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Kim and Sung: Factors Influencing HPV-related Infection Preventive Behavioral Intention among Female University Students
Original Article

Korean J Women Health Nurs 2017;23(2):126-134.

Published online: 17 June 2017

DOI: https://doi.org/10.4069/kjwhn.2017.23.2.126

Factors Influencing HPV-related Infection Preventive Behavioral Intention among Female University Students

Sun Hwa Kim1, Mi-Hae Sung2,

1Hannah Women's Hospital, Busan, Korea

2Department of Nursing, College of Medicine, Inje University, Busan, Korea

Corresponding author: Sung, Mi-Hae Department of Nursing, College of Medicine, Inje University, 75 Bokji-ro, Busanjin-gu, Busan 47392, Korea. Tel: +82-51-890-6825, Fax: +82-51-896-9840, E-mail: nursmh@inje.ac.kr

Received 31 March 20176 June 2017       Accepted 14 June 2017

Copyright © 2017 Korean Society of Women Health Nursing

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

The purpose of this study was to identify impacts of HPV-related knowledge, attitude to HPV vaccination, and health beliefs on infection preventive behavioral intention targeting female university students.

Methods

With correlational survey design, subjects of this study were 120 female students at universities located in B metropolitan city and G city. A total sample agreed to participate in the study. Data were analyzed using descriptive statistics, t-test, ANOVA, correlation, and stepwise multiple regression.

Results

Attitude to HPV vaccination, experience of smoking, and HPV-related health beliefs were significant factors influencing the HPV-related infection preventive behavioral intention. These factors accounted for 19.0% of the HPV-related infection preventive behavioral intention.

Conclusion

The most significant factor for HPV infection prevention was the attitude to HPV vaccination. These findings may be useful to develop strategies to improve the HPV infection preventive behavioral intention of the female university students who have a high risk of the HPV infection.

Keywords: Vaccination, Cervical cancer, Knowledge, Attitude, Intention

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Table 1.
Differences in HPV Infection Preventive Behavioral Intention by Subjects' Characteristics (N=120)
Characteristics Categories n (%) or M±SD M±SD t or F p
Age (yr) 20~21 47 (39.2) 2.37±0.37 0.32 .726
22 50 (41.7) 2.43±0.39    
23 23 (19.2) 2.42±0.46    
  21.9±1.4      
Grade ≥2 46 (38.3) 2.35±0.40 0.75 .475
3 62 (51.7) 2.44±0.37    
4 12 (10.0) 2.46±0.50    
Major Health-related 66 (55.0) 2.47±0.37 2.07 .041
Health-unrelated 54 (45.0) 2.32±0.41    
Experience of smoking No 99 (82.5) 2.45±0.38 -2.53 .013
Yes 21 (17.5) 2.21±0.41    
Alcohol intake experience No 6 (5.0) 2.52±0.35 -0.75 .455
Yes 114 (95.0) 2.40±0.40    
Obstetric-Gynecology clinic visit No 92 (76.7) 2.41±0.40 -0.28 .782
Yes 28 (23.3) 2.39±0.38    
Sexual experience No 83 (69.2) 2.42±0.38 -0.56 .574
Yes 37 (30.8) 2.38±0.43    
Contraceptive experience No 86 (71.7) 2.43±0.38 -1.13 .261
Yes 34 (28.3) 2.34±0.42    
Perception of cervical cancer No 11 (9.2) 2.45±0.40 -0.43 .670
Yes 109 (90.8) 2.40±0.40    
Diagnosis of cervical cancer among family members No 109 (90.8) 2.42±0.39 -1.41 .161
Yes 11 (9.2) 2.25±0.45    
Perception of HPV∗ No 61 (50.8) 2.39±0.40 0.58 .572
Yes 59 (49.2) 2.43±0.40    
Experience of HPV education No 89 (74.2) 2.39±0.39 0.69 .491
Yes 31 (25.8) 245±0.40    
Reception of HPV vaccination No 96 (80.0) 2.39±0.39 0.75 .457
Yes 24 (20.0) 2.46±0.42    

HPV=human papilloma virus.

Table 2.
Relationships among HPV-related Knowledge, Attitude, Health Beliefs on Infection Preventive Behavioral Intention (N=120)
Variables   Knowledge Attitude Health beliefs
  Total 1 2 3 4 Total 5 6 7 8
r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p)
Attitude Total .28 (.002) 1                  
1. Safety concerns -.03 (.755) .55 (＜.001) 1                
2. Perceived needs .29 (.002) .72 (＜.001) .22 (.016) 1              
3. Importance of prevention .35 (＜.001) .36 (＜.001) -.05 (.608) .31 (.001) 1            
4. Risky sexual behavior .08 (.375) .54 (＜.001) .05 (.621) .03 (.757) -.11 (.241) 1          
Health beliefs Total .40 (＜.001) .01 (.936) -.38 (＜.001) .16 (.080) .54 (＜.001) -.13 (.167) 1        
5. Perceived sensitivity .10 (.270) -.08 (.366) -.15 (.106) .13 (.165) .23 (.012) -.28 (.002) .50 (＜.001) 1      
6. Perceived seriousness .39 (＜.001) .18 (.056) -.24 (.008) .33 (＜.001) .45 (＜.001) -.04 (.642) .79 (＜.001) .24 (.008) 1    
7. Perceived benefit .46 (＜.001) .27 (.003) -.09 (.342) .34 (＜.001) .62 (＜.001) -.10 (.297) .71 (＜.001) .18 (.050) .65 (＜.001) 1  
8. Perceived barrier .20 (.028) -.22 (.019) -.46 (＜.001) -.18 (.053) .27 (.003) -.01 (.960) .76 (＜.001) .16 (.082) .38 (＜.001) .27 (.003) 1
Infection preventive .25 .33 .10 .34 .29 .06 .23 -.09 .31 .33 .11
behavioral intention (.005) (＜.001) (.284) (＜.001) (.001) (.548) (.012) (.314) (.001) (＜.001) (.243)
Table 3.
Factors affecting on Infection Preventive Behavioral Intention (N=120)
Variables B SE β t p Tol† VIF‡ Adj. R2
(Constant) 1.26 .22   5.73 ＜.001      
Attitude - Perceived needs 0.11 .04 .25 2.87 .005 0.88 1.13 .11
Health beliefs - Perceived benefit 0.14 .05 .24 2.71 .008 0.88 1.13 .15
Smoking (Yes=1, No=0) -0.22 .09 -.22 2.63 .010 1.00 1.00 .19
        F=11.01, p＜.001      

† Tol (Tolerance): 0.88~1.00;

‡ VIF (Variance Inflation Factor): 1.00~1.13.

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