Study analysis · The American journal of clinical nutrition · 2012
Eating spam could double your risk of diabetes—especially in high-risk communities.
American Indian adults who eat a lot of processed meat like spam are much more likely to get type 2 diabetes, but eating steak or hamburger doesn’t seem to increase their risk.
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 watched a group of people over time to see who got diabetes and what they ate. It found that people who ate more processed meat like spam were more likely to get diabetes, but it can't prove that the meat caused the diabetes—other factors might be involved.
What’s the bottom line?
Scientists looked at what American Indian adults ate and whether they got diabetes over 5 years. They wanted to see if eating processed meats like spam or hot dogs was linked to diabetes, and if regular red meat like steak was different.
How strong is this study?
The study was well-run: it used blood tests to check for diabetes, asked detailed questions about diet, and accounted for things like age and exercise. However, it relied on people remembering what they ate, which isn't perfect, so we should be careful not to jump to strong conclusions.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
38 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=2001)+20/20
- Follow-up+10/10
100 / 100
54 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervals+15/15
- 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 555 / 100
Probability of being correct
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.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization or blinding. It can identify associations but cannot prove causation due to potential confounding factors, even after statistical adjustments.
Key takeaways
- 01
People who ate the most processed meat had 63% higher odds of getting diabetes.
- 02
Those who ate the most spam had more than double the odds.
- 03
Eating regular red meat like beef or steak was not linked to higher diabetes risk.
- 04
Yes, the result is meaningful—especially for communities with high processed meat consumption.
- 05
Replacing spam with healthier protein sources could help lower diabetes risk.
Surprising findings
- Hot dogs and breakfast sausages weren’t linked to higher diabetes risk, but spam and lunch meat were.Most public health messaging groups all processed meats together. This study shows not all processed meats carry the same risk—even within the same category.
- Unprocessed red meat showed no diabetes risk—even in a high-risk population.Many recent studies and headlines blame red meat broadly for diabetes. This research contradicts that, showing no link for whole cuts like steak or hamburger.
Practical takeaways
Swap spam or canned meats for fresh or frozen unprocessed meats when possible.
This study only shows association, not causation, and applies specifically to American Indian adults—results may differ in other groups.
medium confidenceRead labels: avoid processed meats high in sodium, nitrates, and preservatives.
Not all lunch meats are equal—some 'natural' versions may still pose risks; more research is needed.
medium confidenceFocus on overall diet quality—replace processed meats with plant proteins like beans or lentils where feasible.
Cultural preferences and food access must be respected—change should be supported, not shamed.
high confidenceWhy this study matters
Spam Isn’t Just Nostalgia—It’s a Diabetes Risk
Participants who ate the most spam had more than double the odds of developing type 2 diabetes (OR: 2.06; 95% CI: 1.30, 3.27) compared to those who ate the least. This was the strongest link among all processed meats studied.
Spam is a cultural staple in many American Indian and Pacific Islander communities due to historical food access issues—this finding hits close to home for millions.
Processed vs. Unprocessed: Meat Isn’t One-Size-Fits-All
High processed meat intake was linked to 63% higher odds of diabetes (OR: 1.63), but unprocessed red meat like beef or steak showed no significant link (OR: 0.90). The type of meat matters more than we thought.
This challenges blanket warnings against 'red meat' and suggests we should focus on processing, not just animal source.
Obesity Explains Some—but Not All—of the Risk
The study found that BMI only partially explained the link between processed meat and diabetes. Even after adjusting for weight, the risk remained significant, pointing to additives or cooking methods as possible culprits.
It means cutting out spam might help reduce diabetes risk even if someone doesn’t lose weight.
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 looked at what American Indian adults ate and whether they got diabetes over 5 years. They wanted to see if eating processed meats like spam or hot dogs was linked to diabetes, and if regular red meat like steak was different.
Research results
People who ate the most processed meat had 63% higher odds of getting diabetes. Those who ate the most spam had more than double the odds. Eating regular red meat like beef or steak was not linked to higher diabetes risk.
What this means - more context
Yes, the result is meaningful—especially for communities with high processed meat consumption. Replacing spam with healthier protein sources could help lower diabetes risk.
The study aimed to examine the associations between processed and unprocessed red meat intake and incident type 2 diabetes in American Indian adults, a population with high diabetes risk and frequent consumption of processed meats like spam.
In a prospective cohort of American Indian adults, higher intake of processed meat, particularly spam and lunch meat, was significantly associated with increased risk of developing type 2 diabetes over approximately 8 years. Unprocessed red meat intake showed no significant association with diabetes risk. The link between processed meat and diabetes was partially mediated by BMI but remained significant after adjustment.
Methods Used
This prospective cohort study included 2,001 American Indian adults from the Strong Heart Family Study, free of diabetes and cardiovascular disease at baseline. Dietary intake was assessed using a Block food-frequency questionnaire at baseline, and incident diabetes was defined using 2003 American Diabetes Association criteria at a 5-year follow-up. Associations were analyzed using generalized estimating equations, adjusting for age, sex, site, total calories, education, smoking, alcohol, family history, physical activity, glycemic load, fiber, and BMI.
Main Finding
Participants in the highest quartile of processed meat intake had 63% greater odds of developing type 2 diabetes (OR: 1.63; 95% CI: 1.21, 2.63) compared to the lowest quartile. Spam intake was associated with more than double the odds (OR: 2.06; 95% CI: 1.30, 3.27), and lunch meat with 44% higher odds (OR: 1.44; 95% CI: 1.01, 2.06). Unprocessed red meat intake showed no significant association (OR: 0.90; 95% CI: 0.59, 1.37).
