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Table of Contents
Year : 2018  |  Volume : 22  |  Issue : 1  |  Page : 89-92

Lipid profile in relation to glycemic control in Type 1 diabetes children and adolescents in Bangladesh

1 Department of Paediatrics and CDiC BIRDEM, Dhaka, Bangladesh
2 Department of Paediatrics and CDiC BIRDEM, Dhaka, Bangladesh; Diabetes E Nutrição Do Centro Hospitalar Do Baixo Vouga, Aveiro, Portugal
3 Department of Biochemistry, Gazi Medical College, Khulna, Bangladesh

Date of Web Publication8-Feb-2018

Correspondence Address:
Bedowra Zabeen
Department of Paediatrics and CDiC BIRDEM 2 1/A Shegunbagicha, Dhaka 1000
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijem.IJEM_217_17

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Introduction: Dyslipidemia and hyperglycemia are metabolic abnormalities commonly found in young patients with Type 1 diabetes mellitus (T1DM) and both increase the risk of cardiovascular disease. Methods: This cross-sectional study was aimed to evaluate the pattern of dyslipidemia and its relationship with other risk factors in children and adolescents with T1DM. A total of 576 T1DM patients aged 10–18 years who attended Changing Diabetes in Children, a pediatric diabetes clinic in Bangladesh Institute of Research and Rehabilitation for Diabetes, Endocrine and Metabolic Disorders over 1 year period from July 2015 to June 2016 were included in this study.Results: The overall frequency of dyslipidemia was 65%. The high triglyceride, high cholesterol, high low-density lipoprotein (LDL) and low high-density lipoprotein were found in 50%, 66%, 75%, and 48%, respectively. Compared to patients without dyslipidemia, patients with dyslipidemia had significantly lower mean body mass index (kg/m2) (18.4 [interquartile range; 16.2–21.4] vs. 19.5 [17.3–21.5] (P = 0.005)); significantly higher median fasting blood sugar (12.7 [9.9–15.2] vs. 10.6 [7.9–12.6] (P < 0.0001)) and higher median glycosylated hemoglobin (9.8 [8.4–11.8] vs. 7.9 [9.3–10.5] (P < 0.0001)). Hypertension was significantly higher in dyslipidemic patients (9.4% vs. 2.5% P < 0.002). Conclusion: More than half (65%) of our children and adolescents with T1DM had dyslipidemia, among them high LDL was the most common. These findings emphasize the screening of lipid profile in T1DM children and adolescents.

Keywords: Children and adolescents, dyslipidemia, glycemic control, type 1 diabetes

How to cite this article:
Zabeen B, Balsa AM, Islam N, Parveen M, Nahar J, Azad K. Lipid profile in relation to glycemic control in Type 1 diabetes children and adolescents in Bangladesh. Indian J Endocr Metab 2018;22:89-92

How to cite this URL:
Zabeen B, Balsa AM, Islam N, Parveen M, Nahar J, Azad K. Lipid profile in relation to glycemic control in Type 1 diabetes children and adolescents in Bangladesh. Indian J Endocr Metab [serial online] 2018 [cited 2021 Jul 24];22:89-92. Available from: https://www.ijem.in/text.asp?2018/22/1/89/224986

   Introduction Top

Hyperglycemia and dyslipidemia are metabolic abnormalities commonly found in young patients with type 1 diabetes mellitus (T1DM) and both increase the risk of cardiovascular disease (CVD).[1] In patients with T1DM, atherosclerosis can occur earlier in life, leading to increased morbidity and mortality compared with the general population.[2] Several studies have demonstrated serum lipid abnormalities in children with T1DM as well as an association between elevated glycosylated hemoglobin (HbA1c) and serum lipid levels.[3],[4],[5],[6],[7] Dyslipidemia is a preventable risk factor for CVD. Screening for dyslipidemia should be performed soon after diagnosis when diabetes has stabilized in all children with T1DM aged > 10 year (International Society for Pediatric and Adolescent Diabetes) and if normal results are obtained, this should be repeated every 5 year. If there is a family history of hypercholesterolemia, early CVD or if the family history is unknown, screening should commence as early as 2 year of age.[8]

There is no research on dyslipidemia in T1DM children in Bangladesh so far. Through this study, we hope to compute the prevalence of dyslipidemia and its relation to glycemic control in the study cohort.

