The Mini Nutritional Assessment combined with body fat for detecting the risk of sarcopenia and sarcopenic obesity in metabolic syndrome

肌萎缩 肌萎缩性肥胖 医学 肥胖 内科学 营养不良 物理疗法 双重能量 骨质疏松症 骨矿物
作者
Chi‐Hua Yen,Yi-Wen Lee,Wei-Jung Chang,Ping‐Ting Lin
出处
期刊:British Journal of Nutrition [Cambridge University Press]
卷期号:: 1-9 被引量:1
标识
DOI:10.1017/s0007114524000369
摘要

Abstract Malnutrition is a key factor in metabolic syndrome (MS) and sarcopenia, assessing the nutritional status of these patients is a pressing issue. The purpose of this study was to clarify sarcopenia and sarcopenic obesity in patients with MS based on nutritional status. This was a case–control study between MS/non-MS. Body composition was measured by dual-energy X-ray absorptiometry. Muscle function was assessed by handgrip strength, five times sit-to-stand test, gait speed test and short physical performance battery (SPPB). The Mini Nutritional Assessment (MNA) was performed to assess the nutritional status in the participants in this study. Overall, a total of 56 % and 13 % of participants suffered from possible sarcopenia and sarcopenia, respectively. There was a higher rate of possible sarcopenic obesity in the MS group than in the non-MS group (48·9 % v . 24·7 %, P < 0·01), and all the sarcopenia participants in the MS group had sarcopenic obesity. MNA score was significantly associated with sarcopenia status ( P < 0·01). The MNA combined with body fat score showed better acceptable discrimination for detecting sarcopenic obesity and sarcopenia in MS (AUC = 0·70, 95 % CI 0·53, 0·86). In summary, there was a higher prevalence of possible sarcopenic obesity in MS, and all the MS patients with sarcopenia had sarcopenic obesity in the present study. We suggest that the MNA should be combined with body fat percentage to assess the nutritional status of MS participants, and it also serves as a good indicator for sarcopenia and sarcopenic obesity in MS.
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
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
Berg888完成签到,获得积分10
1秒前
1秒前
陈陈发布了新的文献求助10
1秒前
思源应助leezh采纳,获得10
2秒前
lbt1686666完成签到,获得积分10
3秒前
Owen应助我要发nature采纳,获得10
3秒前
drhx完成签到,获得积分10
3秒前
FashionBoy应助乐观的阿伟采纳,获得10
3秒前
学术学习发布了新的文献求助10
4秒前
隐形曼青应助一只智慧喵采纳,获得10
6秒前
7秒前
111关闭了111文献求助
9秒前
lan完成签到,获得积分10
9秒前
学术羊完成签到,获得积分10
10秒前
11秒前
14秒前
JingP完成签到,获得积分10
14秒前
17秒前
天玄一刀完成签到,获得积分10
18秒前
大模型应助啦啦啦采纳,获得10
18秒前
大帅哥发布了新的文献求助10
20秒前
lx关闭了lx文献求助
21秒前
21秒前
23秒前
汉堡包应助大帅哥采纳,获得10
23秒前
23秒前
天天快乐应助连鹰采纳,获得10
23秒前
24秒前
华仔应助健忘芷珊采纳,获得10
25秒前
马世博发布了新的文献求助20
25秒前
26秒前
27秒前
kkkk发布了新的文献求助10
28秒前
pqy完成签到,获得积分10
28秒前
gtt发布了新的文献求助10
29秒前
111关闭了111文献求助
30秒前
31秒前
Sanction发布了新的文献求助10
31秒前
lx完成签到,获得积分20
33秒前
Zoo应助派大健采纳,获得30
33秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Semantics for Latin: An Introduction 1099
醤油醸造の最新の技術と研究 1000
Plutonium Handbook 1000
Three plays : drama 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 640
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 530
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4110698
求助须知:如何正确求助?哪些是违规求助? 3649106
关于积分的说明 11557960
捐赠科研通 3354352
什么是DOI,文献DOI怎么找? 1842873
邀请新用户注册赠送积分活动 909091
科研通“疑难数据库(出版商)”最低求助积分说明 825936