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Research on Humanities and Social Sciences                                               www.iiste.org
ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
Vol.1, No.4, 2011


              Does Education Leads to Contraceptive Use?
  A Study of Sexually Experienced Unmarried Men in India
               Prashant Kumar Singh1* Manoj Alagarajan1 Rajesh Kumar Rai2 Lucky Singh3
    1.   International Institute for Population Sciences, Mumbai 400 088, India
    2.   Tata Institute of Social Sciences, Mumbai 400 088, India
    3.   International Institute for Population Sciences, Mumbai 400 088, India
    * E-mail of the corresponding author: prashants.geo@gmail.com


Abstract
The consequences of pre-marital sex have been the subject of common concern for the public health
professionals and policy makers. In India, despite strict societal sanctions, the prevalence of pre-marital
sex has been repeatedly documented across literatures. It is believed that existing education system
could afford the responsibility to develop protective sexual behavior among unmarried youths. Using
National Family Health Survey (2005-06) data, this study examines the effect of education on
contraceptive and condom use among sexually experienced unmarried men. Results indicate that
education has a positive effect on contraceptive as well as condom use. However the interaction effect
of education and awareness on contraceptive and condom use provides the key explanations for safe
sexual practices. The findings could help policy makers to focus on both education and awareness
which might lead to improvement in safe sexual practices in India where introducing sex education is
still a controversial issue.
Keywords: Education, awareness, unmarried men, contraceptive and condom use, India


1. Introduction
The socioeconomic and health implication of pre-marital sex remains the subject of common concern
and discussion among researchers and policy makers (Ganguli, 1998). Several studies from developing
countries have reported about premarital sexual relationship among young unmarried men and women
(Guiella & Madise, 2007; Gage, 1998; Jejeeboy, 1998). Due to the risky sexual encounters, illegal and
unsafe abortions are prevalent on staging scale in developing countries (Savara & Sridhar, 1992).
Moreover, the spread of Reproductive Tract Infections (RTI), Sexually Transmitted Infections (STIs),
Sexually Transmitted Diseases (STDs), and the imminent threat of HIV/AIDS epidemic in recent years
have increased the consequences of premarital sex in the developing countries (Potdar & Koening,
2005). Traditionally, due to prevailing family and societal value system Indian men and women are not
expected to have sexual relationship until marriage. However, despite strict societal sanctions pre-
marital sex has reported in several studies (IIPS & Population Council, 2009; Alexender et al., 2007;
Brahme et al., 2005; Collumbien et al., 2002; Singh et al., 1998).
The increase in pre-marital sexual activities in India could be an outcome of several socio-behavioral
changes in last few years. The average age at marriage for both men and women has been rising by one
year per decade (IIPS, 2006), which widened the period between age of sexual maturity and marriage.
Additionally, exposure towards western culture, mass media such as movies and literature has
increased the commercial information about sex (Khanna & Kapoor, 2004). Studies also highlighted
peer-related pressures as the important factor which could leads to change in sexual behavior among
young women and men (Cicely et al., 2004). In this combined effect, young people could depart
beyond the conservative behavior. In many developing countries including India, lack of contraceptive
use, discontinuation and failure rates characterized the vast majority of sexual encounters among
unmarried young people (Singh et al., 1998; Collumbien et al., 2001). Moreover, contraceptive use by
unmarried young people is generally infrequent and irregular (Awasthi et al., 2000; Gupta, 2000;
Abraham & Kumar, 1999; Amazigo et al., 1997).




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Research on Humanities and Social Sciences                                               www.iiste.org
ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
Vol.1, No.4, 2011

As far as the role of education is concerned, the UNESCO in collaboration of UNAIDS launched
EDUCAIDS, the Global Initiative on Education and HIV/AIDS in 2004 (UNESCO, 2005). It seeks to
promote, develop and support comprehensive education sector responses to HIV/AIDS at global level.
Additionally, education helps to develop communication skill, self-esteem, aspirations and knowledge
about HIV/AIDS and other precautions which help to protect from risky sexual encounters (World
Bank, 2002; Chilman, 1983). In India, introducing sex education in schools and colleges is a very
sensitive subject and a topic not to be discussed openly (Sathe, 1994). Thus, it is generally believed that
existing education system could afford the responsibility to develop a protective behavior towards risky
sexual practices among unmarried young people. As the young people are an integral part of civil
society; it justifies the importance to study the sexual behavior and contraceptive use, especially the
possible impact of education, in order to preserve the productivity of the nation in a better way. Since,
past studies in India particularly looked on pre-marital sexual activity and its correlates among specific
groups they may not be generalized at national level. Therefore, the present study attempts to explore
the contraceptive and condom use separately by using large scale nationally representative dataset and
try to look at the possible impact of education among sexually experienced unmarried men in India.


2. Data and Methods
2.1 Data
The present study used data from the third round of National Family Health Survey (2005-06), covers
various aspects of health across all states of India. The NFHS-3 is a large-scale, multi-round survey
conducted in a representative sample of households throughout India. The third wave of NFHS has first
time interviewed men across the country and among them 28,238 were reported as unmarried at the
time of survey. This study included only those unmarried men who had experienced sexual intercourse
in last four weeks preceding the survey date to avoid recall bias. Thus, the present study restricts to
3,291 unmarried men for whom information was available on selected study variables.


2.2 Variables description
The dependent variables used in this paper are contraceptive use which includes; intra-uterine-device
(IUD), pills, injections, sterilization, periodic abstinence, and withdrawal methods. However, condom
use has also separately analyzed. This study has analyzed contraceptive use separately to examine the
extent of use by either sexual partner at the time of last sexual intercourse which has ignored by several
previous studies. The independent variables are education (no education, primary, secondary and
higher) place of residence (rural and urban), religion (Hindu, Muslim and Others), Caste (Schedules
Castes/ Scheduled Tribes, Other Backward Castes, General and Other/Don’t know), wealth index
(poorest, poorer, middle, richer and richest), household structure (nuclear and joint), mass media
exposure (no and yes), know about HIV/AIDS (yes and no), aware about Sexual Transmitted Diseases
(yes and no), know condom as a means to avoid AIDS (yes and no), work status (no and yes), age at
first sexual intercourse (below 14, 15-19, 20-24, 25 and above), total lifetime number of sexual partner
(1, 1-3, and 4+) and alcohol consumption (no and yes).


2.3 Analytical strategy
Bivariate and multivariate analyses were performed to fulfill the study objectives. At first the gross
differentials have examined to determine the use of contraceptive and condom among unmarried men
at the time of last sexual encounter. It is worth mentioning, Chi-square test were performed to examine
the difference in proportion in bivariate analyses. In order to observe the net effect, the study applied
multivariate logistic regression analysis to explain the variation in the use of contraceptive and
condom. Further, for each outcome variable, sets of different models were carried out to examine the
unadjusted and adjusted effects of ‘education’ on aforementioned outcome variable.


3. Results
3.1 Profile of the sample




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Research on Humanities and Social Sciences                                              www.iiste.org
     ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
     Vol.1, No.4, 2011

