Maltreatment in childhood and intimate partner violence: A latent class growth analysis in a South African pregnancy cohort

listen audio

Study Justification:
– Intimate partner violence (IPV) is a significant global problem, particularly in low and middle-income countries.
– IPV during the perinatal and early postnatal period is linked to negative maternal and child health outcomes.
– There is a lack of research on profiles of IPV and early life adversity in low resource settings.
– This study aims to fill this gap and provide insights into the relationship between maternal maltreatment in childhood and IPV exposure during pregnancy and postnatally.
Study Highlights:
– The study was conducted in the Drakenstein Child Health Study, a longitudinal birth cohort in South Africa.
– Maternal IPV (emotional, physical, and sexual) was measured at six timepoints from pregnancy to two years postpartum.
– Maternal maltreatment in childhood was measured antenatally at 28-32 weeks’ gestation.
– Latent class growth analysis was used to identify patterns of maternal IPV exposure.
– High levels of maternal maltreatment during childhood (34%) and IPV during pregnancy (33%) were observed.
– Different classes of IPV exposure were identified, including no/low, moderate, and high intensity classes.
– Maternal childhood sexual abuse, physical abuse and neglect, and emotional abuse predicted membership in high IPV classes.
Recommendations for Lay Reader and Policy Maker:
– Intervening early to disrupt the cycle of abuse is critical to two generations.
– Policies and interventions should focus on addressing maternal maltreatment in childhood as a risk factor for IPV exposure during and around pregnancy.
– Support services should be provided to women who have experienced childhood maltreatment and are at risk of experiencing high or moderate intensity IPV.
Key Role Players:
– Researchers and academics in the field of child health and IPV.
– Policy makers and government officials responsible for developing and implementing interventions to address IPV.
– Healthcare professionals and social workers who can provide support and services to women affected by IPV.
– Community organizations and NGOs that specialize in providing support to survivors of IPV.
Cost Items for Planning Recommendations:
– Funding for research and data collection.
– Training and capacity building for healthcare professionals and social workers.
– Development and implementation of intervention programs.
– Awareness campaigns and public education initiatives.
– Evaluation and monitoring of interventions.
– Collaboration and coordination between different stakeholders and organizations.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a longitudinal birth cohort study with a large sample size (n = 832) and multiple timepoints of data collection. The study also uses validated measures for intimate partner violence (IPV) and childhood maltreatment. However, to improve the evidence, the abstract could provide more details on the statistical analysis methods used and the specific results of the study, such as effect sizes and p-values. Additionally, including information on the representativeness of the study sample and any potential limitations would further strengthen the evidence.

Intimate partner violence (IPV) is a significant global problem, prevalent in low and middle-income countries (LMICs). IPV is particularly problematic during the perinatal and early postnatal period, where it is linked with negative maternal and child health outcomes. There has been little examination of profiles of IPV and early life adversity in LMIC contexts. We aimed to characterize longitudinal IPV and to investigate maternal maltreatment in childhood as a predictor of IPV exposure during pregnancy and postnatally in a low resource setting. This study was nested in the Drakenstein Child Health Study, a longitudinal birth cohort. Maternal IPV (emotional, physical and sexual) was measured at six timepoints from pregnancy to two years postpartum (n = 832); sociodemographic variables and maternal maltreatment in childhood were measured antenatally at 28–32 weeks’ gestation. Associations between maternal maltreatment in childhood and IPV latent class membership (to identify patterns of maternal IPV exposure) were estimated using multinomial and logistic regression. We observed high levels of maternal maltreatment during childhood (34%) and IPV during pregnancy (33%). In latent class analysis separating by IPV sub-type, two latent classes of no/low and moderate sexual IPV and three classes of low, moderate, and high emotional and physical IPV (separately) were detected. In combined latent class analysis, including all IPV sub-types together, a low, moderate and high exposure class emerged as well as a high antenatal/decreasing postnatal class. Moderate and high classes for all IPV sub-types and combined analysis showed stable intensity profiles. Maternal childhood sexual abuse, physical abuse and neglect, and emotional abuse predicted membership in high IPV classes, across all domains of IPV (aORs between 1.99 and 5.86). Maternal maltreatment in childhood was associated with increased probability of experiencing high or moderate intensity IPV during and around pregnancy; emotional neglect was associated with decreasing IPV class for combined model. Intervening early to disrupt this cycle of abuse is critical to two generations.

