Purpose: (a) To identify subgroups with unique psychoneurological symptom-cluster experience (depression, cognitive impairment, fatigue, sleep disturbance, and pain) and (b) to examine whether the selected demographic, clinical, psychological, and biological factors determine a symptom-cluster experience in cancer patients.
Method: The sample included 203 patients with diverse cancer types recruited from a Korean university hospital. Latent profile analyses were conducted to identify subgroups. Influencing factors of subgroup membership (demographic/clinical variables, hemoglobin level, social support, and psychological stress) were included as covariates in latent profile analysis and analyzed by multinomial logistic regression.
Results: Latent profile analyses classified patients into two subgroups with a unique symptom cluster experience: patients experiencing high intensity in all symptoms within the cluster (the all-high-symptom subgroup, 71%) and patients experiencing low intensity in all symptoms within the cluster (all-low-symptom subgroup, 29%). The validity of the two subgroups was confirmed by the group classification accuracy (97% of the all-low-symptom subgroup and 99% of the all-high-symptom subgroup) and by significant Wald's mean equality tests, showing each symptom (depression, cognitive impairment, fatigue, sleep disturbance, and pain) significantly differentiated the two subgroups (ps < .001). Psychological stress independently determined the subgroup membership. Patients with high levels of stress were more likely to be in the all-high-symptom group (OR = 4.69, p < .0001). Hemoglobin level, cancer diagnosis, social support, and previous chemotherapy experience did not influence group membership.
Conclusions: A large number of patients experience five psychoneurological symptoms simultaneously due to psychological stress. Interventions targeted to stress would be beneficial for those patients.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ejon.2019.08.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Unique Expression Profile Responding to Powdery Mildew in Wild Emmer Wheat D430.
Int J Mol Sci
December 2024
Yantai Key Laboratory of Characteristic Agricultural Biological Resources Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China.
Powdery mildew, caused by f. sp. (), is a disease that seriously harms wheat production and occurs in all wheat-producing areas around the world.
View Article and Find Full Text PDFEthnic enclaves, neighborhood socioeconomic status, and obesity among Hispanic women in Chicago: a latent profile analysis approach.
Cancer Causes Control
January 2025
Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Purpose: The prevalence of obesity, a crucial risk factor for breast cancer, is markedly higher among Hispanic women. The interaction between ethnic enclaves and neighborhood socioeconomic status (SES) as a determinant of this disparity warrants further research. We aimed to identify neighborhood profiles based on ethnic enclaves and socioeconomic status to evaluate the association with obesity among Hispanic women in the metropolitan Chicago region.
View Article and Find Full Text PDF"Knock me down a little bit more": Support networks of parents impacted by the child welfare system, a mixed methods study.
Child Abuse Negl
January 2025
Florida Institute for Child Welfare, Florida State University, United States of America.
Background: Families impacted by the child welfare system (CWS) face increased risks of poverty, family dysfunction, and poor child outcomes. Strong support networks, comprised of formal support from government programs or service providers and informal support from family and friends, are an under-researched potential mechanism to facilitate family engagement and protect against child maltreatment.
Objective: This study's objective was to describe formal and informal supports among parents with substantiated maltreatment who recently entered the CWS to understand parents' situations and conditions.
Aim: This study uses latent profile analysis to explore the latent characteristics of research competence among speciality nurses and its influencing factors.
Design: This study is a cross-sectional study.
Methods: From January to February 2024, 813 speciality nurses were recruited from five tertiary hospitals in Henan Province, China, using a convenience sampling method.
Classifying and Characterising Unmet Integrated Care Needs of Older Adults With Multimorbidity: A Latent Profile Analysis.
J Clin Nurs
January 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Aims: To classify the unmet integrated care needs of older adults with multimorbidity and to explore the factors associated with different categories of unmet integrated care needs among the target population.
Design: A cross-sectional survey using the statistical method of latent profile analysis.
Methods: From July 2022 to March 2023, 397 older adults with multimorbidity, aged 60 years or older, were recruited from one primary healthcare setting and from four secondary and tertiary hospitals to participate in face-to-face questionnaire surveys.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!