Birkan İlhan1, G Bahat, T Erdoğan, C Kılıç, M A Karan. 1. Birkan İlhan, Dr. Ersin Arslan Training and Research Hospital, Department of Internal Medicine, Division of Geriatrics, 27010, Sahinbey, Gaziantep, Telephone: + 90 342 221 07 00 -3901 Fax: + 90 342 221 01 42, birkanilhan@hotmail.com.
Abstract
OBJECTIVES: We aimed to investigate the association between anorexia and sarcopenia in community dwelling older adults. METHOD: Anorexia was assessed by Simplified Nutritional Appetite Questionnaire (SNAQ) and sarcopenia defined by EWSGOP criteria. Study participants consisted of 442 patients from Turkish validation study of the SNAQ. Study is designed as cross-sectional in community dwelling outpatients. MEASUREMENTS: Muscle mass was determined by using bioimpedance analysis. Skeletal muscle mass index (SMMI) was calculated as SMM (kg)/height (m)2. Muscle strength was evaluated by hand grip strength (HGS) with Jamar hydraulic hand dynamometer. Gait speed (GS) was assessed by usual 4 meters speed. Depression and quality of life were assessed by using Geriatric Depression Scale (GDS) and Euro-Quality of Life-5D(EQ-5D). Univariate analysis and multivariate regression analysis were run to evaluate the association between poor appetite and components of sarcopenia. RESULTS: Prevalences of low HGS, low gait speed and sarcopenia were higher in group with poor appetite (p=0.001, p<0.0001, p=0.036, respectively). Depression and constipation were more prevalent in participants with poor appetite (p<0.0001, p=0.033, respectively). SNAQ was correlated with SMMI and EQ-5D. Regression analysis showed that lower muscle mass, lower SMMI, and lower HGS were independently associated with poor appetite after adjustment for confounders. Neither gait speed nor diagnosis of sarcopenia was associated with poor appetite in regression analysis models. CONCLUSION: We observed poor appetite has independent association with lower skeletal muscle mass and decreased muscle strength. Prospective studies are needed to evaluate exact relationship between poor appetite and sarcopenia.
OBJECTIVES: We aimed to investigate the association between anorexia and sarcopenia in community dwelling older adults. METHOD:Anorexia was assessed by Simplified Nutritional Appetite Questionnaire (SNAQ) and sarcopenia defined by EWSGOP criteria. Study participants consisted of 442 patients from Turkish validation study of the SNAQ. Study is designed as cross-sectional in community dwelling outpatients. MEASUREMENTS: Muscle mass was determined by using bioimpedance analysis. Skeletal muscle mass index (SMMI) was calculated as SMM (kg)/height (m)2. Muscle strength was evaluated by hand grip strength (HGS) with Jamar hydraulic hand dynamometer. Gait speed (GS) was assessed by usual 4 meters speed. Depression and quality of life were assessed by using Geriatric Depression Scale (GDS) and Euro-Quality of Life-5D(EQ-5D). Univariate analysis and multivariate regression analysis were run to evaluate the association between poor appetite and components of sarcopenia. RESULTS: Prevalences of low HGS, low gait speed and sarcopenia were higher in group with poor appetite (p=0.001, p<0.0001, p=0.036, respectively). Depression and constipation were more prevalent in participants with poor appetite (p<0.0001, p=0.033, respectively). SNAQ was correlated with SMMI and EQ-5D. Regression analysis showed that lower muscle mass, lower SMMI, and lower HGS were independently associated with poor appetite after adjustment for confounders. Neither gait speed nor diagnosis of sarcopenia was associated with poor appetite in regression analysis models. CONCLUSION: We observed poor appetite has independent association with lower skeletal muscle mass and decreased muscle strength. Prospective studies are needed to evaluate exact relationship between poor appetite and sarcopenia.
Authors: Margaret-Mary G Wilson; David R Thomas; Laurence Z Rubenstein; John T Chibnall; Stephanie Anderson; Amy Baxi; Marilyn R Diebold; John E Morley Journal: Am J Clin Nutr Date: 2005-11 Impact factor: 7.045
Authors: John E Morley; Angela Marie Abbatecola; Josep M Argiles; Vickie Baracos; Juergen Bauer; Shalender Bhasin; Tommy Cederholm; Andrew J Stewart Coats; Steven R Cummings; William J Evans; Kenneth Fearon; Luigi Ferrucci; Roger A Fielding; Jack M Guralnik; Tamara B Harris; Akio Inui; Kamyar Kalantar-Zadeh; Bridget-Anne Kirwan; Giovanni Mantovani; Maurizio Muscaritoli; Anne B Newman; Filippo Rossi-Fanelli; Giuseppe M C Rosano; Ronenn Roubenoff; Morris Schambelan; Gerald H Sokol; Thomas W Storer; Bruno Vellas; Stephan von Haehling; Shing-Shing Yeh; Stefan D Anker Journal: J Am Med Dir Assoc Date: 2011-07 Impact factor: 4.669
Authors: Roger A Fielding; Bruno Vellas; William J Evans; Shalender Bhasin; John E Morley; Anne B Newman; Gabor Abellan van Kan; Sandrine Andrieu; Juergen Bauer; Denis Breuille; Tommy Cederholm; Julie Chandler; Capucine De Meynard; Lorenzo Donini; Tamara Harris; Aimo Kannt; Florence Keime Guibert; Graziano Onder; Dimitris Papanicolaou; Yves Rolland; Daniel Rooks; Cornel Sieber; Elisabeth Souhami; Sjors Verlaan; Mauro Zamboni Journal: J Am Med Dir Assoc Date: 2011-03-04 Impact factor: 4.669
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
Authors: M Muscaritoli; S D Anker; J Argilés; Z Aversa; J M Bauer; G Biolo; Y Boirie; I Bosaeus; T Cederholm; P Costelli; K C Fearon; A Laviano; M Maggio; F Rossi Fanelli; S M Schneider; A Schols; C C Sieber Journal: Clin Nutr Date: 2010-01-08 Impact factor: 7.324
Authors: Li Cheng; Janet W H Sit; Helen Y L Chan; Kai Chow Choi; Regina K Y Cheung; Martin M H Wong; Francis Y K Li; Tin Yan Lee; Elina S M Fung; Keen Man Tai; Winnie K W So Journal: Sci Rep Date: 2021-11-15 Impact factor: 4.379
Authors: Eunjin Jeong; Jung A Kim; Byung Sung Kim; Chang Kyun Lee; Miji Kim; Chang Won Won Journal: Int J Environ Res Public Health Date: 2021-05-27 Impact factor: 3.390