Cross-sectional studyindependent cross-checkabstract checked★ key study I-LIFE-104 in-depth review

Do we burn less energy in modern life?

Energy expenditure and obesity across the economic spectrum.

Overview

McGrosky A et al.. Proc Natl Acad Sci U S A 2025 · PMID 40658837 · DOI 10.1073/pnas.2420902122

People in industrialised countries burn about as much energy as hunter-gatherers; eating more, not moving less, explains most weight gain.

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

Original publication

Plain-language summary

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

Compare energy expenditure across lifestyles.

How was the study done?

Doubly labelled water in 4,213 adults from 34 populations.

How many people, animals or samples were studied?

4,213 adults worldwide.

What was actually found?

Expenditure explains ~10% of excess fat; intake/UPF much more.

How large was the observed effect?

Size-adjusted TEE 6-11% lower with development.

What do the results mean in everyday life?

Movement is healthy, but diet drives most weight gain.

What are the study's limitations?

Cross-sectional.

What does it say about Elawady's specific claim?

Contradicts the claim.

Do the results apply to Germany and Europe?

Applies; same physiology.

What can explicitly not be concluded from this study?

Individual-level causes.

Scientific in-depth review

1. Full reference

Authors
McGrosky A et al.
Journal
Proc Natl Acad Sci U S A
Year
2025
Identifier
PMID 40658837 DOI 10.1073/pnas.2420902122
Verification
verified – PubMed efetch 2026-10-26; Crossref update-to/updated-by check
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

No competing interests.

2. Research question

Is obesity with economic development explained more by reduced energy expenditure or by increased intake?

3. Study design and population

Study design
Cross-sectional study – Cross-sectional comparison of doubly-labelled-water energy expenditure across 34 populations
Population

Adults from hunter-gatherer, pastoralist, farming and industrialised populations

Country

34 populations on six continents

Period

not stated in abstract

Sample size

4,213 adults

Inclusion and exclusion criteria

not stated in abstract

4. Methods and endpoints

Exposure / intervention

Economic development / lifestyle

Comparator

Less developed populations

Endpoints

TEE, BEE, AEE, body fat %, BMI

Statistical methods

Regression

5. Actual results

Results

Development associated with greater body mass, BMI and body fat but also greater total, basal and activity energy expenditure; size-adjusted TEE and BEE decreased about 6-11% with development; adjusted TEE accounted for roughly one-tenth of the elevated body fat and BMI; estimated intake greater in developed populations; % ultra-processed food associated with body fat (25 populations).

Absolute risks

not reported

Authors' conclusion

Dietary intake plays a far greater role than reduced energy expenditure in obesity related to economic development.

6. Strengths

  • Gold-standard energy expenditure measure
  • Very diverse populations

7. Weaknesses

  • Cross-sectional
  • Intake estimated, not measured

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Observational; ecological component.

9. Assessment of the statistical interpretation

Expenditure explains about 10% of the development-related fat excess.

10. Relevance to the specific claim

Directly contradicts 'lack of movement is the origin of weight gain': lower activity explains only a small share of population obesity.

11. Independent contrary findings

12. Transferability to Germany and Europe

Universal biology; applies in Europe and Egypt.

13. Overall methodological judgement

Strong contradicting evidence for the single-cause claim.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biassome concerns
Precision of resultsmoderate
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidenceconsistent
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

15. Linked fact checks