Association between the oxidative balance score and low muscle mass in middle-aged US adults

平衡(能力) 联想(心理学) 医学 体质指数 老年学 物理医学与康复 人口学 心理学 内科学 社会学 心理治疗师
作者
Kun Chen,Qiang Yin,Jinghong Guan,Jin Kuk Yang,Yuan Ma,Yu Feng Hu,Chan Chen,Wenwen Chen
出处
期刊:Frontiers in Nutrition [Frontiers Media]
卷期号:11
标识
DOI:10.3389/fnut.2024.1358231
摘要

Background Oxidative Balance Score (OBS) is a tool for assessing the oxidative stress-related exposures of diet and lifestyle. The study aimed to investigate the association between OBS and low muscle mass. Methods Overall, 6,307 individuals over the age of 18 were assessed using data from the 2011 to 2018 National Health and Nutrition Examination Survey (NHANES). Weighted logistic regression and models were used, together with adjusted models. Results There was a negative relationship between OBS and low muscle mass [odds ratio (OR): 0.96, 95% confidence interval (CI): 0.94–0.97, p < 0.0001] using the first OBS level as reference. The values (all 95% CI) were 0.745 (0.527–1.054) for the second level, 0.650 (0.456–0.927) for the third level, and 0.326 (0.206–0.514) for the fourth level (P for trend <0.0001). Independent links with low muscle mass were found for diet and lifestyle factors. A restricted cubic spline model indicated a non-linear association between OBS and low muscle mass risk (P for non-linearity<0.05). In addition, the inflection points of the nonlinear curves for the relationship between OBS and risk of low muscle mass were 20. Conclusion OBS and low muscle mass were found to be significantly negatively correlated. By modulating oxidative balance, a healthy lifestyle and antioxidant rich diet could be a preventive strategy for low muscle mass.

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
无语的麦片完成签到 ,获得积分10
刚刚
1秒前
2秒前
思源应助科研通管家采纳,获得10
2秒前
酷波er应助科研通管家采纳,获得10
2秒前
丘比特应助科研通管家采纳,获得10
3秒前
3秒前
Orange应助科研通管家采纳,获得10
3秒前
鹿笙发布了新的文献求助10
3秒前
gry真棒发布了新的文献求助10
6秒前
wu完成签到 ,获得积分10
6秒前
6秒前
8秒前
卡卡发布了新的文献求助10
11秒前
皇甫瑾瑜完成签到,获得积分10
12秒前
Haucicy完成签到,获得积分10
13秒前
14秒前
六六六大瓶完成签到,获得积分10
16秒前
zxy完成签到,获得积分10
17秒前
Haucicy发布了新的文献求助10
19秒前
20秒前
gry真棒完成签到,获得积分10
21秒前
鹿笙完成签到,获得积分10
21秒前
脸小呆呆完成签到 ,获得积分10
22秒前
23秒前
小李发布了新的文献求助10
24秒前
羊毛卷应助sunxb10采纳,获得10
27秒前
活力半蕾完成签到,获得积分10
27秒前
Viiigo完成签到,获得积分10
28秒前
小蘑菇应助Xhnz采纳,获得10
29秒前
大模型应助清脆的冰旋采纳,获得10
29秒前
赘婿应助典雅的依云采纳,获得10
30秒前
枯燥文献完成签到,获得积分10
32秒前
kirto完成签到 ,获得积分10
33秒前
lbw完成签到 ,获得积分10
34秒前
36秒前
大核桃发布了新的文献求助50
38秒前
科研通AI6.3应助乘风破浪采纳,获得10
39秒前
田様应助大大撒采纳,获得10
40秒前
41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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 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 7028012
求助须知:如何正确求助?哪些是违规求助? 8698296
关于积分的说明 18430179
捐赠科研通 6527646
什么是DOI,文献DOI怎么找? 3111604
关于科研通互助平台的介绍 2188835
邀请新用户注册赠送积分活动 2087168