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Gender-equitable caregiver attitudes and education and safety of adolescent girls in South Kivu, DRC: A secondary analysis from a randomized controlled trial

Gender-equitable caregiver attitudes and education and safety of adolescent girls in South Kivu, DRC: A secondary analysis from a randomized controlled trial

  • Ilana Seff, 
  • Kathryn Falb, 
  • Gary Yu, 
  • Debbie Landis, 
  • Lindsay Stark



Adolescent girls face myriad threats to their well-being and safety as a result of gender-inequitable attitudes and norms, and these risks are often exacerbated during humanitarian emergencies. While humanitarian actors have begun to address caregivers’ behaviors and gender attitudes as an approach to support and meet the needs of adolescent girls, best practices for working with caregivers to improve adolescent girls’ well-being in these settings have yet to be identified.

Methods and findings

This study uses panel data from a program evaluation to analyze associations between changes in gender-equitable attitudes among caregivers and changes in schooling and violence victimization for girls ages 10 to 14 years old in the Democratic Republic of the Congo (DRC). Participants were recruited in May 2015 for baseline (May to July 2015) and endline (August to October 2016) data collection. Baseline and endline data for both caregivers and girls were available for 732 girls. The average ages of adolescents and caregivers were 12 and 40.7, respectively, and 92% of caregivers were female. The predictor of interest was the change in caregivers’ gender-equitable attitudes between the 2 points in time, where attitudes were measured using 10 underlying survey questions. The primary outcomes of interest were dichotomous and included improvement in schooling participation and declines in physical, sexual, and emotional violence and feeling uncared for. Logistic regression was used to estimate the association between changes in caregivers’ attitudes and 5 outcomes of interest and revealed that an increase in a caregiver’s gender-equitable attitude score was associated with significantly greater odds of a girl experiencing an improvement in schooling participation (aOR = 1.08, CI [1.005, 1.154], p = 0.036) and of a girl experiencing a marginal decline in physical violence victimization (aOR = 1.07, CI [0.989, 1.158], p = 0.092). Analyses also revealed that older girls had lower odds of experiencing an improvement in schooling participation (aOR = 0.77, CI [0.686, 0.861], p < 0.001), physical violence (aOR = 0.86, CI [0.757, 0.984], p = 0.028), sexual violence (aOR = 0.86, CI [0.743, 1.003], p = 0.055), or emotional violence (aOR = 0.98, CI [0.849, 1.105], p = 0.005). Important limitations in this study include the self-reported nature of outcomes, use of single questionnaire items to construct the outcome variables, and potential self-selection bias.


Results suggest that supporting caregivers to increase gender equitable attitudes may be associated with benefits in dual outcomes of education and safety for adolescent girls in eastern DRC. Further research is needed to better understand how to induce a shift in these attitudes in multisectoral programming.

Trial registration


Author summary

Why was this study done?

  • Adolescent girls in humanitarian emergencies often face numerous risks to their safety and well-being, and these risks can be exacerbated by gender-inequitable attitudes and norms.
  • Caregivers play important roles in the lives of adolescent girls, particularly with regard to girls’ access to education, safety, and the care they receive as dependent minors.
  • This study aimed to understand if changes in gender attitudes among caregivers were associated with changes in violence victimization and schooling of their adolescent girls in South Kivu, Democratic Republic of Congo (DRC).

What did the researchers do and find?

  • The authors used panel data from an evaluation of the COMPASS program in the DRC to understand more about the relationship between changes in gender attitudes among caregivers and improvement in participation in schooling and violence victimization for adolescent girls.
  • By analyzing data from 732 adolescent girls and caregivers at 2 points in time, the authors found that increases in gender-equitable attitudes of caregivers corresponded to statistically significant improvement in schooling participation and marginal declines in physical violence for adolescent girls.
  • Importantly, the authors found that while adolescent girls of all ages experienced less violence and increased schooling participation as their caregivers built more gender-equitable attitudes, these benefits diminished for older girls.

What do these findings mean?

  • Based on their findings, the authors suggest that supporting caregivers to increase gender-equitable attitudes can be an important mechanism for improving adolescent girls’ participation in schooling and decreasing their rates of violence victimization.
  • Findings that point to diminished benefits of increasingly gender-equitable attitudes of caregivers on the safety and school participation of older adolescent girls illustrate the importance of addressing gender attitudes when children and adolescents are as young as possible in order to reap the maximum benefit from these interventions.
  • The authors note a few limitations to their study, the self-reported nature of outcomes, the use of single questionnaire items to construct the outcome variables, and potential self-selection bias.


Girls in adolescence, typically defined as the period from 10 to 19 years, face a multitude of threats to their well-being and safety as a result of gender-inequitable attitudes and norms. These vulnerabilities can range from limited educational and economic opportunities to exposure to child abuse, transactional sex, intimate partner violence (IPV), and child marriage [14]. For example, violence affects 1 in 4 girls under the age of 18 globally and is the second leading cause of death for adolescent girls [57]. Violence victimization during adolescence has been shown to cause numerous adverse health consequences both during adolescence and throughout adulthood, including sexually transmitted infections (STIs), unintended pregnancy, alcohol and substance abuse, depression, posttraumatic stress disorder, and suicide [815]. Additionally, approximately 29% of women ages 20 to 49 worldwide were married before age 18, and married girls are as much as 10 times more likely to drop out of school than their unmarried counterparts [16]. Moreover, adolescence itself is a particularly critical stage of development and susceptibility to social influence; girls exposed to gender-inequitable ideologies or consequences during this period are more likely to face similar experiences into adulthood [17,18].

