Emerging Adults’ Barriers, Consideration, and Intention to do Thalassemia Screening Test as Preventive Health Behavior
The number of thalassemia patients in Indonesia is predicted to rise every year. This genetic disease could cause psychological impact and large expenses for patients, families, caretakers, and the government. This study aimed to analyze the correlation between perceived barriers (PB) and consideration of future consequences (CFC), and also their interaction with behavioral intention (BI) to undergo a thalassemia screening as part of preventive health behavior (PHB). Participants were 411 young adults, aged 18 to 25 years old (M = 20.47). The measurements used in the study were adapted versions of PHB Scale, the CFC-14 Scale, and BI Scale. Main results from PROCESS regression analysis showed, (1) a negative and significant influence from the PB to BI (b1 = -0.0089; p < 0.05), (2) CFC had insignificant influence toward BI (b2 = 0.0096; p > 0.05), (3) the interactions of PB and CFC had insignificant influence toward BI (b3 = -0.0005; p > 0.05). Self-efficacy, as controlled variable, had significant correlation with BI and became strong predictor toward the intention to enact PHB. This study concluded that barriers remain as dominant factor that determines someone's PHB. The more elaborate patient's knowledge, the more they see barriers as challenges, therefore the higher their efficacy to enact PHB.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. doi: 10.1037/0033-295X.84.2.191
Bandura, A., Freeman, W. H., & Lightsey, R. (1999). Self-efficacy: The exercise of control. Journal of Cognitive Psychotherapy, 13(2), 158-166. doi: 10.1891/0889-83184.108.40.206
Baranowski, T., Cullen, K. W., Nicklas, T., Thompson, D., & Baranowski, J. (2003). Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obesity Research, 11(S10), 23S-43S. doi: 10.1038/oby.2003.222
Braithwaite, S. R., Delevi, R., & Fincham, F. D. (2010). Romantic relationships and the physical and mental health of college students. Personal Relationships, 17(1), 1-12. doi: 10.1111/j.1475-6811.2010.01248.x
Carpenter, C. J. (2010). A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Communication, 25(8), 661-669. doi: 10.1080/10410236.2010.521906
Champion, V. L. (1999). Revised susceptibility, benefits, and barriers scale for mammography screening. Research in Nursing and Health, 22(4), 341-348. doi: 10.1002/(SICI)1098-240X(199908)22:4<341::AID-NUR8>3.0.CO;2-P
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 (p. 45-65). San Francisco, CA: Jossey-Bass.
Cole, G. E., Holtgrave, D. R., & Ríos, N. M. (2016). Internal and external factors that encourage or discourage health-relevant behaviors. Retrieved from https://www.orau.gov/cdcynergy/soc2web/Content/activeinformation/resources/Health_Behavior_Factors.pdf
Conner, M., & Norman, P. (2015). Predicting and changing health behavior: Research and
practice with social cognition models (3rd ed.). New York, NY: McGraw-Hill.
Demarque, C., Apostolidis, T., & Joule, R. V. (2013). Consideration of future consequences and pro-environmental decision making in the context of persuasion and binding commitment. Journal of Environmental Psychology, 36, 214-220. doi: 10.1016/j.jenvp.2013.07.019
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. doi: 10.3758/BF03193146
Fitzpatrick, S. L. (2011). Health knowledge & health behavior outcomes in adolescents with elevated blood pressure. ProQuest Dissertations and Theses, 97. Retrieved from http://search.proquest.com.ezproxy.library.yorku.ca/docview/887719226?accountid=15182%5Cnhttp://sfx.scholarsportal.info/york?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&genre=dissertations+&+theses&sid=ProQ:ProQuest+Dissertations+&+T
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). New York, NY: Guilford Press.
