Biomaterial Database

Relationships between age, sex, anthropometry and bioelectrical impedance. 1992

T J Wu

Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan, R.O.C.

To establish the relationships between age, sex, anthropometric measurements and bioelectrical impedance, 446 healthy subjects (242 men and 204 women), aged 17 to 88 years, were enrolled in our study. Anthropometric parameters included body weight, height, body mass index (BMI), skinfold thickness of the triceps (TSF), and arm muscle circumference (AMC). Using the BIA-106, RJL System, the bioelectrical resistance, bioelectrical reactance and phase angle were measured. Correlation analysis revealed a significant correlation between gender, anthropometry and bioelectrical resistance. A significant correlation between age, anthropometry and reactance was also noted. Both male and female subjects in the fourth quartile of the age distribution showed significantly lower reactance and phase angle. The quartile study of the body mass index revealed corresponding changes in weight, BMI, TSF, AMC and resistance in quartiles, but not reactance. In conclusion, in addition to anthropometry, gender has an effect on bioelectrical resistance, and age has an effect on reactance.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001823	Body Composition	The relative amounts of various components in the body, such as percentage of body fat.	Body Compositions,Composition, Body,Compositions, Body
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293	Adolescent	A person 13 to 18 years of age.	Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults
D000367	Age Factors	Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.	Age Reporting,Age Factor,Factor, Age,Factors, Age
D000368	Aged	A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available.	Elderly