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BY
MUKESH MISHRA
The outspread bulge of youth population in
global demographic composition is
demanding cautious attention to focus on
behaviours of youth population than ever
before.
The wide spread use of contraception is
claimed to have increased premarital and
extra-marital sexual relationships.
The increasing age at marriage, contrasting to
early marriage in the past, has increased the
age at first sexual intercourse among the
youths in many countries of the world, if not
premarital sexual activities considered.
Youths' experiences of sexual practices are
diverse and depend on many factors including
one's sex, place of residence, socio-cultural
context, economic circumstances and marital
status (UNFPA, 2005).
In many developing countries where age at
marriage is considerably lower, youths are more
likely to experience sexual activities within in
marital union (Bruce, 2002) than pre-marital
union. But with the increase in the age at
marriage, the pattern and practices of sexual
activities among youths have considerably been
changing.
Worldwide, a large majority of sexually
experienced males aged 15-19 are unmarried
compared to two-thirds or more sexually
experienced females of the same age group are
married.
• Alike the global demographic composition, youth
population (15-24 years) comprises the highest proportion
(19.38%) ever in the demographic history of Nepal (Aryal
and Adhikari, 2003).
• Sexual activity in Nepal within married youths is common
(MoH, New ERA and ORC Macro, 2002); whilst premarital
sexual activity is gaining momentum (Pradhan and
Strachan, 2003). The relatively lower age at marriage of
girls compared to boys indicate most of the girls practice
sexual activity within the marital union whereas the
proportion of boys practicing sexual activity outside the
marital union, particularly premarital sex, is noticeably
increasing since last few years.
• Sexual activity in Nepali youths is, by and
large, explained by the socio-cultural and
economic dimensions. The DHS 2006 confirms
sexual behaviours of Nepali youths vary across
the social, economic, cultural, ecological and
urban-rural sub-groups.
• Sexual behaviours of Nepali youths are less
explored and documented. The DHS 2006
provides a few elaborated sexual behaviours
of youths for the first time.
• The median age at marriage and age at first sexual
intercourse for female is almost same in Nepal which
indicates that majority of females practice sexual activities
in marital union. But, in contrast, the age at first sexual
intercourse to males was nearly lower by one year than
median age at marriage admitting that the premarital
sexual activities are taking places (MoH, New ERA and ORC
Macro, 2002 and 2007).
• Not only, the proportion of youths involved in premarital
sexual activity is increasing, they are equally practicing risky
sexual activities.
• Only 5.3 per cent women of age group 15-24 who have
ever had sexual intercourse admitted to have used condom
in the first sexual intercourse but the corresponding figure
is higher for men, 25.7 per cent(MoH, New ERA , 2007).
• This paper attempts to explore the factors that
determine sexual behaviours of youths
concentrating on age at entry into sexual union.
• Affects of background characteristics - place of
residence, household income, level of education,
ecological zone and caste/ethnicity - of youths on
age at entry into sexual union are explored to
verify against the hypothesis that background
characteristics affect sexual behaviours of youths.
• The study is concentrated to discover the determinants
of age at first sexual intercourse among the Nepali
youths. Youth population is defined as the population in
the age group 15-24.
• Data from Nepal Demographic and Health Survey
(NDHS) 2006 are used for this analysis. The NDHS 2006
provides more disaggregated information on sexual
behaviour of youths for the first time.
• The sample population included in the study, comprises
4,431 women aged 15-24 and 2,916 women aged 18-24
whereas the corresponding sample for men is 1,573 for
age group 15-24 and 985 for age group 18-24.
 For making the analysis comparable and traceable, two
categories of age classification - 15 years and 18 years have
been used.
Based on these two groups (four categories) are formed –
i) Having sexual relationship earlier than or at 15 or 18 years
of age (coded as '1')
ii) Not having sexual relationship earlier than 15 or 18 years
of age (coded as '0'), hence, forming a dichotomous
dependent variable.
