Study analysis · The Lancet. Planetary health · 2024
Cutting meat by just 30% could prevent over a million chronic disease cases in the U.S. — here’s what the data says.
If Americans ate 30% less meat, a computer model predicts hundreds of thousands of fewer cases of diabetes, heart disease, and cancer over 10 years.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study is like a computer game that predicts what might happen if people ate less meat. It doesn’t watch real people change their diets, so we can’t say for sure that eating less meat would actually prevent disease. It just shows what could happen based on other studies and math.
What’s the bottom line?
Scientists used math and health data to guess what would happen if Americans ate 30% less processed or red meat for 10 years.
How strong is this study?
The study uses a lot of data and runs many simulations, which makes it thoughtful, but it’s only as good as the guesses it starts with. Since we can’t see the full rules of the game (the full methods), it’s hard to know how much to trust the results. Bigger, real-world studies would give stronger proof.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
13 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample sizeno sample size reported
- Follow-up+10/10
100 / 100
0 / 100
- P-valuesno p-values reported
- Effect sizeno effect size reported
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 50 / 100
Probability of being correct
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
This design cannot establish causation — the findings describe an association, not a cause. This is a computational microsimulation model, not an experimental or observational human study. It relies on input data and assumptions from other studies but does not directly observe or intervene in human populations. Therefore, it cannot establish causation.
Key takeaways
- 01
Eating 30% less processed meat could prevent 353,000 diabetes cases, 92,500 heart problems, 53,300 cancer cases, and 16,700 deaths.
- 02
Eating 30% less red meat could prevent 733,000 diabetes cases, 291,500 heart problems, 32,200 cancer cases, and 46,100 deaths.
- 03
Cutting both could prevent over 1 million diabetes cases and 62,200 deaths.
- 04
Yes, these numbers are very large and suggest that eating less meat could help many people stay healthier and live longer.
Surprising findings
- Reducing unprocessed red meat had a larger projected impact on type 2 diabetes and cardiovascular disease than reducing processed meat.Many assume processed meat is the biggest dietary villain, but the model suggests cutting regular red meat (like beef or pork) could prevent more diabetes and heart events — 732,600 vs. 352,900 diabetes cases avoided with 30% reduction.
Practical takeaways
Consider reducing your red and processed meat intake by about one-third — for example, swapping one meat-based meal per week for a plant-based alternative.
These are model-based projections, not observed outcomes; individual results may vary and full methodology isn't available.
low confidenceWhy this study matters
Processed vs. Red Meat: Not the Same Risk
The study treats processed meat (like bacon and hot dogs) and unprocessed red meat (like steak or ground beef) separately, recognizing they have different health impacts. For example, reducing processed meat was linked to 53,300 fewer colorectal cancer cases, while reducing unprocessed red meat was linked to 32,200 fewer cases over 10 years.
Many people lump all 'red meat' together, but this model suggests processed meats may carry higher risks for certain cancers, which could change how we think about dietary choices.
Small Change, Big Impact
A 30% reduction in both types of meat — not elimination — is projected to prevent 1,073,400 type 2 diabetes cases and 62,200 deaths over a decade in the U.S. adult population, according to the model.
This shows that even modest dietary shifts, if adopted widely, could significantly reduce the burden of chronic diseases across the country.
Modeling the Future of Diet & Health
Researchers used a microsimulation model based on real national health data (NHANES 2015–18) to simulate disease outcomes under different meat-reduction scenarios, repeating each 50 times for uncertainty analysis.
It’s not a clinical trial — it’s a sophisticated computer forecast using real-world data, helping estimate long-term public health impacts without waiting decades.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Scientists used math and health data to guess what would happen if Americans ate 30% less processed or red meat for 10 years.
Research results
Eating 30% less processed meat could prevent 353,000 diabetes cases, 92,500 heart problems, 53,300 cancer cases, and 16,700 deaths. Eating 30% less red meat could prevent 733,000 diabetes cases, 291,500 heart problems, 32,200 cancer cases, and 46,100 deaths. Cutting both could prevent over 1 million diabetes cases and 62,200 deaths.
What this means - more context
Yes, these numbers are very large and suggest that eating less meat could help many people stay healthier and live longer.
The study aimed to estimate the potential health impacts of reducing processed and unprocessed red meat consumption on type 2 diabetes, cardiovascular disease, colorectal cancer, and mortality in the US adult population using a microsimulation model.
Using national dietary and health data, the study modeled the effects of reducing processed and unprocessed red meat consumption. It found that 30% reductions in each or both types of meat were associated with substantial decreases in chronic disease cases and deaths over 10 years in the US adult population.
Methods Used
A microsimulation model was created using data from the 2015-16 and 2017-18 US National Health and Nutrition Examination Survey, representing 242,021,876 adults. Baseline disease risks were estimated using logistic regression for type 2 diabetes and Cox proportional-hazard models for cardiovascular disease and colorectal cancer, then adjusted for meat consumption. Outcomes were projected over 10 years with 50 repetitions for uncertainty analysis.
Main Finding
A 30% reduction in processed meat consumption was associated with 352,900 fewer type 2 diabetes cases, 92,500 fewer cardiovascular disease events, 53,300 fewer colorectal cancer cases, and 16,700 fewer deaths. A 30% reduction in unprocessed red meat was associated with 732,600 fewer diabetes cases, 291,500 fewer CVD events, 32,200 fewer colorectal cancer cases, and 46,100 fewer deaths. A combined 30% reduction was associated with 1,073,400 fewer diabetes cases, 382,400 fewer CVD events, 84,400 fewer colorectal cancer cases, and 62,200 fewer deaths over 10 years.
