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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Increase in relative skeletal muscle mass over time and its inverse association with metabolic syndrome development: a 7-year retrospective cohort study
|
|---|---|
| Published in |
Cardiovascular Diabetology, February 2018
|
| DOI | 10.1186/s12933-018-0659-2 |
| Pubmed ID | |
| Authors |
Gyuri Kim, Seung-Eun Lee, Ji Eun Jun, You-Bin Lee, Jiyeon Ahn, Ji Cheol Bae, Sang-Man Jin, Kyu Yeon Hur, Jae Hwan Jee, Moon-Kyu Lee, Jae Hyeon Kim |
| Abstract |
Skeletal muscle mass was negatively associated with metabolic syndrome prevalence in previous cross-sectional studies. The aim of this study was to investigate the impact of baseline skeletal muscle mass and changes in skeletal muscle mass over time on the development of metabolic syndrome in a large population-based 7-year cohort study. A total of 14,830 and 11,639 individuals who underwent health examinations at the Health Promotion Center at Samsung Medical Center, Seoul, Korea were included in the analyses of baseline skeletal muscle mass and those changes from baseline over 1 year, respectively. Skeletal muscle mass was estimated by bioelectrical impedance analysis and was presented as a skeletal muscle mass index (SMI), a body weight-adjusted appendicular skeletal muscle mass value. Using Cox regression models, hazard ratio for developing metabolic syndrome associated with SMI values at baseline or changes of SMI over a year was analyzed. During 7 years of follow-up, 20.1% of subjects developed metabolic syndrome. Compared to the lowest sex-specific SMI tertile at baseline, the highest sex-specific SMI tertile showed a significant inverse association with metabolic syndrome risk (adjusted hazard ratio [AHR] = 0.61, 95% confidence interval [CI] 0.54-0.68). Furthermore, compared with SMI changes < 0% over a year, multivariate-AHRs for metabolic syndrome development were 0.87 (95% CI 0.78-0.97) for 0-1% changes and 0.67 (0.56-0.79) for > 1% changes in SMI over 1 year after additionally adjusting for baseline SMI and glycometabolic parameters. An increase in relative skeletal muscle mass over time has a potential preventive effect on developing metabolic syndrome, independently of baseline skeletal muscle mass and glycometabolic parameters. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 32% |
| Germany | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Mexico | 1 | 5% |
| Chile | 1 | 5% |
| Unknown | 9 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 84% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 19% |
| Student > Master | 9 | 11% |
| Researcher | 9 | 11% |
| Professor | 4 | 5% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 33 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 20% |
| Nursing and Health Professions | 9 | 11% |
| Sports and Recreations | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 38 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 August 2021.
All research outputs
#1,312,786
of 25,732,188 outputs
Outputs from Cardiovascular Diabetology
#68
of 1,688 outputs
Outputs of similar age
#30,371
of 448,280 outputs
Outputs of similar age from Cardiovascular Diabetology
#2
of 26 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 95% 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 448,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.