How to Reduce the Latent Social Risk of Disease: The Determinants of Vaccination against Rabies in Taiwan
Abstract
:1. Introduction
2. Literature Review
2.1. Behavior for Vaccination against Rabies
2.2. Theories for Understanding Behavior of Vaccination against Rabies
- H1: Attitude (A) toward the vaccination of rabies positively affects behavioral intention (BI).
- H2: Subjective norms (SN) about the vaccination of rabies positively affect BI.
- H3: Perceived behavioral control (PBC) over vaccination positively affects BI.
- H3b: the PBC effect is greater than the attitude effect.
2.3. The Knowledge Effect on Attitude and Perceived Behavioral Control
- H4: Objective knowledge (OK) about rabies positively affects attitude about rabies prevention.
- H5: Objective knowledge (OK) about rabies positively affects perceived behavioral control (PBC) about rabies prevention.
- H6a: Subjective knowledge (SK) about rabies positively affects PBC about rabies prevention.
- H6b: the SK effect is greater than the OK effect.
3. Materials and Methods
3.1. Questionnaire
3.2. Pre-Testing and Sampling
4. Results
4.1. The Measurement Model
A | SN | PBC | BI | OK | SK | |
---|---|---|---|---|---|---|
M | 4.44 | 4.14 | 4.48 | 4.25 | 6.6 | 3.20 |
SD | 0.72 | 0.79 | 0.82 | 0.93 | 1.23 | 1.21 |
Cronbach’s α | AVE | CR | |
---|---|---|---|
A | 0.903 | 0.764 | 0.906 |
SN | 0.839 | 0.639 | 0.841 |
PBC | 0.940 | 0.843 | 0.942 |
BI | 0.884 | 0.678 | 0.862 |
SK | 0.945 | 0.802 | 0.942 |
A | SN | PBC | BI | SK | |
---|---|---|---|---|---|
A | 0.764 | ||||
SN | 0.462 | 0.639 | |||
PBC | 0.397 | 0.303 | 0.843 | ||
BI | 0.410 | 0.372 | 0.410 | 0.678 | |
SK | 0.107 | 0.168 | 0.124 | 0.104 | 0.802 |
4.2. The Structural Model
Index | Criteria | Result |
---|---|---|
χ2/df | <5 | 1.64 |
GFI | >0.9 | 0.94 |
AGFI | >0.8 | 0.91 |
NFI | >0.9 | 0.98 |
NNFI | >0.9 | 0.99 |
CFI | >0.9 | 0.99 |
IFI | >0.9 | 0.99 |
RFI | >0.9 | 0.98 |
PNFI | >0.5 | 0.77 |
PGFI | >0.5 | 0.65 |
RMSEA | <0.08 | 0.046 |
RMR | <0.05 | 0.042 |
SRMR | <0.05 | 0.032 |
5. Conclusions
6. Discussion and Suggestions
Author Contributions
Conflicts of Interest
References
- Centers for Disease Control, R.O.C. Introduction for Rabies. Available online: http://www.cdc.gov.tw/diseaseinfo.aspx?treeid=8d54c504e820735b&nowtreeid=dec84a2f0c6fac5b&tid=9D2E1B3A862F06FB (accessed on 30 July 2013).
- World Health Organization. WHO Technical Report Series, 931. Available online: http://apps.who.int/iris/bitstream/10665/43262/1/WHO_TRS_931_eng.pdf (accessed on 30 July 2013).
- National Health and Family Planning Commission of the People’s Republic of China. Epidemic Report, 2012. Available online: http://www.moh.gov.cn/zhuzhan/yqxx/201304/b540269c8e5141e6bb2d00ca539bb9f7.shtml (accessed on 30 July 2013).
- Department of Health, Taipei City Government. The Rabies Report of Taipei 2013. Available online: http://www.zhongshan-healthycity-taipei.org.tw/L/1020809%E8%87%BA%E5%8C%97%E5%B8%82%E7%8B%82%E7%8A%AC%E7%97%85%E7%96%AB%E6%83%85%E6%87%89%E8%AE%8A%E6%96%B0%E8%81%9E%E7%A8%BF.pdf (accessed on 30 March 2014).
- Kaohsiung City Animal Protection Office. The Protection Strategy of Babies in Kaohsiung. Available online: http://research.kcg.gov.tw/upload/RelFile/ResearchOld/OldFile/file_b1071dcb 641.pdf (accessed on 30 March 2014).
