Association between relative fat mass and gallstones: a cross-sectional study based on NHANES 2017-2020.

IF 4 2区 农林科学 Q2 NUTRITION & DIETETICS Frontiers in Nutrition Pub Date : 2025-02-19 eCollection Date: 2025-01-01 DOI:10.3389/fnut.2025.1554659
Chaofeng Gao, Yanan Li, Xuan Ren, Wei Han
{"title":"Association between relative fat mass and gallstones: a cross-sectional study based on NHANES 2017-2020.","authors":"Chaofeng Gao, Yanan Li, Xuan Ren, Wei Han","doi":"10.3389/fnut.2025.1554659","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gallstones are a common gastrointestinal disease worldwide, associated with significant public health burdens. Obesity and fat distribution are recognized as major risk factors for gallstone formation, yet traditional anthropometric indices such as BMI and WC have limitations in reflecting fat distribution and its metabolic consequences. Relative Fat Mass (RFM), a novel anthropometric index, may provide more accurate predictions of gallstone risk, but its association with gallstone formation remains underexplored.</p><p><strong>Methods: </strong>This study utilized data from NHANES 2017-2020, including 6,084 participants aged ≥20 years, to investigate the relationship between RFM and gallstone risk. Multivariable logistic regression and smooth curve fitting were used to assess this association. RFM's predictive ability was compared with traditional indices using ROC and decision curve analysis (DCA). LASSO regression and AIC-based multivariable regression were employed to construct a gallstone risk prediction model.</p><p><strong>Results: </strong>Each one-unit increase in RFM was associated with a 11% higher risk of gallstones (OR: 1.11; 95% CI: 1.08-1.13). The smooth curve fitting revealed a linear relationship between RFM and gallstones. RFM demonstrated superior predictive ability (AUC = 0.705) compared to BMI, WC, WWI, and BRI. The predictive model, incorporating age, RFM, diabetes, waist circumference, and alcohol consumption, achieved good performance (AUC = 0.738) with sensitivity and specificity of 70 and 66%, respectively.</p><p><strong>Conclusion: </strong>RFM is strongly associated with gallstone risk and outperforms traditional anthropometric measures in risk prediction. The study presents a model that serves as a useful instrument for recognizing populations at elevated risk and facilitating focused interventions, especially among those with a prevalent occurrence of obesity and metabolic disturbances. These findings support the potential of RFM as an effective measure in clinical and public health settings for reducing the burden of gallstone-related diseases.</p>","PeriodicalId":12473,"journal":{"name":"Frontiers in Nutrition","volume":"12 ","pages":"1554659"},"PeriodicalIF":4.0000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11879834/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Nutrition","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fnut.2025.1554659","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Gallstones are a common gastrointestinal disease worldwide, associated with significant public health burdens. Obesity and fat distribution are recognized as major risk factors for gallstone formation, yet traditional anthropometric indices such as BMI and WC have limitations in reflecting fat distribution and its metabolic consequences. Relative Fat Mass (RFM), a novel anthropometric index, may provide more accurate predictions of gallstone risk, but its association with gallstone formation remains underexplored.

Methods: This study utilized data from NHANES 2017-2020, including 6,084 participants aged ≥20 years, to investigate the relationship between RFM and gallstone risk. Multivariable logistic regression and smooth curve fitting were used to assess this association. RFM's predictive ability was compared with traditional indices using ROC and decision curve analysis (DCA). LASSO regression and AIC-based multivariable regression were employed to construct a gallstone risk prediction model.

Results: Each one-unit increase in RFM was associated with a 11% higher risk of gallstones (OR: 1.11; 95% CI: 1.08-1.13). The smooth curve fitting revealed a linear relationship between RFM and gallstones. RFM demonstrated superior predictive ability (AUC = 0.705) compared to BMI, WC, WWI, and BRI. The predictive model, incorporating age, RFM, diabetes, waist circumference, and alcohol consumption, achieved good performance (AUC = 0.738) with sensitivity and specificity of 70 and 66%, respectively.

Conclusion: RFM is strongly associated with gallstone risk and outperforms traditional anthropometric measures in risk prediction. The study presents a model that serves as a useful instrument for recognizing populations at elevated risk and facilitating focused interventions, especially among those with a prevalent occurrence of obesity and metabolic disturbances. These findings support the potential of RFM as an effective measure in clinical and public health settings for reducing the burden of gallstone-related diseases.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Frontiers in Nutrition
Frontiers in Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
5.20
自引率
8.00%
发文量
2891
审稿时长
12 weeks
期刊介绍: No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.
期刊最新文献
Development of nutrient-rich complementary foods using locally sourced ingredients for low-income households in Eastern Ethiopia. Exploring factors that influence the knowledge and awareness of breastfeeding among Saudi mothers: a qualitative study. Nutritional imbalances among university students and the urgent need for educational and nutritional interventions. The nonlinear association of ratio of total cholesterol to high density lipoprotein with cognition ability: evidence from a community cohort in China. Factors influencing nutrition literacy in patients of colorectal cancer: a cross-sectional study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1