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  • Research article
  • Open Access
  • Open Peer Review

Testicular self examination among Bahir Dar University students: application of integrated behavioral model

BMC Cancer201818:21

https://doi.org/10.1186/s12885-017-3935-8

  • Received: 6 July 2017
  • Accepted: 19 December 2017
  • Published:
Open Peer Review reports

Abstract

Background

Though the incidence of Testicular cancer among young is rising, little attention is given to promoting testicular self-examination which is recommended for its early prevention in developing countries. This study aimed to assess testicular self-examination and associated factors among Bahir Dar University students using integrated behavioral model.

Methods

Cross sectional study was conducted among Bahir Dar University students in September, 2016. Systematic sampling technique was used to select 884 participants. Data was collected using self-administer questionnaire, entered into EPI Data 3.1 and exported to SPSS 21 for analysis. Path analysis was done using STATA 14.2 to check causal effect of integrated behavioral model constructs on testicular self-examination. Internal reliability of the items was checked using Cronbach’s alpha. Multivariable linear and Logistic regression were used to predict the role of independent variable on Intention and TSE respectively. Findings with p-value <0.05 at 95% confidence interval were considered as statistically significant in the final model.

Results

Only 11.8% of the students practiced testicular self-examination in the previous year. Experiential and Instrumental attitude, Perceived control and Self-efficacy were significantly predicted behavioral intention with β coefficient 0.33, 0.12, −0.08 and 0.36. Students’ academic unit [OR = 0.31, 95% CI: 0.15–0.63], educational status of student’s father AOR = 2.25; CI: 1.15–4.44] and [AOR = 3.00; CI: 1.36–6.64], Intention [OR = 1.2, 95% CI: 1.1–1.31], Know-how of TSE [OR = 3.35, 95% CI:1.94–5.80] and knowledge [AOR = 3.93; CI: 2.30–6.72] were the significant predictors of testicular self-examination. The finding of path analysis also demonstrated as Experiential and Instrumental attitude, Perceived control and Self-efficacy have significant effect on intention with path coefficient of 0.33, 0.12, −0.07 and 0.36. Intention, Knowledge and Know-how have effect on testicular self-examination with path coefficient of 0.2, 0.36 and 0.22 respectively.

Conclusions

Magnitude of testicular self-examination is low among university students and it is a product of the type of the college, family educational status, intention, Know-how and knowledge. So, behavior change communication strategy that focus on these behavioral factors should be designed and implemented to improve students’ regular practice of testicular self-examination.

Keywords

  • Testicular self-examination
  • Integrated behavioral model
  • Path analysis
  • University students

Background

Cancer of the testicle is the most frequently occurring cancer among younger men between age of 20–45 though it is uncommon type of cancer [1]. Testicular cancer (TC) begins when normal cells in a testicle change and grow uncontrollably and form a tumor. Germ cell tumor which develops in the sperm producing cell is the most common type of testicular cancer by accounting around 95%. Painless lump swelling in the testicles, a dull ache in scrotum and feeling of heaviness in the scrotum are the most common symptom of TC. Having family history of testicular cancer and being born with undescended testicles are expected to increase the risk of developing TC among men [2].

Even though evidence indicated raising of TC incidence in developed countries; especially among white in the last 5 decades and its low incidence in Asian and African countries made the scholars conclude geographic difference and being white as reason for increase of its incidence, the most recent finding shows raising of TC incidence among black American. So, there is no ground for non-increase of its incidence in African countries but lack of evidence [35]. Additionally, although the occurrence and death due to TC is estimated to be rare as compared with other cancers, recent research finding shows the chance of developing all prostate cancer in the late age is higher among men who ever experienced TC [6, 7] .

Furthermore, losing a single life of younger men who are in productive age group due to TC; which can be easily controlled has big impact on the family, the community and one’s country. It will also be additional burden of existing communicable and non-communicable disease in sub Saharan Africa like Ethiopia. So, intervention program which is based on evidence is very crucial to prevent and control this health problem.

