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
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
刚刚
量子星尘发布了新的文献求助10
刚刚
tinner完成签到,获得积分10
1秒前
buno发布了新的文献求助10
2秒前
完美世界应助YCleeeee采纳,获得10
2秒前
汉堡包应助YAN采纳,获得10
2秒前
4秒前
量子星尘发布了新的文献求助10
4秒前
6秒前
桐桐应助3号球衣采纳,获得10
7秒前
7秒前
CCTwoo完成签到,获得积分10
9秒前
挽晨完成签到 ,获得积分10
9秒前
酷波er应助ZKai采纳,获得10
9秒前
关中人完成签到,获得积分10
9秒前
zf2023发布了新的文献求助30
10秒前
可爱的函函应助牛牛采纳,获得10
10秒前
12秒前
14秒前
16秒前
17秒前
慕青应助whytcs采纳,获得10
17秒前
17秒前
东都哈士奇完成签到,获得积分10
17秒前
一叶知秋完成签到,获得积分10
18秒前
18秒前
LYF000666发布了新的文献求助10
18秒前
量子星尘发布了新的文献求助10
19秒前
量子星尘发布了新的文献求助10
19秒前
LMZ发布了新的文献求助30
20秒前
Ava应助依米zhang采纳,获得30
21秒前
21秒前
21秒前
MYC007完成签到 ,获得积分10
21秒前
21秒前
zeng完成签到,获得积分20
22秒前
siv关闭了siv文献求助
23秒前
小七发布了新的文献求助10
23秒前
Owen应助LMZ采纳,获得30
23秒前
酷波er应助cjjwei采纳,获得10
24秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 25000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
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 5705070
求助须知:如何正确求助?哪些是违规求助? 5160498
关于积分的说明 15243798
捐赠科研通 4858886
什么是DOI,文献DOI怎么找? 2607466
邀请新用户注册赠送积分活动 1558571
关于科研通互助平台的介绍 1516188