IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i11p5879-d565625.html
   My bibliography  Save this article

Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees

Author

Listed:
  • Yiyi Chen

    (School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
    Guangdong Key Laboratory for Urbanization and Geo-Simulation, Sun Yat-Sen University, Guangzhou 510275, China)

  • Ye Liu

    (School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
    Guangdong Key Laboratory for Urbanization and Geo-Simulation, Sun Yat-Sen University, Guangzhou 510275, China)

Abstract

Background: A growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health. Objectives: The present study quantifies the importance of related risk factors on the level of psychological distress and further explores the threshold effect of each rick factor on the level of psychological distress. Both subjective and objective measures of risk factors are considered in the model. Methods: We sampled 937 individual items of data obtained from an online questionnaire between 20 January and 13 February 2020 in China. Objective risk factors were measured in terms of direct distance from respondents’ housing to the nearest COVID-19 hospital, direct distance from respondents’ housing to the nearest park, and the air quality index (AQI). Perceived risk factors were measured in regard to perceived distance to the nearest COVID-19 hospital, perceived air quality, and perceived environmental quality. Psychological distress was measured with the Kessler psychological distress scale K6 score. The following health risk factors and sociodemographic factors were considered: self-rated health level, physical health status, physical activity, current smoker or drinker, age, gender, marital status, educational attainment level, residence location, and household income level. A gradient boosting decision tree (GBDT) was used to analyse the data. Results: Health risk factors were the greatest contributors to predicting the level of psychological distress, with a relative importance of 42.32% among all influential factors. Objective risk factors had a stronger predictive power than perceived risk factors (23.49% vs. 16.26%). Furthermore, it was found that there was a dramatic rise in the moderate level of psychological distress regarding the threshold of AQI between 40 and 50, and 110 and 130, respectively. Gender-sensitive analysis revealed that women and men responded differently to psychological distress based on different risk factors. Conclusion: We found evidence that perceived indoor air quality played a more important role in predicting psychological distress compared to ambient air pollution during the COVID-19 pandemic.

Suggested Citation

  • Yiyi Chen & Ye Liu, 2021. "Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees," IJERPH, MDPI, vol. 18(11), pages 1-18, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5879-:d:565625
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/11/5879/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/11/5879/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cuiyan Wang & Riyu Pan & Xiaoyang Wan & Yilin Tan & Linkang Xu & Cyrus S. Ho & Roger C. Ho, 2020. "Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China," IJERPH, MDPI, vol. 17(5), pages 1-25, March.
    2. Ugolini, Francesca & Massetti, Luciano & Pearlmutter, David & Sanesi, Giovanni, 2021. "Usage of urban green space and related feelings of deprivation during the COVID-19 lockdown: Lessons learned from an Italian case study," Land Use Policy, Elsevier, vol. 105(C).
    3. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    4. Chuan Ding & Donggen Wang & Xiaolei Ma & Haiying Li, 2016. "Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    5. Matthias Schonlau, 2005. "Boosted regression (boosting): An introductory tutorial and a Stata plugin," Stata Journal, StataCorp LP, vol. 5(3), pages 330-354, September.
    6. Cristina Mazza & Eleonora Ricci & Silvia Biondi & Marco Colasanti & Stefano Ferracuti & Christian Napoli & Paolo Roma, 2020. "A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors," IJERPH, MDPI, vol. 17(9), pages 1-14, May.
    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. Eva Hernandez-Garcia & Evangelia Chrysikou & Anastasia Z. Kalea, 2021. "The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile—An Exploratory Review and Analysis Paper in the Cancer Survivors’ Mental Health Morbidity ," IJERPH, MDPI, vol. 18(20), pages 1-32, October.
    2. Dawid Majcherek & Arkadiusz Michał Kowalski & Małgorzata Stefania Lewandowska, 2022. "Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries," IJERPH, MDPI, vol. 19(19), pages 1-22, September.

