Moving from nature to nurture: a systematic review and meta-analysis of environmental factors associated with juvenile idiopathic arthritis

先天与后天 医学 少年 荟萃分析 关节炎 免疫学 内科学 生态学 遗传学 生物
作者
Sarah L. N. Clarke,Katie Mageean,Ilaria Maccora,Sean Harrison,Gabriele Simonini,Gemma C. Sharp,Caroline L. Relton,Athimalaipet V Ramanan
出处
期刊:Rheumatology [Oxford University Press]
卷期号:61 (2): 514-530 被引量:18
标识
DOI:10.1093/rheumatology/keab627
摘要

Abstract Objectives JIA is the most common paediatric rheumatic disease, thought to be influenced by both genetics and the environment. Identifying environmental factors associated with disease risk will improve knowledge of disease mechanism and ultimately benefit patients. This review aimed to collate and synthesize the current evidence of environmental factors associated with JIA. Methods Four databases (MEDLINE, Embase, Web of Science and Cumulative Index to Nursing and Allied Health Literature) were searched from inception to January 2020. Study quality was rated using the Newcastle-Ottawa Scale. Pooled estimates for each environmental factor were generated using a random-effects, inverse-variance method, where possible. The remaining environmental factors were synthesized in narrative form. Results This review includes 66 environmental factors from 39 studies (11 cohort and 28 case-control studies) over 45 years. Study sample sizes ranged from 41 to 1.9 million participants. Eight environmental factors from ten studies were meta-analysed. Caesarean section delivery was associated with increased JIA risk [pooled odds ratio (OR) 1.11, 95% CI: 1.01, 1.22]. Conversely, presence (vs absence) of siblings (pooled OR 0.60, 95% CI: 0.44, 0.81) and maternal prenatal smoking (pooled OR 0.70, 95% CI: 0.58, 0.84) were associated with decreased JIA risk. Conclusion This review identifies several environmental factors associated with JIA and demonstrates the huge breadth of environmental research undertaken over five decades. We also highlight the challenges of combining data collected over this period due to limited between study comparability, evolution in healthcare and social practices, and changing environment, which warrant consideration when planning future studies.
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
czl完成签到,获得积分10
刚刚
彭于晏应助务实亦云采纳,获得10
刚刚
顾矜应助金百胜采纳,获得10
1秒前
CodeCraft应助一周八颗蛋采纳,获得10
1秒前
温柔可乐发布了新的文献求助10
1秒前
1秒前
LL66驳回了Ava应助
1秒前
井子肉发布了新的文献求助10
2秒前
打打应助猴子酱酱采纳,获得10
2秒前
小马甲应助手动滑稽采纳,获得10
2秒前
3秒前
谦让的秀完成签到,获得积分10
3秒前
3秒前
3秒前
4秒前
orixero应助yyx238666采纳,获得10
5秒前
5秒前
6秒前
7秒前
hjhj完成签到,获得积分10
7秒前
8秒前
8秒前
yq发布了新的文献求助10
9秒前
10秒前
大耳怪完成签到 ,获得积分10
10秒前
10秒前
10秒前
yiyi完成签到,获得积分10
10秒前
大刘给蔡宏达的求助进行了留言
11秒前
CipherSage应助研友_ZbP41L采纳,获得10
11秒前
Daniel发布了新的文献求助10
11秒前
prince发布了新的文献求助10
11秒前
Corleone发布了新的文献求助10
12秒前
小小发布了新的文献求助10
12秒前
奇衡三关注了科研通微信公众号
12秒前
Hello应助井子肉采纳,获得10
12秒前
13秒前
Hello应助学术laji采纳,获得10
13秒前
13秒前
田様应助酷炫的马里奥采纳,获得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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7623332
求助须知:如何正确求助?哪些是违规求助? 9198642
关于积分的说明 19719899
捐赠科研通 7194694
什么是DOI,文献DOI怎么找? 3273286
关于科研通互助平台的介绍 2435535
邀请新用户注册赠送积分活动 2268804