Mental health information-seeking in Greece from the Global Financial Crisis to the COVID-19 pandemic: A multiple change-point Google Trends analysis


Published: Dec 20, 2024
Keywords:
change-point analysis, COVID-19, global financial crisis, google trends, mental health services, surveillance
Christina Parpoula
https://orcid.org/0000-0002-3585-4773
Fotios Anagnostopoulos
https://orcid.org/0000-0003-1471-0284
Abstract

During the COVID-19 pandemic, the Greek population was already burdened by the strain of a decade-long financial crisis, which had caused life disruption, insecurity, uncertainty, and loss of symbolic capital, inevitably placing a huge cumulative burden on their mental health. Since other discernable population-level changes in mental health have not yet emerged, continued monitoring is warranted. Identifying emerging needs for mental health services was the major objective of the present study. To accomplish this, a multiple change-point detection and validation approach was employed to analyze Google Trends data, exploring community interest in mental health therapists and treatment practices in Greece. Specifically, Google search data from pre- and post-financial and pandemic crises periods (2004-2023) were analyzed to assess the search frequency of specific topics/terms of interest. The results revealed that, over the last six years or so, searches for terms like “psychologist”, “psychiatrist”, “psychotherapist”, and “neurologist”, as well as treatment practices such as “psychotherapy”, “meditation”,  and “antidepressants”, have increased. However, a decline in searches for “mental health counselor”, “psychotherapy”, “psychoanalysis”, “meditation” and “mental health helplines” was observed after 2011 (persisting for at least the next 5-7 years in certain cases). Searches for “psychoanalyst”, “mental health centre” and “anxiolytics” remained relatively stable throughout the study period. These results, combined with ongoing surveillance, can offer insights into public interest in mental health services and guide public mental health initiatives to be better tailored to the needs of communities, ultimately addressing the psychological toll of the preceding socioeconomic crisis and the current COVID-19 situation.

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Ahmed, N., Barnett, P., Greenburgh, A., Pemovska, T., Stefanidou, T., Lyons, N., Ikhtabi, S., Talwar, S., Francis, E. R., Harris, S. M., Shah, P., Machin, K., Jeffreys, S., Mitchell, L., Lynch, C., Foye, U., Schlief, M., Appleton, R., Saunders, K. R. K., … Johnson, S. (2023). Mental health in Europe during the COVID-19 pandemic: A systematic review. The Lancet Psychiatry, 10(7), 537–556. https://doi.org/10.1016/S2215-0366(23)00113-X
Alibudbud, R. (2023). Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology. Frontiers in Big Data, 6, Article 1132764. https://doi.org/10.3389/fdata.2023.1132764
Anker, A. E., Reinhart, A. M., & Feeley, T. H. (2011). Health information seeking: A review of measures and methods. Patient Education and Counseling, 82(3), 346–354. https://doi.org/10.1016/j.pec.2010.12.008.
Arevian, A. C., Jones, F., Moore, E. M., Goodsmith, N., Aguilar-Gaxiola, S., Ewing, T., Siddiq, H., Lester, P., Cheung, E., Ijadi-Maghsoodi, R., Gabrielian, S., Sugarman, O. K., Bonds, C., Benitez, C., Innes-Gomberg, D., Springgate, B., Haywood, C., Meyers, D., Sherin, J. E., & Wells, K. (2020). Mental health community and health system issues in COVID-19: Lessons from academic, community, provider and policy stakeholders. Ethnicity & Disease, 30(4), 695–700. https://doi.org/10.18865/ed.30.4.695
Arora, V. S., McKee, M., & Stuckler, D. (2019). Google Trends: Opportunities and limitations in health and health policy research. Health Policy, 123, 338-341. https://doi.org/10.1016/j.healthpol.2019.01.001
Bachofner, Y., Seifert, A., Sepahniya, S., & Fabian, C. (2024). Exploring online health information seeking and sharing among older adults: Α mini-review about acceptance, potentials, and barriers. Frontiers in Digital Health, 6, Article 1336430. https://doi.org/10.3389/fdgth.2024.1336430
Bansal, A., Gupta, S., Jain, V., Kumar, A., & Klein, A. (2021). Utilizing Google Trends to assess worldwide interest in COVID-19 and myocarditis. Journal of Medical Systems, 45(2), Article 18. https://doi.org/10.1007/s10916-020-01685-5