Confidence Level
The study used a prospective design with multivariate adjustment for key confounders and reported effect sizes with confidence intervals, supporting moderate to high internal validity. However, dietary self-reporting and residual confounding may affect accuracy. The findings are robust within the studied population but may have limited generalizability.
Study Flags
Red Flags
- •Self-reported dietary data may introduce measurement error
- •Study population is specific to American Indians; findings may not generalize
- •Study has corrections/errata published—readers should consult updated notices
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
Hot dogs and breakfast sausages weren’t linked to higher diabetes risk, but spam and lunch meat were.
Most public health messaging groups all processed meats together. This study shows not all processed meats carry the same risk—even within the same category.
Practical Takeaways
Swap spam or canned meats for fresh or frozen unprocessed meats when possible.
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 555 / 100
Probability of being correct
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.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched a group of people over time to see who got diabetes and what they ate. It found that people who ate more processed meat like spam were more likely to get diabetes, but it can't prove that the meat caused the diabetes—other factors might be involved.
Strengths
- Prospective design with baseline and follow-up exams
- Objective diabetes diagnosis using fasting glucose (not self-report)
- Large sample size (n=2001)
Weaknesses
- Dietary intake assessed by FFQ (recall bias, measurement error)
- Residual confounding possible (e.g., socioeconomic status, food access)
- No data on changes in diet over time
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Scientists looked at what American Indian adults ate and whether they got diabetes over 5 years. They wanted to see if eating processed meats like spam or hot dogs was linked to diabetes, and if regular red meat like steak was different.
Research results
People who ate the most processed meat had 63% higher odds of getting diabetes. Those who ate the most spam had more than double the odds. Eating regular red meat like beef or steak was not linked to higher diabetes risk.
What this means - more context
Yes, the result is meaningful—especially for communities with high processed meat consumption. Replacing spam with healthier protein sources could help lower diabetes risk.
The study aimed to examine the associations between processed and unprocessed red meat intake and incident type 2 diabetes in American Indian adults, a population with high diabetes risk and frequent consumption of processed meats like spam.
In a prospective cohort of American Indian adults, higher intake of processed meat, particularly spam and lunch meat, was significantly associated with increased risk of developing type 2 diabetes over approximately 8 years. Unprocessed red meat intake showed no significant association with diabetes risk. The link between processed meat and diabetes was partially mediated by BMI but remained significant after adjustment.
Methods Used
This prospective cohort study included 2,001 American Indian adults from the Strong Heart Family Study, free of diabetes and cardiovascular disease at baseline. Dietary intake was assessed using a Block food-frequency questionnaire at baseline, and incident diabetes was defined using 2003 American Diabetes Association criteria at a 5-year follow-up. Associations were analyzed using generalized estimating equations, adjusting for age, sex, site, total calories, education, smoking, alcohol, family history, physical activity, glycemic load, fiber, and BMI.
Main Finding
Participants in the highest quartile of processed meat intake had 63% greater odds of developing type 2 diabetes (OR: 1.63; 95% CI: 1.21, 2.63) compared to the lowest quartile. Spam intake was associated with more than double the odds (OR: 2.06; 95% CI: 1.30, 3.27), and lunch meat with 44% higher odds (OR: 1.44; 95% CI: 1.01, 2.06). Unprocessed red meat intake showed no significant association (OR: 0.90; 95% CI: 0.59, 1.37).
Confidence Level
The study used a prospective design with multivariate adjustment for key confounders and reported effect sizes with confidence intervals, supporting moderate to high internal validity. However, dietary self-reporting and residual confounding may affect accuracy. The findings are robust within the studied population but may have limited generalizability.
Study Flags
Red Flags
- •Self-reported dietary data may introduce measurement error
- •Study population is specific to American Indians; findings may not generalize
- •Study has corrections/errata published—readers should consult updated notices
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
Hot dogs and breakfast sausages weren’t linked to higher diabetes risk, but spam and lunch meat were.
Most public health messaging groups all processed meats together. This study shows not all processed meats carry the same risk—even within the same category.
Practical Takeaways
Swap spam or canned meats for fresh or frozen unprocessed meats when possible.
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 555 / 100
Probability of being correct
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.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study watched a group of people over time to see who got diabetes and what they ate. It found that people who ate more processed meat like spam were more likely to get diabetes, but it can't prove that the meat caused the diabetes—other factors might be involved.
Strengths
- Prospective design with baseline and follow-up exams
- Objective diabetes diagnosis using fasting glucose (not self-report)
- Large sample size (n=2001)
Weaknesses
- Dietary intake assessed by FFQ (recall bias, measurement error)
- Residual confounding possible (e.g., socioeconomic status, food access)
- No data on changes in diet over time
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
The study was well-run: it used blood tests to check for diabetes, asked detailed questions about diet, and accounted for things like age and exercise. However, it relied on people remembering what they ate, which isn't perfect, so we should be careful not to jump to strong conclusions.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
38 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=2001)+20/20
- Follow-up+10/10
100 / 100
54 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervals+15/15
- 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 555 / 100
Probability of being correct
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.
This design cannot establish causation — the findings describe an association, not a cause. This is an observational cohort study without randomization or blinding. It can identify associations but cannot prove causation due to potential confounding factors, even after statistical adjustments.
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