Preexisting gender-inequitable beliefs and norms are often intensified during humanitarian emergencies, further exacerbating gender-inequitable vulnerabilities girls face during adolescence in these contexts [1921]. Adolescent girls in humanitarian crises face an increased risk of exposure to violence, transactional sex, and forced marriage, while simultaneously being forced to cope with more limited supportive mechanisms [3,20,2224]. For example, a multicountry study found that more than 60% of conflict-affected adolescent girls reported experiencing physical, sexual, or emotional violence [25]. Girls in crisis-affected environments may also face disruptions in schooling due to community instability as a result of conflict [4,26]. Further, conflict and displacement create familial financial constraints, and, in contexts where education is more valued for men, these constraints increase the likelihood that caregivers will prioritize schooling for their sons over their daughters [27]. In fact, girls in conflict-affected areas are more than 2.5 times more likely than boys to be out of school [28]. Inequitable gender expectations may also directly or indirectly pressure girls to drop out of school to help with homemaking or prioritize marriage or pregnancy [27,29].

Evidence from humanitarian and nonhumanitarian settings alike points to the influential role that the family sphere, and caregivers and parents in particular, can play in promoting adolescent girls’ well-being [30,31]. Cross-sectional data suggest that gendered attitudes of caregivers may determine when and how they provide their daughters with emotional support, influence the rules they enact around girls’ mobility, and shape girls’ own attitudes and norms [32]. Caregiver gender-inequitable attitudes also serve as a risk factor for adolescent girls’ exposure to violence, as previous cross-sectional research has found that caregiver acceptance of wife-beating and corporal punishment is associated with an increased risk of abuse of children [33]. Further, evidence from humanitarian settings suggests that mothers who promote accepting attitudes toward IPV are more likely to encourage their daughters to stay in abusive relationships [34]. A wide range of cross-sectional evidence also confirms the associations between caregivers’ attitudes and perceptions on girls’ safety and educational mobility. For example, research has shown that, when faced with resource constraints, caregiver perceptions of the economic return of investing in sons versus daughters may lead to inequitable gender differences in intrahousehold investments [3537]. Educational outcomes associated with these differential investments may include later school enrollment, fewer years of schooling, and lower quality of education for girls as compared to boys [3840].

In the same way that norms and attitudes that endorse gender inequity and violence against women and girls can be harmful to girls, more equitable gender norms can be transformative, promoting girls’ greater involvement in education and consequently improving overall development. Gender-equitable attitudes may increase caregivers’ likelihood of offering intentional support to their adolescent girls, which can, in turn, prevent girls’ risky behaviors and improve positive mental health and coping strategies [41]. Seminal research on the topic of gender-equitable households and risk of violence in low- and middle-income countries indicates that supporting gender-equitable attitudes among caregivers may also have spillover effects on reducing men’s perpetration of physical IPV [4244]; one study conducted in Bangladesh found that men’s childhood exposure to gender-equitable parental decision-making was protective against physical IPV perpetration in adulthood [45]. The reduction of boys’ future perpetration of physical IPV may be an added benefit of gender-equitable interventions, above and beyond improvements in girls’ more immediate schooling and exposure to violence.

In recognition of the relationships between caregiver gender attitudes and violence victimization and schooling of adolescent girls, a burgeoning strategy within humanitarian settings has been to engage caregivers to better support and meet the needs of their adolescent girls by addressing both parenting behaviors as well as gender attitudes and norms among caregivers [12,20]. However, while a small but growing number of approaches are being implemented and evaluated [46,47], promising practices for working with caregivers to improve adolescent girls’ well-being in humanitarian settings have yet to be identified; practitioners working to protect adolescent girls in these contexts have called for an increased understanding of how caregivers can contribute to girls’ well-being and safety [4850]. A prior study using the cross-sectional baseline data alone found that more equitable gender attitudes on the part of girls and caregivers were associated with girls’ participation in formal education [51]. While this and other cross-sectional evidence as outlined above points to the associations between caregivers’ gender equitable attitudes and girls’ well-being, little is known about how changes in attitudes might lead to changes in experiences for girls, particularly in humanitarian settings. For example, in settings with significant resource constraints, a number of factors may contribute to girls being out of school; parents who rely on girls to complete household tasks may not suddenly have the ability to prioritize their daughters’ schooling after developing more gender-equitable attitudes [20]. Developing caregiver programs that ultimately are able to improve girls’ lived experiences requires a more nuanced understanding of mutable caregiver characteristics and family dynamics.

The present study adds to existing literature about the associations between caregivers’ gender-equitable attitudes and improved outcomes of well-being for girls. While the cross-sectional nature of these associations is better documented, less is known about whether changes in caregivers’ attitudes can engender corresponding changes in experiences for girls. This study seeks to fill these gaps in knowledge by analyzing the associations between improved gender equitable attitudes among caregivers and changes in schooling and violence victimization for girls in a conflict-affected setting in the Democratic Republic of the Congo (DRC). Furthermore, the literature on these family relationships in humanitarian settings specifically are still developing; the findings presented here add to this growing evidence base.