 The reasons for using 15 and 18 as classifying year are i)
age 15 is used to measure the probability of having sex at
early age or pre-reproductive age, ii) age 18 is the legal age
of marriage for both sexes with the consent of parents in
Nepal.
 Background characteristics of individuals - sex,
place of residence, level of education, ecological
region of origin, caste/ethnicity and wealth index
are considered as independent variables based on
the results produced by NDHS 2006.
 Age at first sexual intercourse is hypothesized to be
influenced by sex of individual, place of residence
(rural-urban), level of education (illiterate - SLC and
above), ecological region of enumeration
(Mountain, Hill and Tarai), caste/ethnicity (Hill
Hindu, Tarai Hindu, Janjatis/Nationalities, Newar,
Muslim and Dalits/untouchables), and wealth index
(Lowest-Highest quintile).
• Having classified the dependent variable in
dichotomous form, binary logistic regression is
the appropriate model to identify the relative
risk of having had or not having had sex earlier
than or at age 15 or 18 years.
• Four logistic regression models are fit - each
for male and female for estimating the
probability of having sex before or at 15 and
18 years of age by background characteristics.
Considering the probability of having had first sexual
intercourse before or at age 15 for females having
certain background characteristics is expressed as;
 Where Pfsi15, f is the probability of having had first sexual
intercourse before or at age 15 for females with Xi
…………Xn set of characteristics (explanatory variables).
).............(,15 33121
1
1
.........
1
nnXXX
ni
ffsi
eXX
YEP  









• Rewriting in logit form and replacing by the
actual set of characteristic variables, the equation
(1) becomes,
• Where PR is place of residence, EDU is level of
education, ER is ecological region of
enumeration, CE is caste/ethnicity, WI is wealth
index and ui is error term.
iiiiii
ffsi
ffsi
i uWICEEREDUPR
P
P
Y 












65432
,15
,15
1
1
ln 
• The logit model producing the odds ratio
given by ....
.
1 ,1815
,1815
morforfsi
morforfsi
P
P



• Results are summarized based on the four
different models with each model having five
explanatory variables introduced in each
successive attempt, thus, forming a huge set
of interactive models result.
• Table 1 shows the odds ratio of having had
first sexual intercourse before or at age 15 or
18 years for men 15-24 and 18-24 as
explained by the individual characteristics.
Table 1: Determinants of age at first sexual intercourse for male
youths 15-24 and 18-24: Dichotomous Odds Ratio
Covariates Odds ratio for having first sexual
intercourse before or at age 15 for
male youths age 15-24
Odds ratio for having first sexual
intercourse before or at age 18 for
male youths age 18-24
Place of residence
Rural ®
Urban 1.34 0.845
Level of education
No education ®
Primary education 0.496** 0.959
Some secondary 0.450** 0.723
SLC and above 0.069*** 0.375***
Ecological region
Mountain ®
Hill 0.924 0.609
Tarai 0.819 0.490**
Caste/ethnicity
Hill Hindu caste ®
Anabatic/Nationalities 0.667 1.099
Tarai Hindu caste 0.325** 0.514**
Newar 1.166 0.430**
Muslim 0.994 0.901
Dalits (Occupational caste) 1.381 1.847**
Wealth quintile
Lowest ®
Second 1.424 1.214
Middle 0.882 1.063
Fourth 1.233 0.912
Highest 1.028 0.967
***p<0.001, **p<0.05, *p<0.1
Table 2: Determinants of age at first sexual intercourse for
female youths 15-24 and 18-24: Dichotomous Odds Ratio
Covariates Odds ratio for having first sexual
intercourse before or at age 15 for
female youths (15-24 years)
Odds ratio for having first sexual
intercourse before or at age 18 for
female youths (18-24 years)
Place of residence
Rural ®
Urban 1.405** 1.003
Level of education
No education ®
Primary education 0.721*** 1.146
Some secondary 0.306*** 0.835
SLC and above 0.021*** 0.716**
Ecological region
Mountain ®
Hill 0.889 1.119
Terai 0.944 2.120***
Caste/ethnicity
Hill Hindu caste ®
Anabatic/Nationalities 0.773** 0.773***
Tarai Hindu caste 1.269 2.654***
Newar 1.040 1.033
Muslim 1.053 2.873***
Dalits (Occupational caste) 1.554*** 1.572***
Wealth quintile
Lowest ®
Second 0.923 1.022
Middle 1.030 1.092
Fourth 1.120 0.800
Highest 1.272 0.590***
***p<0.001, **p<0.05,
*p<0.1
• This study shows that effect of contextual factors is more
pronounced in female sexuality compared to male.
