Racial contrasts of blood pressure levels in two southern, rural communities. 1985

L S Webber, and G S Berenson

Blood pressure and anthropometric measurements were obtained according to a standardized protocol in two biracial, rural, southern communities. Essentially, the same examination team and protocol were used in Franklinton and Bogalusa. No differences between the communities in mean height or weight (except for white boys) were observed. Blood pressure levels were 2-5 mm Hg higher in Franklinton, particularly in blacks ages 8-13 years. These differences could not be explained by differences in anthropometric measurements or observers. The difference may be due partly to the fact that larger numbers of students each morning were examined in Franklinton than Bogalusa in perhaps a more hurried environment. Most of the staff members, being from Bogalusa, were not familiar to the children in Franklinton (as they are in Bogalusa), and this may have created anxiety. The differences were small, however, when compared with differences observed among several populations using varying methods. Confirmation is given to the finding that height and weight, not age, are the strongest determinants of blood pressure level in growing children, giving a further clue toward development of an appropriate definition of hypertension in children.

UI MeSH Term Description Entries
D008145 Louisiana State bounded by Arkansas on the north, by Mississippi on the east, the Gulf of Mexico on the south and Texas on the west.
D008297 Male Males
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
D001794 Blood Pressure PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS. Systolic Pressure,Diastolic Pressure,Pulse Pressure,Pressure, Blood,Pressure, Diastolic,Pressure, Pulse,Pressure, Systolic,Pressures, Systolic
D001827 Body Height The distance from the sole to the crown of the head with body standing on a flat surface and fully extended. Body Heights,Height, Body,Heights, Body
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D002318 Cardiovascular Diseases Pathological conditions involving the CARDIOVASCULAR SYSTEM including the HEART; the BLOOD VESSELS; or the PERICARDIUM. Adverse Cardiac Event,Cardiac Events,Major Adverse Cardiac Events,Adverse Cardiac Events,Cardiac Event,Cardiac Event, Adverse,Cardiac Events, Adverse,Cardiovascular Disease,Disease, Cardiovascular,Event, Cardiac
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females

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