Identification of subgroups of patients with gastrointestinal cancers based on symptom severity and frequency: A latent profile and latent class analysis

医学 潜在类模型 内科学 癌症 食管癌 胃肠道癌 人口统计学的 心理干预 胃肠病学 结直肠癌 人口学 精神科 数学 统计 社会学
作者
Ke Wang,Min Diao,Zhaoxia Yang,Mengjia Liu,Jordan Tovera Salvador
出处
期刊:European Journal of Oncology Nursing [Elsevier]
卷期号:68: 102479-102479 被引量:2
标识
DOI:10.1016/j.ejon.2023.102479
摘要

Abstract

Purpose

Identify subgroups of patients with gastrointestinal cancer with different frequency and severity of symptoms and assess differences in demographics, clinical characteristics, and degree of interference with daily life.

Methods

This was a cross-sectional study. A total of 202 patients with gastrointestinal cancers completed the Chinese version of the MD Anderson Symptom Inventory for Gastrointestinal Cancer Module by convenience sampling. Subgroups of patients were identified using latent profile analysis and latent class analysis. Chi-squared, Mann-Whitney-U, and Kruskal-Wallis tests assessed differences among subgroups.

Results

In terms of symptom severity, low (70.3%), Moderate (13.4%), and high (16.3%) classes were identified. Compared with the other two classes, the Moderate group had a higher proportion of patients with a history of tobacco and alcohol, esophageal cancer, and gastric cancer (P < 0.05). In terms of symptom frequency, all -high (57.9%), high physical symptoms (9.9%), and all-low (32.2%) classes were identified. All-high groups had a younger age and a higher proportion of patients with cancer stage IV (P < 0.05). The high group had the most interference with daily life in both perspectives (P < 0.001), and psycho-emotional symptoms were frequent and severe.

Conclusions

The two perspectives of symptom severity and frequency can play a complementary role in identifying high-risk groups. Clinical practitioners should strengthen psychological interventions in young and advanced cancer patients and provide pharmaceutical and non-pharmaceutical interventions for dysphagia symptoms in esophageal and gastric cancer patients with a history of tobacco and alcohol.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
刚刚
1秒前
李爱国应助weed6采纳,获得10
1秒前
1秒前
脑洞疼应助chess采纳,获得10
2秒前
高贵火儿完成签到 ,获得积分10
2秒前
2秒前
hahaha完成签到,获得积分10
2秒前
jing发布了新的文献求助10
2秒前
糖卜里卜完成签到,获得积分10
3秒前
所所应助踏雾采纳,获得10
3秒前
ZYQ完成签到,获得积分10
4秒前
Unicorn完成签到,获得积分10
4秒前
tanc完成签到,获得积分10
4秒前
大帅比完成签到 ,获得积分10
5秒前
传奇3应助文艺的夏青采纳,获得10
5秒前
6秒前
科研通AI6应助蝈蝈采纳,获得10
6秒前
CodeCraft应助dhjic采纳,获得10
7秒前
科研通AI6应助mrml采纳,获得10
7秒前
刘毅完成签到,获得积分10
7秒前
7秒前
向晚发布了新的文献求助10
7秒前
研究生发布了新的文献求助10
7秒前
22关闭了22文献求助
7秒前
研友_wZr5Rn发布了新的文献求助10
8秒前
8秒前
中西西完成签到 ,获得积分10
8秒前
戏谑完成签到,获得积分10
9秒前
9秒前
迷糊关注了科研通微信公众号
9秒前
猪猪侠应助zzkkl采纳,获得10
10秒前
小熊完成签到,获得积分10
10秒前
CodeCraft应助迷路的手机采纳,获得10
11秒前
52251013106发布了新的文献求助10
11秒前
angleangelone完成签到,获得积分10
11秒前
12秒前
科研通AI6应助罗非鱼采纳,获得10
12秒前
13秒前
Nature发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667199
求助须知:如何正确求助?哪些是违规求助? 4884533
关于积分的说明 15119115
捐赠科研通 4826074
什么是DOI,文献DOI怎么找? 2583722
邀请新用户注册赠送积分活动 1537874
关于科研通互助平台的介绍 1496008