title: Relative Importance of Central and Peripheral Adiposities on Cardiometabolic Variables in Females: A Japanese Population-Based Study.
abstract: In epidemiological studies, there is little evidence regarding the relative impact of central adiposity and peripheral adiposity on cardiometabolic risk factors, especially in Asian populations. This study investigated associations between central-to-peripheral fat ratios and cardiometabolic variables using data from a population-based study of Japanese women. The source population was composed of 1800 women aged 50 yr or older at the 15th- to 16th-yr follow-up survey of the Japanese Population-Based Osteoporosis Cohort Study. This study analyzed cross-sectional data from 998 women for whom complete information about body fat variables according to dual-energy X-ray absorptiometry, cardiometabolic variables, and potential confounding factors was available. Both before and after adjusting for potential confounding factors, trunk-to-appendicular fat ratios showed significant (p < 0.05) correlations with brachial-ankle pulse wave velocity, serum lipids, and hemoglobin A1c levels. Relationships between fat ratios and cardiometabolic variables were independent of relationships between fat volumes (in whole body or in trunk) and cardiometabolic variables. Furthermore, relationships between trunk-to-appendicular fat ratios and cardiometabolic variables were observed among women in the lowest tertile of total body fat (brachial-ankle pulse wave velocity, β = 0.08; high-density lipoprotein cholesterol, β = -0.32; low-density lipoprotein cholesterol, β = 0.15; and hemoglobin A1C, β = 0.16; p < 0.05, respectively). Central adiposity is more related to cardiometabolic variables than peripheral adiposity. Information on central-to-peripheral fat ratios is particularly valuable for the evaluation of relatively thin Japanese women.
authors.affiliation: Department of Public Health, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
authors.forename: Katsuyasu
authors.initials: K
authors.lastname: Kouda
authors.affiliation: Department of Orthopedic Medicine, Second Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, China.
authors.forename: Namiraa
authors.initials: N
authors.lastname: Dongmei
authors.affiliation: Department of Hygiene and Public Health, Osaka Medical College, Takatsuki, Japan.
authors.forename: Junko
authors.initials: J
authors.lastname: Tamaki
authors.affiliation: Department of Public Health, Kindai University Faculty of Medicine, Osaka-Sayama, Japan. Electronic address: Masa@med.kindai.ac.jp.
authors.forename: Masayuki
authors.initials: M
authors.lastname: Iki
authors.affiliation: Department of Public Health, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
authors.forename: Takahiro
authors.initials: T
authors.lastname: Tachiki
authors.affiliation: Department of Nursing, Nagoya University Graduate School of Medicine, Nagoya, Japan.
authors.forename: Etsuko
authors.initials: E
authors.lastname: Kajita
authors.affiliation: Department of Nursing Science, Fukui Prefectural University Faculty of Nursing and Social Welfare Sciences, Eiheiji, Japan.
authors.forename: Yoshimi
authors.initials: Y
authors.lastname: Nakatani
authors.affiliation: Laboratory of Physiological Nutrition, Kagawa Nutrition University, Sakado, Japan.
authors.forename: Kazuhiro
authors.initials: K
authors.lastname: Uenishi
authors.affiliation: University of Toyama, Toyama, Japan.
authors.forename: Sadanobu
authors.initials: S
authors.lastname: Kagamimori
authors.affiliation: Kagawa Nutrition University, Sakado, Japan.
authors.forename: Yoshiko
authors.initials: Y
authors.lastname: Kagawa
authors.affiliation: Shuwa General Hospital, Kasukabe, Japan.
authors.forename: Hideo
authors.initials: H
authors.lastname: Yoneshima
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D000368:Aged; D055109:Ankle Brachial Index; D001132:Arm / Q000000981:diagnostic imaging; D001794:Blood Pressure; D050218:Body Fat Distribution; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000378:metabolism*; D008076:Cholesterol, HDL / Q000378:metabolism*; D008078:Cholesterol, LDL / Q000378:metabolism*; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism*; D006801:Humans; D007564:Japan / Q000453:epidemiology; D007866:Leg / Q000000981:diagnostic imaging; D008875:Middle Aged; D009765:Obesity / Q000000981:diagnostic imaging / Q000453:epidemiology / Q000378:metabolism; D056128:Obesity, Abdominal / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000378:metabolism; D063177:Pulse Wave Analysis; D012307:Risk Factors
chemical_list: D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human
keywords: Body fat distribution; densitometry; epidemiology; risk factors