Ecological studyindependent cross-checkabstract checked★ key study I-LIFE-105 standard review

Less active jobs and weight gain

Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity.

Overview

Church TS et al.. PLoS One 2011 · PMID 21647427 · DOI 10.1371/journal.pone.0019657

US jobs became less active since 1960, and models suggest this could explain much of the weight gain.

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

Original publication

Plain-language summary

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

Link job activity to weight trends.

How was the study done?

Modelling with labour and survey data.

How many people, animals or samples were studied?

US population.

What was actually found?

>100 kcal/day decrease in job energy expenditure.

How large was the observed effect?

142 kcal/day in men.

What do the results mean in everyday life?

Less physical work may contribute to weight gain.

What are the study's limitations?

Ecological model.

What does it say about Elawady's specific claim?

Partly supports the claim.

Do the results apply to Germany and Europe?

Applies; same physiology.

What can explicitly not be concluded from this study?

Individual causation.

Scientific in-depth review

1. Full reference

Authors
Church TS et al.
Journal
PLoS One
Year
2011
Identifier
PMID 21647427 DOI 10.1371/journal.pone.0019657
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

not stated in abstract

2. Research question

How have occupational physical activity trends related to US weight gain since 1960?

3. Study design and population

Study design
Ecological study – Ecological modelling study (labour statistics + NHANES weights)
Population

US workforce

Country

USA

Period

1960-2006

Sample size

Population data (US Bureau of Labor Statistics; NHANES)

Inclusion and exclusion criteria

not stated in abstract

4. Methods and endpoints

Exposure / intervention

Decline in occupational energy expenditure

Comparator

1960s levels

Endpoints

Modelled vs observed weight

Statistical methods

Energy-balance model

5. Actual results

Results

Jobs requiring at least moderate activity fell from almost half to <20%; daily occupation-related energy expenditure fell by >100 kcal; in men a 142 kcal decrease predicted weight rising from 76.9 kg to 89.7 kg, close to observed 91.8 kg.

Absolute risks

not reported

Authors' conclusion

Reduced occupational energy expenditure accounts for a significant portion of the increase in mean US body weights.

6. Strengths

  • Long time series

7. Weaknesses

  • Ecological; modelled, not measured expenditure
  • Ignores compensation in leisure activity and intake

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
high
Rationale

Ecological modelling; strong assumptions.

9. Assessment of the statistical interpretation

Model fit does not prove causation; contradicted by direct DLW data (I-LIFE-104).

10. Relevance to the specific claim

Strongest supporting evidence for inactivity as a major cause of weight gain; weak design.

11. Independent contrary findings

12. Transferability to Germany and Europe

Universal biology; applies in Europe and Egypt.

13. Overall methodological judgement

Supporting but low quality; outweighed by direct energy expenditure measurements.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitylow
Risk of biashigh
Precision of resultsnot applicable
Directnessindirect
Reproducibilitynot replicated
Consistency with the overall evidenceinconsistent
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

15. Linked fact checks