Study analysis · European Journal of Nutrition · 2025
Eating more protein-rich foods could boost your chances of living to 100 by 83%—here’s what the science says.
Older people in China who eat more kinds of protein-rich foods like meat, fish, eggs, and beans are more likely to stay healthy and live longer.
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 shows that older Chinese people who eat a more varied diet with more protein tend to live longer and age better, but it doesn’t prove that the diet caused this. It’s like noticing that people who wear hats also carry umbrellas — they go together, but one doesn’t necessarily cause the other.
What’s the bottom line?
Older people in China who eat a variety of foods with more protein, like meat, fish, eggs, and beans, are more likely to age well and live longer.
How strong is this study?
The study followed people over time, which is good, but it didn’t control their diets or randomly assign them to groups. That means other things — like how much they exercise or their income — could also explain the results. So, we can’t be totally sure the diet is what made the difference.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
0 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample sizeno sample size reported
- Follow-upno follow-up reported
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 533 / 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 based on self-reported dietary data and statistical associations. The abstract does not mention randomization or any intervention, so causation cannot be inferred. Confounding factors may influence results.
Key takeaways
- 01
For every step up in healthy protein-rich eating, there was 20% better chance of healthy aging, 26% higher chance of living longer, and 83% higher chance of living to a very old age.
- 02
Yes, these numbers suggest that eating more varied, protein-rich foods is linked to much better chances of living well and longer in old age.
Surprising findings
- Protein-enriched dietary diversity showed stronger associations with extreme longevity than other dietary indices studied.Most longevity research emphasizes plant-based or calorie-restricted diets; this highlights protein diversity as a potentially underappreciated factor.
Practical takeaways
Include a wider variety of protein sources in your diet, such as fish, poultry, eggs, legumes, and lean meats, especially if you're over 65.
The study only shows an association, not causation, and was conducted in older Chinese adults—results may not apply to other populations or younger people.
low confidenceWhy this study matters
Protein Variety Linked to Healthy Aging
Each standard deviation increase in the protein-enriched dietary diversity index (PEDDI) was tied to a 20% higher odds of successful aging (OR = 1.20, 95% CI: 1.06–1.36). This means older adults eating a wider range of protein sources were more likely to age well without major disease or disability.
It’s not just about eating protein—it’s about eating *different kinds* of protein, which may provide a broader range of nutrients that support long-term health.
Longer Life with More Protein Diversity
For every step up in PEDDI score, there was a 26% higher hazard of longevity (HR = 1.26, 95% CI: 1.14–1.39), meaning participants with more diverse protein intake were significantly more likely to live longer during the study period.
This suggests that how you eat—not just how much—could be a key factor in extending lifespan, especially in older adults.
Extreme Longevity Nearly Doubled
Those in the top third of PEDDI scores had 83% higher odds of extreme longevity compared to the lowest third (OR = 1.83, 95% CI: 1.01–3.30), showing a strong link between protein-rich dietary variety and surviving into very old age.
Reaching 90 or 100 isn’t just luck—diet patterns in later life may play a measurable role.
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
Older people in China who eat a variety of foods with more protein, like meat, fish, eggs, and beans, are more likely to age well and live longer.
Research results
For every step up in healthy protein-rich eating, there was 20% better chance of healthy aging, 26% higher chance of living longer, and 83% higher chance of living to a very old age.
What this means - more context
Yes, these numbers suggest that eating more varied, protein-rich foods is linked to much better chances of living well and longer in old age.
The study aimed to evaluate the associations between various dietary indices and successful aging, longevity, and extreme longevity among older Chinese adults aged 65 years or older.
The study found that higher scores on the protein-enriched dietary diversity index (PEDDI) were statistically associated with increased odds of successful aging, longevity, and extreme longevity in older Chinese adults.
Methods Used
A food frequency questionnaire was used to construct seven dietary indices, including PEDDI. Associations were analyzed using logistic regression or Cox proportional hazards models, with restricted cubic splines to assess non-linear relationships. The study population consisted of Chinese adults aged 65 years or older.
Main Finding
Each standard deviation increase in PEDDI was associated with a 20% higher odds of successful aging (OR = 1.20, 95% CI: 1.06–1.36), a 26% higher hazard of longevity (HR = 1.26, 95% CI: 1.14–1.39), and individuals in the highest tertile of PEDDI had 83% higher odds of extreme longevity compared to the lowest tertile (OR = 1.83, 95% CI: 1.01–3.30).
