Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
33705439
PubMed Central
PMC7951840
DOI
10.1371/journal.pone.0247997
PII: PONE-D-20-28035
Knihovny.cz E-zdroje
- MeSH
- COVID-19 epidemiologie MeSH
- dospělí MeSH
- lidé MeSH
- longitudinální studie MeSH
- mladý dospělý MeSH
- postoj ke zdraví MeSH
- sociální izolace MeSH
- strach * MeSH
- strojové učení MeSH
- úzkost etiologie MeSH
- zdravotní stav MeSH
- zpráva o sobě MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influence of 'macro-level' environmental factors and 'micro-level' psychological variables on both fear and perceived health. Here, we investigate predictors of fear and perceived health using machine learning as lockdown restrictions in response to the COVID-19 pandemic were introduced in Austria, Spain, Poland and Czech Republic. Over a seven-week period, 533 participants completed weekly self-report surveys which measured the target variables subjective fear of the virus and perceived health, in addition to potential predictive variables related to psychological factors, social factors, perceived vulnerability to disease (PVD), and economic circumstances. Viral spread, mortality and governmental responses were further included in the analysis as potential environmental predictors. Results revealed that our models could accurately predict fear of the virus (accounting for approximately 23% of the variance) using predictive factors such as worrying about shortages in food supplies and perceived vulnerability to disease (PVD), where interestingly, environmental factors such as spread of the virus and governmental restrictions did not contribute to this prediction. Furthermore, our results revealed that perceived health could be predicted using PVD, physical exercise, attachment anxiety and age as input features, albeit with smaller effect sizes. Taken together, our results emphasize the importance of 'micro-level' psychological factors, as opposed to 'macro-level' environmental factors, when predicting fear and perceived health, and offer a starting point for more extensive research on the influences of pathogen threat and governmental restrictions on the psychology of fear and health.
Department of Anthropology Faculty of Humanities Charles University Prague Czech Republic
Department of Psychiatry and Behavioural Neurosciences McMaster University Hamilton Canada
Department of Psychology Jan Evangelista Purkyne University Ústí nad Labem Czech Republic
Faculty of Psychology University of Barcelona Barcelona Spain
Homewood Research Institute Guelph Canada
Institute of Psychology University of Wroclaw Wroclaw Poland
Zürich Center for Integrative Human Physiology University of Zürich Zürich Switzerland
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Jamison J, Bundy D, Jamison D, Spitz J, Verguet S. Comparing the impact on COVID-19 mortality of self-imposed behavior change and of government regulations across 13 countries. medRxiv. [Preprint]. 2020 [cited 2020 August 4]. www.medrxiv.org/content/10.1101/2020.08.02.20166793v1 PubMed DOI PMC
Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet. 2020; 395, 931–934. 10.1016/S0140-6736(20)30567-5 PubMed DOI PMC
Green EC, Witte K. Can fear arousal in public health campaigns contribute to the decline of HIV prevalence?. Journal of health communication. 2006; 11(3), 245–259. 10.1080/10810730600613807 PubMed DOI
Morman MT. The influence of fear appeals, message design, and masculinity on men’s motivation to perform the testicular self‐exam. Journal of Applied Communication Research. 2000; 28(2), 91–116. 10.1080/00909880009365558 DOI
Tannenbaum MB, Hepler J, Zimmerman RS, Saul L, Jacobs S, Wilson K, et al.. Appealing to fear: A meta-analysis of fear appeal effectiveness and theories. Psychological bulletin, 2015; 141(6), 1178. 10.1037/a0039729 PubMed DOI PMC
Witte K, Allen M. A meta-analysis of fear appeals: Implications for effective public health campaigns. Health education & behavior. 2000; 27(5), 591–615. 10.1177/109019810002700506 PubMed DOI
Pakpour A H, Griffiths M D. The fear of COVID-19 and its role in preventive behaviors. Journal of Concurrent Disorders. 2020; 2(1), 58–63. Available from: http://irep.ntu.ac.uk/id/eprint/39561 PubMed
Norman P, Boer H, Seydel ER. Protection motivation theory. In: Conner M, Norman P, editors. Predicting health behaviour. Open University Press. 2005; pp. 81–126.