     The utilisation rate of machines in a period of time, Ut, can be calculated as the total processing time,
     tpro, Table 1 represents the weighted percentage distribution of unmarried men experienced sexual
     intercourse by selected background characteristics. Majority of unmarried men experienced sexual
     intercourse had completed secondary education level (63%). About 67% and 94% men have knew
     about HIV/AIDS and aware about STDs respectively. Nearly half of the sexually experienced men did
     not know condom use during sexual intercourse as a possible way to avoid HIV/AIDS. Majority of
     unmarried men lived in rural areas (61%) and belonged to Hindu religion (80%). About one third were
     from the Other Backward Caste and 23% belonged to richest wealth quintile. Nearly 57% belonged to
     joint family and 85% was working. Over half of the unmarried men experienced first sex in the age
     group 15-19 years and about 29% had 2-3 lifetime numbers of sexual partners. About 48% unmarried
     men have consumed alcohol.
          Table 1: Percentage distribution of sexually active unmarried men by selected background
                                   characteristics, India, NFHS-3 (2005-06)
Selected variables                          %          n       Selected variables                   %             n
Education                                                      Wealth Index
No Education                               10.7       351      Poorest                             12.9          425
Primary                                    13.8       454      Poorer                              18.8          619
Secondary                                  63.0       2074     Middle                              20.9          688
Higher                                     12.5       412      Richer                              24.0          790
Knowledge about HIV/AIDS                                       Richest                             23.4          769
No                                         33.0       1081     Household structure
Yes                                        67.0       2070     Nuclear                             42.7          1342
Aware about STDs                                               Joint                               57.3          1798
No                                         5.7        188      Mass Media Exposure
Yes                                        94.3       3103     No                                   2.1          69
Knowledge about condom use to avoid
HIV/AIDS                                                       Any                                 97.9          3222
No                                         50.1       1650     Work Status
Yes                                        49.9       1641     Not working                         15.0          493
Residence                                                      Working                             85.0          1795
Rural                                      61.4       2020     Age at first sexual intercourse
Urban                                      38.6       1271     below 14                            11.0          363
Religion                                                       15-19                               52.7          1735
Hindu                                      80.1       2636     20-24                               28.8          946
Muslim                                     11.5       377      25 above                            7.5           246
                                                               Total lifetime number of sexual
Others                                      8.4       278      partners
Caste                                                          1                                   57.4          1889
SC/ST                                      31.2       1027     2-3                                 28.5          938
OBC                                        34.1       1123     4+                                  14.1          464
General                                    32.2       1142     Drink alcohol
                                                               No                                  52.3          1720
                                                               Yes                                 47.7          1571
                                                               Total number of respondents                       3291

     3.2 Bivariate analysis
     Contraceptive and condom use among sexually experienced unmarried men by background
     characteristics is presented in Table 2. Overall, 27% and 23% unmarried men have used contraceptive
     and condom at the time of last sexual intercourse respectively. The bivariate association suggests that
     contraceptive (34%) and condom (29%) use were more among higher educated men. Nearly, 31% and
     26% men used contraceptive and condom respectively who knew about HIV/AIDS. The use of condom
     was 23% among unmarried men who were aware about STDs. Similarly, contraceptive (32%) and
     condom (27%) use were higher among unmarried men who knew condom use during sexual
     intercourse as a possible way to avoid HIV/AIDS respectively. The use of contraceptive and condom
     were more in urban unmarried men than the rural counterpart. Unmarried men belonged to other
     religion were 38% and 32% used contraceptive and condom respectively. Scheduled Castes/Scheduled
     Tribes men were reported more contraceptive (36%) and condom (31%) use then the other castes
     groups. The use of contraceptive and condom among unmarried men from poorest wealth quintile were
     18% and 11% respectively. The use of contraceptive and condom among unmarried men were



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Research on Humanities and Social Sciences                                                           www.iiste.org
      ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
      Vol.1, No.4, 2011

      increasing with the increase in the lifetime number of sexual partners. Unmarried men who consumed
      alcohol were reported lower contraceptive (23%) and condom use (19%).
      Table 2: Percentage of sexually active unmarried men using contraceptive and condom use at last
                    sex by selected background characteristics, India, NFHS-3 (2005-06)
                            Contraceptive        Condom                                             Contraceptive         Condom
Selected variables                                             Selected variables
                                 use                use                                                  use                use
Education                    (38.86***)         (48.81***)     Household structure                        ns                 ns
No Education                    17.4               12.2        Nuclear                                  27.0               22.7
Primary                         21.4               15.3        Joint                                     27.3               22.6
Secondary                       28.4               24.4        Wealth Index                          (133.43***)        (173.59***)
Higher                          34.2               29.1        Poorest                                  17.6               11.4
Knowledge about
HIV/AIDS                      (32.80***)        (30.83***)     Poorer                                     22.0               14.4
No                               21.0              17.1        Middle                                     18.5               15.4
Yes                              30.8              26.3        Richer                                     29.2               24.9
Aware about STDs               9.93***           20.63***      Richest                                    41.2               38.1
No                               17.0               8.2        Mass Media Exposure                         ns                 ns
Yes                              27.5              23.2        No                                         26.0               13.6
Know condom
during sexual
                              (34.63***)        (34.43***)     Yes                                        27.1               22.5
intercourse use to
avoid HIV/AIDS
No                               22.4              18.0         Work Status                                   ns              ns
Yes                              32.0              26.8         Not working                                 27.8             23.4
Residence                     (56.26***)        (88.43***)      Working                                     26.7             22.1
                                                                Age at first sexual
Rural                            22.3               16.7        intercourse                              (36.65***)      (31.498***)
Urban                            34.2               31.1        below 14                                    17.6             14.1
Religion                      (22.61***)         (18.67***) 15-19                                           26.5             21.8
Hindu                            25.3               20.9        20-24                                       32.7             27.8
Muslim                           30.4               25.7        25 above                                    21.1             18.1
                                                                Total lifetime number of
Others                           37.8               31.9        sexual partners                         (100.53***)       (88.93***)
Caste                         (66.80***)         (71.26***) 1                                               21.7             18.0
SC/ST                            35.6               31.3        2-3                                         28.9             23.1
OBC                              23.6               19.0        4+                                          44.4             39.2
General                          21.2               16.8        Drink alcohol                            (22.12***)       (27.12***)
                                                                No                                          30.7             26.4
                                                                Yes                                         23.4             18.6
                                                                Total                                       26.9             22.3
Note: χ2test applied for each variable; #significant at 0.01 level,*significant at 0.05 level; ns: not significant; NA: Not applicable

      3.3 Multivariate analysis
      The bivariate analysis clearly suggests that along with education, other background characteristics have
      also an effect on contraceptive and condom use among unmarried men. To examine the adjusted effect
      of education on two outcome variables, multivariate analysis was carried out and the results are
      presented in Table 3.
      Model 1 shows that the use of contraceptive was found to be more likely among secondary (OR=1.646)
      and higher (OR=1.780) educated men than the uneducated men (p<0.01). Similarly, the odds of using
      condom use was also more likely among secondary (OR=1.465; p<0.01) and higher (OR=1.621,
      p<0.01) educated men than the uneducated men (Model 4). Model 2 shows that, after including
      knowledge of HIV/AIDS along with education and other selected background characteristics, the
      likelihood of contraceptive use were found to be more among men who knew about HIV/AIDS than
      there counterpart (OR=1.796, p<0.01). However, education did not show any significant impact on
      contraceptive and condom use. Muslim religion were found to be significantly and negatively
      associated with the contraceptive use. Wealth quintile and age at first sexual intercourse was
      significantly and positively associated with the use of contraception among unmarried men. The impact
      of education reduces in model 3, where aware about STDs was included along with all variables used
      in model 2. The odds of using contraceptive was high among men who were aware about STDs
      (OR=1.858; p<0.01) than those men who did not aware about STDs. Again variables which showed



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Research on Humanities and Social Sciences                                             www.iiste.org
  ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
  Vol.1, No.4, 2011

  significant association with contraceptive use in model 2 were also found to be significantly associated
  in model 3.



