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Analysis of the relationships between edentulism, periodontal health, body composition, and bone mineral density in elderly women

Overview of attention for article published in Clinical Interventions in Aging, January 2016
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Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

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7 Dimensions

Readers on

mendeley
41 Mendeley
Title
Analysis of the relationships between edentulism, periodontal health, body composition, and bone mineral density in elderly women
Published in
Clinical Interventions in Aging, January 2016
DOI 10.2147/cia.s100249
Pubmed ID
Authors

Krystyna Rozek-Piechura, Zofia Ignasiak, Mlgorzata Radwan-Oczko, Marta Cholewa, Tomasz Ignasiak, Anna Skrzek, Teresa Slawinska

Abstract

The relationship between bone mineral density (BMD) and tooth loss in conjunction with periodontal disease is not clear. The suggested effects include alteration in bone remodeling rates as well as the multifaceted etiology of edentulism. There is also a question if other body-related variables besides BMD, such as body composition, may be associated with tooth number and general periodontal health. The aim of this study was to evaluate if tooth number and marginal periodontal status are associated with body composition and BMD in a sample of elderly women. The study involved 91 postmenopausal women. Data included basic anthropometric characteristics, body composition via bioelectrical impedance analysis, and BMD analysis at the distal end of the radial bone of the nondominant arm via peripheral dual-energy X-ray absorptiometry. A dental examination was performed to assess tooth number, periodontal pocket depth (PD), and gingival bleeding. In nonosteoporotic women, a significant positive correlation was found between BMD and lean body mass, total body water, and muscle mass. The indicators of bone metabolism correlated negatively with PD. Such relationships did not appear in osteoporotic women. In both groups, basic anthropometric characteristics and body composition were significantly and positively correlated with PD and bleeding on probing. The results suggest that body composition and BMD are not significantly correlated with tooth number and gingival bleeding.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 24%
Student > Master 6 15%
Student > Ph. D. Student 5 12%
Researcher 3 7%
Student > Postgraduate 3 7%
Other 5 12%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Nursing and Health Professions 9 22%
Sports and Recreations 1 2%
Agricultural and Biological Sciences 1 2%
Social Sciences 1 2%
Other 2 5%
Unknown 11 27%

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 27 March 2016.
All research outputs
#3,617,424
of 7,446,125 outputs
Outputs from Clinical Interventions in Aging
#490
of 929 outputs
Outputs of similar age
#138,461
of 275,421 outputs
Outputs of similar age from Clinical Interventions in Aging
#27
of 52 outputs
Altmetric has tracked 7,446,125 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 929 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 43rd percentile – i.e., 43% 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 275,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 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.