Study setting and design

Data analyzed for this study were collected as part of a mixed-methods, cluster-randomized controlled trial (registration #NCT02384642) evaluating the Creating Opportunities through Mentorship, Parental Involvement, and Safe Spaces (COMPASS) program. The evaluation sought to examine the incremental impact of adding a caregiver curriculum to a 12-month girls’ life skills and empowerment program. Adult and adolescent participants were recruited in May 2015, with the initial data collection phase taking place from May to July 2015 and endline data being collected from August to October 2016. COMPASS was implemented in 14 village sites across conflict-affected South Kivu, the current home to nearly 15% of DRC’s internally displaced population [49,52]. The risks of violence for adolescent girls in protracted conflicts in general, and in the Kivus specifically, are well documented; approximately 50% of girls ages 10 to 14 years in this setting report having experienced at least some form of violence in the last 12 months [53].

Study participants comprised caregivers and girls ages 10 to 14 years who spoke Swahili, French, or Mashi. Separate survey questionnaires were employed for girls and caregivers. The girls’ questionnaire collected information on a range of topics, including, but not limited to, physical, emotional, and sexual violence exposure, schooling, life aspirations, and other health- and sexual-related behaviors; the caregiver questionnaire captured information on harsh discipline practices, parental acceptance and rejection, and gender-inequitable attitudes. Baseline questionnaires were administered from May to July 2015, and the surveys were readministered to the same sample at endline from August to October 2016. Both the girls’ and caregivers’ surveys were available in Swahili, French, or Mashi, and trained interviewers comprised native speakers of all 3 languages. The caregiver questionnaire and the majority of the girl questionnaire were administered by an interviewer using computer-assisted personal interviewing (CAPI). More sensitive questions for girls, such as those on sexual behaviors and exposure to violence, were self-administered using audio computer-assisted self-interview (ACASI) software [54]. Further, some of the sensitive questions around marriage and sexual violence were not administered to 10- to 12-year-olds due to ethical and cultural concerns. All data were collected in private rooms provided by local community-based organizations.

Informed consent was obtained for all married participants and those aged 18 and older; parental consent and adolescent assent were collected for all unmarried girls under 18. Baseline and endline data for both caregivers and girls were available for 732 girls. Further information on the study design, procedures, participant selection, and follow-up, including sample size calculations, is detailed elsewhere [46,49].

This study is reported as per the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline (S1 Checklist).

Predictor and outcomes of interest

This study presents secondary analyses of the COMPASS data, for which the analytical plan was developed following completion of the trial. In order to examine how changes in caregiver attitudes were associated with changes in outcomes for girls, the present study leveraged the panel structure of the data. Given the post-conflict nature of the study setting, the a priori hypothesized trajectory was that girls would exhibit improvement in outcomes, if they exhibited any change at all. The predictor of interest was the change in caregivers’ gender-equitable attitudes between baseline and endline. Caregivers’ gender-equitable attitudes were measured at each point in time using 10 underlying survey questions [54]. Caregivers were asked to agree or disagree with 10 statements related to gender roles and dynamics, such as “it is more important that sons have education than daughters,” “if there is a limited amount of money to pay for schooling/tutoring, it should be spent on sons first,” and “a good woman never questions her husband’s opinions, even if she is not sure she agrees with them,” among others. A caregiver’s gender-equitable attitude score was created to equal the number of statements a caregiver disagreed with and could thus assume a value from 0 to 10. As such, higher scores reflect more gender-equitable attitudes. The Cronbach alpha for the scale at baseline and endline was 0.799 and 0.821, respectively, indicating acceptable internal consistency at both time points. Changes in gender-equitable attitudes were calculated by subtracting baseline scores from endline scores, where the change may range from −10 to 10. Girl’s age was also included in the analytical model as age in years.

The primary outcomes of interest comprised improvement in schooling participation and declines in physical, sexual, and emotional violence, and feeling uncared for. In the cross-section, school participation was operationalized as a categorical variable grouping girls into 1 of 4 categories: (1) those who reported never attending school; (2) those who attended school some point but missed the entire last year; (3) those who reported current enrollment in school but missed at least 1 day in the past week; and (4) those who reported currently attending school and did not miss any days in the last week [26]. For the regression analysis, “improvement in school participation” was defined in the binary; respondents received a value of “1” if they experienced an improvement in the categorical schooling variable and received a “0” otherwise.

Exposure to past-year physical violence was constructed from a single item and defined in the binary; girls who reported that someone had “hit or beat and hurt [their] body” in the past 12 months were categorized as having experienced physical violence. For 13- to 14-year-olds, past-year sexual violence was defined as a “1” if the respondent reported having been “touched in a sexual way without permission,” been in a situation where someone “tried to use their influence or authority to threaten or pressure [the respondent] into having sex,” or had “sex unwillingly” within the last 12 months; the outcome included coerced sex and unwanted sexual touching only for 10- to 12-year-olds, as younger girls were not asked about their exposure to forced sex. Past-year exposure to emotional violence was constructed from a single question item and captured whether anyone had “screamed or aggressively yelled” at the girl respondent in the past 12 months, and feeling uncared for was defined when a girl reported “feeling uncared for” by the person responsible for their caregiving. For analysis, an improvement in each of the 4 outcomes was defined in the binary, where respondents received a “1” if they reported experiencing the outcome in the past 12 months at baseline but not at endline and received a “0” otherwise.


