Evidence map›Paper›PMID 42852113›Full record

ArticleFrontiers in endocrinology2026

Combined assessment of body mass index and triglyceride-glucose index reveals metabolic risk phenotypes associated with semen quality impairment.

Yannan Zhao, Yue Zhao, Yan Zhao, Li Jiang, Shuaishuai Guo, Lihong Jia

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Article in Frontiers in endocrinology, 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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5 · Who and what money

Authors and funding

6 authors.

Yannan ZhaoShenyang Clinical Medical Research Center for Assisted Reproduction, Shenyang Women's and Children's Hospital, Shenyang, China.
Yue ZhaoKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang, China.
Yan ZhaoShenyang Clinical Medical Research Center for Assisted Reproduction, Shenyang Women's and Children's Hospital, Shenyang, China.
Li JiangShenyang Clinical Medical Research Center for Assisted Reproduction, Shenyang Women's and Children's Hospital, Shenyang, China.
Shuaishuai GuoShenyang Clinical Medical Research Center for Assisted Reproduction, Shenyang Women's and Children's Hospital, Shenyang, China.
Lihong JiaKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) has been associated with impaired semen quality, but evidence remains inconsistent, partly because BMI does not adequately reflect metabolic health. The triglyceride-glucose (TyG) index, a surrogate for insulin resistance (IR), is increasingly recognized as a potential contributor to impaired semen quality. However, whether BMI and TyG are jointly associated with semen quality has not been evaluated. Methods: This retrospective cross-sectional study included 804 men from a fertility clinic. Associations of BMI and TyG with semen parameters were evaluated using multivariable linear and logistic regression models. Receiver operating characteristic, net reclassification improvement (NRI), and integrated discrimination improvement analyses were performed to assess model discrimination and reclassification. Exploratory mediation analyses estimated the extent to which TyG accounted for the observed associations between BMI and semen quality. Results: Elevated BMI and TyG were independently associated with lower total motility, progressive motility, and normal morphology. Men with both high BMI and high TyG showed the highest odds of reduced total motility (OR 3.63, 95% CI:1.99, 6.61), progressive motility (OR 3.21, 95% CI:1.74, 5.90), and normal forms (OR 2.78, 95% CI:1.57, 4.92). Men with low BMI but high TyG showed numerically higher impairment rates than men with high BMI but low TyG across motility and morphology outcomes. The incremental NRI of TyG beyond BMI ranged from 0.212 to 0.321 for these parameters (all P < 0.01). Exploratory mediation analyses indicated that TyG statistically accounted for 35.9%, 33.9%, and 28.5% of the observed association between BMI and total motility, progressive motility, and normal forms, respectively. Conclusions: BMI and TyG index were independently associated with impaired sperm motility and normal morphology, while the combination of BMI and TyG provided additional risk stratification. Elevated TyG may help identify metabolically at-risk men who are not fully captured by BMI alone, although further validation is required.

Indexed as

Blood GlucoseBody Mass IndexInfertility, MaleSemen AnalysisTriglyceridesAdultCross-Sectional StudiesHumansMalePhenotypeRetrospective StudiesRisk FactorsSperm MotilityBlood GlucoseTriglyceridesbody mass indexmale reproductive healthmetabolic risk phenotypesemen qualitytriglyceride-glucose index

Identifiers

PMID42852113
PMCPMC13647161

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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.