According to World Health Organization, the burden of any type of cancer can be controlled and reduced through implementation of evidence based strategies for prevention, early detection and management of the patient [8]. Testicular cancer is highly curable if it detected early and appropriate treatment is given even after it is disseminated. The 5-year survival rate becomes 99.2% if the cancer has not spread outside the testicle while if it has spread into nearby lymph nodes, the rate become 96.1% and if it has spread to organs or lymph nodes away from the testicle, the five-year survival rate will be 73.2% [7]. Testicular self-examination (TSE) is a form of early diagnosis of TC which is recommended to be done by men’s above 15 years of age once a month after warm bath. But different research evidence shows very small number of men are practicing it and have intention to practice it [811].

Indeed, in Ethiopia, there is no clear evidence on TC including its incidence. However, some finding of study conducted in Africa reported TC incidence rate as less than 1% per 100,000 man-years [4, 5]. Despite its appropriateness and applicability in low resource setting and place where there is no effective screening method and treatment for TC, there is no apparent intervention program focusing on promoting TSE practice among younger men in Ethiopia. So, since it’s incidence is raising worldwide, this is appropriate time when the country should implement evidence based intervention program on TC.

Integrated Behavioral Model (IBM) is the behavioral model which developed in 1990s for further extension of Theory of Planned Behavior (TPB). For both of these models, the most important determinant of behavior is intention perform the behavior; however, IBM includes 3 other constructs that are not utilized within the TPB. According to IBM, in addition to intention, a particular behavior is most likely to occur if [1] a person has knowledge about, 2) there is no environmental constraint preventing performance, [3] the person has performed the behavior previously. The model also asserts, Direct determinants of individuals’ behavioral intention (BI) are their Instrumental and experiential attitudes, injunctive and descriptive norms, self-efficacy, and perceived control [12, 13]. Even though this model considered additional constructs to measure behavior, different scholars have preferred using TPA as conceptual framework to predict Behavioral Intention (BI) and TSE [10, 14, 15].

Since University students are on appropriate age for initiation of TSE, knowing the level of their BI and TSE practice is crucial for implementation of intervention. Hence, this study is aimed to determine TSE and associated factors among Bahir Dar University students using IBM as a conceptual framework.

Methods

Study design and population

A cross sectional study designed was conducted among male Bahir Dar University students. Bahir Dar University is found in Bahir Dar city which is located on northwest and 565 Kilo Meters away from Addis Ababa; the capital of Ethiopia. It is now among the largest Universities in the Federal Democratic Republic of Ethiopia, accepting more than 35,000 students in its 57 undergraduate and 39 graduate programs. Currently it has four campuses with four Colleges, three Institutes, three Faculties and one School.

Participants and sampling

After excluding students who were enrolled in postgraduate, distance and extension program, all selected students who were present during the period were participated in the study. Sample size was calculated using single population proportion formula by assuming 95% confidence interval, 5% margin of error and 50% proportion of TSE. Adding 10% possible non-response rate and 2 design effect for sampling procedure, the sample size was determined to be 884 participants.

A multi-stage sampling procedure was employed to select study participants. Three academic unit from the eleven were selected randomly using lottery method as primary sampling unit. After allocating the calculated sample size proportionally to size of each selected academic unit, one department were selected from each. Then, simple random sampling was applied to select participants using sampling frame developed for selected departments as secondary sampling unit.

Data collection procedure

The study was conducted from September 10 to 30, 2016 using self-administered structured questionnaire which was adapted from other studies on TSE [10, 15]. In addition, the finding of elicitation study which is critical step of applying IBM to identify relevant behavioral outcomes, referents, and environmental facilitators and barriers for practicing behavior using open-ended interview guide was used to develop the items [13]. Six college graduate data collectors and two supervisors who are health professional were recruited. Two-day training was given for data collectors and supervisors on the quality of the data and the procedure they have to follow during the data collection.

