Predicting Increased Blood Pressure Using Machine Learning

Table 1

Descriptive statistics for SBP, BMI, WC, HC, and WHR; prevalence of obesity for woman and man; test of normality and correlations.

Woman

Man

Normality test

Spearman’s correlation

Mean

SD

Median

𝑁 (%)

Mean

SD

Median

𝑁 (%)

Shapiro-Wilk’s W

SBP

BMI

WC

HC

WHR

SBP

118.66

15.91

117.00

132.35

14.44

130.00

0.96***

1

0.33*

0.35*

0.25*

0.31*

BMI

22.76

4.08

22.00

225; (56.3%)

24.46

4.34

24.00

175; (43.8%)

0.93***

0.33*

1

0.80*

0.81*

0.46*

WC

76.95

9.47

76.00

86.06

11.47

84.00

0.95***

0.35*

0.80*

1

0.73*

0.77*

HC

100.71

8.79

100.00

102.93

8.93

103.00

0.98**

0.25*

0.81*

0.73*

1

0.20*

WHR

0.76

0.07

0.76

0.83

0.07

0.83

0.94***

0.31*

0.46*

0.77*

0.20*

1

SBP > 120; mmHg

No

130; (58%)

SBP > 140 mmHg

128; (73%)

Yes

95; (42%)

47; (39%)

∗Significant at the 0.01 level.
∗∗Significant at the 0.05 level.
∗∗∗Significant at the 0.001 level.
SBP: systolic blood pressure, BMI: body mass index, WC: waist circumference, HC: hip circumference, WHR: waist-hip ratio. Notice that the endpoint for women is SBP greater than 120 mmHg (prehypertension), while for men is SBP greater than 140 mmHg (hypertension).