Descriptive statistics for all variables of interest were first summarized for baseline and endline, and differences between the 2 time points for the full sample were assessed using chi-squared and paired t tests for dichotomous and continuous variables, respectively. Logistic regression was used to estimate the difference in the outcomes of interest referenced above. Independent variables included in each regression comprised the change in caregivers’ equitable attitudes between baseline and endline, girls’ age, caregivers’ age, caregivers’ gender, treatment status, and village fixed effects. Data were missing for approximately 10% of the sample at each time point. We implemented sensitivity analyses on imputed data in order to ensure that findings were robust to any potential bias deriving from missingness. A multiple imputation approach was utilized to address missing predictors and outcomes. Using “Mi impute” in Stata, a set of 10 imputations was generated for each missing value. All analyses were conducted using Stata14.

Ethics approval

This study was approved by the Columbia University Medical Center Institutional Review Board (protocol number AAAP6855) and the Ministry of Gender in South Kivu, DRC. Written consent was obtained for all participants.


Table 1 presents baseline and endline characteristics for the sample. On average, girls and caregivers were 12 and 40.7 years old, respectively, at baseline, and approximately 92% of caregivers were female. Overall, girls’ school participation improved between baseline and endline; while 20.7% of the sample had never attended school at baseline, this figure decreased to 14.6% at endline. Improvements for girls who had been in school at some point, but who missed all of the previous year, or who had missed one or more days of school in the past week, were also observed between the 2 points of data collection. There was evidence of a decline in physical and sexual violence (41.9% to 25.8% (p = 0.014) and 24.3% to 18.9% (p = 0.014), respectively), and apparent declines in feeling uncared for and emotional violence (48.1% to 43.5% (p = 0.087) and 43.2% to 38.8% (p = 0.076), respectively) were also observed but did not reach statistical significance. Finally, caregivers’ gender-equitable attitudes increased from 3.35 to 4.05 between baseline and endline (p < 0.001).

Table 1. Variables of interest, baseline and endline (n = 732).

Table 2 shows improvements in the predictor and outcomes of interest at the individual level. A little over 35% of girls reported an improvement along the continuum of school participation; the remaining sample saw either no change or a decline in school participation. Additionally, approximately one-fifth to one-fourth of the sample reported experiencing either physical, sexual, emotional violence, or feeling uncared for at baseline but not at endline.

Findings from the adjusted regression analyses are presented in Table 3 (see S1 Table for unadjusted results). Each one-point increase from baseline to endline in a caregiver’s gender-equitable attitude score was found to be associated with 1.08 greater odds of a girl experiencing an improvement in school participation (95% CI [1.005, 1.154]; p = 0.036) and marginally greater odds of a girl experiencing a decline in physical violence victimization (aOR = 1.07; 95% CI [0.989, 1.158]; p = 0.092). Changes in caregivers’ attitudes were not found to be associated with sexual (95% CI [0.927, 1.112]; p = 0.746) or emotional violence (95% CI [0.946, 1.114]; p = 0.524) or feeling uncared for (95% CI [0.946, 1.114]; p = 0.510).

Table 3. Estimating changes in girls’ outcomes, adjusted odds ratios.

Regression analyses also revealed that older girls had lower odds of experiencing an improvement in school participation (aOR = 0.77; 95% CI [0.686, 0.861]; p < 0.001), physical violence (aOR = 0.86; 95% CI [0.757, 0.984]; p = 0.028), or emotional violence (aOR = 0.82; 95% CI [0.717, 0.942]; p = 0.005). All findings remained robust to sensitivity analysis using imputed data (see S2 Table).


Overall, these analyses reveal that over time, adolescent girls’ school participation improved, their experiences of violence reduced, and caregiver gender-equitable attitudes improved. Changes observed in gender-equitable attitudes among caregivers were also associated with marginally significant reductions in physical violence against adolescent girls and significant improvements in school participation, while no statistically significant observed effects were noted for other outcomes. These findings build on the baseline analysis of these data that suggested that targeting caregivers’ gender-equitable attitudes may be a useful strategy as part of a comprehensive approach for improving school participation [51]. By detailing how improvements in gender-equitable attitudes continued to be associated with higher levels of school participation over time, these findings support this earlier work and align with previous research demonstrating that caregiver attitudes and support toward schooling are critical components of retention [55]. These approaches may be grafted to more traditional educational programming that seeks to improve student academic and psychosocial outcomes through establishing cooperative and supportive learning environments within school settings. Importantly, these findings continue to support the importance of addressing the home environment for student success, particularly for girl children, in addition to school and teacher-centered interventions seeking to improve educational outcomes that have been previously evaluated in DRC [56,57]. Holistic attention to actors throughout the ecological model beyond caregivers may be particularly important for adolescent girls in conflict-affected settings, given the increased barriers to retention due to displacement, instability or underinvestment, and poor quality of schools in these settings [58,59].

Further, addressing caregiver gender-equitable attitudes may also lead to overall decreased likelihood of violence, particularly physical violence, which may be perpetrated by a caregiver, partner, or other person. Potential impact of caregiver-focused programs for adolescent girls may be strengthened through the use of cash incentives [47], which may also improve participation in programming, cognitive bandwidth for caregivers, reduce stress, or operate through other potential pathways. It is also important to recognize that, given the known associations between community-level gender norms and risk of violence for women, holistic attention to actors throughout the ecological model is needed in order to induce sustainable change in outcomes for girls [6064]. While the regression models in this study accounted for community influence through the inclusion of village-level fixed effects, further research could usefully examine the comparative impact of caregiver and community norms and attitudes on girls’ outcomes. Additionally, research is needed to understand how to maximize the potential for caregiver gender-equitable attitudes on improving the safety and well-being of adolescent girls as part of a broader strategy to influence community norms and males’ attitudes and behaviors in the community, particularly for sexual violence outcomes. A small but growing body of research is working to develop parenting programs to improve adolescent outcomes [65,66], but this remains a substantial knowledge gap in the violence prevention field [67].

