Evidence mapPaperPMID 42010526Full record

ArticleBMC public health2026

Association of four insulin resistance surrogates with anemia among middle-aged and elderly individuals: a cross-sectional study from the China Health and Retirement Longitudinal Study.

Yongyu Chen, Jiehua Deng, Zhongming Zhang, Peng Su

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Article in BMC public health, 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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4 authors.

Yongyu Chen *Department of Hematology, Minzu Hospital of Guangxi Medical University, Nanning, 530001, China. Chenyongyu@sr.gxmu.edu.cn.
Jiehua Deng *Department of Respiratory and Critical Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033, China.
Zhongming ZhangDepartment of Hematology, The first Affiliated Hospital of Guangxi Medical University, Nanning, 530001, China.
Peng SuDepartment of Hematology, Minzu Hospital of Guangxi Medical University, Nanning, 530001, China. 57973370@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is a prevalent global public health challenge. The aim of this study was to investigate the cross-sectional association between insulin resistance (IR) surrogates (TyG index, TG/HDL-C ratio, METS-IR, and eGDR) and anemia in middle-aged and elderly Chinese individuals.

methodsData from the China Health and Retirement Longitudinal Study (CHARLS) wave 3 (2015) were analyzed. A total of 10,402 participants aged 45 years or older were included. Multiple logistic regression models and restricted cubic spline (RCS) analyses were employed to examine the associations, applying sampling weights to ensure national representativeness. Collinearity diagnostics were performed to validate model stability.

resultsIn this cross-sectional study, 3,590 (34.5%) participants had anemia. After adjusting for confounders (including age, gender, socioeconomic status, lifestyle, and comorbidities), the TyG index, TG/HDL-C ratio, and METS-IR were inversely associated with anemia odds. For each unit increase in TyG, TG/HDL-C, and METS-IR, the odds of anemia decreased by 44% (OR = 0.56, 95% CI = 0.52-0.61), 10% (OR = 0.90, 95% CI = 0.88-0.92), and 5% (OR = 0.95, 95% CI = 0.93-0.96), respectively. Conversely, elevated eGDR levels (indicating lower insulin resistance) were associated with higher odds of anemia (OR = 1.28, 95% CI = 1.22-1.35 per unit increment, adjusted model without mathematical coupling). Non-linear dose-response relationships were observed for all four surrogates. Significant interactions were found between IR surrogates and demographics (age, gender) and lifestyle factors (smoking, BMI).

conclusionHigher levels of TyG, TG/HDL-C, and METS-IR are associated with lower prevalence of anemia, whereas higher eGDR is associated with higher anemia prevalence in middle-aged and elderly Chinese adults. These findings highlight complex metabolic-hematologic interactions, though the cross-sectional design precludes causal inference. Further longitudinal research is warranted to elucidate the underlying mechanisms.

Indexed as

AnemiaInsulin ResistanceAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedBiomarkersAnemiaCHARLSCross-sectional studyInsulin resistanceMiddle-aged and elderly populations

Identifiers

PMID42010526
PMCPMC13218009

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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 Socratic graph.