Champion VL, Skinner CS. The health belief model. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: Theory, research, and practice. 2008; pp. 45–65.
Roma P, Monaro M, Muzi L, Colasanti M, Ricci E, Biondi S, et al.. How to improve compliance with protective health measures during the covid-19 outbreak: testing a moderated mediation model and machine learning algorithms. International journal of environmental research and public health. 2020; 17(19), 7252. 10.3390/ijerph17197252 PubMed DOI PMC
Prasetyo YT, Castillo AM, Salonga LJ, Sia JA, Seneta JA. Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during enhanced community quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior. International journal of infectious diseases; 2020. 99, 312–323. 10.1016/j.ijid.2020.07.074 PubMed DOI PMC
Kowalski RM, Black KJ. Protection Motivation and the COVID-19 Virus. Health Communication. 2021; 36(1), 15–22. 10.1080/10410236.2020.1847448 PubMed DOI
Wong LP, Alias H, Wong PF, Lee HY, AbuBakar S. The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay. Human vaccines & immunotherapeutics. 2020; 16(9), 2204–2214. 10.1080/21645515.2020.1790279 PubMed DOI PMC
Capraro V, Barcelo H. The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission. arXiv:2005.05467 [Preprint]. 2020 [cited 2020 January 6th]. https://arxiv.org/ftp/arxiv/papers/2005/2005.05467.pdf
Götz FM, Gvirtz A, Galinsky AD, Jachimowicz JM. How personality and policy predict pandemic behavior: Understanding sheltering-in-place in 55 countries at the onset of COVID-19. American Psychologist. 2020; 10.1037/amp0000740 PubMed DOI
Weinstein ND. Perceived probability, perceived severity, and health-protective behavior. Health Psychology. 2000; 19(1), 65. 10.1037//0278-6133.19.1.65 PubMed DOI
Boyraz G, Legros DN, Tigershtrom A. COVID-19 and traumatic stress: The role of perceived vulnerability, COVID-19-related worries, and social isolation. Journal of Anxiety Disorders. 2020; 76, 102307. 10.1016/j.janxdis.2020.102307 PubMed DOI PMC
McKay D, Yang H, Elhai J, Asmundson G. Anxiety regarding contracting COVID-19 related to interoceptive anxiety sensations: The moderating role of disgust propensity and sensitivity. Journal of Anxiety Disorders. 2020; 102233. 10.1016/j.janxdis.2020.102233 PubMed DOI PMC
Hornstein EA, Eisenberger NI. Unpacking the buffering effect of social support figures: social support attenuates fear acquisition. PloS one. 2017; 12(5), e0175891. 10.1371/journal.pone.0175891 PubMed DOI PMC
Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS medicine. 2010; 7(7), e1000316. 10.1371/journal.pmed.1000316 PubMed DOI PMC
Marganska A, Gallagher M, Miranda R. Adult attachment, emotion dysregulation, and symptoms of depression and generalized anxiety disorder. American Journal of Orthopsychiatry. 2013; 83(1), 131–141. 10.1111/ajop.12001 PubMed DOI
Watt MC., McWilliams LA, Campbell AG. Relations between anxiety sensitivity and attachment style dimensions. Journal of Psychopathology and Behavioral Assessment. 2005; 27(3), 191–200. 10.1007/s10862-005-0635-5 DOI
Mikulincer M, Florian V, Tolmacz R. Attachment styles and fear of personal death: A case study of affect regulation. Journal of personality and social psychology. 1990; 58(2), 273–280. 10.1037/0022-3514.58.2.273 DOI
Ainsworth M, Bowlby J. An ethological approach to personality development. American Psychologist. 1991; 46(4), 331–341. 10.1037/0003-066X.46.4.333 DOI
Zakin G, Solomon Z, Neria Y. Hardiness, attachment style, and long term psychological distress among Israeli POWs and combat veterans. Personality and Individual Differences. 2003; 34(5), 819–829. 10.1016/S0191-8869(02)00073-9 DOI
Hexel M. Alexithymia and attachment style in relation to locus of control. Personality and Individual Differences. 2003; 35(6), 1261–1270. 10.1016/S0191-8869(02)00333-1 DOI