• Young Tarai Hindu, Muslim and Dalits (occupational caste)
women are more likely to involve in sexual activities earlier
than Hill Hindu women, mainly because of the marriage
system they practice.
• Female youths with SLC and above level of education are
nearly 98 percent less likely to have first sexual intercourse
before or at age 15 (OR = 0.021, p<0.001) than those with
no education. But effect of education gradually reduces
when the age at first sexual intercourse increases from 15
to 18 years. Only the education beyond SLC is likely to
affect age at entry in sexual practices.
• compared to no education, male youths (15-24
years) with some secondary (OR = 0.450, p<0.05)
and SLC and above (OR = 0.069, p<0.001) are less
likely to have first sexual intercourse before or at
age 15. A similar trend is observed for male
youths aged 18-24 for having had first sexual
intercourse before or at age 18.
• Male youths from Tarai region are less likely to
have sexual intercourse at age 18 compared to
Mountain male youths. This finding is contrasting
the female youths who are found to be more
likely to initiate sexual activities compared to
their mountain counterparts.
• Some issues have been raised by this study. The
decreasing synchronization between age at marriage
and first sex shows youths are at risk. If the sex is
unprotected and premarital, it generates several
impediments in the lives of youths. Youths may be at
risk of unwanted pregnancy, risky births, STDS and
many births.
• Attention is required on the differential sexual
behaviours in order to promote healthy sexual
practices among youths. Considering the education as
an important factor that prevents early sexual
practices, especially, for female youths, it should be
promoted markedly considering the ecological and
caste/ethnic differences.

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  • 2. The outspread bulge of youth population in global demographic composition is demanding cautious attention to focus on behaviours of youth population than ever before. The wide spread use of contraception is claimed to have increased premarital and extra-marital sexual relationships.
  • 3. The increasing age at marriage, contrasting to early marriage in the past, has increased the age at first sexual intercourse among the youths in many countries of the world, if not premarital sexual activities considered. Youths' experiences of sexual practices are diverse and depend on many factors including one's sex, place of residence, socio-cultural context, economic circumstances and marital status (UNFPA, 2005).
  • 4. In many developing countries where age at marriage is considerably lower, youths are more likely to experience sexual activities within in marital union (Bruce, 2002) than pre-marital union. But with the increase in the age at marriage, the pattern and practices of sexual activities among youths have considerably been changing. Worldwide, a large majority of sexually experienced males aged 15-19 are unmarried compared to two-thirds or more sexually experienced females of the same age group are married.
  • 5. • Alike the global demographic composition, youth population (15-24 years) comprises the highest proportion (19.38%) ever in the demographic history of Nepal (Aryal and Adhikari, 2003). • Sexual activity in Nepal within married youths is common (MoH, New ERA and ORC Macro, 2002); whilst premarital sexual activity is gaining momentum (Pradhan and Strachan, 2003). The relatively lower age at marriage of girls compared to boys indicate most of the girls practice sexual activity within the marital union whereas the proportion of boys practicing sexual activity outside the marital union, particularly premarital sex, is noticeably increasing since last few years.
  • 6. • Sexual activity in Nepali youths is, by and large, explained by the socio-cultural and economic dimensions. The DHS 2006 confirms sexual behaviours of Nepali youths vary across the social, economic, cultural, ecological and urban-rural sub-groups. • Sexual behaviours of Nepali youths are less explored and documented. The DHS 2006 provides a few elaborated sexual behaviours of youths for the first time.
