A Study on the Challenges Faced by Women with Gestational Diabetes in Self-Management Based on Web Crawler Data
Year: 2026
Type: conference-paper
Abstract: Self-management is the cornerstone of health management for gestational diabetes mellitus (GDM), yet patients still face many challenges in practicing it daily. This study used web crawling and text mining to analyze big data from online health communities, exploring GDM patients’ self-management strategies and psychological experiences during disease adaptation to inform optimized clinical interventions. A total of 5,113 valid texts were collected from four Chinese online health communities in 2025. Qualitative coding identified three main themes, eight sub-themes, and 35 items, revealing core themes including sudden diagnosis awareness, practical self-management difficulties, and identity construction with long-term health expectations, reflecting patients’ dynamic adaptation process. The findings suggest that GDM patients’ self-management is a process of self-reconstruction under multiple pressures. Conflict mechanisms revealed by big data can offer data and theoretical support for the clinical shift to integrated health management.
Author: Lei Hu
Institution: Chengdu Polytechnic
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7203772274