Literature DB >> 35397637

Pilot study for the development of a screening questionnaire to detect sarcopenic obesity.

D J Bissonnette1, B N Burk2, M Hadley3, P Knoblich4.   

Abstract

BACKGROUND/GOAL: Caloric restriction-the most prevalent obesity treatment-has a 97% failure rate when spread over 5-7 years. Sarcopenic obesity is thought to be the consequence of chronic dieting and the cause of weight management problems. This pilot study's goal was to develop a screening questionnaire that detects sarcopenic obesity in young and middle-aged female adults. SUBJECTS/
METHOD: A total of 23 women (ages 19-59) completed a sarcopenic obesity questionnaire and were assessed for total body weight (TBWt), percent fat mass, and percent fat-free mass (%FFM) using the Bod Pod (air plethsmography), and bioelectrical impedance analysis (BIA). Appendicular skeletal mass (ASM) was calculated using BIA. Resting energy expenditure was determined using indirect calorimetry, and the basal metabolic rate (BMR) was calculated using BIA.
RESULTS: The screening questionnaire score was negatively correlated with BMR (r2 = 0.885), %FFM (r2 = 0.86), ASM (r2 = 0.79) relative to TBWt and to ASM/BMI (r2 = 0.58). The screening questionnaire had an acceptable sensitivity (83%) and specificity (87%) in detecting sarcopenia measured using ASM/BMI.
CONCLUSION: This pilot intimates that subjects who frequently dieted suffered from a disproportionally lower FFM and BMR relative to the TBWt. The questionnaire can help clinicians recognize the presence of sarcopenic obesity in patients.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35397637     DOI: 10.1038/s41366-022-01118-y

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.551


  9 in total

1.  Weight Cycling as a Risk Factor for Low Muscle Mass and Strength in a Population of Males and Females with Obesity.

Authors:  Andrea P Rossi; Sofia Rubele; Simona Calugi; Cesare Caliari; Francesco Pedelini; Fabio Soave; Elisa Chignola; Paola Vittoria Bazzani; Gloria Mazzali; Riccardo Dalle Grave; Mauro Zamboni
Journal:  Obesity (Silver Spring)       Date:  2019-07       Impact factor: 5.002

2.  Epidemiology of sarcopenia among the elderly in New Mexico.

Authors:  R N Baumgartner; K M Koehler; D Gallagher; L Romero; S B Heymsfield; R R Ross; P J Garry; R D Lindeman
Journal:  Am J Epidemiol       Date:  1998-04-15       Impact factor: 4.897

Review 3.  Does weight cycling promote obesity and metabolic risk factors?

Authors:  Grace M Mackie; Dorit Samocha-Bonet; Charmaine S Tam
Journal:  Obes Res Clin Pract       Date:  2016-10-20       Impact factor: 2.288

4.  Collateral fattening: When a deficit in lean body mass drives overeating.

Authors:  Abdul G Dulloo
Journal:  Obesity (Silver Spring)       Date:  2017-01-11       Impact factor: 5.002

5.  Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability.

Authors:  Ian Janssen; Steven B Heymsfield; Robert Ross
Journal:  J Am Geriatr Soc       Date:  2002-05       Impact factor: 5.562

6.  Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People.

Authors:  Alfonso J Cruz-Jentoft; Jean Pierre Baeyens; Jürgen M Bauer; Yves Boirie; Tommy Cederholm; Francesco Landi; Finbarr C Martin; Jean-Pierre Michel; Yves Rolland; Stéphane M Schneider; Eva Topinková; Maurits Vandewoude; Mauro Zamboni
Journal:  Age Ageing       Date:  2010-04-13       Impact factor: 10.668

7.  Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry.

Authors:  S B Heymsfield; R Smith; M Aulet; B Bensen; S Lichtman; J Wang; R N Pierson
Journal:  Am J Clin Nutr       Date:  1990-08       Impact factor: 7.045

8.  Understanding and using sensitivity, specificity and predictive values.

Authors:  Rajul Parikh; Annie Mathai; Shefali Parikh; G Chandra Sekhar; Ravi Thomas
Journal:  Indian J Ophthalmol       Date:  2008 Jan-Feb       Impact factor: 1.848

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

  9 in total

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