The Impact of Health Message on People's Attitude Toward Wearing a Mask: The Moderating Role of Self-Construal
[Dampak Pesan Kesehatan Terhadap Sikap Penggunaan Masker: Peran Moderasi Self-Construal]
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Abstract
With the rising case of COVID-19, governments worldwide have recommended that every citizen wear a face mask or a cover in public places where practicing social distancing would be difficult. However, many people refuse to wear masks. This study will investigate why some people refuse to wear masks in public despite clear health benefits. Using two experimental studies, 100 participants living in the United States of America were recruited from Amazon Mechanical Turk (MTurk) for Study 1, while 96 participants living in the United States of America were also recruited from Amazon Mechanical Turk (MTurk) for Study 2. The results show that perceived severity is vital in encouraging people to wear masks. People see what they want to see. Perceived severity has a direct effect and mediated effect. This is consistent with the health belief model, suggesting that a high perceived disease severity causes proactive health-protection behaviors. Furthermore, the results show self-construal moderates the relationship between perceived severity and people's attitude toward wearing a mask. This study will make several theoretical contributions to social marketing, working on health message campaigns. The government and health officials need to work together to create a consistent message on the virus's severity. In addition, government, social marketers, and public officials need to create a distinct message to target two different segments (interdependent vs. independent individuals). This is one of the first few studies exploring the impact of self-construal on health message campaigns related to a disease such as COVID-19.
Dengan meningkatnya jumlah kasus COVID-19, pemerintah di seluruh dunia merekomendasikan bahwa tiap warga negara menggunakan masker atau penutup wajah di tempat publik ketika praktik social distancing sulit dilaksanakan. Walaupun demikian, banyak orang menolak menggunakan masker. Studi ini menyelidiki mengapa sejumlah orang menolak menggunakan masker di tempat publik, walaupun ada banyak keuntungan secara medis. Dalam studi ini, ada dua studi eksperimen yang dilaksanakan, yaitu Studi 1 dengan 100 partisipan yang tinggal di Amerika Serikat dan Studi 2 dengan 96 partisipan yang tinggal di Amerika Serikat. Partisipan kedua studi tersebut direkrut menggunakan Amazon Mechanical Turk (MTurk). Hasil studi menunjukkan bahwa tingkat keparahan penting dalam mendorong orang untuk menggunakan masker. Manusia melihat apa yang ingin dilihat. Persepsi atas tingkat keparahan memiliki efek langsung dan efek mediasi. Hal tersebut konsisten dengan health belief model, ketika persepsi atas tingkat keparahan yang tinggi menyebabkan perilaku perlindungan kesehatan yang proaktif. Lebih lanjut, hasil juga menunjukkan bahwa self-construal memoderasi hubungan antara persepsi atas tingkat keparahan dan sikap terhadap menggunakan masker. Studi ini berkontribusi secara teoretis terhadap social marketing, terutama kampanye pesan kesehatan. Pejabat pemerintah dan kesehatan perlu bekerja sama dalam menciptakan pesan yang konsisten sehubungan dengan keparahan virus. Selain itu, pemerintah, social marketers, dan pejabat publik perlu menciptakan pesan khusus untuk dua kategori target berbeda (individu interdependen vs. independen). Studi ini merupakan salah satu studi pertama yang membahas dampak self-construal pada kampanye pesan kesehatan, terkait dengan penyakit seperti COVID-19.
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References
Abraham, C., & Sheeran, P. (2005). The health belief model. In M. Conner, & P. Norman (Eds.), Predicting health behaviour: Research and practice with social cognition models (2nd ed.) (pp. 28-80). Open University Press.
