Profiling schoolchildren in pain and associated demographic and behavioural factors: A latent class approach

潜在类模型 头痛 医学 肌肉骨骼痛 物理疗法 颈部疼痛 入射(几何) 横断面研究 精神科 替代医学 统计 物理 数学 病理 光学
作者
Gary Adamson,Sam Murphy,Mark Shevlin,Peter Buckle,David Stubbs
出处
期刊:Pain [Lippincott Williams & Wilkins]
卷期号:129 (3): 295-303 被引量:47
标识
DOI:10.1016/j.pain.2006.10.015
摘要

Musculoskeletal pain in adolescence is common and individuals frequently report pain in different sites. However, statistical analysis is often limited to considering one or a few pain sites. In this study latent class analysis was used to classify individuals into latent classes in terms of their patterns of endorsing ten musculoskeletal sites. Previously established covariates of musculoskeletal pain in adolescents were then assessed across emergent latent classes. The study was a cross sectional survey of adolescents attending post-primary schools in England. A total of 679 took part in the study with an age range from 11 to 14 years. Pain was operationalised as the occurrence of pain for one day or more in the past month. Schoolchildren self-reported on the incidence of pain aided by a nordic manikin. A three-class model emerged as the best fit. Classes were labelled ‘Pain free’ (63.4%), ‘Neck and back’ pain (28.2%) and ‘Widespread’ pain (8.4%). The ‘Widespread’ pain class was significantly related with Age (OR = 1.79; 95%CI 1.24–2.57), Sex (OR = 0.35, 95%CI 0.16–0.79), bag weight to body weight (OR = 1.12, 95%CI 1.03–1.22), bag carrying method (OR = 2.08, 95%CI 1.08–3.97), Schoolwork difficult (OR = 2.78, 95%CI 1.27–6.07), and headaches (OR = 2.13, 95%CI 1.65–2.76). While Strengths and Difficulties Questionnaire scores (OR = 1.05, 95%CI 1.01–1.11), and Headaches (OR = 1.78, 95%CI 1.39–2.26) were significant for the ‘Back and neck’ class. It is suggested that research should seek to identify typical pain profiles for adolescents, rather than concentrating on specific pain sites since some risk factors may be obscured or inflated by inappropriately amalgamating or segregating pain sites.
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
虚拟初之完成签到,获得积分10
刚刚
17完成签到,获得积分10
1秒前
袁同学完成签到,获得积分10
1秒前
11完成签到,获得积分10
1秒前
1秒前
1秒前
yalin发布了新的文献求助10
1秒前
谨慎青枫完成签到,获得积分10
2秒前
风趣霆发布了新的文献求助50
2秒前
2秒前
蓝莓酥study完成签到,获得积分10
2秒前
努力努力再努力完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
琪琪完成签到,获得积分10
3秒前
3秒前
4秒前
cg7发布了新的文献求助10
4秒前
77完成签到,获得积分10
4秒前
何佳完成签到,获得积分10
4秒前
老约翰尼发布了新的文献求助10
4秒前
5秒前
pig_chivalrous完成签到,获得积分10
5秒前
澎鱼盐完成签到,获得积分10
5秒前
77完成签到,获得积分10
5秒前
5秒前
大秦骑兵发布了新的文献求助10
5秒前
mjlink发布了新的文献求助10
5秒前
6秒前
orange发布了新的文献求助10
6秒前
yalin完成签到,获得积分10
7秒前
在水一方应助清爽朋友采纳,获得10
7秒前
Hilda007应助鳄鱼不做饿梦采纳,获得10
7秒前
wenzheng发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
8秒前
深情安青应助哭泣又柔采纳,获得10
8秒前
8秒前
文静翅膀发布了新的文献求助10
8秒前
一只滦完成签到,获得积分10
8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
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 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 5067949
求助须知:如何正确求助?哪些是违规求助? 4289689
关于积分的说明 13364572
捐赠科研通 4109436
什么是DOI,文献DOI怎么找? 2250320
邀请新用户注册赠送积分活动 1255685
关于科研通互助平台的介绍 1188198