My Blood Glucose Level Data for Detecting and Monitoring Type 2 Diabetes in Adult People

Abstract

The data note shares the blood sugar level data stored in a depository and makes it findable, accessible, interoperable, and reusable to researchers who are interested in modelling Type 2 diabetes data. The researcher collected quantitative data at 8am for the selected 45 days using an SD Code free Blood Sugar Meter from 23 October 2020 to 20 May 2022, a total of 574 days. The blood sugar levels were measured in millimoles of sugar per litre (mmol/L). The research also analysed the 5 data points that were recorded during the diagnosis of Type 2 diabetes on 28 September 2018 at Mutare Health Gate pharmacy in Zimbabwe. The benchmarks used were 5.0 – 7.2 mmol/L before meals, less than 10 mmol/L after 1 – 2 hours of meals, and 5.0 – 8.3 at bedtime. The findings from the data show that the designed data analysis template detected the absence of Type 2 diabetes in the researcher’s blood. The average and the standard deviation of the blood sugar level data are5.964 mmol/L and 0.5335 mmol/L respectively. The maximum and minimum data points are 4.6 mmol/L and 7.0 mmol/L respectively. One lesson from the findings is that Type 2 diabetes can be managed to complete remission if the patient is assisted by health specialists such as pharmacists, family doctors, diabetologists, and dieticians. The findings from the blood sugar level data led to the suggestion of tips and hints on how to manage Type 2 diabetes in adults.