Literature DB >> 29502340

Sarcopenia and Its Clinical Correlates in the General Population: The Rotterdam Study.

Katerina Trajanoska1,2, Josje D Schoufour1,2, Sirwan Kl Darweesh2, Elizabeth Benz1,2, Carolina Medina-Gomez1, Louise Jm Alferink3, Lies Lahousse2,4, Guy Brusselle2,4, Bruno Stricker2, Sarwa Darwish Murad3, M Carola Zillikens1, Andre G Uitterlinden1, M Arfan Ikram2, Oscar H Franco2, Fernando Rivadeneira1,2.   

Abstract

Sarcopenia, a complex multifactorial condition, is characterized by loss of muscle mass and function, which increases progressively with age. The existence of different definitions has contributed to the large variation in the prevalence estimates of sarcopenia. We aimed to estimate the prevalence of sarcopenia in the general population using the European Working Group on Sarcopenia in Older People (EWGSOP) proposed definition and compared baseline demographic and clinical characteristics between the nonsarcopenia, presarcopenia, and sarcopenia individuals, with particular emphasis on the overlap with osteoporosis and fracture risk. We studied 5911 subjects at a mean age of 69.2 years (55.8% female) with data on sarcopenia participating in the Rotterdam Study, a prospective population-based cohort study in Rotterdam, the Netherlands. Presarcopenia was defined as having only low muscle mass, whereas sarcopenia was defined based on the presence of low muscle mass, plus either low muscle strength or low physical performance. The prevalence of presarcopenia and sarcopenia was 5.9% and 4.4%, respectively. Individuals with sarcopenia were older, more often males, smokers, with less optimal dietary intake, and more often disabled with lower physical activity. Although the prevalence of fractures was higher in individuals with low lean mass (presarcopenic [16.6%] and sarcopenic [23.5%]) compared with the no sarcopenic group (15.5%), the differences were not present after correcting for age and sex. There were no statistical differences in the prevalence of chronic diseases, with the exception of a higher prevalence of COPD in presarcopenic (29.1%) and sarcopenic (26.9%) individuals compared with nonsarcopenic (13.4%) individuals. Osteoporotic individuals with (odds ratio [OR] = 2.59, 95% confidence interval [CI] 1.41-4.45) and without sarcopenia (OR = 2.75, 95% CI 2.01-3.75) had similar elevated risk of nonvertebral fractures. The presence of sarcopenia appears to be independent of chronic diseases with the exception of COPD and more related to lifestyle factors and disabilities. Sarcopenic individuals in the general population are at no greater risk of fracture than what is determined by their low bone mineral density.
© 2018 American Society for Bone and Mineral Research. © 2018 American Society for Bone and Mineral Research.

Entities:  

Keywords:  EPIDEMIOLOGY; FRACTURE RISK; OSTEOPOROSIS; SARCOPENIA

Mesh:

Year:  2018        PMID: 29502340     DOI: 10.1002/jbmr.3416

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  20 in total

1.  The Predictive Value of Sarcopenia and Falls for 2-Year Major Osteoporotic Fractures in Community-Dwelling Older Adults.

Authors:  Yi Su; Freddy M H Lam; Jason Leung; Wing-Hoi Cheung; Suzanne C Ho; Timothy Kwok
Journal:  Calcif Tissue Int       Date:  2020-05-30       Impact factor: 4.333

2.  Editorial: Frailty, Comorbidity, and COPD.

Authors:  E Charbek; J R Espiritu; R Nayak; J E Morley
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

3.  Appendicular lean mass and fracture risk assessment: implications for FRAX® and sarcopenia.

Authors:  N C Harvey; J A Kanis; E Liu; H Johansson; M Lorentzon; E McCloskey
Journal:  Osteoporos Int       Date:  2019-02-27       Impact factor: 4.507

4.  Frailty trajectories in adult lung transplantation: A cohort study.

Authors:  Aida Venado; Charles McCulloch; John R Greenland; Patricia Katz; Allison Soong; Pavan Shrestha; Steven Hays; Jeffrey Golden; Rupal Shah; Lorriana E Leard; Mary Ellen Kleinhenz; Jasleen Kukreja; Lydia Zablotska; Isabel E Allen; Kenneth Covinsky; Paul Blanc; Jonathan P Singer
Journal:  J Heart Lung Transplant       Date:  2019-03-18       Impact factor: 10.247

5.  Loss in DXA-estimated total body lean mass but not fat mass predicts incident major osteoporotic fracture and hip fracture independently from FRAX: a registry-based cohort study.

Authors:  William D Leslie; John T Schousboe; Suzanne N Morin; Patrick Martineau; Lisa M Lix; Helena Johansson; Eugene V McCloskey; Nicholas C Harvey; John A Kanis
Journal:  Arch Osteoporos       Date:  2020-06-25       Impact factor: 2.617

6.  The Association of Mitochondrial Copy Number With Sarcopenia in Adult Survivors of Childhood Cancer.

Authors:  Kelly McCastlain; Carrie R Howell; Catherine E Welsh; Zhaoming Wang; Carmen L Wilson; Heather L Mulder; John Easton; Ann C Mertens; Jinghui Zhang; Yutaka Yasui; Melissa M Hudson; Leslie L Robison; Mondira Kundu; Kirsten K Ness
Journal:  J Natl Cancer Inst       Date:  2021-11-02       Impact factor: 13.506

Review 7.  The analysis of osteosarcopenia as a risk factor for fractures, mortality, and falls.

Authors:  Z Teng; Y Zhu; Y Teng; Q Long; Q Hao; X Yu; L Yang; Y Lv; J Liu; Y Zeng; S Lu
Journal:  Osteoporos Int       Date:  2021-04-20       Impact factor: 4.507

8.  High muscle-to-fat ratio is associated with lower risk of chronic kidney disease development.

Authors:  Jong Hyun Jhee; Young Su Joo; Seong Hyeok Han; Tae-Hyun Yoo; Shin-Wook Kang; Jung Tak Park
Journal:  J Cachexia Sarcopenia Muscle       Date:  2020-02-05       Impact factor: 12.910

9.  Association between musculoskeletal function deterioration and locomotive syndrome in the general elderly population: a Japanese cohort survey randomly sampled from a basic resident registry.

Authors:  Ryosuke Tokida; Shota Ikegami; Jun Takahashi; Yoshikazu Ido; Ayaka Sato; Noriko Sakai; Hiroshi Horiuchi; Hiroyuki Kato
Journal:  BMC Musculoskelet Disord       Date:  2020-07-03       Impact factor: 2.362

10.  Prevalence and temporal trends of presarcopenia metrics and related body composition measurements from the 1999 to 2006 NHANES.

Authors:  Ji-Bin Li; Yuwan Wu; Dantong Gu; Huajun Li; Xi Zhang
Journal:  BMJ Open       Date:  2020-08-05       Impact factor: 2.692

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