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The objective of this study was to construct and validate a structural equation model (SEM) to identify factors associated with sleep quality in awake patients in the intensive care unit (ICU) and to assist in the development of clinical intervention strategies.
In this cross-sectional study, 200 awake patients who were cared for in the ICU of a tertiary hospital in China were surveyed via several self-report questionnaires and wearable actigraphy sleep monitoring devices. Based on the collected data, structural equation modelling analysis was performed using SPSS and AMOS statistical analysis software. The study is reported using the STROBE checklist.
The fit indices of the SEM were acceptable: χ2/df = 1.676 (p < .001) and RMSEA = .058 (p < 0.080). Anxiety/depression had a direct negative effect on the sleep quality of awake patients cared for in the ICU (β = −.440, p < .001). In addition, disease-freeness progress had an indirect negative effect on the sleep quality of awake patients cared for in the ICU (β = −.142, p < .001). Analgesics had an indirect negative effect on the sleep quality of awake patients cared for in the ICU through pain and sedatives (β = −.082, p < .001). Sedation had a direct positive effect on the sleep quality of conscious patients cared for in the ICU (β = .493; p < .001).
The results of the SEM showed that the sleep quality of awake patients cared for in the ICU is mainly affected by psychological and disease-related factors, especially anxiety, depression and pain, so we can improve the sleep quality of patients through psychological intervention and drug intervention.
Fear of cancer recurrence (FCR) is a multifaceted concept influenced by individual characteristics, social support, psychological factors. This study aims to identify distinct FCR profiles among breast cancer patients and explore the associated variables with these patterns.
A cross-sectional study was conducted from April 2022 to March 2023.
A convenience sample of 339 patients completed a questionnaire that assessed general and disease-related data, including the Fear of Progression Questionnaire-Short Form, Social Support Rating Scale, Medical Coping Modes Questionnaire. Statistical analysis involved latent profile analysis (LPA) and multinomial logistic regression.
Three latent patterns of FCR were found: the low fear (28.9%), the moderate fear (51.3%), and the high fear (18.0%). The study identified the social support, family monthly income, employment status, utilization of confrontation coping mode and avoidance coping mode, as factors that impacted the FCR.
Social support, family monthly income, employment status, and medical coping modes have been found to impact the FCR among newly diagnosed breast cancer patients. Healthcare professionals should focus on addressing FCR at diagnosis and implement effective interventions, such as promoting social support and encouraging adaptive coping, to alleviate this concern.
Urgently addressing the FCR in Chinese breast cancer patients is imperative due to its profound influence on their holistic health. Through advanced LPA, we categorized the FCR progression, highlighting risks. These findings have implications for healthcare strategies, offering new insights to manage the FCR and improve patient well-being. Our study adds a fresh perspective to the factors underlying the FCR in breast cancer patients, contributing to the broader comprehension and management of this complex survivorship issue.
No patient or public contribution.
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