Literature DB >> 3949376

Factor analysis suggesting contrasting determinants for different blood pressure measurements.

L B Jorde, R R Williams, H Kuida.   

Abstract

A multiple regression analysis was performed on statistically independent factors derived from blood pressure measurements and possible predictive variables in 618 Utah adults. Nine blood pressure factors obtained in a previous study composed the dependent variables; 35 anthropometric, questionnaire, and biochemical variables were reduced by factor analysis to 10 factors and used as independent variables. Body size and obesity had significant independent effects on different types of blood pressure: body size correlated most highly with systolic blood pressure, while obesity correlated most highly with sitting diastolic blood pressure measurements. Smoking did not correlate with sitting blood pressure but did show a significant positive correlation (after controlling for obesity) with tilt and supine diastolic pressure. Alcohol consumption correlated positively with sitting diastolic pressure when the effects of body size and obesity were controlled. No correlations were found between urinary potassium or sodium excretion and any blood pressure factors, but a significant positive correlation was seen between plasma sodium concentration and several different types of diastolic blood pressure measurements. Psychological stress showed a significant independent positive correlation with systolic blood pressure measurements that was strongest in adults over 35 years of age. The multiple correlation values for the multiple regression equations ranged from 0.19 to 0.52.

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Year:  1986        PMID: 3949376     DOI: 10.1161/01.hyp.8.3.243

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  2 in total

1.  Epidemiology of resting pulse rate of persons ages 25-74--data from NHANES 1971-74.

Authors:  R F Gillum
Journal:  Public Health Rep       Date:  1992 Mar-Apr       Impact factor: 2.792

2.  Body Size Predicts Cardiac and Vascular Resistance Effects on Men's and Women's Blood Pressure.

Authors:  Joyce M Evans; Siqi Wang; Christopher Greb; Vladimir Kostas; Charles F Knapp; Qingguang Zhang; Eric S Roemmele; Michael B Stenger; David C Randall
Journal:  Front Physiol       Date:  2017-08-09       Impact factor: 4.566

  2 in total

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