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- Title
Type D Personality Predicts Poor Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus: A Six-Month Follow-Up Study.
- Authors
Li, Xuemei; Zhang, Shengfa; Xu, Huiwen; Tang, Xinfeng; Zhou, Huixuan; Yuan, Jiaqi; Wang, Xiaohua; Qu, Zhiyong; Wang, Fugang; Zhu, He; Guo, Shuai; Tian, Donghua; Zhang, Weijun
- Abstract
Background: Type D personality and medication nonadherence have been shown to be associated with poor health outcomes. Type D personality is associated with poor medication adherence in patients with coronary artery disease, myocardial infarction, and heart failure. However, the relationship between type D personality and medication adherence in patients with Type 2 Diabetes Mellitus (T2DM) remains unknown. This study aims to examine whether type D personality was associated with medication adherence in patients with T2DM. Design and Settings: A follow-up study was conducted in general hospital of the People's Liberation Army in Beijing. Methods: 412 T2DM patients (205 females), who were recruited by circular systematic random sampling, provided demographic and baseline data about medical information and completed measures of Type D personality. Then, 330 patients went on to complete a self-report measure of medication adherence at the sixth month after baseline data collection. Chi-square test, t tests, and hierarchical multiple regression analyses were conducted, as needed. Results: Patients with type D personality were significantly more likely to have poor medication adherence (p<0.001). Type D personality predicts poor medication adherence before and after controlling for covariates when it was analyzed as a categorical variable. However, the dimensional construct of type D personality was not associated with medication adherence when analyzed as a continuous variable. Conclusion: Although, as a dimensional construct, type D personality may not reflect the components of the personality associated with poor medication adherence in patients with T2DM, screening for type D personality may help to identify those who are at higher risk of poor medication adherence. Interventions, aiming to improve medication adherence, should be launched for these high-risk patients.
- Subjects
PEOPLE with diabetes; FOLLOW-up studies (Medicine); CHI-squared test; METABOLIC disorders; REGRESSION analysis
- Publication
PLoS ONE, 2016, Vol 11, Issue 2, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0146892