Evidence map›Paper›PMID 38337152›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2024

The human biology of spaceflight.

Mallika S Sarma, Mark Shelhamer

Abstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Can Humanity Thrive Beyond the Galaxy?The Journal of reproduction and development · 2025
    Review
  5. The now and future of human biology at the extremes: An introduction to the special issue.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
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

2 authors.

Mallika S SarmaHuman Spaceflight Lab, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6693-9382
Mark ShelhamerHuman Spaceflight Lab, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Funding

Training Program in Hearing and BalanceT32DC000023 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CULLEN, KATHLEEN E · 1989 to 2025
$8.7M
NIDCD NIH HHS T32 DC000023NIH HHS
6 · The paper itself

Abstract

To expand the human exploration footprint and reach Mars in the 2030s, we must explore how humans survive and thrive in demanding, unusual, and novel ecologies (i.e., extreme environments). In the extreme conditions encountered during human spaceflight, there is a need to understand human functioning and response in a more rigorous theoretically informed way. Current models of human performance in space-relevant environments and human space science are often operationally focused, with emphasis on acute physiological or behavioral outcomes. However, integrating current perspectives in human biology allows for a more holistic and complete understanding of how humans function over a range of time in an extreme environment. Here, we show how the use of evolution-informed frameworks (i.e., models of life history theory to organize the adaptive pressures of spaceflight and biocultural perspectives) coupled with the use of mixed-methodological toolkits can shape models that better encompass the scope of biobehavioral human adjustment to long-duration space travel and extra-terrestrial habitation. Further, we discuss how we can marry human biology perspectives with the rigorous programmatic structures developed for spaceflight to model other unknown and nascent extremes.

Indexed as

Space FlightBiologyHumansTime Factors

Identifiers

PMID38337152
PMCPMC10940193

What OpenQuestion holds

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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.