Back to Search Start Over

Knowledge of A1c Predicts Diabetes Self-Management and A1c Level among Chinese Patients with Type 2 Diabetes.

Authors :
Shengnan Yang
Weimin Kong
Cunyi Hsue
Anne F Fish
Yufeng Chen
Xiaohui Guo
Qingqing Lou
Robert Anderson
Source :
PLoS ONE, Vol 11, Iss 3, p e0150753 (2016)
Publication Year :
2016
Publisher :
Public Library of Science (PLoS), 2016.

Abstract

This study was to identify current A1c understanding status among Chinese patients with type 2 diabetes, assess if knowledge of A1c affects their diabetes self-management and their glycemic control and recognize the factors influencing knowledge of A1c among patients with type 2 diabetes. A multi-center, cross-sectional survey was conducted between April and July 2010 in 50 medical centers in the Mainland China. Participants were recruited from inpatients and outpatients who were admitted to or visited those medical centers. The survey included core questions about their demographic characteristics, diabetes self-management behavior, and A1c knowledge. Overall, of 5957 patients, the percentage of patients with good understanding was 25.3%. In the multivariable logistic regression model, the variables related to the knowledge of A1c status are presented. We discovered that patients with longer diabetes duration (OR = 1.05; 95%CI = 1.04-1.06) and having received diabetes education (OR = 1.80; 95%CI = 1.49-2.17) were overrepresented in the good understanding of A1c group. In addition, compared to no education level, higher education level was statistically associated with good understanding of A1c (P

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
3
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.fdd3c3b2cfdc4084b8ad0adb9b6d83c5
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0150753