Evidence map›Paper›PMID 41968080›Full record

ArticleThe Journal of international medical research2026

Relationship between A Body Shape Index and sleep disorders among the U.S. population: A cross-sectional analysis of the National Health and Nutrition Examination Survey data.

Anhao Liu, Yuanqing Li, Xuehui Zhang, Ningkang Lv, Hong Lian Yang, Cuiping Hao, Dongmei Wu

Abstract read
In one paragraph

Article in The Journal of international medical research, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Anhao LiuSchool of Nursing, Shandong First Medical University, China.ORCID 0009-0007-9549-6772
Yuanqing LiSchool of Nursing, Shandong First Medical University, China.
Xuehui ZhangSchool of Nursing, Jining Medical University, China.
Ningkang LvSchool of Nursing, Jining Medical University, China.
Hong Lian YangSchool of Nursing, Jining Medical University, China.
Cuiping HaoThe Second Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, China.ORCID 0000-0002-4273-1595
Dongmei WuSchool of Nursing, Jining Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundAccumulating evidence suggests that sleep disorders are strongly associated with obesity, particularly visceral adiposity. A Body Shape Index has been recognized as a more accurate anthropometric indicator for assessing overall obesity and visceral fat levels. This study aimed to explore the potential relationship between obesity and sleep disorders in a representative sample of the U.S. adult population.MethodsThis retrospective study involved data from 25,057 adults aged 20 years and older who participated in the National Health and Nutrition Examination Survey between 2005 and 2016. Multivariate logistic regression models, restricted cubic spline analysis, and subgroup stratification were used to analyze the association between A Body Shape Index and sleep disorders.ResultsAmong the 25,057 participants, 6310 reported experiencing sleep disorders. After adjusting for potential confounders, the results revealed that a unit increase in A Body Shape Index was associated with a 10% higher likelihood of sleep disorders (odds ratio = 1.1, 95% confidence interval: 1.02-1.18, p

Indexed as

ObesitySleep Wake DisordersAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRetrospective StudiesUnited StatesYoung AdultA Body Shape Indexcross-section studyNational Health and Nutrition Examination Surveyobesitysleep disorders

Identifiers

PMID41968080
PMCPMC13080157

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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.