Association between oral frailty and nutritional status among hemodialysis patients aged ≥50 years

医学 血液透析 老年学 联想(心理学) 内科学 心理学 心理治疗师
作者
Masanori Iwasaki,Yuko Ohta,Natsuka Furusho,Satoko Kakuta,Kosuke Muraoka,Toshihiro Ansai,Shuji Awano,Masayo Fukuhara,Hidetoshi Nakamura
出处
期刊:Geriatrics & Gerontology International [Wiley]
卷期号:24 (9): 891-897 被引量:8
标识
DOI:10.1111/ggi.14947
摘要

AIM: Malnutrition is a prevalent health issue among hemodialysis patients. Oral frailty, a condition characterized by impairments in multiple oral health aspects and functions, has been associated with nutritional status in the general population. We aimed to determine whether oral frailty was associated with nutritional status in hemodialysis patients aged ≥50 years. Our secondary aim was to determine the prevalence of oral frailty in this population. METHODS: This cross-sectional study included hemodialysis patients who were admitted to a single medical center. According to the Oral Frailty 5-item Checklist, oral frailty is characterized by the presence of two or more of the following criteria: (i) fewer teeth, (ii) difficulty in chewing, (iii) difficulty in swallowing, (iv) dry mouth, and (v) low articulatory oral motor skills. Patients' nutritional status was assessed using the Geriatric Nutritional Risk Index (GNRI). Multivariable ordinal logistic regression analysis was performed to assess the association between oral frailty and nutritional status (classified into three categories according to the GNRI: >98, 92-98, and <92). RESULTS: In total, 152 hemodialysis patients (55 women and 97 men) with a mean age of 70.4 years were included. The prevalence of oral frailty was 61.2%. After adjusting for health characteristics and sociodemographic background, oral frailty was associated with poor nutritional status according to the GNRI (odds ratio = 2.04, 95% confidence interval = 1.02-4.09). CONCLUSIONS: In this study, approximately 60% of hemodialysis patients aged ≥50 years exhibited oral frailty, and hemodialysis patients with oral frailty had poor nutritional status according to the GNRI. Geriatr Gerontol Int 2024; 24: 891-897.
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
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
小二郎应助sunny采纳,获得20
刚刚
灵巧若颜完成签到,获得积分10
1秒前
1秒前
塘仔完成签到,获得积分10
1秒前
Swu发布了新的文献求助10
1秒前
蛇從革应助张莹莹采纳,获得30
1秒前
TOM完成签到,获得积分10
1秒前
Jasper完成签到,获得积分10
1秒前
天马行空完成签到,获得积分10
2秒前
kwangil完成签到,获得积分10
2秒前
2秒前
winkxixu完成签到 ,获得积分10
3秒前
thermotolerance完成签到,获得积分10
3秒前
贝北呗完成签到,获得积分10
3秒前
liao_duoduo完成签到 ,获得积分10
3秒前
zzx396完成签到,获得积分0
3秒前
lx应助普拉斯采纳,获得10
4秒前
全自动闯祸机完成签到,获得积分10
4秒前
brd完成签到,获得积分10
4秒前
李胖完成签到 ,获得积分10
4秒前
专一的书雪完成签到,获得积分10
4秒前
4秒前
陈文学完成签到,获得积分10
4秒前
kbyang完成签到,获得积分10
4秒前
王倩的老公完成签到 ,获得积分10
4秒前
清秀的曼岚完成签到 ,获得积分10
4秒前
Bella完成签到,获得积分10
5秒前
share完成签到 ,获得积分10
5秒前
5秒前
汉堡包应助机器机器学习采纳,获得10
5秒前
薛小飞完成签到 ,获得积分10
5秒前
5秒前
123完成签到,获得积分10
5秒前
翟奥楠发布了新的文献求助10
6秒前
彭于晏应助机器机器学习采纳,获得10
6秒前
辛勤誉完成签到,获得积分10
6秒前
小二郎应助机器机器学习采纳,获得10
6秒前
小小完成签到 ,获得积分10
6秒前
桐桐应助机器机器学习采纳,获得10
6秒前
单纯的乐曲完成签到,获得积分10
6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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Perfectionism in School: When Achievement Is not So Perfect 600
Organizational Behavior 510
Management and the Arts 510
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 7726551
求助须知:如何正确求助?哪些是违规求助? 9278777
关于积分的说明 20128833
捐赠科研通 7303554
什么是DOI,文献DOI怎么找? 3302207
关于科研通互助平台的介绍 2455582
邀请新用户注册赠送积分活动 2310118