activity, receipt of adjuvant chemotherapy, and prior use of oral contraceptives. LCA identified important subgroups of breast cancer patients characterized by varying degrees of complementary therapy use. Further research should explore the reproducibility of these classes and investigate the association between latent class membership and breast cancer outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 14%
Student > Bachelor 10 14%
Student > Master 9 13%
Student > Ph. D. Student 8 11%
Student > Postgraduate 6 8%
Other 14 19%
Unknown 15 21%
Readers by discipline Count As %
Medicine and Dentistry 16 22%
Nursing and Health Professions 13 18%
Social Sciences 5 7%
Business, Management and Accounting 4 6%
Sports and Recreations 4 6%
Other 11 15%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 March 2016.
All research outputs
#6,001,735
of 22,833,393 outputs
Outputs from BMC Complementary Medicine and Therapies
#967
of 3,631 outputs
Outputs of similar age
#92,261
of 386,484 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#13
of 71 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,631 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. 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 386,484 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 75% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.