Evidence map›Paper›PMID 39085333›Full record

ArticleScientific reports2024

Association between weight-adjusted-waist index and bowel habits.

Xiaoxian Yang, Zhiguang Sun

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Xiaoxian YangFirst Clinical Medical College, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, China.
Zhiguang SunFirst Clinical Medical College, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, China. zhiguangsun@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has become a global public health issue and is closely related to bowel habits. The Weight-Adjusted-Waist Index (WWI), a new indicator of obesity, provides a more accurate assessment of central obesity. This study aims to investigate the relationship between WWI and bowel habits. The 2005-2010 National Health and Nutrition Examination Survey (NHANES) dataset was used for the cross-sectional survey. Bowel habits were defined by self-report. Multiple logistic regression models were used to test the linear association of WWI with chronic diarrhea and constipation. Fitted smoothed curves and threshold effects analysis were used to characterize nonlinear relationships. Subgroup analyses and interaction tests were used to determine the heterogeneity and stability of the study. This population-based study included 14,238 adults (≥ 20 years). After adjusting for covariates, there was a significant positive association between WWI and chronic diarrhea (OR [95% CI] 1.27 [1.14, 1.41]). There was a non-linear association between WWI and chronic constipation, and we found a breakpoint of 9.77, with a positive correlation on the left side of the breakpoint and no statistical significance on the right side. Subgroup analyses and interaction tests showed stable and consistent results between WWI and bowel habits across the stratification factors. Elevated levels of WWI are associated with an increased risk of chronic diarrhea. A range of WWI < 9.77 is associated with an increased risk of chronic constipation. WWI is a stable valid indicator for assessing intestinal health in U.S. adults, and we should be mindful of the importance of maintaining good levels of body fat in our daily lives to maintain healthy bowel habits.

Indexed as

ConstipationDiarrheaAdultAgedBody WeightCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysObesityWaist CircumferenceYoung AdultChronic constipationNHANESWeight-adjusted-waist index

Identifiers

PMID39085333
PMCPMC11291746

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.