Correlation of Glycated Hemoglobin and Fating Lipid Profile Among Type 2 Diabetes Patients
DOI:
https://doi.org/10.59058/tg1d6a24Keywords:
Type 2 diabetes mellitus, fasting lipid profile, glycated hemoglobinAbstract
Background and Objectives: Patients with T2DM are at an increased risk of developing dyslipidemia,
which is associated with cardiovascular diseases. This study aimed to assess the relationship between HbA1c
levels and the fasting lipid profile in individuals with T2DM within our community.
Methods: This cross-sectional study was performed from November 2024 to April 2025 at Farooq Hospital,
Lahore. One hundred sixty T2DM patients were included, whereas people without T2DM were excluded.
The sample was collected in EDTA and clotted vaccutainers separately for analysis of HbA1c and fasting
lipid profile. The data was evaluated using IBM SPSS version 27.0 software. The Chi-square test and Pearson
correlation were applied to determine the relationship between variables.
Results: Of the 160 T2DM patients, 48.75% were male and 51.25% were female. The average age was 54.16
± 12.978. Out of the total, 25% T2DM patients exhibited adequate glycemic control, whereas 75% T2DM
patients did not achieve adequate glycemic control. The average HBA1c, cholesterol, TG, HDL, and LDL
levels were 8.159 ± 2.064, 195.83 ± 67.32, 195.63 ± 226.51, 44.5 ± 15.57, and 110.04 ± 40.72, respectively.
Cholesterol, TG, and HDL had a positive correlation with HbA1c; however LDL showed a negative
correlation.
Conclusion: The elevated HBA1c is a good predicator of dyslipidemia so the patients must to be instructed to
consistently monitor and regulate fasting lipid profile and HBA1c levels.
References
1. Waheed A, Khan AF, Akhtar R, Khan AF, Haroon N,
Yousaf Z. Frequency of Anemia in Type-I & type-II
diabetes Mellitus Patients of Akhtar Saeed Trust
Hospital. 2024.
2. Committee ADAPP, Committee: ADAPP. 2.
Classification and diagnosis of diabetes: standards
of medical care in diabetes—2022. Diabetes care.
2022;45(Supplement_1):S17-S38.
3. Thipsawat S. Early detection of diabetic
nephropathy in patient with type 2 diabetes mellitus:
A review of the literature. Diabetes and Vascular
Disease Research. 2021;18(6):147916412-
11058856.
4. Chandrasekaran P, Weiskirchen R. The role of
obesity in type 2 diabetes mellitus—An overview.
International journal of molecular sciences.
2024;25(3):1882.
5. Khan M, Hashim M, King J, Govender R, Mustafa
H. Al kaabi J 2020 Epidemiology of type 2
diabetes–global burden of disease and forecasted
trends. Journal of epidemiology and global
health.10:107.
6. Naqvi S, Naveed S, Ali Z, Ahmad SM, Khan RA,
Raj H, et al. Correlation between glycated
hemoglobin and triglyceride level in type 2 diabetes
mellitus. Cureus. 2017;9(6).
7. Sharahili AY, Mir SA, ALDosari S, Manzar MD,
Alshehri B, Al Othaim A, et al. Correlation of
HbA1c level with lipid profile in type 2 diabetes
mellitus patients visiting a primary healthcare center
in Jeddah City, Saudi Arabia: a retrospective crosssectional study. Diseases. 2023;11(4):154.
8. Djalalinia S, Khosravi S, Yoosefi M, Salahi S,
Varniab ZS, Golestani A, et al. Evaluation of the
hypercholesterolemia care cascade and compliance
with NCEP-ATP III guidelines in Iran based on the
WHO STEPS survey. Lipids in Health and Disease.
2025;24(1):99.
9. Kidwai SS, Nageen A, Bashir F, Ara J. HbA1c–A
predictor of dyslipidemia in type 2 Diabetes
Mellitus. Pakistan Journal of Medical Sciences.
2020;36(6):1339.
10. Momin AA, Bankar MP, Bhoite GM. Glycosylated
hemoglobin (HbA1C): association with
dyslipidemia and predictor of cardiovascular
diseases in type 2 diabetes mellitus patients. Int J
Health Sci Res. 2013;3(8):40-6.
11. Al Ghadeer HA, Al Barqi M, Almaqhawi A, Alsultan
AS, Alghafli JA, AlOmaish MA, et al. Prevalence of
dyslipidemia in patients with type 2 diabetes
mellitus: a cross-sectional study. Cureus.
2021;13(12).
12. Gharib AF, Saber T, El Askary A, Alharthi A,
Alsalmi NA, Alhashmi ST, et al. Relation of hypoxia
inducible factor, dyslipidemia and CAD Saudi
patients with type 2 diabetes. in vivo.
2022;36(5):2481-9.
13. Hussain A, Ali I, Ijaz M, Rahim A. Correlation
between hemoglobin A1c and serum lipid profile in
Afghani patients with type 2 diabetes: hemoglobin
A1c prognosticates dyslipidemia. Therapeutic
advances in endocrinology and metabolism.
2017;8(4):51-7.
14. Rehman HU. Co-Relation Between Glycated
Hemoglobin (HbA1c) and Dyslipidemia in Type II
Diabetics Presenting in a Tertiary Care Hospital in
Pakistan. J Pak Soc Intern Med. 2021;2(3):236-40.
15. Shaik MA, Rafi MA, Raoof AA, Ansari A, Samreen
K. Correlation Between Hemoglobin A1c and
Serum Lipid Profile in Afghani Patients with Type 2
Diabetes: Hemoglobin A1c Prognosticates
Dyslipidemia. European Journal of Molecular and
Clinical Medicine. 2022;9(3):2399-406.
16. Yahya S, Kashif H, Qadri MMA. 5. A comparative
study of lipid profile among controlled and
uncontrolled type 2 diabetic patients in Lahore,
Punjab, Pakistan. Pure and Applied Biology (PAB).
2023;12(1):40-7.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Omar Shahid, Rizwan Akhtar, Masooma Jaffer, Rabia Sadaf, Zainab Yousaf, Faiz Rafiq (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- Non-Commercial — You may not use the material for commercial purposes .
- No-Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
