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The Study

The Longitudinal Effect of Ultra-Processed Food on the Development of Dyslipidemia/Obesity as Assessed by the NOVA System and Food Compass Score.

In simple terms

This study watched a bunch of people for 5 years and noticed that those who ate more ultra-processed foods tended to get more health problems like high cholesterol or weight gain. But it didn’t make people change their diets—it just watched what they already did, so we can’t say the food definitely caused the problems.

60%

Analysis score

60/ 72

Maximum 72 for a cohort study.

Where the score came from

Reporting40
Methodology38
Publication100
Statistical77
Study type (basis of the score)
Cohort Study
Level 2b - Individual cohort study
What’s the bottom line?

This study looked at what people ate over 5 years and saw if eating more processed foods made them more likely to get high cholesterol or gain weight.

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
60

60 / 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. 1Yes — a 20% higher risk means about 1 in 5 more people get high cholesterol if they eat lots of ultra-processed foods; cutting them out could help prevent heart problems and weight gain.
  2. 2People who ate the most ultra-processed foods had a 20% higher chance of high cholesterol.
  3. 3People who ate more healthy, less processed foods had 14–24% lower cholesterol risk, and women had 24% lower obesity risk.

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

Publication

Journal

Molecular nutrition & food research

Year

2023

Authors

Li-Juan Tan, S. Hwang, Sangah Shin

15 citations
Analysis v6
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.