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Confined Spaces

Public Health and Nutrition · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 6 min read

A space which has limited openings for entry and exit combined with unfavorable natural ventilation such as caves, refrigerators, deep tunnels, pipelines, sewers, silos, tanks, vats, mines, deep trenches or pits, vaults, manholes,

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (1,095 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A space which has limited openings for entry and exit combined with unfavorable natural ventilation such as caves, refrigerators, deep tunnels, pipelines, sewers, silos, tanks, vats, mines, deep trenches or pits, vaults, manholes, chimneys, etc.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Confined Space; Space, Confined; Spaces, Confined; Unventilated Spaces; Spaces, Unventilated; Space, Unventilated; Unventilated Space.

Where it fits in the MeSH classification

Broader topics
Environment
See also
Air Pollutants, Occupational; Ventilation; Ecological Systems, Closed

Related concepts

  • Caves

Research landscape

PubMed indexes 488 records tagged with the MeSH heading “Confined Spaces” (counts retrieved 2026-10-31). 65 of them (13.3%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 212 records.

Reviews account for 38 records (7.8%) and meta-analyses for 2. Randomized controlled trials number 5 (1.0%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 21 records; 2000-2009: 190 records; 2010-2019: 212 records; 2020 onward: 65 records21through 19991902000-20092122010-2019652020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199921
2000-2009190
2010-2019212
2020 onward65
Share of records by publication typeReviews: 7.8 percent; Meta-analyses: 0.4 percent; Randomized controlled trials: 1.0 percentReviews7.8% (38)Meta-analyses0.4% (2)Randomized controlled trials1.0% (5)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 488 PubMed records
TypeRecordsShare
Reviews387.8%
Meta-analyses20.4%
Randomized controlled trials51.0%

Method: PubMed query "Confined Spaces"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in public health and nutrition

Population and nutrition studies mostly observe what people eat, breathe or are exposed to and then look for links with health, which shows association and not proof of cause. Self-reported diet is imprecise, people who eat or live differently also differ in other ways, and effects measured across a population may not apply to one person. Check the study design, how exposure was measured, what else was accounted for and the size of the effect, not only whether it was statistically significant.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Temporal dynamics of the gut microbiota in people sharing a confined environment, a 520-day ground-based space simulation, MARS500
Turroni S, Rampelli S, Biagi E, Consolandi C, Severgnini M, Peano C, et al.
2017Research article
Design not recorded in structured metadata
99cc by
PMID 28340597 · DOI · PMC5366131
Preparing for the crewed Mars journey: microbiota dynamics in the confined Mars500 habitat during simulated Mars flight and landing
Schwendner P, Mahnert A, Koskinen K, Moissl-Eichinger C, Barczyk S, Wirth R, et al.
2017Research article
Design not recorded in structured metadata
39cc by
PMID 28974259 · DOI · PMC5627443
High fidelity medical simulation in the difficult environment of a helicopter: feasibility, self-efficacy and cost
Wright SW, Lindsell CJ, Hinckley WR, Williams A, Holland C, Lewis CH, et al.
2006Research article
Design not recorded in structured metadata
27cc by
PMID 17020624 · DOI · PMC1613239
Social interactions in isolated, confined, and extreme environments: A study of Antarctic winter teams using wearable sensors
Cantisani A, Schmutz JB, Marques-Quinteiro P, Dall'Amico L, Cattuto C, Antino M, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 42189987 · DOI · PMC13229265

Temporal dynamics of the gut microbiota in people sharing a confined environment, a 520-day ground-based space simulation, MARS500 [1]

Research article Turroni S, Rampelli S, Biagi E, Consolandi C, Severgnini M, Peano C, et al. · · 2017 · cited 99 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThe intestinal microbial communities and their temporal dynamics are gaining increasing interest due to the significant implications for human health.
Closing excerpt
However, the temporal dynamics of certain microbiota components should be monitored when programming future mission simulations and real space flights, to prevent breakdowns in the metabolic and immunological homeostasis of the crewmembers.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (222 words)