Barros, J. M., Melia, R., Francis, K., Bogue, J., O’Sullivan, M., Young, K., Bernert, R. A., Rebholz-Schuhmann, D., & Duggan, J. (2019). The validity of Google Trends search volumes for behavioral forecasting of national suicide rates in Ireland. International Journal of Environmental Research and Public Health, 16(17), Article 3201. https://doi.org/10.3390/ijerph16173201
Blendermann, M., Ebalu, T. I., Obisie-Orlu, I. C., Fried, E. I., & Hallion, L. S. (2024). A narrative systematic review of changes in mental health symptoms from before to during the COVID-19 pandemic. Psychological Medicine, 54(1), 43–66. https://doi.org/10.1017/S0033291723002295
Brodeur, A., Clark, A. E., Fleche, S., & Powdthavee, N. (2021). COVID-19, lockdowns and well-being: Evidence from Google Trends. Journal of Public Economics, 193, Article 104346. https://doi.org/10.1016/j.jpubeco.2020.104346
Bueno-Notivol, J., Gracia-Garcíaa, P., Olayab, B., Lasherasd, I., López-Antónc, R., & Santabárbara, J. (2020). Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies. International Journal of Clinical and Health Psychology, 21(1), Article 100196. https://doi.org/10.1016/j.ijchp.2020.07.007
Campion, J., Javed, A., Lund, C., Sartorius, N., Saxena, S., Marmot, M., Allan, J., & Udomratn, P. (2022). Public mental health: Required actions to address implementation failure in the context of COVID-19. The Lancet Psychiatry, 9(2), 169–182. https://doi.org/10.1016/S2215-0366(21)00199-1
Capizzi, G., & Masarotto G. (2018). Phase I distribution-free analysis with the R package dfphase1. In S.Knoth & W. Schmid (Eds.), Frontiers in statistical quality control (pp. 3–19). Springer. https://doi.org/10.1007/978-3-319-75295-2_1
Cheng, C. (2022). Time-series associations between public Interest in COVID-19 variants and national vaccination rate: A Google Trends analysis. Behavioral Sciences, 12(7), Article 223. https://doi.org/10.3390/bs12070223
Christodoulou, N. G., & Anagnostopoulos, D. C. (2013). The financial crisis and the future of mental health in Greece. International Psychiatry: Bulletin of the Board of International Affairs of the Royal College of Psychiatrists, 10(1), 3–5.
De la Rosa, P. A., Cowden, R. G., de Filippis, R., Jerotic, S., Nahidi, M., Ori, D., Orsolini, L., Nagendrappa, S., Pinto da Costa, M., Ransing, R., Saeed, F., Shoib, S., Turan, S., Ullah, I., Vadivel, R., & Ramalho, R. (2022). Associations of lockdown stringency and duration with Google searches for mental health terms during the COVID-19 pandemic: A nine-country study. Journal of Psychiatric Research, 150, 237–245. https://doi.org/10.1016/j.jpsychires.2022.03.026
Drydakis, N. (2015). The effect of unemployment on self-reported health and mental health in Greece from 2008 to 2013: A longitudinal study before and during the financial crisis. Social Science & Medicine, 128, 43–51. https://doi.org/10.1016/j.socscimed.2014.12.025
Economou, M., Angelopoulos, E., Peppou, L. E., Souliotis, K., & Stefanis, C. (2016). Major depression amid financial crisis in Greece: Will unemployment narrow existing gender differences in the prevalence of the disorder in Greece? Psychiatry Research, 242, 260–261. https://doi.org/10.1016/j.psychres.2016.05.041
Economou, M., Madianos, M., Peppou, L. E., Patelakis, A., & Stefanis, C. N. (2013). Major depression in the era of economic crisis: A replication of a cross-sectional study across Greece. Journal of Affective Disorders, 145(3), 308–314. https://doi.org/10.1016/j.jad.2012.08.008
Eichenauer, V. Z., Indergand, R., Martínez, I. Z., & Sax, C. (2022). Obtaining consistent time series from Google Trends. Economic Inquiry, 60, 694–705. https://doi.org/10.1111/ecin.13049
Eiraldi, R. B., Mazzuca, L. B., Clarke, A. T., & Power, T. J. (2006). Service utilization among ethnic minority children with ADHD: A model of help-seeking behavior. Administration and Policy in Mental Health, 33(5), 607–622. https://doi.org/10.1007/s10488-006-0063-1
European Commission. (2023). Flash Eurobarometer 530 Report (Mental health). Ipsos European Public Affairs, Publications Office of the European Union. GESIS, Cologne. ZA8761 Data file Version 1.0.0. https://doi.org/10.4232/1.14204
Ford, M. T. (2020). Internet search and page view behavior scores: Validity and usefulness as indicators of psychological states. In S.E. Woo, L. Tay, & R.W. Proctor (Eds.), Big data in psychological research (pp. 89– 107). American Psychological Association.
