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The Study

Associations between artificial sweetener intake from cereals, coffee, and tea and the risk of type 2 diabetes mellitus: A genetic correlation, mediation, and mendelian randomization analysis

In simple terms

This study didn't make people drink sweeteners to see what happens. Instead, it looked at people's genes to guess who might like sweeteners more, and then checked if those people were more likely to get diabetes. It found a hint of a link, but it's not proof — it's like guessing someone's favorite food by their DNA and seeing if they got sick.

0%

Analysis score

0/ 0

Maximum 0 for a computational/algorithm study.

Where the score came from

Reporting35
Methodology0
Publication100
Statistical77
Study type (basis of the score)
Computational/Algorithm Study
Level 5 - Expert opinion
What’s the bottom line?

Scientists used people's genes to figure out if drinking coffee with fake sugar causes diabetes. They found that people with genes linked to adding more sweetener to coffee had a higher chance of getting diabetes.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Expert Opinion
Level 5
0

0 / 100

Quality score

Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1A 26% increased risk is meaningful — it’s like going from 10 in 100 people getting diabetes to 12.6 in 100, which could affect public health advice.
  2. 2People with genes for more sweetener in coffee had a 26% higher risk of diabetes.
  3. 3About 30% of this risk was linked to lower 'good' cholesterol (HDL-C).

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

PLOS ONE

Year

2024

Authors

Youqian Zhang, Zitian Tang, Yong Shi, Lin Li

Open Access
10 citations
Analysis v5
Fit Body Science verdict — we translate health studies into clear verdicts backed by peer-reviewed research.

Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.