@article {liTypePersonalityPredicts2016,
	title = {Type D Personality Predicts Poor Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus: A Six-Month Follow-Up Study},
	journal = {PLOS ONE},
	volume = {11},
	number = {2},
	year = {2016},
	pages = {e0146892},
	publisher = {Public Library of Science},
	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\&$\#$039;s Liberation Army in Beijing. Methods 412 T2DM patients (205 females), who were recruited by circular systematic random sampling, provided demographic and baseline data about medical information and completed measures of Type D personality. Then, 330 patients went on to complete a self-report measure of medication adherence at the sixth month after baseline data collection. Chi-square test, t tests, and hierarchical multiple regression analyses were conducted, as needed. Results Patients with type D personality were significantly more likely to have poor medication adherence (p$\&lt;$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.},
	issn = {1932-6203},
	doi = {10.1371/journal.pone.0146892},
	author = {Li, Xuemei and Zhang, Shengfa and Xu, Huiwen and Tang, Xinfeng and Zhou, Huixuan and Yuan, Jiaqi and Wang, Xiaohua and Qu, Zhiyong and Wang, Fugang and Zhu, He and Guo, Shuai and Tian, Donghua and Zhang, Weijun}
}