   Table 3: Logistic regression (Odds ratio) for assessing the likelihood for use of contraceptive and
                condom by education and selected variables, India, NFHS-3 (2005-06)
                                   Contraceptive use                             Condom use
Selected Covariates          Model-1 Model-2 Model-3              Model-4    Model-5  Model-6       Model-7
                             Exp (β)   Exp (β)    Exp (β)         Exp (β)    Exp (β)  Exp (β)       Exp (β)
Education
No Education®
Primary                      1.172      0.943      1.075          0.953      0.782       0.847      0.77
Secondary                    1.646**    1.257      1.419*         1.465**    1.131       1.291      1.107
Higher                       1.780**    1.212      1.527*         1.621**    1.110       1.382      1.097
Knowledge about
HIV/AIDS
No®
Yes                                     1.796***   1.520**                   1.701***    1.621***   1.298*
Aware about STDs
No®
Yes                                                1.858***                              1.747***   1.589*
Know condom during
sexual intercourse use to
avoid HIV/AIDS
No®
Yes                                                1.526**                                          1.420***
Residence
Rural®
Urban                        1.228*     1.169      1.221          1.300**    1.251*      1.286**    1.240*
Religion
Hindu®
Muslim                       0.608***   0.596***   0.599***       0.602**    0.583***    0.589***   0.492***
Others                       1.017      1.083      1.009          0.985      1.038       1.023      1.04
Caste
SC/ST®
OBC                          0.676***   0.708**    0.687**        0.987**    0.709**     0.704**    0.720***
General                      0.668**    0.688**    0.682**        0.983**    0.709**     0.689**    0.711***
Wealth Index
Poorest®
Poorer                       1.183      1.117      1.114          1.180      1.126       1.102      1.14
Middle                       1.244      1.06       1.146          1.629*     1.418       1.482      1.449
Richer                       2.007***   1.721**    1.832**        2.593***   2.282***    2.329***   2.320***
Richest                      2.840***   2.561***   2.587***       3.847***   3.503***    3.463***   3.615***
Household structure
Nuclear®
Joint                        0.927      0.934      0.944          0.888      0.902       0.9        0.907
Mass Media Exposure
No®
Yes                          1.292      1.365      1.142          1.034      1.094       0.884      1.082
Work Status
Not working®
Working                      1.05       1.068      1.053          1.023      1.045       1.023      1.06
Age at first sexual
intercourse
below 14®
15-19                        1.29       1.258      1.26           1.306      1.266       1.275      1.267
20-24                        1.682**    1.587**    1.639**        1.672**    1.541*      1.642*     1.556**
25 above                     1.353      1.368      1.32           1.304      1.286       1.277      1.27
Total lifetime number of
sexual partners
1®
2-3                          1.055      1.056      1.049          1.003      1.005       0.944      1.016




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  ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
  Vol.1, No.4, 2011

4+                           1.351**     1.395**    1.316**        1.277      1.296*      1.247       1.301**

                                                                                             Table 1 continued
Drink alcohol
No®
Yes                              0.987      0.963      0.994          1.069       1.051      1.074        1.047
-2 log likelihood                2326.957 2205.772 2114.629           2125.190 2029.406 2010.737 2004.491
Note: Level of significance: * p < 0.10 ** p < 0.05 *** p < 0.01 ® Reference category
Model 1and 4: Only education with other selected background variables and excluding knowledge variable.
Model 2and 5: Education + knowledge about HIV/AIDS.
Model 3and 6: Education + heard about STDs Model 4: Education + knowledge about condom as a means to avoid
HIV/AIDS
Model 7: Education + know condom use during sexual intercourse as a way to avoid HIV/AIDS


  No significant effect of education on condom use was evident when the knowledge about HIV/AIDS
  variable was included in model 5. The odds of condom use were more likely among men who knew
  about HIV/AIDS than their counterpart (OR=1.701; p<0.01). Muslim men were less likely to use
  condom than the men belonged to Hindu religion (OR=0.589; p<0.01). The odds of using contraceptive
  was higher among wealthier men compared with men belonged to poorest wealth quintile (OR=2.587;
  p<0.01). A similar association was observed in model 6 when aware about STDs was included along
  with other background variables. The odds of condom use was more likely among those men who have
  aware about STDs than those who did not aware (OR=1.747; p<0.01). However, the impact of
  education on condom use remains insignificant. Place of residence and wealth status found to be
  significant and positively associated with the condom use. The last model (Model 7), shows significant
  effect of two knowledge related variables (knowledge about HIV/AIDS and aware about STDs) along
  with the one additional variables namely, knew condom use during sexual intercourse as a possible
  way to avoid HIV/AIDS. The odds of condom use were found to be high among unmarried men who
  knew condom use during sexual intercourse as a possible means to avoid HIV/AIDS, than their
  counterpart (OR=1.420, p<0.01). Unmarried men belonged to Muslim religion; Other Backward Castes
  and General Castes found to be significantly and negatively associated with the condom use during last
  sex. However, wealth status, age at first sexual intercourse and number of lifetime sexual partner were
  positively associated with the use of condom among unmarried men.


  3.4 Interaction effect analysis: multivariate technique
  Results from multivariate analyses have shown mixed effect of education and awareness on
  contraceptive and condom use among men. Therefore, to understand the possible impact of educational
  on the use of contraceptive and condom, the interaction effect is customarily assessed in the analysis of
  variance using sums of square for the interaction terms in Table 5. In this paper, new variables
  representing combinations of education and other awareness variables like, aware about STDs, know
  about HIV/AIDS and know condom use during sexual intercourse as a possible mean to avoid
  HIV/AIDS have created. The other background variables remain similar in the multivariate analysis. It
  is worthwhile to mention that only one interaction could be examined at a time. Inclusion of two
  interaction variables in a single analysis brings in multi-colinearity effect.
  The result from interaction effect demonstrated interesting observations regarding the combination of
  education and knowledge of HIV/AIDS on contraceptive and condom use by unmarried men (model 1
  and 4, table 5). The use of contraceptive and condom were positively associated with the increase in
  education and knowledge about HIV/AIDS. The odds of using contraceptive and condom use were
  two, and one and half times more likely among higher educated men who knew about HIV/AIDS
  respectively, compared with men who were uneducated and did not aware of HIV/AIDS (p<0.05).
  Similarly, the interaction effect between education and aware about STDs has shown positive effect on
  contraceptive and condom use (model 2 and 5, table 5). The likelihood of using contraceptive
  (OR=6.214, p<0.01) and condom (OR=6.630, p<0.01) were higher among those men who have higher
  education and aware of STDs than to those who were uneducated and did not aware about STDs.
  Interestingly, the likelihood of using contraceptive and condom were found to be high even among
  those men who were uneducated but aware about STDs (OR=3.924; p<0.01), compared with men who
  were uneducated and did not aware about STDs. A strong interaction effect between education ×


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             ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
             Vol.1, No.4, 2011

             knowledge about condom use during sexual intercourse as a possible means to avoid HIV/AIDS on the
             use contraceptive and condom evident (Model 3 and 6, Table 5). The likelihood of using contraceptive
             and condom were found to be higher among unmarried men who knew condom use during sexual
             intercourse as a possible means to avoid HIV/AIDS, irrespective of their educational level than the
             uneducated men who did not knew condom as a possible means to avoid HIV/AIDS (p<0.01).
             Table 4: Logistic regression (Odds ratio) for the use of contraceptive and condom, India, NFHS-3
               (2005-06): Assessment of the education and know any ways to avoid HIV/AIDS, heard about
                                   STDs and condom use as a means to avoid HIV/AIDS.
                                                                          Contraceptive use                            Condom use
Interaction variables                                             Model-1      Model-2 Model-3               Model-4    Model-5 Model-6
                                                                  Exp (β)      Exp (β)    Exp (β)            Exp (β)    Exp (β)   Exp (β)
Education x Knowledge about HIV/AIDS
No Education-did not know about HIV/AIDS®                            1.00                                    1.00
No education-knew about HIV/AIDS                                     1.585                                   1.487
Primary-did not know about HIV/AIDS                                  0.897                                   0.737
Primary-knew about HIV/AIDS                                          1.581*                                  1.265*
Secondary-did not know about HIV/AIDS                                1.171**                                 1.042**
Secondary-knew about HIV/AIDS                                        2.068**                                 1.774**
Higher-did not know about HIV/AIDS                                   1.976**                                 1.773**
Higher-knew about HIV/AIDS                                           2.041**                                 1.420**
Education x Aware about STDs
No education-do not aware about STDs®                                               1.00                                  1.00
No education- aware about STDs                                                      3.924**                               4.835**
Primary-do not aware about STDs                                                     2.592                                 0.931
Primary- aware about STDs                                                           3.933**                               4.027**
Secondary-do not aware about STDs                                                   1.437**                               2.048**
Secondary- aware about STDs                                                         5.574**                               6.153**
Higher-do not aware about STDs                                                      5.961**                               6.598**
Higher- aware about STDs                                                            6.214**                               6.630**
Education x Knew condom use during sexual intercourse
as a means of avoid AIDS
No education-did not know condom use to avoid HIV/AIDS®                                        1.00                                    1.00
No education-knew condom use to avoid HIV/AIDS                                                 3.844***                                3.971***
Primary-did not know condom use to avoid HIV/AIDS                                              1.424                                   1.146
Primary-knew condom use to avoid HIV/AIDS                                                      2.485**                                 1.995**
Secondary-did not know condom use to avoid HIV/AIDS                                            1.773**                                 1.719**
Secondary-knew condom use to avoid HIV/AIDS                                                    3.125***                                2.983***
Higher-did not know condom use to avoid HIV/AIDS                                               2.025***                                1.929***
Higher-knew condom use to avoid HIV/AIDS                                                       3.234***                                2.904***
-2 log likelihood                                                    2205.32        2314.69    2288.38       2028.95 2052.32           2092.43
Note: Level of significance: * p < 0.10 ** p < 0.05 *** p < 0.01 ® Reference category
Model 1 and 4: Education x Knowledge about HIV/AIDS; Model 2 and 5: Education x Heard about STDs.
Model 6: Education x Knowledge about condom use during sexual intercourse as a means to avoid HIV/AIDS
All the estimates adjusted by age, place of residence, mass media exposure, work status, household structure, religion, caste, wealth index,
age at the first sexual intercourse, total lifetime number of sexual partner and alcohol consumption.


