Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-24T03:08:04.026Z Has data issue: false hasContentIssue false

Pre-pandemic psychological and behavioral predictors of responses to the COVID-19 pandemic in nine countries

Published online by Cambridge University Press:  13 December 2021

Jennifer E. Lansford*
Affiliation:
Duke University, Durham, NC, USA
Ann T. Skinner
Affiliation:
Duke University, Durham, NC, USA
Jennifer Godwin
Affiliation:
Duke University, Durham, NC, USA
Lei Chang
Affiliation:
University of Macau, Macau, China
Kirby Deater-Deckard
Affiliation:
University of Massachusetts, Amherst, MA, USA
Laura Di Giunta
Affiliation:
Università di Roma “La Sapienza,” Rome, Italy
Kenneth A. Dodge
Affiliation:
Duke University, Durham, NC, USA
Sevtap Gurdal
Affiliation:
University West, Trollhättan, Sweden
Qin Liu
Affiliation:
Chongqing Medical University, Chongqing, China
Qian Long
Affiliation:
Duke Kunshan University, Kunshan, China
Paul Oburu
Affiliation:
Maseno University, Maseno, Kenya
Concetta Pastorelli
Affiliation:
Università di Roma “La Sapienza,” Rome, Italy
Emma Sorbring
Affiliation:
University West, Trollhättan, Sweden
Laurence Steinberg
Affiliation:
Temple University, Philadelphia, PA, USA, and King Abdulaziz University, Jeddah, Saudi Arabia
Sombat Tapanya
Affiliation:
Chiang Mai University, Chiang Mai, Thailand
Liliana Maria Uribe Tirado
Affiliation:
Universidad de San Buenaventura, Medellín, Colombia
Saengduean Yotanyamaneewong
Affiliation:
Chiang Mai University, Chiang Mai, Thailand
Liane Peña Alampay
Affiliation:
Ateneo de Manila University, Quezon City, Philippines
Suha M. Al-Hassan
Affiliation:
Hashemite University, Zarqa, Jordan
Dario Bacchini
Affiliation:
University of Naples “Federico II,” Naples, Italy
Marc H. Bornstein
Affiliation:
Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA, UNICEF, New York, USA, and Institute for Fiscal Studies, London, UK
*
Corresponding author: Jennifer E. Lansford, email: lansford@duke.edu

Abstract

Prior to the COVID-19 pandemic, adolescents (N = 1,330; Mages = 15 and 16; 50% female), mothers, and fathers from nine countries (China, Colombia, Italy, Jordan, Kenya, Philippines, Sweden, Thailand, United States) reported on adolescents’ internalizing and externalizing problems, adolescents completed a lab-based task to assess tendency for risk-taking, and adolescents reported on their well-being. During the pandemic, participants (Mage = 20) reported on changes in their internalizing, externalizing, and substance use compared to before the pandemic. Across countries, adolescents’ internalizing problems pre-pandemic predicted increased internalizing during the pandemic, and poorer well-being pre-pandemic predicted increased externalizing and substance use during the pandemic. Other relations varied across countries, and some were moderated by confidence in the government’s handling of the pandemic, gender, and parents’ education.