  • 7. • The median age at marriage and age at first sexual intercourse for female is almost same in Nepal which indicates that majority of females practice sexual activities in marital union. But, in contrast, the age at first sexual intercourse to males was nearly lower by one year than median age at marriage admitting that the premarital sexual activities are taking places (MoH, New ERA and ORC Macro, 2002 and 2007). • Not only, the proportion of youths involved in premarital sexual activity is increasing, they are equally practicing risky sexual activities. • Only 5.3 per cent women of age group 15-24 who have ever had sexual intercourse admitted to have used condom in the first sexual intercourse but the corresponding figure is higher for men, 25.7 per cent(MoH, New ERA , 2007).
  • 8. • This paper attempts to explore the factors that determine sexual behaviours of youths concentrating on age at entry into sexual union. • Affects of background characteristics - place of residence, household income, level of education, ecological zone and caste/ethnicity - of youths on age at entry into sexual union are explored to verify against the hypothesis that background characteristics affect sexual behaviours of youths.
  • 9. • The study is concentrated to discover the determinants of age at first sexual intercourse among the Nepali youths. Youth population is defined as the population in the age group 15-24. • Data from Nepal Demographic and Health Survey (NDHS) 2006 are used for this analysis. The NDHS 2006 provides more disaggregated information on sexual behaviour of youths for the first time. • The sample population included in the study, comprises 4,431 women aged 15-24 and 2,916 women aged 18-24 whereas the corresponding sample for men is 1,573 for age group 15-24 and 985 for age group 18-24.
  • 10.  For making the analysis comparable and traceable, two categories of age classification - 15 years and 18 years have been used. Based on these two groups (four categories) are formed – i) Having sexual relationship earlier than or at 15 or 18 years of age (coded as '1') ii) Not having sexual relationship earlier than 15 or 18 years of age (coded as '0'), hence, forming a dichotomous dependent variable.  The reasons for using 15 and 18 as classifying year are i) age 15 is used to measure the probability of having sex at early age or pre-reproductive age, ii) age 18 is the legal age of marriage for both sexes with the consent of parents in Nepal.
  • 11.  Background characteristics of individuals - sex, place of residence, level of education, ecological region of origin, caste/ethnicity and wealth index are considered as independent variables based on the results produced by NDHS 2006.  Age at first sexual intercourse is hypothesized to be influenced by sex of individual, place of residence (rural-urban), level of education (illiterate - SLC and above), ecological region of enumeration (Mountain, Hill and Tarai), caste/ethnicity (Hill Hindu, Tarai Hindu, Janjatis/Nationalities, Newar, Muslim and Dalits/untouchables), and wealth index (Lowest-Highest quintile).
  • 12. • Having classified the dependent variable in dichotomous form, binary logistic regression is the appropriate model to identify the relative risk of having had or not having had sex earlier than or at age 15 or 18 years. • Four logistic regression models are fit - each for male and female for estimating the probability of having sex before or at 15 and 18 years of age by background characteristics.
  • 13. Considering the probability of having had first sexual intercourse before or at age 15 for females having certain background characteristics is expressed as;  Where Pfsi15, f is the probability of having had first sexual intercourse before or at age 15 for females with Xi …………Xn set of characteristics (explanatory variables). ).............(,15 33121 1 1 ......... 1 nnXXX ni ffsi eXX YEP           
  • 14. • Rewriting in logit form and replacing by the actual set of characteristic variables, the equation (1) becomes, • Where PR is place of residence, EDU is level of education, ER is ecological region of enumeration, CE is caste/ethnicity, WI is wealth index and ui is error term. iiiiii ffsi ffsi i uWICEEREDUPR P P Y              65432 ,15 ,15 1 1 ln 
  • 15. • The logit model producing the odds ratio given by .... . 1 ,1815 ,1815 morforfsi morforfsi P P   
  • 16. • Results are summarized based on the four different models with each model having five explanatory variables introduced in each successive attempt, thus, forming a huge set of interactive models result. • Table 1 shows the odds ratio of having had first sexual intercourse before or at age 15 or 18 years for men 15-24 and 18-24 as explained by the individual characteristics.
