ISSN: 2167-0420
Research Article - (2013) Volume 2, Issue 4
In a non-experimental analytical study 70 male respondents from Badi community, from western Nepal, where women prostitute themselves, were interviewed using structured questionnaire adapted from Health Belief Model (HBM) to collect data on knowledge of condom and its benefits on transmission of Sexually Transmitted Infection (STI) and Human Immune Deficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS). Logistic regression analysis model was used to analyze data. Prevalence of condom use among respondents was very low (29%). Only two third had knowledge on condom before first sexual contact. 10.5 percent used condom always/consistently. 43.1% respondents intended to use condom. Respondents with knowledge on condom were 5 times more likely to use condom. Based on HBM final predictor, condom use was related to its High susceptibility (OR=1.416, 95% CI=1.2- 2.034), high benefits (OR=1.086, 95% CI=.730-1.615) low barrier (OR=0.891, 95% CI=.696-1.139), high cues to action (OR=1.785, 95% CI=1.049-3.035) and younger age (OR=6.213). The main reason behind low condom was perceived high barrier. Preventions strategies based on increasing perceived risk, perceived severity or adequate knowledge about HIV/AIDS should be promoted to increase condom use.
Keywords: Condom use, Badi community, HIV, STD, Nepal
Human-Immune Deficiency Virus (HIV) is one of the world’s leading infectious killers, claiming more than 20 million lives over the past three decades since it was discovered and 36 million more are suffering from the disease [1]. Prevalence of HIV/AIDS has been found more among the sex workers and their clients. HIV infected commercial sex workers has robust effect on the prevalence of the disease [2]. Condoms are an integral part of Sexually Transmitted Disease (STD) and Human-Immune Deficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) prevention. The fact that condoms can save lives is indisputable. It is also fact that many people in every country have no alternative to condom use of protecting themselves or their sexual partners. Condom effectiveness over STD and HIV prevention has been demonstrated by various epidemiologic studies. In addition, epidemiologic studies have also shown that condom use reduces the risk of many other STDs [3-9]. Promoting use of condoms and encouraging commercial sex workers for safe sex practices have been effective in preventing HIV transmission [10].
Badi are an untouchable Hindu caste, with a total population of approximately 7,000 who inhabit scattered settlements in the Salyan, Rolpa, Rukum, Dailekh, Jajarkot, Dang, Banke, Bardiya and Surkhet Districts of west Nepal. Badi men fish and make drums and pipes, which they sell to Nepalese in neighboring communities. Badi women prostitute themselves, beginning at puberty and continuing until they become too old to attract any more customers, or get married [11].
A study conducted among the Badi women showed prevalence of VDRL to be around 70% [12]. Their husbands are at high risk of having HIV infection. Although the same study showed no positive HIV cases, they are at high risk for HIV. Condom use can reduce the transmission of STI and HIV/AIDS among this population. But, unfortunately condom use is too low in men of Badi community [13]. Knowledge on mode of transmission of HIV also associated with condom use but the knowledge on HIV among Badi community is low [12].
Consistent use of condom is associated with people’s perception of susceptibility, severity to a HIV and STI and perception of benefit greater then barrier to condom use. With this thought, it is therefore essential to get the baseline information of condom use and it’s frequency among Badi community. Secondly, it would be beneficial to identify factors associated with condom use by using Health Belief Model (HBM) framework. The HBM postulates that an individual’s actions are based on beliefs. It underlines main factors for decision making such as perceived susceptibility, perceived severity of the outcome or conditions, perceived efficacy or benefit of control measure and perceived barriers to prevention. It has been extensively used in behavioral sciences to predict behaviors and to design behavioral prevention programs [13].
A cross-sectional study was carried out among 70 badi men of age more than 15 years in Sahare Village Development Committee (VDC) of Surkhet District in Mid-western Nepal after obtaining informed consent. Sample size was calculated using single proportion test formula. The list of the samples was obtained from the VDC of Sahare village of the district. Simple random sampling technique was applied to select the samples. Structured questionnaire was used to collect the information. The questionnaire consisted of close and open ended questions. First part of questionnaire consisted of demographic information. Second part comprised information about sexual activities and condom use, third part included knowledge on mode of transmission of HIV and the last part consisted of HBM domain.
