Simple patterns behind complex spatial pain reporting? Assessing a classification of multisite pain reporting in the general population

医学 人口 物理疗法 潜在类模型 关节痛 流行病学 病理 数学 环境卫生 统计
作者
Carsten Oliver Schmidt,Sebastian E. Baumeister
出处
期刊:Pain [Ovid Technologies (Wolters Kluwer)]
卷期号:133 (1): 174-182 被引量:54
标识
DOI:10.1016/j.pain.2007.04.022
摘要

Pain is a common symptom in the general population. While most subjects experience pain in more than one body site, most epidemiologic and clinical studies focus on single pain sites. Limited evidence on spatial pain pattern reporting is available to date. This study develops a taxonomy for complex spatial pain pattern reporting in the general population, and assesses associations to external criteria with emphasis on physical and social functioning. Analyses are based on the cross-sectional German National Health Survey. In total, 7124 subjects aged 18–79 completed a self-rating questionnaire. It comprised items on the 7-day prevalence of pain in 13 body sites. Physical and social functioning were assessed with the Short Form 36. Lifetime prevalences of migraine and degenerative and inflammatory joint diseases were measured using layman descriptions. Latent class cluster analysis was used to classify spatial pain patterns. Four-hundred and seventy-five spatial pain patterns were grouped into seven pain classes: no or one painful body site (46.9%), prevailing headache with limited upper body involvement (16.4%), musculoskeletal upper body pain either with (8.2%) or without headache (8.5%), musculoskeletal pain in the back and lower extremities (10.8%), widespread musculoskeletal pain (4.9%), and whole body pain (4.3%). The seven pain classes differed substantially with regard to sociodemographic characteristics, and showed meaningful associations to self-reported medical diseases. Spatial pain patterns predicted physical functioning better than social functioning. The results suggest that a meaningful classification of complex pain patterns may be based on a very simple measure of pain symptoms.

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
水蔓菁发布了新的文献求助30
1秒前
蒋复天发布了新的文献求助10
1秒前
sunshine发布了新的文献求助10
2秒前
xxx完成签到,获得积分10
2秒前
kkkkki完成签到,获得积分10
2秒前
gan发布了新的文献求助10
3秒前
从容的念柏完成签到,获得积分10
3秒前
3秒前
Aaron完成签到 ,获得积分10
3秒前
4秒前
江流石不转完成签到 ,获得积分10
4秒前
在水一方应助lizzy采纳,获得10
4秒前
5秒前
5秒前
5秒前
5秒前
魔芋不爽完成签到 ,获得积分10
6秒前
6秒前
6秒前
7秒前
7秒前
8秒前
xiaotong发布了新的文献求助10
8秒前
Paradox完成签到,获得积分10
9秒前
马户牙发布了新的文献求助10
9秒前
李里哩发布了新的文献求助10
11秒前
pu发布了新的文献求助10
11秒前
arnoan发布了新的文献求助10
11秒前
王敬顺完成签到,获得积分0
11秒前
犬饲发布了新的文献求助10
11秒前
学术laji发布了新的文献求助10
11秒前
盲点发布了新的文献求助10
12秒前
李健的小迷弟应助wsd采纳,获得10
13秒前
天天快乐应助光亮的元容采纳,获得10
13秒前
斯文123发布了新的文献求助10
15秒前
16秒前
16秒前
慕青应助实验一定顺采纳,获得10
17秒前
兔子完成签到 ,获得积分10
17秒前
18秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
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 5694761
求助须知:如何正确求助?哪些是违规求助? 5098681
关于积分的说明 15214483
捐赠科研通 4851292
什么是DOI,文献DOI怎么找? 2602253
邀请新用户注册赠送积分活动 1554141
关于科研通互助平台的介绍 1512049