   Methods Top

Study design

A total 422 T1DM patients were randomly selected who visited Changing Diabetes in Children outpatient service from January 2015 to January 2016. The patients who had other illnesses, hypothyroidism, or taking any other medication were excluded. Diabetes mellitus was diagnosed according to the WHO, International Society for Pediatric and Adolescent Diabetes (ISPAD) criteria.[8],[9] Pancreatic autoantibodies were not available in our clinic, so patients were classified clinically as T1D with abrupt onset of typical symptoms of diabetes, usually who were nonobese, absence of signs of insulin resistance, severe diabetes with markedly elevated HbA1c, presenting with diabetic ketoacidosis, and requiring insulin from time of onset.

Detailed history was taken from the patients during the visit, and an examination was performed to measure systolic and diastolic blood pressures, height, weight, body mass index (BMI), and waist circumference.

This study was reviewed and approved by the local ethical committee, and all participants provided informed consent and/or assent.

BMI scores were calculated as weight (kg)/height (m2) and expressed in Z scores, according to the standards assessed by the CDC Growth Charts.[10] For waist circumference, measuring tape (±0.5 cm) was placed at the midpoint between the lowest rib and iliac crest, parallel to the ground, after exhalation. Samples (blood glucose, HbA1c, total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglyceride [TG]) were obtained under conditions of metabolic stability after at least 8 h of fasting. The mean value of two HbA1c levels measured within 3 months was used as a surrogate marker for recent glycemic control. HbA1c ≥9% was termed as poor glycemic control according to the ISPAD guideline.[8]

Cut-off points for abnormal lipid levels (TC ≥200 mg/dL, LDL cholesterol ≥130 mg/dL, HDL cholesterol ≤35 mg/dL, and TG ≥150 mg/dL) were taken from the Third Report of the National Cholesterol Education Program[11] and the American Diabetes Association.[12] Dyslipidemia was defined by the presence of one or more abnormal serum lipid concentrations.

All statistical analyses were conducted with the use of PASW Statistics version 22 (SPSS Inc., Chicago, IL, USA). Comparisons across >2 groups were analyzed using ANOVA for normally distributed variables and the Kruskal–Wallis test for skewed data. Chi-squared tests were used to compare categorical data.

   Result Top

Among 422 patients, 198 were male and 224 were female. The age range of the patients was 10 to 18 (median = 15.0 [interquartile range: 13.0–17.0]) years. The frequency of dyslipidemia was 64% and was more in pubertal age group (84%). The median duration of diabetes was 3.0 (2.0–6.0) years. Majority of our patients (74%) had < 5 years duration of diabetes.

The most frequent dyslipidemia found was high TG (50%) [Figure 1]. Comparison between the dyslipidemic and normolipidemic groups, weight standard deviation score was significantly lower (P = 0.005) and waist circumference was also lower in dyslipidemic group (P = 0.057) [Table 1] There was no significant difference between the two groups regarding the family history of diabetes or duration of diabetes.
Figure 1: Different types of dyslipidemia

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Table 1: Characteristics of patients with and without dyslipidemia

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Glycemic control between two groups compared and HbA1c was significantly (P = 0.001) higher in dyslipidemic group. The mean fasting blood glucose was also significantly higher in dyslipidemic group (P < 0.0001). The different types of dyslipidemia were statistically significant while compared between good and poor glycemic control [Table 2].
Table 2: Comparison of different types of dyslipidemia with good and poor glycemic control

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   Discussion Top

In this cohort of 422 youth with diabetes, the prevalence of dyslipidemia was 64%, similar finding was found in a study done in Egypt (65%).[13] The prevalence of dyslipidemia in children with T1DM varies between 29% and 66% in studies from different countries.[5],[13],[14],[15],[16],[17],[18] The wide range of prevalence in various studies may be due to multiple genetic factors in different ethnic groups. The main disorder was hypertriglyceridemia in our study. This finding is in concord with the various studies [19],[20] though the most frequent dyslipidemia was high LDL in various studies.[13],[16],[21]