Five domains were included in HBM namely perceived susceptibility, perceived severity, perceived benefit, perceived barriers and cues to action. Perceived susceptibility included the perception of likelihood of experiencing a condition that would adversely affect one’s health. Perceived severity refers to the beliefs a person hold concerning the effects a given disease or condition would have on one’s state of affairs. Perceived benefit of taking action toward the prevention of disease or toward dealing with an illness represents how well people have accepted the susceptibility of a disease and recognized its seriousness. Perceived barriers to taking action relate to the characteristics of a treatment or preventive measure which may be inconvenient, expensive, unpleasant, painful or upsetting. Finally, a cue to action is an individual’s perception of the levels of susceptibility and seriousness that provide the force to act. Perceived susceptibility, perceived severity, perceived benefit, perceived barrier, and cues to action consisted of 6, 6, 4, 10 and 4 items respectively. All responses were summarized in to index scores ranging from minimum to maximum, with a higher score indicating higher perception of the five constructs.
For descriptive analysis, mean, median and frequency was calculated. Demographic and other variables associated with condom use were identified using chi-square test. Logistic regression was used to determine the significant predictors of condom use. A 95% confidence interval was presented, Odds Ratio (OR) was calculated and P-value was presented with 5% level of significance. Epidata was used to enter the data and R 2.10 software was used to analyze the data.
Demographic characteristics
Out of all respondents, mean standard deviation of age was 33.66 ± 14.14 ranging from 16 to 60 years. Nearly half of them (44%) were between 20-40 years of age. Majority of the respondents (92.2%) were Hindu followed by Christian. Nuclear family was predominant in more than half of the respondents (57%) others being from joint family. About half of the respondents (51.4%) were engaged in labor, a quarter of them had agriculture as their main occupation, about 18.6% went for foreign employment and very few of 4.3% had their own business. Turning to educational status, most of them (58.6%) were literate. Among them, two third of them had primary education. Only 7% of the respondents had at least secondary level of education.
Sexual characteristics and condom use
Most of the respondents had good knowledge about condom and its use as shown in Table 1. Regarding history of sexual activities of the respondents, 96.9% of them were engaged in sexual activities. Forty six percent respondents were involved in sexual activities with their wife and 50.8 percent were involved with both (wife and extra marital affairs) sexual partner.
Sexual Activities and condom use | Number (%) |
---|---|
Ever heard about condom (n=70) | |
Yes | 65 (92.9) |
No | 5 (7.1) |
Heard about condom before first sexual contact (n=65) | |
Yes | 42 (64.6) |
No | 23 (35.4) |
Knowledge about condom before first sexual contact (n=42) | |
Yes | 28(66.7) |
No | 14 (33.3) |
Sexual contact within 3 months (n=65) | |
Yes | 63 (96.9) |
No | 2 (3.1) |
If yes then with whom (n=65) | |
Wife | 30 (46.2) |
Other women | 2 (3.1) |
Both | 33 (50.8) |
Condom use during sexual contact (n=65) | |
Yes | 19 (29.2) |
No | 46 (70.8) |
If yes how often (n=19) | |
Always | 2 (10.5) |
Mostly | 6 (31.6) |
Sometimes | 11 (57.9) |
With whom used condom during sexual contact (n=19) | |
Wife | 5 (26.3) |
Other women | 10 (52.6) |
Both | 4 (21.1) |
Intention to condom use (n=65) | |
Intended | 28 (43.1) |
Don’t know | 25 (38.5) |
Not intended | 12 (18.5) |
Table 1: Sexual activities and condom use practices.
Most (70.8%) of the respondents did not use condom during sexual contact. Among those respondents who used condom during sexual contact, 57.9% used it sometimes, 31.6% used frequently and very few of 10.5% used it always. More than half of the respondents used condom with other women (extra marital sexual partner). Only a quarter of them used condom with wife while 21.1% used condom with both partner. To know about the people’s future intention to use condom, it was found that majority of the respondents (43.1%) intended to use condom, 38.5 percent had not decided about condom use in future and 18.5 percent never intend to use condom in future.
