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Fat mass and fat distribution are associated with low back pain intensity and disability: results from a cohort study

Overview of attention for article published in Arthritis Research & Therapy, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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24 X users
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4 Facebook pages

Citations

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59 Dimensions

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137 Mendeley
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Title
Fat mass and fat distribution are associated with low back pain intensity and disability: results from a cohort study
Published in
Arthritis Research & Therapy, February 2017
DOI 10.1186/s13075-017-1242-z
Pubmed ID
Authors

Sultana Monira Hussain, Donna M. Urquhart, Yuanyuan Wang, Jonathan E. Shaw, Dianna J. Magliano, Anita E. Wluka, Flavia M. Cicuttini

Abstract

Determining the association between body composition and low back pain (LBP) will improve our understanding of the mechanisms by which obesity affects LBP, and inform novel approaches to managing LBP. The aim of this study was to examine the relationship between body composition and LBP intensity and disability. A total of 5058 participants (44% men) of the Australian Diabetes, Obesity and Lifestyle Study were assessed for LBP intensity and disability using the Chronic Pain Grade Questionnaire (2013-2014). Body mass index (BMI) and waist circumference were directly obtained. Fat mass and percentage fat were estimated from bioelectrical impedance analysis at study inception (1999-2000). Eighty-two percent of participants reported LBP, of whom 27% also reported LBP disability. BMI, waist circumference, percent fat, and fat mass were each positively associated with LBP intensity and disability at 12 years after adjustment for potential confounders. LBP intensity and disability showed significant dose-responses to sex-specific quartiles of BMI, waist circumference, percent fat and fat mass. For example, the adjusted OR for LBP intensity in women increased with increasing fat mass quartiles [Q1: 1, Q2: 1.05 (95%CI 0.84-1.32); Q3: 1.25 (1.00-1.57); and Q4: 1.78 (1.42-2.24); p < 0.001]. Fat mass and distribution are associated with LBP intensity and disability, suggesting systemic metabolic factors associated with adiposity play a major role in the pathogenesis of LBP. Clarifying the mechanisms will facilitate developing novel preventive and therapeutic approaches for LBP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 17%
Researcher 14 10%
Student > Master 14 10%
Student > Ph. D. Student 9 7%
Student > Postgraduate 7 5%
Other 20 15%
Unknown 50 36%
Readers by discipline Count As %
Medicine and Dentistry 42 31%
Nursing and Health Professions 10 7%
Sports and Recreations 10 7%
Agricultural and Biological Sciences 5 4%
Engineering 3 2%
Other 9 7%
Unknown 58 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 18 June 2017.
All research outputs
#2,300,014
of 25,413,176 outputs
Outputs from Arthritis Research & Therapy
#417
of 3,384 outputs
Outputs of similar age
#47,365
of 427,528 outputs
Outputs of similar age from Arthritis Research & Therapy
#10
of 49 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,384 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 87% 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 427,528 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 88% of its contemporaries.
We're also able to compare this research output to 49 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.