Background: Esophageal cancer has a high incidence in China. Many patients also have a heavy psychological burden due to clinical features such as wasting and choking on food. This study analyzed the risk factors of negative emotions in esophageal cancer patients during the peri-radiotherapy period and its effects on malnutrition.
Methods: We retrospectively analyzed 339 patients with esophageal cancer during the peri-radiotherapy who received treatment at our hospital from April 2017 to April 2020, and followed up for 3 years. test and Chi-square test were used to analyze the relationship between patients' negative emotions and clinical data. Binary logistics regression was performed to analyze the independent risk factors for the occurrence of negative mood and malnutrition in the patients. Kaplan-Meier survival curves were used to analyze survival rates.
Results: Our results showed that 18.3% of patients undergoing radiotherapy for esophageal cancer had negative emotions, and 41.9% suffered from malnutrition. The results of the binary logistic regression analysis showed that monthly household income (OR = 0.470, P = 0.022), the TNM stage (OR = 2.030, P = 0.044), concomitant gastrointestinal symptoms (OR = 2.071, P = 0.024), sleep status (OR = 2.540, P = 0.003), swallowing disorders (OR = 1.919, P = 0.048), and post-radiotherapy complications were independent risk factors for the development of negative emotions in patients. Negative emotions (OR = 2.547, P = 0.038) were also a risk factor for malnutrition in patients with esophageal cancer.
Conclusion: Many patients with esophageal cancer suffer from anxiety and depression in the peri-radiotherapy period, which might lead to complications such as malnutrition or aggravate and affect the prognosis of patients. Therefore, psychological care should be provided based on conventional care to effectively relieve their psychological pressure, and improve their prognosis and quality of life.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10757788 | PMC |
| http://dx.doi.org/10.2147/IJGM.S444255 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The advantages of lexicon-based sentiment analysis in an age of machine learning.
PLoS One
January 2025
Department of Political Science, Middlebury College, Middlebury, Vermont, United States of America.
Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications across many disciplines. Automated approaches make it possible to code near unlimited quantities of texts rapidly, replicably, and with high accuracy. Compared to machine learning and large language model (LLM) approaches, lexicon-based methods may sacrifice some in performance, but in exchange they provide generalizability and domain independence, while crucially offering the possibility of identifying gradations in sentiment.
View Article and Find Full Text PDFThe impact of de-familization on green innovation: Evidence from SRDI family firms in China.
PLoS One
January 2025
Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
Green innovation is essential for sustainable development, especially in China's Specialized-Refined-Differentiated-Innovative (SRDI) enterprises. Family-owned SRDI firms, in particular, have attracted attention due to their de-familization strategies and their influence on green innovation. Our study analyzes panel data from 2016 to 2021 for listed SRDI family firms to investigate how de-familization in management rights and ownership impacts green innovation.
View Article and Find Full Text PDFThe impact of workplace bullying on depression among clinical nurses in China: A comparative analysis.
Medicine (Baltimore)
January 2025
Department of ICU, Ningbo Medical Centre Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
The objective of this study is to examine the phenomenon of workplace bullying and its potential associations with burnout and depression among clinical nurses in China. A convenience sampling method was utilized to conduct a survey among 415 clinical nurses across 9 hospitals. All questionnaires were completed within a 2-week period in October 2023.
View Article and Find Full Text PDFImpact of the COVID-19 pandemic on the mental health of Nursing students: A systematic review and meta-analysis.
Medicine (Baltimore)
January 2025
Centro Universitario de Enfermería Cruz Roja, University of Seville, Seville, Spain.
Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.
Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.
Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.
MicroRNA dynamics, PTEN/PI3K/AKT signaling, and their relationship to breast cancer: prospects for pharmaceuticals and natural product application.
Breast Cancer Res Treat
January 2025
Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Background: Globally, Breast Cancer (BC) is the most frequent cancer in women and has a major negative impact on the physical and emotional well-being of its patients as well as one of the most common cancers to be diagnosed. Numerous studies have been published to identify various molecular pathways, including PI3K/AKT/PTEN. Moreover, growing evidence suggests that miRNAs have been found to play a vital role in the growth and carcinogenesis of tumors.
View Article and Find Full Text PDFWant 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!