Instruments

The instrument was comprised of Socio demographic characteristics, Knowledge (14 items), TSE (2 items), Intention (4 items of five point Likert scale), Direct measure of experiential attitude (EA) (4 semantic differential seven-point scale), indirect measure of EA (6 items of five point Likert scale), Direct measure of instrumental attitude (IA) using 5 semantic differential seven-point scale, Indirect measure of IA (8 items of five point Likert scale), Injunctive norm (IN) using 5 Items of five point Likert scale, Descriptive norm (DN) using 5 Items of five point Likert scale, Perceived control (PC) using 5 items of likely – unlikely scale, Self-efficacy (SE)10 items of five point Likert scale and environmental constraint (EC) (4 items) (Additional file 1). Negatively worded items were reversely coded before attempt of any analysis. Internal consistency of each construct’s items was checked using Cronbach’s alpha (α).

Statistical analysis

The data was entered into Epi data 3.1 and analyzed using SPSS version 21. Path analysis was done using Stata 14.2 to check causal effect of IBM constructs on TSE. Descriptive statistical analysis like frequency and percentage for the categorical variables and mean, standard deviation and percentage for continues variables were done. The association between the intention and each constructs of IBM will be checked using Pearson’s correlation coefficient(r). T-test and chi square were also used as needed to check the association between each construct of IBM and intention to TSE and between knowledge, environmental constrain and TSE.

Linear and logistic regressions was performed to determine whether the constructs of IBM can predict BI and TSE respectively. The result of the OR was used for interpretation of strength of prediction of the independent variables to the outcome. For all statistical significance tests, the cut- off value set was p < 0.05 with Confidence interval of 95%.

Result

Reliability of the instrument

Reliability analysis is conducted to check internal consistency of the measurement of this study using Cronbach’s alpha (α). Based on this analysis, reliability score of SE (α = 0.92) is highest, followed by DN (α = 0.89), IA (α = 0.87) after dropping one item, IN (α = 0.86), BI (α = 0.85), EA (α = 0.72) after dropping two items and PC (α = 0.71) the lowest (Table 1).
Table 1

Internal consistency of constructs of integrated behavioral model

Constructs

α

Experiential Attitude

0.72

Instrumental Attitude

0.87

Injunctive Norm

0.86

Descriptive Norm

0.89

Perceived Control

0.71

Self-Efficacy

0.92

Behavioral Intention

0.85

Participants sociodemographic characteristics

Making response rate 93.6%, a total of 828 students participated in this study. The mean age was 22.5 (SD ± 2.34). Seven hundred ninety-nine (96.5%) of the participants were single. Large (85.5%) number of the respondents were orthodox in their religion. Regarding the ethnicity, highest proportion (67.5%) of ethnic group was Amhara followed by Oromo (12.4%). Around half (49%) of them were from medical and health science college and one third (32.2%) of participant’s year of study was year four. Concerning the educational status of their family, majority (39.7%) of their mother were illiterate while one third (34.6%) of their father able to read and write. Four hundred sixty-nine (56.6%) of participant’s family live in the rural area (Table 2).
Table 2

Socio demographic characteristics of Bahir Dar University male students

Variable

Frequency

Percent

Age Mean 22.5 ± 2.34 SD

Marital Status

  

 Single

799

96.5

 Ever Married

29

3.5

 Religion

  

 Orthodox

708

85.5

 Protestant

64

7.7

 Muslim

49

5.9

 Other

7

9

Ethnicity

  

 Amhara

559

67.5

 Oromo

103

12.4

 Tigre

80

9.7

 South nations

46

5.6

 Others

40

4.8

Academic Unit

  

 Medical and health science

406

49

 Low

145

17.5

 Food and Chemical

277

33.5

Year of study

  

 One

80

9.7

 Two

161

19.5

 Three

180

21.7

 Four

267

32.2

 Five

140

16.9

Educational status of Mother

  

 Illiterate

329

39.7

 Able to read and write

254

30.7

 Elementary School

79

9.6

 Secondary School

92

11.1

 College and Above

74

8.9

Educational status of father

  

 Illiterate

192

23.2

 Able to read and write

287

34.6

 Elementary School

95

11.5

 Secondary School

104

12.6

 College and Above

150

18.1

Family Place of Residence

  