Flesia L, Monaro M, Mazza C, Fietta V, Colicino E, Segatto B, et al.. Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models. Journal of clinical medicine. 2020; 9(10), 3350. 10.3390/jcm9103350 PubMed DOI PMC
Petherick A, Hale T, Phillips T, Webster S, et al. Variation in government responses to COVID-19. Blavatnik school working paper [Preprint] 2020 [cited 2020 May 8]. https://www.bsg.ox.ac.uk/research/publications/variation-government-responses-covid-19
Govan F. What are the penalties for breaching Spain’s lockdown? And can you appeal? The Local. 2020 April 17 [Cited on May 20]. https://www.thelocal.es/20200417/how-much-can-you-be-fined-for-breaching-spains-lockdown-and-how-to-appeal
Ditzen B, Neumann ID, Bodenmann G, von Dawans B, Turner RA, Ehlert U, et al.. Effects of different kinds of couple interaction on cortisol and heart rate responses to stress in women. Psychoneuroendocrinology. 2007; 32(5), 565–574. 10.1016/j.psyneuen.2007.03.011 PubMed DOI
Field T. Touch for socioemotional and physical well-being: A review. Developmental review, 2010; 30(4), 367–383. 10.1016/j.dr.2011.01.001 DOI
Holt-Lunstad J, Birmingham WA, Light KC. Influence of a “warm touch” support enhancement intervention among married couples on ambulatory blood pressure, oxytocin, alpha amylase, and cortisol. Psychosomatic Medicine. 2008; 70(9), 976–985. 10.1097/PSY.0b013e318187aef7 PubMed DOI
Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al.. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. The Lancet. 2020; 395(10227), 912–920. 10.1016/S0140-6736(20)30460-8 PubMed DOI PMC
Mazza C, Ricci E, Biondi S, Colasanti M, Ferracuti S, Napoli C, et al.. Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Int. J. Environ. Res. Public Health. 2020; 17(9), 3165. 10.3390/ijerph17093165 PubMed DOI PMC
Ahn S, Kim S, Koh K. Changes in Healthcare Utilization, Spending, and Perceived Health during COVID–19: A Longitudinal Study from Singapore [Preprint]. 2020 [cited 2020 January 15]. https://ssrn.com/abstract=3669090
Kushlev K, Heintzelman SJ, Lutes LD, Wirtz D, Kanippayoor JM, Leitner D, et al.. Does Happiness Improve Health? Evidence From a Randomized Controlled Trial. Psychological Science. 2020; 0956797620919673. 10.1177/0956797620919673 PubMed DOI
Elran-Barak R, Mozeikov M. One month into the reinforcement of social distancing due to the COVID-19 outbreak: subjective health, health behaviors, and loneliness among people with chronic medical conditions. International journal of environmental research and public health. 2020; 17(15), 5403. 10.3390/ijerph17155403 PubMed DOI PMC
Ohlbrecht H, Jellen J. Unequal tensions: the effects of the coronavirus pandemic in light of subjective health and social inequality dimensions in Germany. European Societies. 2021; 1–18. 10.1080/14616696.2020.1852440 DOI
Szabo A, Ábel K, Boros S. Attitudes toward COVID-19 and stress levels in Hungary: Effects of age, perceived health status, and gender. Psychological Trauma: Theory, Research, Practice, and Policy. 2020; 12(6), 572–575.: 10.1037/tra0000665 PubMed DOI
Inbar L, Shinan-Altman S. Emotional reactions and subjective health status during the COVID-19 pandemic in Israel: the mediating role of perceived susceptibility. Psychology, Health & Medicine. 2020; 1–10. 10.1080/13548506.2020.1858490 PubMed DOI
Howard MS, Medway FJ. Adolescents’ attachment and coping with stress. Psychology in the Schools. 2004; 41(3), 391–402. 10.1002/pits.10167 DOI
McWilliams LA, Bailey SJ. Associations between adult attachment ratings and health conditions: Evidence from the National Comorbidity Survey Replication. Health Psychology. 2010; 29(4), 446–453. 10.1037/a0020061 PubMed DOI
Carmichael CL, Goldberg MH, Coyle MA. (2020). Security-Based Differences in Touch Behavior and Its Relational Benefits. Social Psychological and Personality Science. 2020. 10.1177/1948550619865057 PubMed DOI PMC