There was a trend toward higher prevalence of dyslipidemia in female than in males; this finding is similar to other studies.[14],[22],[23] There were no significant differences of diabetes duration between the dyslipidemic group and the normolipidemic group. A total of 63 patients with dyslipidemia had <2 year's diabetes duration. Kanagalakshmi and Sultana and Guy et al. found that dyslipidemia in children and adolescents with TiD was present with short duration of diabetes. This is in not in agreement to the other findings that lipid concentrations correlate positively with the duration of diabetes.[19]

The mean waist circumference was lower in dyslipidemic group than in normolipidemic (65 vs. 69) (P = 0.057) which was nearly significant. The finding is in contrast to other findings.[13],[24],[25]

The majority (65%) in dyslipidemic group had significantly poor glycemic control (HbA1c >9%) in contrast to normolipidemic (P = 0.029). There was positive association between high TG, TC, and low HDL and poor glycemic control. Although high LDL was higher in dyslipidemic group, but it did not reach the statistical significance (P = 0.059). A positive association was found between HbA1c and serum lipid in different studies providing the evidence of positive effect of good glycemic control on serum lipid levels in children and adolescents.[6],[26],[27] Our current findings provide evidence of poor glycemic control as a potential modifiable risk factor for dyslipidemia.

The strengths of this study include the large sample size. Nevertheless, possible confounding variables that could account for the association between poor glycemic control and dyslipidemia were not taken into account. Patients with poor glycemic control and worse treatment compliance may be the ones that also do not undertake preventive measures such as exercise and healthy diet.

   Conclusion Top

Our study was first report of lipid data in Bangladeshi children and adolescents with T1DM. We have shown that there is the high prevalence of dyslipidemia which was associated with poor glycemic control. Longitudinal studies will provide early diagnosis and effective treatment of dyslipidemia which is a potential modifiable risk factor of CVD in children and adolescents with T1DM.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