Type
Regular Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abuhammad, S. (2021). Violence against Jordanian women during COVID-19 outbreak. International Journal of Clinical Practice, 75, e13824.CrossRefGoogle Scholar
Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA School-Age Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2006). Multicultural understanding of child and adolescent psychopathology: Implications for mental health assessment. Guilford Press.Google Scholar
Alqutob, R., Al Nsour, M., Tarawneh, M. R., Ajlouni, M., Khader, Y., Aqel, I., Kharabsheh, S., & Obeidat, N. (2020). COVID-19 crisis in Jordan: Response, scenarios, strategies, and recommendations. JMIR Public Health Surveillance, 6, e19332.CrossRefGoogle Scholar
Amariles, P., Granados, J., Ceballos, M., & Montoya, C. J. (2021). COVID-19 in Colombia endpoints. Are we different, like Europe? Research in Social and Administrative Pharmacy, 17, 20362039.CrossRefGoogle Scholar
Asadullah, M. N., & Bhula-or, R. (2020, April 28). Why COVID-19 will worsen inequality in Thailand. The Diplomat. Available https://thediplomat.com/2020/04/why-covid-19-will-worsen-inequality-in-thailand/ Google Scholar
Bermudez, L. G., Stark, L., Bennouna, C., Jensen, C., Potts, A., Kaloga, I. F., Tilus, R, Buteau, J. E., Marsh, M., Hoover, A, & Williams, M. L. (2019). Converging drivers of interpersonal violence: Findings from a qualitative study in post-hurricane Haiti. Child Abuse & Neglect, 89, 178191.CrossRefGoogle Scholar
Björkqvist, K. (2018). Gender differences in aggression. Current Opinion in Psychology, 19, 3942.CrossRefGoogle ScholarPubMed
Bloomberg. (2020, December 17). Sweden losing trust in top Covid-19 strategist who rejected lockdowns. The Straits Times. Available https://www.straitstimes.com/world/europe/swedens-top-covid-19-strategist-is-losing-populations-trust Google Scholar
Bornstein, M. H. (2021). The SARS-CoV-2 pandemic: Issues for families, parents, and children. In Bornstein, M. H. (Ed.), Psychological insights for understanding COVID-19 and families, parents, and children (pp. 169). New York, NY: Routledge.Google Scholar
Burki, T. (2020). China’s successful control of COVID-19. The Lancet Infectious Diseases, 20, 12401241.CrossRefGoogle Scholar
Centers for Disease Control and Prevention. (2021). Guidance documents. Available https://www.cdc.gov/coronavirus/2019-ncov/communication/guidance-list.html?Sort=Date%3A%3Adesc Google Scholar
Chen, J. T., & Krieger, N. (2021). Revealing the unequal burden of COVID-19 by income, race/ethnicity, and household crowding: US county versus zip code analyses. Journal of Public Health Management and Practice, 27, S43S56.CrossRefGoogle Scholar
Cummins, R. (2010). Subjective well-being, homeostatically protected mood and depression: A synthesis. Journal of Happiness Studies, 1, 117.CrossRefGoogle Scholar
Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development, 11, 121136.CrossRefGoogle Scholar
Duell, N., Steinberg, L., Icenogle, G., Chein, J., Chaudhary, N., Di Giunta, L., Dodge, K. A., Fanti, K. A., Lansford, J. E., Oburu, P., Pastorelli, C., Skinner, A. T., Sorbring, E., Tapanya, S., Uribe Tirado, L. M., Alampay, L. P., Al-Hassan, S. M., Takash, H. M. S., Bacchini, D., & Chang, L. (2018). Age patterns in risk taking across the world. Journal of Youth and Adolescence, 47, 10521072.CrossRefGoogle Scholar
Elassar, A. (2020, May 5). This is where all 50 states stand on reopening. CNN. Available https://www.cnn.com/interactive/2020/us/states-reopen-coronavirus-trnd/ Google Scholar
Erkut, S. (2010). Developing multiple language versions of instruments for intercultural research. Child Development Perspectives, 4, 1924.CrossRefGoogle Scholar
Ettman, C. K., Abdalla, S. M., Cohen, G. H., Sampson, L., Vivier, P. M., & Galea, S. (2020). Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA Network Open, 9, e2019686.CrossRefGoogle Scholar
Gatto, M., Bertuzzo, E., Mari, L., Miccoli, S., Carraro, L., Casagrandi, R., & Rinaldo, A. (2020). Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures. Proceedings of the National Academy of Sciences, 117, 1048410491.CrossRefGoogle Scholar
Girgus, J. S., & Yang, K. (2015). Gender and depression. Current Opinion in Psychology, 4, 5360.CrossRefGoogle Scholar
Goodwin, R., Wiwattanapantuwong, J., Tuicomepee, A., Suttiwan, P., & Watakakosol, R. (2020). Anxiety and public responses to Covid-19: Early data from Thailand. Journal of Psychiatric Research, 129, 118121.CrossRefGoogle Scholar
Guglielmi, S., Dotti Sani, G. M., Molteni, F., Biolcati, F., Chiesi, A. M., Ladini, R., Maraffi, M., Pedrazzani, A., & Vezzoni, C. (2020). Public acceptability of containment measures during the COVID-19 pandemic in Italy: How institutional confidence and specific political support matter. International Journal of Sociology and Social Policy, 40, 10691085.CrossRefGoogle Scholar
Hatoum, A. S., Rhee, S. H., Corley, R. P., Hewitt, J. K., & Friedman, N. P. (2018). Etiology of stability and growth of internalizing and externalizing behavior problems across childhood and adolescence. Behavior Genetics, 48, 298314.CrossRefGoogle Scholar
Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., & Styra, R. (2004). SARS control and psychological effects of quarantine, Toronto, Canada. Emerging Infectious Diseases, 10, 12061212.CrossRefGoogle Scholar
Helliwell, J. F., Shiplett, H., & Bonikowska, A. (2020). Migration as a test of the happiness set-point hypothesis: Evidence from immigration to Canada and the United Kingdom. Canadian Journal of Economics, 53, 16181641.CrossRefGoogle Scholar
Hernández, J. C. (2020, Oct. 30). U.S. says virus can’t be controlled. China aims to prove it wrong. The New York Times. Available https://www.nytimes.com/2020/10/30/world/asia/china-covid-coronavirus.html?auth=linked-google Google Scholar
Kern, M. L., Benson, L., Steinberg, E. A., & Steinberg, L. (2016). The EPOCH measure of adolescent well-being. Psychological Assessment, 28, 586597.CrossRefGoogle Scholar
Kim, K. J., Conger, R. D., Elder, G. H. Jr., & Lorenz, F. O. (2003). Reciprocal influences between stressful life events and adolescent internalizing and externalizing problems. Child Development, 74, 127143.CrossRefGoogle Scholar
Kliff, S., Satariano, A., Silver-Greenberg, J., & Kulish, N. (2020, March 18). There aren’t enough ventilators to cope with the coronavirus. New York Times. Available https://www.nytimes.com/2020/03/18/business/coronavirus-ventilator-shortage.html Google Scholar
Kline, R. B. (2011). Principles and practices of structural equation modeling (3rd ed.). New York, NY: Guilford Press.Google Scholar
LaSpada, N., Delker, E., East, P., Blanco, E., Delva, J., Burrows, R., Lozoff, B., & Gahagan, S. (2020). Risk taking, sensation seeking and personality as related to changes in substance use from adolescence to young adulthood. Journal of Adolescence, 82, 2331.CrossRefGoogle Scholar
Miller, P., & Votruba-Drzal, E. (2017). The role of family income dynamics in predicting trajectories of internalizing and externalizing problems. Journal of Abnormal Child Psychology, 45, 543556.CrossRefGoogle Scholar
Miriri, D. (2020, April 29). Most Kenyan regions ill-prepared to tackle COVID-19 pandemic, Senate warns. U.S. News and World Report. Available https://www.usnews.com/news/world/articles/2020-04-29/most-kenyan-regions-ill-prepared-to-tackle-covid-19-pandemic-senate-warns Google Scholar
Muthén, B., & Asparouhov, T. (2014). IRT studies of many groups: The alignment method. Frontiers in Psychology, 5, 978.Google Scholar
Muthén, B. O., & Muthén, L. K. (2018). Mplus Version 8: User’s guide. Authors.Google Scholar
Patel, J. A., Nielsen, F. B. H., Badiani, A. A., Assi, S., Unadkat, V. A., Patel, B., Ravindrane, R., & Wardle, H. (2020). Poverty, inequality, and COVID-19: The forgotten vulnerable. Public Health, 183, 110111.CrossRefGoogle Scholar
Petersen, I. T., Lindhiem, O., LeBeau, B., Bates, J. E., Pettit, G. S., Lansford, J. E., & Dodge, K. A. (2018). Development of internalizing problems from adolescence to emerging adulthood: Accounting for heterotypic continuity with vertical scaling. Developmental Psychology, 54, 586599.CrossRefGoogle Scholar
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437448.CrossRefGoogle Scholar
Rubin, G. J., Amlôt, R., Page, L., & Wessely, S. (2009). Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: Cross sectional telephone survey. British Medical Journal, 339, b2651.CrossRefGoogle Scholar
Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Rasoulpoor, S., & Khaledi-Paveh, B. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Global Health, 16, 57.CrossRefGoogle Scholar
Sigal, L., Ramos Miranda, N. A., Martinez, A. I., & Machicao, M. (2020, April 27). Another pandemic: In Latin America, domestic abuse rises amid lockdown. World News. Available https://www.reuters.com/article/us-health-coronavirus-latam-domesticviol-idUSKCN2291JS Google Scholar
Skinner, A. T., Godwin, J., Alampay, L. P., Lansford, J. E., Bacchini, D., Bornstein, M. H., Deater-Deckard, K., Di Giunta, L., Dodge, K. A., Gurdal, S., Pastorelli, C., Sorbring, E., Steinberg, L., Tapanya, S., & Yotanyamaneewong, S. (2021, in press). Parent-adolescent relationship quality as a moderator of links between COVID-19 disruption and reported changes in mothers’ and young adults’ adjustment in five countries. Developmental Psychology.CrossRefGoogle Scholar
Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44, 17641778.CrossRefGoogle Scholar
Stensöta, H. O., & Bendz, A. (2020). Public response to welfare policy retrenchment: The importance of trust in implementing agencies. The case of early retirement in Sweden 1999–2010. Social and Policy Administration, 54, 102118.CrossRefGoogle Scholar
Streiner, D. L. (2003). Being inconsistent about consistency: When coefficient alpha does and doesn’t matter. Journal of Personality Assessment, 80, 217222.CrossRefGoogle Scholar
Supplementary material: File

Lansford et al. supplementary material

Lansford et al. supplementary material

Download Lansford et al. supplementary material(File)
File 2.4 MB