BackgroundThe intestinal microbial communities and their temporal dynamics are gaining increasing interest due to the significant implications for human health. Recent studies have shown the dynamic behavior of the gut microbiota in free-living, healthy persons. To date, it is not known whether these dynamics are applicable during prolonged life sharing in a confined and controlled environment.ResultsThe MARS500 project, the longest ground-based space simulation ever, provided us with a unique opportunity to trace the crew microbiota over 520 days of isolated confinement, such as that faced by astronauts in real long-term interplanetary space flights, and after returning to regular life, for a total of 2 years. According to our data, even under the strictly controlled conditions of an enclosed environment, the human gut microbiota is inherently dynamic, capable of shifting between different steady states, typically with rearrangements of autochthonous members. Notwithstanding a strong individuality in the overall gut microbiota trajectory, some key microbial components showed conserved temporal dynamics, with potential implications for the maintenance of a health-promoting, mutualistic microbiota configuration.ConclusionsSharing life in a confined habitat does not affect the resilience of the individual gut microbial ecosystem, even in the long term. However, the temporal dynamics of certain microbiota components should be monitored when programming future mission simulations and real space flights, to prevent breakdowns in the metabolic and immunological homeostasis of the crewmembers.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 28340597 · DOI · PMC5366131

Preparing for the crewed Mars journey: microbiota dynamics in the confined Mars500 habitat during simulated Mars flight and landing [2]

Research article Schwendner P, Mahnert A, Koskinen K, Moissl-Eichinger C, Barczyk S, Wirth R, et al. · · 2017 · cited 39 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThe Mars500 project was conceived as the first full duration simulation of a crewed return flight to Mars.
Closing excerpt
Our results serve as an important data collection for (i) future risk estimations of crewed space flight, (ii) an optimized design and planning of a spacecraft mission and (iii) for the selection of appropriate microbial monitoring approaches and potential countermeasures, to ensure a microbiologically safe space-flight environment.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (343 words)

BackgroundThe Mars500 project was conceived as the first full duration simulation of a crewed return flight to Mars. For 520 days, six crew members lived confined in a specifically designed spacecraft mock-up. The herein described "MIcrobial ecology of Confined Habitats and humAn health" (MICHA) experiment was implemented to acquire comprehensive microbiota data from this unique, confined manned habitat, to retrieve important information on the occurring microbiota dynamics, the microbial load and diversity in the air and on various surfaces. In total, 360 samples from 20 (9 air, 11 surface) locations were taken at 18 time-points and processed by extensive cultivation, PhyloChip and next generation sequencing (NGS) of 16S rRNA gene amplicons.ResultsCultivation assays revealed a Staphylococcus and Bacillus-dominated microbial community on various surfaces, with an average microbial load that did not exceed the allowed limits for ISS in-flight requirements indicating adequate maintenance of the facility. Areas with high human activity were identified as hotspots for microbial accumulation. Despite substantial fluctuation with respect to microbial diversity and abundance throughout the experiment, the location within the facility and the confinement duration were identified as factors significantly shaping the microbial diversity and composition, with the crew representing the main source for microbial dispersal. Opportunistic pathogens, stress-tolerant or potentially mobile element-bearing microorganisms were predicted to be prevalent throughout the confinement, while the overall microbial diversity dropped significantly over time.ConclusionsOur findings clearly indicate that under confined conditions, the community structure remains a highly dynamic system which adapts to the prevailing habitat and micro-conditions. Since a sterile environment is not achievable, these dynamics need to be monitored to avoid spreading of highly resistant or potentially pathogenic microorganisms and a potentially harmful decrease of microbial diversity. If necessary, countermeasures are required, to maintain a healthy, diverse balance of beneficial, neutral and opportunistic pathogenic microorganisms. Our results serve as an important data collection for (i) future risk estimations of crewed space flight, (ii) an optimized design and planning of a spacecraft mission and (iii) for the selection of appropriate microbial monitoring approaches and potential countermeasures, to ensure a microbiologically safe space-flight environment.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 28974259 · DOI · PMC5627443