- Gallagher, S.; Povey, R. Determinants of older adults’ intentions to vaccinate against influenza: A theoretical application. J. Public Health 2006, 28, 139–144. [Google Scholar] [CrossRef]
- Gefen, D.; Straub, D.W.; Bouftrau, M.C. Structural equation modeling and regression: Guidelines for research practice. CAIS 2000, 4, 1–70. [Google Scholar]
- Brucks, M. The effects of product class knowledge on information search behavior. JCR 1985, 12, 1–16. [Google Scholar]
- Park, C.W.; Gardner, M.P.; Thukral, V.K. Self-perceived knowledge: Some effects on information processing for a choice task. Am. J. Psychol. 1988, 101, 401–424. [Google Scholar] [CrossRef]
- Ajzen, I.; Joyce, N.; Sheikh, S.; Gilbert, C.N. Knowledge and the prediction of behavior: The role of information accuracy in the theory of planned behavior. Basic Appl. Soc. Psychol. 2011, 33, 101–117. [Google Scholar]
- Kasl, S.V.; Cobb, S. Health behavior, illness behavior and sick role behavior. Arch. Environ. Health 1966, 12, 246–266. [Google Scholar] [CrossRef]
- Orgden, J. Health Psychology: A Textbook; McGraw-Hill: London, UK, 2012; pp. 1–34. [Google Scholar]
- Stroebe, W. Social Psychology and Health, 3rd ed.; McGraw-Hill: London, UK, 2011; pp. 12–63. [Google Scholar]
- Ahmed, F.; Friedman, C.; Franks, A.; Latts, L.M.; Nugent, E.W.; France, E.K.; Stange, P.; Ndiaye, S. Effect of frequency of delivery of reminders and an influenza tool kit on increasing influenza vaccination rates among adults with high-risk condition. Am. J. Manag. Care 2004, 10, 698–702. [Google Scholar]
- John, B.F.; Vet, R.; Schutten, M.; Steenbergen, J. Social-cognitive determinants of vaccination behavior against hepatitis B: An assessment among men who have sex with men. Prev. Med. 2005, 40, 795–802. [Google Scholar] [CrossRef]
- Kafaar, Z.; Kagee, A.; Lesch, A.; Swartz, L. Is participation in HIV vaccine trials a health promoting behavior? AIDS Care 2007, 19, 1307–1309. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Processes 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Ajzen, I.; Driver, B.L. Application of the theory of planned behavior to leisure choice. J. Leis. Res. 1992, 24, 207–224. [Google Scholar]
- Reid, M.; Wood, A. An investigation into blood donation intentions among non-donors. Int. J. Nonprofit Volunt. Sect. Mark. 2008, 13, 31–43. [Google Scholar] [CrossRef]
- White, K.M.; Thomas, I.; Johnson, K.L.; Hyde, M.K. Predicting attendance at peer-assisted study sessions for statistics: Role identity and the theory of planned behavior. J. Soc. Psychol. 2008, 148, 473–491. [Google Scholar] [CrossRef]
- Ajzen, I.; Fishbein, M. Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychol. Bull. 1977, 84, 888–918. [Google Scholar] [CrossRef]
- Cronan, T.P.; Al-Rafee, S. Factors that influence the intention to pirate software and media. J. Bus. Ethics 2008, 78, 527–545. [Google Scholar] [CrossRef]
- Ajzen, I.; Timko, C.; White, J.B. Self-monitoring and the attitude-behavior relation. J. Pers. Soc. Psychol. 1982, 42, 426–435. [Google Scholar] [CrossRef]
- Bentler, P.M.; Speckart, G. Models of attitude-behavior relations. Psychol. Rev. 1979, 86, 452–464. [Google Scholar] [CrossRef]
- Bentler, P.M.; Speckart, G. Attitudes “cause” behavior: A structural equation analysis. J. Pers. Soc. Psychol. 1981, 40, 226–238. [Google Scholar] [CrossRef]
- Fredricks, A.J.; Dosserr, D.L. Attitude-behavior relations: A comparison of the Fishbein-Ajzen and the Bentler-Speckart models. J. Pers. Soc. Psychol. 1983, 45, 501–512. [Google Scholar] [CrossRef]
- Manstead, A.S.R.; Proffitt, C.; Smart, J.I. Predicting and understanding mothers’ infant-feeding intentions and behavior: Testing the theory of reasoned action. J. Pers. Soc. Psychol. 1983, 44, 657–671. [Google Scholar] [CrossRef]