It is also important to note that an improvement in gender-equitable attitudes was not associated with improvements in sexual violence, emotional violence, or feeling uncared for. While caregivers may be more likely to perpetrate physical abuse, sexual violence by caregivers (including male caregivers) has a different etiology. As such, it is perhaps not unsurprising that improvements in attitudes for caregivers were not associated with declines in sexual violence for girls. Similarly, male partners, who might be more likely to perpetrate IPV, would not necessarily be influenced by caregiver attitudes. Emotional violence, while sometimes perpetrated by caregivers, can also be committed by others, such as older siblings or peers [68]. Additional research is needed to understand the added value for girls of targeting gender attitudes among other family members and individuals involved in girls’ lives.

Notably, older girls were more likely to experience decreased odds of improved school participation and increases in violence between baseline and endline. This points to the importance of reaching girls at younger ages, as early as possible, to maximize potential effectiveness of violence prevention and educational retention programming. Simultaneously, given approximately 2 in 5 and 1 in 4 girls reported experiencing violence at baseline, findings point to the need for comprehensive response services to mitigate any negative impacts of experiencing violence. Future studies should examine for changes over time and effect modification of age. For example, a recent study in DRC found strengthened change for younger girls between 10 and 13 years as compared to older girls (14 to 15 years) on outcomes related to asset building through pathways of economic empowerment and increased opportunities for younger girls [69]. On the other hand, older adolescent girls were more likely to demonstrate higher school attendance than younger girls. Nuanced disaggregation and analysis of programming impacts are needed during this critical period of development.

Data presented in this study were from a randomized controlled trial evaluating the incremental impact of a caregiver component attached to an adolescent girl life skills program. Results from the parent trial revealed that this additional component did not confer additional reductions of sexual and other forms of violence or improvements in gender attitudes, though some caregiver parenting behaviors such as warmth toward their adolescent girl improved [49]. Limitations of this trial included an overlap of intervention delivery and follow-up period for the endline outcomes as well as evaluation of a program that was not fully piloted by programmatic teams before rigorous evaluation at the request of the donor. Additionally, it is important to note that girls chose the caregiver they wanted to participate in the program, of which more than 90% selected a female caregiver. It is reasonable to assume that improved gender attitudes among fathers may also confer additional benefits, but more research is needed to ascertain whether male caregivers’ attitudes are simply correlated with female caregivers’ attitudes, whether male caregivers drive their female partners’ attitudes or whether this causal relationship operates in the opposite direction. Further, this group-based program was randomized within communities that were not highly geographically dispersed in order to increase statistical power of the study. Given that the present longitudinal analysis demonstrates improvement in caregiver gender-equitable attitudes over time, possible spillover between caregiver groups who received the program and those who were waitlisted was possible. In addition, all adolescent girls participated in the life skills program. It is also possible that adolescent girls brought information home to discuss with their caregivers, as all girls were part of the program, which, in turn, improved caregiver gender-equitable attitudes, regardless of one’s own participation in the caregiver component of the program. Future studies should assess for potential spillover, including more robust process evaluations to triangulate findings. Additionally, while we note change over time in both schooling and gender attitudes, it is also plausible that caregiver’s attitudes on gender equality improved as their adolescent girls went to school, which may have also decreased their corporal punishment against girls.

Inferences from this study are limited due to a few main factors. First, data were only collected at 2 time points, and it remains unclear whether these trends attenuate or strengthen over time. Second, given the a priori hypothesis, the outcomes of interest were operationalized such that only detection of positive changes were possible. Future research might consider how regression in caregivers’ gender-equitable attitudes might lead to a worsening of outcomes for adolescent girls. Third, all outcomes were self-reported; results may be biased due to underreporting related to the sensitive nature of these outcomes. Fourth, the sample for this analysis was drawn using convenience sampling from community members who were interested in participating in a life skills program for adolescent girls. Selection bias may have been present in which girls and their caregivers already on the pathway to improved outcomes were more likely to want to participate in such programming, limiting our ability to generalize the findings more widely in DRC. Lastly, the outcome variables for feeling uncared for and for physical, emotional, and sexual violence were constructed from single items in the questionnaire. Given that a validated or normed scale that consists of multiple questions to assess exposure to violence was not used, the single keyword questions used to construct the outcomes may have underestimated the true occurrence of violence, potentially attenuating results toward the null.


In summary, early intervention for adolescent girls and supporting caregivers to increase gender-equitable attitudes may be an important strategy to improve dual outcomes of educational and safety outcomes for adolescent girls in eastern DRC. Further research is critical to generate a better understanding of how to actually induce a shift in these attitudes in multisectoral programming that seeks to improve educational and safety outcomes for adolescent girls in humanitarian settings.

Supporting information

S1 Strobe checklist. Outline of items included in study and their location in the article.


S1 Table. Estimating changes in girl’s outcomes, unadjusted odds ratios.


S2 Table. Estimating changes in girl’s outcomes on imputed data, beta coefficients.



This study is part of the Creating Opportunities through Mentorship, Parental Involvement, and Safe Spaces (COMPASS) Program Evaluation. We would like to thank the many IRC COMPASS staff, our trainers, Teame Tesfay Gessesse and Cecile Fanton D’Andon, and the girls who participated in this study.