 Urban

359

43.4

 Rural

469

56.6

September, 2016. N = 828

Testicular cancer and testicular self-examination knowledge and practice

Two third (66.8%) and three in four (41.5%) of participants said they ever heard of TC and TSE respectively. The magnitude of TSE practice in last 12 month was only 98 (11.8%). Of those who practiced TSE, none of them have performed it regularly. Few (17.1%) of participant reported they have know-how of performing TSE. One third (33.6%) of participants were knowledgeable about TSE. While more than half (55%) of them were knowledgeable about testicular cancer. More than half (54.3%) of them said there is no environmental constraint for TSE (Table 3).
Table 3

Knowledge and practice of Testicular self-examination among Bahir Dar University male students

Variables

Frequency

Percent

Heard of testicular cancer

  

 No

275

33.2

 Yes

553

66.8

Heard of testicular self-examination

  

 No

198

23.9

 Yes

630

76.1

Know-how of performing testicular self-examination

  

 No

686

82.9

 Yes

142

17.1

Knowledge about TC

  

 Not Knowledgeable

373

45

 Knowledgeable

455

55

Knowledge about TSE

  

 Not Knowledgeable

550

66.4

 Knowledgeable

278

33.6

Self-Examined Testicle for TC in last 12 month

  

 No

730

88.2

 Yes

98

11.8

Monthly performed TSE in last 12 month

  

 No

98

100

 Yes

0

0

Environmental constraint

  

 No

450

54.3

 Yes

378

45.7

September, 2016. N = 828

Association between intention to TSE and constructs of IBM

Linear regression was performed to predict the Intention to TSE using constructs of IBM. In this model, 44.6% (Adjusted R2 = 44.6) of the variance explained. Experiential attitude (β = 0.33, P < 0.001), instrumental attitude (β = 0.12, P < 0.001) and self-efficacy (β = 0.36, P < 0.001) have positive significant association with BI. This implies that for a unit positive change in experiential attitude, instrumental attitude and self-efficacy, the BI will increase by 0.33, 0.12 and 0.36 respectively. While PC (β = −0.08, P < 0.05) negatively associated with BI. It appeared that a unit decrease of perceived control, the intention to TSE increase by 0.08 (Table 4).
Table 4

Association between behavioral intention and constructs of IBM among Bahir Dar University students September, 2016

IBM constructs

Mean

SD

Beta

P value

95% CI

Lower

Upper

Experiential Attitude

9.8

2.4

0.33

0.001*

0.39

0.58

Instrumental Attitude

21.2

4.8

0.12

0.001*

0.04

0.14

Injunctive Norm

13.6

4.0

0.02

0.66

−0.05

0.07

Descriptive Norm

12.6

4.1

0.01

0.71

−0.04

0.06

Perceived Control

9.05

2.4

−0.08

0.004*

−0.02

−0.04

Self-efficacy

31.03

8.05

0.36

0.001*

0.13

0.19

* and italics indicates significance at p-value < 0.05, Adjusted R2 = 44.6

Factors affecting testicular self-examination of university students

Multiple logistic regression was performed to see the effect of independent variable on TSE. In this model, students’ academic unit and their father educational status from sociodemographic variables, the Know-how, knowledge about TSE, BI, injunctive norm, personal control and self-efficacy from IBM constructs showed statistical significant association with TSE and 32.6% (Nagelkerke pseudo R2) of the variance is explained collectively.

Students who are from Food and Chemical Engineering academic unit are 40% less likely to perform TSE as compared with those from medical and health science academic unit [AOR = 0.40; CI: 0.18–0.85]. Those whom their father able to read and write and completed elementary school were 2.25 and 3 times more likely to perform TSE as compared with those whom their father is illiterate [AOR = 2.25; CI: 1.15–4.44] and [AOR = 3.00; CI: 1.36–6.64] respectively.