Fountoulakis, K. N., Apostolidou, M. K., Atsiova, M. B., Filippidou, A. K., Florou, A. K., Gousiou, D. S., Katsara, A. R., Mantzari, S. N., Padouva-Markoulaki, M., Papatriantafyllou, E. I., Sacharidi, P. I., Tonia, A. I., Tsagalidou, E. G., Zymara, V. P., Prezerakos, P. E., Koupidis, S. A., Fountoulakis, N. K., & Chrousos, G. P. (2021). Self-reported changes in anxiety, depression and suicidality during the COVID-19 lockdown in Greece. Journal of Affective Disorders, 279, 624–629. https://doi.org/10.1016/j.jad.2020.10.061
Frasquilho, D., Matos, M. G., Salonna, F., Guerreiro, D., Storti, C. C., Gaspar, T., & Caldas-De-Almeida, J. M. (2015). Mental health outcomes in times of economic recession: A systematic literature review. BMC Public Health, 16, Article 115. https://doi.org/10.1186/s12889-016-2720-y
Georgakopoulos, T. (2022), What Greeks believe in 2022 - Part A. DiaNEOsis Research and Policy Institute. Retrieved from: https://www.dianeosis.org/en/2022/09/what-greeks-believe-in-2022-part-a/
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457, 1012–1014. https://doi.org/10.1038/nature07634
Gournellis, R., & Efstathiou, V. (2021). The impact of the COVID-19 Pandemic on the Greek population: Suicidal ideation during the first and second lockdown. Psychiatrike=Psychiatriki, 32(4), 267–270. https://doi.org/10.22365/jpsych.2021.041
Halvorsen, K. (2016). Economic, financial, and political crisis and well-being in the PIGS-countries. Sage Open, 6(4). https://doi.org/10.1177/2158244016675198
Hoerger, M., Alonzi, S., Perry, L. M., Voss, H. M., Easwar, S., & Gerhart, J. I. (2020). Impact of the COVID-19 pandemic on mental health: Real-time surveillance using Google Trends. Psychological Trauma: Theory, Research, Practice, and Policy, 12(6), 567–568. https://doi.org/10.1037/tra0000872
Jia, X., Pang, Y., & Liu L. S. (2021). Online health information seeking behavior: A systematic review. Healthcare (Basel), 9(12), Article 1740. https://doi.org/10.3390/healthcare9121740
Johnson, J. D., Donohue, W. A., Atkin, C. K., & Johnson, S. (1995). A comprehensive model of information seeking. Science Communication, 16(3), 274–303. https://doi.org/10.1177/1075547095016003003
Kalaitzaki, A., Tsouvelas, G., Tamiolaki, A., & Konstantakopoulos, G. (2022). Post‐traumatic stress symptoms during the first and second COVID‐19 lockdown in Greece: Rates, risk, and protective factors. International Journal of Mental Health Nursing, 31(1), 153–166. https://doi.org/10.1111/inm.12945
Karaivazoglou, K., Konstantopoulou, G., Kalogeropoulou, M., Iliou, T., Vorvolakos, T., Assimakopoulos, K., Gourzis, P., & Alexopoulos, P. (2021). Psychological distress in the Greek general population during the first COVID-19 lockdown. British Journal of Psychiatry Open, 7(2), Article e59. https://doi.org/10.1192/bjo.2021.17
Knapp, M., & Wong, G. (2020). Economics and mental health: The current scenario. World Psychiatry, 19(1), 3–14. https://doi.org/10.1002/wps.20692
Knipe, D., Evans, H., Sinyor, M., Niederkrotenthaler, T., Gunnell, D., & John, A. (2020). Tracking online searches for emotional wellbeing concerns and coping strategies in the UK during the COVID-19 pandemic: A Google Trends analysis. Wellcome Open Research, 5: 220, 1–11. https://doi.org/10.12688/wellcomeopenres.16147.1
Knipe, D., Gunnell, D., Evans, H., John, A., & Fancourt, D. (2021). Is Google Trends a useful tool for tracking mental and social distress during a public health emergency? A time-series analysis. Journal of Affective Disorders, 294, 737–744. https://doi.org/10.1016/j.jad.2021.06.086
Konstantakopoulos, G., Pikouli, K., Ploumpidis, D., Bougonikolou, E., Kouyanou, K., Nystazaki, M., & Economou, M. (2019). The impact of unemployment on mental health examined in a community mental health unit during the recent financial crisis in Greece. Psychiatrike=Psychiatriki, 30(4), 281–290. https://doi.org/10.22365/jpsych.2019.304.281
