The Association Between Hormonal Contraceptive Use and Anemia Among Adolescent Girls and Young Women: An Analysis of Data From 51 Low- and Middle-Income Countries

PURPOSE

This study explores whether adolescent girls and young women aged 15-24 who use hormonal methods of contraception are more or less likely to be anemic than their peers. We further examine whether the association between anemia and hormonal contraception varies based on the severity of anemia or the duration of method use.

METHODS

We conducted secondary analysis of data available for 51 low- and middle-income countries from the Demographic and Health Surveys. For each country, we used logistic regression models to explore the odds of being anemic (mildly, moderately, or severely) for those using hormonal methods of contraception. We also explored the odds of being moderately or severely anemic based on hormonal method use. Drawing on country-level effect estimates, we conducted meta-regression analyses to produce overall estimates of the association between anemia and hormonal contraception.

RESULTS

Overall, adolescent girls and young women using hormonal methods had lower odds of being mildly, moderately, or severely anemic (adjusted odds ratio 0.68; p < .001) and lower odds of being moderately or severely anemic (adjusted odds ratio 0.57; p < .001) compared to those not using any contraception. Both short- and long-term users of hormonal methods had lower odds of being anemic and lower odds of being moderately or severely anemic compared to those not using hormonal methods.

DISCUSSION

This study furthers our understanding of the association between anemia and use of hormonal contraception among adolescent girls and young women. More research is needed to assess causality and whether hormonal methods mediate the effects of heavy menstrual bleeding or other risk factors of anemia.

Do adolescent girls' education and friendships have independent effects on early pregnancy? Results of a mediation analysis from a longitudinal cohort study in Nairobi, Kenya

Background

Few studies have examined whether the effect of education on pregnancy and childbearing is due to the academic skills acquired or the social environment that schooling provides. This paper explores whether adolescent girls' learning skills, school enrollment, grade attainment, and friendships affect risk of pregnancy, and whether friendships mediate the relationship between education and pregnancy.

Methods

We draw on three waves of longitudinal data on adolescent girls aged 11-15 in Kibera, an informal settlement in Nairobi, Kenya between years 2015-2019. We use fixed effects regression models to estimate effects of girls' learning skills, school attendance, grade attainment, and friendships on their probability of experiencing a pregnancy. We conduct mediation analyses to assess whether friendships mediate the relationship between education and pregnancy.

Results

By round one (2015), 0.1 % of girls reported having experienced a pregnancy; by round three (2019), 6.3 %. Even after adjusting for friendships, we find that attending school decreases probability of pregnancy by nine percentage points; an additional year of schooling decreases probability of pregnancy by three percentage points; and a one standard deviation increase in numeracy decreases probability of pregnancy by one percentage point. Having any male friends who do not attend school increases girls' probability of experiencing a pregnancy by four percentage points; this association remains after adjusting for girls' education. However, out-of-school girls are far more likely to report out-of-school male friends. We find no evidence that other types of friendships affect girls' probability of becoming pregnant.

Conclusion

We find significant protective effects of school attendance, higher grade attainment and numeracy skills on girls' pregnancy, and that having close friendships with out-of-school males increases girls' probability of pregnancy. We did not find evidence of meaningful mediation, suggesting that the protective effects of school attendance and learning remain regardless of any risk they may face from their friendships.

What Are the Drivers of Child Marriage? A Conceptual Framework to Guide Policies and Programs

PURPOSE

The child marriage field lacks a simplified framework that connects an understanding of the drivers of child marriage for girls to decisions about the design of interventions to delay marriage within different contexts and support married girls.

METHODS

We reviewed existing child marriage frameworks and conducted consultations with experts working on child marriage. We then developed a simplified conceptual framework describing the key drivers of child marriage for girls. We explored how these drivers play out and interact using qualitative data from three settings where child marriage is common: Bangladesh, Malawi, and Niger.