- Smetana, J.G.; Adler, N.E. Fishbein’s value expectancy model: An examination of some assumptions. Pers. Soc. Psychol. Bull. 1980, 6, 89–96. [Google Scholar] [CrossRef]
- Ajzen, I. From Intentions to Actions: A Theory of Planned Behavior; Springer: Heidelberg, Germany, 1985; pp. 11–39. [Google Scholar]
- Ajzen, I.; Madden, T.J. Prediction of goal directed behavior: Attitudes, intentions, and perceived behavioral control. J. Exp. Soc. Psychol. 1986, 22, 453–474. [Google Scholar] [CrossRef]
- Ajzen, I.; Driver, B.L. Contingent value measurement: On the nature and Meaning of willingness to pay. J. Consum. Psychol. 1992, 1, 297–316. [Google Scholar] [CrossRef]
- Fisher, J.D.; Fisher, W.A. Theoretical Approaches to Individual-Level Change in HIV Risk Behavior; Kluwer Academic/Plenum Publishers: New York, NY, USA, 2000; pp. 3–55. [Google Scholar]
- Rossenstock, I.M.; Stecher, V.J.; Becker, M.H. Social learning theory and the health belief model. Health Educ. Q. 1988, 15, 175–183. [Google Scholar] [CrossRef]
- Ajzen, I. Nature and operation of attitudes. Annu. Rev. Psychol. 2001, 52, 27–58. [Google Scholar] [CrossRef]
- Ajzen, I. Attitudes, Personality and Behavior; McGraw-Hill: London, UK, 2005; pp. 107–112. [Google Scholar]
- Ajzen, I. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J. Appl. Soc. Psychol. 2002, 32, 665–683. [Google Scholar] [CrossRef]
- Ajzen, I. Laws of Human Behavior: Symmetry, Compatibility, and Attitude-Behavior Correspondence; Shaker Verlag: Aachen, Germany, 2005; pp. 3–19. [Google Scholar]
- Ajzen, I. Consumer Attitudes and Behavior; Lawrence Erlbaum Associates: New York, NY, USA, 2008; pp. 525–548. [Google Scholar]
- Armitage, C.J.; Conner, M. Efficacy of the theory of planned behavior: A meta-analytic review. Br. J. Soc. Psychol. 2001, 40, 471–499. [Google Scholar] [CrossRef]
- Hofmann, E.; Hoelzl, E.; Kirchler, E. A comparison of models describing the impact of moral decision making on investment decisions. J. Bus. Ethics 2008, 82, 171–187. [Google Scholar] [CrossRef]
- Schifter, D.E.; Ajzen, I. Intention, perceived control, and weight loss: An application of the theory of planned behavior. J. Pers. Soc. Psychol. 1985, 49, 843–851. [Google Scholar] [CrossRef]
- Bamberg, S.; Schmidt, P. Incentive, morality or habit? Predicting students’ car use for university routes with the models of Ajzen, Schwartz, and Triandis. Environ. Behav. 2003, 35, 1–22. [Google Scholar]
- Bobek, D.; Hatfeld, R. An investigation of the theory of planned behavior and the role of moral obligation in tax compliance. Behav. Res. Account. 2003, 15, 13–38. [Google Scholar] [CrossRef]
- Marcoux, B.C.; Shope, J.T. Application of the theory of planned behavior to adolescent use and misuse of alcohol. Health Educ. Res. 1997, 12, 323–331. [Google Scholar] [CrossRef]
- Carvajal, S.C.; Photiades, J.R.; Evans, R.I.; Nash, S.G. Relating a social influence model to the role of acculturation in substance use among latino adolescents. J. Appl. Soc. Psychol. 1997, 27, 1617–1628. [Google Scholar] [CrossRef]
- Hanson, M.J.S. The theory of planned behavior applied to cigarette smoking in African-American, Puerto Rican, and non-Hispanic white teenage females. Nurs. Res. 1997, 46, 155–162. [Google Scholar] [CrossRef]
- Hill, A.J.; Boudreau, F.; Amyot, E.; Dery, D.; Godin, G. Predicting the stages of smoking acquisition according to the theory of planned behavior. J. Adolesc. Health 1997, 21, 107–115. [Google Scholar] [CrossRef]
- Spijkerman, R.; van den Eijnden, R.J.J.M.; Vitale, S.; Engels, R.C.M.E. Explaining adolescents’ smoking and drinking behavior: The concept of smoker and drinker prototypes in relation to variables of the theory of planned behavior. Addict. Behav. 2004, 29, 1615–1622. [Google Scholar] [CrossRef]