Lindau ST, Gavrilova N. Sex, health, and years of sexually active life gained due to good health: evidence from two US population based cross sectional surveys of ageing. BMj. 2010; 340. 10.1136/bmj.c810 PubMed DOI PMC
Piko B. Health-related predictors of self-perceived health in a student population: the importance of physical activity. Journal of Community Health. 2000; 25(2), 125–137. 10.1023/a:1005129707550 PubMed DOI
Yarkoni T, Westfall J. Choosing prediction over explanation in psychology: Lessons from machine learning. Perspect. Psychol. Sci. 2017; 12, 1100–1122. 10.1177/1745691617693393 PubMed DOI PMC
Orrù G, Monaro M, Conversano C, Gemignani A, Sartori G. Machine learning in psychometrics and psychological research. Front. Psychol. 2020; 10.3389/fpsyg.2019.02970 PubMed DOI PMC
Dwyer DB, Efallkai P, Koutsouleris N. Machine learning approaches for clinical psychology and psychiatry. Annu. Rev. Clin. Psychol. 2018; 14, 91–118. 10.1146/annurev-clinpsy-032816-045037 PubMed DOI
Cawley GC, Talbot NL. On over-fitting in model selection and subsequent selection bias in performance evaluation. The Journal of Machine Learning Research. 2010; 11, 2079–2107. Available from: www.jmlr.org/papers/volume11/cawley10a/cawley10a.pdf
Hale T, Webster S, Phillips T, Kira K. Oxford COVID-19 Government Response Tracker, Blavatnik School of Government. 2020 [cited 2020 May 18]. https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker
Eurostat. Population on 1 January; 2020 [cited 2020 April 23] (online data code:TPS00001). https://ec.europa.eu/eurostat/databrowser/view/tps00001/default/table?lang=en
Duncan LA, Schaller M, Park JH. Perceived vulnerability to disease: Development and validation of a 15-item self-report instrument. Personality and Individual differences. 2009; 47(6), 541–546. 10.1016/j.paid.2009.05.001 DOI
Fraley RC, Waller NG, Brennan KA. An item response theory analysis of self-report measures of adult attachment. Journal of personality and social psychology. 2000; 78(2), 350. 10.1037//0022-3514.78.2.350 PubMed DOI
Lubiewska K, Gogowska K, Mickiewicz K, Wyrzykowska E, Winiewski C, Izdebski P, et al.. Skala Experience in Close Relationships-Revised: Struktura, Rzetelno oraz Skrócona Wersja Skali w Polskiej Próbie. Psychologia Rozwojowa. 2016; 21 (1), 49–63. 10.4467/20843879PR.16.004.4793 DOI
Cígler H, Cvrčková A, Daňsovác P, Hašto J, Charvát M, Ježek S, et al.. Experiences in close relationships: České verze metod pro měření vazby vycházející z dotazníku ECR. E-psychologie. 2019; 13(4) 57–74. 10.29364/epsy.359 DOI
Fernández-Fuertes AA, Orgaz B, Fuertes A, Carcedo R. La evaluación del apego romántico en adolescentes españoles: validación de la versión reducida del Experiences in Close Relationships-Revised (ECR-R). Anales de psicología. 2011; 27(3), 827–833. Available from: https://revistas.um.es/analesps/article/download/135561/123641/
Goodall K, Trejnowska A. Darling S. The relationship between dispositional mindfulness, attachment security and emotion regulation. Personality and Individual Differences. 2012; 52(5), 622–626. 10.1016/j.paid.2011.12.008 DOI
Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological). 1996; 58(1), 267–288. Available from: https://www.jstor.org/stable/2346178
Geurts P, Ernst D, Wehenkel L. Extremely randomized trees. Machine learning. 2006; 63(1), 3–42. 10.1007/s10994-006-6226-1 DOI
Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al.. Scikit-learn: Machine learning in Python. The Journal of machine learning research, 2011; 12, 2825–2830. Available from http://jmlr.csail.mit.edu/papers/volume12/pedregosa11a/pedregosa11a.pdf
R Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2017. https://www.R-project.org
Hastie T, Tibshirani R, Friedman J. The elements of statistical learning. Data Mining, Inference and Prediction. 2nd ed. New York: Springer; 2009.
