Evidence map›Paper›PMID 40205563›Full record

ArticleLipids in health and disease2025

Remnant cholesterol in obesity phenotypes: results from NHANES.

Tian Yu, Shaohua Liu, Lu Fang, Tingting Du, Zhelong Liu

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

5 authors.

Tian YuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shaohua LiuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lu FangDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tingting DuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. aduttsxx@163.com.
Zhelong LiuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. liuzhelong@163.com.

Funding

Clinical Medical Education Teaching Reform Research Project of Hubei Provincial Health Commission HBJG-220045Sen-Mei China Diabetes Research Fund Z-2017-26-1902
6 · The paper itself

Abstract

backgroundThe association between remnant cholesterol (RC) with obesity phenotypes remains unclear.

methodsThis study designed to evaluate the association between RC and obesity phenotypes using data from the National Health and Nutrition Examination Survey (NHANES). The classification systems for obesity phenotypes encompassed both preclinical/clinical obesity and obesity stages, which were assessed based on two authoritative obesity guidelines: the 2025 clinical obesity guideline, and the 2016 obesity guideline established by the American Association of Clinical Endocrinologists and the American College of Endocrinology (AACE/ACE). Participants were selected according to the diagnostic criteria for obesity proposed in the 2025 clinical obesity guideline and were categorized into tertiles based on their RC levels. Their obesity phenotypes, obesity-related clinical manifestations, obesity-related comorbidities, and characteristics were then described. Logistic regression analyses and restricted cubic spline (RCS) models were used to analyze the relationship between RC and adverse obesity phenotypes. Sensitivity analyses were conducted in patients not receiving lipid-lowering drugs.

resultsThis study comprised 3,207 adult participants, revealing distinct prevalence patterns: 47.80% exhibited preclinical obesity and 17.81% showed clinical obesity, while obesity stage stratification demonstrated 0%, 12.76%, and 21.63% prevalence for stage 0, 1, and 2, respectively. Multivariable regression analyses demonstrated dose-response relationship between RC levels and adverse obesity phenotypes, with individuals in the highest RC tertile showing significantly elevated risks of clinical obesity (OR 1.95, 95% CI 1.19-3.19) and obesity stage progression (OR 1.96, 95% CI 1.06-3.62) compared to the lowest tertile reference group. RCS analyses further revealed similar "J"-shaped association between RC levels and adverse obesity phenotypes (P for nonlinearity < 0.001), sharing a common inflection point at 0.51 mmol/L. The sensitivity analyses confirmed the consistency of the results among patients who were not receiving lipid-lowering therapy.

conclusionsRC was found to be positively and independently associated with adverse obesity phenotypes, particularly when RC levels exceeded 0.51 mmol/L, demonstrating a similar "J"-shaped association. It is recommended that clinicians monitor RC levels for obese patients as a primary screening indicator for adverse phenotypes of obesity.

Indexed as

CholesterolObesityAdultBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysPhenotypeTriglyceridesCholesterolTriglyceridesNational health and nutrition examination surveyObesity phenotypesObesity stagePreclinical/clinical obesityRemnant cholesterol

Identifiers

PMID40205563
PMCPMC11983735

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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.