↓ Skip to main content

Pre-surgical depression and anxiety and recovery following coronary artery bypass graft surgery

Overview of attention for article published in Journal of Behavioral Medicine, August 2016
Altmetric Badge

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
84 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Pre-surgical depression and anxiety and recovery following coronary artery bypass graft surgery
Published in
Journal of Behavioral Medicine, August 2016
DOI 10.1007/s10865-016-9775-1
Pubmed ID
Authors

Lydia Poole, Amy Ronaldson, Tara Kidd, Elizabeth Leigh, Marjan Jahangiri, Andrew Steptoe

Abstract

We aimed to explore the combined contribution of pre-surgical depression and anxiety symptoms for recovery following coronary artery bypass graft (CABG) using data from 251 participants. Participants were assessed prior to surgery for depression and anxiety symptoms and followed up at 12 months to assess pain and physical symptoms, while hospital emergency admissions and death/major adverse cardiac events (MACE) were monitored on average 2.68 years after CABG. After controlling for covariates, baseline anxiety symptoms, but not depression, were associated with greater pain (β = 0.231, p = 0.014) and greater physical symptoms (β = 0.194, p = 0.034) 12 months after surgery. On the other hand, after controlling for covariates, baseline depression symptoms, but not anxiety, were associated with greater odds of having an emergency admission (OR 1.088, CI 1.010-1.171, p = 0.027) and greater hazard of death/MACE (HR 1.137, CI 1.042-1.240, p = 0.004). These findings point to different pathways linking mood symptoms with recovery after CABG surgery.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Student > Ph. D. Student 8 10%
Student > Doctoral Student 7 8%
Researcher 6 7%
Student > Postgraduate 6 7%
Other 15 18%
Unknown 30 36%
Readers by discipline Count As %
Nursing and Health Professions 17 20%
Psychology 14 17%
Medicine and Dentistry 13 15%
Neuroscience 2 2%
Social Sciences 2 2%
Other 5 6%
Unknown 31 37%