Narrative reviewindependent cross-checkabstract only checked I-INTC-02 standard review

Too little and too much can both harm

Risk-benefit analysis of micronutrients.

Overview

Renwick AG et al.. Food Chem Toxicol 2004 · PMID 15500928 · DOI 10.1016/j.fct.2004.07.013

Nutrient risk assessment weighs the risk of deficiency against the risk of excess.

Does the study support the specific claim? Partly · Methodological quality: moderate

Original publication

Plain-language summary

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

Propose a risk-benefit model for micronutrients

How was the study done?

Methodological review

How many people, animals or samples were studied?

not applicable

What was actually found?

Benefit and toxicity follow separate intake-response curves

How large was the observed effect?

not applicable

What do the results mean in everyday life?

The amount matters: both too little and too much can be harmful.

What are the study's limitations?

No outcome data; micronutrients only

What does it say about Elawady's specific claim?

Partly supports 'any input can harm in excess'; contradicts 'zero input is best'

Do the results apply to Germany and Europe?

Applicable

What can explicitly not be concluded from this study?

Effects of specific foods

Scientific in-depth review

1. Full reference

Authors
Renwick AG et al.
Journal
Food Chem Toxicol
Year
2004
Identifier
PMID 15500928 DOI 10.1016/j.fct.2004.07.013
Verification
verified – PubMed efetch 2026-10-25
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

not stated in abstract (PubMed lists non-US government support)

2. Research question

How can the risk of deficiency (or lack of benefit) and the risk of toxicity be compared across intake levels?

3. Study design and population

Study design
Narrative review – Methodological review proposing a risk-benefit model for micronutrient intake
Population

Not applicable (method paper)

Country

not stated in abstract

Period

not applicable

Sample size

not applicable

Inclusion and exclusion criteria

not applicable

4. Methods and endpoints

Exposure / intervention

Micronutrient intake level

Comparator

Different intake levels

Endpoints

Incidence of deficiency/benefit and of adverse effects

Statistical methods

Proposed model using intake-incidence data and coefficients of variation (15% default for benefit, 45% default for toxicity)

5. Actual results

Results

Abstract: RDAs mark the intake above which the risk of deficiency is low; tolerable upper levels (UL) mark the intake below which the risk of toxicity is negligible; the model allows the risk of deficiency to be weighed against the risk of toxicity; proposed default coefficients of variation 15% (benefit) and 45% (toxicity).

Absolute risks

not applicable

Authors' conclusion

Risk managers can define intake ranges based on a balance between risks of deficiency (or lack of benefit) and toxicity.

6. Strengths

  • Explicit two-curve framework used in nutrient risk assessment

7. Weaknesses

  • Methodological proposal; no empirical outcome data
  • Micronutrients only

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
not assessable
Rationale

Method paper; no bias tool applicable.

9. Assessment of the statistical interpretation

Conceptual: harm can arise both from too little and from too much of a nutrient; health is not maximised at zero intake.

10. Relevance to the specific claim

Supports the 'dose matters' kernel (excess can harm) and contradicts the idea that less input is always better (deficiency also harms).

11. Independent contrary findings

None.

12. Transferability to Germany and Europe

The framework underlies European and international upper-level setting.

13. Overall methodological judgement

Useful conceptual source for the dose dependence of benefit and harm.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biasnot assessable
Precision of resultsnot applicable
Directnessindirect
Reproducibilityunknown
Consistency with the overall evidenceconsistent
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Applicability to whole foods rather than isolated micronutrients.

15. Linked fact checks