Study of the Correlation between Total Lipid Profile and Glycosylated Hemoglobin Among the Indigenous Population of  Guwahati

Kundu, Debanjan; Saikia, M; Paul, Tulika

doi:10.21276/ijlssr.2017.3.4.13

Cited by 12 publications

(9 citation statements)

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“…Similar result reported in some studies, but there are studies inconsistent with the result which stated significant correlation between HbA1c and LDL. 11,13,[16][17][18] In the present study, T2DM patients in the group HbA1c ≥7% had significantly higher values of FBS, HbA1c, TG, TG/HDL levels compared to DM2 patients in DM2 HbA1c <7% group. These parameters showed a highly significant positive correlation in poor glycemic group with p≤0.00001.…”

Section: Discussionsupporting

confidence: 47%

Blood pressure, lipid profile and glycemic control among type-2 diabetic patients in North Kerala

et al. 2021

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Background: Glycemic control, lipid control and other modifiable risk factor, is very important to prevent complications of type 2 diabetes. The objective of this study was to analyze glycemic control, lipid profile, BP and find the correlation of these parameters in the diabetic population of North Kerala.Methods: This was a cross sectional study among the type 2 diabetic patients with 40-60 years of age, and those without any cardiac, renal, liver, and thyroid dysfunction. Fasting blood sugar, BP, HbA1c and lipid profile were assessed by VITROS 5600 integrated system. The study population was grouped in to two based on their glycemic control (HbA1c ≥7% and HbA1c <7%). Statistical analysis was performed by SPSS software. The comparison of variables age, BP, FBS, HbA1c, total cholesterol, LDL, HDL, TG, and TG/HDL was tested using independent student t test. The correlations between the variables were analyzed using Pearson correlation coefficient. P values less than 0.05 were considered significant.Results: There was a significant positive correlation between DBP and poor glycemic control group (t=2.35, p=0.0102). Fasting blood sugar (p≤0.00001), total cholesterol (p=0.0031), triglycerides (p≤0.00001), LDL (p=0.0051), HDL (p=0.0010) and TG/HDL (p≤0.00001) also were significantly higher in this group. Age or gender showed no correlation with HbA1c and BP.Conclusions: This study shows highly significant positive correlation between TG/HDL and poor glycemic control. It appears the degree of hypertension is not correlated with HbA1c, but significantly correlated with lipid profile especially among those with poor glycemic control.

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Section: Discussionsupporting

confidence: 47%

Blood pressure, lipid profile and glycemic control among type-2 diabetic patients in North Kerala

et al. 2021

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“…No previous study has classified prediabetic patients into homogeneous states based on lipid profile means over time using LMM. However, there are many related studies that have examined the general population, as well as some specific populations, by applying simple statistical methods [ 8 , 9 , 24 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

Patterns of changes in serum lipid profiles in prediabetic subjects: results from a 16-year prospective cohort study among first-degree relatives of type 2 diabetic patients

et al. 2020

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Background Lipid abnormality pervasively is associated with the risk of type 2 diabetes mellitus. To the best of our knowledge, there is no study that has examined the longitudinal changes in a wide range of serum lipid profiles in prediabetic subjects in association with the risk of developing type 2 diabetes mellitus in the future. This study aimed to identify the patterns of changes in lipid profiles over time in prediabetic patients and to classify these subjects in order to highlight which patients are at high risk for future diabetes. Methods This prospective 16-year (2003–2019) cohort study was conducted among 1228 prediabetic subjects. The study subjects were followed, and the changes in their lipid profiles, including triglycerides, cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol, were evaluated. The latent Markov model was used for data analysis. Results The mean (standard deviation) age of subjects was 44.0 (6.8) years, and 73.6% of them were female. The latent Markov model identified two latent states of subjects in terms of changes in lipid profiles: a low tendency to progress diabetes / high tendency to progress diabetes (74, 26%). The latent Markov model showed that the transition probability from a “low tendency to progress diabetic” state to a “high tendency to progress diabetic” state was lower than the transition probability from “high tendency to progress diabetic” state to “low tendency to progress diabetic” state. Conclusions The present study showed that more than half of the first-degree relatives of T2DM had approximately normal lipid profiles and that these patients are more inclined to transition from a higher- to a lower-tendency diabetic state. These findings confirm the value of regular screening of first-degree relatives of T2DM. Moreover, preventive intervention strategies are recommended to reduce their risk of developing T2DM.

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“…We did not nd any study such as current one, which classi ed prediabetic patients into homogeneous states based on lipid pro le mean over time using LMM. However, there are many studies in this regard among general population, and some speci c population with applying simple statistical methods (9,10,28,29).…”

Section: Discussionmentioning

confidence: 99%

Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

Safari

Amini

Aminorroaya

et al. 2020

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Background Lipids abnormality pervasively is associated with the risk of Type 2 diabetes mellitus. To the best of our knowledge, there is no study that examined the longitudinal changes in wide range of serum lipid profile in prediabetic subjects in association with the risk of Type 2 diabetes mellitus in future. This study aimed to identify the patterns of changes in lipids profile over time in prediabetic patients and classify these subjects in order to highlight the high risk people for future diabetes risk. Methods This prospective 16-year (2003–2019) cohort study was conducted among 1228 prediabetic subjects. The study subjects followed over time and changes in their lipid profile include Triglycerides, Cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol was evaluated. Latent Markov model was used for data analysis. Results Mean (standard deviation) age of subjects was 44.00 (6.86) years and 73.6% were female. Latent Markov model identified two latent states of subjects in terms of change in lipid profile: low tendency to progress diabetes/ high tendency to progress diabetes (74%/ 26%). Latent Markov model showed that the transition probability from “low tendency to progress diabetic” state to “high tendency to progress diabetic” state was lower than the transition probability from “high tendency to progress diabetic” state to “low tendency to progress diabetic” state. Conclusion In conclusion, abnormality of serum lipid profile remains a significant and growing problem in prediabetic subjects as high risk population. The reduction in the problem burden will require changes at the policy level as well as at the personal level.

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Study of the Correlation between Total Lipid Profile and Glycosylated Hemoglobin Among the Indigenous Population of Guwahati

Cited by 12 publications

References 0 publications

Blood pressure, lipid profile and glycemic control among type-2 diabetic patients in North Kerala

Blood pressure, lipid profile and glycemic control among type-2 diabetic patients in North Kerala

Patterns of changes in serum lipid profiles in prediabetic subjects: results from a 16-year prospective cohort study among first-degree relatives of type 2 diabetic patients

Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

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