Akpinar, E., Verlegh, P. W. J., & Smidts, A. (2018). Sharing product harm information: The effects of self-construal and self-relevance. International Journal of Research in Marketing, 35(2), 319-335. https://doi.org/10.1016/j.ijresmar.2018.01.001
Andreasen, A. R. (2004). A social marketing approach to changing mental health practices directed at youth and adolescents. Health Marketing Quarterly, 21(4), 51-75. https://doi.org/10.1300/J026v21n04_04
Aratani, L. (2020). How did face masks become a political issue in America? The Guardian. https://www.theguardian.com/world/2020/jun/29/face-masks-us-politics-coronavirus
Bai, N. (2020). Still confused about masks? Here's the science behind how face masks prevent coronavirus. University of California San Francisco. https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent
Barroso, J., McMillan, S., Casey, L., Gibson, W., Kaminski, G., & Meyer, J. (2000). Comparison between African-American and white women in their beliefs about breast cancer and their health locus of control. Cancer Nursing, 23(4), 268-276. https://doi.org/10.1097/00002820-200008000-00003
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3-5. https://doi.org/10.1177/1745691610393980
Buhrmester, M., Talaifar, S., & Gosling, S. D. (2018). An evaluation of Amazon's Mechanical Turk, its rapid rise, and its effective use. Perspectives on Psychological Science, 13(2), 149-154. https://doi.org/10.1177/1745691617706516
Burish, T. G., Carey, M. P., Wallston, K. A., Stein, M. J., Jamison, R. N., & Lyles, J. N. (1984). Health locus of control and chronic disease: An external orientation may be advantageous. Journal of Social and Clinical Psychology, 2(4), 326-332. https://doi.org/10.1521/jscp.1984.2.4.326
Calderon, C. (2019). The importance of shared beliefs for social marketing programmes. Journal of Social Marketing, 9(1), 26-39. https://doi.org/10.1108/JSOCM-01-2018-0013
Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (pp. 45-65). Jossey-Bass. https://psycnet.apa.org/record/2008-17146-003
Chang, E. C., Yu, E. A., & Kahle, E. R. (2014). BMI, body discrepancy, and self-construal as predictors of eating disturbances in European and Asian American females. Eating Behaviors, 15(2), 328-330. https://doi.org/10.1016/j.eatbeh.2013.12.001
Cross, S. E., & Madson, L. (1997). Models of the self: Self-construals and gender. Psychological Bulletin, 122(1), 5-37. https://doi.org/10.1037/0033-2909.122.1.5
Czeisler, M. É., Tynan, M. A., Howard, M. E., Honeycutt, S., Fulmer, E. B., Kidder, D. P., Robbins, R., Barger, L. K., Facer-Childs, E. R., Baldwin, G., Rajaratnam, S. M. W., & Czeisler, C. A. (2020). Public attitudes, behaviors, and beliefs related to COVID-19, stay-at-home orders, nonessential business closures, and public health guidance - United States, New York City, and Los Angeles, May 5-12, 2020. Morbidity and Mortality Weekly Report (MMWR), 69(24), 751-758. https://doi.org/10.15585/mmwr.mm6924e1
De Jesus, M., & Xiao, C. (2014). Predicting health care utilization among Latinos: Health locus of control beliefs or access factors? Health Education & Behavior, 41(4), 423-430. https://doi.org/10.1177/1090198114529130
Debata, B., Patnaik, P., & Mishra, A. (2020). COVID‐19 pandemic! It's impact on people, economy, and environment. Journal of Public Affairs: An International Journal, 20(4):e2372. https://doi.org/10.1002/pa.2372
