Literature DB >> 32504420

Diagnostic cut-offs, prevalence, and biochemical predictors of sarcopenia in healthy Indian adults: The Sarcopenia-Chandigarh Urban Bone Epidemiological Study (Sarco-CUBES).

Rimesh Pal1, Anshita Aggarwal1, Tulika Singh2, Sadhna Sharma3, Niranjan Khandelwal2, Abhilasha Garg1, Anil Bhansali1, Ashok Kumar4, Urmila Yadav4, Priyanka Singh1, Vandana Dhiman1, Pinaki Dutta1, Sanjay K Bhadada5.   

Abstract

PURPOSE: Comprehensive data on diagnosis and prevalence of sarcopenia in India are lacking. The present study was undertaken to determine cut-offs for low muscle strength (MS) and low muscle mass (MM), and find out the prevalence of sarcopenia in Indians.
METHODS: Apparently healthy individuals aged ≥ 20 years with no prior history of any co-morbidities were recruited from community by door-to-door survey. Participants eligible for study underwent blood sampling. Individuals identified as having biochemical abnormalities that could potentially affect MS and MM were excluded. Enrolled participants underwent DEXA. Muscle mass, MS, and physical performance were expressed as appendicular skeletal muscle index (ASMI), dominant handgrip strength (HGS), and usual gait speed (GS), respectively. Cut-offs for low MS and MM were defined as HGS and ASMI 2SD < mean of young reference population (20-39 years). A GS ≤ 0.8 m/s defined poor physical performance. Using them, the prevalence of sarcopenia was estimated as per EWGSOP2 recommendations.
RESULTS: After exclusion, 804 participants were enrolled (mean age = 44.4 years). Peak HGS, ASMI, and GS were achieved in the 3rd/4th decades. Muscle strength/mass was lower than Caucasians. A HGS < 27.5 kg (males)/18.0 kg (females) and an ASMI < 6.11 kg/m2 (males)/4.61 kg/m2 (females) defined low MS and MM, respectively. Accordingly, prevalence of 'probable sarcopenia', 'sarcopenia', and 'severe sarcopenia' was 14.6%, 3.2%, and 2.3%, respectively. Corresponding values were higher when European cut-offs were used. Only serum testosterone positively predicted HGS/ASMI/GS in males.
CONCLUSIONS: Indians have low MS/MM, and hence, indigenous and not Western cut-offs should be used to define sarcopenia in Indians.

Entities:  

Keywords:  Gait speed; India; Muscle mass; Muscle strength; Sarcopenia

Mesh:

Year:  2020        PMID: 32504420     DOI: 10.1007/s41999-020-00332-z

Source DB:  PubMed          Journal:  Eur Geriatr Med        ISSN: 1878-7649            Impact factor:   1.710


  4 in total

1.  The prevalence of sarcopenic obesity in community-dwelling healthy Indian adults - The Sarcopenic Obesity-Chandigarh Urban Bone Epidemiological Study (SO-CUBES).

Authors:  Rimesh Pal; Sanjay K Bhadada; Anshita Aggarwal; Tulika Singh
Journal:  Osteoporos Sarcopenia       Date:  2021-01-15

2.  Prevalence and factors contributing to primary sarcopenia in relatively healthy older Indians attending the outpatient department in a tertiary care hospital: A cross-sectional study.

Authors:  Rishal Rahman; Benny Paul Wilson; Thomas Vizhalil Paul; Bijesh Yadav; Gopinath Kango Gopal; Surekha Viggeswarpu
Journal:  Aging Med (Milton)       Date:  2021-12-17

3.  Prevalence of obesity and diabetes in older people with sarcopenia defined according to EWGSOP2 and FNHI criteria.

Authors:  Francesca Remelli; Elisa Maietti; Pasquale Abete; Giuseppe Bellelli; Mario Bo; Antonio Cherubini; Francesco Corica; Mauro Di Bari; Marcello Maggio; Maria Rosaria Rizzo; Andrea P Rossi; Francesco Landi; Stefano Volpato
Journal:  Aging Clin Exp Res       Date:  2021-08-16       Impact factor: 3.636

Review 4.  South Asian Working Action Group on SARCOpenia (SWAG-SARCO) - A consensus document.

Authors:  Minakshi Dhar; Nitin Kapoor; Ketut Suastika; Mohammad E Khamseh; Shahjada Selim; Vijay Kumar; Syed Abbas Raza; Umal Azmat; Monika Pathania; Yovan Parikshat Rai Mahadeb; Sunny Singhal; Mohammad Wali Naseri; Igp Suka Aryana; Subarna Dhoj Thapa; Jubbin Jacob; Noel Somasundaram; Ali Latheef; Guru Prasad Dhakal; Sanjay Kalra
Journal:  Osteoporos Sarcopenia       Date:  2022-05-25
  4 in total

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