title: Comparison of regional body composition and its relation with cardiometabolic risk between BMI-matched young and old subjects.
abstract: OBJECTIVE
  Difference in regional body composition between young and old people may be related with differential cardiometabolic risks. We investigated regional body composition in BMI-matched young and old subjects to compare its relation with cardiometabolic risk.
  
  
  METHODS
  We recruited 1:3 gender- and BMI-matched 86 young subjects (mean age 27.3 ± 2.9 years) and 258 older subjects (75.6 ± 8.2 years) from a community. Abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) and muscle area at mid-thigh level were evaluated by computed tomography. Fat depots in the gynoid area and lower extremity were measured by dual energy X-ray absorptiometry. Adiponectin, retinol binding protein-4 (RBP-4), and C-reactive protein (CRP) concentrations, pulse wave velocity (PWV) and ankle-brachial index (ABI) were measured for cardiometabolic risk.
  
  
  RESULTS
  VAT was greater in older subjects while SAT was almost the same, resulting in twice higher VAT/SAT ratio in older men and women (1.03 ± 0.37 and 0.57 ± 0.18) than younger counterparts (0.55 ± 0.24 and 0.23 ± 0.23) (both P < 0.01). Fat mass in the gynoid area and lower extremity was smaller in older subjects than younger subjects. The VAT correlated with adiponectin level negatively and RBP-4 level positively while gynoid fat correlated with them in opposite direction. The CRP levels negatively correlated with mid-thigh muscle in older subjects. Older subjects had higher PWV and lower ABI compared to BMI-matched younger counterparts.
  
  
  CONCLUSIONS
  In conclusion, older adults in this cohort had increased visceral fat and decreased gynoid and lower extremity fat, along with less muscle mass. These findings may help explain the worse cardiometabolic profiles in the elderly who have the same BMI as the young.
authors: Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
authors: Yenna
authors: Y
authors: Lee
authors: Hayley
authors: H
authors: Shin
authors: Jason L
authors: JL
authors: Vassy
authors: Jin Taek
authors: JT
authors: Kim
authors: Sung Il
authors: SI
authors: Cho
authors: Seon Mee
authors: SM
authors: Kang
authors: Sung Hee
authors: SH
authors: Choi
authors: Ki Woong
authors: KW
authors: Kim
authors: Kyong Soo
authors: KS
authors: Park
authors: Hak Chul
authors: HC
authors: Jang
authors: Soo
authors: S
authors: Lim
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods; D052242:Adiponectin / Q000378:metabolism; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D055109:Ankle Brachial Index; D044466:Asian People; D001823:Body Composition; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000209:etiology; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging*; D008297:Male; D009765:Obesity / Q000000981:diagnostic imaging; D063177:Pulse Wave Analysis; D012306:Risk; D050151:Subcutaneous Fat / Q000000981:diagnostic imaging*; D013848:Thigh / Q000000981:diagnostic imaging
chemical_list: D052242:Adiponectin; D002097:C-Reactive Protein