Evidence map›Paper›PMID 32152112›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Sitting, squatting, and the evolutionary biology of human inactivity.

David A Raichlen, Herman Pontzer, Theodore W Zderic, Jacob A Harris, Audax Z P Mabulla, Marc T Hamilton, Brian M Wood

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Preclinical techniques to investigate exercise training in vascular pathophysiology.American journal of physiology. Heart and circulatory physiology · 2021
    Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Low-to-Moderate Daytime Physical Activities Predicted Higher-Quality Sleep Among Habitually Active Agropastoralists.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Sedentary behavior and lifespan brain health.Trends in cognitive sciences · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

David A RaichlenHuman and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089; david.raichlen@usc.edu.
Herman PontzerDepartment of Evolutionary Anthropology, Duke University, Durham, NC 27708.
Theodore W ZdericDepartment of Health and Human Performance, University of Houston, Houston, TX 77204.
Jacob A HarrisDepartment of Anthropology, University of California, Los Angeles, CA 90095.
Audax Z P MabullaDepartment of Archaeology, University of Dar es Salaam, Dar es Salaam, Tanzania.
Marc T HamiltonDepartment of Health and Human Performance, University of Houston, Houston, TX 77204.
Brian M WoodDepartment of Anthropology, University of California, Los Angeles, CA 90095.ORCID 0000-0002-8187-9429
University of California, Los Angeles · USUniversity of Houston · USDuke University · USUniversity of Dar es Salaam · TZUniversity of Southern California · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Recent work suggests human physiology is not well adapted to prolonged periods of inactivity, with time spent sitting increasing cardiovascular disease and mortality risk. Health risks from sitting are generally linked with reduced levels of muscle contractions in chair-sitting postures and associated reductions in muscle metabolism. These inactivity-associated health risks are somewhat paradoxical, since evolutionary pressures tend to favor energy-minimizing strategies, including rest. Here, we examined inactivity in a hunter-gatherer population (the Hadza of Tanzania) to understand how sedentary behaviors occur in a nonindustrial economic context more typical of humans' evolutionary history. We tested the hypothesis that nonambulatory rest in hunter-gatherers involves increased muscle activity that is different from chair-sitting sedentary postures used in industrialized populations. Using a combination of objectively measured inactivity from thigh-worn accelerometers, observational data, and electromygraphic data, we show that hunter-gatherers have high levels of total nonambulatory time (mean ± SD = 9.90 ± 2.36 h/d), similar to those found in industrialized populations. However, nonambulatory time in Hadza adults often occurs in postures like squatting, and we show that these "active rest" postures require higher levels of lower limb muscle activity than chair sitting. Based on our results, we introduce the Inactivity Mismatch Hypothesis and propose that human physiology is likely adapted to more consistently active muscles derived from both physical activity and from nonambulatory postures with higher levels of muscle contraction. Interventions built on this model may help reduce the negative health impacts of inactivity in industrialized populations.

Indexed as

Biological EvolutionSedentary BehaviorAccelerometryAdolescentAdultFemaleHumansMaleMiddle AgedMuscle, SkeletalPostureYoung Adultcardiovascular diseasehunter-gathererphysical activityposturesedentary

Identifiers

PMID32152112
PMCPMC7132251
OpenAlexW3010374190

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.