Student who have Know-how of performing TSE are 3.35 times more likely to perform it as compared with those who do not have Know-how of performing it [AOR = 3.35; CI: 1.94–5.80]. participant students who are knowledgeable about TSE are 3.93 times more likely to perform TSE as compared with those who are not knowledgeable [AOR = 3.93; CI: 2.30–6.72]. A unit increase in intention to TSE lead an increase TSE practice by 20% [AOR = 1.20; CI:1.10–1.31]. As injunctive norm decreases by one unit, the odds of TSE practice increase by 11% [AOR = 0.89; CI:0.82–0.96]. One unit decrease in personal control lead to 10% increase in TSE [AOR = 0.90; CI: 0.82–0.92]. One unit increase of self-efficacy increases the TSE practice by 6% [AOR = 1.06; CI: 1.02–1.11] (Table 5).
Table 5

Factors affecting testicular self-examination of Bahir Dar University male students September, 2016

Variable

TSE

Adjusted Odd Ratio

95% CI

Beta

Wald

Lower

Upper

Academic Unit

     

 Medical & health science

 

6.25

1

1

1

 Low

0.43

0.02

1.04

0.52

2.09

 Food and Chemical engineering

−0.91

5.60

0.40*

0.18

0.85

Educational status of Father

     

 Illiterate

 

12.43

1

1

1

 Able to read and write

0.81

5.56

2. 25*

1.15

4.44

 Elementary School

1.10

7.41

3.00*

1. 36

6.64

 Secondary School

0.14

0.07

1.15

0.42

3.16

 College and Above

0.07

0.03

1.08

0.45

2.58

Know-how to perform TSE

     

 No

  

1

1

1

 Yes

1.21

18.74

3.35*

1.94

5.80

Knowledge

     

 Not knowledgeable

  

1

1

 

 Knowledgeable

1.37

25.32

3.93*

2.30

6.72

Environmental constraint

     

 No

 

1.08

1

1

1

 Yes

0.43

2.16

1.54

0.86

2.75

Behavioral Intention

0.18

13.80

1.20*

1.09

1.32

Experiential Attitude

−0.08

1.37

0. 24

0.81

1.05

Instrumental Attitude

−0.04

0.88

0.96

0. 89

1.04

Injunctive Norm

−0.11

7.22

0.89*

0.82

0.96

Descriptive Norm

0.02

0.05

1.02

0.95

1.10

Perceived Control

−0.06

1.53

0.90*

0.82

0.92

Self-Efficacy

0.06

8.91

1.06*

1.02

1.11

* and italics indicates significance at P-value <0.05, Adjusted R2 = 32.6 embedded

Path analysis of IBM

Intention to TSE (endogenous variable) was assessed using experiential attitude, instrumental attitude, injunctive norm, descriptive norm, personal control and self-efficacy as the exogenous variables. Four constructs; experiential attitude, instrumental attitude, personal control, and self-efficacy proved statistically significant (p < 0.05) with path coefficients of 0.33, 0.12, −0.08 and 0.36 respectively. The IBM accounted for 45% of the variance (R2) in the intention to perform TSE. In this analysis, TSE examination was functioned as the endogenous variable and BI, EC, Knowledge and Know-how to performing TSE were used as exogenous variables to predict TSE. BI, knowledge and Know-how to perform TSE were statistically significant (P < 0.05) with path coefficients of 0.2, 0.36 and 0.22 respectively. The model accounted for 31% of the variance (R2) in TSE (Fig. 1).
Fig. 1
Fig. 1

Path model of testicular self-examination among Bahir Dar university students

Generally, the Bentler’s Comparative Fit (CFI) Index (0.95), Joreskog-Sorbom’s Goodness of Fit (GFI) Index (.93) and Root Mean-Square Error of Approximation (RMSEA) of 0.062 with its 90% confidence interval of 0.043–0.084 proved the model used to predict the behavioral intention and binge drinking based on IBM constructs showed an acceptable model fit indices.

