The correlation between stress score. Quality and duration of sleep with lipid profile and glycemic status.

INTRODUCTION

Diabetes (DM) is a disease of global concern. Studies have suggested that sleep disturbance is affiliated with insulin resistance and poor lipid. Impaired glucose tolerance precedes the diabetic state and we are aware that the blood glucose levels are deranged in these patients, but not much research is done to comment on the pattern of lipid abnormalities, sleep quality and stress in these patients. Hence our study is aimed to identify abnormal patterns or similarities in the above parameters in pre diabetic and diabetic groups.

MATERIALS &

METHODS

This is a cross - sectional study carried out at the tertiary care hospitals.The data of 45 pre diabetic and diabetic (30 to 70 years) were collected from the files history from Medical Records Department (MRD) after taking permission. The following parameters like glucose and lipid parameters were taken for the study and standard questionnaire was given to correlate the sleep and stress levels. Data analysis were done using SPSS (Statistical Package for Social Sciences) version write the verson number).

RESULTS

In the pre diabetic participants, sleep duration varied with stress levels (p=0.03) and their HDL was positively correlated to HbA1c (p=0.02) In the diabetic participants, TC (total cholesterol) varied with both stress (p=0.02) and sleep quality (p=0.001), LDL,& TC: HDL ratio varied only with sleep quality (p=0.04 ratio quality (p=0.01). Triglyceride levels were significantly higher in the diabetic group (p=0.04), as it is a major component of the triad of diabetic dyslipidemia. No other correlations or variations were significant.

CONCLUSION

Poor sleep, abnormal lipid profiles, and stress may serve as risk factors predicting the onset of prediabetes and poor glycemic control. Confirming a direct relationship between these parameters through cohort or experimental studies could facilitate early detection of diabetes and encourage the adoption of appropriate healthy lifestyle measures.