Effects of Metabolism-Related Indicators on Nonalcoholic Fatty Liver Disease in Nonobese Population Based on the National Health and Nutrition Examination Survey

IF 2.2 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
XingWang Zhu, HaiPing Wang, HongLong Zhang, Guole Nie, Jun Yan, Xun Li
{"title":"Effects of Metabolism-Related Indicators on Nonalcoholic Fatty Liver Disease in Nonobese Population Based on the National Health and Nutrition Examination Survey","authors":"XingWang Zhu,&nbsp;HaiPing Wang,&nbsp;HongLong Zhang,&nbsp;Guole Nie,&nbsp;Jun Yan,&nbsp;Xun Li","doi":"10.1155/2024/7081486","DOIUrl":null,"url":null,"abstract":"<p><i>Objective</i>. Nonalcoholic fatty liver disease (NAFLD) is becoming more prevalent in the nonobese population. The aim of this study was to investigate the combined effects of metabolism-related mixtures on NAFLD subjects in nonobese populations using four statistical models. <i>Study Design.</i> This was a retrospective observational study. <i>Methods.</i> Our study included 904 nonobese patients who had taken part in the 2017-2018 National Health and Nutrition Examination Survey (NHANES). We used logistic regression models, Bayesian kernel machine regression (BKMR), and the weighted quantile sum (WQS) regression model to estimate the association between metabolism-related indicators and NAFLD in the nonobese population. Finally, we included several indicators to create nomograms to predict the risk of NAFLD occurrence in the nonobese population. <i>Results</i>. Among the 904 participants, 116 (12.83%) had NAFLD. The logistic regression model found that the waist-to-hip ratio (WHR), HDL-c, triglyceride (TG), and HbA1c were positively associated with the outcomes. The WQS regression model showed that the WQS index was significantly associated with the occurrence of NAFLD in the nonobese population (OR: 5.789, 95% CI: 3.933–8.520), and WHR, TC, and TG had the largest weight. The BKMR model’s WHR and TG increased from the 25th percentile to the 75th percentile (other metabolite exposure remained fixed at the 75th percentile) and the risk of developing NAFLD increased in the nonobese people. The significant predictors mentioned above were introduced to construct the nomogram. The calibration curve, DCA, and AUROC (0.796) (95% CI: 0.743–0.843) all indicated that the model had a good potential clinical performance. <i>Conclusions</i>. By comparing the results of the four models together, WHR and TG were identified as important factors associated with NAFLD in the nonobese population. Further research is warranted to investigate the risk factors and pathogeny of NAFLD in nonobese populations.</p>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/7081486","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Objective. Nonalcoholic fatty liver disease (NAFLD) is becoming more prevalent in the nonobese population. The aim of this study was to investigate the combined effects of metabolism-related mixtures on NAFLD subjects in nonobese populations using four statistical models. Study Design. This was a retrospective observational study. Methods. Our study included 904 nonobese patients who had taken part in the 2017-2018 National Health and Nutrition Examination Survey (NHANES). We used logistic regression models, Bayesian kernel machine regression (BKMR), and the weighted quantile sum (WQS) regression model to estimate the association between metabolism-related indicators and NAFLD in the nonobese population. Finally, we included several indicators to create nomograms to predict the risk of NAFLD occurrence in the nonobese population. Results. Among the 904 participants, 116 (12.83%) had NAFLD. The logistic regression model found that the waist-to-hip ratio (WHR), HDL-c, triglyceride (TG), and HbA1c were positively associated with the outcomes. The WQS regression model showed that the WQS index was significantly associated with the occurrence of NAFLD in the nonobese population (OR: 5.789, 95% CI: 3.933–8.520), and WHR, TC, and TG had the largest weight. The BKMR model’s WHR and TG increased from the 25th percentile to the 75th percentile (other metabolite exposure remained fixed at the 75th percentile) and the risk of developing NAFLD increased in the nonobese people. The significant predictors mentioned above were introduced to construct the nomogram. The calibration curve, DCA, and AUROC (0.796) (95% CI: 0.743–0.843) all indicated that the model had a good potential clinical performance. Conclusions. By comparing the results of the four models together, WHR and TG were identified as important factors associated with NAFLD in the nonobese population. Further research is warranted to investigate the risk factors and pathogeny of NAFLD in nonobese populations.

基于全国健康与营养调查的代谢相关指标对非肥胖人群非酒精性脂肪肝的影响
目的。非酒精性脂肪肝(NAFLD)在非肥胖人群中越来越普遍。本研究的目的是利用四种统计模型调查代谢相关混合物对非肥胖人群中非酒精性脂肪肝受试者的综合影响。研究设计。这是一项回顾性观察研究。研究方法。我们的研究纳入了 904 名参加 2017-2018 年美国国家健康与营养调查(NHANES)的非肥胖患者。我们使用逻辑回归模型、贝叶斯核机器回归(BKMR)和加权量化和(WQS)回归模型来估计非肥胖人群中代谢相关指标与非酒精性脂肪肝之间的关联。最后,我们纳入了多项指标,绘制了预测非肥胖人群非酒精性脂肪肝发生风险的提名图。研究结果在 904 名参与者中,116 人(12.83%)患有非酒精性脂肪肝。逻辑回归模型发现,腰臀比(WHR)、高密度脂蛋白胆固醇(HDL-c)、甘油三酯(TG)和 HbA1c 与结果呈正相关。WQS回归模型显示,在非肥胖人群中,WQS指数与非酒精性脂肪肝的发生显著相关(OR:5.789,95% CI:3.933-8.520),WHR、TC和TG的权重最大。BKMR 模型的 WHR 和 TG 从第 25 百分位数增加到第 75 百分位数(其他代谢物暴露固定在第 75 百分位数),非肥胖人群患非酒精性脂肪肝的风险增加。在构建提名图时引入了上述重要的预测因子。校准曲线、DCA 和 AUROC (0.796) (95% CI: 0.743-0.843)均表明该模型具有良好的潜在临床表现。结论通过比较四个模型的结果,WHR 和 TG 被认为是非肥胖人群中与非酒精性脂肪肝相关的重要因素。有必要进一步研究非肥胖人群非酒精性脂肪肝的风险因素和病因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.30
自引率
0.00%
发文量
274
审稿时长
3-8 weeks
期刊介绍: IJCP is a general medical journal. IJCP gives special priority to work that has international appeal. IJCP publishes: Editorials. IJCP Editorials are commissioned. [Peer reviewed at the editor''s discretion] Perspectives. Most IJCP Perspectives are commissioned. Example. [Peer reviewed at the editor''s discretion] Study design and interpretation. Example. [Always peer reviewed] Original data from clinical investigations. In particular: Primary research papers from RCTs, observational studies, epidemiological studies; pre-specified sub-analyses; pooled analyses. [Always peer reviewed] Meta-analyses. [Always peer reviewed] Systematic reviews. From October 2009, special priority will be given to systematic reviews. [Always peer reviewed] Non-systematic/narrative reviews. From October 2009, reviews that are not systematic will be considered only if they include a discrete Methods section that must explicitly describe the authors'' approach. Special priority will, however, be given to systematic reviews. [Always peer reviewed] ''How to…'' papers. Example. [Always peer reviewed] Consensus statements. [Always peer reviewed] Short reports. [Always peer reviewed] Letters. [Peer reviewed at the editor''s discretion] International scope IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信