Hill, R. J., Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention and behavior: An introduction to theory and research. Contemporary Sociology, 6(2), 244-245. doi: 10.2307/2065853
Hubbard, G., Kyle, R. G., Neal, R. D., Marmara, V., Wang, Z., & Dombrowski, S. U. (2018). Promoting sunscreen use and skin self-examination to improve early detection and prevent skin cancer: Quasi-experimental trial of an adolescent psycho-educational intervention. BMC Public Health, 18, 666. doi: 10.1186/s12889-018-5570-y
Jacobson, M., & Madsen, H. (2016). Perceived barriers to preventive screenings by individuals 18 years and older with health insurance [MSN, Clarion and Edinboro Universities]. Retrieved from https://search.proquest.com/openview/fdaadac75a6a5856a7a2cf1c71e768ca/1?pq-origsite=gscholar&cbl=18750&diss=y
Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education & Behavior, 11(1), 1-47. doi: 10.1177/109019818401100101
Joireman, J., Shaffer, M. J., Balliet, D., & Strathman, A. (2012). Promotion orientation explains why future-oriented people exercise and eat healthy: Evidence from the two-factor Consideration of Future Consequences-14 Scale. Personality and Social Psychology Bulletin, 38(10), 1272-1287. doi: 10.1177/0146167212449362
Julinawati, S., Cawley, D., Domegan, C., Brenner, M., & Rowan, N. J. (2013). A review of the perceived barriers within the health belief model on Pap smear screening as a cervical cancer prevention measure. Journal of Asian Scientific Research, 3(6), 677-692.
Karimzaei, T., Masoudi, Q., Shahrakipour, M., Navidiyan, A., Jamalzae, A. A. l. Q., & Zoraqi Bamri, A. (2015). Knowledge, attitude and practice of carrier thalassemia marriage volunteer in prevention of major thalassemia. Global Journal of Health Science, 7(5), 364-370. doi: 10.5539/gjhs.v7n5p364
Kasl, S. V., & Cobb, S. (1966). Health behavior, illness behavior, and sick role behavior. I. Health and illness behavior. Archives of Environmental Health, 12(2), 246–266. doi: 10.1080/00039896.1966.10664365
Kees, J. (2010). Temporal framing in health advertising: The role of risk and future orientation. Journal of Current Issues and Research in Advertising, 32(1), 33-46. doi: 10.1080/10641734.2010.10505273
Kees, J., Burton, S., & Tangari, A. H. (2010). The impact of regulatory focus, temporal orientation, and fit on consumer responses to health-related advertising. Journal of Advertising, 39(1), 19-34. doi: 10.2753/JOA0091-3367390102
Kementerian Kesehatan Republik Indonesia. (2017). Pedoman pengendalian penyakit thalassemia di fasilitas kesehatan tingkat pertama. Jakarta: Kementerian Kesehatan Republik Indonesia.
Keşkek, Ş. Ö., Kırım, S., Turhan, A., & Turhan, F. G. (2013). Depression in subjects with beta-thalassemia minor. Annals of Hematology,92, 1611-1615. doi: 10.1007/s00277-013-1851-9
Kim, J., & Nan, X. (2016). Effects of consideration of future consequences and temporal framing on acceptance of the HPV vaccine among young adults. Health Communication, 31(9), 1089-1096. doi: 10.1080/10410236.2015.1038774
Kirscht, J. P. (1983). Preventive health behavior: A review of research and issues. Health Psychology, 2(3), 277-301. doi: 10.1037/0278-6220.127.116.117
Kovač, V. B., & Rise, J. (2007). The relation between past behavior, intention, planning, and quitting smoking: The moderating effect of future orientation. Journal of Applied Biobehavioral Research, 12(2), 82-100. doi: 10.1111/j.1751-9861.2007.00015.x
McKay, M. T., Dempster, M., & Mello, Z. (2015). Does consideration of future consequences moderate the relationship between aggression and alcohol use in adolescents? Results from the United Kingdom. Addiction Research & Theory, 23(5), 372-379. doi: 10.3109/16066359.2015.1009830
Moussavi, S., Chatterji, S., Verdes, E., Tandon, A., Patel, V., & Ustun, B. (2007). Depression, chronic diseases, and decrements in health: Results from the World Health Surveys. Lancet, 370(9590), 851-858. doi: 10.1016/S0140-6736(07)61415-9
Murphy, L., & Dockray, S. (2018). The consideration of future consequences and health behaviour: A meta-analysis. Health Psychology Review, 12(4), 357–381. doi: 10.1080/17437199.2018.1489298
Nunnaly, J. C., & Bernstein, I. H. (1994). Psychometry theory (3rd ed.). New York, NY: McGraw-Hil.
