Dataset Information

Adolescent Determinants of Abortion Attitudes: Evidence from the Children of the National Longitudinal Survey of Youth.

ABSTRACT: The stability of abortion opinions suggests that pre-adult factors influence these attitudes more than contemporaneous political events. Surprisingly, however, we know little about the origins of abortion opinions, no doubt because the majority of research focuses on cross-sectional analyses of patterns across cohorts. We use a developmental model that links familial and contextual factors during adolescence to abortion attitudes years later when respondents are between 21 and 38 years old. Findings show that religious adherence and maternal gender role values are significant predictors of adult abortion opinions, even after controlling for contemporaneous religious adherence and the respondents' own views on gender roles. Adolescent religious adherence matters more than religious denomination for adult abortion attitudes. The results have important implications for future trends in abortion attitudes in light of declining religiosity among Americans.

SUBMITTER: Pacheco J

PROVIDER: S-EPMC4884817 | biostudies-other | 2016

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Adolescent Determinants of Abortion Attitudes: Evidence from the Children of the National Longitudinal Survey of Youth.

Pacheco Julianna J Kreitzer Rebecca R

Public opinion quarterly 20151227 1

The stability of abortion opinions suggests that pre-adult factors influence these attitudes more than contemporaneous political events. Surprisingly, however, we know little about the origins of abortion opinions, no doubt because the majority of research focuses on cross-sectional analyses of patterns across cohorts. We use a developmental model that links familial and contextual factors <i>during adolescence</i> to abortion attitudes years later when respondents are between 21 and 38 years ol ...[more]

PMID: 27257307

Similar Datasets

Project description:ObjectiveLow birth weight (LBW) is a serious public health problem in low- and middle-income countries and a leading cause of death in the first month of life. In India, about 18% of children are born with LBW (<2500 grams) in 2015-16. In this study, we aim to examine the influence of maternal factors and socio-demographic covariates on LBW in Indian children.MethodsData were drawn from the fourth round of the National Family Health Survey (NFHS-4), conducted in 2015-16. A cross-sectional study was designed using a stratified two-stage sampling technique. Cross-tabulation, Pearson's chi-squared test, and multivariate logistic regression analyses were employed to assess the impact of maternal factors and other covariates on children's LBW.ResultsOf total participants (n = 147,762), 17.5% of children were found to be born with LBW. The study revealed that women who had prior experience of stillbirth (Adjusted odds ratio [AOR]: 1.20, 95% CI: 1.04-1.38) and any sign of pregnancy complications (AOR: 1.08, 95% CI: 1.05-1.11) were more likely to have LBW children, even after adjusting for a range of covariates. Maternal food diversity was found to a protective factor against children's LBW. Women with underweight and anemic condition were associated with an increased likelihood of LBW children. Regarding maternity care, women who attended ≥4 ANC visits (AOR: 0.84, 95% CI: 0.80-0.88), took iron tablets/syrup during pregnancy (AOR: 0.94, 95% CI: 0.90-0.98), and delivered in a public health facility (AOR: 0.84, 95% CI: 0.79-0.88) were less likely to have LBW babies. Besides, various socio-demographic factors such as place of residence, caste, religion, education, wealth quintile, and geographical region were significantly associated with LBW of children.ConclusionInterventions are needed for adequate ANC utilization, improvement in public facility-based delivery, providing iron supplementation, and uptake of balanced energy-protein diet among pregnant mothers. Besides, special attention should be given to the socio-economically disadvantaged women to address adverse pregnancy and birth outcomes including LBW.

Project description:BackgroundThe generalized estimating equations (GEE) technique is often used in longitudinal data modeling, where investigators are interested in population-averaged effects of covariates on responses of interest. GEE involves specifying a model relating covariates to outcomes and a plausible correlation structure between responses at different time periods. While GEE parameter estimates are consistent irrespective of the true underlying correlation structure, the method has some limitations that include challenges with model selection due to lack of absolute goodness-of-fit tests to aid comparisons among several plausible models. The quadratic inference functions (QIF) method extends the capabilities of GEE, while also addressing some GEE limitations.MethodsWe conducted a comparative study between GEE and QIF via an illustrative example, using data from the "National Longitudinal Survey of Children and Youth (NLSCY)" database. The NLSCY dataset consists of long-term, population based survey data collected since 1994, and is designed to evaluate the determinants of developmental outcomes in Canadian children. We modeled the relationship between hyperactivity-inattention and gender, age, family functioning, maternal depression symptoms, household income adequacy, maternal immigration status and maternal educational level using GEE and QIF. Basis for comparison include: (1) ease of model selection; (2) sensitivity of results to different working correlation matrices; and (3) efficiency of parameter estimates.ResultsThe sample included 795, 858 respondents (50.3% male; 12% immigrant; 6% from dysfunctional families). QIF analysis reveals that gender (male) (odds ratio [OR] = 1.73; 95% confidence interval [CI] = 1.10 to 2.71), family dysfunctional (OR = 2.84, 95% CI of 1.58 to 5.11), and maternal depression (OR = 2.49, 95% CI of 1.60 to 2.60) are significantly associated with higher odds of hyperactivity-inattention. The results remained robust under GEE modeling. Model selection was facilitated in QIF using a goodness-of-fit statistic. Overall, estimates from QIF were more efficient than those from GEE using AR (1) and Exchangeable working correlation matrices (Relative efficiency = 1.1117; 1.3082 respectively).ConclusionQIF is useful for model selection and provides more efficient parameter estimates than GEE. QIF can help investigators obtain more reliable results when used in conjunction with GEE.

