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 [Lippincott Williams & Wilkins]
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.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
烟花发布了新的文献求助20
刚刚
乐乐应助刘欣然采纳,获得10
刚刚
冷艳宛白完成签到,获得积分10
刚刚
刚刚
顾矜应助Xxx采纳,获得10
刚刚
雷霆康康完成签到,获得积分10
刚刚
阿龙发布了新的文献求助10
刚刚
1秒前
红皮燕子发布了新的文献求助10
1秒前
思源应助paperman采纳,获得10
2秒前
王正龙发布了新的文献求助10
3秒前
ywang发布了新的文献求助10
3秒前
所所应助归尘采纳,获得10
4秒前
pk完成签到,获得积分10
4秒前
高挑的鹰完成签到,获得积分20
4秒前
sun1111发布了新的文献求助10
7秒前
杨杨发布了新的文献求助10
7秒前
7秒前
英吉利25发布了新的文献求助10
7秒前
SQQ完成签到,获得积分20
7秒前
浮游应助可靠板栗采纳,获得10
7秒前
8秒前
哭泣的缘郡完成签到,获得积分10
8秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
斯文败类应助金汐采纳,获得10
10秒前
星辰大海应助HmyGDUT采纳,获得10
11秒前
JamesPei应助满天星采纳,获得10
11秒前
爆米花应助陈先生采纳,获得10
11秒前
红皮燕子完成签到,获得积分10
12秒前
阿修罗完成签到,获得积分10
12秒前
12秒前
归尘发布了新的文献求助10
13秒前
WX完成签到,获得积分10
14秒前
14秒前
15秒前
小黑之家发布了新的文献求助10
15秒前
15秒前
完美世界应助哈哈哈采纳,获得10
15秒前
一团软绵绵应助王邦宁采纳,获得10
15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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
By R. Scott Kretchmar - Practical Philosophy of Sport and Physical Activity - 2nd (second) Edition: 2nd (second) Edition 666
Physical Chemistry: How Chemistry Works 500
SOLUTIONS Adhesive restoration techniques restorative and integrated surgical procedures 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4942107
求助须知:如何正确求助?哪些是违规求助? 4207873
关于积分的说明 13079673
捐赠科研通 3986881
什么是DOI,文献DOI怎么找? 2182779
邀请新用户注册赠送积分活动 1198476
关于科研通互助平台的介绍 1110773