Tier 4 — mechanistic

Association between dietary betaine intake and overweight or obesity

Maierheba Kuerbanjiang, Wenzhuo Yu, Ting Shang, Yuchen Liu, Dina Muheyati, Mei-Xia Lv, Muhairemu Jielili, Jia Han
Scientific reports 2024 14(1):32031

Bibliography

PubMed
PMID 39738766
PubMed Central
PMC11685490
DOI
10.1038/s41598-024-83646-3
Funding
Reported funding/support: http://dx.doi.org/10.13039/501100001809National Natural Science Foundation of China82160611
Competing interests
Reported disclosure: Declarations. Competing interests: The authors declare no competing interests.

Study snapshot

DesignCross-sectional dietary study
ModelHuman participants
Sample492 adults
InterventionHabitual dietary choline and/or betaine intake; no randomized TMG treatment
DurationSingle dietary and body-size assessment
EndpointsOverweight and obesity

What the study showed, in plain terms

Published in 2024, this source examined human observational and biomarker research. Design: Cross-sectional dietary study. Sample/model: 492 adults. The exposure or intervention was Habitual dietary choline and/or betaine intake; no randomized TMG treatment. Follow-up or treatment period: Single dietary and body-size assessment.

The highest dietary-betaine group had lower odds of overweight/obesity; cereals supplied most estimated intake.

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

  • The highest dietary-betaine group had lower odds of overweight/obesity; cereals supplied most estimated intake.
  • The recorded outcome domains were Overweight and obesity.
  • 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: Accessible full-text extract plus indexed bibliographic data. Missing method details, funding information or participant denominators are not inferred.

Related papers in the corpus

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Dietary Choline and Betaine and Risk of CVD: A Systematic Review and Meta-Analysis of Prospective Studies
Katie A Meyer et al. · Nutrients · 2017
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Dietary Choline and Betaine Are Not Associated With the Risk of Type 2 Diabetes. A Systematic Review and Meta-Analysis of Observational Studies
Elham Sharifi-Zahabi et al. · Journal of diabetes research · 2026
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Association of choline and betaine with the risk of cardiovascular disease and all-cause mortality: Meta-analysis
Qinglin Yang et al. · European journal of clinical investigation · 2023
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Association of choline and betaine levels with cancer incidence and survival: A meta-analysis
Jiyoung Youn et al. · Clinical nutrition (Edinburgh, Scotland) · 2019

Editorial review

Reviewed by the Biohack Blueprint research team

Last verified

Dr. Khaled Mahmoud, MBBChCritical Care Medicine, Longevity Science & Editorial Direction Dr. Amr Yasser, PhDCardiometabolic, Musculoskeletal, Gut & Bioavailability Dr. Abdulla Mostafa, PhDCellular Senescence, Neurological, Mitochondrial & Brain-Ageing Biology