  1. 1. Bantebya GK, Muhanguzi FK, Watson C. Adolescent girls in the balance: Changes and continuity in social norms and practices around marriage and education in Uganda. 2014;184.
  2. 2. Guedes A, Bott S, Garcia-Moreno C, Colombini M. Bridging the gaps: a global review of intersections of violence against women and violence against children. Glob Health Action [Internet]. 2016 Jun 20 [cited 2020 Jun 24];9. Available from: pmid:27329936
  3. 3. UNICEF. A statistical snapshot of violence against adolescent girls. N Y UNICEF. 2014.
  4. 4. Van der Gaag N, Headquarters PI. Because I Am a Girl: The State of the World’s Girls 2008: Special Focus: in the Shadow of War. Plan; 2011.
  5. 5. Hidden in Plain Sight: A statistical analysis of violence against children [Internet]. UNICEF. 2014 [cited 2020 Jun 24]. Available from:
  6. 6. Macmillan R. Violence and the life course: The consequences of victimization for personal and social development. Annu Rev Sociol. 2001;27(1):1–22.
  7. 7. WHO. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence [Internet]. Geneva: World Health Organization; 2015 [cited 2020 Mar 31]. Available from:
  8. 8. Boney-McCoy S, Finkelhor D. Is youth victimization related to trauma symptoms and depression after controlling for prior symptoms and family relationships? A longitudinal, prospective study. J Consult Clin Psychol. 1996;64(6):1406. pmid:8991327
  9. 9. Campbell JC. Health consequences of intimate partner violence. Lancet. 2002 Apr 13;359(9314):1331–6. pmid:11965295
  10. 10. Exner-Cortens D, Eckenrode J, Rothman E. Longitudinal associations between teen dating violence victimization and adverse health outcomes. Pediatrics. 2013;131(1):71–8. pmid:23230075
  11. 11. Heise L, Greene ME, Opper N, Stavropoulou M, Harper C, Nascimento M, et al. Gender inequality and restrictive gender norms: framing the challenges to health. Lancet. 2019 Jun;393(10189):2440–54. pmid:31155275
  12. 12. John NA, Stoebenau K, Ritter S, Edmeades J. Balvin N. Gender Socialization during Adolescence in Low- and Middle-Income Countries. 2017;63.
  13. 13. Kågesten A, Gibbs S, Blum RW, Moreau C, Chandra-Mouli V, Herbert A, et al. Understanding Factors that Shape Gender Attitudes in Early Adolescence Globally: A Mixed-Methods Systematic Review. PLoS ONE. 2016 Jun 24;11(6):e0157805. pmid:27341206
  14. 14. Silverman JG, Raj A, Mucci LA, Hathaway JE. Dating violence against adolescent girls and associated substance use, unhealthy weight control, sexual risk behavior, pregnancy, and suicidality. JAMA. 2001;286(5):572–9. pmid:11476659
  15. 15. Zablotska IB, Gray RH, Koenig MA, Serwadda D, Nalugoda F, Kigozi G, et al. Alcohol use, intimate partner violence, sexual coercion and HIV among women aged 15–24 in Rakai. Uganda AIDS Behav. 2009;13(2):225–33. pmid:18064556
  16. 16. Sekine K, Hodgkin ME. Effect of child marriage on girls’ school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014. Gammage S, editor. PLoS ONE. 2017 Jul 20;12(7):e0180176. pmid:28727793
  17. 17. Poortman A-R, Van Tilburg TG. Past experiences and older adults’ attitudes: a lifecourse perspective. Ageing Soc. 2005 Jan;25(01):19–39.
  18. 18. Smith TE, Leaper C. Self-Perceived Gender Typicality and the Peer Context During Adolescence. J Res Adolesc. 2006 Mar;16(1):91–104.
  19. 19. Annan J, Brier M. The risk of return: Intimate partner violence in Northern Uganda’s armed conflict. Soc Sci Med. 2010 Jan 1;70(1):152–9. pmid:19853985
  20. 20. Noble E, Ward L, French S, Falb K. State of the Evidence: A Systematic Review of Approaches to Reduce Gender-Based Violence and Support the Empowerment of Adolescent Girls in Humanitarian Settings. Trauma Violence Abuse. 2017 Jan;1:1524838017699601. pmid:29334024
  21. 21. Stark L, Seff I, Reis C. Gender-based violence against adolescent girls in humanitarian settings: a review of the evidence. Lancet Child Adolesc Health. 2021 Mar 1;5(3):210–22. pmid:33220789
  22. 22. Stark L, Landis D. Measuring violence against children in humanitarian settings: (500792015–230) [Internet]. American Psychological Association; 2014 [cited 2020 May 25]. Available from:
  23. 23. UNHCR. Save the Children-UK. Sexual Violence & Exploitation: The Experience of Refugee Children in Guinea, Liberia and Sierra Leone. 2002.
  24. 24. UNICEF. Machel Study 10-Year Strategic Review: Children and Conflict in a Changing World. 2009.
  25. 25. Stark L, Asghar K, Yu G, Bora C, Baysa AA, Falb KL. Prevalence and associated risk factors of violence against conflict–affected female adolescents: a multi–country, cross–sectional study. J Glob Health [Internet]. 2017 [cited 2020 Jun 24];7(1). Available from: pmid:28607672
  26. 26. Landis D, Yu G, Tanner S, Karungu C, Mallinga P, Falb K, et al. Examining participation in formal education and exposure to violence among girls in the Democratic Republic of the Congo. Compare. 2018;49(5):817–36.
  27. 27. Kirk J. Gender, forced migration and education: identities and experiences of refugee women teachers. Gend Educ. 2010;22(2):161–76.
  28. 28. UNESCO. Impact of conflict on children’s health and disability [Internet]. 2016 [cited 2020 Mar 22]. Available from:
  29. 29. Grant MJ, Hallman KK. Pregnancy-related School Dropout and Prior School Performance in KwaZulu-Natal. South Africa Stud Fam Plann. 2008;39(4):369–82. pmid:19248721
  30. 30. Daly AJ. Social Network Theory and Educational Change. Harvard Education Press. 2010;521.
  31. 31. Glass N, Kohli A, Surkan PJ, Remy MM, Perrin N. The relationship between parent mental health and intimate partner violence on adolescent behavior, stigma and school attendance in families in rural Democratic Republic of Congo. Glob Ment Health [Internet]. 2018 [cited 2020 Sep 1];5. Available from: pmid:29868240
  32. 32. Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium p. Soc Sci. 2000;15.
  33. 33. Lansford JE, Deater-Deckard K, Bornstein MH, Putnick DL, Bradley RH. Attitudes justifying domestic violence predict endorsement of corporal punishment and physical and psychological aggression towards children: a study in 25 low- and middle-income countries. J Pediatr. 2014 May;164(5):1208–13. pmid:24412139
  34. 34. Sommer M, Muñoz-Laboy M, Williams A, Mayevskaya Y, Falb K, Abdella G, et al. How gender norms are reinforced through violence against adolescent girls in two conflict-affected populations. Child Abuse Negl. 2018 May;79:154–63. pmid:29471217
  35. 35. Dhar D, Jain T, Jayachandran S. Intergenerational Transmission of Gender Attitudes: Evidence from India. J Dev Stud. 2019 Dec 2;55(12):2572–92.
  36. 36. Orazem P, King E. Schooling in Developing Countries: The Roles of Supply, Demand and Government Policy. In: Schultz T, Strauss J, editors. Handbook of Development Economics. North Holland; 2007. 4. p. 3475–559.
  37. 37. Rosenzweig MR, Schultz TP. Market Opportunities, Genetic Endowments, and Intrafamily Resource Distribution: Child Survival in Rural India. Am Econ Rev. 1982;72(4):803–15.
  38. 38. Begum L, Grossman P, Islam A. Parental attitude and investment in children’s education and health in development countries. Monash University Business and Economics; 2014 p. 1–30. (Discussion Paper). Report No.: 1441–5429.
  39. 39. Davison J. School attainment and gender: Attitudes of Kenyan and Malawian parents toward educating girls. Int J Educ Dev. 1993 Oct 1;13(4):331–8.
  40. 40. Sarker SI. Parental Educational Aspiration and Gender Inequality of Rural Children in Bangladesh: The Role of Parental Attitudes of Traditional Gender Role, Gender Biased Capability, and Gender. 2017;18(2):10.
  41. 41. Cherewick M, Glass N. Caregiver and community insights on coping strategies used by adolescents living in conflict-affected communities. Glob Public Health. 2018 Sep 2;13(9):1322–36. pmid:29086627
  42. 42. Grusec JE, Goodnow JJ, Kuczynski L. New directions in analyses of parenting contributions to children’s acquisition of values. Child Dev [Internet]. 2000 [cited 2020 Nov 11];71(1):205–11. Available from: pmid:10836575
  43. 43. Jakupcak M, Lisak D, Roemer L. The Role of Masculine Ideology and Masculine Gender Role Stress in Men’s Perpetration of Relationship Violence. Psychol Men Masculinity. 2002 Jul;3(2):97–106.
  44. 44. Jewkes R. Intimate partner violence: Causes and prevention. Lancet. 2002;359:1423–9. pmid:11978358
  45. 45. Semenza DC, Roof KA, James-Hawkins L, Cheong YF, Naved RT, Yount KM. Gender-Equitable Parental Decision Making and Intimate Partner Violence Perpetration in Bangladesh. J Marriage Fam [Internet]. 2019 Aug 17 [cited 2020 Nov 11];81(4):920–35. Available from:
  46. 46. Falb KL, Tanner S, Ward L, Erksine D, Noble E, Assazenew A, et al. Creating opportunities through mentorship, parental involvement, and safe spaces (COMPASS) program: Multi-country study protocol to protect girls from violence in humanitarian settings. BMC Public Health [Internet]. 2016;16(1). Available from:
  47. 47. Özler B, Hallman K, Guimond M-F, Kelvin EA, Rogers M, Karnley E. Girl Empower–A gender transformative mentoring and cash transfer intervention to promote adolescent wellbeing: Impact findings from a cluster-randomized controlled trial in Liberia. SSM—Popul Health. 2020 Apr;10:100527. pmid:31890847
  48. 48. Falb KL, Asghar K, Laird B, Tanner S, Graybill E, Mallinga P, et al. Caregiver parenting and gender attitudes: Associations with violence against adolescent girls in South Kivu, Democratic Republic of Congo. Child Abuse Negl. 2017 Jul;69:278–84. pmid:28500924
  49. 49. Stark L, Seff I, Asghar K, Roth D, Bakamore T, MacRae M, et al. Building caregivers’ emotional, parental and social support skills to prevent violence against adolescent girls: findings from a cluster randomised controlled trial in Democratic Republic of Congo. BMJ Glob Health. 2018;3(5). pmid:30398222
  50. 50. Tanner S, O’Connor M. A Safe Place to Shine: Creating Opportunities and Raising Voices of Adolescent Girls in Humanitarian Settings. International Rescue Committee; 2017.
  51. 51. Landis D. Examining Participation in Formal Education and Exposure to Violence among Girls in the Democratic Republic of the Congo (DRC) [Internet]. Columbia University; 2018. Available from:
  52. 52. UNOCHA. Democratic Republic of Congo: Internally Displaced Persons and Returnees [Internet]. 2018. Available from:
  53. 53. Falb K, Tanner S, Asghar K, Souidi S, Mierzwa S, Assazenew A, et al. Implementation of Audio-Computer Assisted Self-Interview (ACASI) among adolescent girls in humanitarian settings: feasibility, acceptability, and lessons learned. Confl Health [Internet]. 2016 Dec [cited 2020 Jun 29];10(1). Available from:
  54. 54. Nanda G. Compendium of Gender Scales. Washington, DC: FHI 360/C-Change; 2011.
  55. 55. Aber JL, Tubbs C, Torrente C, Halpin PF, Johnston B, Starkey L, et al. Promoting children’s learning and development in conflict-affected countries: Testing change process in the Democratic Republic of the Congo. Dev Psychopathol. 2017 Feb;29(1):53–67. pmid:27866501
  56. 56. Torrente C, Johnston B, Starkey L, Seidman E, Shivshanker A, Weisenhorn N, et al. Improving the Quality of School Interactions and Student Well-Being: Impacts of One Year of a School-Based Program in the Democratic Republic of Congo. 2017 [cited 2020 Sep 1]. Available from:
  57. 57. Wolf S, Torrente C, Frisoli P, Weisenhorn N, Shivshanker A, Annan J, et al. Preliminary impacts of the “Learning to Read in a Healing Classroom” intervention on teacher well-being in the Democratic Republic of the Congo. Teach Teach Educ. 2015 Nov;52:24–36.
  58. 58. Bolton L. Barriers to education for girls in the Democratic Republic of Congo. K4D. 2020.
  59. 59. Dryden-Peterson S. Barriers to Accessing Primary Education in Conflict-Affected Fragile States. Save the Children; 2009.
  60. 60. Clark CJ, Ferguson G, Shrestha B, Shrestha PN, Oakes JM, Gupta J, et al. Social norms and women’s risk of intimate partner violence in Nepal. Soc Sci Med [Internet]. 2018 Apr 1 [cited 2020 Nov 11];202:162–9. Available from:
  61. 61. Yount KM, James-Hawkins L, Cheong YF, Naved RT. Men’s perpetration of partner violence in Bangladesh: Community gender norms and violence in childhood. Psychol Men Masculinity [Internet]. 2018 Jan 1 [cited 2020 Nov 11];19(1):117–30. Available from: /record/2016-45107-001 pmid:29520198
  62. 62. James-Hawkins L, Cheong YF, Naved RT, Yount KM. Gender norms, violence in childhood, and men’s coercive control in marriage: A multilevel analysis of young men in Bangladesh. Psychol Violence [Internet]. 2018 Sep 1 [cited 2020 Nov 11];8(5):580–95. Available from: /record/2017-46214-001 pmid:30225157
  63. 63. VanderEnde KE, Yount KM, Dynes MM, Sibley LM. Community-level correlates of intimate partner violence against women globally: A systematic review [Internet]. Soc Sci Med. 2012 [cited 2020 Nov 11];75:1143–55. Available from: /record/2012-20605-001 pmid:22762950
  64. 64. Yount KM, Roof KA, Naved RT. Multilevel influences on men’s partner violence justification, control over family decisions, and partner violence perpetration in Bangladesh. Psychol Violence [Internet]. 2018 May 1 [cited 2020 Nov 11];8(3):367–78. Available from: /record/2018-14186-001
  65. 65. Cluver L, Meinck F, Shenderovich Y, Ward CL, Romero RH, Redfern A, et al. A parenting programme to prevent abuse of adolescents in South Africa: study protocol for a randomised controlled trial. Trials [Internet]. 2016 Dec [cited 2020 Sep 1];17(1). Available from: pmid:27435171
  66. 66. Cluver LD, Lachman JM, Ward CL, Gardner F, Peterson T, Hutchings JM, et al. Development of a Parenting Support Program to Prevent Abuse of Adolescents in South Africa: Findings from a Pilot Pre-Post Study. Res Soc Work Pract. 2017 Nov;27(7):758–66.
  67. 67. Bacchus LJ, Colombini M, Contreras Urbina M, Howarth E, Gardner F, Annan J, et al. Exploring opportunities for coordinated responses to intimate partner violence and child maltreatment in low and middle income countries: a scoping review. Psychol Health Med. 2017;22(sup1):135–65. pmid:28150500
  68. 68. Ellsberg M, Vyas A, Madrid B, Quintanilla M, Zelaya J, & Stöckl H. Violence against adolescent girls: Falling through the cracks; 2017.
  69. 69. Glass N, Remy MM, Mayo-Wilson LJ, Kohli A, Sommer M, Turner R, et al. Comparative effectiveness of an economic empowerment program on adolescent economic assets, education and health in a humanitarian setting. BMC Public Health [Internet]. 2020 Dec [cited 2020 Sep 1];20(1). Available from: