Ayangba Asakitogum David, Nutor Jerry John, Hammer Marilyn J, Pozzar Rachel A, Cooper Bruce A, Paul Steven M, Conley Yvette P, Levine Jon D, Miaskowski Christine
David Ayangba Asakitogum.
Jerry John Nutor.
Oncol Nurs Forum. 2025 Feb 18;52(2):E35-E57. doi: 10.1188/25.ONF.E35-E57.
To identify distinct morning and evening fatigue profiles in patients with gynecologic cancers and evaluate for differences in demographic and clinical characteristics, common symptoms, and quality-of-life outcomes.
SAMPLE & SETTING: Outpatients with gynecologic cancers (N = 233) were recruited before their second or third cycles of chemotherapy at four cancer centers in San Francisco Bay and New York.
METHODS & VARIABLES: The Lee Fatigue Scale was completed six times over two cycles of chemotherapy in the morning and in the evening. Latent profile analysis was used to identify distinct morning and evening fatigue profiles.
Four distinct morning and two distinct evening fatigue classes were identified. Common risk factors for morning and evening fatigue included younger age, higher body mass index, lower functional status, and higher comorbidity burden. Patients in the worst morning and evening fatigue classes reported higher levels of anxiety, depression, and sleep disturbance; lower levels of energy and cognitive function; and poorer quality of life.
Clinicians can use this information to identify higher-risk patients and develop individualized interventions for morning and evening fatigue.
识别妇科癌症患者不同的早晚疲劳特征，并评估其在人口统计学和临床特征、常见症状及生活质量结果方面的差异。
在旧金山湾区和纽约的四个癌症中心，招募了妇科癌症门诊患者（N = 233），在其进行第二或第三个化疗周期之前参与研究。
在两个化疗周期内，于早晨和晚上分别使用李疲劳量表进行六次测评。采用潜在类别分析来识别不同的早晚疲劳特征。
识别出四种不同的早晨疲劳类别和两种不同的晚上疲劳类别。早晚疲劳的常见风险因素包括年龄较小、体重指数较高、功能状态较低以及共病负担较重。处于最差早晚疲劳类别的患者报告有更高水平的焦虑、抑郁和睡眠障碍；更低水平的精力和认知功能；以及更差的生活质量。
临床医生可利用这些信息识别高危患者，并针对早晚疲劳制定个性化干预措施。
