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Mendeley readers
Attention Score in Context
| Title |
Association between neck and shoulder pain, back pain, low back pain and body composition parameters among the Japanese general population
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, November 2015
|
| DOI | 10.1186/s12891-015-0759-z |
| Pubmed ID | |
| Authors |
Yoichi Iizuka, Haku Iizuka, Tokue Mieda, Tsuyoshi Tajika, Atsushi Yamamoto, Takashi Ohsawa, Tsuyoshi Sasaki, Kenji Takagishi |
| Abstract |
Neck and shoulder pain, back pain and low back pain are common symptoms in Japanese subjects, and it is important to elucidate the pathology and associated factors of these pains due to their frequency and impact on the quality of life (QOL) and activities of daily living (ADL). The purpose of the present study was to investigate whether body composition is associated with these pains. We collected the data of 273 Japanese subjects regarding the presence and the visual analogue scale (VAS) of neck and shoulder pain, back pain, low back pain and body composition parameters calculated using bioelectrical impedance analysis (BIA) technology. Furthermore, we investigated the association between these pains and the body composition using statistical methods. According to a multivariate analysis adjusted for age and gender, lower total body water ratio was significantly associated with the presence of neck and shoulder pain at present (P < 0.05); additionally, total body muscle mass (standardized β = -0.26, 95 % CI, -0.17 - -0.008, P < 0.05), total body water (standardized β = -0.27, 95 % CI, -0.23 - -0.04, P < 0.01), appendicular muscle mass (standardized β = -0.29, 95 % CI, -0.36 - -0.04, P < 0.05), and the appendicular muscle mass index (AMI) (standardized β = -0.24, 95 % CI, -1.18 - -0.20, P <0.01) were negatively correlated with the VAS of neck and shoulder pain, whereas no body composition parameters were significantly associated with back pain, low back pain at present and any type of chronic pain. The present study demonstrated that some body composition parameters regarding body water and body muscle were associated or correlated with the presence or intensity of neck and shoulder pain. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Libya | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 94 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 12% |
| Student > Master | 11 | 11% |
| Other | 8 | 8% |
| Student > Postgraduate | 6 | 6% |
| Student > Ph. D. Student | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 42 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 17% |
| Nursing and Health Professions | 14 | 14% |
| Sports and Recreations | 6 | 6% |
| Social Sciences | 4 | 4% |
| Psychology | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 45 | 46% |
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 23 April 2016.
All research outputs
#13,958,854
of 22,832,057 outputs
Outputs from BMC Musculoskeletal Disorders
#2,030
of 4,045 outputs
Outputs of similar age
#142,719
of 285,322 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#44
of 75 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,045 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 47th percentile – i.e., 47% 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 285,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.