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Model-based projections - actual outcomes may vary
- •Uncertainty analysis performed but effect sizes and confidence intervals not reported in abstract
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Reducing unprocessed red meat had a larger projected impact on type 2 diabetes and cardiovascular disease than reducing processed meat.
Many assume processed meat is the biggest dietary villain, but the model suggests cutting regular red meat (like beef or pork) could prevent more diabetes and heart events — 732,600 vs. 352,900 diabetes cases avoided with 30% reduction.
Practical Takeaways
Consider reducing your red and processed meat intake by about one-third — for example, swapping one meat-based meal per week for a plant-based alternative.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 50 / 100
Probability of being correct
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
Non-Scorable
Subject
Lower probability
on the GRADE evidence scale
This study is like a computer game that predicts what might happen if people ate less meat. It doesn’t watch real people change their diets, so we can’t say for sure that eating less meat would actually prevent disease. It just shows what could happen based on other studies and math.
Weaknesses
- Full methodology not available - based on abstract only
- No direct human data collection or intervention
- Relies on assumptions from external risk models
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Scientists used math and health data to guess what would happen if Americans ate 30% less processed or red meat for 10 years.
Research results
Eating 30% less processed meat could prevent 353,000 diabetes cases, 92,500 heart problems, 53,300 cancer cases, and 16,700 deaths. Eating 30% less red meat could prevent 733,000 diabetes cases, 291,500 heart problems, 32,200 cancer cases, and 46,100 deaths. Cutting both could prevent over 1 million diabetes cases and 62,200 deaths.
What this means - more context
Yes, these numbers are very large and suggest that eating less meat could help many people stay healthier and live longer.
The study aimed to estimate the potential health impacts of reducing processed and unprocessed red meat consumption on type 2 diabetes, cardiovascular disease, colorectal cancer, and mortality in the US adult population using a microsimulation model.
Using national dietary and health data, the study modeled the effects of reducing processed and unprocessed red meat consumption. It found that 30% reductions in each or both types of meat were associated with substantial decreases in chronic disease cases and deaths over 10 years in the US adult population.
Methods Used
A microsimulation model was created using data from the 2015-16 and 2017-18 US National Health and Nutrition Examination Survey, representing 242,021,876 adults. Baseline disease risks were estimated using logistic regression for type 2 diabetes and Cox proportional-hazard models for cardiovascular disease and colorectal cancer, then adjusted for meat consumption. Outcomes were projected over 10 years with 50 repetitions for uncertainty analysis.
Main Finding
A 30% reduction in processed meat consumption was associated with 352,900 fewer type 2 diabetes cases, 92,500 fewer cardiovascular disease events, 53,300 fewer colorectal cancer cases, and 16,700 fewer deaths. A 30% reduction in unprocessed red meat was associated with 732,600 fewer diabetes cases, 291,500 fewer CVD events, 32,200 fewer colorectal cancer cases, and 46,100 fewer deaths. A combined 30% reduction was associated with 1,073,400 fewer diabetes cases, 382,400 fewer CVD events, 84,400 fewer colorectal cancer cases, and 62,200 fewer deaths over 10 years.
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Model-based projections - actual outcomes may vary
- •Uncertainty analysis performed but effect sizes and confidence intervals not reported in abstract
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Reducing unprocessed red meat had a larger projected impact on type 2 diabetes and cardiovascular disease than reducing processed meat.
Many assume processed meat is the biggest dietary villain, but the model suggests cutting regular red meat (like beef or pork) could prevent more diabetes and heart events — 732,600 vs. 352,900 diabetes cases avoided with 30% reduction.
Practical Takeaways
Consider reducing your red and processed meat intake by about one-third — for example, swapping one meat-based meal per week for a plant-based alternative.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 50 / 100
Probability of being correct
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
Non-Scorable
Subject
Lower probability
on the GRADE evidence scale
This study is like a computer game that predicts what might happen if people ate less meat. It doesn’t watch real people change their diets, so we can’t say for sure that eating less meat would actually prevent disease. It just shows what could happen based on other studies and math.
Weaknesses
- Full methodology not available - based on abstract only
- No direct human data collection or intervention
- Relies on assumptions from external risk models
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
The study uses a lot of data and runs many simulations, which makes it thoughtful, but it’s only as good as the guesses it starts with. Since we can’t see the full rules of the game (the full methods), it’s hard to know how much to trust the results. Bigger, real-world studies would give stronger proof.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
13 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample sizeno sample size reported
- Follow-up+10/10
100 / 100
0 / 100
- P-valuesno p-values reported
- Effect sizeno effect size reported
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 50 / 100
Probability of being correct
Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.
This design cannot establish causation — the findings describe an association, not a cause. This is a computational microsimulation model, not an experimental or observational human study. It relies on input data and assumptions from other studies but does not directly observe or intervene in human populations. Therefore, it cannot establish causation.
Standing
Who’s using this study?
The videos and claims on this site that lean on this study, and the researchers who wrote it.
1 video from Thomas DeLauer cite this study, drawing 1 claim from it.
- Conflicting evidence
Evidence points in both directions — no clear conclusion yet.
Evidence
Authored by
4 researchersIf this is your work, this is how we attribute it on Fit Body Science. Joe Kennedy is listed as the lead author.