             4. Conclusion
             The present study examines the association between education and contraceptive as well as condom
             use among unmarried men who have experienced last sexual intercourse in the four weeks preceding
             the survey date. The study has used data from the Indian National Family Health Survey (INFHS)
             conducted during 2005-06. The present study findings highlight the importance of education in
             delaying sexual initiation before marriage. This finding is consistent with other studies elsewhere
             documented late sexual initiation among educated young unmarried men compared to uneducated men
             (Alexender et al., 2007; Gupta, 2000). Previous studies acknowledged that education has a positive
             effect on contraceptive and condom use among unmarried men (Zambuko & Mturi, 2005), however the
             present study found that the extent of contraceptive and condom use among unmarried men varying by
             educational level. The three selected awareness indicators i.e., knowledge about HIV/AIDS, aware
             about STDs and knowledge about condom use during sexual intercourse as a possible means to avoid
             HIV/AIDS observed measurable effect on contraceptive and condom use among sexually experienced
             unmarried men. However, this finding is not consistent with other studies where they found


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Research on Humanities and Social Sciences                                             www.iiste.org
ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
Vol.1, No.4, 2011

inconsistent relationship between knowledge about sexual related issues and safe sex practices
(Abraham & Kumar, 1998; Marston et al., 2004).
In this study, first time interaction effect between two key variables (education and awareness),
highlighted by several studies have incorporated. This provides some of the key explanations for safe
sexual practices among unmarried men in India. The impact of higher education on contraceptive and
condom use is evident. Even those higher educated men who did not know about HIV/AIDS, did not
aware about STDs and did not know condom use during sexual intercourse as a possible means to
avoid HIV/AIDS, the odds of using contraceptive and condom was significantly higher compared to
uneducated men who did not know about all three awareness indicators. This could be because
education helps to develop communication skill, self-identity, self-esteem and aspirations which protect
young people from the risky sexual behavior (Chilman, 1983; Arowojolu et al., 2002). On the other
hand finding shows that contraceptive and condom use were higher among uneducated men who were
aware about STDs and condom use during sexual intercourse as a possible means to avoid HIV/AIDS
compared to uneducated men who did not have the knowledge about STDs and condom use during
sexual intercourse as a possible means to avoid HIV/AIDS. This confirms the notion that combination
of information and awareness could increase the acceptance of safe sexual practices even among
uneducated men.
In India where introducing sex education is still a controversial issue and increasing expectations from
the existing education system to encourage safe sexual practices among young people is very high. The
finding of this study could help policy makers and public health experts to focus on the combination of
education × awareness approach which may lead unmarried men more likely to adopt safe sexual
practices. The present study takes an initial step towards bridging the evidence from three key
components of research- education, awareness and pre-marital sexuality- and tried to explore possible
impact of education and awareness combination which could be more acceptable way for achieving
safe sexual practices among unmarried men particularly in the country with relatively traditional
society like India.


References
Abraham, L. & Kumar, K.A. (1999). Sexual experiences and their correlates among college students in
Mumbai City, India. International Family Planning Perspective 25(3), 139-146.
Alexender, M. Garada, L.K., & Jejeebhoy, S. (2007). Correlates of premarital relationships among
unmarried youth in Pune district, Maharashtra, India. International Family Planning Perspectives
33(4), 150-159.
Amazigo, U. Silva, N. Kaufman, J. & Obikeze, D.S. (1997). Sexual activity and contraceptive
knowledge and use among in-school adolescents in Nigeria. International Family Planning Perspective
23(1), 28-33.
Arowojolu, A.O. Ilesanmi, A.O. Roberts, O.A. & Okunola, M.A. (2002). Sexuality, contraceptive
choice and AIDS awareness among Nigerian undergraduates. African Journal of Reproductive Health
6(2), 60-70.
Awasthi, S. Nichter, M. & Pande, V.K. (2000). Developing an interactive STD prevention programme
for youth: Lessons from a north Indian slum. Studies in Family Planning 31(2), 130-150.
Brahme, R.G. Sahay. S. Malhotra. K.R. Divekar. A.D. Gangakhedkar. R.R. Parkhe, A.P. Kharat,
M.P. Risbud, A.R. Bollinger, R.C. Mehendale, S.M. & Paranjape, R.S. (2005). High-risk behaviour in
young men attending sexually transmitted disease clinics in Pune India. AIDS Care 17(3), 377-385.
Chilman, C.S. (1983). Adolescent sexuality in a changing American society: social and psychological
perspectives for the human services professions. 2nd ed. New York, NY: John Wiley & Sons.
Cicely, M. Fatima, J. & Jose, A.I. (2004). Young, Unmarried Men and Sex: Do friends and Partners
Shape Risk Behavior? Culture, Health and Sexuality 6(5), 411-424.
Collumbien, M. Das, B. & Bohidar, N. (2001). Male sexual debut in Orissa, India: context, partners
and differentials. Asia-Pacific Population Journal 16(2), 211-224.




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Research on Humanities and Social Sciences                                             www.iiste.org
ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
Vol.1, No.4, 2011

Collumbien, M. Das, B. & Campbell, O.M.R. (2002). Why are Condoms Used and How Many are
Needed? Estimates from Orissa, India. International Family Planning Perspectives 27(4), 171-177.
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Ganguli, H. (1998). Behavior Research in Sexuality. Vikash Publication Pvt. Ltd. New Delhi.
Guiella, G. & Madise, N.J. (2007). HIV/AIDS and sexual-risk behavior among adolescents: Factors
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India. Social Science and Medicines 46(10), 1275-1290.
Khanna, G. & Kapoor, S. (2004). Secular trends in stature and age at menarche among Punjabi Aroras
residing in New Delhi, India. Collegium Anthropologicum 28(2), 571-585.
Marston, C. Juarez, F. & Izazola, J.A. (2004). Young, Unmarried Men and Sex: Do Friends and
Partners Shape Risk Behavior? Culture, Health & Sexuality 6(5), 411-424.
Potdar, R. & Koening, M.A. (2005). Does Audio-CASI improve reports of risky behavior? Evidence
from a randomized field trial among urban men in India. Studies in Family Planning 36(2), 107-116.
Sathe, A.G. (1994). Introduction of sex education in schools: Perceptions of Indian society. Journal of
Family Welfare 40(1), 30-37.
Singh, K.K. Bloom, S.S. & Tsui, A.O. (1998). Husbands reproductive health knowledge, attitudes, and
behavior in Uttar Pradesh, India. Studies in Family Planning 29(4), 388-399.
UNESCO (2005). The global initiative on HIV/AIDS and education. [Online] Available:
http://unesdoc.unesco.org/images/0013/001398/139831e.pdf (November 18, 2011)
World Bank (2002). Youth for good governance learning program: A distance learning governance
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in South Africa. Journal of Biosocial Sciences 37(5), 569-584.




