Tier 4 — mechanistic

Association of dietary choline and betaine intake with diabetes risk: a prospective cohort study from the China Health and Nutrition Survey

Shangling Wu, Peiyan Chen, Yi Sui, Peishan Tan, Jialin Lu, Wenting Wang, Wei Lu, Aiping Fang
Food & function 2026 17(6):2871-2883

Bibliography

PubMed
PMID 41773536
Funding
Funding was not specified in the indexed record or accessible funding metadata.
Competing interests
A competing-interest declaration was not available in the indexed record or accessible disclosure metadata.

Study snapshot

DesignProspective cohort
ModelHuman participants
Sample17156 Chinese adults without diabetes at baseline
InterventionHabitual dietary choline and/or betaine intake; no randomized TMG treatment
Duration1991-2015 survey follow-up
EndpointsType 2 diabetes incidence

What the study showed, in plain terms

Published in 2026, this source examined human observational and biomarker research. Design: Prospective cohort. Sample/model: 17156 Chinese adults without diabetes at baseline. The exposure or intervention was Habitual dietary choline and/or betaine intake; no randomized TMG treatment. Follow-up or treatment period: 1991-2015 survey follow-up.

Dietary betaine was not significantly associated with diabetes incidence; the nonlinear findings concerned choline.

Observational exposure analysis: residual confounding and reverse causation remain possible. Associations do not establish that betaine supplementation causes the same outcome.

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Key findings

  • Dietary betaine was not significantly associated with diabetes incidence; the nonlinear findings concerned choline.
  • The recorded outcome domains were Type 2 diabetes incidence.
  • The exposure was observed rather than assigned as an isolated supplement treatment.

What this study can and cannot tell us

  • Observational exposure analysis: residual confounding and reverse causation remain possible. Associations do not establish that betaine supplementation causes the same outcome.
  • Confounding, dietary patterns, illness, medication use and reverse causation can influence an association. Blood or dietary concentrations do not identify the effect of starting a capsule.
  • Source basis: Indexed abstract and bibliographic data. Missing method details, funding information or participant denominators are not inferred.

Editorial review

Reviewed by the Biohack Blueprint research team

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