   References Top

Maahs DM, Wadwa RP, Bishop F, Daniels SR, Rewers M, Klingensmith GJ, et al. Dyslipidemia in youth with diabetes: To treat or not to treat? J Pediatr 2008;153:458-65.  Back to cited text no. 1
Donaghue KC, Wadwa RP, Dimeglio LA, Wong TY, Chiarelli F, Marcovecchio ML, et al. ISPAD clinical practice consensus guidelines 2014. Microvascular and macrovascular complications in children and adolescents. Pediatr Diabetes 2014;15 Suppl 20:257-69.  Back to cited text no. 2
Shamir R, Kassis H, Kaplan M, Naveh T, Shehadeh N. Glycemic control in adolescents with type 1 diabetes mellitus improves lipid serum levels and oxidative stress. Pediatr Diabetes 2008;9:104-9.  Back to cited text no. 3
Bustos P, Radojkovic C, Ulloa N, Muñoz M, Martínez A, Calvo C, et al. Lipoprotein composition in children and adolescents with type 1 diabetes mellitus. J Pediatr Endocrinol Metab 2005;18:257-64.  Back to cited text no. 4
Azad K, Parkin JM, Court S, Laker MF, Alberti KG. Circulating lipids and glycaemic control in insulin dependent diabetic children. Arch Dis Child 1994;71:108-13.  Back to cited text no. 5
Ladeia AM, Adan L, Couto-Silva AC, Hiltner A, Guimarães AC. Lipid profile correlates with glycemic control in young patients with type 1 diabetes mellitus. Prev Cardiol 2006;9:82-8.  Back to cited text no. 6
Gunczler P, Lanes R, Soros A, Verdu L, Ramon Y, Guevara B, et al. Coronary artery calcification, serum lipids, lipoproteins, and peripheral inflammatory markers in adolescents and young adults with type 1 diabetes. J Pediatr 2006;149:320-3.  Back to cited text no. 7
Topouchian J, Agnoletti D, Blacher J, Youssef A, Chahine MN, Ibanez I, et al. Validation of four devices: Omron M6 comfort, omron HEM-7420, withings BP-800, and polygreen KP-7670 for home blood pressure measurement according to the European society of hypertension international protocol. Vasc Health Risk Manag 2014;10:33-44.  Back to cited text no. 8
Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 1999;20 Supp1 1:S5.  Back to cited text no. 9
World Health Organization. Growth Reference 5-19 Years; 2016. Available from: http://www.who.int/growthref/who2007_bmi_for_age/en/. [Last accessed on 2016 Jul 03].  Back to cited text no. 10
Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult treatment panel III). JAMA 2001;285:2486-97.  Back to cited text no. 11
American Diabetes Association. Management of dyslipidemia in children and adolescents with diabetes. Diabetes Care 2003;26:2194-7.  Back to cited text no. 12
Homma TK, Endo CM, Saruhashi T, Mori AP, Noronha RM, Monte O, et al. Dyslipidemia in young patients with type 1 diabetes mellitus. Arch Endocrinol Metab 2015;59:215-9.  Back to cited text no. 13
Schwab KO, Doerfer J, Hecker W, Grulich-Henn J, Wiemann D, Kordonouri O, et al. Spectrum and prevalence of atherogenic risk factors in 27,358 children, adolescents, and young adults with type 1 diabetes: Cross-sectional data from the German diabetes documentation and quality management system (DPV). Diabetes Care 2006;29:218-25.  Back to cited text no. 14
Kim SH, Jung IA, Jeon YJ, Cho WK, Cho KS, Park SH, et al. Serum lipid profiles and glycemic control in adolescents and young adults with type 1 diabetes mellitus. Ann Pediatr Endocrinol Metab 2014;19:191-6.  Back to cited text no. 15
Rahma S, Rashid JA, Farage AH. The significance of lipid abnormalities in children with insulin dependent diabetes mellitus. Iraqi Postgrad Med J 2006;5:289-94.  Back to cited text no. 16
Wiltshire EJ, Hirte C, Couper JJ. Dietary fats do not contribute to hyperlipidemia in children and adolescents with type 1 diabetes. Diabetes Care 2003;26:1356-61.  Back to cited text no. 17
Patiakas S, Kiriakopoulos N, Gavala C, Aggos I, Akritopoulou K, Akritopoulos P, et al. The lipid profile of patients with diabetes mellitus in Paionia country. Diabetol Stoffwechs 2007;2:A35.  Back to cited text no. 18
Moayeri H, Oloomi Z. Prevalence of dyslipidemia in children and adolescents with diabetes mellitus type I. Iran J Pediatr 2006;16:171-6.  Back to cited text no. 19
Alrabaty AA, Alnakshabandi AA, Yahya NB. The lipid profile in children with type 1 diabetes mellitus in Erbil governorate. Iraqi Postgrad Med J 2009;8:344-9.  Back to cited text no. 20
al-Naama LM, Kadhim M, al-Aboud MS. Lipid profile in children with insulin dependent diabetes mellitus. J Pak Med Assoc 2002;52:29-34.  Back to cited text no. 21
Krantz JS, Mack WJ, Hodis HN, Liu CR, Liu CH, Kaufman FR, et al. Early onset of subclinical atherosclerosis in young persons with type 1 diabetes. J Pediatr 2004;145:452-7.  Back to cited text no. 22
Marcovecchio ML, Dalton RN, Prevost AT, Acerini CL, Barrett TG, Cooper JD, et al. Prevalence of abnormal lipid profiles and the relationship with the development of microalbuminuria in adolescents with type 1 diabetes. Diabetes Care 2009;32:658-63.  Back to cited text no. 23
Kanagalakshmi M, Sultana A. Preliminary study of lipid profiles in pediatric population and youth population with type 1 diabetes. Int J Pharm Biol Sci 2012;3:28-32.  Back to cited text no. 24
Guy J, Ogden L, Wadwa RP, Hamman RF, Mayer-Davis EJ, Liese AD, et al. Lipid and lipoprotein profi les in youth with and without type 1 diabetes: The SEARCH for diabetes in youth case-control study. Diabetes Care 2009;32:416-20.  Back to cited text no. 25
Teles SA, Fornés NS. Relationship between anthropometric and biochemical profi les in children and adolescents with type 1 diabetes. Rev Paul Pediatr 2012;30:65-71.  Back to cited text no. 26
al Muhtaseb N, al Yousuf A, Bajaj JS. Apolipoprotein A-I, A-II, B, C-II, and C-III in children with insulin-dependent diabetes mellitus. Pediatrics 1992;89:936-41.  Back to cited text no. 27


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