Regarding knowledge on mode of transmission of HIV/AIDS, almost all had heard about HIV/AIDS. Majority of them explained that it was transmitted from sexual intercourse followed by unprotected sex, multiple sex partners, infected blood transfusion, and infected mother and intra venous drug users respectively.
Socio-demographic factors affecting condom use
Middle age group, having business occupation, being literate and getting secondary education and having knowledge on condom use increased the odds of condom use as shown in Table 2.
Characteristics | Crude OR | condom use | P value | |
---|---|---|---|---|
95% CI | ||||
Upper | Lower | |||
Age group | ||||
<20 | 1 | (Ref.) | (Ref.) | |
20-40 | 7.111 | 1.234 | 40.984 | 0.028 |
>40 | 3.429 | 0.649 | 18.113 | 0.147 |
Religion | ||||
Hindu | 1 | (Ref.) | (Ref.) | |
Christian | 0.583 | 0.061 | 5.589 | 0.64 |
Occupation | ||||
Agriculture | 1 | (Ref.) | (Ref.) | |
Business | 8.667 | 0.577 | 130.111 | 0.1 |
Labour | 1.625 | 0.373 | 7.072 | 0.518 |
Foreign employment | 2.708 | 0.504 | 14.541 | 0.245 |
Education status | ||||
Illiterate | 1 | (Ref.) | (Ref.) | |
Literate | 4.48 | 1.147 | 17.503 | 0.031 |
Education level | ||||
Primary | 1 | (Ref.) | (Ref.) | |
Lower secondary | 2.2 | 0.27 | 17.924 | 0.461 |
Secondary | 8.8 | 0.869 | 89.125 | 0.046 |
Heard about condom before 1st intercourse | ||||
No | 1 | (Ref.) | (Ref.) | |
Yes | 2.639 | 0.757 | 9.205 | 0.01 |
Knowledge on condom before 1st intercourse | ||||
No | 1 | (Ref.) | (Ref.) | |
Yes | 5.2 | 0.978 | 27.653 | 0.053 |
Sexual contact with whom | ||||
Wife | 1 | (Ref.) | (Ref.) | |
Other women | 0 | 0 | . | 0.999 |
Both | 2.6 | 0.836 | 8.088 | 0.052 |
Table 2: Socio-demographic factors affecting condom use.
Final predictors of condom use
For ease of interpretation of the results, the independent scale scores of HBM constructs were divided by median splits. The independent variables were entered into the model. In step 1, demographic variables that were significant in bivariate analysis were entered into the model. In step 2, insignificant demographic variables (p<0.05) were removed from the model. The third step fitted a model composed of only the significant variables identified in step 2.
Of the eight variables found significant in bivariate test, six variables were significant predictors of ever-use of condom in the regression analysis as shown in Table 3. Younger respondents were six times more likely use a condom than adolescent (OR=6.213). Respondents who perceived a high level of susceptibility to HIV/AIDS were more likely to use condom than those who perceived a low level of susceptibility (OR=1.416, 95% CI=1.2, 2.034). Respondents who perceived a high level of severity to HIV/AIDS were unlikely to use condom than those who perceived a low level of severity (OR=0.730, 95% CI=0.555, 1). Respondents who perceived a high level of benefits to condom use were likely to use condom (OR=1.086, 95% CI=0.730, 1.615). Likely, those who perceived high level of barrier were unlikely to use (OR=0.891, 95% CI=0.696, 1.139). Moreover, the respondents who had high perceived cues to action were likely to use condom (OR=1.785, 95% CI=1.049, 3.035).
