Demographic and clinical profile of patients with type 2 diabetes mellitus in Bangladesh

Background: Type 2 diabetes mellitus (T2DM) is a major public health issue in Bangladesh, influenced by socio-demographic factors, lifestyle habits, and comorbidities. Proper understanding of patient profiles is crucial for effective management. Objective: This study aimed to assess the demographic and clinical characteristics of T2DM patients. Methods: This a cross-sectional, observational study was conducted in the Department of Pharmacology in collaboration with the Department of Endocrinology out patients’ Department in Mymensingh Medical College Hospital, Mymensingh. Bangladesh from July 2021 to June 2022. A total of 172 patients of both gender with type-2 diabetes mellitus were enrolled purposively. Data were analyzed using MS Office tools. Results: The study included 172 patients with type 2 diabetes mellitus, predominantly female (64%). Most participants were housewives (60.4%), with 52% from rural areas. A significant proportion (45.3%) were overweight. The most common complication was peripheral neuropathy (32.6%), and hypertension was the leading comorbidity (39.5%). The duration of diabetes varied, with 29.1% having had the disease for over six years. Conclusion: This study highlights a predominantly female T2DM population, with high rates of overweight and rural residence. Peripheral neuropathy and hypertension were the most common complications and comorbidities. These findings underscore the importance of targeted interventions for better management of T2DM patients in Bangladesh.

Authors

Publication Details

Journal
International Journal of Pharmacology and Pharmaceutical Research
Published
2025-01-01
DOI
https://doi.org/10.33545/26647184.2025.v7.i1a.44
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demographic and clinical profile of patients with type 2 diabetes mellitus in Bangladesh

Rafika Afrose, Razia Sultana, Md. Anowar Hossain, An Nazmus Saleheen
International Journal of Pharmacology and Pharmaceutical Research
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Demographic and clinical profile of patients with type 2 diabetes mellitus in Bangladesh

Rafika Afrose, Razia Sultana, Md. Anowar Hossain, An Nazmus Saleheen
article en

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a major public health issue in Bangladesh, influenced by socio-demographic factors, lifestyle habits, and comorbidities. Proper understanding of patient profiles is crucial for effective management. Objective: This study aimed to assess the demographic and clinical characteristics of T2DM patients. Methods: This a cross-sectional, observational study was conducted in the Department of Pharmacology in collaboration with the Department of Endocrinology out patients’ Department in Mymensingh Medical College Hospital, Mymensingh. Bangladesh from July 2021 to June 2022. A total of 172 patients of both gender with type-2 diabetes mellitus were enrolled purposively. Data were analyzed using MS Office tools. Results: The study included 172 patients with type 2 diabetes mellitus, predominantly female (64%). Most participants were housewives (60.4%), with 52% from rural areas. A significant proportion (45.3%) were overweight. The most common complication was peripheral neuropathy (32.6%), and hypertension was the leading comorbidity (39.5%). The duration of diabetes varied, with 29.1% having had the disease for over six years. Conclusion: This study highlights a predominantly female T2DM population, with high rates of overweight and rural residence. Peripheral neuropathy and hypertension were the most common complications and comorbidities. These findings underscore the importance of targeted interventions for better management of T2DM patients in Bangladesh.

International Journal of Pharmacology and Pharmaceutical ResearchVol. 7(1)
Openalex Percentile: Top 93%
Diabetes, Cardiovascular Risks, and Lipoproteins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.