Literature DB >> 24397819

Comparison of height- and weight-adjusted sarcopenia in a Taiwanese metropolitan older population.

Nai-Hsin Meng1, Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Wen-Yuan Lin, Chin-Kai Chang, Tsai-Chung Li, Cheng-Chieh Lin.   

Abstract

AIM: The present population-based, cross-sectional study was carried out in communities in Taichung, Taiwan, to identify the prevalence of and the factors associated with sarcopenia, using the diagnostic criteria of the European Working Group on Sarcopenia in Older People, which requires the presence of low muscle mass and low muscle function.
METHODS: We recruited 771 participants aged 65 years or older. Lean soft tissue mass was determined by dual-energy X-ray absorptiometry. Skeletal muscle index was calculated by dividing limb muscle mass by the square of height or weight. Low muscle mass was defined as having a skeletal muscle index two standard deviations or more below the gender-specific means of 506 healthy young adults. Sarcopenic obesity was defined as having sarcopenia and a body mass index over 25.
RESULTS: The prevalence of height- and weight-adjusted sarcopenia was 5.7% and 9.7%, respectively. The prevalence of height-adjusted sarcopenic obesity was 0.13%, much lower than that of weight-adjusted sarcopenic obesity (7.1%). Multivariate logistic regression analyses showed that higher urinary albumin-to-creatinine ratio was associated with both height- and weight-adjusted sarcopenia. Height-adjusted sarcopenia was also associated with male gender, lower body mass index and lower diastolic blood pressure. Weight-adjusted sarcopenia was also associated with older age, female gender, higher body mass index, gout, lack of regular exercise and a history of accidental falls.
CONCLUSIONS: The weight-adjusted skeletal muscle index is more capable of showing the effect of increased age on the prevalence of sarcopenia and identifying subjects with sarcopenic obesity among our study population.
© 2014 Japan Geriatrics Society.

Entities:  

Keywords:  Asian; older people; prevalence; risk factors; sarcopenia

Mesh:

Year:  2014        PMID: 24397819     DOI: 10.1111/ggi.12227

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  17 in total

Review 1.  Fall and Fracture Risk in Sarcopenia and Dynapenia With and Without Obesity: the Role of Lifestyle Interventions.

Authors:  David Scott; Robin M Daly; Kerrie M Sanders; Peter R Ebeling
Journal:  Curr Osteoporos Rep       Date:  2015-08       Impact factor: 5.096

2.  Sarcopenic obesity is associated with impaired physical function and mortality in older patients with heart failure: insight from FRAGILE-HF.

Authors:  Hiroshi Saito; Yuya Matsue; Kentaro Kamiya; Nobuyuki Kagiyama; Daichi Maeda; Yoshiko Endo; Hidenao Ueno; Kenji Yoshioka; Akira Mizukami; Kazuya Saito; Yuki Ogasahara; Emi Maekawa; Masaaki Konishi; Takeshi Kitai; Kentaro Iwata; Kentaro Jujo; Hiroshi Wada; Masaru Hiki; Taishi Dotare; Tsutomu Sunayama; Takatoshi Kasai; Hirofumi Nagamatsu; Tetsuya Ozawa; Katsuya Izawa; Shuhei Yamamoto; Naoki Aizawa; Kazuki Wakaume; Kazuhiro Oka; Shin-Ichi Momomura; Tohru Minamino
Journal:  BMC Geriatr       Date:  2022-07-05       Impact factor: 4.070

3.  The Association Between the Number of Natural Remaining Teeth and Appendicular Skeletal Muscle Mass in Korean Older Adults.

Authors:  Sunyoung Kim; Jin-Young Min; Hong Soo Lee; Kung-Rock Kwon; Jinho Yoo; Chang Won Won
Journal:  Ann Geriatr Med Res       Date:  2018-12-31

Review 4.  The Prevalence of Sarcopenia in Chinese Older Adults: Meta-Analysis and Meta-Regression.

Authors:  Zi Chen; Wei-Ying Li; Mandy Ho; Pui-Hing Chau
Journal:  Nutrients       Date:  2021-04-24       Impact factor: 5.717

5.  Skeletal muscle mass adjusted by height correlated better with muscular functions than that adjusted by body weight in defining sarcopenia.

Authors:  Der-Sheng Han; Ke-Vin Chang; Chia-Ming Li; Yu-Hong Lin; Tung-Wei Kao; Keh-Sung Tsai; Tyng-Grey Wang; Wei-Shiung Yang
Journal:  Sci Rep       Date:  2016-01-20       Impact factor: 4.379

Review 6.  Prevalence of sarcopenia in the world: a systematic review and meta- analysis of general population studies.

Authors:  Gita Shafiee; Abbasali Keshtkar; Akbar Soltani; Zeinab Ahadi; Bagher Larijani; Ramin Heshmat
Journal:  J Diabetes Metab Disord       Date:  2017-05-16

Review 7.  Novel Insights into the Pathogenesis of Spinal Sarcopenia and Related Therapeutic Approaches: A Narrative Review.

Authors:  Yu-Kai Kuo; Yu-Ching Lin; Ching-Yu Lee; Chih-Yu Chen; Jowy Tani; Tsung-Jen Huang; Hsi Chang; Meng-Huang Wu
Journal:  Int J Mol Sci       Date:  2020-04-24       Impact factor: 5.923

Review 8.  Sarcopenia in rheumatic disorders: what the radiologist and rheumatologist should know.

Authors:  Wilfred Manzano; Leon Lenchik; Akshay S Chaudhari; Lawrence Yao; Sarthak Gupta; Robert D Boutin
Journal:  Skeletal Radiol       Date:  2021-07-16       Impact factor: 2.199

Review 9.  Differences among skeletal muscle mass indices derived from height-, weight-, and body mass index-adjusted models in assessing sarcopenia.

Authors:  Kyoung Min Kim; Hak Chul Jang; Soo Lim
Journal:  Korean J Intern Med       Date:  2016-06-22       Impact factor: 2.884

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.