Dietrich, T., Rundle-Thiele, S., Schuster, L., & Connor, J. (2016). Co-designing social marketing programs. Journal of Social Marketing, 6(1), 41-61. https://doi.org/10.1108/JSOCM-01-2015-0004
Dogan, V. (2019). Why do people experience the fear of missing out (FOMO)? Exposing the link between the self and the FoMO through self-construal. Journal of Cross-Cultural Psychology, 50(4), 524-538. https://doi.org/10.1177/0022022119839145
Elliott, I., & Coker, S. (2008). Independent self‐construal, self‐reflection, and self‐rumination: A path model for predicting happiness. Australian Journal of Psychology, 60(3), 127-134. https://doi.org/10.1080/00049530701447368
Fifita, I. M. E., Smith, S. D., & Fernandez, K. V. (2015). The role of self-construal in resisting tobacco smoking. Australasian Marketing Journal (AMJ), 23(4), 294-302. https://doi.org/10.1016/j.ausmj.2015.10.004
Firestone, R., Rowe, C. J., Modi, S. N., & Sievers, D. (2017). The effectiveness of social marketing in global health: A systematic review. Health Policy and Planning, 32(1), 110-124. https://doi.org/10.1093/heapol/czw088
Fiske, A. P., Kitayama, S., Markus, H. R., & Nisbett, R. E. (1998). The cultural matrix of social psychology. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (pp. 915-981). McGraw-Hill. https://psycnet.apa.org/record/1998-07091-036
Gaber, S., & Abdel-Latif, S. H. (2012). Effect of education and health locus of control on safe use of pesticides: A cross sectional random study. Journal of Occupational Medicine and Toxicology, 7:3. https://doi.org/10.1186/1745-6673-7-3
Gardner, W. L., Gabriel, S., & Lee, A. Y. (1999). "I" value freedom, but "we" value relationships: Self-construal priming mirrors cultural differences in judgment. Psychological Science, 10(4), 321-326. https://doi.org/10.1111/1467-9280.00162
Gillespie, C. (2020). Does wearing a face mask reduce oxygen - and can it increase CO2 levels? And is carbon dioxide toxicity possible from wearing a mask? Health. https://www.health.com/condition/infectious-diseases/coronavirus/does-wearing-face-mask-increase-co2-levels
Goodman, J. K., & Paolacci, G. (2017). Crowdsourcing consumer research. Journal of Consumer Research (JCR), 44(1), 196-210. https://doi.org/10.1093/jcr/ucx047
Gordon, R., McDermott, L., Stead, M., & Angus, K. (2006). The effectiveness of social marketing interventions for health improvement: What's the evidence? Public Health, 120(12), 1133-1139. https://doi.org/10.1016/j.puhe.2006.10.008
Grier, S., & Bryant, C. A. (2005). Social marketing in public health. Annual Review of Public Health, 26, 319-339. https://doi.org/10.1146/annurev.publhealth.26.021304.144610
Guinn, B. (1998). Acculturation and health locus of control among Mexican American adolescents. Hispanic Journal of Behavioral Sciences, 20(4), 492-499. https://doi.org/10.1177/07399863980204006
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press. https://www.guilford.com/books/Introduction-to-Mediation-Moderation-and-Conditional-Process-Analysis/Andrew-Hayes/9781462549030
Hochbaum, G. M. (1958). Public participation in medical screening programs: A socio-psychological study. U.S. Department of Health, Education, and Welfare, Public Health Service, Bureau of State Services, Division of Special Health Services, Tuberculosis Program.