Orbell, S., & Hagger, M. (2006). Temporal framing and the decision to take part in type 2 diabetes screening: Effects of individual differences in consideration of future consequences on persuasion. Health Psychology, 25(4), 537-548. doi: 10.1037/0278-618.104.22.1687
Orbell, S., Perugini, M., & Rakow, T. (2004). Individual differences in sensitivity to health communications: Consideration of future consequences. Health Psychology, 23(4), 388-396. doi: 10.1037/0278-622.214.171.1248
Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an effective health interventions design: An extension of the health belief model. Public Health Informatics, 4(3), 1-31. doi: 10.5210/ojphi.v4i3.4321
Pradono, J., & Sulistyowati, N. (2014). Hubungan antara tingkat pendidikan, pengetahuan tentang kesehatan lingkungan, perilaku hidup sehat dengan status kesehatan studi korelasi pada penduduk umur 10 – 24 tahun di Jakarta Pusat. Buletin Penelitian Sistem Kesehatan, 17(1), 89–95. Retrieved from https://media.neliti.com/media/publications/20885-ID-correlation-between-education-level-knowledge-of-environmental-health-healthy-be.pdf
Rathod, D. A., Kaur, A., Patel, V., Patel, K., Kabrawala, R., Patel, V., Patel, M., & Shah, P. (2007). Usefulness of cell counter-based parameters and formulas in detection of β-thalassemia trait in areas of high prevalence. American Journal of Clinical Pathology, 128(4), 585–589. doi: 10.1309/R1YL4B4BT2WCQDGV
Rhodes, R. E., & Rebar, A. L. (2017). Conceptualizing and defining the intention construct for future physical activity research. Exercise and Sport Sciences Reviews, 45(4), 209–216. doi: 10.1249/JES.0000000000000127
Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2(4), 328–335. doi: 10.1177/109019817400200403
Strathman, A., Gleicher, F., Boninger, D. S., & Edwards, C. S. (1994). The consideration of future consequences. Journal of Personality and Social Psychology, 66(4), 742–752. doi: 10.1037/0022-35126.96.36.1992
Tahmasebi, R., Noroozi, A., & Dashdebi, K. G. (2016). Psychometric evaluation of the Colorectal Cancer Screening Belief Scale based on health belief model’s constructs for the fecal occult blood test. Asian Pacific Journal of Cancer Prevention, 17(1), 225-229. doi: 10.7314/APJCP.2016.17.1.225
van Beek, J., Antonides, G., & Handgraaf, M. J. J. (2013). Eat now, exercise later: The relation between consideration of immediate and future consequences and healthy behavior. Personality and Individual Differences, 54(6), 785-791. doi: 10.1016/j.paid.2012.12.015
Waheed, F., Fisher, C., Awofeso, A. N., & Stanley, D. (2016). Carrier screening for beta-thalassemia in the Maldives: Perceptions of parents of affected children who did not take part in screening and its consequences. Journal of Community Genetics, 7, 243-253. doi: 10.1007/s12687-016-0273-5
Wanous, J. P., Reichers, A. E., & Hudy, M. J. (1997). Overall job satisfaction: How good are single-item measures? Journal of Applied Psychology, 82(2), 247-252. doi: 10.1037/0021-9010.82.2.247
Widayanti, C. G., Ediati, A., Tamam, M., Faradz, S. M. H., Sistermans, E. A., & Plass, A. M. C. (2011). Feasibility of preconception screening for thalassemia in Indonesia: Exploring the opinion of Javanese mothers. Ethnicity and Health, 16(4-5), 483-499. doi: 10.1080/13557858.2011.564607
World Health Organization (WHO). (2018). International Classification of Diseases 11th Revision (ICD-11). Retrieved from https://www.who.int/classifications/icd/en/
Yazdanpanah, M., Forouzani, M., & Hojjati, M. (2015). Willingness of Iranian young adults to eat organic foods: Application of the Health Belief Model. Food Quality and Preference, 41, 75–83. doi: 10.1016/j.foodqual.2014.11.012
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