ArticleBMC endocrine disorders2024
Lipids as potential mediators linking body mass index to diabetes: evidence from a mediation analysis based on the NAGALA cohort.
Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Nonlinear association of residual cholesterol to high-density lipoprotein cholesterol ratio with diabetes mellitus: a retrospective cohort study.Scientific reports · 2026Article
- Maternal Serum Catestatin Levels in Gestational Diabetes Mellitus: A Potential Biomarker for Risk Assessment and Diagnosis.Journal of clinical medicine · 2025Article
- Relationship between BMI, indicators of lipid metabolism and diabetic neuropathy: a Mendelian randomization study.Diabetology & metabolic syndrome · 2025Article
- Non-linear association between metabolic score for insulin resistance and diabetes mellitus in normal-weight middle-aged and older Chinese adults: a multicenter retrospective cohort study.Frontiers in nutrition · 2025Article
- Association between the ratio of aspartate aminotransferase to alanine aminotransferase and risk of diabetes and the mediating effect of BMI: a comparative analysis in Chinese and Japanese populations.Frontiers in endocrinology · 2025Article
- The modified role including mediating and synergistic interactive effects of glucose tolerance status in the associations between relative fat mass and the risks of cardiovascular disease and all-cause mortality from the 4C cohort study.Diabetology & metabolic syndrome · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundBody mass index (BMI) and lipid disorders are both known to be strongly associated with the development of diabetes, however, the indirect effect of lipid parameters in the BMI-related diabetes risk is currently unknown. This study aimed to investigate the mediating role of lipid parameters in the association of BMI with diabetes risk.
methodsWe assessed the association of diabetes risk with BMI, as well as lipid parameters including high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C
resultsMultivariate regression models, adjusted for confounding factors, demonstrated robust associations of lipid parameters, BMI, with diabetes risk, with the exception of TC, LDL-C
conclusionOur fresh findings suggested that lipid parameters partially mediated the association of BMI with diabetes risk; this result indicated that in the context of diabetes risk screening and disease management, it is important to not only monitor BMI but also pay attention to lipid parameters, particularly HDL-C and HDL-C-related lipid ratio parameters.
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