Association between body composition and osteoarthritis: A systematic review and meta‐analysis

医学 优势比 置信区间 骨关节炎 瘦体质量 内科学 荟萃分析 体质指数 相对风险 队列研究 脂肪团 病理 体重 替代医学
作者
Huizhong Long,Dongxing Xie,Chao Zeng,Jie Wei,Yilun Wang,Tuo Yang,Bei Xu,Yuxuan Qian,Jiatian Li,Ziying Wu,Guanghua Lei
出处
期刊:International Journal of Rheumatic Diseases [Wiley]
卷期号:22 (12): 2108-2118 被引量:15
标识
DOI:10.1111/1756-185x.13719
摘要

Abstract Objectives To examine the association between body composition and osteoarthritis (OA). Methods An extensive literature review was performed to identify studies that examined the association between body composition and OA. The mean difference (MD), odds ratio (OR), relative risk (RR) and corresponding 95% confidence intervals (CIs) were determined using RevMan statistical software. Results A total of 19 studies were included. The combined MD showed the fat mass of the subjects with knee OA was higher than that of the control group (MD 4.38, 95% CI: 2.84‐5.92). Both fat mass and fat mass percentage were positively associated with knee OA (ORs ranged from 1.49, 95% CI: 1.15‐1.92, to 2.37, 95% CI: 1.18‐4.74). Similar findings were observed in hip and hand joints as well (ORs ranged from 1.20, 95% CI: 1.08‐1.32, to 1.87, 95% CI: 1.11‐3.15), and such results were also confirmed by most cohort studies of knee and hip OA (RRs ranged from 0.98, 95% CI: 0.95‐1.01, to 3.60, 95% CI: 2.60‐5.00). Lean mass was also positively associated with knee OA (OR 1.48, 95% CI: 1.13‐1.94). However, lean mass percentage was negatively associated with knee OA (OR 0.65, 95% CI: 0.46‐0.92). Conclusions Both fat mass and fat mass percentage were likely to be risk factors for knee, hip and hand OA. Similarly, lean mass also seemed to be a risk factor for knee OA, while lean mass percentage seemed to be a protective factor.

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
北斋完成签到,获得积分10
1秒前
wwwzy1996发布了新的文献求助10
1秒前
hbc8379发布了新的文献求助10
1秒前
聪明元蝶完成签到,获得积分10
3秒前
kk发布了新的文献求助10
4秒前
健壮傲芙发布了新的文献求助10
4秒前
5秒前
lwl666完成签到,获得积分10
5秒前
yao完成签到,获得积分10
7秒前
烂漫夜梦完成签到,获得积分10
8秒前
FashionBoy应助叶子采纳,获得10
9秒前
wanci应助小正采纳,获得10
10秒前
Tireastani应助赵云采纳,获得10
11秒前
13秒前
粗心的青旋完成签到,获得积分10
14秒前
16秒前
潼熙甄完成签到 ,获得积分10
17秒前
17秒前
Echo完成签到,获得积分10
17秒前
17秒前
18秒前
量子星尘发布了新的文献求助10
19秒前
叶子完成签到,获得积分10
19秒前
大模型应助呆萌蜻蜓采纳,获得10
20秒前
20秒前
yznfly应助山城小丸采纳,获得200
20秒前
Akim应助曾泳钧采纳,获得10
21秒前
21秒前
suliuyin发布了新的文献求助10
21秒前
21秒前
美好师完成签到,获得积分10
23秒前
元元完成签到 ,获得积分10
23秒前
24秒前
认真代曼发布了新的文献求助10
24秒前
开心发布了新的文献求助10
25秒前
wanci应助MMWang采纳,获得10
25秒前
26秒前
ZM发布了新的文献求助10
26秒前
27秒前
阿良发布了新的文献求助10
27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
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
ACOG Practice Bulletin: Polycystic Ovary Syndrome 500
Silicon in Organic, Organometallic, and Polymer Chemistry 500
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 5602687
求助须知:如何正确求助?哪些是违规求助? 4687724
关于积分的说明 14850920
捐赠科研通 4684930
什么是DOI,文献DOI怎么找? 2540020
邀请新用户注册赠送积分活动 1506783
关于科研通互助平台的介绍 1471445