IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10106-d889131.html
   My bibliography  Save this article

Psychometric Properties of the WHO-5 Well-Being Index among Nurses during the COVID-19 Pandemic: A Cross-Sectional Study in Three Countries

Author

Listed:
  • Mariela Loreto Lara-Cabrera

    (Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7091 Trondheim, Norway
    Nidelv Community Mental Health Centre, Division of Psychiatry, St Olavs Hospital Trondheim University Hospital, 7006 Trondheim, Norway)

  • Moisés Betancort

    (Department of Clinical Psychology, Psychobiology and Methodology, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain)

  • Amparo Muñoz-Rubilar

    (Faculty of Health Sciences, Universidad Central de Chile, Santiago 8370178, Chile)

  • Natalia Rodríguez-Novo

    (Departament of Nursing, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain)

  • Ottar Bjerkeset

    (Faculty of Nursing and Health Sciences, Nord University, Levanger Campus, 8026 Levanger, Norway)

  • Carlos De las Cuevas

    (Department of Internal Medicine, Dermatology and Psychiatry, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain
    Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain)

Abstract

Nurses’ well-being has been increasingly recognised due to the ongoing pandemic. However, no validation scales measuring nurses’ well-being currently exist. Thus, we aimed to validate the WHO-5 Well-Being Index (WHO-5) in a sample of nurses. A cross-sectional multinational study was conducted, and a total of 678 nurses who worked during the COVID-19 pandemic in Spain (36.9%), Chile (40.0%) and Norway (23.1%) participated in this study. The nurses completed the WHO-5, the Patient Health Questionnaire-2 (PHQ-2), the Generalized Anxiety Disorder-2 (GAD-2) and three questions about the quality of life (QoL). The WHO-5 demonstrated good reliability and validity in the three countries. Cronbach’s alphas ranged from 0.81 to 0.90. High correlations were found between the WHO-5 and the psychological well-being dimension of QoL, and negative correlations between the WHO-5 and PHQ-2. The unidimensional scale structure was confirmed in all the countries, explaining more than 68% of the variance. The item response theory likelihood ratio model did not show discernible differences in the WHO-5 across the countries. To conclude, the WHO-5 is a psychometrically sound scale for measuring nurses’ well-being during a pandemic. The scale showed strong construct validity for cross-cultural comparisons; however, more research is required with larger sample sizes.