  • 17. Table 1: Determinants of age at first sexual intercourse for male youths 15-24 and 18-24: Dichotomous Odds Ratio Covariates Odds ratio for having first sexual intercourse before or at age 15 for male youths age 15-24 Odds ratio for having first sexual intercourse before or at age 18 for male youths age 18-24 Place of residence Rural ® Urban 1.34 0.845 Level of education No education ® Primary education 0.496** 0.959 Some secondary 0.450** 0.723 SLC and above 0.069*** 0.375*** Ecological region Mountain ® Hill 0.924 0.609 Tarai 0.819 0.490**
  • 18. Caste/ethnicity Hill Hindu caste ® Anabatic/Nationalities 0.667 1.099 Tarai Hindu caste 0.325** 0.514** Newar 1.166 0.430** Muslim 0.994 0.901 Dalits (Occupational caste) 1.381 1.847** Wealth quintile Lowest ® Second 1.424 1.214 Middle 0.882 1.063 Fourth 1.233 0.912 Highest 1.028 0.967 ***p<0.001, **p<0.05, *p<0.1
  • 19. Table 2: Determinants of age at first sexual intercourse for female youths 15-24 and 18-24: Dichotomous Odds Ratio Covariates Odds ratio for having first sexual intercourse before or at age 15 for female youths (15-24 years) Odds ratio for having first sexual intercourse before or at age 18 for female youths (18-24 years) Place of residence Rural ® Urban 1.405** 1.003 Level of education No education ® Primary education 0.721*** 1.146 Some secondary 0.306*** 0.835 SLC and above 0.021*** 0.716** Ecological region Mountain ® Hill 0.889 1.119 Terai 0.944 2.120***
  • 20. Caste/ethnicity Hill Hindu caste ® Anabatic/Nationalities 0.773** 0.773*** Tarai Hindu caste 1.269 2.654*** Newar 1.040 1.033 Muslim 1.053 2.873*** Dalits (Occupational caste) 1.554*** 1.572*** Wealth quintile Lowest ® Second 0.923 1.022 Middle 1.030 1.092 Fourth 1.120 0.800 Highest 1.272 0.590*** ***p<0.001, **p<0.05, *p<0.1
  • 21. • This study shows that effect of contextual factors is more pronounced in female sexuality compared to male. • Young Tarai Hindu, Muslim and Dalits (occupational caste) women are more likely to involve in sexual activities earlier than Hill Hindu women, mainly because of the marriage system they practice. • Female youths with SLC and above level of education are nearly 98 percent less likely to have first sexual intercourse before or at age 15 (OR = 0.021, p<0.001) than those with no education. But effect of education gradually reduces when the age at first sexual intercourse increases from 15 to 18 years. Only the education beyond SLC is likely to affect age at entry in sexual practices.
  • 22. • compared to no education, male youths (15-24 years) with some secondary (OR = 0.450, p<0.05) and SLC and above (OR = 0.069, p<0.001) are less likely to have first sexual intercourse before or at age 15. A similar trend is observed for male youths aged 18-24 for having had first sexual intercourse before or at age 18. • Male youths from Tarai region are less likely to have sexual intercourse at age 18 compared to Mountain male youths. This finding is contrasting the female youths who are found to be more likely to initiate sexual activities compared to their mountain counterparts.
  • 23. • Some issues have been raised by this study. The decreasing synchronization between age at marriage and first sex shows youths are at risk. If the sex is unprotected and premarital, it generates several impediments in the lives of youths. Youths may be at risk of unwanted pregnancy, risky births, STDS and many births. • Attention is required on the differential sexual behaviours in order to promote healthy sexual practices among youths. Considering the education as an important factor that prevents early sexual practices, especially, for female youths, it should be promoted markedly considering the ecological and caste/ethnic differences.