Evidence map›Paper›PMID 41604091›Full record

ArticleDigestive diseases and sciences2026

Association Between Chronic Diarrhea and Relative Fat Mass: A Cross-Sectional Study Based on NHANES.

Kunlong Yang, Qiao Chen, Maoyuan Zhang, Haiping Zhang, Jingtong Zhang, Sihao Chen, Jiyun Zhang, Chunmei Chen, Ting Zhou, Min Ye and 3 more

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Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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13 authors.

Kunlong Yang *Guangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Qiao Chen *The Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou, 545000, Guangxi, China. pkq215765@qq.com.
Maoyuan ZhangGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Haiping ZhangCollege of Science, Guangxi University of Science and Technology, Liuzhou, 545000, Guangxi, China.
Jingtong ZhangGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Sihao ChenGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Jiyun ZhangGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Chunmei ChenGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Ting ZhouGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Min YeGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Tingting MoGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Chuwen ZhongGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.
Yijing ChenGuangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelative Fat Mass (RFM), a simple metric calculated from height and waist circumference, is used to estimate total body fat percentage and is often considered a more precise indicator of adiposity than Body Mass Index (BMI). While RFM is a promising metric for assessing obesity and its associated health risks, its association with diarrhea remains poorly understood. Therefore, this study aimed to examine the link between RFM and diarrhea prevalence by analyzing data from the 2005-2010 National Health and Nutrition Examination Survey (NHANES).

resultsSignificant differences were observed between individuals with and without diarrhea regarding age, sex, educational attainment, poverty-income ratio (PIR), marital status, BMI, smoking status, diabetes, hypertension, physical activity, and RFM levels. Logistic regression analysis showed that each 1-unit increase in RFM was associated with a 7% higher risk of diarrhea (OR: 1.07, 95% CI: 1.03-1.11, P < 0.001). In quartile analysis, participants in the highest RFM quartile (Q4) had 2.39 times higher odds of diarrhea compared to the lowest quartile (Q1) (OR: 2.39, 95% CI: 1.24-4.61, P = 0.012). Subgroup analyses suggested that the association was more pronounced in populations with higher BMI and higher levels of physical activity. The ROC analysis yielded an AUC of 0.59 (95% CI: 0.57-0.61), indicating modest predictive value of RFM for diarrhea.

conclusionThis study reveals that higher RFM is significantly associated with increased diarrhea prevalence, particularly among physically active individuals and those with elevated BMI. While RFM demonstrates modest predictive capability, these findings highlight its potential utility in identifying obesity-related gastrointestinal risks within diverse populations.

Indexed as

AdiposityDiarrheaObesityAdultBody Mass IndexChronic DiseaseCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesDiarrheaLogistic regressionNHANESRelative fat massROC analysis

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