Kubb, C., & Foran, H. M. (2020). Online health information seeking by parents for their children: Systematic review and agenda for further research. Journal of Medical Internet Research, 22(8), Article e19985. https://doi.org/10.2196/19985
Laliotis, I., Ioannidis, J. P. A., & Stavropoulou, C. (2016). Total and cause-specific mortality before and after the onset of the Greek economic crisis: An interrupted time-series analysis. The Lancet Public Health, 1(2), e56–e65. https://doi.org/10.1016/S2468-2667(16)30018-4
Louvardi, M., Pelekasis, P., Chrousos, G. P., & Darviri, C. (2020). Mental health in chronic disease patients during the COVID-19 quarantine in Greece. Palliative & Supportive Care, 18(4), 394–399. https://doi.org/10.1017/S1478951520000528
Madianos, M., Economou, M., Alexiou, T., & Stefanis, C. (2011). Depression and economic hardship across Greece in 2008 and 2009: Two cross-sectional surveys nationwide. Social Psychiatry and Psychiatric Epidemiology, 46(10), 943–952. https://doi.org/10.1007/s00127-010-0265-4
Magklara, K., Lazaratou, H., Barbouni, A., Poulas, K., & Farsalinos, K. (2023). The impact of COVID-19 lockdown on children’s and adolescents’ mental health in Greece. Children & Society, 37(2), 469–484. https://doi.org/10.1111/chso.12605
Marazziti, D., Avella, M. T., Mucci, N., Della Vecchia, A., Ivaldi, T., Palermo, S., & Mucci, F. (2021). Impact of economic crisis on mental health: A 10-year challenge. CNS Spectrums, 26(1), 7–13. https://doi.org/10.1017/S1092852920000140
Marton, C., & Wei Choo, C. (2012). A review of theoretical models of health information seeking on the web. Journal of Documentation, 68(3), 330–352. https://doi.org/10.1108/00220411211225575
Mavragani, A., Ochoa, G., & Tsagarakis, K. P. (2018). Assessing the methods, tools, and statistical approaches in Google Trends research: Systematic review. Journal of Medical Internet Research, 20(11), Article e270. https://doi.org/10.2196/jmir.9366
Moreno, C., Wykes, T., Galderisi, S., Nordentoft, M., Crossley, N., Jones, N., Cannon, M., Correll, C. U., Byrne, L., Carr, S., Chen, E. Y. H., Gorwood, P., Johnson, S., Kärkkäinen, H., Krystal, J. H., Lee, J., Lieberman, J., López-Jaramillo, C., Männikkö, M.,. . .Arango, C. (2020). How mental health care should change as a consequence of the COVID-19 pandemic. The Lancet Psychiatry, 7(9), 813–824. https://doi.org/10.1016/S2215-0366(20)30307-2
Mylona, K., Tsiantou, V., Zavras, D., Pavi, E., & Kyriopoulos, J. (2014). Determinants of self-reported frequency of depressive symptoms in Greece during economic crisis. Public Health, 128(8), 752–754. https://doi.org/10.1016/j.puhe.2014.05.009
Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., Barg, F. K., Weiner, J. L., & Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication, 22(2), 153–167. https://doi.org/10.1080/10410230701454189
Ng, K. H., Agius, M., & Zaman, R. (2013). The global economic crisis: Effects on mental health and what can be done. Journal of the Royal Society of Medicine, 106(6), 211-214. https://doi.org/10.1177/0141076813481770
Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of google trends in health care research: A systematic review. PloS One, 9(10), Article e109583. https://doi.org/10.1371/journal.pone.0109583
Paleologou, M. P., Anagnostopoulos, D. C., Lazaratou, H., Economou, M., Peppou, L. E., & Malliori, M. (2018). Adolescents’ mental health during the financial crisis in Greece: The first epidemiological data. Psychiatrike=Psychiatriki, 29(3), 271–274. https://doi.org/10.22365/jpsych.2018.293.271
Parker, P. D., Jerrim, J., & Anders, J. (2016). What effect did the global financial crisis have upon youth wellbeing? Evidence from four Australian cohorts. Developmental Psychology, 52(4), 640–651. https://doi.org/10.1037/dev0000092
Parlapani, E., Holeva, V., Voitsidis, P., Blekas, A., Gliatas, I., Porfyri, G. N., Golemis, A., Papadopoulou, K., Dimitriadou, A., Chatzigeorgiou, A. F., Bairachtari, V., Patsiala, S., Skoupra, M., Papigkioti, K., Kafetzopoulou, C., & Diakogiannis, I. (2020). Psychological and behavioral responses to the COVID-19 pandemic in Greece. Frontiers in Psychiatry, 11, Article 821. https://doi.org/10.3389/fpsyt.2020.00821
Parpoula, C. (2022). A distribution-free control charting technique based on change-point analysis for detection of epidemics. Statistical Methods in Medical Research, 31(6), 1067–1084. https://doi.org/10.1177/09622802221079347
Parpoula, C., & Karagrigoriou, A. (2022) On optimal segmentation and parameter tuning for multiple change-point detection and inference. Journal of Statistical Computation and Simulation, 92(18), 3789–3816. https://doi.org/10.1080/00949655.2022.2083127
Parpoula, C., & Karagrigoriou, A. (2020). On change-point analysis-based distribution-free control charts with phase I applications. In M. Koutras & I. Triantafyllou (Eds.), Distribution-free methods for statistical process monitoring and control (pp. 157–182). Springer. https://doi.org/10.1007/978-3-030-25081-2_5
Patsali, M. E., Mousa, D. V., Papadopoulou, E. V. K., Papadopoulou, K. K. K., Kaparounaki, C. K., Diakogiannis, I., & Fountoulakis, K. N. (2020). University students' changes in mental health status and determinants of behavior during the COVID-19 lockdown in Greece. Psychiatry Research, 292, Article 113298. https://doi.org/10.1016/j.psychres.2020.113298
Pezirkianidis, C., Parpoula, C., Athanasiades, C., Flora, K., Makris, N., Moraitou, D., Papantoniou, G., Vassilopoulos, S., Sini, M., & Stalikas, A. (2023). Individual differences on wellbeing indices during the COVID-19 quarantine in Greece: A national study. International Journal of Environmental Research and Public Health, 20, Article 7182. https://doi.org/10.3390/ijerph20247182
Pfefferbaum, B., & North, C. S. (2020). Mental health and the covid-19 pandemic. The New England Journal of Medicine, 383(6), 510–512. https://doi.org/10.1056/NEJMp2008017
Reynolds, K. A., Mackenzie, C.S., Medved, M., Dudok, S., & Koven, L. (2023). Older adults’ mental health information preferences: A call for more balanced information to empower older adults’ mental health help-seeking. Ageing and Society, 43(12), 2845–2874. https://doi.org/10.1017/S0144686X21001896
Rossell, S. L., Neill, E., Phillipou, A., Tan, E. J., Toh, W. L., Van Rheenen, T. E., & Meyer, D. (2021). An overview of current mental health in the general population of Australia during the COVID-19 pandemic: Results from the COLLATE project. Psychiatry Research, 296, Article 113660. https://doi.org/10.1016/j.psychres.2020.113660
Rotter, D., Doebler, P., & Schmitz, F. (2021). Interests, motives, and psychological burdens in times of crisis and lockdown: Google Trends analysis to inform policy makers. Journal of Medical Internet Research, 23(6), Article e26385. https://doi.org/10.2196/26385
Shneyderman, Y., Rutten, L. J., Arheart, K. L., Byrne, M. M., Kornfeld, J., & Schwartz, S. J. (2016). Health information seeking and cancer screening adherence rates. Journal of Cancer Education, 31(1), 75–83. https://doi.org/10.1007/s13187-015-0791-6
Śniadach, J., Szymkowiak, S., Osip, P., & Waszkiewicz, N. (2021). Increased depression and anxiety disorders during the COVID-19 pandemic in children and adolescents: A literature review. Life (Basel, Switzerland), 11(11), Article 1188. https://doi.org/10.3390/life11111188
Statista (2024). Market share of leading desktop search engines worldwide from January 2015 to January 2024. Statista. Retrieved March 7, 2024, from https://www.statista.com/statistics/216573/worldwide-market-share-of-search-engines
Stuckler, D. (2015). Economic shocks, resilience, and male suicides in the Great Recession: Cross-national analysis of 20 EU countries. European Journal of Public Health, 25(3), 404–409. https://doi.org/10.1093/eurpub/cku168
Stylianidis, S., & Souliotis, K. (2019). The impact of the long-lasting socioeconomic crisis in Greece. British Journal of Psychiatry International, 16(1), 16–18. https://doi.org/10.1192/bji.2017.31
Stylianou, T., & Ntelas, K. (2023). Impact of COVID-19 pandemic on mental health and socioeconomic aspects in Greece. International Journal of Environmental Research and Public Health, 20(3), Article 1843. https://doi.org/10.3390/ijerph20031843
Sun, Y., Wu, Y., Fan, S., Dal Santo, T., Li, L., Jiang, X., Li, K., Wang, Y., Tasleem, A., Krishnan, A., He, C.,Bonardi, O., Boruff, J., Rice, D. B., Markham, S., Levis, B., Azar, M., Thombs-Vite, I., Neupane, D.,. . .Thombs, B.D. (2023). Comparison of mental health symptoms before and during the covid-19 pandemic: Evidence from a systematic review and meta-analysis of 134 cohorts. BMJ, 380, Article e074224. https://doi.org/10.1136/bmj-2022-074224
Sycińska-Dziarnowska, M., Szyszka-Sommerfeld, L., Kłoda, K., Simeone, M., Woźniak, K., & Spagnuolo, G. (2021). Mental health interest and its prediction during the COVID-19 pandemic using Google Trends. International Journal of Environmental Research and Public Health, 18(23), Article 12369. https://doi.org/10.3390/ijerph182312369
Szilagyi, I.-S., Eggeling, E., Bornemann-Cimenti, H., & Ullrich, T. (2023). Impact of the pandemic and its containment measures in Europe upon aspects of affective impairments: A Google Trends informetrics study. Psychological Medicine, 53(16), 7685–7697. https://doi.org/10.1017/S0033291723001563
Talamonti, D., Schneider, J., Gibson, B., & Forshaw, M. (2023) The impact of national and international financial crises on mental health and well-being: A systematic review. Journal of Mental Health. Advance online publication. https://doi.org/10.1080/09638237.2023.2278104
Tan, S. S-L., & Goonawardene, N. (2017). Internet health information seeking and the patient- physician relationship: A systematic review. Journal of Medical Research, 19(1), Article e9. https://doi.org/10.2196/jmir.5729
Tuliao, A. P., Mullet, N. D., Hawkins, L. G., Holyoak, D., Weerts, M., & Inyang, A. (2022). Searching for mental health services: Search strings and information acquisition. Journal of Technology in Behavioral Science, 7(2), 198–210. https://doi.org/10.1007/s41347-021-00238-y
Volkos, P., & Symvoulakis, E. K. (2021). Impact of financial crisis on mental health: A literature review ‘puzzling’ findings from several countries. The International Journal of Social Psychiatry, 67(7), 907–919. https://doi.org/10.1177/00207640211011205
Wei, X., Du, Z., & Zhang, S.(2016). Analysis of barriers to health information seeking and utilizing in patients with diabetes. Cross-Cultural Communication, 12(2), 48–51. http://dx.doi.org/10.3968/8153
World Health Organization. (2022). World mental health report: Transforming mental health for all. Retrieved from https://www.who.int/publications/i/item/9789240049338
Yang, Q., Van Stee, S. K., & Rains, S. A. (2023). Comprehensive model of information seeking: A meta-analysis. Journal of Health Communication, 28(6), 360–374. https://doi.org/10.1080/10810730.2023.2214097
Yigzaw, K. Y., Wynn, R., Marco-Ruiz, L., Budrionis, A., Oyeyemi, S. O., Fagerlund, A. J., & Bellika, J. G. (2020). The association between health information seeking on the internet and physician visits (The Seventh Tromsø Study - Part 4): Population-based questionnaire study. Journal of Medical Internet Research, 22(3), Article e13120. https://doi.org/10.2196/13120
Zhao, X., Coxe, S. J., Timmons, A. C., & Frazier, S. L. (2022a). Mental health information seeking online: A Google Trends analysis of ADHD. Administration and Policy in Mental Health, 49(3), 357–373. https://doi.org/10.1007/s10488-021-01168-w
Zhao, Y. C., Zhao, M., & Song, S. (2022b). Online health information seeking behaviors among older adults: Systematic scoping review. Journal of Medical Internet Research, 24(2), Article e34790. https://doi.org/10.2196/34790
Zimmerman, M. S., & Shaw, G., Jr (2020). Health information seeking behaviour: A concept analysis. Health Information and Libraries Journal, 37(3), 173–191. https://doi.org/10.1111/hir.12287
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