Gender-Based Disparities in Knowledge, Attitudes, and Practices Among Type-IIDiabetes Patients in Punjab, India: Insights for Tailored Interventions

The study underscores the need for tailored educational programs that incorporate socio-cultural considerations and improved access to healthcare resources, which are crucial for bridging gender gaps in diabetes self-management.

Authors

Institutions

Publication Details

Journal
Current Pharmaceutical Design
Published
2025-10-24
DOI
https://doi.org/10.2174/0113816128409456251008231638
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender-Based Disparities in Knowledge, Attitudes, and Practices Among Type-IIDiabetes Patients in Punjab, India: Insights for Tailored Interventions

Sidharth Mehan, Ghanshyam Das Gupta, Sandeep Kaur
Current Pharmaceutical Design
Diabetes Management and Education
article

Gender-Based Disparities in Knowledge, Attitudes, and Practices Among Type-IIDiabetes Patients in Punjab, India: Insights for Tailored Interventions

Sidharth Mehan, Ghanshyam Das Gupta, Sandeep Kaur
article en

Abstract

The study underscores the need for tailored educational programs that incorporate socio-cultural considerations and improved access to healthcare resources, which are crucial for bridging gender gaps in diabetes self-management.

Current Pharmaceutical DesignVol. 32
Indo Soviet Friendship College of Pharmacy (IN), Punjab Technical University (IN)
Openalex Percentile: Top 58%
Diabetes Management and Education
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.