Relationship Between Glucose & Blood Pressure

Background & Aim:
The author has been subjected to three chronic diseases since 1997. He has maintained a disciplined lifestyle program since 2012 and collected 1.5M health and lifestyle data. This paper discusses specifically the relationship between glucose and blood pressure.

Material & Method:
He has defined two simple equations:
(1) Daily average glucose mg/dL
= (1 FPG+3 PPG)/4
(2) Daily average blood pressure (M3: Metabolism Index 3)
= 1.0+((SBP-120)/120+(DBP-80)/80)/2

Extreme values of SBP and DBP can be found on a daily blood pressure chart. A 90-days moving average for both glucose and blood pressure can identify the correlation between two signals. A spatial analysis (without time) is used to figure out a “quasi-linear” equation between them. In this paper, 13,320 data from 1,480 days (2/8/2014 – 2/27/2018) were used for analysis.

Results:
He had many SBP and DBP spikes in 2014 due to two connected stressful periods caused by family members’ illnesses. After 2015, his BP (M3) has been stabilized into a healthy state. A high correlation of 79% existed between SBP and DBP with an average of 41 mmHG gap in between. The time series analysis of 90-days moving average of glucose vs. BP (M3) shows a strong correlation of 66%. This correlation is further validated with a spatial analysis which shows 78% and 99% of the total collected data covered by a +/- 10% and +/- 20% variance band of BP (M3) respectively. This “relationship band” stretched from point A (90, 0.8) to point B (190, 1.06) on a map with coordinates of x=glucose, and y=BP, M3.

Conclusion:
Using big data analytics on an overweight patient, results show a strong relationship existing between glucose and blood pressure.

Figure 1: Glucose & BP Results