Association of geriatric nutritional risk index with the risk of osteoporosis in the elderly population in the NHANES

骨质疏松症 医学 逻辑回归 风险因素 全国健康与营养检查调查 内科学 骨矿物 秩相关 人口 环境卫生 计算机科学 机器学习
作者
Wei Huang,Yingqi Xiao,Hongwei Wang,Kaixiang Li
出处
期刊:Frontiers in Endocrinology [Frontiers Media SA]
卷期号:13: 965487-965487 被引量:53
标识
DOI:10.3389/fendo.2022.965487
摘要

Background Osteoporosis is common in the elderly, and malnutrition is considered a major risk factor for osteoporosis. This study investigated the relationship between the Geriatric Nutrition Risk Index (GNRI) and osteoporosis based on a large cross-sectional study of the National Health and Nutrition Examination Survey (NHANES). Methods We included 7405 older adults from NHANES (2005 to 2018) and divided them into the High-GNRI and Low-GNRI groups based on GNRI levels to compare the prevalence of osteoporosis among the two groups. A multi-factor logistic regression analysis was used to determine whether GNRI was an independent risk factor for osteoporosis. Spearman’s rank correlation coefficient was computed to investigate the linear relationship between geriatric nutritional risk index (GNRI) and bone mineral density (BMD) T-score. Finally, a generalized additive model (GAM) revealed whether there was a non-linear relationship between GNRI and osteoporosis. Results The prevalence of osteoporosis was higher in the Low-GNRI group than those in the High-GNRI group (12.2% vs. 8.2%; P = 0.001). Similarly, the femoral neck BMD T-scores (-1.09 ± 1.42 vs. -0.91 ± 1.31; P = 0.003). However, there was no significant difference between Low-GNRI group and High-GNRI group in lumbar BMD T-scores (1.700 ± 1.69 vs 1.85 ± 1.72; P >0.05). The multi-factor logistic regression analysis identified low GNRI as an independent risk factor for osteoporosis (OR: 1.544; 95% CI: 1.179-2.022; P < 0.001). Besides, GNRI showed a positive linear correlation ( P < 0.001) with femoral neck BMD T-scores in older adults, with a progressive trend towards higher BMD as GNRI increased. By contrast, there was no linear correlation between GNRI and lumbar BMD T-score ( P = 0.978). Lastly, the dose response curve revealed the non-linear negative correlation between GNRI and the risk of osteoporosis in the elderly (non-linear P < 0.001). With the increase of GNRI, the risk of osteoporosis gradually decreased, especially when GNRI was greater than 100, the downward trend was more significant. Conclusion GNRI is an independent risk factor for osteoporosis in the elderly and is negatively and non-linearly associated with the risk of osteoporosis in the elderly population.
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
科目三应助zhj采纳,获得10
刚刚
张张zzz完成签到,获得积分10
刚刚
量子星尘发布了新的文献求助10
刚刚
Hello应助发文章12138采纳,获得10
1秒前
1秒前
孙浩洋发布了新的文献求助10
1秒前
LL关闭了LL文献求助
1秒前
春意盎然完成签到,获得积分10
1秒前
chenyao发布了新的文献求助10
1秒前
1秒前
1秒前
李扒皮完成签到,获得积分10
1秒前
所所应助你维好困采纳,获得10
2秒前
CodeCraft应助你维好困采纳,获得10
2秒前
吕亦寒完成签到,获得积分10
2秒前
Jasper应助清浅采纳,获得10
2秒前
whiteandpink098完成签到,获得积分10
2秒前
3秒前
3秒前
野性的牛排完成签到,获得积分10
3秒前
连长发布了新的文献求助10
3秒前
李健应助ernest采纳,获得10
3秒前
Jasper应助love454106采纳,获得10
4秒前
WTL完成签到,获得积分10
4秒前
追光者完成签到,获得积分10
5秒前
5秒前
赘婿应助萤火虫采纳,获得10
5秒前
hbb完成签到,获得积分20
6秒前
6秒前
Huang发布了新的文献求助10
7秒前
Akim应助1a采纳,获得10
7秒前
7秒前
婷123发布了新的文献求助10
7秒前
李爱国应助Voyage采纳,获得10
7秒前
材料小白发布了新的文献求助10
8秒前
德容发布了新的文献求助10
8秒前
怡然的魔镜完成签到,获得积分10
8秒前
Leon Lai发布了新的文献求助10
8秒前
辛勤雨柏完成签到,获得积分10
8秒前
汉堡包应助快乐电灯胆采纳,获得10
9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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
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 5667160
求助须知:如何正确求助?哪些是违规求助? 4884250
关于积分的说明 15118778
捐赠科研通 4826049
什么是DOI,文献DOI怎么找? 2583692
邀请新用户注册赠送积分活动 1537843
关于科研通互助平台的介绍 1496006