Inequality in fertility rate among adolescents: evidence from Timor-Leste demographic and health surveys 2009–2016

Yaya, Sanni; Zegeye, Betregiorgis; Oladimeji, Kelechi Elizabeth; Shibre, Gebretsadik

doi:10.1186/s13690-020-00484-1

Cited by 10 publications

(12 citation statements)

References 32 publications

(45 reference statements)

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“…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].…”

Section: Discussioncontrasting

confidence: 93%

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The Use of Contraception and Adolescent Fertility in Indonesia

Ernawati

Mas’udah

Emilia

et al. 2021

Open Access Maced J Med Sci

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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.

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Section: Discussioncontrasting

confidence: 93%

“…The poor group has a contribution of 6% to fertility compared to the rich group. This finding is in line with findings in adolescents in Timor-Leste and Ethiopia [8], [9], [10]. Low economic status triggers the emergence of early marriage and low access to modern contraception.…”

Section: Discussionsupporting

confidence: 90%

The Use of Contraception and Adolescent Fertility in Indonesia

Ernawati

Mas’udah

Emilia

et al. 2021

Open Access Maced J Med Sci

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“…The potential individual mediating factors included maternal characteristics, which were obtained from the data available from the Polish Central Statistical Office and were used as confounding factors as appropriate. We assumed that multiple births may significantly influence the association between maternal age and birth weight [26] and that mothers of young age (<20 years old) are heterogeneous and often a burdened group [27,28]; therefore, these records were excluded from the study (Figure 1). to 2.3 and 15.9 percentiles, and values of +1 and +2 corresponded to 84.1 and 97.7 percentiles, respectively.…”

Section: Maternal Characteristicsmentioning

confidence: 99%

Inequalities in Birth Weight in Relation to Maternal Factors: A Population-Based Study of 3,813,757 Live Births

Genowska

Motkowski

Strukčinskaitė

et al. 2022

IJERPH

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Background: Despite numerous studies of women having children later in life, evidence of the relationship between maternal factors and newborn outcomes in Central and Eastern European countries is limited. This study aimed to examine the association between maternal age, biological determinants, including parity and sex of the newborn, demographic and social background, and birth weight in 3.8 million singleton live births in Poland. Methods: The effect of maternal age on birth weight (in grams and Z-scores) adjusted for confounders was assessed using Generalized Linear Models. Results: The mean (±SD) birth weights of neonates born to primiparous women and multiparous women were 3356.3 ± 524.9 g and 3422.7 ± 538.6 g, respectively, which corresponded to a Z-score of −0.07 ± 0.96 and 0.14 ± 1.00, respectively (p ≤ 0.001). After controlling for biological, demographic, and social factors, a significant decrease in birth weight was found for primiparous women of the age group ≥30 years and multiparous women aged ≥35 years compared to the age group of 25–29 years. The lowest neonatal birth weight was observed in the case of women aged ≥45 years. Confounders did not affect birth weight Z-scores among primiparous women, whereas among multiparous women, together with educational factors, they reversed Z-scores from positive to negative values. The lower birth weight of neonates was overall associated with lower maternal education. Conclusions: Regardless of parity, advanced maternal age is strongly associated with a decreased neonatal birth weight, implying complications in early pregnancy and the antenatal period as well as obstetric complications. Counseling to support women’s family planning decisions and improving women’s education during their reproductive age may help to alleviate unfavorable newborn outcomes.

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“…The wealth index was the equity stratifier in the present study. The wealth index has a natural ordering and known as an ordered stratifier used in several socioeconomic-related inequality studies and has a high predictive value in low and middle-income countries [ 34 , 35 ]. It was coded as poorest, poorer, middle, richer, and richest [ 32 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Socioeconomic inequalities in non- coverage of full vaccination among children in Bangladesh: a comparative study of Demographic and Health Surveys, 2007 and 2017–18

et al. 2022

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Background Vaccination is considered as a powerful and cost-effective weapon against many communicable diseases. An increase in full vaccination among the most vulnerable populations in Bangladesh was observed in the last decade. This study aimed to capture the socioeconomic inequalities in non-coverage of full vaccination among children aged 12–23 months using the nationally representative data from the Bangladesh Demographic and Health Surveys (BDHS). Methods Data for this study have been drawn from the 2007 and 2017–18 BDHS, which covered 10,996 and 20,127 ever-married women aged 15–49 years in 2007 and 2017–18, respectively. Binary logistic regression analysis was performed to find the factors associated with children who did not receive full vaccination. Further, the concentration index was used to observe the socioeconomic inequality for the outcome variable. Results The proportion of children who did not get fully vaccinated decreased by more than 6 points (18.2 percent to 11.8 percent) between the years 2007 and 2017–18. In 2017–18, the odds of children who were not fully vaccinated were 58 percent and 53 percent less among mothers who had primary education in 2007 [adjusted odds ratio (AOR): 0.42; confidence interval (CI): 0.24–0.73] and 2017–18 [AOR: 0.47; CI: 0.23–0.94] respectively, compared to mothers with no education. The inequality for children who were not fully vaccinated had declined between two survey periods [concentration index (CCI) value of − 0.13 in 2007 and -0.08 in 2017–18]. The concentration of inequality in children with higher parity who did not receive full vaccination had increased from 5 percent in 2007 to 16.9 percent in 2017–18. There was a drastic increase in the socioeconomic inequality contributed by place of delivery from 2.9 percent (2007) to 60.5 percent (2017–18) among children who did not receive full vaccination. Conclusions The present study provide eminent evidence that non-coverage of full vaccination is more prevalent among children from poor households in Bangladesh, which is mainly associated with factors like mother’s education, father’s education and working status and household wealth index across the two rounds. These factors suggest multifaceted pro-poor interventions that will protect them from hardship and reduce their socioeconomic inequalities in coverage of full vaccination.

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Inequality in fertility rate among adolescents: evidence from Timor-Leste demographic and health surveys 2009–2016

Cited by 10 publications

References 32 publications

The Use of Contraception and Adolescent Fertility in Indonesia

The Use of Contraception and Adolescent Fertility in Indonesia

Inequalities in Birth Weight in Relation to Maternal Factors: A Population-Based Study of 3,813,757 Live Births

Socioeconomic inequalities in non- coverage of full vaccination among children in Bangladesh: a comparative study of Demographic and Health Surveys, 2007 and 2017–18

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