Physical activity and the osteoarthritis of the knee: A Mendelian randomization study

孟德尔随机化 医学 优势比 单核苷酸多态性 内科学 物理疗法 遗传学 基因型 生物 基因 遗传变异
作者
Xilong Ma,Kai Zhang,Chao Ma,Yahui Zhang,Jun Ma
出处
期刊:Medicine [Wolters Kluwer]
卷期号:103 (26): e38650-e38650 被引量:5
标识
DOI:10.1097/md.0000000000038650
摘要

Previous studies have reported an association between physical activity and the occurrence and progression of knee osteoarthritis (KOA). However, the existing evidence remains limited and of low-quality. This study aimed to examine the causal relationship between different levels of physical activity and KOA. Instrumental variables, represented by single nucleotide polymorphisms (SNPs), were utilized to capture sedentary behavior, appropriate physical exercise, and excessive physical activity. Aggregated statistics from the UK Biobank genome-wide association study dataset were used to assess the impact of these SNPs on KOA. Causality was estimated using inverse variance weighting (IVW), MR Egger, simple model, weighted median, and weighted model approaches. The stability of the results was assessed through heterogeneity and sensitivity analyses. Mendelian randomization (MR) analysis revealed a strong association between sedentary behavior and KOA, with an odds ratio (OR) of 2.096 (95% CI: 1.506–2.917) and a P value of 1.14 × 10 −5 . Appropriate physical exercise behavior exhibited a strong negative association with KOA, with an OR of 0.147 (95% CI: 0.037–0.582) and a P value of 0.006. Conversely, excessive physical activity behavior showed a significant positive association with KOA, with an OR of 2.162 (95% CI: 1.327–3.521) and a P value of .002. Our findings indicate that sedentary behavior and excessive physical activity are identified as risk factors for KOA, whereas engaging in appropriate physical exercise emerges as a protective factor against the development of KOA.

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
lvh111完成签到,获得积分10
1秒前
1AN完成签到,获得积分10
1秒前
Charlie0450发布了新的文献求助10
1秒前
SciGPT应助儒雅的十八采纳,获得10
2秒前
ELend完成签到,获得积分10
2秒前
无花果应助外向超短裙采纳,获得10
2秒前
2秒前
悦己发布了新的文献求助10
4秒前
277完成签到 ,获得积分10
4秒前
缥缈从霜完成签到,获得积分10
4秒前
niuniu完成签到,获得积分10
4秒前
sagitar应助轻轻采纳,获得20
4秒前
5秒前
orixero应助hhh采纳,获得10
5秒前
nininini完成签到,获得积分10
5秒前
CodeCraft应助留白采纳,获得10
5秒前
ysh完成签到,获得积分10
6秒前
李健应助俭朴台灯采纳,获得10
7秒前
7秒前
洛洛薇完成签到,获得积分10
8秒前
8秒前
小蘑菇应助wwq采纳,获得10
8秒前
judy123完成签到,获得积分10
8秒前
9秒前
9秒前
10秒前
10秒前
秦奎完成签到,获得积分10
10秒前
CYPCYP完成签到,获得积分10
10秒前
10秒前
科研dog完成签到 ,获得积分10
10秒前
11秒前
11秒前
小熊完成签到,获得积分10
13秒前
CYPCYP发布了新的文献求助10
13秒前
13秒前
123完成签到,获得积分10
13秒前
abu完成签到,获得积分10
13秒前
KK完成签到,获得积分10
14秒前
14秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7234424
求助须知:如何正确求助?哪些是违规求助? 8860016
关于积分的说明 18689038
捐赠科研通 6901571
什么是DOI,文献DOI怎么找? 3192560
关于科研通互助平台的介绍 2363214
邀请新用户注册赠送积分活动 2167070