BACKGROUND: Reduced fetal growth is associated with differences in body composition in adult life that may predispose to cardiovascular disease and diabetes. Most published data are based on simple anthropometric measures, which incompletely describe body composition. OBJECTIVE: The objective was to assess body composition and fat distribution by using dual-energy X-ray absorptiometry (DXA). DESIGN: This was a case-control study of 64-72-y-old white men (n = 32) with a low (mean: 2.76 kg) or high (mean: 4.23 kg) birth weight. RESULTS: Compared with the high-birth-weight group, after adjustment for weight and height, the low-birth-weight group had a higher percentage body fat (29.31% compared with 25.33%; P = 0.029) and fat mass (P = 0.039) but a lower fat-free soft tissue (56.32 compared with 59.22 kg; P = 0.024), muscle mass (27.25 compared with 29.22 kg; P = 0.022), and muscle-to-fat ratio. Low birth weight was also associated with a higher trunk-to-limb fat ratio after control for total fat mass (1.42 compared with 1.16; P = 0.005) or percentage body fat (P = 0.041). The same body mass index predicted a greater percentage body fat (P = 0.019) in the low- than in the high-birth-weight group, and the same ratio of trunk-to-limb skinfold thickness (or waist-to-hip ratio) predicted a higher trunk-to-limb fat ratio (P < 0.01). CONCLUSION: Lifelong differences in adult body composition and fat distribution between the low- and high-birth-weight groups are consistent with programming in early life. The use of BMI to predict percentage body fat and the use of the trunk-to-limb skinfold thickness ratio (and waist-to-hip ratio) to predict the trunk-to-limb fat ratio measured by DXA can be misleading when low- and high-birth-weight groups are compared.
BACKGROUND: Reduced fetal growth is associated with differences in body composition in adult life that may predispose to cardiovascular disease and diabetes. Most published data are based on simple anthropometric measures, which incompletely describe body composition. OBJECTIVE: The objective was to assess body composition and fat distribution by using dual-energy X-ray absorptiometry (DXA). DESIGN: This was a case-control study of 64-72-y-old white men (n = 32) with a low (mean: 2.76 kg) or high (mean: 4.23 kg) birth weight. RESULTS: Compared with the high-birth-weight group, after adjustment for weight and height, the low-birth-weight group had a higher percentage body fat (29.31% compared with 25.33%; P = 0.029) and fat mass (P = 0.039) but a lower fat-free soft tissue (56.32 compared with 59.22 kg; P = 0.024), muscle mass (27.25 compared with 29.22 kg; P = 0.022), and muscle-to-fat ratio. Low birth weight was also associated with a higher trunk-to-limb fat ratio after control for total fat mass (1.42 compared with 1.16; P = 0.005) or percentage body fat (P = 0.041). The same body mass index predicted a greater percentage body fat (P = 0.019) in the low- than in the high-birth-weight group, and the same ratio of trunk-to-limb skinfold thickness (or waist-to-hip ratio) predicted a higher trunk-to-limb fat ratio (P < 0.01). CONCLUSION: Lifelong differences in adult body composition and fat distribution between the low- and high-birth-weight groups are consistent with programming in early life. The use of BMI to predict percentage body fat and the use of the trunk-to-limb skinfold thickness ratio (and waist-to-hip ratio) to predict the trunk-to-limb fat ratio measured by DXA can be misleading when low- and high-birth-weight groups are compared.
Authors: Laura D Brown; Paul J Rozance; Stephanie R Thorn; Jacob E Friedman; William W Hay Journal: Am J Physiol Endocrinol Metab Date: 2012-05-29 Impact factor: 4.310
Authors: Dustin T Yates; Jessica L Petersen; Ty B Schmidt; Caitlin N Cadaret; Taylor L Barnes; Robert J Posont; Kristin A Beede Journal: J Anim Sci Date: 2018-06-29 Impact factor: 3.159
Authors: Dustin T Yates; Caitlin N Cadaret; Kristin A Beede; Hannah E Riley; Antoni R Macko; Miranda J Anderson; Leticia E Camacho; Sean W Limesand Journal: Am J Physiol Regul Integr Comp Physiol Date: 2016-04-06 Impact factor: 3.619
Authors: Emily J McAllister; Nikhil V Dhurandhar; Scott W Keith; Louis J Aronne; Jamie Barger; Monica Baskin; Ruth M Benca; Joseph Biggio; Mary M Boggiano; Joe C Eisenmann; Mai Elobeid; Kevin R Fontaine; Peter Gluckman; Erin C Hanlon; Peter Katzmarzyk; Angelo Pietrobelli; David T Redden; Douglas M Ruden; Chenxi Wang; Robert A Waterland; Suzanne M Wright; David B Allison Journal: Crit Rev Food Sci Nutr Date: 2009-11 Impact factor: 11.176