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ISSN 2224-5766(Paper) ISSN 2225-0484(Online)
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About Authors
Mr. Prashant Kumar Singh. Doctoral Candidate at the International Institute for Population Sciences
(IIPS), Mumbai. He is engaged in social science research particularly in the area of maternal and child
health in South Asian countries.

Dr. Manoj Alagarajan. Assistant Professor at Department of Development Studies, International
Institute for Population Sciences (IIPS), Mumbai. The area of interest is on Fertility related issues,
family planning, maternal and child health and issues related to Population and Development.


Mr. Rajesh Kumar Singh. Research Associate at the Tata Institute of Social Sciences, Mumbai, India.
His current areas of interest have been maternal and child well-being, and evolutionary demography.

Ms. Lucky Singh. Doctoral Candidate at the International Institute for Population Sciences (IIPS),
Mumbai, India. Her major research areas are ageing and social network, reproductive and child health,
and adolescent’s health.




                                                    32
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11.a study of sexually experienced unmarried men in india

  • 1. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 Does Education Leads to Contraceptive Use? A Study of Sexually Experienced Unmarried Men in India Prashant Kumar Singh1* Manoj Alagarajan1 Rajesh Kumar Rai2 Lucky Singh3 1. International Institute for Population Sciences, Mumbai 400 088, India 2. Tata Institute of Social Sciences, Mumbai 400 088, India 3. International Institute for Population Sciences, Mumbai 400 088, India * E-mail of the corresponding author: prashants.geo@gmail.com Abstract The consequences of pre-marital sex have been the subject of common concern for the public health professionals and policy makers. In India, despite strict societal sanctions, the prevalence of pre-marital sex has been repeatedly documented across literatures. It is believed that existing education system could afford the responsibility to develop protective sexual behavior among unmarried youths. Using National Family Health Survey (2005-06) data, this study examines the effect of education on contraceptive and condom use among sexually experienced unmarried men. Results indicate that education has a positive effect on contraceptive as well as condom use. However the interaction effect of education and awareness on contraceptive and condom use provides the key explanations for safe sexual practices. The findings could help policy makers to focus on both education and awareness which might lead to improvement in safe sexual practices in India where introducing sex education is still a controversial issue. Keywords: Education, awareness, unmarried men, contraceptive and condom use, India 1. Introduction The socioeconomic and health implication of pre-marital sex remains the subject of common concern and discussion among researchers and policy makers (Ganguli, 1998). Several studies from developing countries have reported about premarital sexual relationship among young unmarried men and women (Guiella & Madise, 2007; Gage, 1998; Jejeeboy, 1998). Due to the risky sexual encounters, illegal and unsafe abortions are prevalent on staging scale in developing countries (Savara & Sridhar, 1992). Moreover, the spread of Reproductive Tract Infections (RTI), Sexually Transmitted Infections (STIs), Sexually Transmitted Diseases (STDs), and the imminent threat of HIV/AIDS epidemic in recent years have increased the consequences of premarital sex in the developing countries (Potdar & Koening, 2005). Traditionally, due to prevailing family and societal value system Indian men and women are not expected to have sexual relationship until marriage. However, despite strict societal sanctions pre- marital sex has reported in several studies (IIPS & Population Council, 2009; Alexender et al., 2007; Brahme et al., 2005; Collumbien et al., 2002; Singh et al., 1998). The increase in pre-marital sexual activities in India could be an outcome of several socio-behavioral changes in last few years. The average age at marriage for both men and women has been rising by one year per decade (IIPS, 2006), which widened the period between age of sexual maturity and marriage. Additionally, exposure towards western culture, mass media such as movies and literature has increased the commercial information about sex (Khanna & Kapoor, 2004). Studies also highlighted peer-related pressures as the important factor which could leads to change in sexual behavior among young women and men (Cicely et al., 2004). In this combined effect, young people could depart beyond the conservative behavior. In many developing countries including India, lack of contraceptive use, discontinuation and failure rates characterized the vast majority of sexual encounters among unmarried young people (Singh et al., 1998; Collumbien et al., 2001). Moreover, contraceptive use by unmarried young people is generally infrequent and irregular (Awasthi et al., 2000; Gupta, 2000; Abraham & Kumar, 1999; Amazigo et al., 1997). 23
  • 2. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 As far as the role of education is concerned, the UNESCO in collaboration of UNAIDS launched EDUCAIDS, the Global Initiative on Education and HIV/AIDS in 2004 (UNESCO, 2005). It seeks to promote, develop and support comprehensive education sector responses to HIV/AIDS at global level. Additionally, education helps to develop communication skill, self-esteem, aspirations and knowledge about HIV/AIDS and other precautions which help to protect from risky sexual encounters (World Bank, 2002; Chilman, 1983). In India, introducing sex education in schools and colleges is a very sensitive subject and a topic not to be discussed openly (Sathe, 1994). Thus, it is generally believed that existing education system could afford the responsibility to develop a protective behavior towards risky sexual practices among unmarried young people. As the young people are an integral part of civil society; it justifies the importance to study the sexual behavior and contraceptive use, especially the possible impact of education, in order to preserve the productivity of the nation in a better way. Since, past studies in India particularly looked on pre-marital sexual activity and its correlates among specific groups they may not be generalized at national level. Therefore, the present study attempts to explore the contraceptive and condom use separately by using large scale nationally representative dataset and try to look at the possible impact of education among sexually experienced unmarried men in India. 2. Data and Methods 2.1 Data The present study used data from the third round of National Family Health Survey (2005-06), covers various aspects of health across all states of India. The NFHS-3 is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The third wave of NFHS has first time interviewed men across the country and among them 28,238 were reported as unmarried at the time of survey. This study included only those unmarried men who had experienced sexual intercourse in last four weeks preceding the survey date to avoid recall bias. Thus, the present study restricts to 3,291 unmarried men for whom information was available on selected study variables. 2.2 Variables description The dependent variables used in this paper are contraceptive use which includes; intra-uterine-device (IUD), pills, injections, sterilization, periodic abstinence, and withdrawal methods. However, condom use has also separately analyzed. This study has analyzed contraceptive use separately to examine the extent of use by either sexual partner at the time of last sexual intercourse which has ignored by several previous studies. The independent variables are education (no education, primary, secondary and higher) place of residence (rural and urban), religion (Hindu, Muslim and Others), Caste (Schedules Castes/ Scheduled Tribes, Other Backward Castes, General and Other/Don’t know), wealth index (poorest, poorer, middle, richer and richest), household structure (nuclear and joint), mass media exposure (no and yes), know about HIV/AIDS (yes and no), aware about Sexual Transmitted Diseases (yes and no), know condom as a means to avoid AIDS (yes and no), work status (no and yes), age at first sexual intercourse (below 14, 15-19, 20-24, 25 and above), total lifetime number of sexual partner (1, 1-3, and 4+) and alcohol consumption (no and yes). 2.3 Analytical strategy Bivariate and multivariate analyses were performed to fulfill the study objectives. At first the gross differentials have examined to determine the use of contraceptive and condom among unmarried men at the time of last sexual encounter. It is worth mentioning, Chi-square test were performed to examine the difference in proportion in bivariate analyses. In order to observe the net effect, the study applied multivariate logistic regression analysis to explain the variation in the use of contraceptive and condom. Further, for each outcome variable, sets of different models were carried out to examine the unadjusted and adjusted effects of ‘education’ on aforementioned outcome variable. 3. Results 3.1 Profile of the sample 24
