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Do tea drinkers live shorter or longer?

Tea consumption and risk of all-cause, cardiovascular disease, and cancer mortality: a meta-analysis of thirty-eight prospective cohort data sets.

Overview

Kim Y et al.. Epidemiology and health 2024 · PMID 38938012 · DOI 10.4178/epih.e2024056

Across nearly 2 million people, tea drinkers had about 10% lower death rates than non-drinkers.

Does the study support the specific claim? No · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Tea and risk of death

How was the study done?

Meta-analysis of 38 cohort data sets

How many people, animals or samples were studied?

1,956,549 participants

What was actually found?

Lower all-cause and cardiovascular mortality with tea

How large was the observed effect?

All-cause 0.90 (0.86-0.95); CVD 0.86 (0.79-0.94)

What do the results mean in everyday life?

Usual tea drinking is not linked to harm

What are the study's limitations?

Observational; high heterogeneity; benefit seen mainly in Asian studies, not in European ones

What does it say about Elawady's specific claim?

Contradicts 'second most dangerous drink'

Do the results apply to Germany and Europe?

Moderate (no association in European cohorts, but no harm either)

What can explicitly not be concluded from this study?

That tea itself causes the lower risk

Scientific in-depth review

1. Full reference

Authors
Kim Y et al.
Journal
Epidemiology and health
Year
2024
Identifier
PMID 38938012 DOI 10.4178/epih.e2024056
Verification
verified – PubMed efetch 2026-10-25
Retracted
no
Corrections
none
Extent checked
full text
Conflicts of interest and funding

National Research Foundation of Korea (NRF-2021R1F1A1050847); funders had no role; authors declare no conflicts of interest.

2. Research question

Association between tea consumption and all-cause, cardiovascular and cancer mortality

3. Study design and population

Study design
Meta-analysis – Systematic review and meta-analysis of prospective cohort studies
Population

General adult populations in prospective cohorts (studies restricted to patients with a specific disease excluded); cohorts from Asia, Europe, USA and Oceania; mean follow-up 12.3 years (5-23 years)

Country

Asia (incl. Japan, China, Korea, Singapore), Europe (UK, Netherlands, Finland, Scotland), USA, Australia; no Middle Eastern or African cohorts

Period

PubMed, Web of Science, Scopus searched to April 2024 (English only); PROSPERO CRD42023400484

Sample size

38 cohort data sets (27 papers), 1,956,549 participants; 218,948 all-cause, 53,234 CVD and 56,049 cancer deaths

Inclusion and exclusion criteria

Prospective observational design; tea exposure; all-cause, CVD or cancer mortality; RR/HR with 95% CI per intake group; most extended/largest report per cohort; patient-only cohorts excluded; English-language publications.

4. Methods and endpoints

Exposure / intervention

Tea consumption (highest vs lowest; dose-response)

Comparator

Lowest or no tea consumption

Endpoints

All-cause, CVD and cancer mortality

Statistical methods

DerSimonian-Laird random effects (highest vs lowest); Q and I2; subgroups by sex, region, follow-up, sample size; leave-one-out; Begg and Egger tests; linear and restricted cubic spline (4 knots) dose-response, 1 cup = 150 mL; Newcastle-Ottawa quality (all studies 7-9).

5. Actual results

Results

Highest vs lowest: all-cause mortality 0.90 (0.86-0.95; I2 81.6%; 33 data sets); CVD mortality 0.86 (0.79-0.94; I2 74.6%; 31 data sets); cancer mortality 0.90 (0.78-1.03; I2 78.8%; 22 data sets). All-cause by region: Asia 0.84 (0.77-0.91); Europe 1.12 (0.88-1.42), P difference 0.05. Non-linear dose-response: greatest all-cause reduction at 2.0 cups/day (0.91, 0.88-0.94), cancer at 1.5 cups/day (0.92, 0.89-0.96); CVD plateau at 1.5-3.0 cups/day with ES 27% lower up to 8.0 cups/day. No publication bias (all-cause Begg P=0.97, Egger P=0.75).