RESULTS

The final conceptual framework lays out five core drivers of child marriage for girls, which vary and interact across contexts. Social norms and poverty are shown as core drivers that underlie lack of agency, lack of opportunity, and pregnancy/fear of pregnancy. These drivers reflect community, household, and individual-level factors. The case studies highlight the important relationships between these drivers, and the way they interact within each context. We use these examples to explore how policymakers and practitioners might identify the most appropriate interventions to address child marriage across different settings.

CONCLUSIONS

We offer this framework as a starting point to guide more targeted interventions and policies that address the complex combination of child marriage drivers within each setting. By adapting this framework to different settings, those designing and implementing child marriage prevention interventions can identify the key drivers in each setting, understand how those drivers interact, and more effectively target effective interventions.

The Adolescent Data Hub: The Largest Catalog of Open Access Data on Adolescents Living in Low- and Middle-Income Countries

The Adolescent Data Hub (ADH) is the first and largest data catalog specifically developed to focus on open access data on adolescents in low- and middle-income countries (LMICs). Developed by the Population Council's Girl Innovation, Research, and Learning (GIRL) Center, and launched in August 2018, the ADH has grown to include more than 750 data sources that fit the inclusion criteria of (1) self-reported data from females and/or males between ages 10 and 24 years; (2) one or more rounds of data collected in year 2000 or later; (3) data collected in one or more LMICs; (4) data are publicly available for download and use. A dynamic resource, the ADH is regularly updated to include new datasets that meet these criteria. The ADH facilitates access to available data on adolescents for researchers attempting to answer important questions related to the lives of adolescents and for donors and policymakers eager to identify gaps in existing data to inform their future investments.

The development and testing of a module on child functioning for identifying children with disabilities on surveys. III: Field testing

BACKGROUND

A module on child functioning developed by UNICEF and the Washington Group on Disability Statistics (WG) for use in censuses and surveys reflects current thinking around disability measurement and is intended to produce internationally comparable data. The Child Functioning Module (CFM) was developed in response to limitations of the Ten Question Screening Instrument (TQSI) for use in surveys and builds on the WG Short Set (WG-SS) of questions that was designed to capture disability in censuses, particularly among the adult population.

OBJECTIVE

This paper documents the testing of the module and summarizes its results, including a description of prevalence levels across countries using different cut-offs, and comparisons with prevalence levels obtained using the TQSI and the WG-SS.

METHODS

Field tests were conducted in Samoa as part of the 2014 Demographic and Health Survey and in Mexico as part of the 2015 National Survey of Boys, Girls and Women. The module was also implemented in Serbia as part of a dedicated survey conducted in the province of Vojvodina, in February 2016.

RESULTS

Using the recommended cut-offcut-off, the percentage of children reported as having functional difficulty ranges from 1.1% in Serbia to 2% in Mexico among children aged 2-4 years, and from 3.2% in Samoa to 11.2% in Mexico among children aged 5-17 years. Across all three countries, the prevalence of functional difficulty was highest in the socio-emotional domains. A comparison of the prevalence levels obtained using the WG-SS and the CFM shows that, except for the question on cognition/learning, the WG-SS and the CFM are relatively close for children aged 5-17 years for the domains that are included in both question sets, but the WG-SS excludes many children identified by the CFM in other domains. The comparison between the TQSI and the CFM shows that, while the prevalence estimates are similar for seeing and hearing, significant differences affect other domains, particularly cognition/learning and communication.

CONCLUSIONS

The CFM addresses a full range of functional domains that are important for child development. The module represents an improvement on the TQSI in that it allows for scaled responses to determine the degree of difficulty, and so can separate out many potential false positives. The module is also preferred over the WG-SS for collecting data on children, first, because most of the questions in the WG-SS are not suitable for children under the age of 5 years, and second, because the WG-SS leaves out important functional domains for children aged 5-17 years, namely those related to developmental disabilities and behavioural issues.