High fidelity medical simulation in the difficult environment of a helicopter: feasibility, self-efficacy and cost [3]

Research article Wright SW, Lindsell CJ, Hinckley WR, Williams A, Holland C, Lewis CH, et al. · · 2006 · cited 27 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThis study assessed the feasibility, self-efficacy and cost of providing a high fidelity medical simulation experience in the difficult environment of an air ambulance helicopter.
Closing excerpt
The benefits of this technology must be weighed against the cost for each institution.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (375 words)

BackgroundThis study assessed the feasibility, self-efficacy and cost of providing a high fidelity medical simulation experience in the difficult environment of an air ambulance helicopter.MethodsSeven of 12 EM residents in their first postgraduate year participated in an EMS flight simulation as the flight physician. The simulation used the Laerdal SimMantrade mark to present a cardiac and a trauma case in an EMS helicopter while running at flight idle. Before and after the simulation, subjects completed visual analog scales and a semi-structured interview to measure their self-efficacy, i.e. comfort with their ability to treat patients in the helicopter, and recognition of obstacles to care in the helicopter environment. After all 12 residents had completed their first non-simulated flight as the flight physician; they were surveyed about self-assessed comfort and perceived value of the simulation. Continuous data were compared between pre- and post-simulation using a paired samples t-test, and between residents participating in the simulation and those who did not using an independent samples t-test. Categorical data were compared using Fisher's exact test. Cost data for the simulation experience were estimated by the investigators.ResultsThe simulations functioned correctly 5 out of 7 times; suggesting some refinement is necessary. Cost data indicated a monetary cost of 440 dollars and a time cost of 22 hours of skilled instructor time. The simulation and non-simulation groups were similar in their demographics and pre-hospital experiences. The simulation did not improve residents' self-assessed comfort prior to their first flight (p > 0.234), but did improve understanding of the obstacles to patient care in the helicopter (p = 0.029). Every resident undertaking the simulation agreed it was educational and it should be included in their training. Qualitative data suggested residents would benefit from high fidelity simulation in other environments, including ground transport and for running codes in hospital.ConclusionIt is feasible to provide a high fidelity medical simulation experience in the difficult environment of the air ambulance helicopter, although further experience is necessary to eliminate practical problems. Simulation improves recognition of the challenges present and provides an important opportunity for training in challenging environments. However, use of simulation technology is expensive both in terms of monetary outlay and of personnel involvement. The benefits of this technology must be weighed against the cost for each institution.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 17020624 · DOI · PMC1613239

Social interactions in isolated, confined, and extreme environments: A study of Antarctic winter teams using wearable sensors [4]

Research article Cantisani A, Schmutz JB, Marques-Quinteiro P, Dall'Amico L, Cattuto C, Antino M, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
Long-duration space missions expose crews to extreme psychological and social stressors due to prolonged isolation and confinement.
Closing excerpt
These findings underscore the importance of monitoring psychosocial functioning during extended missions and suggest that close confinement, rather than isolation alone, may trigger interpersonal strain.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (155 words)

Long-duration space missions expose crews to extreme psychological and social stressors due to prolonged isolation and confinement. To examine how such conditions impact individual and team functioning, we studied a 10-mo Antarctic overwintering mission at Concordia Station, an analog for spaceflight, using self-report measures and wearable proximity sensors. Twelve crew members were assessed at four time-points. Results revealed a progressive increase in feelings of loneliness and conflict, while cohesion and individual performance declined. Close-range interactions were positively associated with conflicts and paranoid thoughts and negatively related with individual performance, suggesting that more frequent contact did not equate to social support. Social interactions became increasingly clustered within national groups, highlighting the risk of social fragmentation and crew polarization. The use of wearable sensors proved feasible for long-term use in extreme environments. These findings underscore the importance of monitoring psychosocial functioning during extended missions and suggest that close confinement, rather than isolation alone, may trigger interpersonal strain.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42189987 · DOI · PMC13229265