Discussion

In this study, we were able to identify a low TSE practice among University students, with 11.8% of them practicing in the last 12 months. This finding is comparable with studies conducted in different places. In study conducted in turkey among university students showed 17.7% of student who ever performed TSE [11]. In another study conducted among university students from low income (Bangladesh and Madagascar), middle income (South Africa and Turkey) and emerging economy countries, 13.6% of the students ever practiced TSE in last 12 months [9].

In contrast, the current finding is very low as compared with some studies of developed countries conducted before a decade; though the findings are not remarkably high. In study conducted in Australia, 44.6% of the university students performs TSE in a year. In two studies conducted in UK among patients attending General Practice and University students, 49 and 59% of the participants practiced TSE respectively [10, 16, 17]. The difference might be availability of TC related health campaign which improved the level of their awareness, knowledge, attitude and intention; as these variables have direct relationship with TSE in these studies. Hence, we suggest the implementation of health campaign on TC and TSE in current study area.

Additionally, none of participants of this study performed TSE regularly. In study conducted in Nigeria there is also no individual who performed TSE monthly. The finding of study in UK among undergraduate and postgraduate student also revealed only one individual performed it regularly [18, 19]. Though their finding were still not high enough., there is big difference as compared with other studies; The finding of study conducted in Australia, 17.8% of the university students performs TSE regularly. In those of two studies conducted in United Kingdom (UK) among patients attending General Practice and University students, 22% and 5% of the participants practiced TSE respectively [10, 16, 17]. It might be implementation of TC related public health campaign in these study areas for this difference.

The proportion of student who heard about TC and TSE is 59.8% and 34.9% respectively. This is higher as compared with two study conducted in Nigeria. In study conducted among college students, only 10.4 and 1% of the students aware of TC and TSE. In that of study among high school boys, only 1% of them heard about TSE [19, 20].This difference is due to number of study participants who are health science students; which is around half of sample in current study. However, it is lower as compared with study conducted almost two decades ago in UK and Australia. The proportion of participants who heard of was 90.6% in that of UK study. In the study among Australia University. 58.4% of the participant heard of TSE [17, 18]. This indicates big difference in availability of health information between developed and developing countries even after long period of time.

Of the six constructs of Integrated Behavioral Model, experiential attitude, instrumental attitude, personal control and self-efficacy have statistically significant association with intention to TSE with beta coefficient 0.33, 0.12, −0.08 and 0.36 respectively. In study which used IMB to investigate predictor of binge drinking behavior of university students, experiential attitude, injunctive norm and self-efficacy were significantly associated with BI [21]. SE and PC were significant predictor of intention in study which investigated TSE using TPB as a conceptual framework [10]. In addition to attitude and subjective norm, PC and SE were also found predictor of breast self-examination and TSE intention in study which investigated the value of TPB [14]. Self-efficacy has been found significant determinant of BI in studies conducted to assess the health protective behavior [15, 22, 23]. However descriptive and injunctive norm were not predictive of intention to TSE in current study. This indicates referent others approval or disproval have no effect on intention to TSE among these students. The possible reason for this could be due to variation across the behavior, population and situation under which behavior is occurring according to IBM perspective [13].

The path analysis also revealed the same finding in which, experiential attitude, instrumental attitude, personal control and self-efficacy have statistically significant association with BI showing path coefficient of 0.33, 0.12, −0.08 and 0.36 respectively and path from BI to TSE showed path coefficient of 0.36. In study conducted to test the TPB and the health belief model (HBM) in predicting testicular self-examination (TSE) behavior, self-efficacy and perceived behavioral control have statistically significant association with intention showing path coefficient 0f 0.83 and - 0.28 respectively as the path from intention to behavior was β = 0.41 [14]. In study conducted to predict binge drinking, experiential attitude, injunctive norm and self-efficacy were statistically significant to BI with path coefficients of 0.34, 0.23, and −0.27, respectively and the path from intention to behavior was 0.03 [21].

BI, knowledge about TSE and Know-how to perform TSE were significantly associated with TSE. The relationship between these variables and TSE is also proved in path analysis. The significance of the BI on behavior is being evidenced by finding of different researchers [10, 24]. Though Environmental Constraint have no significant association with behavior, significance of Knowledge and Know-how to perform behavior has proved the assumption of IBM about the importance of these factors for behavior to occur in addition to BI [13].

