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The Study

The Association Between Composite Healthy Lifestyle Score and Type 2 Diabetes Risk in the Korean Population: The Korean Genome and Epidemiology Study

In simple terms

This study watched a bunch of people in Korea for almost 20 years and noticed that those who ate better, exercised more, didn’t smoke, drank less alcohol, and had a healthy weight were less likely to get diabetes. But it didn’t make them change their habits — it just watched what happened. So we can’t say their habits caused the lower risk, just that they went together.

59%

Analysis score

59/ 72

Maximum 72 for a cohort study.

Where the score came from

Reporting0
Methodology56
Publication100
Statistical77
Study type (basis of the score)
Cohort Study
Level 2b - Individual cohort study
What’s the bottom line?

People who followed five healthy habits—no smoking, daily exercise, moderate drinking, healthy weight, and eating mostly healthy plants—were much less likely to get type 2 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
Cohort Studies
Level 2b
59

59 / 100

Quality score

Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1This means if you follow these habits, you’re far less likely to get diabetes—even if you have a family history or other risks.
  2. 2People with all 5 habits had 56% lower diabetes risk than those with 0 or 1 habit.
  3. 3Each extra habit lowered risk by 15%.
  4. 4Eating healthy plants was the most important habit.

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

Publication

Journal

Nutrients

Year

2026

Authors

Daeyun Kim, Minji Kang, Dongmin Kim, Ju-Young Park, Jihye Kim

Open Access
Analysis v5

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