IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0241817.html
   My bibliography  Save this article

Personality profiles and meteoropathy intensity: A comparative study between young and older adults

Author

Listed:
  • Marcin Rzeszutek
  • Włodzimierz Oniszczenko
  • Iwona Zalewska
  • Małgorzata Pięta

Abstract

Objectives: This study’s main aims were to investigate the Big Five personality trait heterogeneity of study participants in two age groups and to examine whether these traits’ heterogeneity can explain possible individual differences in meteoropathy intensity. Method: The sample was comprised of 758 participants divided into two age groups: 378 young adults (18–30 years old) and 380 older adults (60+ years old). The participants filled out online or paper versions of the METEO-Q questionnaire and the Ten Item Personality Inventory (TIPI). Results: A latent profile analysis of the completed inventories showed various personality profiles differ in meteoropathy intensity. However, personality’s differentiating effect on meteoropathy was observed only among the young adult group. Conclusions: Our study’s results indicate that there is no one personality trait pattern that fits all individuals regarding sensitivity to weather changes. This issue is especially visible when considering age differences.

Suggested Citation

  • Marcin Rzeszutek & Włodzimierz Oniszczenko & Iwona Zalewska & Małgorzata Pięta, 2020. "Personality profiles and meteoropathy intensity: A comparative study between young and older adults," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-10, November.
  • Handle: RePEc:plo:pone00:0241817
    DOI: 10.1371/journal.pone.0241817
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241817
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0241817&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0241817?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. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Marie Connolly, 2013. "Some Like It Mild and Not Too Wet: The Influence of Weather on Subjective Well-Being," Journal of Happiness Studies, Springer, vol. 14(2), pages 457-473, April.
    Full references (including those not matched with items on IDEAS)

    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. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    2. Yifan Zhu & Chongzhi Di & Ying Qing Chen, 2019. "Clustering Functional Data with Application to Electronic Medication Adherence Monitoring in HIV Prevention Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 238-261, July.
    3. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    4. Meng, Xin & Xue, Sen, 2017. "Social Networks and Mental Health Problems: Evidence from Rural-to-Urban Migrants in China," IZA Discussion Papers 10481, Institute of Labor Economics (IZA).
    5. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    6. Gil, J.M. & Diaz-Montenegro, J. & Varela, E., 2018. "A Bias-Adjusted Three-Step approach for analysing the livelihood strategies and the asset mix of cacao producers in Ecuador," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277215, International Association of Agricultural Economists.
    7. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    8. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    9. Alan B. Krueger & Daniel Kahneman & David Schkade & Norbert Schwarz & Arthur A. Stone, 2009. "National Time Accounting: The Currency of Life," NBER Chapters, in: Measuring the Subjective Well-Being of Nations: National Accounts of Time Use and Well-Being, pages 9-86, National Bureau of Economic Research, Inc.
    10. Yujin Kim & Hyeyoung Woo & Sinn Won Han, 2022. "Work and Family Pathways and Their Associations with Health for Young Women in Korea," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    11. Xin Meng & Sen Xue, 2020. "Social networks and mental health outcomes: Chinese rural–urban migrant experience," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 155-195, January.
    12. Lecegui, Antonio & Olaizola, Ana María & López-i-Gelats, Feliu & Varela, Elsa, 2022. "Implementing the livelihood resilience framework: An indicator-based model for assessing mountain pastoral farming systems," Agricultural Systems, Elsevier, vol. 199(C).
    13. Barrington-Leigh, Christopher & Behzadnejad, Fatemeh, 2017. "The impact of daily weather conditions on life satisfaction: Evidence from cross-sectional and panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 145-163.
    14. Sasso, Alessandro & Hernández-Alava, Mónica & Holmes, John & Field, Matt & Angus, Colin & Meier, Petra, 2022. "Strategies to cut down drinking, alcohol consumption, and usual drinking frequency: Evidence from a British online market research survey," Social Science & Medicine, Elsevier, vol. 310(C).
    15. Sarah R Lowe & Ethan J Raker & Mary C Waters & Jean E Rhodes, 2020. "Predisaster predictors of posttraumatic stress symptom trajectories: An analysis of low-income women in the aftermath of Hurricane Katrina," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    16. Aely Park & Youngmi Kim & Jennifer Murphy, 2023. "Adverse Childhood Experiences and Substance Use Among Korean College Students: Different by Gender?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1811-1825, August.
    17. Daniel Kuehnle & Christoph Wunder, 2016. "Using the Life Satisfaction Approach to Value Daylight Savings Time Transitions: Evidence from Britain and Germany," Journal of Happiness Studies, Springer, vol. 17(6), pages 2293-2323, December.
    18. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    19. S. C. Noah Uhrig & Nicole Watson, 2020. "The Impact of Measurement Error on Wage Decompositions: Evidence From the British Household Panel Survey and the Household, Income and Labour Dynamics in Australia Survey," Sociological Methods & Research, , vol. 49(1), pages 43-78, February.
    20. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.

    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:pone00:0241817. 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.