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Associations between sarcopenia and degenerative lumbar scoliosis in older women

Overview of attention for article published in Scoliosis and Spinal Disorders, March 2017
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Title
Associations between sarcopenia and degenerative lumbar scoliosis in older women
Published in
Scoliosis and Spinal Disorders, March 2017
DOI 10.1186/s13013-017-0116-0
Pubmed ID
Authors

Yawara Eguchi, Munetaka Suzuki, Hajime Yamanaka, Hiroshi Tamai, Tatsuya Kobayashi, Sumihisa Orita, Kazuyo Yamauchi, Miyako Suzuki, Kazuhide Inage, Kazuki Fujimoto, Hirohito Kanamoto, Koki Abe, Yasuchika Aoki, Tomoaki Toyone, Tomoyuki Ozawa, Kazuhisa Takahashi, Seiji Ohtori

Abstract

Age-related sarcopenia can cause various forms of physical disabilities. We investigated how sarcopenia affects degenerative lumbar scoliosis (DLS) and lumbar spinal canal stenosis (LSCS). Subjects comprised 40 elderly women (mean age 74 years) with spinal disease whose chief complaints were low back pain and lower limb pain. They included 15 cases of DLS (mean 74.8 years) and 25 cases of LSCS (mean age 72.9 years). We performed whole-body dual-energy X-ray absorptiometry (DXA) to analyze body composition, including appendicular and trunk skeletal muscle mass index (SMI; lean mass (kg)/height (m)(2)) and bone mineral density (BMD). A diagnostic criterion for sarcopenia was an appendicular SMI <5.46. To check spinal alignment, lumbar scoliosis (LS), sagittal vertical axis (SVA), thoracic kyphosis (TK), lumbar lordosis (LL), pelvic tilt (PT), pelvic incidence (PI), sacral slope (SS), and vertebral rotational angle (VRA) were measured. Clinical symptoms were determined from the Japanese Orthopedic Association scores, low back pain visual analog scale, and Roland-Morris Disability Questionnaire (RDQ). Criteria for DLS were lumbar scoliosis >10° and a sagittal vertical axis (SVA) >50 mm. Sarcopenia prevalence, correlations between spinal alignment, BMD, and clinical symptoms with appendicular and trunk SMIs, and correlation between spinal alignment and clinical symptoms were investigated. DLS cases had significantly lower body weight, BMI, lean mass arm, and total lean mass than LSCS cases. Sarcopenia prevalence rates were 4/25 cases (16%) in LSCS and 7/15 cases (46.6%) in DLS, revealing a high prevalence in DLS. Appendicular SMIs were DLS 5.61 and LSCS 6.13 (p < 0.05), and trunk SMIs were DLS 6.91 and LSCS 7.61 (p < 0.01) showing DLS to have significantly lower values than LSCS. Spinal alignment correlations revealed the appendicular SMI was negatively correlated with PT (p < 0.05) and the trunk SMI was found to have a significant negative correlation with SVA, PT, LS, and VRA (p < 0.05). The trunk SMI was found to have a significant positive correlation with BMD (p < 0.05). As for clinical symptoms, RDQ was negatively correlated with appendicular SMI and positively correlated with PT (P < 0.05). Sarcopenia complications were noted in 16% of LSCS patients and a much higher percentage, or 46.6%, of DLS patients. Appendicular and trunk SMIs were both lower in DLS, suggesting that sarcopenia may be involved in scoliosis. The appendicular skeletal muscle was related to posterior pelvic tilt, while the trunk muscle affected stooped posture, posterior pelvic tilt, lumbar scoliosis, and vertebral rotation. Decreases in trunk muscle mass were also associated with osteoporosis. Moreover, RDQ had a negative correlation with appendicular skeletal muscle mass and a positive correlation with PT, suggesting that sarcopenia may be associated with low back pain as a result of posterior pelvic tilt. Our research reveals for the first time how sarcopenia is involved in spinal deformations, suggesting decreases in pelvic/lumbar support structures such as trunk and appendicular muscle mass may be involved in the progression of spinal deformities and increased low back pain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 11 11%
Other 9 9%
Researcher 9 9%
Student > Master 9 9%
Other 13 13%
Unknown 38 37%
Readers by discipline Count As %
Medicine and Dentistry 29 28%
Nursing and Health Professions 10 10%
Sports and Recreations 5 5%
Neuroscience 5 5%
Engineering 4 4%
Other 7 7%
Unknown 42 41%
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 24 December 2022.
All research outputs
#14,234,662
of 23,931,222 outputs
Outputs from Scoliosis and Spinal Disorders
#41
of 97 outputs
Outputs of similar age
#162,905
of 311,319 outputs
Outputs of similar age from Scoliosis and Spinal Disorders
#5
of 9 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 53% 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 311,319 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.