obesity-bariatric-surgery-2017-posters-abstracts

5 / 23

Page 49
J Obes Eat Disord, 2017
ISSN: 2471-8203
August 23-24, 2017 | Toronto, Canada
alliedacademies
INTERNATIONAL OBESITY, BARIATRIC AND
METABOLIC SURGERY SUMMIT AND EXPO
This paper modeled the relationship between systolic
blood pressure, and three explanatory variables which are
age, body weight, and blood glucose content using multiple
regression analysis as statistical tool. High blood pressure
is often called a silent killer because at the initial stages,
it exists with no symptoms. It is only after an organ in the
body is irritated or badly damaged, that the consequences
of high blood pressure are realized hence, the impetus for
this research work 200 patients were randomly sampled
from four randomly selected Teaching Hospitals in Nigeria.
The regression model is: SBP = 69.38654 + 0.5867624 * Age
– 0.01646795 * Weight + 0.372442 * Glucose. Coefficient of
determination (R2=0.669) i.e., 60% of the variations in Y were
adequately explained by the explanatory variables. The result
of the analysis further revealed that age and glucose level
contributed significantly on the regression plane. It was also
discovered that jointly, the entire coefficients contributed
significantly on the regression plane. Conclusively, it was
recommended that much intake of sugar in our meals should
be avoided, stressful lifestyle should be jettisoned, and the
habit of periodical checking of our blood pressure should be
cultivated.
e:
Relationship between systolic blood pressure, age, body mass index, and blood glucose content: An
empirical approach
Salako R J and Oshungade S A
Osun State Polytechnic, Nigeria
J Obes Eat Disord, 3:2
DOI: 10.21767/2471-8203-C1-003