World Congress on Immunology & Microbiology
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Accepted Abstracts

Relationship between age, random blood sugar, BMI and WHCR and how it is affected by gender and medicine

Paritosh Roy*
Meha Diabetes Foundation, India

Citation: Roy P (2019) Relationship between age, random blood sugar, BMI and WHCR and how it is affected by gender and medicine. SciTech Immuno-Microbiology 2019. Dubai: UAE

Received: February 07, 2019         Accepted: February 09, 2019         Published: February 09, 2019


It is accepted by all and recommended by WHO that early diagnosis and treatment are considered as secondary level of prevention. This is applicable to all types of diseases both communicable and non-communicable. Diabetes shares a major role among non-communicable diseases. Medical science formulates different anthropometric measurements which effort to assess risk and complications of this disorder. These include height, weight, body mass index(BMI), waist hip circumference ratio(WHCR), waist height ratio, fasting, post prandial, random blood glucose, glycosylated haemoglobin, life style etc
In our study we have selected BMI, WHCR and random blood glucose as basic measurements to assess risk, response and complication of diabetes. We are trying to explore whether any relationship exists among age, gender, random blood glucose, BMI and WHCR in non-diabetic, diabetes with or without medication and whether any influence by gender and medication- either oral hypo-glycaemic agent/s or insulin.
Our study was conducted at primary care level where we initially selected 202 patients. Finally, number came to 182 after discarding few for not willing to participate, under age (</=10 years) and anomalous record.
Our study has shown: Age affects all, Age has correlated linear relationship with BMI, WHCR, Blood glucose level is neither directly influenced by BMI nor WHCR, Individuals at lower rung of blood glucose are not influenced by any measurement, Linear relationship is lost between age and blood glucose when patients are on medication for diabetes.
Further study in larger population is required for confirmation of our findings.