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Sample size not specified in abstract
- •Potential confounding factors not mentioned 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
Protein-enriched dietary diversity showed stronger associations with extreme longevity than other dietary indices studied.
Most longevity research emphasizes plant-based or calorie-restricted diets; this highlights protein diversity as a potentially underappreciated factor.
Practical Takeaways
Include a wider variety of protein sources in your diet, such as fish, poultry, eggs, legumes, and lean meats, especially if you're over 65.
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 533 / 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
Lower probability
on the GRADE evidence scale
This study shows that older Chinese people who eat a more varied diet with more protein tend to live longer and age better, but it doesn’t prove that the diet caused this. It’s like noticing that people who wear hats also carry umbrellas — they go together, but one doesn’t necessarily cause the other.
Strengths
- Prospective cohort design allows temporal sequence assessment
- Multiple dietary indices analyzed
- Use of both logistic and Cox regression models appropriate for different outcomes
Weaknesses
- Full methodology not available - based on abstract only
- Randomization status: Unknown → not an RCT
- Blinding status: Unknown → likely not applicable in observational study but limits bias assessment
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Older people in China who eat a variety of foods with more protein, like meat, fish, eggs, and beans, are more likely to age well and live longer.
Research results
For every step up in healthy protein-rich eating, there was 20% better chance of healthy aging, 26% higher chance of living longer, and 83% higher chance of living to a very old age.
What this means - more context
Yes, these numbers suggest that eating more varied, protein-rich foods is linked to much better chances of living well and longer in old age.
The study aimed to evaluate the associations between various dietary indices and successful aging, longevity, and extreme longevity among older Chinese adults aged 65 years or older.
The study found that higher scores on the protein-enriched dietary diversity index (PEDDI) were statistically associated with increased odds of successful aging, longevity, and extreme longevity in older Chinese adults.
Methods Used
A food frequency questionnaire was used to construct seven dietary indices, including PEDDI. Associations were analyzed using logistic regression or Cox proportional hazards models, with restricted cubic splines to assess non-linear relationships. The study population consisted of Chinese adults aged 65 years or older.
Main Finding
Each standard deviation increase in PEDDI was associated with a 20% higher odds of successful aging (OR = 1.20, 95% CI: 1.06–1.36), a 26% higher hazard of longevity (HR = 1.26, 95% CI: 1.14–1.39), and individuals in the highest tertile of PEDDI had 83% higher odds of extreme longevity compared to the lowest tertile (OR = 1.83, 95% CI: 1.01–3.30).
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Sample size not specified in abstract
- •Potential confounding factors not mentioned 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
Protein-enriched dietary diversity showed stronger associations with extreme longevity than other dietary indices studied.
Most longevity research emphasizes plant-based or calorie-restricted diets; this highlights protein diversity as a potentially underappreciated factor.
Practical Takeaways
Include a wider variety of protein sources in your diet, such as fish, poultry, eggs, legumes, and lean meats, especially if you're over 65.
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 533 / 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
Lower probability
on the GRADE evidence scale
This study shows that older Chinese people who eat a more varied diet with more protein tend to live longer and age better, but it doesn’t prove that the diet caused this. It’s like noticing that people who wear hats also carry umbrellas — they go together, but one doesn’t necessarily cause the other.
Strengths
- Prospective cohort design allows temporal sequence assessment
- Multiple dietary indices analyzed
- Use of both logistic and Cox regression models appropriate for different outcomes
Weaknesses
- Full methodology not available - based on abstract only
- Randomization status: Unknown → not an RCT
- Blinding status: Unknown → likely not applicable in observational study but limits bias assessment
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
The study followed people over time, which is good, but it didn’t control their diets or randomly assign them to groups. That means other things — like how much they exercise or their income — could also explain the results. So, we can’t be totally sure the diet is what made the difference.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
0 / 100
- Randomizationrandomization unclear
- Blindingblinding unclear
- Control groupno control group
- Sample sizeno sample size reported
- Follow-upno follow-up reported
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 533 / 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 based on self-reported dietary data and statistical associations. The abstract does not mention randomization or any intervention, so causation cannot be inferred. Confounding factors may influence results.
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.
- Contradicted
Evidence contradicts this claim.
Evidence