Characteristics | Crude OR (95% CI) | Adjusted OR (95% CI) | P- value |
---|---|---|---|
Age group | |||
<20 | 1.000 (Ref.) | 1.000 (Ref.) | |
20-40 | 7.111(.000, .99) | 6.213 | 0.04 |
>40 | 3.429 (.000, .99) | 1.748 | 0.99 |
Education status | |||
Illiterate | 1.000 (Ref.) | 1.000 (Ref.) | |
Literate | 5.200 (.103, 19.059) | 14.621 | 0.651 |
Knowledge on condom before first intercourse | |||
No | 1.000 (Ref.) | 1.000 (Ref.) | |
Yes | 5.200 (.103, 19.059) | 1.402 | 0.75 |
Perceived susceptibility | |||
Low | 1.000 (Ref.) | 1.000 (Ref.) | |
High | 1.068 (0.884 , 1.29) | 1.416 (1.2, 2.034) | 0.049 |
Perceived severity | |||
Low | 1.000 (Ref.) | 1.000 (Ref.) | |
High | 0.712 (0.551, 1) | 0.730 (.555, 1) | 0.037 |
Perceived benefits | |||
Low | 1.000 (Ref.) | 1.000 (Ref.) | |
High | 1.472 (1.472, 1.89) | 1.086 (.730, 1.615) | 0.042 |
Perceived barrier | |||
Low | 1.000 (Ref.) | 1.000 (Ref.) | |
High | 0.786 (0.656, 0.942) | 0.891 (.696, 1.139) | 0.356 |
Cues to action | |||
Low | 1.000 (Ref.) | 1.000 (Ref.) | |
High | 2.003 (1.351, 2.969) | 1.785 (1.049, 3.035) | 0.033 |
Note: Ref. =Reference category
Table 3: Final predictors of condom use.
Socio demographic characteristics
In this study, younger respondents were found to be more likely to use a condom than adolescent and older. Studies conducted in adolescent in Ghana and America also found that adolescents were less likely to use condom than younger [14-16]. The possible exploration for this observation was that in Zimbabwe, South Africa and Nigeria reported that adolescent people had low use of condom that the main reasons were included difficulty to obtaining them, lack of sexual pleasure and embarrassing to buy condom [17-20]. In addition, those who had a higher literacy status were more likely to use condom as suggested by other study [21].
Perceived susceptibility
This study showed that respondents who perceived higher susceptibility (1.06) was associated with higher condom use similar to research conducted in US college students and Zimbabwean [22,23].
Perceived severity
Participants scored very high on AIDS Health Belief subscale ‘perceived severity’ indicating greater concern with HIV and high condom use but in this research, findings showed that the respondents who perceived high severity were unlikely to use a condom. Other studies have found the same reverse condition [18,20]. This might be because of the peoples had high perceived on AIDS causes death, if HIV infected, family relation would be strained, AIDS is a worst disease.
Perceived benefits
Respondents who perceived a high level of benefits to condom use were one times more likely to have used a condom than those who perceived a low level of benefits (OR=1.086, 95% CI=0.730, 1.615) which was similar to study conducted in US among reproductive age group of men and women. A possible explanation for this observation is that in U.S, high perceived benefits were to prevent from unwanted pregnancy, and safer sex.
Perceived barrier
Consistent with other studies, respondents who perceived a high level of barrier were more unlikely ever to have used a condom than low barrier (OR=0.891, 95% CI=.696, 1.139). There was a negative association between perceived barrier and condom use. The respondents whose perceived barrier was low were positively associated with condom use in other studies conducted in U.S., Nepal, Kenya, East Africa and South Africa [24-29].
Cues to action
The respondents who had high perceived cues to action was likely to use condom than those who had low perceived cues to action (OR=1.785, 95% CI=1.049, 3.035) which was similar to the study conducted in Ghana [30-38].
Majority of the respondents were engaged in high risk of sexual activities. Despite of having good knowledge on condom and its use, they used it less frequently in practice. Extra marital sexual intercourse in male of Badi community was quite high. The prevalence of condom use in male of Badi Community was low in comparison to National figures. Among those who used condom, the consistence of condom use was too low. The reasons behind low use of condom were age group, education status and knowledge on mode of transmission of HIV/AIDS, perceived susceptibility, perceived benefits, perceived barrier and cues to action.
HBM predicted condom use was associated with four domains i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barrier and cues to action. In addition, demographic factors and literacy status were also significantly associated with condom use.
Findings from this study highlight important psychosocial and behavioral factors that affect condom use.
There have not been any studies in the past done in order to address the awareness of condom use and transmission of HIV among the people in high risk communities in the western Nepal. The scope of this study is high as this is the first study using Health Belief Model to identify the factors affecting use of condom in men of Badi community. This study helps the stake holders working in raising awareness on prevention of HIV/AIDS in the country. These findings must be incorporated in HIV preventive programs for youth in Badi community. Program should focus on reducing barriers of condom use to increase its use as the use of condom among this high risk group was low.