Abstract:Adolescent fertility is an important issue in terms of health and social care due to its relation to morbidity and mortality of mothers and children. The 2017 IDHS provided data regarding the percentage of women aged 15-19 who already became mothers or pregnant with their first child according to background characteristics. The 2017 IDHS results showed 7 percent of women aged 15-19 were mothers: 5 percent had given birth and 2 percent were pregnant with their first child. This study used a quantitative seconda… Show more
“…The area of origin in this study (rural/urban) did not affect fertility in adolescents, which means that this result is not in line with the study in Timor Leste [8] which states that the OR for the fertility of adolescents from rural areas is 2.8 times compared to those from urban areas. However, the research results have the opposite result that the area of origin does not affect fertility rates in adolescents [11]. This happens because even though they are from rural areas, they can already access contraceptives and have higher education.…”
Section: Discussionmentioning
confidence: 78%
“…However, the findings of this study are in contrast to the findings in Central Java, Indonesia. That socioeconomic factors are not related to adolescent fertility in Central Java because socioeconomic factors are supported by the couple's education factor [11].…”
Section: Discussionmentioning
confidence: 96%
“…Adolescents who are married have a higher fertility rate than those who are not. Married adolescents contributed at least once given birth in a range of 42%-70% [6], [11]. People in Indonesia still hold the custom that the main reason for getting married is to have children even though the mother is still a teenager, so it will not delay the first pregnancy and result in a higher fertility rate in married adolescents than unmarried [7], [12].…”
INTRODUCTION: Fertility in adolescents is closely related to the incidence of early marriage which will have an impact on increasing the incidence of pregnancy in adolescents so that it will directly affect the health of mothers and babies. The younger the age at marriage, the higher the fertility rate.
AIM: This study aimed to determine the relationship between contraception and fertility among adolescents.
METHODS: This quantitative study used a cross-sectional design. The population of this study was adolescents aged 15–19 years in Indonesia. The total sample of 7,547 adolescents was selected from the 2017 Indonesia Demographic and Health Survey (IDHS). Multivariate analysis using binary logistic regression was used to analyze the independent variable (contraception use) on the dependent variable (fertility) with education, work status, region, age at first sexual intercourse, economic status, and marital status as the controlled variables.
RESULTS: Multiple logistic regression analysis was used to report the relationship between independent and dependent variables controlled by potential confounder variables. The results showed that the odds ratio of contraceptives users was 46 times compared to non-user after being controlled by confounding variables (AOR=4.8; 95%CI 33.857 – 441.046) after controlled by economic status, age at first exual intercourse, and marital status.
CONCLUSION: The relationship between contraceptive use and fertility in adolescents is affected by confounding variables such as age at first sexual intercourse, economic status, and marital status. In addition, the odds ratio of contraceptives users was 46 times compared to non-users after being controlled by confounding variables.
“…The area of origin in this study (rural/urban) did not affect fertility in adolescents, which means that this result is not in line with the study in Timor Leste [8] which states that the OR for the fertility of adolescents from rural areas is 2.8 times compared to those from urban areas. However, the research results have the opposite result that the area of origin does not affect fertility rates in adolescents [11]. This happens because even though they are from rural areas, they can already access contraceptives and have higher education.…”
Section: Discussionmentioning
confidence: 78%
“…However, the findings of this study are in contrast to the findings in Central Java, Indonesia. That socioeconomic factors are not related to adolescent fertility in Central Java because socioeconomic factors are supported by the couple's education factor [11].…”
Section: Discussionmentioning
confidence: 96%
“…Adolescents who are married have a higher fertility rate than those who are not. Married adolescents contributed at least once given birth in a range of 42%-70% [6], [11]. People in Indonesia still hold the custom that the main reason for getting married is to have children even though the mother is still a teenager, so it will not delay the first pregnancy and result in a higher fertility rate in married adolescents than unmarried [7], [12].…”
INTRODUCTION: Fertility in adolescents is closely related to the incidence of early marriage which will have an impact on increasing the incidence of pregnancy in adolescents so that it will directly affect the health of mothers and babies. The younger the age at marriage, the higher the fertility rate.
AIM: This study aimed to determine the relationship between contraception and fertility among adolescents.
METHODS: This quantitative study used a cross-sectional design. The population of this study was adolescents aged 15–19 years in Indonesia. The total sample of 7,547 adolescents was selected from the 2017 Indonesia Demographic and Health Survey (IDHS). Multivariate analysis using binary logistic regression was used to analyze the independent variable (contraception use) on the dependent variable (fertility) with education, work status, region, age at first sexual intercourse, economic status, and marital status as the controlled variables.
RESULTS: Multiple logistic regression analysis was used to report the relationship between independent and dependent variables controlled by potential confounder variables. The results showed that the odds ratio of contraceptives users was 46 times compared to non-user after being controlled by confounding variables (AOR=4.8; 95%CI 33.857 – 441.046) after controlled by economic status, age at first exual intercourse, and marital status.
CONCLUSION: The relationship between contraceptive use and fertility in adolescents is affected by confounding variables such as age at first sexual intercourse, economic status, and marital status. In addition, the odds ratio of contraceptives users was 46 times compared to non-users after being controlled by confounding variables.
“…This is due to the fact that emotions are still unstable, making it easier to fight even in the face of minor issues. Because of an unequal relationship, quarrels can sometimes develop to domestic violence/sexual violence, which is particularly common among women [7], [8].…”
“…This requires evidence based on data at the regional/national level related to adolescent reproductive health, behavior, use of information, and family planning services. Several studies related to adolescent fertility have been conducted in several areas in Indonesia such as NTT and Yogyakarta (Rahmadewi, 2011), Central Java (Raharjo et al, 2019), Kalimantan (Raharja et al, 2021), while relatively little is known about adoloscent fertility in Maluku Province. However, the presence of IDHS data allows researchers, policy makers and program designers to fill this gap.…”
Adolescent fertility becomes an important issue for it gives impact on education, employment, economic status, gender inequality, and poor health or death. The evidence was based on research to improve adolescent sexual and reproductive health. However, the matter of adolescent fertility was not well-known in Maluku Province. The importance of this problem to be investigated is related to what factors cause the high incidence of adolescent fertility in Maluku Province.The method used in this study was quantitative approach of 2017 IDHS secondary data analysis which has received approval from ICF Institutional Review Board. The population of this study were all female adolescents aged 15-19 years old in Maluku with a total sample of 371 respondents. The data analysis in this study consisted of univariate, bivariate and multivariate analysis. The results showed that the proportion of adolescent fertility in Maluku Province was 9,7%. It was found statistically that the variables of age, education, area of residence, marital status, contraceptive use and economic status had a significant relationship with adolescent fertility (p-value < 0,05). This study also showed that the variable of age became the most dominant variable affecting the incidence of adolescent fertility.
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