This study is nested in the Drakenstein Child Health Study (DCHS), a multidisciplinary birth cohort investigating the determinants of child health in a peri-urban area in South Africa (Stein et al., 2015; Zar, Barnett, Myer, Stein, & Nicol, 2015). Data used in the current study were collected from pregnant women enrolled into the DCHS from March 2012 to March 2015. The DCHS is located in the Drakenstein area in the town of Paarl, a peri-urban area, 60 km outside Cape Town, South Africa with a population of approximately 200,000. More than 90% of the population access health care in the public sector including antenatal and child health services. This area has a well-established, free primary health care system. An area of focus in the DCHS is investigating maternal psychosocial risk factors of child health (Stein et al., 2015). Pregnant women were recruited from two primary health care clinics, Mbekweni (serving a predominantly black African community) and TC Newman (serving a mixed ancestry community). Mothers were enrolled in the DCHS at 20 to 28 weeks’ gestation while attending routine antenatal care and are prospectively followed through their pregnancy until 5 years postnatally. Women were eligible for the study if they were 18 years or older, between 20–28 weeks gestation, planned attendance at one of the two recruitment clinics and intended to remain in the area. Data included in the current study were collected antenatally at 28–32 weeks’ gestation and postnatally at 10 weeks, 6, 12, 18 and 24 months. Between March 2012 and March 2015, 1225 pregnant women were enrolled into the DCHS antenatally; 88 (7.2%) mothers were lost to follow up antenatally, had a miscarriage or a stillbirth. Of the 1137 women who had live births, 100 mothers did not attend the second antenatal visit, where sociodemographic variables and childhood maltreatment data were collected. Of the 1037 mothers who did attend this visit, 832 (80%) were included in this analysis, restricted to those who contributed data for at least 3 of the 6 time points. A sensitivity analysis was done to compare all included variables between mothers included and excluded in the current analysis (Supplemental Table 1, further detail in Statistical Analysis section). IPV exposure: The Intimate Partner Violence Questionnaire (IPVQ) is a 12-item inventory adapted from the WHO multicountry study (Jewkes, 2002) and the Women’s Health Study in Zimbabwe (Shamu et al., 2011) and assessed recent (past-year) exposure to emotional (4 of 12 questionnaire items), physical (5 of 12 items), and sexual abuse (3 of 12 items). Mothers were asked about exposure to partner behavior and frequency of occurrence (“never”, “once”, “a few times” or “many times”). Mothers completed the IPVQ at the 28–32 week antenatal visit and at 10 weeks, 6, 12, 18 and 24 months postpartum. Partner behavior indicating emotional IPV included having been insulted or made to feel bad, having been humiliated in front of others, intentionally scared or intimidated or threatened with physical harm. Physical IPV included being slapped, pushed, shoved, hit with an object, beaten or choked. Sexual IPV exposure was classified based on having been forced to have sex, afraid not to have sex or forced to do something sexual which was degrading or humiliating. Using questionnaire responses mothers were grouped into four categories of exposure: no IPV where all past year behaviours were “never” experienced; isolated or low IPV was designated where any past year behaviours were experienced as “once” and none more frequently than once; moderate where past year behavior was experienced “a few times”; and high where “many times” was indicated. This was done at each of the six time points to investigate changing exposure patterns during the 2 year period of follow up. Scoring guidelines were devised for the purposes of this study, and were based on prior work in South Africa (Dunkle, Jewkes, Brown, Gray et al., 2004; Dunkle, Jewkes, Brown, Yoshihama et al., 2004). Maternal Maltreatment in Childhood: The Childhood Trauma Questionnaire (CTQ) (Bernstein et al., 1994) is a 28- item inventory assessing three domains of childhood abuse (sexual, physical, and emotional), and two domains of childhood neglect (physical and emotional), occurring at or before the age of 12 years. Each item is scored on a frequency scale from 1 (“never true”) to 5 (“very often true”), such that each subscale (domain of abuse or neglect) is scored on a spectrum from 5 (no history of abuse or neglect) to 25 (very extreme history of abuse or neglect). Dichotomous variables were included in the present analysis, as previously described, such that above threshold for each domain was defined as: physical neglect (score of ≥8); physical abuse (score of ≥8); emotional neglect (score of ≥10); emotional abuse (score of ≥9); and sexual abuse (score of ≥6) (Bernstein et al., 1994). Mothers completed the CTQ antenatally at 28–32 weeks’ gestation. Sociodemographic variables were collected from an adapted questionnaire used in the South African Stress and Health (SASH) study (Myer, Stein, Grimsrud, Seedat, & Williams, 2008). Maternal age, income [ R1,000/month], education (any secondary versus completed secondary), employment and partnership status (single or married/marriage-like relationship) were self-reported antenatally at 28–32 weeks’ gestation. The DCHS was approved by the Faculty of Health Sciences, Human Research Ethics Committee, University of Cape Town (401/2009) and by the Western Cape Provincial Health Research committee. Mothers provided informed consent in their preferred language: English, Afrikaans or isiXhosa and were given R100 (approximately 8USD) for travel reimbursement to reach study sites. Study staff were trained on the content of questionnaires and ethical conduct of violence research, including confidentiality and safety issues. Interviews were conducted privately, data were de-identified and only accessible by study staff to ensure confidentiality. Staff were trained to recognise signs of mental health issues (depression, PTSD symptoms and suicide risk) as well as circumstances endangering mothers or children, including Department of Health mandatory reporting requirements for endangerment. Where identified, staff were trained to refer participants to appropriate care or social services in the Paarl area specialising in the issue identified (including support services for IPV, substance abuse and mental health issues). Further, all women involved in the study, independent of identified mental or physical health issues, receive information regarding social and support service providers in the area.

