# Substitution of White Meat for Red Meat and Diabetes Risk: A Prospective Cohort Study Stratified by Red Meat Intake

**Authors:** Langrun Wang, Jie Guo, Yiran Guan, Chao Zhang, Ran Wang, Keji Li, Ruixin Zhu, Jingjing He

PMC · DOI: 10.3390/nu18040669 · Nutrients · 2026-02-18

## TL;DR

Replacing red meat with white meat may lower diabetes risk in Chinese adults who eat a lot of red meat, but not in those who eat less.

## Contribution

The study reveals that the benefit of substituting white meat for red meat depends on baseline red meat consumption levels.

## Key findings

- A U-shaped relationship was found between red meat consumption and diabetes risk, with lowest risk at 75 g/day.
- Substituting 50 g/day of red meat with white meat reduced diabetes risk by 34% in high red meat consumers.
- No significant diabetes risk reduction was observed in individuals with low red meat intake.

## Abstract

Background/Objectives: Current evidence on the diabetes prevention benefit of substituting red meat with white meat remains inconsistent and is predominantly based on Western populations. This research examined whether the benefits of such dietary substitution depend on habitual red meat intake levels. Methods: This prospective analysis included 12,143 adults from the China Health and Nutrition Survey (2004–2015). Dietary intake was assessed by multiple 24 h recalls supplemented by a household food inventory. Incident diabetes was identified via self-report and supplementary biochemical data. Estimates of hazard ratios (HRs) and 95% confidence intervals (CIs) were obtained through Cox proportional hazards modeling. Dose–response relationships were examined using restricted cubic splines. Substitution effects were evaluated within strata defined by baseline red meat intake (<75 vs. ≥75 g/day). Results: During 83,046 person-years of follow-up, 687 incident diabetes cases occurred. U-shaped associations were identified for both red meat (lowest risk at 75 g/day) and white meat (lowest risk at 60 g/day) consumption in relation to diabetes risk (p-nonlinearity < 0.0001). Substitution was not associated with diabetes risk in the low-intake stratum (<75 g/day, p = 0.107). Conversely, in the high-intake stratum (≥75 g/day), replacing 50 g/day of red meat with white meat was associated with a 34% lower diabetes risk (HR: 0.66; 95% CI: 0.51, 0.86; p = 0.002). Conclusions: Meat intake shows a nonlinear association with diabetes risk in Chinese adults. The potential benefit of substituting white meat for red meat is conditional, with a more pronounced effect observed among individuals with high habitual red meat consumption, which may support the development of targeted dietary guidance for this subgroup.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, PAM (peptidylglycine alpha-amidating monooxygenase) [NCBI Gene 5066] {aka PAL, PAM-1, PHM}, TPPP (tubulin polymerization promoting protein) [NCBI Gene 11076] {aka TPPP/p25, TPPP1, p24, p25, p25alpha}, MAPK8 (mitogen-activated protein kinase 8) [NCBI Gene 5599] {aka JNK, JNK-46, JNK1, JNK1A2, JNK21B1/2, PRKM8}, IL2RB (interleukin 2 receptor subunit beta) [NCBI Gene 3560] {aka CD122, IL15RB, IMD63, P70-75}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, IKBKB (inhibitor of nuclear factor kappa B kinase subunit beta) [NCBI Gene 3551] {aka IKK-2, IKK-beta, IKK2, IKKB, IMD15, IMD15A}, HAMP (hepcidin antimicrobial peptide) [NCBI Gene 57817] {aka HEPC, HFE2B, LEAP1, PLTR}
- **Diseases:** CHNS (MESH:D044342), hypertension (MESH:D006973), inflammation (MESH:D007249), injury to (MESH:D014947), insulin resistance (MESH:D007333), cancer (MESH:D009369), Diabetes (MESH:D003920), myocardial infarction (MESH:D009203), stroke (MESH:D020521), LADA (MESH:D000071698), MODY (MESH:D003924)
- **Chemicals:** N-glycolylneuraminic acid (MESH:C032592), carnitine (MESH:D002331), zinc (MESH:D015032), TMAO (MESH:C005855), PUFAs (MESH:D005231), TE (MESH:D013691), FPG (-), SFA (MESH:D005227), carbohydrates (MESH:D002241), selenium (MESH:D012643), heme iron (MESH:D006418), choline (MESH:D002794), n-3 polyunsaturated fatty acids (MESH:D015525), long-chain acyl-CoAs (MESH:D000214), vitamin B12 (MESH:D014805), lipid (MESH:D008055), advanced glycation end products (MESH:D017127), DHA (MESH:C027493), ceramides (MESH:D002518), glucose (MESH:D005947), alcohol (MESH:D000438)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12942914/full.md

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Source: https://tomesphere.com/paper/PMC12942914