    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. J. Pierre Zila-Velasque & Pamela Grados-Espinoza & Naomi Coba-Villan & Jocelyn Quispe-Chamorro & Yesenia F. Taipe-Guillén & Estefany Pacheco & Laura Ccasa-Valero & Virgilio E. Failoc-Rojas & Cristian , 2022. "Mental Disorders and Level of Resilience in Eight High-Altitude Cities of Peru during the Second Pandemic Wave: A Multicenter Population-Based Study," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    2. Ankica Kosic & Tamara Džamonja Ignjatović & Nebojša Petrović, 2021. "A Cross-Cultural Study of Distress during COVID-19 Pandemic: Some Protective and Risk Factors," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
    3. María del Carmen Pérez-Fuentes & María del Mar Molero Jurado & África Martos Martínez & Elena Fernández-Martínez & Raquel Franco Valenzuela & Iván Herrera-Peco & Diana Jiménez-Rodríguez & Inmaculada M, 2020. "Design and Validation of the Adaptation to Change Questionnaire: New Realities in Times of COVID-19," IJERPH, MDPI, vol. 17(15), pages 1-15, August.
    4. Stefania Scuri & Marina Tesauro & Fabio Petrelli & Ninfa Argento & Genny Damasco & Giovanni Cangelosi & Cuc Thi Thu Nguyen & Demetris Savva & Iolanda Grappasonni, 2022. "Use of an Online Platform to Evaluate the Impact of Social Distancing Measures on Psycho-Physical Well-Being in the COVID-19 Era," IJERPH, MDPI, vol. 19(11), pages 1-10, June.
    5. Lucía del Río-Casanova & Milagrosa Sánchez-Martín & Ana García-Dantas & Anabel González-Vázquez & Ania Justo, 2021. "Psychological Responses According to Gender during the Early Stage of COVID-19 in Spain," IJERPH, MDPI, vol. 18(7), pages 1-20, April.
    6. Mateusz Ciski & Krzysztof Rząsa, 2023. "Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland," IJERPH, MDPI, vol. 20(10), pages 1-23, May.
    7. José Pais-Ribeiro & Alexandra Ferreira-Valente & Margarida Jarego & Elisabet Sánchez-Rodríguez & Jordi Miró, 2022. "COVID-19 Pandemic in Portugal: Psychosocial and Health-Related Factors Associated with Psychological Discomfort," IJERPH, MDPI, vol. 19(6), pages 1-13, March.
    8. Juan Gómez-Salgado & Montserrat Andrés-Villas & Sara Domínguez-Salas & Diego Díaz-Milanés & Carlos Ruiz-Frutos, 2020. "Related Health Factors of Psychological Distress During the COVID-19 Pandemic in Spain," IJERPH, MDPI, vol. 17(11), pages 1-16, June.
    9. Daniela Marchetti & Roberta Maiella & Rocco Palumbo & Melissa D’Ettorre & Irene Ceccato & Marco Colasanti & Adolfo Di Crosta & Pasquale La Malva & Emanuela Bartolini & Daniela Biasone & Nicola Mammare, 2023. "Self-Reported Mental Health and Psychosocial Correlates during the COVID-19 Pandemic: Data from the General Population in Italy," Data, MDPI, vol. 8(6), pages 1-7, June.
    10. Mohammad Farhan Al. Qudah & Ismael Salamah Albursan & Heba Ibraheem Hammad & Ahmad Mohammad Alzoubi & Salaheldin Farah Bakhiet & Abdullah M. Almanie & Soltan S. Alenizi & Suliman S. Aljomaa & Mohammed, 2021. "Anxiety about COVID-19 Infection, and Its Relation to Smartphone Addiction and Demographic Variables in Middle Eastern Countries," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    11. Eriona Thartori & Concetta Pastorelli & Flavia Cirimele & Chiara Remondi & Maria Gerbino & Emanuele Basili & Ainzara Favini & Carolina Lunetti & Irene Fiasconaro & Gian Vittorio Caprara, 2021. "Exploring the Protective Function of Positivity and Regulatory Emotional Self-Efficacy in Time of Pandemic COVID-19," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    12. Fang-Yi Tsai & Hannah Schillok & Michaela Coenen & Christina Merkel & Caroline Jung-Sievers & on behalf of the COSMO Study Group, 2022. "The Well-Being of the German Adult Population Measured with the WHO-5 over Different Phases of the COVID-19 Pandemic: An Analysis within the COVID-19 Snapshot Monitoring Study (COSMO)," IJERPH, MDPI, vol. 19(6), pages 1-27, March.
    13. Anna Maria Cybulska & Katarzyna Głębicka & Marzanna Stanisławska & Aneta Cymbaluk-Płoska & Elżbieta Grochans & Kamila Rachubińska, 2023. "The Relationship between Social Support and Mental Health Problems of Peri- and Postmenopausal Women during the SARS-CoV-2 Pandemic," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    14. Manuel Maciel-Saldierna & Emmanuel Elizondo-Hernández & Gabino Cervantes-Guevara & Enrique Cervantes-Pérez & Guillermo Alonso Cervantes-Cardona & Bertha Georgina Guzmán-Ramírez & Irma Valeria Brancacc, 2022. "Prevalence of Depression, Anxiety, and Stress in Junior High School Students in Guadalajara, Mexico: A Cross-Sectional Survey Study," IJERPH, MDPI, vol. 19(23), pages 1-10, November.
    15. Agnes Y. K. Lai & George O. C. Cheung & Asa C. M. Choi & Man-Ping Wang & Polly S. L. Chan & Angie H. Y. Lam & Esther W. S. Lo & Chia-Chin Lin & Tai-Hing Lam, 2022. "Mental Health, Support System, and Perceived Usefulness of Support in University Students in Hong Kong Amidst COVID-19 Pandemic: A Mixed-Method Survey," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    16. Maria Rosaria Gualano & Giuseppina Lo Moro & Gianluca Voglino & Fabrizio Bert & Roberta Siliquini, 2020. "Effects of Covid-19 Lockdown on Mental Health and Sleep Disturbances in Italy," IJERPH, MDPI, vol. 17(13), pages 1-13, July.
    17. Kata Morvay-Sey & Melinda Trpkovici & Pongrác Ács & Dávid Paár & Ágnes Pálvölgyi, 2022. "Psychological Responses of Hungarian Students during the First Wave of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    18. Yongdong Shi & Rongsheng Huang & Hanwen Cui, 2021. "Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period," IJERPH, MDPI, vol. 18(19), pages 1-12, October.
    19. Maheen M. Adamson & Angela Phillips & Srija Seenivasan & Julian Martinez & Harlene Grewal & Xiaojian Kang & John Coetzee & Ines Luttenbacher & Ashley Jester & Odette A. Harris & David Spiegel, 2020. "International Prevalence and Correlates of Psychological Stress during the Global COVID-19 Pandemic," IJERPH, MDPI, vol. 17(24), pages 1-16, December.
    20. Giuseppe Forte & Francesca Favieri & Renata Tambelli & Maria Casagrande, 2020. "COVID-19 Pandemic in the Italian Population: Validation of a Post-Traumatic Stress Disorder Questionnaire and Prevalence of PTSD Symptomatology," IJERPH, MDPI, vol. 17(11), pages 1-14, June.

    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:18:y:2021:i:11:p:5879-:d:565625. 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.