Project description:BackgroundAdolescent fertility in Kenya is vital in the development and execution of reproductive health policies and programs. One of the specific objectives of the Kenyan Adolescent Sexual Reproductive Health (ASRH) policy developed in 2015 is to decrease early and unintended pregnancies in an attempt to reduce adolescent fertility. We aimed to establish determinants of adolescent fertility in Kenya.MethodsThe Kenya Demographic and Health Survey (KDHS) 2014 data set was utilized. Adolescent's number of children ever born was the dependent variable. The Chi-square test was utilized to determine the relationship between dependent and independent variables. A Proportional-odds model was performed to establish determinants of adolescent fertility at a 5% significance level.ResultsOver 40% of the adolescent girls who had sex below 17 years had given birth i.e, current age 15-17 years (40.9%) and <15 years (44.9%) had given birth. In addition, 70.7% of the married adolescents had given birth compared to 8.1% of the unmarried adolescents. Moreover, 65.1% of the adolescents who were using contraceptives had given birth compared to only 9% of the adolescents who were not using a contraceptive. Approximately 29.4% of the adolescents who had no education had given birth compared to 9.1% who had attained secondary education. Age at first sex (18-19 years: OR: 0.221, 95% CI: 0.124-0.392; 15-17 years: OR: 0.530, 95% CI: 0.379-0.742), current age (18-19 years: OR: 4.727, 95% CI: 3.318-6.733), current marital status (Not married: OR:0.212, 95% CI: 0.150-4.780), and current contraceptive use (Using: OR 3.138, 95% CI: 2.257-4.362) were associated with adolescent fertility.ConclusionThe study established that age at first sex, current age, marital status, and contraceptive use are the main determinants of adolescent childbearing. The stated determinants should be targeted by the government to control the adolescent birth rate in Kenya. Consequently, delaying the age at first sex, discouraging adolescent marriage, and increasing secondary school enrollment among adolescent girls are recommended strategies to control adolescent fertility in Kenya.

Project description:IntroductionThe role of gender norms in shaping education and work opportunities, distribution of power and resources, and health and wellbeing is well recognised. However, rigorous studies in low- and middle-income countries on when and how norms change over time and what factors shape adolescents' and young adult's gender attitudes are limited. This paper explores the factors that determine adolescents' gender attitudes, as well as patterns in gender attitude shifts over time among younger and older adolescent boys and girls in India.Data and methodsData presented in this paper were drawn from a unique longitudinal study of adolescents aged 10-19 (Understanding the lives of adolescent and young adults-UDAYA study) in the states of Bihar and Uttar Pradesh in India, conducted during 2015-2016 (wave 1) and 2018-2019 (wave 2). The analysis presented in this paper drew on data from 4,428 boys and 7,607 girls who were aged 10-19 and unmarried at wave 1 and interviewed at both rounds of the survey. We used univariate and bivariate analyses to examine changes in adolescents' gender role attitudes over time and the association between explanatory variables and gender role attitudes. We also used linear fixed effects regression models to identify factors that shape adolescents' gender role attitudes.ResultsGender role attitudes became more egalitarian over time among boys and girls, except among the older cohort of boys in our study. Among both younger and older cohorts, girls/young women held more egalitarian views than boys/young men and this pattern held over time for both cohorts. Factors that influenced gender role attitudes differed for younger and older adolescents, particularly among boys. While some predictors differed for boys and girls, there were substantial similarities as well. Gender attitudes were affected by factors at the individual, family, peer, and societal levels, as well as by community engagement.ConclusionsOur findings show that it is possible to shift gender attitudes toward greater equity and, in so doing, contribute to improved health and rights.

Dataset Information

Adolescent Determinants of Abortion Attitudes: Evidence from the Children of the National Longitudinal Survey of Youth.

Publications

Adolescent Determinants of Abortion Attitudes: Evidence from the Children of the National Longitudinal Survey of Youth.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets