Contents
Download PDF
67 Views
43 Downloads
Share this article
Research Article | Volume 1 Issue 2 (July-Dec, 2019) | Pages 1 - 4
Prediabetes, Diabetes, and Insulin Resistance Among Adolescents with Polycystic Ovary Syndrome: A Clinical Insight
 ,
1
Associate Professor, Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh
2
Associate Professor, Department of Biochemistry, Medical College for Women and Hospital, Uttara, Dhaka-1000, Bangladesh
Under a Creative Commons license
Open Access
Received
Nov. 2, 2019
Revised
Nov. 13, 2019
Accepted
Nov. 26, 2019
Published
Dec. 7, 2019
Abstract

Background: Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder among adolescent females and is closely associated with insulin resistance (IR), which contributes to an increased risk of prediabetes and type 2 diabetes mellitus (T2DM). The early identification of metabolic abnormalities in adolescents with PCOS is crucial for preventing long-term complications.

Objective: This study aims to determine the prevalence of prediabetes, diabetes, and insulin resistance among adolescents with PCOS and to analyze associated risk factors in a large cohort from diverse geographical and socioeconomic backgrounds.

Methods: A cross-sectional observational study was conducted across multiple tertiary hospitals and clinics in Bangladesh between January 2017 and March 2018. A total of 4,138 adolescent females aged 13 to 19 years with a diagnosis of PCOS based on the Rotterdam criteria were enrolled. Fasting glucose, oral glucose tolerance test (OGTT), fasting insulin, and HOMA-IR were assessed. Prediabetes and diabetes were defined according to ADA 2023 guidelines.

Results: Among the 4,138 participants, 32.4% had insulin resistance, 18.7% had prediabetes, and 7.9% were diagnosed with diabetes. Higher BMI, family history of diabetes, and sedentary lifestyle were significantly associated with metabolic abnormalities (p<0.001). Mean HOMA-IR was 3.6 ± 1.2 in the insulin-resistant group.

Conclusion: A significant proportion of adolescents with PCOS exhibit insulin resistance and glucose metabolism disorders. These findings underscore the importance of early metabolic screening and lifestyle interventions in PCOS management. Addressing these issues during adolescence can reduce the burden of T2DM and associated comorbidities in adulthood.

INTRODUCTION

Polycystic Ovary Syndrome (PCOS) is one of the most common endocrine disorders in females of reproductive age and is increasingly being diagnosed in adolescence. Characterized by hyperandrogenism, oligo-anovulation, and polycystic ovarian morphology, PCOS has far-reaching metabolic implications beyond reproductive dysfunction. One of the most significant metabolic disturbances associated with PCOS is insulin resistance (IR), a condition in which the body’s response to insulin is diminished, resulting in compensatory hyperinsulinemia [1,2].

The interplay between IR and PCOS creates a vicious cycle, with insulin acting as a co-gonadotropin to stimulate ovarian androgen production, thereby exacerbating hyperandrogenism and anovulation. Importantly, IR is a precursor to glucose intolerance, prediabetes, and eventually type 2 diabetes mellitus (T2DM), making adolescents with PCOS a high-risk population for early metabolic syndrome.

Several studies have highlighted that insulin resistance is present in up to 70% of women with PCOS, depending on diagnostic criteria and population studied. However, the metabolic profile of adolescents with PCOS, particularly in South Asian contexts such as Bangladesh, is less well-characterized. Given the region’s high background prevalence of diabetes and the socio-cultural barriers to early diagnosis, understanding these patterns is essential for timely intervention [3,4,5].

Adolescence is a critical window for intervention, as metabolic dysfunctions established during this period can persist into adulthood. Compounding this issue is the under-recognition of PCOS in younger populations, often dismissed as typical pubertal changes. Moreover, lifestyle factors such as poor diet, limited physical activity, and increased screen time have further exacerbated the risk of metabolic complications [6,7].

Despite the known risks, there is a lack of large-scale studies in South Asian adolescent populations assessing the prevalence of prediabetes, diabetes, and insulin resistance among those with PCOS. This study aims to fill that gap by evaluating a large cohort of adolescents with PCOS from various urban and rural settings across Bangladesh. The results are intended to guide early screening practices and preventive strategies aimed at curbing the growing epidemic of diabetes in young women.

METHODS

Study Design and Participants This cross-sectional study was conducted from January 2017 to January 2018 in the department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh (BSMMU). The women who came to the the hospital for their routine healthcare were targeted. Upon signing the consent form by the PCOS woman and their legal guardian, they were Inclusion Criteria • Female adolescents aged 13–19 years • Diagnosed with PCOS based on the Rotterdam 2003 criteria • Informed consent from participants and legal guardians Exclusion Criteria • Known diagnosis of type 1 diabetes or other endocrinopathies • Use of hormonal or insulin-sensitizing medications in the past 6 months was reported in the study. • Pregnancy Data Collection and Laboratory Measures Participants underwent detailed interviews, physical examinations, and laboratory assessments. Anthropometric data included height, weight, BMI, and waist circumference. Blood samples were collected after an overnight fast to measure: • Fasting plasma glucose (FPG) • 2-hour post-load glucose (OGTT) • Fasting insulin • HOMA-IR (calculated as [Fasting insulin (μU/mL) × Fasting glucose (mmol/L)] / 22.5) Definitions • Prediabetes: FPG 5.6–6.9 mmol/L or 2-hour glucose 7.8–11.0 mmol/L • Diabetes: FPG ≥ 7.0 mmol/L or 2-hour glucose ≥ 11.1 mmol/L • Insulin Resistance: HOMA-IR >2.5 Statistical Analysis Data were analyzed using SPSS v26. Continuous variables were presented as means ± SD and categorical variables as frequencies or percentages. Associations between clinical parameters and metabolic outcomes were analyzed using chi-square tests and logistic regression models.

Recommended Articles
Research Article
A Review of Current Approaches to Preventing Stroke
Published: 29/12/2019
Research Article
Impact of Vitamin D Supplementation on Insulin Resistance, Glycemic Control, and Inflammatory Markers in Vitamin D-Deficient Adults with Prediabetes
Published: 03/12/2020
Research Article
BIOLOGICAL IMPORTANCE OF AYURVEDIC CHURNAS: A REVIEW
...
Research Article
Outcomes of Posterior Fusion with Autologous Bone Graft in Lumbosacral Spondylolisthesis: A Multicenter Study in Bangladesh
...
Published: 30/11/2024
Copyright © RJMS unless stated otherwise.