David Ayangba Asakitogum, Jerry J Nutor, Marilyn J Hammer, Rachel Pozzar, Steven M Paul, Bruce A Cooper, Yvette P Conley, Jon Levine, Christine Miaskowski
{"title":"Decrements in Morning and Evening Energy Are Associated With a Higher Symptom Burden in Patients With Gynecologic Cancers Receiving Chemotherapy.","authors":"David Ayangba Asakitogum, Jerry J Nutor, Marilyn J Hammer, Rachel Pozzar, Steven M Paul, Bruce A Cooper, Yvette P Conley, Jon Levine, Christine Miaskowski","doi":"10.1097/NCC.0000000000001420","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Decrements in energy are a significant problem associated with chemotherapy. To date, no study examined the variability of energy in patients with gynecologic cancers.</p><p><strong>Objective: </strong>To identify distinct morning and evening energy profiles in patients with gynecologic cancers and evaluate for differences in demographic and clinical characteristics, other common symptoms, and quality-of-life (QOL) outcomes.</p><p><strong>Methods: </strong>A sample of 232 patients with gynecologic cancers completed questionnaires 6 times over 2 cycles of chemotherapy. Latent profile analysis was used to identify distinct morning and evening energy profiles. Differences in demographic and clinical characteristics, other common symptoms, and QOL outcomes were evaluated using parametric and nonparametric tests.</p><p><strong>Results: </strong>Three distinct morning (ie, high [9.2%], low [63.1%], very low [27.1%]) and 2 distinct evening (moderate [30.6%], very low [69.4%]) energy classes were identified. Clinical risk factors associated with the worst morning energy profiles included lower functional status and a higher comorbidity burden. Less likely to exercise on a regular basis was the only characteristic associated with the worst evening energy profile. For both symptoms, the worst profiles were associated with higher levels of depression and sleep disturbance, lower levels of cognitive function, and poorer QOL.</p><p><strong>Conclusions: </strong>Approximately 70% of patients with gynecologic cancers experienced decrements in morning and evening energy. The study identified modifiable risk factors associated with more decrements in morning and evening energy.</p><p><strong>Implications for practice: </strong>Clinicians can use these findings to identify higher-risk patients and develop individualized energy conservation interventions for these vulnerable patients.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/NCC.0000000000001420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Decrements in energy are a significant problem associated with chemotherapy. To date, no study examined the variability of energy in patients with gynecologic cancers.
Objective: To identify distinct morning and evening energy profiles in patients with gynecologic cancers and evaluate for differences in demographic and clinical characteristics, other common symptoms, and quality-of-life (QOL) outcomes.
Methods: A sample of 232 patients with gynecologic cancers completed questionnaires 6 times over 2 cycles of chemotherapy. Latent profile analysis was used to identify distinct morning and evening energy profiles. Differences in demographic and clinical characteristics, other common symptoms, and QOL outcomes were evaluated using parametric and nonparametric tests.
Results: Three distinct morning (ie, high [9.2%], low [63.1%], very low [27.1%]) and 2 distinct evening (moderate [30.6%], very low [69.4%]) energy classes were identified. Clinical risk factors associated with the worst morning energy profiles included lower functional status and a higher comorbidity burden. Less likely to exercise on a regular basis was the only characteristic associated with the worst evening energy profile. For both symptoms, the worst profiles were associated with higher levels of depression and sleep disturbance, lower levels of cognitive function, and poorer QOL.
Conclusions: Approximately 70% of patients with gynecologic cancers experienced decrements in morning and evening energy. The study identified modifiable risk factors associated with more decrements in morning and evening energy.
Implications for practice: Clinicians can use these findings to identify higher-risk patients and develop individualized energy conservation interventions for these vulnerable patients.