BACKGROUND: Changes in body composition underlying the association between weight loss and higher mortality are not clear. OBJECTIVE: The objective was to investigate the association between changes in body composition of the appendicular (4 limbs) and central (trunk) compartments and all-cause mortality in men. DESIGN: In men aged > or = 50 y, body composition was assessed every 18 mo for 7.5 y with a whole-body dual-energy X-ray absorptiometry scan. Mortality was assessed for 10 y. Data were analyzed by logistic regression and Cox model and adjusted for age, body mass index (BMI), educational level, lifestyle, physical performance, comorbidities, body composition, and serum concentrations of 17beta-estradiol and 25-hydroxycholecalciferol. RESULTS: Of 715 men who were followed up, 137 (19.2%) died. Mortality was higher in men with the fastest weight loss [lowest compared with middle tertile odds ratio (OR): 2.31; 99% CI: 1.05, 5.09]. Faster loss of appendicular skeletal muscle mass (ASMM) was predictive of mortality (lowest compared with middle tertile OR: 3.60; 99% CI: 1.64, 7.89). Faster loss in ASMM remained a strong predictor of mortality after adjustment for weight loss (OR: 3.41; 99% CI: 1.51, 7.71). Faster loss in ASMM was the strongest predictor of death in the stepwise procedures when it was analyzed jointly with changes in the mass of other compartments. Loss in ASMM calculated over 36 mo was also a stronger predictor of death than were changes in the mass of other compartments (hazard ratio: 1.33 per 1-SD decrease; 95% CI: 1.06, 1.66). CONCLUSION: The accelerated loss of ASMM is predictive of all-cause mortality in older men regardless of age, BMI, lifestyle, physical performance, health status, body composition, and serum 17beta-estradiol and 25-hydroxycholecalciferol.
BACKGROUND: Changes in body composition underlying the association between weight loss and higher mortality are not clear. OBJECTIVE: The objective was to investigate the association between changes in body composition of the appendicular (4 limbs) and central (trunk) compartments and all-cause mortality in men. DESIGN: In men aged > or = 50 y, body composition was assessed every 18 mo for 7.5 y with a whole-body dual-energy X-ray absorptiometry scan. Mortality was assessed for 10 y. Data were analyzed by logistic regression and Cox model and adjusted for age, body mass index (BMI), educational level, lifestyle, physical performance, comorbidities, body composition, and serum concentrations of 17beta-estradiol and 25-hydroxycholecalciferol. RESULTS: Of 715 men who were followed up, 137 (19.2%) died. Mortality was higher in men with the fastest weight loss [lowest compared with middle tertile odds ratio (OR): 2.31; 99% CI: 1.05, 5.09]. Faster loss of appendicular skeletal muscle mass (ASMM) was predictive of mortality (lowest compared with middle tertile OR: 3.60; 99% CI: 1.64, 7.89). Faster loss in ASMM remained a strong predictor of mortality after adjustment for weight loss (OR: 3.41; 99% CI: 1.51, 7.71). Faster loss in ASMM was the strongest predictor of death in the stepwise procedures when it was analyzed jointly with changes in the mass of other compartments. Loss in ASMM calculated over 36 mo was also a stronger predictor of death than were changes in the mass of other compartments (hazard ratio: 1.33 per 1-SD decrease; 95% CI: 1.06, 1.66). CONCLUSION: The accelerated loss of ASMM is predictive of all-cause mortality in older men regardless of age, BMI, lifestyle, physical performance, health status, body composition, and serum 17beta-estradiol and 25-hydroxycholecalciferol.
Authors: Michael J Stec; Neil A Kelly; Gina M Many; Samuel T Windham; S Craig Tuggle; Marcas M Bamman Journal: Am J Physiol Endocrinol Metab Date: 2016-02-09 Impact factor: 4.310
Authors: Antonio Iannelli; Francesco Martini; Anty Rodolphe; Anne-Sophie Schneck; Philippe Gual; Albert Tran; Xavier Hébuterne; Jean Gugenheim Journal: Surg Endosc Date: 2013-09-07 Impact factor: 4.584
Authors: Rebecca Scherzer; Steven B Heymsfield; Daniel Lee; William G Powderly; Phyllis C Tien; Peter Bacchetti; Michael G Shlipak; Carl Grunfeld Journal: AIDS Date: 2011-07-17 Impact factor: 4.177
Authors: Jena R White; Amy L Confides; Stephanie Moore-Reed; Johanna M Hoch; Esther E Dupont-Versteegden Journal: Exp Gerontol Date: 2015-02-12 Impact factor: 4.032
Authors: Paula Debroy; Jordan E Lake; Myung Sim; Kristine M Erlandson; Julian Falutz; Carla M Prado; Todd T Brown; Giovanni Guaraldi; The Modena Hiv Metabolic Cohort Team Journal: Antivir Ther Date: 2019
Authors: Daniel Berglind; Mikaela Willmer; Ulf Eriksson; Anders Thorell; Magnus Sundbom; Joanna Uddén; Mustafa Raoof; Jakob Hedberg; Per Tynelius; Erik Näslund; Finn Rasmussen Journal: Obes Surg Date: 2015-01 Impact factor: 4.129
Authors: Daniel Berglind; Mikaela Willmer; Per Tynelius; Ata Ghaderi; Erik Näslund; Finn Rasmussen Journal: Obes Surg Date: 2016-07 Impact factor: 4.129