Cited by 349Obesity, Physical Activity, DietIndigenous Health and EducationRegulation of Appetite and Obesity

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index; none of the 36 sources its claims cite is checked for support yet.

Hunter-Gatherer Energetics and Human Obesity

Open access

Abstract

Western lifestyles differ markedly from those of our hunter-gatherer ancestors, and these differences in diet and activity level are often implicated in the global obesity pandemic. However, few physiological data for hunter-gatherer populations are available to test these models of obesity. In this study, we used the doubly-labeled water method to measure total daily energy expenditure (kCal/day) in Hadza hunter-gatherers to test whether foragers expend more energy each day than their Western counterparts. As expected, physical activity level, PAL, was greater among Hadza foragers than among Westerners. Nonetheless, average daily energy expenditure of traditional Hadza foragers was no different than that of Westerners after controlling for body size. The metabolic cost of walking (kcal kg(-1) m(-1)) and resting (kcal kg(-1) s(-1)) were also similar among Hadza and Western groups. The similarity in metabolic rates across a broad range of cultures challenges current models of obesity suggesting that Western lifestyles lead to decreased energy expenditure. We hypothesize that human daily energy expenditure may be an evolved physiological trait largely independent of cultural differences.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Doubly labeled water measurements in Hadza hunter-gatherers show that, despite higher physical activity levels and lower body fat than Westerners, their total daily energy expenditure is similar after controlling for body size. The paper argues that obesity differences between populations are more likely driven by energy intake than by reduced energy expenditure from Western lifestyles.

Key findings

  • Hadza adults had lower body fat than Western adults: Hadza women 20.9±4.6% and men 13.5±4.2%, versus Western women 37.9±7.0% and men 22.5±5.0%.
  • TEE did not differ between Hadza and Western groups after controlling for fat-free mass and age: Hadza women 1877±364 kCal/day vs Western women 2347±360 kCal/day; Hadza men 2649±395 kCal/day vs Western men 3053±464 kCal/day; lifestyle had no effect on TEE (women: F(139)=0.18, p=0.67; men: F(49)=0.17, p=0.68).
  • Physical activity level was higher among Hadza men (2.26±0.48) than Western men (1.81±0.21; F(43)=13.07, p=0.001), and slightly higher among Hadza women (1.78±0.30) than Western women (1.68±0.22; F(162)=3.80, p=0.05).
  • Farming populations had higher TEE than predicted for body size, while Hadza did not differ from market-economy populations (t(155)=−0.35, p=0.73); farming groups had consistently greater TEE in population comparisons (t=2.76, p=0.006).

Methods

  • TEE was measured using doubly labeled water over an 11-day period in 30 Hadza adults (13 men ages 18–65, 17 women ages 18–75); PAL was calculated as TEE/estimated BMR.
  • Daily walking distance was measured with GPS in Hadza subjects; resting metabolic rate and walking cost were measured with portable respirometry in subsets (RMR n=19; walking cost n=14).
  • Comparative analyses used previous DLW studies and new U.S. adult measurements (n=68), plus a population-level meta-analysis of 198 single-sex cohorts representing 4,972 subjects; generalized linear models controlled for fat-free mass, age, sex, and body size where applicable.

Limitations

  • The paper states it was not an intervention study: it examined habitual TEE, PAL, and body composition but did not test the effects of imposing increased physical activity on Westerners.
  • The paper states that TEE and PAL measurements of other traditional populations, preferably hunter-gatherers, are needed to assess whether the Hadza pattern is typical of human foragers.
  • The paper notes that BMR was estimated rather than measured for Hadza subjects, and that fat-free mass was unavailable for most populations in population-level analyses, so total body mass was used as a body-size index; evident from the text, Hadza subsamples for RMR and walking cost were small (n=19 and n=14), and the comparative dataset combines heterogeneous prior studies.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0040503

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

0 of 36 cited sources checked · 0 supported · 0 flagged

Show all 38 claims

  • Probably not a substantial claim. 13
  • It may state two separate claims as one. 17
27 of 27
  • The paper relies on this without support.

    The proximate cause of weight gain is energy imbalance, with food energy intake exceeding total energy expenditure.

    “The proximate cause of weight gain is energy imbalance, with food energy intake (kCal/day) exceeding total energy expenditure (kCal/day), but the societal causes of the global obesity pandemic remain a focus of debate [1]–[7].”
1 of 1

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentt(155) = -0.35reported p = .73 · recomputed p = .727

    “t(155) = −0.35, p = .73”

1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Self-check results appear here once an independent check has confirmed them.

Citations

Cites

Flagged first, then by citations

Show all 50 references

Cited by

Sorted by citations

Items 101–200 of 348

Metadata

Authors
Pontzer, H., Raichlen, D. A., Wood, B. M., Mabulla, A. Z. P., Racette, S. B., & Marlowe, F. W.
Affiliations
  • Hunter College (US)
  • University of Arizona (US)
  • Yale University (US)
  • University of Dar es Salaam (TZ)
  • Washington University in St. Louis (US)
  • University of Cambridge (GB)
Corresponding author
Pontzer, Herman
Venue
PLoS ONE
Published
2012-07-25
Volume
7
Issue
7
Pages
e40503
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1975274499
Cited by
349
References
50
Citations by year
2026: 15 · 2025: 23 · 2024: 19 · 2023: 31 · 2022: 22 · 2021: 36 · 2020: 41 · 2019: 15 · 2018: 21 · 2017: 24 · 2016: 32 · 2015: 18 · 2014: 21 · 2013: 24 · 2012: 6
FWCI
21.31
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
  • CUNY Academic Works (City University of New York) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Science Foundation
  • University of Arizona
  • Tanzania Commission for Science and Technology
  • National Institute for Medical Research
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Indigenous Health and Education
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
Keywords
hunter-gatherers, Hadza, human obesity, daily energy expenditure, physical activity level, energy cost of walking, resting metabolic rate, Western lifestyle, evolutionary physiology
MeSH terms
Adult, Aged, Aged, 80 and over, Energy Metabolism, Female, Humans, Life Style, Male, Middle Aged, Motor Activity, Obesity, Walking

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review