Ning Yu, Hu Xiaoting, Li Laifu, Zhuang Yan, Dai Fei
Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Front Nutr. 2025 Aug 18;12:1610214. doi: 10.3389/fnut.2025.1610214. eCollection 2025.
Prior studies have linked obesity indicators to constipation/diarrhea, but multi-measure comparisons remain limited. We analyzed these associations in U.S. adults.
This cross-sectional study utilized data from three cycles (2005-2010) of the National Health and Nutrition Examination Survey (NHANES). The final analysis included 13,105 participants after excluding those aged < 20 years or with missing data for any study variables. Bowel habits were categorized using the Bristol Stool Form Scale (BSFS). Multiple analytical approaches were employed: descriptive statistics, weighted multivariable logistic regression, weighted restricted cubic spline (RCS) analysis, subgroup analyses, and sensitivity analysis. We evaluated the diagnostic performance of various anthropometric indices-waist circumference (WC), body mass index (BMI), relative fat mass (RFM), body roundness index (BRI), weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), and a body shape index (ABSI)-for chronic diarrhea and constipation using receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC).
Weighted multivariable logistic regression revealed significant positive associations between seven obesity indicators and diarrhea (all < 0.05), with the highest odds ratios (ORs) observed in the top quartiles for WWI (OR = 1.937, 95% CI = 1.516-2.474, < 0.001) and RFM (OR = 1.870, 95% CI = 1.254-2.790, = 0.003). Meanwhile, RFM, BRI, WC, BMI, and WHtR showed significant inverse associations with constipation ( < 0.05), with the lowest ORs observed for the top quartiles of BMI (OR = 0.530, 95% CI = 0.408-0.689, < 0.001) and RFM (OR = 0.599, 95% CI = 0.409-0.879, = 0.011). By contrast, the top ABSI quartile exhibited a positive association with constipation (OR = 1.262, 95% CI = 1.014-1.571, = 0.038). ROC analysis indicated RFM as the most discriminative indicator for constipation (AUC = 0.577) and WWI for diarrhea (AUC = 0.614), respectively, among tested indices. RCS analysis demonstrated an inverse J-shaped relationship between RFM and constipation and a linear positive association between WWI and diarrhea. Subgroup analyses further validated the robust associations of RFM and WWI with intestinal disorders across strata of age, sex, race, smoking, drinking, sleep disturbances, diabetes, and depression. Sensitivity analyses yielded consistent results, supporting the stability of these findings.
The seven indicators are useful indicators for assessing intestinal disorders in U.S. adults, with RFM and WWI demonstrating the highest discriminative ability for constipation and diarrhea, respectively.
先前的研究已将肥胖指标与便秘/腹泻联系起来,但多指标比较仍然有限。我们在美国成年人中分析了这些关联。
这项横断面研究利用了国家健康与营养检查调查(NHANES)三个周期(2005 - 2010年)的数据。在排除年龄小于20岁或任何研究变量数据缺失的参与者后,最终分析纳入了13105名参与者。使用布里斯托大便分类法(BSFS)对排便习惯进行分类。采用了多种分析方法:描述性统计、加权多变量逻辑回归、加权受限立方样条(RCS)分析、亚组分析和敏感性分析。我们使用受试者工作特征(ROC)曲线分析和曲线下面积(AUC)评估了各种人体测量指标——腰围(WC)、体重指数(BMI)、相对脂肪量(RFM)、身体圆度指数(BRI)、体重调整腰围指数(WWI)、腰高比(WHtR)和身体形状指数(ABSI)——对慢性腹泻和便秘的诊断性能。
加权多变量逻辑回归显示,七个肥胖指标与腹泻之间存在显著正相关(均P < 0.05),在WWI(比值比[OR] = 1.937,95%置信区间[CI] = 1.516 - 2.474,P < 0.001)和RFM(OR = 1.870,95% CI = 1.254 - 2.790,P = 0.003)的最高四分位数中观察到最高的OR值。同时,RFM、BRI、WC、BMI和WHtR与便秘呈显著负相关(P < 0.05),在BMI(OR = 0.530,95% CI = 0.408 - 0.689,P < 0.001)和RFM(OR = 0.599,95% CI = 0.409 - 0.879,P = 0.011)的最高四分位数中观察到最低的OR值。相比之下,ABSI的最高四分位数与便秘呈正相关(OR = 1.262,95% CI = 1.014 - 1.571,P = 0.038)。ROC分析表明,在测试指标中,RFM分别是便秘的最具鉴别力指标(AUC = 0.577),WWI是腹泻的最具鉴别力指标(AUC = 0.614)。RCS分析表明,RFM与便秘之间呈倒J形关系,WWI与腹泻之间呈线性正相关。亚组分析进一步验证了RFM和WWI在年龄、性别、种族、吸烟、饮酒、睡眠障碍、糖尿病和抑郁症各层中与肠道疾病的稳健关联。敏感性分析得出了一致的结果,支持了这些发现的稳定性。
这七个指标是评估美国成年人肠道疾病的有用指标,RFM和WWI分别对便秘和腹泻具有最高的鉴别能力。