Body composition reference ranges in community-dwelling adults using dual-energy X-ray absorptiometry: the Australian Body Composition (ABC) Study

被引:23
作者
Kirk, Ben [1 ,2 ,3 ]
Bani Hassan, Ebrahim [1 ,2 ,3 ]
Brennan-Olsen, Sharon [1 ,2 ,3 ,4 ,5 ]
Vogrin, Sara [1 ,2 ,3 ]
Bird, Stefanie [1 ,2 ,3 ]
Zanker, Jesse [1 ,2 ,3 ]
Phu, Steven [1 ,6 ]
Meerkin, Jarrod D. [7 ]
Heymsfield, Steven B. [8 ]
Duque, Gustavo [1 ,2 ,3 ]
机构
[1] Univ Melbourne, Melbourne Med Sch, Dept Med Western Hlth, Melbourne, Vic, Australia
[2] Univ Melbourne, Gerosci & Osteosarcopenia Res Program, Australian Inst Musculoskeletal Sci AIMSS, Melbourne, Vic, Australia
[3] Western Hlth, Melbourne, Vic, Australia
[4] Deakin Univ, Sch Hlth & Social Dev, Geelong Waterfront Campus, Geelong, Vic, Australia
[5] Deakin Univ, Inst Hlth Transformat, Geelong, Vic, Australia
[6] Univ New South Wales, Falls Balance & Injury Res Ctr, Neurosci Res Australia, Sydney, NSW, Australia
[7] MeasureUp, Sydney, NSW, Australia
[8] Pennington Biomed Res Ctr, Baton Rouge, LA USA
关键词
Body composition; Dual‐ energy X‐ ray absorptiometry; Fat mass; Lean mass; Reference ranges; APPENDICULAR LEAN MASS; INSULIN-RESISTANCE; REFERENCE VALUES; SKELETAL-MUSCLE; CENTILE CURVES; HEALTH; MEN; INFILTRATION; INFLAMMATION; WOMEN;
D O I
10.1002/jcsm.12712
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Reference ranges for lean mass (LM) and fat mass (FM) are essential in identifying soft tissue disorders; however, no such reference ranges exist for the most commonly used Hologic dual-energy X-ray absorptiometry (DXA) machine in Australia. Methods Cross-sectional study of community-dwelling adults (aged 18-88 years) who underwent a Hologic DXA scan at one of three commercialized densitometry centres in Australia. Age-specific and sex-specific percentile curves were generated for LM [LM, appendicular lean mass (ALM), ALM adjusted for height squared (ALM/h(2)), and ALM adjusted for body mass index (ALM/BMI)] and FM [FM, FM adjusted for height squared (FM/h(2)), appendicular fat mass, and android and gynoid fat] parameters using the LMS statistical method. Cutpoints equivalent to T-scores of -1, -2, and -2.5 standard deviations below the young mean reference group (20-29 years) were also generated for LM parameters. Results A total of 15 479 community-dwelling adults (54% men) with a median age of 33 years (interquartile range: 28, 42) were included. LM, ALM, and ALM/h(2) remained stable until age 50, after which these parameters started to decline in both sexes. Compared with age 50, median percentiles of LM, ALM, and ALM/h(2) declined by -5.9 kg, -3.7 kg, and -0.86 kg/m(2) in men and by -2.5 kg, -1.8 kg, and -0.10 kg/m(2) in women at age 70, respectively. Adjusting ALM for BMI (rather than height squared) resulted in different trends, with ALM/BMI decreasing from as early as age 20. Compared with age 20, median percentiles of ALM/BMI at age 40 declined by -0.10 kg/kg/m(2) in men and by -0.06 kg/kg/m(2) in women; and at age 70, ALM/BMI declined by -0.25 kg/kg/m(2) in men and by -0.20 kg/kg/m(2) in women. Cutpoints equivalent to T-scores of -1, -2, and -2.5 standard deviations for ALM/BMI were 1.01, 0.86, and 0.77 kg/kg/m(2) in men and 0.70, 0.59, and 0.53 kg/kg/m(2) in women, respectively. All FM parameters progressively increased from age 20 and continued up until age 70. Conclusions We developed reference ranges for LM and FM parameters from Hologic DXA machines in a large cohort of Australian adults, which will assist researchers and clinicians in identifying soft tissue disorders such as obesity, sarcopenia, and cachexia.
引用
收藏
页码:880 / 890
页数:11
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