Chen Shiming, Zhang Jingxia, Niu Yingxue, Li Yifang
College of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Laboratory of Geriatric Nursing and Health, Anhui University of Chinese Medicine, Hefei, China.
Front Med (Lausanne). 2025 Jul 29;12:1593571. doi: 10.3389/fmed.2025.1593571. eCollection 2025.
BACKGROUND: Studies have confirmed that obesity is an antecedent of chronic diarrhoea, and new evidence suggests that visceral fat accumulation may play a more critical role than total body fat in intestinal dysfunction and the development of chronic diarrhoea. Traditional body mass index (BMI) does not accurately reflect fat distribution, limiting the depth of relevant research. Body shape index (ABSI) and body rounding index (BRI), as emerging measurements that more accurately assess abdominal and visceral adiposity, have shown superior predictive value to BMI in cardiovascular and metabolic diseases. However, the use of these metrics in the prediction of chronic diarrhoea has not been explored. This study is the first to investigate the relationship between ABSI and BRI and chronic diarrhoea, aiming to provide a new clinical tool for risk assessment of obesity-related diarrhoea. METHODS: This study used data from the Bowel Health Questionnaire (BHQ) of the U.S. National Health Examination Survey (NHANES) database (2005-2010), and chronic diarrhoea was defined as "chronic diarrhoea" by the Bristol Stool Scale (BSFS) types 6 andI7(4). Weighted logistic regression and trend analyses were performed to examine the association between ABSI/BRI and chronic diarrhoea. Flexible restricted cubic spline (RCS) models showed dynamic associations. Stratified analyses examined associations between age, gender, race, and clinical characteristics (e.g., cardiovascular disease, diabetes, hypertension). Receiver operating characteristic (ROC) curves assessed the predictive performance of ABSI/BRI for risk of chronic diarrhoea. RESULTS: Multivariate regression models with time-trend analyses indicated a dose-response relationship between higher BRI percentiles and the incidence of chronic diarrhoea. 13% per unit increase in BRI (OR = 1.13, 95% CI = 1.08-1.19, < 0.001). Similarly, there was a 35% increase in risk for each 0.01 unit increase in ABSI (OR = 1.35, 95% CI = 1.01-1.80, = 0.045), suggesting that those with higher ABSI were at higher risk. Subgroup analyses showed no significant interaction effect between BRI and chronic diarrhoea across age, sex, race, cardiovascular disease, diabetes, and hypertension ( > 0.050). The ROC confirmed the nonlinear association between ABSI/BRI and chronic diarrhoea. CONCLUSION: The objective of this study was to investigate the association between two novel abdominal fat indicators (ABSI and BRI) and chronic diarrhoea using nationally representative NHANES data (2005-2010). For the first time, we have identified ABSI and BRI as potentially useful clinical predictors of chronic diarrhoea.
背景:研究证实肥胖是慢性腹泻的一个前期因素,并且新证据表明,在内脏功能障碍和慢性腹泻的发展过程中,内脏脂肪堆积可能比全身脂肪起着更关键的作用。传统的体重指数(BMI)不能准确反映脂肪分布,限制了相关研究的深度。体型指数(ABSI)和身体圆润指数(BRI)作为能更准确评估腹部和内脏肥胖的新兴测量指标,在心血管和代谢疾病中已显示出比BMI更高的预测价值。然而,尚未探索这些指标在预测慢性腹泻方面的应用。本研究首次调查ABSI和BRI与慢性腹泻之间的关系,旨在为肥胖相关腹泻的风险评估提供一种新的临床工具。 方法:本研究使用了美国国家健康检查调查(NHANES)数据库(2005 - 2010年)中肠道健康问卷(BHQ)的数据,慢性腹泻根据布里斯托大便分类法(BSFS)6型和7型定义为“慢性腹泻”。进行加权逻辑回归和趋势分析以检验ABSI/BRI与慢性腹泻之间的关联。灵活受限立方样条(RCS)模型显示了动态关联。分层分析检查了年龄、性别、种族和临床特征(如心血管疾病、糖尿病、高血压)之间的关联。受试者工作特征(ROC)曲线评估了ABSI/BRI对慢性腹泻风险的预测性能。 结果:带有时间趋势分析的多变量回归模型表明,较高的BRI百分位数与慢性腹泻发病率之间存在剂量反应关系。BRI每增加一个单位,增加13%(OR = 1.13,95%CI = 1.08 - 1.19,P < 0.001)。同样,ABSI每增加0.01个单位,风险增加35%(OR = 1.35,95%CI = 1.01 - 1.80,P = 0.045),表明ABSI较高者风险更高。亚组分析显示,在年龄、性别、种族、心血管疾病、糖尿病和高血压方面,BRI与慢性腹泻之间没有显著的交互作用(P > 0.050)。ROC证实了ABSI/BRI与慢性腹泻之间的非线性关联。 结论:本研究的目的是使用具有全国代表性的NHANES数据(2005 - 2010年)调查两种新型腹部脂肪指标(ABSI和BRI)与慢性腹泻之间的关联。我们首次确定ABSI和BRI为慢性腹泻潜在有用的临床预测指标。
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