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Incidence and prevalence of hepatitis C in prisons and other closed settings: results of a systematic review and meta-analysis [5]
    Larney S, Kopinski H, Beckwith CG, Zaller ND, Jarlais DD, Hagan H, et al. · Hepatology · 2013 · cited 243 times (Europe PMC)
  • Research article Molecular engineering of confined space in metal-organic cages [6]
    Lewis JEM · Chem Commun (Camb) · 2022 · cited 54 times (Europe PMC)
  • Research article Infections in confined spaces: cruise ships, military barracks, and college dormitories [7]
    Kak V · Infect Dis Clin North Am · 2007 · cited 43 times (Europe PMC)
  • Research article Illness and injury in animal confinement workers [8]
    Von Essen S, Donham K · Occup Med · 1999 · cited 43 times (Europe PMC)
  • Research article Surviving collapsed structure entrapment after earthquakes: a "time-to-rescue" analysis [9]
    Macintyre AG, Barbera JA, Smith ER · Prehosp Disaster Med · 2006 · cited 37 times (Europe PMC)
  • Research article Individual Differences in Adaptability to Isolated, Confined, and Extreme Environments [10]
    Bartone PT, Krueger GP, Bartone JV · Aerosp Med Hum Perform · 2018 · cited 28 times (Europe PMC)

References

  1. Turroni S, Rampelli S, Biagi E, Consolandi C, Severgnini M, Peano C, et al.. Temporal dynamics of the gut microbiota in people sharing a confined environment, a 520-day ground-based space simulation, MARS500. . 2017. PMID 28340597 · DOI · PMC5366131
  2. Schwendner P, Mahnert A, Koskinen K, Moissl-Eichinger C, Barczyk S, Wirth R, et al.. Preparing for the crewed Mars journey: microbiota dynamics in the confined Mars500 habitat during simulated Mars flight and landing. . 2017. PMID 28974259 · DOI · PMC5627443
  3. Wright SW, Lindsell CJ, Hinckley WR, Williams A, Holland C, Lewis CH, et al.. High fidelity medical simulation in the difficult environment of a helicopter: feasibility, self-efficacy and cost. . 2006. PMID 17020624 · DOI · PMC1613239
  4. Cantisani A, Schmutz JB, Marques-Quinteiro P, Dall'Amico L, Cattuto C, Antino M, et al.. Social interactions in isolated, confined, and extreme environments: A study of Antarctic winter teams using wearable sensors. . 2026. PMID 42189987 · DOI · PMC13229265
  5. Larney S, Kopinski H, Beckwith CG, Zaller ND, Jarlais DD, Hagan H, et al.. Incidence and prevalence of hepatitis C in prisons and other closed settings: results of a systematic review and meta-analysis. Hepatology. 2013. PMID 23504650 · DOI · PMC3723697
  6. Lewis JEM. Molecular engineering of confined space in metal-organic cages. Chem Commun (Camb). 2022. PMID 36448362 · DOI
  7. Kak V. Infections in confined spaces: cruise ships, military barracks, and college dormitories. Infect Dis Clin North Am. 2007. PMID 17826623 · DOI · PMC7173025
  8. Von Essen S, Donham K. Illness and injury in animal confinement workers. Occup Med. 1999. PMID 10329909
  9. Macintyre AG, Barbera JA, Smith ER. Surviving collapsed structure entrapment after earthquakes: a "time-to-rescue" analysis. Prehosp Disaster Med. 2006. PMID 16602260 · DOI
  10. Bartone PT, Krueger GP, Bartone JV. Individual Differences in Adaptability to Isolated, Confined, and Extreme Environments. Aerosp Med Hum Perform. 2018. PMID 29789087 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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At a glance

488
PubMed records on this heading
13%
published since 2020
38
review articles
5
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

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