  • 3. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 The utilisation rate of machines in a period of time, Ut, can be calculated as the total processing time, tpro, Table 1 represents the weighted percentage distribution of unmarried men experienced sexual intercourse by selected background characteristics. Majority of unmarried men experienced sexual intercourse had completed secondary education level (63%). About 67% and 94% men have knew about HIV/AIDS and aware about STDs respectively. Nearly half of the sexually experienced men did not know condom use during sexual intercourse as a possible way to avoid HIV/AIDS. Majority of unmarried men lived in rural areas (61%) and belonged to Hindu religion (80%). About one third were from the Other Backward Caste and 23% belonged to richest wealth quintile. Nearly 57% belonged to joint family and 85% was working. Over half of the unmarried men experienced first sex in the age group 15-19 years and about 29% had 2-3 lifetime numbers of sexual partners. About 48% unmarried men have consumed alcohol. Table 1: Percentage distribution of sexually active unmarried men by selected background characteristics, India, NFHS-3 (2005-06) Selected variables % n Selected variables % n Education Wealth Index No Education 10.7 351 Poorest 12.9 425 Primary 13.8 454 Poorer 18.8 619 Secondary 63.0 2074 Middle 20.9 688 Higher 12.5 412 Richer 24.0 790 Knowledge about HIV/AIDS Richest 23.4 769 No 33.0 1081 Household structure Yes 67.0 2070 Nuclear 42.7 1342 Aware about STDs Joint 57.3 1798 No 5.7 188 Mass Media Exposure Yes 94.3 3103 No 2.1 69 Knowledge about condom use to avoid HIV/AIDS Any 97.9 3222 No 50.1 1650 Work Status Yes 49.9 1641 Not working 15.0 493 Residence Working 85.0 1795 Rural 61.4 2020 Age at first sexual intercourse Urban 38.6 1271 below 14 11.0 363 Religion 15-19 52.7 1735 Hindu 80.1 2636 20-24 28.8 946 Muslim 11.5 377 25 above 7.5 246 Total lifetime number of sexual Others 8.4 278 partners Caste 1 57.4 1889 SC/ST 31.2 1027 2-3 28.5 938 OBC 34.1 1123 4+ 14.1 464 General 32.2 1142 Drink alcohol No 52.3 1720 Yes 47.7 1571 Total number of respondents 3291 3.2 Bivariate analysis Contraceptive and condom use among sexually experienced unmarried men by background characteristics is presented in Table 2. Overall, 27% and 23% unmarried men have used contraceptive and condom at the time of last sexual intercourse respectively. The bivariate association suggests that contraceptive (34%) and condom (29%) use were more among higher educated men. Nearly, 31% and 26% men used contraceptive and condom respectively who knew about HIV/AIDS. The use of condom was 23% among unmarried men who were aware about STDs. Similarly, contraceptive (32%) and condom (27%) use were higher among unmarried men who knew condom use during sexual intercourse as a possible way to avoid HIV/AIDS respectively. The use of contraceptive and condom were more in urban unmarried men than the rural counterpart. Unmarried men belonged to other religion were 38% and 32% used contraceptive and condom respectively. Scheduled Castes/Scheduled Tribes men were reported more contraceptive (36%) and condom (31%) use then the other castes groups. The use of contraceptive and condom among unmarried men from poorest wealth quintile were 18% and 11% respectively. The use of contraceptive and condom among unmarried men were 25
  • 4. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 increasing with the increase in the lifetime number of sexual partners. Unmarried men who consumed alcohol were reported lower contraceptive (23%) and condom use (19%). Table 2: Percentage of sexually active unmarried men using contraceptive and condom use at last sex by selected background characteristics, India, NFHS-3 (2005-06) Contraceptive Condom Contraceptive Condom Selected variables Selected variables use use use use Education (38.86***) (48.81***) Household structure ns ns No Education 17.4 12.2 Nuclear 27.0 22.7 Primary 21.4 15.3 Joint 27.3 22.6 Secondary 28.4 24.4 Wealth Index (133.43***) (173.59***) Higher 34.2 29.1 Poorest 17.6 11.4 Knowledge about HIV/AIDS (32.80***) (30.83***) Poorer 22.0 14.4 No 21.0 17.1 Middle 18.5 15.4 Yes 30.8 26.3 Richer 29.2 24.9 Aware about STDs 9.93*** 20.63*** Richest 41.2 38.1 No 17.0 8.2 Mass Media Exposure ns ns Yes 27.5 23.2 No 26.0 13.6 Know condom during sexual (34.63***) (34.43***) Yes 27.1 22.5 intercourse use to avoid HIV/AIDS No 22.4 18.0 Work Status ns ns Yes 32.0 26.8 Not working 27.8 23.4 Residence (56.26***) (88.43***) Working 26.7 22.1 Age at first sexual Rural 22.3 16.7 intercourse (36.65***) (31.498***) Urban 34.2 31.1 below 14 17.6 14.1 Religion (22.61***) (18.67***) 15-19 26.5 21.8 Hindu 25.3 20.9 20-24 32.7 27.8 Muslim 30.4 25.7 25 above 21.1 18.1 Total lifetime number of Others 37.8 31.9 sexual partners (100.53***) (88.93***) Caste (66.80***) (71.26***) 1 21.7 18.0 SC/ST 35.6 31.3 2-3 28.9 23.1 OBC 23.6 19.0 4+ 44.4 39.2 General 21.2 16.8 Drink alcohol (22.12***) (27.12***) No 30.7 26.4 Yes 23.4 18.6 Total 26.9 22.3 Note: χ2test applied for each variable; #significant at 0.01 level,*significant at 0.05 level; ns: not significant; NA: Not applicable 3.3 Multivariate analysis The bivariate analysis clearly suggests that along with education, other background characteristics have also an effect on contraceptive and condom use among unmarried men. To examine the adjusted effect of education on two outcome variables, multivariate analysis was carried out and the results are presented in Table 3. Model 1 shows that the use of contraceptive was found to be more likely among secondary (OR=1.646) and higher (OR=1.780) educated men than the uneducated men (p<0.01). Similarly, the odds of using condom use was also more likely among secondary (OR=1.465; p<0.01) and higher (OR=1.621, p<0.01) educated men than the uneducated men (Model 4). Model 2 shows that, after including knowledge of HIV/AIDS along with education and other selected background characteristics, the likelihood of contraceptive use were found to be more among men who knew about HIV/AIDS than there counterpart (OR=1.796, p<0.01). However, education did not show any significant impact on contraceptive and condom use. Muslim religion were found to be significantly and negatively associated with the contraceptive use. Wealth quintile and age at first sexual intercourse was significantly and positively associated with the use of contraception among unmarried men. The impact of education reduces in model 3, where aware about STDs was included along with all variables used in model 2. The odds of using contraceptive was high among men who were aware about STDs (OR=1.858; p<0.01) than those men who did not aware about STDs. Again variables which showed 26
  • 5. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 significant association with contraceptive use in model 2 were also found to be significantly associated in model 3. Table 3: Logistic regression (Odds ratio) for assessing the likelihood for use of contraceptive and condom by education and selected variables, India, NFHS-3 (2005-06) Contraceptive use Condom use Selected Covariates Model-1 Model-2 Model-3 Model-4 Model-5 Model-6 Model-7 Exp (β) Exp (β) Exp (β) Exp (β) Exp (β) Exp (β) Exp (β) Education No Education® Primary 1.172 0.943 1.075 0.953 0.782 0.847 0.77 Secondary 1.646** 1.257 1.419* 1.465** 1.131 1.291 1.107 Higher 1.780** 1.212 1.527* 1.621** 1.110 1.382 1.097 Knowledge about HIV/AIDS No® Yes 1.796*** 1.520** 1.701*** 1.621*** 1.298* Aware about STDs No® Yes 1.858*** 1.747*** 1.589* Know condom during sexual intercourse use to avoid HIV/AIDS No® Yes 1.526** 1.420*** Residence Rural® Urban 1.228* 1.169 1.221 1.300** 1.251* 1.286** 1.240* Religion Hindu® Muslim 0.608*** 0.596*** 0.599*** 0.602** 0.583*** 0.589*** 0.492*** Others 1.017 1.083 1.009 0.985 1.038 1.023 1.04 Caste SC/ST® OBC 0.676*** 0.708** 0.687** 0.987** 0.709** 0.704** 0.720*** General 0.668** 0.688** 0.682** 0.983** 0.709** 0.689** 0.711*** Wealth Index Poorest® Poorer 1.183 1.117 1.114 1.180 1.126 1.102 1.14 Middle 1.244 1.06 1.146 1.629* 1.418 1.482 1.449 Richer 2.007*** 1.721** 1.832** 2.593*** 2.282*** 2.329*** 2.320*** Richest 2.840*** 2.561*** 2.587*** 3.847*** 3.503*** 3.463*** 3.615*** Household structure Nuclear® Joint 0.927 0.934 0.944 0.888 0.902 0.9 0.907 Mass Media Exposure No® Yes 1.292 1.365 1.142 1.034 1.094 0.884 1.082 Work Status Not working® Working 1.05 1.068 1.053 1.023 1.045 1.023 1.06 Age at first sexual intercourse below 14® 15-19 1.29 1.258 1.26 1.306 1.266 1.275 1.267 20-24 1.682** 1.587** 1.639** 1.672** 1.541* 1.642* 1.556** 25 above 1.353 1.368 1.32 1.304 1.286 1.277 1.27 Total lifetime number of sexual partners 1® 2-3 1.055 1.056 1.049 1.003 1.005 0.944 1.016 27