Absolute risks

not reported in full text

Authors' conclusion

Moderate daily tea consumption (1.5-2.0 cups/day) was associated with lower risks of mortality from all causes, CVD and cancer in the general population; well-designed cohorts analysing tea types are needed.

6. Strengths

  • Pre-registered (PROSPERO); three databases plus reference lists
  • Large number of prospective cohorts and participants incl. UK Biobank and Asia Cohort Consortium
  • Dose-response modelling; leave-one-out stable; no publication bias detected

7. Weaknesses

  • Observational cohorts: residual confounding and healthy-user effects; adjustment sets vary
  • High heterogeneity (I2 75-82%)
  • English-only search; selection not explicitly in duplicate (extraction was); no list of excluded studies in main text
  • Tea type, strength, additions (milk, sugar) and cup size mostly unreported
  • No association in European cohorts (all-cause ES 1.12, 0.88-1.42); no Middle Eastern/African data
  • Newcastle-Ottawa only (no domain-based RoB); funding of included studies not reported

8. Risk of bias

Orienting tool
AMSTAR 2
Type of assessment
structured assessment based on the full text by a single reviewer (no formal double review)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Overall unchanged (approximately low-to-moderate confidence by AMSTAR 2; several critical items only partially met). The main limitation is residual confounding in observational cohorts. Simplified single-reviewer judgement from the full text; a formal AMSTAR 2 assessment needs two independent reviewers.

8. Risk of bias
DomainJudgementRationale
Item 1 PICOlowClearly defined.
Item 2 (critical) protocollowRegistered on PROSPERO (CRD42023400484).
Item 4 (critical) comprehensive searchsome concernsThree databases plus reference lists; restricted to English; no grey literature.
Items 5-6 duplicate selection and extractionsome concernsExtraction in duplicate; duplicate screening not described.
Item 7 (critical) excluded studiessome concernsFlow chart only in main text; no list of excluded full texts visible.
Item 9 (critical) RoB of individual studiessome concernsNewcastle-Ottawa scale (all 7-9); confounding not assessed domain-wise.
Item 10 funding of included studieshighNot reported.
Item 11 (critical) meta-analytic methodslowRandom effects, appropriate dose-response methods.
Item 13 (critical) RoB in interpretationsome concernsLimitations listed, but conclusion phrased in terms of recommended intake levels from observational data.
Item 14 heterogeneitysome concernsSubgroups explored; high residual heterogeneity unexplained.
Item 15 (critical) publication biaslowBegg, Egger and funnel plots.
Item 16 review COIlowFunding and COI declared.

Full-text review (25 October 2026): Added death counts, I2 values, regional subgroups (Europe all-cause ES 1.12, 0.88-1.42 vs Asia 0.84), PROSPERO registration, English-only search, NOS scores, funding (NRF Korea). Bias overall unchanged with itemised AMSTAR 2; consistency changed to mixed; EU transferability refined.

9. Assessment of the statistical interpretation

About 10% lower all-cause and 14% lower CVD mortality in highest vs lowest tea drinkers (relative, observational); cancer mortality CI includes 1. Association driven by Asian cohorts; European cohorts null.

10. Relevance to the specific claim

Tests whether tea is a 'dangerous' drink.

11. Independent contrary findings

Observational design; residual confounding possible.

12. Transferability to Germany and Europe

Moderate: European cohorts showed no significant association (all-cause ES 1.12, 0.88-1.42), so the inverse association is mainly from Asian (largely green tea) populations; no Middle Eastern or Egyptian cohorts.

13. Overall methodological judgement

Consistent observational evidence that habitual tea drinking is not associated with higher mortality and, mainly in Asian cohorts, with lower mortality; causation not established.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biassome concerns
Precision of resultshigh
Directnessdirect
Reproducibilityreplicated
Consistency with the overall evidencemixed
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Causality; effects of very strong or very hot tea; sugar added to tea.

15. Linked fact checks