Suggested Citation

  • Mariela Loreto Lara-Cabrera & Moisés Betancort & Amparo Muñoz-Rubilar & Natalia Rodríguez-Novo & Ottar Bjerkeset & Carlos De las Cuevas, 2022. "Psychometric Properties of the WHO-5 Well-Being Index among Nurses during the COVID-19 Pandemic: A Cross-Sectional Study in Three Countries," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10106-:d:889131
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10106/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/16/10106/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mariela Loreto Lara-Cabrera & Moisés Betancort & C. Amparo Muñoz-Rubilar & Natalia Rodríguez Novo & Carlos De las Cuevas, 2021. "The Mediating Role of Resilience in the Relationship between Perceived Stress and Mental Health," IJERPH, MDPI, vol. 18(18), pages 1-10, September.
    2. Tuyen Dinh Hoang & Robert Colebunders & Joseph Nelson Siewe Fodjo & Nhan Phuc Thanh Nguyen & Trung Dinh Tran & Thang Van Vo, 2021. "Well-Being of Healthcare Workers and the General Public during the COVID-19 Pandemic in Vietnam: An Online Survey," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
    3. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    4. Aida Farhana Suhaimi & Shahidah Mohamed Makki & Kit-Aun Tan & Umi Adzlin Silim & Normala Ibrahim, 2022. "Translation and Validation of the Malay Version of the WHO-5 Well-Being Index: Reliability and Validity Evidence from a Sample of Type 2 Diabetes Mellitus Patients," IJERPH, MDPI, vol. 19(7), pages 1-11, April.
    5. Concetta Russo & Marco Terraneo, 2020. "Mental Well-being Among Workers: A Cross-national Analysis of Job Insecurity Impact on the Workforce," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 421-442, November.
    6. Sara Huerta-González & Dolores Selva-Medrano & Fidel López-Espuela & Pedro Ángel Caro-Alonso & Andre Novo & Beatriz Rodríguez-Martín, 2021. "The Psychological Impact of COVID-19 on Front Line Nurses: A Synthesis of Qualitative Evidence," IJERPH, MDPI, vol. 18(24), pages 1-17, December.
    7. Min Kwon & HyungSeon Kim, 2020. "Psychological Well-Being of Female-Headed Households Based on Age Stratification: A Nationwide Cross-Sectional Study in South Korea," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
    8. Barbara Ślusarska & Grzegorz Józef Nowicki & Barbara Niedorys-Karczmarczyk & Agnieszka Chrzan-Rodak, 2022. "Prevalence of Depression and Anxiety in Nurses during the First Eleven Months of the COVID-19 Pandemic: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    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. Laura Vieten & Anne Marit Wöhrmann & Alexandra Michel, 2022. "Work-Time Control and Exhaustion: Internal Work-to-Home Interference and Internal Home-to-Work Interference as Mediators," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    2. Ruth Hancock & Marcello Morciano & Stephen Pudney & Francesca Zantomio, 2015. "Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 815-836, October.
    3. Dara M Wald & Susan K Jacobson, 2014. "A Multivariate Model of Stakeholder Preference for Lethal Cat Management," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    4. Flore Geukens & Annette Spithoven & Margot Bastin & Janne Vanhalst & Marlies Maes, 2022. "Lonely in Different Relationships: Bidirectional Effects between Parent- and Peer-Related Loneliness in Adolescence," IJERPH, MDPI, vol. 19(12), pages 1-10, June.
    5. Peter Tavel & Bibiana Jozefiakova & Peter Telicak & Jana Furstova & Michal Puza & Natalia Kascakova, 2022. "Psychometric Analysis of the Shortened Version of the Spiritual Well-Being Scale on the Slovak Population (SWBS-Sk)," IJERPH, MDPI, vol. 19(1), pages 1-12, January.
    6. Sai-fu Fung & Esther Oi-wah Chow & Chau-kiu Cheung, 2020. "Development and Evaluation of the Psychometric Properties of a Brief Wisdom Development Scale," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    7. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    8. Jose M. Martín-Criado & Jose A. Casas & Rosario Ortega-Ruiz, 2021. "Parental Supervision: Predictive Variables of Positive Involvement in Cyberbullying Prevention," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    9. Mathilde Sengoelge & Øivind Solberg & Alexander Nissen & Fredrik Saboonchi, 2020. "Exploring Social and Financial Hardship, Mental Health Problems and the Role of Social Support in Asylum Seekers Using Structural Equation Modelling," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
    10. Laura Castro-Schilo & Barbara L. Fredrickson & Dan Mungas, 2019. "Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans," Journal of Happiness Studies, Springer, vol. 20(8), pages 2385-2400, December.
    11. Zi Jia Ng & Eugene Scott Huebner & Alberto Maydeu-Olivares & Kimberly Joy Hills, 2018. "Confirmatory Factor Analytic Structure and Measurement Invariance of the Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS) in a Longitudinal Sample of Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(4), pages 1237-1247, August.
    12. Junjiao Feng & Liang Zhang & Chunhui Chen & Jintao Sheng & Zhifang Ye & Kanyin Feng & Jing Liu & Ying Cai & Bi Zhu & Zhaoxia Yu & Chuansheng Chen & Qi Dong & Gui Xue, 2022. "A cognitive neurogenetic approach to uncovering the structure of executive functions," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    13. Michael Sheppard, 2020. "The relationship between discretionary slack and growth in small firms," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 195-219, March.
    14. Carmen Berné-Manero & Marta Pedraja-Iglesias & Pilar Ramo-Sáez, 2017. "Socially responsible markets involved in the consumer-organization identification process," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(2), pages 179-196, June.
    15. Calvo Porral, Cristina & Martínez Fernández, Valentín Alejandro & Juanatey Boga, Oscar, 2016. "Influência da assinatura do fabricante na lealdade e intenção de compra de marcas próprias de varejista," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 56(1), January.
    16. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    17. Jorge Sinval & M. Joseph Sirgy & Dong-Jin Lee & João Marôco, 2020. "The Quality of Work Life Scale: Validity Evidence from Brazil and Portugal," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(5), pages 1323-1351, November.
    18. Lee, Seunghwan & Kim, Yukyoum & Heere, Bob, 2018. "Sport team emotion: Conceptualization, scale development and validation," Sport Management Review, Elsevier, vol. 21(4), pages 363-376.
    19. Vaske, Jamie C. & Newsome, Jamie & Boisvert, Danielle L. & Piquero, Alex R. & Paradis, Angela D. & Buka, Stephen L., 2015. "The impact of low birth weight and maternal age on adulthood offending," Journal of Criminal Justice, Elsevier, vol. 43(1), pages 49-56.
    20. Smith, Kenneth J. & Emerson, David J., 2014. "An assessment of the psychometric properties of the Perceived Stress Scale-10 (PSS10) with a U.S. public accounting sample," Advances in accounting, Elsevier, vol. 30(2), pages 309-314.

    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:gam:jijerp:v:19:y:2022:i:16:p:10106-:d:889131. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.