title: Body fat and its distribution in relation to casual and ambulatory blood pressure.
abstract: This study was undertaken to evaluate the associations of body fat and its distribution with casual and ambulatory blood pressure in nonobese men. One hundred and thirty-five normotensive or mildly hypertensive (but untreated) men employed at three work sites were studied. Casual blood pressure was measured at the work site at initial screening and on a second occasion by a nurse. Ambulatory blood pressure was measured noninvasively for 24 hours on a workday and analyzed as work, home, and sleep blood pressure measurements. Anthropometric measurements included height, weight, and waist and hip circumferences. Blood pressure was highest while at work; home blood pressure was higher than screening blood pressure or nurse blood pressure, and sleep blood pressure was lowest. Weight and both waist and hip circumferences (but not their ratio) were all significantly correlated with screening, nurse, and sleep blood pressures but not with work or home blood pressures. Stepwise regression analysis showed that waist circumference was the best overall predictor of blood pressure. We suggest that in situations where blood pressure is the dependent variable, correlations with other variables may be closest for "basal" measures of blood pressure and may be obscured by the effects of daily activities on blood pressure.
authors.affiliation: Department of Medicine, New York Hospital-Cornell University Medical College, NY 10021.
authors.forename: L M
authors.initials: LM
authors.lastname: Gerber
authors.forename: P L
authors.initials: PL
authors.lastname: Schnall
authors.forename: T G
authors.initials: TG
authors.lastname: Pickering
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology / Q000502:physiology*; D000328:Adult; D000375:Aging / Q000502:physiology; D000886:Anthropometry; D001794:Blood Pressure; D001795:Blood Pressure Determination / Q000379:methods*; D001835:Body Weight; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis