Evidence map›Paper›PMID 40349059›Full record

ArticleLipids in health and disease2025

Association between eosinophil number and overweight status: a nonlinear, bidirectional study.

Xinghai Yue, Chenchen Wang, Xixu Zhang

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.

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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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5 · Who and what money

Authors and funding

3 authors.

Xinghai Yue *The Second Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Chenchen Wang *The Second Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Xixu ZhangDepartment of Endocrinology, The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China. zhangxixu1987@163.com.

Funding

Liaoning Provincial Department of Education JYTM20231835The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine 2023-LZYY-1-15
6 · The paper itself

Abstract

backgroundThe relationship between eosinophil number and overweight status (or obesity) remains a subject of debate. While animal studies suggest a negative correlation between the two, most clinical studies indicate a positive correlation. Therefore, we hypothesize that a nonlinear relationship may exist between eosinophil number and overweight status. This study aims to investigate the association between eosinophil number and overweight status (as well as related indicators) using data from the National Health and Nutrition Examination Survey (NHANES).

methodsWe utilized data from NHANES 1999-2018, where eosinophil number was obtained from laboratory tests. Overweight status was defined as a body mass index (BMI) ≥ 25. We then applied weighted logistic regression/linear regression, subgroup analysis, and restricted cubic splines (RCS) analysis to investigate the association between eosinophil number and overweight status (as well as related indicators).

resultsA total of 77,217 individuals were included in this study, with 38,106 individuals in the non-overweight group (BMI < 25) and 39,111 individuals in the overweight group (overweight and obesity, BMI ≥ 25). The logistic regression analysis revealed a significant association between eosinophil number and overweight status (OR: 2.38, 95% CI: 1.81-3.12, P < 0.001). Additionally, eosinophil number was significantly positively correlated with obesity/BMI/triglycerides and negatively correlated with High-Density Lipoprotein (HDL). Finally, the nonlinear regression results indicated an inverted U-shaped relationship between eosinophil number and overweight status/obesity/BMI.

conclusionOur study demonstrates an inverted U-shaped relationship between eosinophil number and overweight status/obesity/BMI. Eosinophil number is also significantly associated with HDL and triglycerides. These findings suggest that eosinophils may play a role in overweight (or obesity) and provide valuable insights for exploring the underlying immune mechanisms of overweight status.

Indexed as

EosinophilsObesityOverweightAdultBody Mass IndexFemaleHumansLeukocyte CountMaleMiddle AgedNutrition SurveysTriglyceridesTriglyceridesBody mass indexEosinophilNHANESObesityOverweight

Identifiers

PMID40349059
PMCPMC12065158

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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.