Based on the information provided, it is not clear what specific innovations are being used or recommended to improve access to maternal health. The study focuses on intimate partner violence (IPV) and maternal maltreatment in childhood as predictors of IPV exposure during pregnancy and postnatally. The study does not mention any specific innovations or interventions being used or recommended to improve access to maternal health.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health would be to implement early intervention programs that address maternal maltreatment in childhood and intimate partner violence (IPV). These programs should focus on identifying and supporting pregnant women who have experienced childhood abuse and are at risk of IPV during and after pregnancy.

The recommendation is based on the findings of the study, which showed high levels of maternal maltreatment during childhood and IPV during pregnancy. The study also found that maternal childhood abuse was associated with increased probability of experiencing high or moderate intensity IPV during and around pregnancy.

By implementing early intervention programs, healthcare providers can identify and support pregnant women who have experienced childhood abuse and are at risk of IPV. These programs can provide counseling, support services, and resources to help women break the cycle of abuse and improve their overall well-being. Additionally, healthcare providers can collaborate with social service providers in the community to ensure that women have access to the necessary support and resources.

Overall, early intervention programs that address maternal maltreatment in childhood and IPV can help improve access to maternal health by providing targeted support to vulnerable women and breaking the cycle of abuse.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Mobile health clinics: Implementing mobile health clinics that travel to remote or underserved areas can provide essential maternal health services, including prenatal care, vaccinations, and health education. This can help overcome geographical barriers and reach women who may have limited access to healthcare facilities.

2. Telemedicine: Utilizing telemedicine technology can enable pregnant women to receive virtual consultations and follow-ups with healthcare providers. This can be particularly beneficial for women in rural areas who may have limited access to healthcare facilities or transportation.

3. Community health workers: Training and deploying community health workers who are knowledgeable about maternal health can help bridge the gap between healthcare facilities and communities. These workers can provide education, support, and referrals for pregnant women, ensuring they receive appropriate care and timely interventions.

4. Health education programs: Implementing comprehensive health education programs that focus on maternal health can empower women with knowledge about prenatal care, nutrition, breastfeeding, and postpartum care. These programs can be conducted in community settings, schools, or through digital platforms.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population or communities that would benefit from the proposed innovations. Consider factors such as geographical location, socioeconomic status, and existing healthcare infrastructure.

2. Collect baseline data: Gather data on the current state of maternal health access in the target population. This can include information on healthcare utilization, maternal health outcomes, and barriers to accessing care.

3. Develop a simulation model: Create a simulation model that incorporates the proposed innovations and their potential impact on improving access to maternal health. This model should consider factors such as the number of mobile health clinics, the reach of telemedicine services, the number of community health workers, and the coverage of health education programs.

4. Input data and parameters: Input relevant data and parameters into the simulation model, such as population size, healthcare facility capacity, travel distances, and the effectiveness of the proposed innovations. This data can be obtained from existing studies, surveys, or expert opinions.

5. Run simulations: Run multiple simulations using the model to simulate different scenarios and assess the potential impact of the recommendations on improving access to maternal health. This can include measuring changes in healthcare utilization, reduction in barriers, and improvements in maternal health outcomes.

6. Analyze results: Analyze the results of the simulations to determine the potential benefits and limitations of the proposed innovations. Consider factors such as cost-effectiveness, scalability, and sustainability.

7. Refine and iterate: Based on the simulation results, refine the recommendations and simulation model as needed. Iterate the process to further optimize the proposed innovations and their impact on improving access to maternal health.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of innovations on improving access to maternal health and make informed decisions on implementation strategies.

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email