- Hu, S.C.; Lanese, R.R. The applicability of the theory of planned behavior to the intention to quit smoking across workplaces in southern Taiwan. Addict. Behav. 1998, 23, 225–237. [Google Scholar] [CrossRef]
- Kuther, T.L. Rational decision perspectives on alcohol consumption by youth: Revising the theory of planned behavior. Addict. Behav. 2002, 27, 35–47. [Google Scholar] [CrossRef]
- Norman, P.; Conner, M. Predicting health-check attendance among prior attenders and non-attenders: The role of prior behavior in the theory of planned behavior. J. Appl. Soc. Psychol. 1996, 26, 1010–1026. [Google Scholar] [CrossRef]
- Orbell, S.; Hagger, M. “When no means no”: Can reactance augment the theory of planned behavior? Health Psychol. 2006, 25, 586–594. [Google Scholar] [CrossRef]
- Drossaert, C.H.C.; Boer, H.; Seydel, E.R. Women’s opinions about attending for breast cancer screening: Stability of cognitive determinants during three rounds of screening. Br. J. Health Psychol. 2005, 10, 133–149. [Google Scholar] [CrossRef]
- Sheeran, P.; Abraham, C. Mediator of moderators: Temporal stability of intention and the intention-behavior relation. Pers. Soc. Psychol. Bull. 2003, 29, 205–215. [Google Scholar] [CrossRef]
- Ajzen, I. Attitude and Persuation. In The Oxford Hand Book of Personality and Social Psychology; Oxford University Press: New York, NY, USA, 2012; pp. 367–393. [Google Scholar]
- Hung, K.P.; Chen, A.; Peng, N. Taking dogs to tourism activities: Incorporating attachment into a pet-related constraint-negotiation model. J. Hosp. Tourism 2013, 10. [Google Scholar] [CrossRef]
- Conant, R.C. A Vector Theory of Information. In Communication Yearbook 3; Transaction Books: New Brunswick, NJ, Canada, 1979; pp. 177–194. [Google Scholar]
- Heath, R.L.; Abel, D.D. Types of knowledge as predictors of company support: The role of information in risk communication. J Pub. Rel. Res. 1996, 8, 35–55. [Google Scholar]
- Joseph, W.A.; Hutchinson, J.W. Dimensions of consumer expertise. JCR 1987, 13, 411–454. [Google Scholar]
- Folkman, S. Personal control and stress and coping processes: A theoretical analysis. J. Pers. Soc. Psychol. 1984, 46, 839–852. [Google Scholar] [CrossRef]
- Metcalfe, J. Feeling of knowing in memory and problem solving. J. Exp. Psychol. 1986, 12, 288–294. [Google Scholar]
- Schacter, D.L. Feeling of knowing in episodic memory. J. Exp. Psychol. 1983, 9, 39–54. [Google Scholar]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Hsu, M.H.; Chiu, C.M. Internet self-efficacy and electronic service acceptance. Decis. Support Syst. 2004, 38, 369–381. [Google Scholar] [CrossRef]
- Pelsmacker, P.D.; Janssens, W. The effect of norms, attitudes and habits on speeding behavior: Scale development and model building and estimation. Accid. Anal. Prev. 2007, 39, 6–15. [Google Scholar] [CrossRef]
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Lee, K.-Y.; Lan, L.-C.; Wang, J.-H.; Fang, C.-L.; Shiao, K.-S. How to Reduce the Latent Social Risk of Disease: The Determinants of Vaccination against Rabies in Taiwan. Int. J. Environ. Res. Public Health 2014, 11, 5934-5950. https://doi.org/10.3390/ijerph110605934
Lee K-Y, Lan L-C, Wang J-H, Fang C-L, Shiao K-S. How to Reduce the Latent Social Risk of Disease: The Determinants of Vaccination against Rabies in Taiwan. International Journal of Environmental Research and Public Health. 2014; 11(6):5934-5950. https://doi.org/10.3390/ijerph110605934
Chicago/Turabian StyleLee, Ku-Yuan, Li-Chi Lan, Jiun-Hao Wang, Chen-Ling Fang, and Kun-Sun Shiao. 2014. "How to Reduce the Latent Social Risk of Disease: The Determinants of Vaccination against Rabies in Taiwan" International Journal of Environmental Research and Public Health 11, no. 6: 5934-5950. https://doi.org/10.3390/ijerph110605934