  • 6. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 4+ 1.351** 1.395** 1.316** 1.277 1.296* 1.247 1.301** Table 1 continued Drink alcohol No® Yes 0.987 0.963 0.994 1.069 1.051 1.074 1.047 -2 log likelihood 2326.957 2205.772 2114.629 2125.190 2029.406 2010.737 2004.491 Note: Level of significance: * p < 0.10 ** p < 0.05 *** p < 0.01 ® Reference category Model 1and 4: Only education with other selected background variables and excluding knowledge variable. Model 2and 5: Education + knowledge about HIV/AIDS. Model 3and 6: Education + heard about STDs Model 4: Education + knowledge about condom as a means to avoid HIV/AIDS Model 7: Education + know condom use during sexual intercourse as a way to avoid HIV/AIDS No significant effect of education on condom use was evident when the knowledge about HIV/AIDS variable was included in model 5. The odds of condom use were more likely among men who knew about HIV/AIDS than their counterpart (OR=1.701; p<0.01). Muslim men were less likely to use condom than the men belonged to Hindu religion (OR=0.589; p<0.01). The odds of using contraceptive was higher among wealthier men compared with men belonged to poorest wealth quintile (OR=2.587; p<0.01). A similar association was observed in model 6 when aware about STDs was included along with other background variables. The odds of condom use was more likely among those men who have aware about STDs than those who did not aware (OR=1.747; p<0.01). However, the impact of education on condom use remains insignificant. Place of residence and wealth status found to be significant and positively associated with the condom use. The last model (Model 7), shows significant effect of two knowledge related variables (knowledge about HIV/AIDS and aware about STDs) along with the one additional variables namely, knew condom use during sexual intercourse as a possible way to avoid HIV/AIDS. The odds of condom use were found to be high among unmarried men who knew condom use during sexual intercourse as a possible means to avoid HIV/AIDS, than their counterpart (OR=1.420, p<0.01). Unmarried men belonged to Muslim religion; Other Backward Castes and General Castes found to be significantly and negatively associated with the condom use during last sex. However, wealth status, age at first sexual intercourse and number of lifetime sexual partner were positively associated with the use of condom among unmarried men. 3.4 Interaction effect analysis: multivariate technique Results from multivariate analyses have shown mixed effect of education and awareness on contraceptive and condom use among men. Therefore, to understand the possible impact of educational on the use of contraceptive and condom, the interaction effect is customarily assessed in the analysis of variance using sums of square for the interaction terms in Table 5. In this paper, new variables representing combinations of education and other awareness variables like, aware about STDs, know about HIV/AIDS and know condom use during sexual intercourse as a possible mean to avoid HIV/AIDS have created. The other background variables remain similar in the multivariate analysis. It is worthwhile to mention that only one interaction could be examined at a time. Inclusion of two interaction variables in a single analysis brings in multi-colinearity effect. The result from interaction effect demonstrated interesting observations regarding the combination of education and knowledge of HIV/AIDS on contraceptive and condom use by unmarried men (model 1 and 4, table 5). The use of contraceptive and condom were positively associated with the increase in education and knowledge about HIV/AIDS. The odds of using contraceptive and condom use were two, and one and half times more likely among higher educated men who knew about HIV/AIDS respectively, compared with men who were uneducated and did not aware of HIV/AIDS (p<0.05). Similarly, the interaction effect between education and aware about STDs has shown positive effect on contraceptive and condom use (model 2 and 5, table 5). The likelihood of using contraceptive (OR=6.214, p<0.01) and condom (OR=6.630, p<0.01) were higher among those men who have higher education and aware of STDs than to those who were uneducated and did not aware about STDs. Interestingly, the likelihood of using contraceptive and condom were found to be high even among those men who were uneducated but aware about STDs (OR=3.924; p<0.01), compared with men who were uneducated and did not aware about STDs. A strong interaction effect between education × 28
  • 7. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 knowledge about condom use during sexual intercourse as a possible means to avoid HIV/AIDS on the use contraceptive and condom evident (Model 3 and 6, Table 5). The likelihood of using contraceptive and condom were found to be higher among unmarried men who knew condom use during sexual intercourse as a possible means to avoid HIV/AIDS, irrespective of their educational level than the uneducated men who did not knew condom as a possible means to avoid HIV/AIDS (p<0.01). Table 4: Logistic regression (Odds ratio) for the use of contraceptive and condom, India, NFHS-3 (2005-06): Assessment of the education and know any ways to avoid HIV/AIDS, heard about STDs and condom use as a means to avoid HIV/AIDS. Contraceptive use Condom use Interaction variables Model-1 Model-2 Model-3 Model-4 Model-5 Model-6 Exp (β) Exp (β) Exp (β) Exp (β) Exp (β) Exp (β) Education x Knowledge about HIV/AIDS No Education-did not know about HIV/AIDS® 1.00 1.00 No education-knew about HIV/AIDS 1.585 1.487 Primary-did not know about HIV/AIDS 0.897 0.737 Primary-knew about HIV/AIDS 1.581* 1.265* Secondary-did not know about HIV/AIDS 1.171** 1.042** Secondary-knew about HIV/AIDS 2.068** 1.774** Higher-did not know about HIV/AIDS 1.976** 1.773** Higher-knew about HIV/AIDS 2.041** 1.420** Education x Aware about STDs No education-do not aware about STDs® 1.00 1.00 No education- aware about STDs 3.924** 4.835** Primary-do not aware about STDs 2.592 0.931 Primary- aware about STDs 3.933** 4.027** Secondary-do not aware about STDs 1.437** 2.048** Secondary- aware about STDs 5.574** 6.153** Higher-do not aware about STDs 5.961** 6.598** Higher- aware about STDs 6.214** 6.630** Education x Knew condom use during sexual intercourse as a means of avoid AIDS No education-did not know condom use to avoid HIV/AIDS® 1.00 1.00 No education-knew condom use to avoid HIV/AIDS 3.844*** 3.971*** Primary-did not know condom use to avoid HIV/AIDS 1.424 1.146 Primary-knew condom use to avoid HIV/AIDS 2.485** 1.995** Secondary-did not know condom use to avoid HIV/AIDS 1.773** 1.719** Secondary-knew condom use to avoid HIV/AIDS 3.125*** 2.983*** Higher-did not know condom use to avoid HIV/AIDS 2.025*** 1.929*** Higher-knew condom use to avoid HIV/AIDS 3.234*** 2.904*** -2 log likelihood 2205.32 2314.69 2288.38 2028.95 2052.32 2092.43 Note: Level of significance: * p < 0.10 ** p < 0.05 *** p < 0.01 ® Reference category Model 1 and 4: Education x Knowledge about HIV/AIDS; Model 2 and 5: Education x Heard about STDs. Model 6: Education x Knowledge about condom use during sexual intercourse as a means to avoid HIV/AIDS All the estimates adjusted by age, place of residence, mass media exposure, work status, household structure, religion, caste, wealth index, age at the first sexual intercourse, total lifetime number of sexual partner and alcohol consumption. 4. Conclusion The present study examines the association between education and contraceptive as well as condom use among unmarried men who have experienced last sexual intercourse in the four weeks preceding the survey date. The study has used data from the Indian National Family Health Survey (INFHS) conducted during 2005-06. The present study findings highlight the importance of education in delaying sexual initiation before marriage. This finding is consistent with other studies elsewhere documented late sexual initiation among educated young unmarried men compared to uneducated men (Alexender et al., 2007; Gupta, 2000). Previous studies acknowledged that education has a positive effect on contraceptive and condom use among unmarried men (Zambuko & Mturi, 2005), however the present study found that the extent of contraceptive and condom use among unmarried men varying by educational level. The three selected awareness indicators i.e., knowledge about HIV/AIDS, aware about STDs and knowledge about condom use during sexual intercourse as a possible means to avoid HIV/AIDS observed measurable effect on contraceptive and condom use among sexually experienced unmarried men. However, this finding is not consistent with other studies where they found 29
