@article{Baskota_Shrestha_Tiwari_Poudyel_Pandey_Joshi_2022, title={Study of the Relationship of Lipid Profile, BMI and Blood Pressure among Non-diabetic Hypertensive Patients - A Hospital Based Study }, volume={20}, url={https://nepjol.info/index.php/JNGMC/article/view/51909}, DOI={10.3126/jngmc.v20i2.51909}, abstractNote={<p><strong>Introduction: </strong>Several research have demonstrated the connection between lipid levels, diabetes mellitus (DM), and hypertension, but none have focused specifically on the association between lipid levels and essential hypertension in Nepal’s non-diabetic population.</p> <p><strong>Aims:</strong> To study the relationship between lipid profile, body mass index (BMI), and blood pressure (BP) in the nondiabetic hypertensive population.</p> <p><strong>Methods:</strong> A hospital-based cross-sectional study was conducted among 150 participants. Anthropometric measurements including height, weight and BP were taken. Blood was collected in serum vial for lipid profile [total cholesterol (TC), triglyceride (TG) and low and high density lipoprotein cholesterol (LDLC and HDLC)] after an overnight fasting.</p> <p><strong>Results:</strong> 44.7% were female, and 55.3% were male with the age ranging between 28-80 years. Among 48.67% of the overweight participants, 56.8% were male. 25.33% were obese, among which 52.6% were male. 56% of participants had systolic blood pressure (SBP) ≥140 mmHg and 58% had diastolic blood pressure (DBP) ≥90 mmHg and showed no significance among the gender. Borderline TG level was observed in 76.2% of participants with SBP ≥140 mmHg and in 74.7% with DBP ≥90 mmHg. HDLC vs gender showed significance. SBP and DBP had a significant relationship with LDLC and TC. The association of BMI with BP and lipid profile was not significant.</p> <p><strong>Conclusion</strong>: Dyslipidemia is prevalent among non-diabetic hypertensive individuals. The majority of participants were overweight, however blood pressure and lipid profile did not correlate with BMI presumably because other anthropometric characteristics have better predictive values than BMI.</p>}, number={2}, journal={Journal of Nepalgunj Medical College}, author={Baskota, Dristi and Shrestha, Bishow Raj and Tiwari, Saurabh and Poudyel, Pragati and Pandey, Rachana and Joshi, Richa Bhattarai}, year={2022}, month={Dec.}, pages={49–53} }