Joshua F Baker1,2,3, Anne B Newman4, Alka Kanaya5, Mary B Leonard6, Babette Zemel7, Iva Miljkovic4, Jin Long6, David Weber8, Tamara B Harris9. 1. Department of Medicine, Philadelphia Veterans Affairs Medical Center, Philadelphia. 2. University of Pennsylvania, School of Medicine, Philadelphia. 3. Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia. 4. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania. 5. Division of General Internal Medicine, University of California at San Francisco, San Francisco, California. 6. Department of Pediatrics and Medicine, Stanford University, Stanford. 7. Children's Hospital of Philadelphia, Philadelphia. 8. Division of Endocrinology and Diabetes, Golisano Children's Hospital, University of Rochester, Rochester. 9. Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, NIH, Bethesda, Maryl.
Abstract
Background: To determine if adiponectin levels are associated with weight loss, low muscle mass, and physical functioning among the elderly and to determine independent associations with incident disability and death. Methods: Included were 3,044 participants from the Health, Aging and Body Composition Study, who had whole-body dual energy absorptiometry performed to evaluate appendicular lean mass index (ALMI, kg/m2) and fat mass index (FMI, kg/m2), computed tomography measures of thigh muscle density, weight histories, estimates of physical functioning, and adiponectin levels at enrollment. Associations between adiponectin levels and body composition, weight loss, and physical functioning were assessed in multivariable linear regression models. Associations between adiponectin and incident disability and mortality were assessed in mediation analyses, adjusting for other factors. Results: Greater adiponectin at baseline was independently associated with low FMI Z-score, lower waist circumference, low ALMI Z-score, low muscle density, a history of weight loss, and poor physical functioning (all p < .05). Greater adiponectin levels (per SD) were associated with incident disability [HR: 1.14 (1.08, 1.20), p < .001] and greater mortality [HR: 1.17 (1.10, 1.25), p < .001] in models adjusting for demographic factors, adiposity, and comorbid conditions. The association was completely attenuated and no longer significant (all p > 0.05) when adjusting for body composition, muscle density, weight loss, and physical functioning at baseline. Conclusions: Greater serum adiponectin levels are associated with historical weight loss, low skeletal muscle mass, low muscle density, and poor physical functioning. High adiponectin is associated with a greater risk of incident disability and death, but not independently of these factors.
Background: To determine if adiponectin levels are associated with weight loss, low muscle mass, and physical functioning among the elderly and to determine independent associations with incident disability and death. Methods: Included were 3,044 participants from the Health, Aging and Body Composition Study, who had whole-body dual energy absorptiometry performed to evaluate appendicular lean mass index (ALMI, kg/m2) and fat mass index (FMI, kg/m2), computed tomography measures of thigh muscle density, weight histories, estimates of physical functioning, and adiponectin levels at enrollment. Associations between adiponectin levels and body composition, weight loss, and physical functioning were assessed in multivariable linear regression models. Associations between adiponectin and incident disability and mortality were assessed in mediation analyses, adjusting for other factors. Results: Greater adiponectin at baseline was independently associated with low FMI Z-score, lower waist circumference, low ALMI Z-score, low muscle density, a history of weight loss, and poor physical functioning (all p < .05). Greater adiponectin levels (per SD) were associated with incident disability [HR: 1.14 (1.08, 1.20), p < .001] and greater mortality [HR: 1.17 (1.10, 1.25), p < .001] in models adjusting for demographic factors, adiposity, and comorbid conditions. The association was completely attenuated and no longer significant (all p > 0.05) when adjusting for body composition, muscle density, weight loss, and physical functioning at baseline. Conclusions: Greater serum adiponectin levels are associated with historical weight loss, low skeletal muscle mass, low muscle density, and poor physical functioning. High adiponectin is associated with a greater risk of incident disability and death, but not independently of these factors.
Authors: Anne B Newman; Jason L Sanders; Jorge R Kizer; Robert M Boudreau; Michelle C Odden; Adina Zeki Al Hazzouri; Alice M Arnold Journal: Int J Epidemiol Date: 2016-06-06 Impact factor: 7.196
Authors: T Szabó; N Scherbakov; A Sandek; T Kung; S von Haehling; M Lainscak; E A Jankowska; N Rudovich; S D Anker; J Frystyk; A Flyvbjerg; A F H Pfeiffer; W Doehner Journal: Nutr Metab Cardiovasc Dis Date: 2013-06-19 Impact factor: 4.222
Authors: Jason L Sanders; Robert M Boudreau; Brenda W Penninx; Eleanor M Simonsick; Stephen B Kritchevsky; Suzanne Satterfield; Tamara B Harris; Douglas C Bauer; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2012-04-30 Impact factor: 6.053
Authors: E M Simonsick; A B Newman; M C Nevitt; S B Kritchevsky; L Ferrucci; J M Guralnik; T Harris Journal: J Gerontol A Biol Sci Med Sci Date: 2001-10 Impact factor: 6.053
Authors: Joshua F Baker; Joan Marie Von Feldt; Sogol Mostoufi-Moab; Woojin Kim; Elena Taratuta; Mary B Leonard Journal: J Rheumatol Date: 2015-09-01 Impact factor: 4.666
Authors: Jennifer S Brach; Eleanor M Simonsick; Stephen Kritchevsky; Kristine Yaffe; Anne B Newman Journal: J Am Geriatr Soc Date: 2004-04 Impact factor: 5.562
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Authors: Samaneh Farsijani; Lingshu Xue; Robert M Boudreau; Adam J Santanasto; Stephen B Kritchevsky; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2021-11-15 Impact factor: 6.053