  • 8. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 inconsistent relationship between knowledge about sexual related issues and safe sex practices (Abraham & Kumar, 1998; Marston et al., 2004). In this study, first time interaction effect between two key variables (education and awareness), highlighted by several studies have incorporated. This provides some of the key explanations for safe sexual practices among unmarried men in India. The impact of higher education on contraceptive and condom use is evident. Even those higher educated men who did not know about HIV/AIDS, did not aware about STDs and did not know condom use during sexual intercourse as a possible means to avoid HIV/AIDS, the odds of using contraceptive and condom was significantly higher compared to uneducated men who did not know about all three awareness indicators. This could be because education helps to develop communication skill, self-identity, self-esteem and aspirations which protect young people from the risky sexual behavior (Chilman, 1983; Arowojolu et al., 2002). On the other hand finding shows that contraceptive and condom use were higher among uneducated men who were aware about STDs and condom use during sexual intercourse as a possible means to avoid HIV/AIDS compared to uneducated men who did not have the knowledge about STDs and condom use during sexual intercourse as a possible means to avoid HIV/AIDS. This confirms the notion that combination of information and awareness could increase the acceptance of safe sexual practices even among uneducated men. In India where introducing sex education is still a controversial issue and increasing expectations from the existing education system to encourage safe sexual practices among young people is very high. The finding of this study could help policy makers and public health experts to focus on the combination of education × awareness approach which may lead unmarried men more likely to adopt safe sexual practices. The present study takes an initial step towards bridging the evidence from three key components of research- education, awareness and pre-marital sexuality- and tried to explore possible impact of education and awareness combination which could be more acceptable way for achieving safe sexual practices among unmarried men particularly in the country with relatively traditional society like India. References Abraham, L. & Kumar, K.A. (1999). Sexual experiences and their correlates among college students in Mumbai City, India. International Family Planning Perspective 25(3), 139-146. Alexender, M. Garada, L.K., & Jejeebhoy, S. (2007). Correlates of premarital relationships among unmarried youth in Pune district, Maharashtra, India. International Family Planning Perspectives 33(4), 150-159. Amazigo, U. Silva, N. Kaufman, J. & Obikeze, D.S. (1997). Sexual activity and contraceptive knowledge and use among in-school adolescents in Nigeria. International Family Planning Perspective 23(1), 28-33. Arowojolu, A.O. Ilesanmi, A.O. Roberts, O.A. & Okunola, M.A. (2002). Sexuality, contraceptive choice and AIDS awareness among Nigerian undergraduates. African Journal of Reproductive Health 6(2), 60-70. Awasthi, S. Nichter, M. & Pande, V.K. (2000). Developing an interactive STD prevention programme for youth: Lessons from a north Indian slum. Studies in Family Planning 31(2), 130-150. Brahme, R.G. Sahay. S. Malhotra. K.R. Divekar. A.D. Gangakhedkar. R.R. Parkhe, A.P. Kharat, M.P. Risbud, A.R. Bollinger, R.C. Mehendale, S.M. & Paranjape, R.S. (2005). High-risk behaviour in young men attending sexually transmitted disease clinics in Pune India. AIDS Care 17(3), 377-385. Chilman, C.S. (1983). Adolescent sexuality in a changing American society: social and psychological perspectives for the human services professions. 2nd ed. New York, NY: John Wiley & Sons. Cicely, M. Fatima, J. & Jose, A.I. (2004). Young, Unmarried Men and Sex: Do friends and Partners Shape Risk Behavior? Culture, Health and Sexuality 6(5), 411-424. Collumbien, M. Das, B. & Bohidar, N. (2001). Male sexual debut in Orissa, India: context, partners and differentials. Asia-Pacific Population Journal 16(2), 211-224. 30
  • 9. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 Collumbien, M. Das, B. & Campbell, O.M.R. (2002). Why are Condoms Used and How Many are Needed? Estimates from Orissa, India. International Family Planning Perspectives 27(4), 171-177. Savara, M. & Sridhar, C.R. (1992). Sexual behaviour of urban, educated Indian men: results of a survey. Journal of Family Planning 38(1), 30-43. Gage, A.J. (1998). Sexual activity and contraceptive use: The components of the decision making process. Studies in Family Planning 29(2), 154-166. Ganguli, H. (1998). Behavior Research in Sexuality. Vikash Publication Pvt. Ltd. New Delhi. Guiella, G. & Madise, N.J. (2007). HIV/AIDS and sexual-risk behavior among adolescents: Factors influencing the use of condom in Burkina Faso. Africa Journal of Reproductive Health 11(3), 182-196. Gupta, N. (2000). Sexual initiation and contraceptive use among adolescent women in Northeast Brazil. Studies in Family Planning 31(3), 228-38. International Institute For Population Sciences and Population Council (2009). Youth in India: Situation and Needs Study, 2006-07. Mumbai, India. International Institute For Population Sciences (2006). National Family Health Survey (NFHS -3), 2005-06. India. Mumbai, India Jejeeboy, S.J. (1998). Adolescents sexual and reproductive behavior-A review of the evidences from India. Social Science and Medicines 46(10), 1275-1290. Khanna, G. & Kapoor, S. (2004). Secular trends in stature and age at menarche among Punjabi Aroras residing in New Delhi, India. Collegium Anthropologicum 28(2), 571-585. Marston, C. Juarez, F. & Izazola, J.A. (2004). Young, Unmarried Men and Sex: Do Friends and Partners Shape Risk Behavior? Culture, Health & Sexuality 6(5), 411-424. Potdar, R. & Koening, M.A. (2005). Does Audio-CASI improve reports of risky behavior? Evidence from a randomized field trial among urban men in India. Studies in Family Planning 36(2), 107-116. Sathe, A.G. (1994). Introduction of sex education in schools: Perceptions of Indian society. Journal of Family Welfare 40(1), 30-37. Singh, K.K. Bloom, S.S. & Tsui, A.O. (1998). Husbands reproductive health knowledge, attitudes, and behavior in Uttar Pradesh, India. Studies in Family Planning 29(4), 388-399. UNESCO (2005). The global initiative on HIV/AIDS and education. [Online] Available: http://unesdoc.unesco.org/images/0013/001398/139831e.pdf (November 18, 2011) World Bank (2002). Youth for good governance learning program: A distance learning governance program for youth. [Online] Available: http://www.worldbank.org/wbi/govenence/youth/youthgovbrochure.pdf (November 26, 2011) Zambuko, O. & Mturi, A.J. (2005). Sexual Risk Behaviour among the Youth in the Era of HIV/AIDS in South Africa. Journal of Biosocial Sciences 37(5), 569-584. 31
  • 10. Research on Humanities and Social Sciences www.iiste.org ISSN 2224-5766(Paper) ISSN 2225-0484(Online) Vol.1, No.4, 2011 About Authors Mr. Prashant Kumar Singh. Doctoral Candidate at the International Institute for Population Sciences (IIPS), Mumbai. He is engaged in social science research particularly in the area of maternal and child health in South Asian countries. Dr. Manoj Alagarajan. Assistant Professor at Department of Development Studies, International Institute for Population Sciences (IIPS), Mumbai. The area of interest is on Fertility related issues, family planning, maternal and child health and issues related to Population and Development. Mr. Rajesh Kumar Singh. Research Associate at the Tata Institute of Social Sciences, Mumbai, India. His current areas of interest have been maternal and child well-being, and evolutionary demography. Ms. Lucky Singh. Doctoral Candidate at the International Institute for Population Sciences (IIPS), Mumbai, India. Her major research areas are ageing and social network, reproductive and child health, and adolescent’s health. 32
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