Longitudinal study on sleep disorders in newly diagnosed breast cancer patients
10.3760/cma.j.cn211501-20240909-02458
- VernacularTitle:初诊乳腺癌患者睡眠障碍的纵向研究
- Author:
Chao WANG
1
;
Shengmin LIU
;
Hailing DING
;
Mingjing LU
;
Yuli LI
;
Na LIU
Author Information
1. 山东省立第三医院手术室，济南 250031
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Sleep disorders;
Fear of cancer recurrence;
Distress disclosure;
Longitudinal study
- From:
Chinese Journal of Practical Nursing
2025;41(10):734-740
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the longitudinal trajectory of sleep disorders and their influencing factors in newly diagnosed breast cancer patients, and provide theoretical basis for formulating intervention measures to improve sleep quality of breast cancer patients.Methods:A longitudinal study was conducted using convenience sampling to select newly diagnosed breast cancer patients from Shandong Provincial Third Hospital and Shandong First Medical University Affiliated Provincial Hospital from April 2023 to June 2024. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Concerns About Recurrence Scale (CARS), and the Distress Disclosure Index (DDI) were used for the survey. The Kruskal-Wallis H test and generalized estimating equation models were used to examine sleep disorders and their influencing factors. Results:A total of 473 valid questionnaires were collected. Among the 473 newly diagnosed breast cancer patients, 435 were female and 38 were male, aged (49.5 ± 11.0) years old. The CARS score at admission was (3.00 ± 1.12) points, with concerns about death (0.71 ± 0.67) points and concerns about female characteristics (0.81 ± 0.72) points. The DDI score at admission was (27.00 ± 10.03) points. The PSQI scores at admission, discharge, and one month after discharge were (15.34 ± 3.05), (12.12 ± 3.01), and (10.13 ± 1.78) points, respectively, the difference was statistically significant ( H =33.19, P<0.05). The PSQI scores at these three time points were positively correlated with the CARS score and concerns about death and female characteristics ( r values were 0.42-0.79, all P<0.05), and negatively correlated with the DDI score ( r =-0.41, -0.37, -0.31, all P<0.05). The generalized estimating equation model showed that female gender ( β=1.35, 95% CI 0.27-2.30), education level of junior high school or below ( β=1.89, 95% CI 0.24-3.19), severe pain ( β=1.72, 95% CI 0.32-3.12), moderate pain ( β=2.51, 95% CI 0.37-4.66), invasive special cancer ( β=2.57, 95% CI 1.67-4.07), invasive non-special cancer ( β=2.11, 95% CI 1.98-3.12), partial understanding of the condition ( β=1.91, 95% CI 1.23-3.01), concerns about death ( β=1.61, 95% CI 0.17-2.78), and concerns about femininity ( β=1.34, 95% CI 0.37-2.15) positively predicted the sleep quality index in newly diagnosed breast cancer patients (all P<0.05). Non-invasive cancer ( β=-3.82, 95% CI -6.79--3.36), lack of understanding of the condition ( β=-3.96, 95% CI -7.09--4.62), and DDI score ( β=-1.45, 95% CI -2.14--0.15) negatively predicted the sleep quality index (all P<0.05). Conclusions:The overall sleep quality of newly diagnosed breast cancer patients is low, with the lowest at admission and gradual improvement at discharge and one month after discharge. Medical staff should pay attention to high-risk patients who are female, have lower education levels, higher pain scores, poorer pathological types, and partial understanding of their condition.