IBM explained 44.6% and 32.6% of variance for BI and TSE in regression respectively. The finding of path analysis also showed that 45% of BI and 31% of TSE in current study. It is comparable similar with study done on binge drinking in which 44% of BI and 26% of behavior explained by model [21]. The finding of meta-analysis which revealed 39 and 27% of the variance in BI and behavior respectively is also comparable with current study [25]. A major limitation of this study was the utilization of cross-sectional design; which limit not only reporting causal inferences but also measuring temporal stability (test-retest reliability) of the construct. Since the intention, behavior and constructs IBM do not change concurrently, prospective study design is recommended when IBM is used as conceptual frame work to measure the intention of a behavior and the behavioral performance at two separate points in time; but, due to a lack of resources and time, the current study did not employ that type of research design Future study should examine the causal relationship of the variables using analytical study design.

Conclusion

The finding of this study revealed that practice of TSE among university students is low. None of the student regularly practice TSE. Knowledge about TC and TSE is low among the students. BI is found as the result of EA, IA, SE and PC. BI, being knowledgeable about and having Know-how of performing TSE have significant effect on TSE. Hence, making information about TC and TSE available for students and implementing behavior change Communication strategy that focus on identified behavioral factors should be designed and implemented to improve university students regular TSE practice.

Abbreviations

BI: 

Behavioral Intention

DN: 

Descriptive Norm

EA: 

Experiential Attitude

EC: 

Environmental Constraint

IA: 

Instrumental Attitude

IN: 

Injunctive Norm

OR: 

Odd Ratio

PC: 

Perceived Control

SE: 

Self Efficacy

SPSS: 

Statistical Package for Social Science

TC: 

Testicular cancer

TPB: 

Theory of planned behavior

TSE: 

Testicular Self Examination

Declarations

Acknowledgements

The authors gratefully acknowledge Mr. Anteneh Mekuria for his professional advice and contribution toward this article.

Funding

Bahir Dar University is the funding organization for collection, entry, analysis and interpretation of this research data.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

HG conceived and designed the study. HG, YD, KR and BW involved in data collection, analysis, interpretation and field work. HW, BW and KR drafted the manuscript. HG and HW participated in critical review of the manuscript, and were major contributor in writing of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The protocol of the study was reviewed and approved by the Ethical clearance committee of Bahir Dar University. Participant’s written informed consent was sought before they are recruited to participate in the study. Names and other personal information which can violate the confidentiality of the respondents were not taken. The data obtained in due course were confidentially stored.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Health Promotion and Behavioral Sciences, School of Public Health, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia
(2)
Department of Physiology, School of Medicine, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia
(3)
Department of Adult Health Nursing, School of Health Sciences, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia

