IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0236919.html
   My bibliography  Save this article

Mountaineers on Mount Everest: Effects of age, sex, experience, and crowding on rates of success and death

Author

Listed:
  • Raymond B Huey
  • Cody Carroll
  • Richard Salisbury
  • Jane-Ling Wang

Abstract

Mount Everest is an extreme environment for humans. Nevertheless, hundreds of mountaineers attempt to summit Everest each year. In a previous study we analyzed interview data for all climbers (2,211) making their first attempt on Everest during 1990–2005. Probabilities of summiting were similar for men and women, declined progressively for climbers about 40 and older, but were elevated for climbers with experience climbing in Nepal. Probabilities of dying were also similar for men and women, increased for climbers about 60 and older (especially for the few that had summited), and were independent of experience. Since 2005, many more climbers (3,620) have attempted Everest. Here our primary goal is to quantify recent patterns of success and death and to evaluate changes over time. Also, we investigate whether patterns relate to key socio-demographic covariates (age, sex, host country, prior experience). Recent climbers were more diverse both in gender (women = 14.6% vs. 9.1% for 1990–2005) and in age (climbers ≥ 40 = 54.1% vs. 38.7%). Strikingly, recent climbers of both sexes were almost twice as likely to summit–and slightly less likely to die–than were comparable climbers in the previous survey. Temporal shifts may reflect improved weather forecasting, installation of fixed ropes on much of the route, and accumulative logistic equipment and experience. We add two new analyses. The probability of dying from illness or non-traumas (e.g., high-altitude illness, hypothermia), relative to dying from falling or from ‘objective hazards’ (avalanche, rock or ice fall), increased marginally with age. Recent crowding during summit bids was four-fold greater than in the prior sample, but surprisingly crowding has no evident effect on success or death during summit bids. Our results inform prospective climbers as to their current odds of success and of death, as well as inform governments of Nepal and China of the safety consequences and economic impacts of periodically debated restrictions based on climber age and experience.

Suggested Citation

  • Raymond B Huey & Cody Carroll & Richard Salisbury & Jane-Ling Wang, 2020. "Mountaineers on Mount Everest: Effects of age, sex, experience, and crowding on rates of success and death," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-16, August.
  • Handle: RePEc:plo:pone00:0236919
    DOI: 10.1371/journal.pone.0236919
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236919
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236919&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0236919?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James W. Vaupel, 2010. "Biodemography of human ageing," Nature, Nature, vol. 464(7288), pages 536-542, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nowacki Marek, 2023. "Mountaineering in the Himalayas: A Comprehensive Analysis Through a Literature Review and Research Profiling," Polish Journal of Sport and Tourism, Sciendo, vol. 30(4), pages 3-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Edouard Debonneuil & Anne Eyraud-Loisel & Frédéric Planchet, 2017. "Conditions Of Interest Of A Longevity Megafund For Pension Funds," Working Papers hal-01571937, HAL.
    2. D. Dragone & H. Strulik, 2017. "Human Health and Aging over an Infinite Time Horizon," Working Papers wp1104, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Nicole L. Van Der Gaag & Govert Bijwaard & Joop de Beer & Luc Bonneux, 2015. "A multistate model to project elderly disability in case of limited data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(3), pages 75-106.
    4. Melinda Heinz & Nicholas Cone & Grace Da Rosa & Alex J. Bishop & Tanya Finchum, 2017. "Examining Supportive Evidence for Psychosocial Theories of Aging within the Oral History Narratives of Centenarians," Societies, MDPI, vol. 7(2), pages 1-21, April.
    5. Duncan Gillespie & Meredith Trotter & Shripad Tuljapurkar, 2014. "Divergence in Age Patterns of Mortality Change Drives International Divergence in Lifespan Inequality," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1003-1017, June.
    6. Gregorio Gimenez & Ana Isabel Gil-Lacruz & Marta Gil-Lacruz, 2021. "Is Happiness Linked to Subjective Life Expectancy? A Study of Chilean Senior Citizens," Mathematics, MDPI, vol. 9(17), pages 1-12, August.
    7. Kashnitsky, Ilya, 2017. "A cohort is not representative of humanity," OSF Preprints 524kg, Center for Open Science.
    8. Edouard Debonneuil & Anne Eyraud-Loisel & Frédéric Planchet, 2018. "Can Pension Funds Partially Manage Longevity Risk by Investing in a Longevity Megafund?," Risks, MDPI, vol. 6(3), pages 1-27, July.
    9. Felipe Vásquez & Gibran Vita & Daniel B. Müller, 2018. "Food Security for an Aging and Heavier Population," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    10. McCarthy, David G. & Wang, Po-Lin, 2021. "Pooling mortality risk in Eurozone state pension liabilities: An application of a Bayesian coherent multi-population cohort-based mortality model," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 459-485.
    11. Iñigo Calvo-Sotomayor & Ekhi Atutxa & Ricardo Aguado, 2020. "Who Is Afraid of Population Aging? Myths, Challenges and an Open Question from the Civil Economy Perspective," IJERPH, MDPI, vol. 17(15), pages 1-17, July.
    12. Ting Li & James Anderson, 2013. "Shaping human mortality patterns through intrinsic and extrinsic vitality processes," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(12), pages 341-372.
    13. Vladimir Canudas-Romo & Tianyu Shen & Collin Payne, 2021. "The role of reductions in old-age mortality in old-age population growth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(44), pages 1073-1084.
    14. Kulinskaya, Elena & Gitsels, Lisanne Andra & Bakbergenuly, Ilyas & Wright, Nigel R., 2021. "Dynamic hazards modelling for predictive longevity risk assessment," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 222-231.
    15. A. Debòn & S. Haberman & F. Montes & E. Otranto, 2012. "Model effect on projected mortality indicators," Working Paper CRENoS 201215, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    16. Dragone, Davide & Strulik, Holger, 2020. "Negligible senescence: An economic life cycle model for the future," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 264-285.
    17. Shulgin, Sergey & Scherbov, Sergey & Zinkina, Yulia & Novikov, Kirill, 2017. "Medical-Demographic Differentiation According to Educational Level," Working Papers 041719, Russian Presidential Academy of National Economy and Public Administration.
    18. Finkel, Elizabeth, 2014. "Is modern farm technology a saviour or a threat?," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225570, Crawford Fund.
    19. Oliver Razum & Albrecht Jahn, 2016. "Molecular and genomic sciences in health: apply the established rules of evidence," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(4), pages 405-407, May.
    20. Ana Debón & Steven Haberman & Francisco Montes & Edoardo Otranto, 2021. "Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model," IJERPH, MDPI, vol. 18(4), pages 1-16, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0236919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.