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The Study

Meta-analysis of dietary glycemic load and glycemic index in relation to risk of coronary heart disease.

In simple terms

This study looked at lots of people over time and found that women who ate lots of sugary or starchy foods were more likely to get heart disease — but it doesn’t prove the food caused it. It just shows they tended to happen together.

42%

Analysis score

42/ 100

Maximum 100 for a systematic review with meta-analysis.

Where the score came from

Reporting0
Methodology25
Publication100
Statistical54
Study type (basis of the score)
Systematic Review with Meta-Analysis
Level 1a - Systematic review of RCTs
What’s the bottom line?

This study looked at whether eating lots of sugary and refined carbs raises the risk of heart disease, and if it affects men and women differently.

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
Reviews of RCTs (Meta-analyses)
Level 1a
42

42 / 100

Quality score

The highest quality evidence. Systematic reviews and meta-analyses that pool randomized controlled trials, giving the most reliable summary of experimental evidence.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Yes — a 69% higher risk means nearly 7 out of every 10 women with high-sugar diets might face heart disease that others wouldn't, even after accounting for other risk factors.
  2. 2Women who ate high-glycemic diets had a 69% higher risk of heart disease; men had no significant increase.
  3. 3Women with high GI diets had a 26% higher risk.
  4. 4The risk may be worse for overweight or obese people.

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

Publication

Journal

The American journal of cardiology

Year

2012

Authors

Jiayi Dong, Yong-hong Zhang, Peiyu Wang, L. Qin

109 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.