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DOI 10.1016/j.dsx.2018.10.015

Медицинская библиотека · Diabetes & metabolic syndrome · 2018

Relationship among obesity, blood lipids and insulin resistance in Bangladeshi adults.

Malik Syeda Umme Fahmida, Mahmud Zabed, Alam Jahangir, Islam Mohammad Shahidul, Azad Abul Kalam

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Аннотация

INTRODUCTION

Insulin resistance (IR) and abnormal lipid profiles are the risk factors for cardiovascular diseases in obesity. To clarify the relationship of the changes in insulin resistance, body weight and lipid profile, the present study was performed on Bangladeshi adults, total of 1500 individuals at the time of their general health examination in the hospital.

METHODS

After exclusion of other endocrine diseases, the remaining 772 patients were classified as IR ≥ 2 and IR < 2 based on the homeostatic model assessment-estimated insulin resistance (HOMA-IR) index. The endocrine disease free subjects were further clustered based on age, gender and obesity. The anthropometric and biochemical profiles were statistically analyzed and correlated with IR ≥ 2 and IR<2 groups as well as other clusters of the subjects. Apart from some disparities, notable differences were observed in all anthropometric data.

RESULTS

Total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL) and serum insulin levels were significantly higher in IR ≥ 2 group in comparison with IR<2 group. Obesity and dyslipidemia were associated as prevalent components of IR. Generalized linear model revealed that TC: LDL and TG: HDL had significant effect on IR. Age group II (41-60 years old) subjects had significantly higher lipid profile compared to age group I (20-40 years old) and age group III (61-80 years old).

CONCLUSIONS

Results reported herein support the notion that lipoprotein ratios might be the reliable biomarkers to evaluate IR.

Для цитирования: Malik Syeda Umme Fahmida, Mahmud Zabed, Alam Jahangir, Islam Mohammad Shahidul, Azad Abul Kalam. Relationship among obesity, blood lipids and insulin resistance in Bangladeshi adults.. Diabetes & metabolic syndrome. 2018. DOI: 10.1016/j.dsx.2018.10.015.

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