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身体圆润度指数与慢性腹泻和慢性便秘的关联:基于2005 - 2010年美国国家健康和营养检查调查数据的研究结果

Association of the body roundness index with chronic diarrhea and chronic constipation: findings based on the National Health and Nutrition Examination Survey 2005-2010 data.

作者信息

Wang Yinda, Chen Fei, Zhang Binzhong, Song Zhengwei

机构信息

Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 North Huancheng Road, Jiaxing, Zhejiang, 314000, P.R. China.

Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 North Huancheng Road, Jiaxing, Zhejiang, 314000, P.R. China.

出版信息

Lipids Health Dis. 2025 Jan 31;24(1):33. doi: 10.1186/s12944-025-02451-7.

DOI:10.1186/s12944-025-02451-7
PMID:39891178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11783814/
Abstract

AIM

The study aimed to explore potential links between long-term digestive issues (specifically diarrhea and constipation) and body roundness index (BRI) in a representative U.S. population sample.

METHODS

This study adopted a design that is cross sectional, drawing on data from the NHANES, gathered from 2005 to 2010 with health information from a total of 11,235 individuals. Persistent bowel movement patterns were categorized based on the BSFS-Bristol Stool Form Scale, while stool types 1 and 2 were designated as indicators of long-term constipation and types 6 and 7 were identified as markers of persistent diarrhea. To assess the relationship between digestive health and the BRI, this study employed weighted logistic regression analysis. To capture and visualize the nuanced interplay between BRI and gastrointestinal patterns, we utilized advanced nonlinear regression methods, specifically restricted cubic spline (RCS) analyses. Additionally, the research compared the efficacy of various physical measurements-including BRI, WC, BMI (body roundness index, waist circumference, and body mass index, respectively)-to determine their respective diagnostic power for chronic diarrhea and constipation through comparative analysis of receiver operating characteristic (ROC) curves.

RESULTS

After comprehensive adjustment in the final statistical model (Model 3), the BRI demonstrated the statistically significant associations with diarrhea and persistent constipation. RCS analysis further uncovered statistically significant nonlinear positive associations of BRI and with diarrhea (P = 0.005) and constipation (P = 0.037). Further stratified analyses revealed that the relationship between BRI and persistent diarrhea was particularly evident among individuals with diabetes. In contrast, the association between BRI and constipation was stronger in individuals under 60 years of age. ROC analysis indicated that BRI outperformed conventional anthropometric measures (AUC, area under the curve: 0.601). Specifically, BMI resulted in an AUC of 0.569, while WC produced an AUC of 0.572. However, the AUC value of BRI (0.537) was less effective than BMI (0.551) and WC (0.570) in diagnosing constipation.

CONCLUSIONS

BRI is strongly associated with changes in the individual's bowel habits, particularly in diagnosing chronic diarrhea. This study highlighted the potential significance of maintaining moderate BRI levels to improve bowel health and prevent diarrhea.

摘要

目的

本研究旨在探讨美国代表性人群样本中,长期消化问题(特别是腹泻和便秘)与身体圆润度指数(BRI)之间的潜在联系。

方法

本研究采用横断面设计,利用美国国家健康与营养检查调查(NHANES)2005年至2010年收集的数据,共涉及11,235人的健康信息。根据布里斯托大便分类法(BSFS)对持续的排便模式进行分类,其中1型和2型粪便被指定为长期便秘的指标,6型和7型粪便被确定为持续性腹泻的标志。为了评估消化健康与BRI之间的关系,本研究采用加权逻辑回归分析。为了捕捉并可视化BRI与胃肠道模式之间的细微相互作用,我们使用了先进的非线性回归方法,特别是受限立方样条(RCS)分析。此外,该研究比较了各种身体测量指标(分别为身体圆润度指数、腰围和体重指数)的功效,通过比较受试者工作特征(ROC)曲线,确定它们对慢性腹泻和便秘的各自诊断能力。

结果

在最终统计模型(模型3)进行全面调整后,BRI显示出与腹泻和持续性便秘具有统计学意义的关联。RCS分析进一步发现BRI与腹泻(P = 0.005)和便秘(P = 0.037)之间存在统计学意义的非线性正相关。进一步的分层分析显示,BRI与持续性腹泻之间的关系在糖尿病患者中尤为明显。相比之下,BRI与便秘之间的关联在60岁以下人群中更强。ROC分析表明,BRI优于传统人体测量指标(曲线下面积:0.601)。具体而言,体重指数的曲线下面积为0.569,腰围的曲线下面积为0.572。然而,BRI的曲线下面积值(0.537)在诊断便秘方面不如体重指数(0.551)和腰围(0.570)有效。

结论

BRI与个体排便习惯的变化密切相关,尤其是在诊断慢性腹泻方面。本研究强调了维持适度BRI水平对改善肠道健康和预防腹泻的潜在重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/a60d53a022df/12944_2025_2451_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/aa2132117a68/12944_2025_2451_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/34f3bdcab958/12944_2025_2451_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/bc634eb8bbfa/12944_2025_2451_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/a60d53a022df/12944_2025_2451_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/aa2132117a68/12944_2025_2451_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/34f3bdcab958/12944_2025_2451_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/bc634eb8bbfa/12944_2025_2451_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7b/11783814/a60d53a022df/12944_2025_2451_Fig4_HTML.jpg

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