Trends and Progress in Reducing Teen Birth Rates and the Persisting Challenge of Eliminating Racial/Ethnic Disparities

Utilizing social determinants of health to identify most vulnerable neighborhoods-Latent class analysis and GIS map

OBJECTIVES

Public Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods.

METHODS

This study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021.

RESULTS

LCA's results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics.

CONCLUSIONS

LCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs.

KEY MESSAGES

What is already known on this topic Public health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems. What this study adds While it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level. How this study might affect research, practice or policy These profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

Infant Outcomes among Teenage and Young Mothers: Racial Inequities and the Role of Educational Attainment

OBJECTIVE

To examine the association of age-appropriate maternal educational attainment in teenage and young mothers on infant health outcomes across racial/ethnic groups.

STUDY DESIGN

In this retrospective, cross-sectional study using Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research Natality data (2016-2017), we included live births comparing 14- to 19- year-old mothers with 20- to 24-year-old mothers. To analyze the association of maternal age-appropriate education (≥8th grade for 15-18 years of age, 9th-12th grade/completed high school for 19-24 years of age), we conducted multivariable regression adjusting for mothers' demographics, reporting adjusted incidence rate ratios with 95% CI for infant mortality rate, and logistic regression for extreme prematurity and low birth weight, reporting aORs with 95% CI.

RESULTS

From 2016 to 2017, there were 1 976 334 live births among women 14-24 years of age; 407 576 (20.6%) were in 14- to 19-year-olds. In the multivariable model, increased term infant mortality rate was associated with age 14-19 years (adjusted incidence rate ratio 1.18, 95% 1.10, 1.27), age-inappropriate education (adjusted incidence rate ratio 1.38, 95% CI 1.28, 1.48), and non-Hispanic Black mothers (adjusted incidence rate ratio 1.21, 95% CI 1.12, 1.30). Extreme prematurity was associated with women age 14-19 years (aOR 1.35, 95% CI 1.30, 1.40), non-Hispanic Black (aOR 2.50, 95% CI 2.39, 2.61), and Hispanic mothers (aOR 1.09, 95% CI 1.04, 1.15). Term infant low birth weight was associated with age 14-19 years (aOR 1.14, 95% CI 1.12, 1.16), age-inappropriate education for non-Hispanic White (aOR 1.16, 95% CI 1.11, 1.21), and non-Hispanic Black (aOR 1.08, 1.04, 1.12) mothers.

CONCLUSIONS

Inadequate maternal educational attainment, which is influenced by modifiable social policies, is associated with increased adverse infant outcomes in mothers 14-24 years of age.

"… I would have left that man long time ago but, …" exploring circumstances of and motivators for repeat adolescent birth in Eastern Uganda

BACKGROUND

First birth before 18 years has declined in Uganda unlike repeat adolescent birth (=second or more births before age 20 years). We explored the circumstances of and motivators for repeat adolescent birth in Eastern Uganda.

METHODS

Between January and March 2020, we conducted a qualitative study involving 70 individual in-depth interviews with purposively selected respondents - 20-25-year-old women with and without repeat adolescent birth, their partners, and parents, in the communities of Teso sub-region. We conducted latent content analysis.

RESULTS

Four major themes emerged: poverty, vulnerability, domestic violence, and demotivators. Sub-themes identified under poverty were: "limited provisions", "peasantry", "large families", "dropping out of school", "alcohol abuse", and "broken family structure". Vulnerability included "marital entrapment" and "partner coercion". Demotivators included: "abandonment", "stern warning", "objection to marriage", and "empowerment". Extreme poverty resulted in inadequate provision of basic needs leading to unprotected sexual activity in a bid to secure financial support. Following the first birth, more than three quarters of the women with repeat adolescent birth reported increased economic distress that forced them to remain in unwanted marriage/union, often characterized by partner coercion, despite wanting to delay that repeat birth. Women without repeat adolescent birth avoided a second birth by empowerment through: an economic activity, contraception use, and resumption of schooling.

CONCLUSION

Repeat adolescent birth in Uganda is premised around attempts to address the economic distress precipitated by first birth. Many women want to delay that repeat birth but the challenges robbed them of their reproductive autonomy. Beyond efforts to prevent first birth, programs need to address economic empowerment, ensure contraceptive access, and school re-integration for adolescent mothers in order to prevent shortly-spaced repeat births.

Changes in young women’s contraceptive use in the Netherlands: findings from three sex under the age of 25 surveys

Prevention of unintended pregnancy among adolescents and young adults under 25 years is pivotal from an individual as well as societal perspective. In the USA, the use of long-acting reversible contraceptive (LARC) has been shown to increase, with no or little change in the use of short-acting reversible contraceptive (SARC). We assessed trends in no contraceptive, SARC, and LARC use by young women, aged between 12 and 25 years, and differences in trends within demographic groups (age, religion, ethnic background, and educational level) among these young women in the Netherlands. Data of sexually active young women aged 12–25 years from three cross-sectional representative surveys, 2005, 2012, and 2017, were used for this study. In total, 11,229 Dutch young women were included with a median age of 20 years (interquartile range 18–23 years). Overall, the proportion of young women using SARC decreased significantly between 2005 and 2017 from 88 to 76%. LARC use increased significantly between 2005 and 2017 from 3 to 16%. These trends varied by religious groups and educational level, emphasizing potential for tailored preventative measures for these groups. A shift towards LARC use might eventually lead to a further decrease in unwanted pregnancy and potentially abortion because of the lower risk of user errors.