Holm, C. J., Frank, D. I., & Curtin, J. (1999). Health beliefs, health locus of control, and women's mammography behavior. Cancer Nursing, 22(2), 149-156. https://doi.org/10.1097/00002820-199904000-00007
Iacobucci, D. (2010). Structural equations modeling: Fit Indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90-98. https://doi.org/10.1016/j.jcps.2009.09.003
Jacobson, J. A., Ji, L. -J., Ditto, P. H., Zhang, Z., Sorkin, D. H., Warren, S. K., Legnini, V., Ebel-Lam, A., & Roper-Coleman, S. (2012). The effects of culture and self-construal on responses to threatening health information. Psychology & Health, 27(10), 1194-1210. https://doi.org/10.1080/08870446.2011.652963
Janz, N. K., & Becker, M. H. (1984). The Health Belief Model: A decade later. Health Education Quarterly, 11(1), 1-47. https://doi.org/10.1177/109019818401100101
Kong, Y., & Shen, F. (2011). Impact of locus of control on health message effectiveness. Health Marketing Quarterly, 28(4), 354-371. https://doi.org/10.1080/07359683.2011.623114
Kühnen, U., Hannover, B., & Schubert, B. (2001). The semantic–procedural interface model of the self: The role of self-knowledge for context-dependent versus context-independent modes of thinking. Journal of Personality and Social Psychology, 80(3), 397-409. https://doi.org/10.1037/0022-3514.80.3.397
Kurniawan, W., Hudiyana, J., & Muluk, H. (2022). Responses of religion and science to the threats of the COVID-19 pandemic in Indonesia [Respon agama dan sains terhadap ancaman pandemi COVID-19 di Indonesia]. ANIMA Indonesian Psychological Journal, 37(2), 181-201. https://doi.org/10.24123/aipj.v37i2.4913
Lee, A. Y., & Aaker, J. L. (2004). Bringing the frame into focus: The influence of regulatory fit on processing fluency and persuasion. Journal of Personality and Social Psychology, 86(2), 205-218. https://doi.org/10.1037/0022-3514.86.2.205
Lee, H. -M., Hsu, Y. -H., & Chen, T. (2020). The moderating effects of self-referencing and relational-interdependent self-construal in anti-smoking advertising for adolescents. International Journal of Environmental Research and Public Health, 17(22):8481. https://doi.org/10.3390/ijerph17228481
Lefebvre, C. R., & Flora, J. A. (1988). Social marketing and public health intervention. Health Education Quarterly, 15(3), 299-315. https://doi.org/10.1177/109019818801500305
Li, S., Ritter, S. M., Bi, C., Van Baaren, R. B., and Müller, B. C. N. (2019). Does smokers' self-construal moderate the effect of (self-)persuasion on smoking? Health Psychology Bulletin, 3(1), 21-37. https://doi.org/10.5334/hpb.17
Lin, Y. -C., Chang, C. -C. A., & Lin, Y. -F. (2012). Self-construal and regulatory focus influences on persuasion: The moderating role of perceived risk. Journal of Business Research, 65(8), 1152-1159. https://doi.org/10.1016/j.jbusres.2011.08.001
Litman, L., Robinson, J., & Rosenzweig, C. (2015). The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. Behavior Research Methods, 47(2), 519-528. https://doi.org/10.3758/s13428-014-0483-x
Maier, S. F., & Watkins, L. R. (1998). Stressor controllability, anxiety, and serotonin. Cognitive Therapy and Research, 22(6), 595-613. https://doi.org/10.1023/A:1018794104325
Mandel, N. (2003). Shifting selves and decision making: The effects of self-construal priming on consumer risk-taking. Journal of Consumer Research, 30(1), 30-40. https://doi.org/10.1086/374700
Mara, C. A., DeCicco, T. L., & Stroink, M. L. (2010). An investigation of the relationships among self-construal, emotional intelligence, and well-being. International Journal of Transpersonal Studies, 29(1), 1-11. https://psycnet.apa.org/record/2012-09635-002
Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98(2), 224-253. https://doi.org/10.1037/0033-295X.98.2.224
Marshall, G. N. (1991). A multidimensional analysis of internal health locus of control beliefs: Separating the wheat from the chaff? Journal of Personality and Social Psychology, 61(3), 483-491. https://doi.org/10.1037/0022-3514.61.3.483
Mueller, B. (2020). After months of debate, England requires face masks for shoppers. The New York Times. https://www.nytimes.com/2020/07/14/world/europe/uk-coronavirus-masks-mandate.html
Nagy, V. T., & Wolfe, G. R. (1983). Chronic illness and health locus of control beliefs. Journal of Social and Clinical Psychology, 1(1), 58-65. https://doi.org/10.1521/jscp.1983.1.1.58
Natalya, L. (2018). Validation of Academic Motivation Scale: Short Indonesian Language Version. ANIMA Indonesian Psychological Journal, 34(1), 45-53. https://doi.org/10.24123/aipj.v34i1.2025
Natalya, L., & Purwanto, C. V. (2018). Exploratory and confirmatory factor analysis of the Academic Motivation Scale (AMS) - Bahasa Indonesia. Makara Human Behavior Studies in Asia, 22(1), 29-42. https://doi.org/10.7454/hubs.asia.2130118
Neff, K. D., Pisitsungkagarn, K., & Hsieh, Y. -P. (2008). Self-compassion and self-construal in the United States, Thailand, and Taiwan. Journal of Cross-Cultural Psychology, 39(3), 267-285. https://doi.org/10.1177/0022022108314544
Nguyen, H. S., Laufer, D., & Krisjanous, J. (2020). The effectiveness of guilt and shame appeals on health communications: The moderating role of self-construal and personal cultural orientation. Australasian Marketing Journal (AMJ), 28(4), 310-324. https://doi.org/10.1016/j.ausmj.2020.08.002
Podsakoff, P. M., MacKenzie, S. B., Lee, J. -Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
Poon, C. Y. M., & Fung, H. H. (2008). Physical activity and psychological well-being among Hong Kong Chinese older adults: Exploring the moderating role of self-construal. The International Journal of Aging and Human Development, 66(1), 1-19. https://doi.org/10.2190/AG.66.1.a
Reardon, B. (2020). CHA social media campaign encourages public to wear masks. Catholic Health Association of the United States. https://www.chausa.org/newsroom/news-releases/2020/07/23/cha-social-media-campaign-encourages-public-to-wear-masks
Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2(4), 354-386. https://doi.org/10.1177/109019817400200405
Rothschild, M. L. (1999). Carrots, sticks, and promises: A conceptual framework for the management of public health and social issue behaviors. Journal of Marketing, 63(4), 24-37. https://doi.org/10.1177/002224299906300404
Sampogna, G., Bakolis, I., Evans-Lacko, S., Robinson, E., Thornicroft, G., & Henderson, C. (2017). The impact of social marketing campaigns on reducing mental health stigma: Results from the 2009-2014 Time to Change programme. European Psychiatry, 40, 116-122. https://doi.org/10.1016/j.eurpsy.2016.08.008
Sar, S., & Anghelcev, G. (2013). Perceived risk mediates the impact of mood on the effectiveness of health PSAs: Implications for public health marketing. Journal of Social Marketing, 3(1), 78-101. https://doi.org/10.1108/20426761311297243
Shams, M. (2018). Social marketing for health: Theoretical and conceptual considerations. In M. Haider, H. N. Platter, & B. Higginbotham (Eds.), Selected issues in global health communications (pp. 43-56). IntechOpen. https://doi.org/10.5772/intechopen.76509
Sheeran, P., and Abraham, C. (1996). The health belief model. In M. Conner, & P. Norman (Eds.), Predicting health behaviour: Research and practice with social cognition models (1st ed.) (pp. 29-80). Open University Press. https://psycnet.apa.org/record/1996-97268-002
Sherman, D. K., Uskul, A. K., & Updegraff, J. A. (2011). The role of the self in responses to health communications: A cultural perspective. Self and Identity, 10(3), 284-294. https://doi.org/10.1080/15298868.2010.517029
Singelis, T. M. (1994). The measurement of independent and interdependent self-construals. Personality and Social Psychology Bulletin, 20(5), 580-591. https://doi.org/10.1177/0146167294205014
Steptoe, A., & Wardle, J. (2001). Locus of control and health behaviour revisited: A multivariate analysis of young adults from 18 countries. British Journal of Psychology, 92(4), 659-672. https://doi.org/10.1348/000712601162400
Stretcher, V. J., & Rosenstock I. M. (1997). The health belief model. In K. Glanz, F. M. Lewis, & B. K. Rimer (Eds.), Health behavior and health education: Theory, research, and practice. Jossey-Bass.
Suwartono, C., & Bintamur, D. (2019). Validation of the Emotion Regulation Questionnaire (ERQ): Network analysis as an alternative of confirmatory factor analysis (CFA). ANIMA Indonesian Psychological Journal, 34(3), 115-124. https://doi.org/10.24123/aipj.v34i3.2300
Trafimow, D., Triandis, H. C., & Goto, S. G. (1991). Some tests of the distinction between the private self and the collective self. Journal of Personality and Social Psychology, 60(5), 649-655. https://doi.org/10.1037/0022-3514.60.5.649
Turner, L., & Sizer, F. (1992). Life choices: Health concepts and strategies. West Group.
Uskul, A. K., & Oyserman, D. (2010). When message-frame fits salient cultural-frame, messages feel more persuasive. Psychology and Health, 25(3), 321-337. https://doi.org/10.1080/08870440902759156
Van Kessel, P., & Quinn, D. (2020). Both Republicans and Democrats cite masks as a negative effect of COVID-19, but for very different reasons. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/10/29/both-republicans-and-democrats-cite-masks-as-a-negative-effect-of-covid-19-but-for-very-different-reasons/
Van Rooy, D. L., Alonso, A., & Viswesvaran, C. (2005). Group differences in emotional intelligence scores: Theoretical and practical implications. Personality and Individual Differences, 38(3), 689-700. https://doi.org/10.1016/j.paid.2004.05.023
Varnum, M. E. W., Shi, Z., Chen, A., Qiu, J., & Han, S., (2014). When "your" reward is the same as "my" reward: Self-construal priming shifts neural responses to own vs. friends' rewards. NeuroImage, 87, 164-169. https://doi.org/10.1016/j.neuroimage.2013.10.042
Wallston, B. S., Wallston, K. A., Kaplan, G. D., & Maides, S. A. (1976). Development and validation of the Health Locus of Control (HLC) scale. Journal of Consulting and Clinical Psychology, 44(4), 580-585. https://doi.org/10.1037/0022-006X.44.4.580
Wallston, K. A., & Wallston, B. S. (1982). Who is responsible for your health? The construct of health locus of control. In G. S. Sanders, & J. Suls (Eds.), Social psychology of health and illness (1st ed.) (pp. 65-95). Psychology Press. https://doi.org/10.4324/9780203762967
Weinstein, N. D. (2000). Perceived probability, perceived severity, and health-protective behavior. Health Psychology, 19(1), 65-74. https://doi.org/10.1037/0278-6133.19.1.65
World Health Organization (WHO). (2021). Coronavirus disease (COVID-19) advice for the public: When and how to use masks. World Health Organization. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/when-and-how-to-use-masks
Yamaguchi, A., Kim, M. -S., & Akutsu, S. (2014). The effects of self-construals, self-criticism, and self-compassion on depressive symptoms. Personality and Individual Differences, 68, 65-70. https://doi.org/10.1016/j.paid.2014.03.013
Yamanis, T. (2020). Clear, consistent health messaging critical to stemming epidemics and limiting coronavirus deaths. The Conversation. https://theconversation.com/clear-consistent-health-messaging-critical-to-stemming-epidemics-and-limiting-coronavirus-deaths-134529
Yang, B., Nan, X., & Zhao, X. (2017). Persuasiveness of anti-smoking messages: Self-construal and message focus. Health Education, 117(4), 398-413. https://doi.org/10.1108/HE-12-2016-0064
Yu, N., & Shen, F. (2013). Benefits for me or risks for others: A cross-culture investigation of the effects of message frames and cultural appeals. Health Communication, 28(2), 133-145. https://doi.org/10.1080/10410236.2012.662147
Zhao, P., Yoo, I., Lavoie, J., Lavoie, B. J., & Simoes, E. (2017). Web-based medical appointment systems: A systematic review. Journal of Medical Internet Research, 19:e134. https://doi.org/10.2196/jmir.6747
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