What is the relationship between trait anxiety and depressive symptoms, fatigue, and low sleep quality following breast cancer surgery?

2012 ◽  
Vol 22 (5) ◽  
pp. 1127-1133 ◽  
Author(s):  
J. P. M. Lockefeer ◽  
J. De Vries
Keyword(s):  
Breast Cancer ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Trait Anxiety ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
The Relationship

Effect of melatonin on depressive symptoms and anxiety in patients undergoing breast cancer surgery: a randomized, double-blind, placebo-controlled trial

2014 ◽  
Vol 145 (3) ◽  
pp. 683-695 ◽  
Author(s):  
Melissa V. Hansen ◽  
Lærke T. Andersen ◽  
Michael T. Madsen ◽  
Ida Hageman ◽  
Lars S. Rasmussen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Depressive Symptoms ◽  
Controlled Trial ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Double Blind ◽  
Double Blind Placebo

scholarly journals Trajectories of Depressive Symptoms in Women Prior to and for 6 Months After Breast Cancer Surgery

2014 ◽  
Vol 19 (2) ◽  
pp. 79-105 ◽  
Author(s):  
Marianna Kyranou ◽  
Kathleen Puntillo ◽  
Bradley E. Aouizerat ◽  
Steven M. Paul ◽  
Bruce A. Cooper ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Depressive Symptoms ◽  
Cancer Surgery ◽  
Breast Cancer Surgery

Hopelessness is associated with poor sleep quality after breast cancer surgery among Tunisian women

2020 ◽  
Vol 44 (1) ◽  
pp. 100504
Author(s):  
Feten Fekih-Romdhane ◽  
Leila Achouri ◽  
Abir Hakiri ◽  
Olfa Jaidane ◽  
Khaled Rahal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals Poor preoperative sleep quality is a risk factor for severe postoperative pain after breast cancer surgery

Medicine ◽  
2019 ◽  
Vol 98 (44) ◽  
pp. e17708 ◽  
Author(s):  
Jin-ping Wang ◽  
Su-fen Lu ◽  
Li-na Guo ◽  
Chun-guang Ren ◽  
Zong-wang Zhang
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Postoperative Pain ◽  
Sleep Quality ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Severe Postoperative Pain

Initial Surgical Treatment for Breast Cancer and the Distance Traveled for Care

2020 ◽  
pp. 000313482097373
Author(s):  
Daniel R. Kirkpatrick ◽  
Nickolay P. Markov ◽  
Justin P. Fox ◽  
Rebecca M. Tuttle
Keyword(s):  
Breast Cancer ◽  
Surgical Treatment ◽  
Primary Outcome ◽  
Private Insurance ◽  
Female Breast Cancer ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Breast Cancer Patients ◽  
Final Sample ◽  
The Relationship

Background Geography may influence the operative decision-making in breast cancer treatment. This study evaluates the relationship between distance to treating facility and the initial breast cancer surgery selected, identifying the characteristics of women who travel for surgery. Methods Utilizing Florida state inpatient and ambulatory surgery databases, we identified female breast cancer patients who underwent surgical treatment from January 1 to December 31, 2013. Patients were subgrouped by distance to treatment facility. The primary outcome was the initial surgical treatment choice. Regression models were used to identify factors associated with greater distance to initial treatment. Results The final sample included 12 786 patients who underwent lumpectomy, mastectomy alone, or mastectomy with reconstruction. Compared to women who traveled < 4.0 miles, women who traveled > 14.0 miles were younger ( P < .001), more often identified as white with private insurance ( P < .001) and were less likely to have three or more medical comorbidities ( P < .001). With increased travel to treatment, the frequency of lumpectomy decreased ( P < .001), while the frequency of mastectomy with reconstruction increased ( P < .001). Increasing age in years (adjusted odds ratio (AOR) = .98 [95% CI = .98-.99]) and identifying as nonwhite with private (AOR = .70 [.61-.80]) or public insurance (AOR = .64 [.56-.73]) was associated with less frequently travelling for initial breast cancer surgery. Discussion The relationship between the initial surgical treatment for breast cancer and the distance traveled for care highlights a disparity between those who can and cannot travel for treatment.

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