References

  1. US Preventative Services Task Force. Screening for Testicular Cancer [Internet]. 2004. Available from: http://www. ahrq.gov/clinic/3rduspstf/testicular/testiculrs.htm.Google Scholar
  2. American Society Of Clinical Oncology. Testicular Cancer [Internet]. 2014. Available from: https://www.cancer.net/cancer-types/testicular-cancer.
  3. Dearnaley DP, Huddart RA, Horwich A. Regular review- managing testicular cancer. Br Med J. 2001;322(7302):1583–8.View ArticleGoogle Scholar
  4. Salako AA, Onakpoya UU, Osasan S, Omoniyi-Esan GO. Testicular and para-testicular tumors in south western Nigeria. Afr Health Sci. 2010;10(1):14–7.PubMedPubMed CentralGoogle Scholar
  5. Trabert B, Chen J, Devesa SS, Bray F, McGlynn K. International patterns and trends in testicular cancer incidence, overall and by histologic subtype, 1973–2007. Andorology. 2015;3:4–12.View ArticleGoogle Scholar
  6. Harrison P. Testicular Cancer ups risky prostate cancer Later on. In Orlando, Florida: Medscape; 2015. Available from: http.//WWW. Medscape.com/viewarticle/840285
  7. NCI. SEER Stat Fact Sheets: Testis cancer [Internet]. 2014 [cited 2017 Oct 23]. Available from: http://seer.cancer.gov/statfacts/html/testis.html
  8. WHO. World Cancer Report 2014 [Internet]. WHO; 2014. Report No.: 3. Available from: www.iarc.fr/en/publications/books/wcr/wcr-order.php
  9. Peltzer K, Pengpid S. Knowledge, attitude and practice of testicular self-examination among male university students from Bangladesh, Madagascar, Singapore, South Africa and Turkey. Asian Pac J Cancer Pre. 2015;16(14):4741–3.View ArticleGoogle Scholar
  10. McClenaham C, Shevlin M, Adamsom G, Bennett C, O’Neill B. Testicular self-examination: a test of the health belief model and the theory of planned behaviour. Health Educ Res. 2007;22(2):272–84.View ArticleGoogle Scholar
  11. Ugurlu Z, Akkuzu G, Karahan A, Beder A, Dogan N, Okdem S, et al. Testicular cancer awareness and testicular self-examination among university students. Asian Pacific. J Cancer. 2011;12:695–8.Google Scholar
  12. Ajzen I. The theory of planned behaviour. Organ Behav Hum Decis Process. 1991;50:171–211.View ArticleGoogle Scholar
  13. Glanz K, Rimer BK. Health, Behavior and Health Education: Theory, Research and Practice. 4th ed. 989 Market Street, San Francisco, CA 94103–1741: Jossey-Bass; 2008. 590 p.Google Scholar
  14. McCaul K, Sandgren A, O’Neill H. The value of the theory of planned behaviour, perceived control and selfefficacy expectations for predicting health-protective behaviours. Basic Appl Soc Psych. 1993;14:231–52.View ArticleGoogle Scholar
  15. Lechner L, Oenema A, Nooijer J. De. Testicular selfexamination (TSE) among the Dutch young men aged 1519: determinants of the intention to practice TSE. Health Educ Res. 2002;17(1):73–84.View ArticlePubMedGoogle Scholar
  16. Khadra A, Oakeshott P. Pilot study of testicular cancer awareness and testicular self-examination in men attending two South London general practices. Fam Pract. 2002;19(3):294–6.View ArticlePubMedGoogle Scholar
  17. Barling NR, Lehman M. Young men's awareness, attitudes and practice of testicular self-examination: a health action process approach. Psychol Health Med. 1999;4(3):255–63.Google Scholar
  18. Moore RA. Topping a. Young men’s knowledge of testicular cancer and testicular self-examination: a lost opportunity? European Journal of Cancer Care. 1999;8:137–42.View ArticlePubMedGoogle Scholar
  19. Onyiriuka AN, Imoebe F. Testicular self-examination among Nigerian adolescent secondary school boys: knowledge, attitudes and practices. J PREV MED HYG. 2013;54:163–6.PubMedPubMed CentralGoogle Scholar
  20. Ugboma HAA, Aburoma HLS. Public awareness of testicular cancer and testicular self-examination in academic environments: a lost opportunity. Clinics. 2011;66(7):1125–8.PubMedPubMed CentralGoogle Scholar
  21. Braun RE. Using the integrated behavioral model to predict binge drinking among college students [dissertation]: The University of Toledo; 2012.Google Scholar
  22. Garcia K, Mann T. From “I wish” to “I will”: social cognitive predictors of behavioural intentions. J Health Psychol. 2003;8:347–60.PubMedGoogle Scholar
  23. Norman HS. The theory of planned behaviour and breast self-examination: distinguishing between perceived control and self-efficacy. J Appl Soc Psychol. 2004;34:694–708.View ArticleGoogle Scholar
  24. Collins SE, Carey KB. The theory of planned behavior as a model of heavy episodic drinking among college students. Psychol Addict Behav. 2007;21:498–507.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Armitage C, Conner M. Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol. 2001;40(4):471–99.Google Scholar

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