Potdar K, Pardawala TS, Pai CD. A comparative study of categorical variable encoding techniques for neural network classifiers. International journal of computer applications. 2017; 175(4), 7–9.
Breiman L. Random Forests. Machine Learning. 2001; 45, 5–32. 10.1023/A:1010933404324 DOI
Lawler EJ, Ridgeway C, Markovsky B. Structural social psychology and the micro-macro problem. Sociological Theory. 1993; 268–290. 10.2307/201971 DOI
Schaller M, Park JH. The behavioral immune system (and why it matters). Current directions in psychological science. 2011; 20(2), 99–103. 10.1177/0963721411402596 DOI
Dickert S, Västfjäll D, Mauro R, Slovic P. The feeling of risk: Implications for risk perception and communication. In: Cho H, Reimer T, McComas KA, editors. The SAGE handbook of risk communication. Thousand Oaks, CA, US: SAGE Publications; 2015. pp. 41–54.
Pennycook G, McPhetres J, Zhang Y, Lu JG, Rand DG. Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention. Psychological Science. 2020. 10.1177/0956797620939054 PubMed DOI PMC
Reissman DB, Watson PJ, Klomp RW, Tanielian TL, Prior SD. Pandemic influenza preparedness: adaptive responses to an evolving challenge. Journal of Homeland Security and Emergency Management. 2006; 3(2). 10.2202/1547-7355.1233 DOI
Shultz JM, Cooper JL, Baingana F, Oquendo MA, Espinel Z, Althouse BM, et al.. The role of fear-related behaviors in the 2013–2016 West Africa Ebola virus disease outbreak. Current psychiatry reports. 2016; 18(11), 104. 10.1007/s11920-016-0741-y PubMed DOI PMC
Van Bavel JJ, Baicker K, Boggio PS, Capraro V, Cichocka A, Cikara M, et al.. Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour. 2020; 1–12. 10.1038/s41562-020-0818-9 PubMed DOI
Pappas G, Kiriaze IJ, Giannakis P, Falagas ME. Psychosocial consequences of infectious diseases. Clin Microbiol Infect. 2009; 15:743–7. 10.1111/j.1469-0691.2009.02947.x PubMed DOI PMC
Ho SMY, Kwong-Lo RSY, Mak CWY, Wong JS. Fear of Severe Acute Respiratory Syndrome (SARS) Among Health Care Workers. Journal of Consulting and Clinical Psychology. 2005; 73(2), 344–349. 10.1037/0022-006X.73.2.344 PubMed DOI
Thewes B, Butow P, Bell ML, Beith J, Stuart-Harris R, Grossi M, et al.. Fear of cancer recurrence in young women with a history of early-stage breast cancer: a cross-sectional study of prevalence and association with health behaviours. Supportive Care in Cancer. 2012; 20(11), 2651–2659. 10.1007/s00520-011-1371-x PubMed DOI
Bränström R, Duncan LG, Moskowitz JT. The association between dispositional mindfulness, psychological well-being, and perceived health in a Swedish population-based sample. British journal of health psychology. 2011; 16(2), 300–316. 10.1348/135910710X501683 PubMed DOI PMC
Roberts KC, Danoff-Burg S. Mindfulness and health behaviors: is paying attention good for you?. Journal of American college health, 2010; 59(3). 165–173. 10.1080/07448481.2010.484452 PubMed DOI
Roddenberry A, Renk K. Locus of control and self-efficacy: potential mediators of stress, illness, and utilization of health services in college students. Child Psychiatry & Human Development. 2010; 41(4), 353–370. 10.1007/s10578-010-0173-6 PubMed DOI