Pediatric Chronic Pain: Biopsychosocial Assessment and Formulation

生物心理社会模型 慢性疼痛 医学 认知 社会文化进化 剧痛 前因(行为心理学) 临床心理学 认知心理学 发展心理学 物理疗法 精神科 心理学 社会学 人类学
作者
Christina Liossi,Richard F. Howard
出处
期刊:Pediatrics [American Academy of Pediatrics]
卷期号:138 (5): e20160331-e20160331 被引量:242
标识
DOI:10.1542/peds.2016-0331
摘要

Chronic pain in children is an increasingly recognized clinical problem with alarmingly high prevalence rates found in some populations. Although it is not understood why some children experience high levels of pain, the subjective experience of chronic pain (including its site, intensity, quality, unpleasantness, and associated suffering) has long been believed to result from interactions between multiple contributors, including nociceptive, affective, sociocultural, behavioral, and cognitive. Regardless of whether the antecedent of chronic pain is known or unknown, similar patterns of symptoms, behaviors, and disability are often seen. Historically, however, there has been an unhelpful tendency to dichotomize chronic pain as either physical or functional in origin. However, recent studies strongly support a biopsychosocial basis to all pain, revealing its sensory emotional nature by showing that large distributed neural networks are accessed during nociceptive processing. The development and maintenance of chronic pain involve long-term changes in multiple integrated peripheral, spinal, and brain regions interacting in a complex way to shape the individual's experience. Hence, chronic pain from any cause cannot be viewed as a purely physical or psychological phenomenon, nor should it be expected that a unimodal approach to treatment will succeed. It follows that when assessing children and young people with chronic pain, information on a wide range of developmentally relevant dimensions, conveniently classified as biological, psychological, and sociocultural, should be gathered to formulate the potential causes, contributors, and effects of pain to devise an appropriate multimodal management plan.

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
1秒前
徐卷卷发布了新的文献求助10
2秒前
友好靖巧发布了新的文献求助10
2秒前
单纯如柏发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
3秒前
Zn应助圣晟胜采纳,获得10
4秒前
JuJu发布了新的文献求助10
4秒前
lee完成签到,获得积分10
5秒前
科研通AI5应助华华采纳,获得30
5秒前
王鹏发布了新的文献求助30
6秒前
6秒前
7秒前
7秒前
klll发布了新的文献求助10
8秒前
忧郁的宝贝关注了科研通微信公众号
8秒前
8秒前
思敏发布了新的文献求助10
8秒前
SciGPT应助123采纳,获得10
9秒前
9秒前
Yue发布了新的文献求助10
11秒前
无花果应助尹宁采纳,获得10
11秒前
虚幻伯云发布了新的文献求助20
11秒前
重要的菲鹰完成签到 ,获得积分10
12秒前
科研通AI5应助哈哈哈采纳,获得10
12秒前
dreamboat发布了新的文献求助30
13秒前
13秒前
13秒前
13秒前
14秒前
宁萌不酸完成签到,获得积分10
14秒前
GYPP发布了新的文献求助10
14秒前
14秒前
阿燕发布了新的文献求助10
15秒前
Owen应助css采纳,获得10
15秒前
15秒前
老实大米完成签到,获得积分20
15秒前
JuJu完成签到,获得积分10
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3543260
求助须知:如何正确求助?哪些是违规求助? 3120651
关于积分的说明 9343550
捐赠科研通 2818657
什么是DOI,文献DOI怎么找? 1549757
邀请新用户注册赠送积分活动 722221
科研通“疑难数据库(出版商)”最低求助积分说明 713078