The effect of maternal depressive symptoms on infant feeding practices in rural Ethiopia: community based birth cohort study

listen audio

Study Justification:
This study aimed to investigate the longitudinal relationship between maternal depressive symptoms and infant feeding practices (IFPs) in rural Ethiopia. The study is important because maternal depression and other psychosocial factors have been shown to have adverse consequences on IFPs. Understanding these relationships can inform interventions and policies to improve infant feeding practices and ultimately the health and well-being of infants.
Highlights:
– The study used existing data from the ENGINE birth cohort study, which was a large-scale nutrition intervention program funded by USAID.
– Data was collected from 4680 pregnant women in three districts in rural Ethiopia.
– A composite measure of IFP index was computed using 14 WHO recommended infant and young child feeding practice indicators.
– The study found that higher postnatal depressive symptoms and intimate partner violence were associated with lower scores on the IFP index, while better maternal social support and active social participation were associated with higher scores.
– Contrary to expectations, moderate and severe household food insecurity, as well as infant morbidity episodes, were associated with higher scores on the IFP index.
– The study highlights the need for coordinated, multi-sectoral interventions to improve infant feeding practices, including screening and management of maternal depressive symptoms.
Recommendations:
– Implement maternal depressive symptoms screening and management programs as part of routine antenatal and postnatal care.
– Strengthen social support systems for mothers, including community-based interventions and programs.
– Address intimate partner violence through targeted interventions and support services.
– Improve household food security through interventions that address food access and availability.
– Enhance awareness and education on optimal infant feeding practices among healthcare providers, mothers, and communities.
Key Role Players:
– Ministry of Health: Responsible for implementing and coordinating maternal and child health programs, including screening and management of maternal depressive symptoms.
– Community Health Workers: Provide support and education to mothers on infant feeding practices and mental health.
– Non-Governmental Organizations: Implement interventions to address intimate partner violence, improve social support, and enhance household food security.
– Research Institutions: Conduct further research on the relationship between maternal depressive symptoms and infant feeding practices, as well as evaluate the effectiveness of interventions.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers and community health workers on maternal depressive symptoms screening and management.
– Development and dissemination of educational materials on optimal infant feeding practices.
– Implementation of community-based interventions to improve social support and address intimate partner violence.
– Programs and initiatives to improve household food security, such as agricultural support and income generation activities.
– Monitoring and evaluation of interventions to assess their impact and effectiveness.
Please note that the cost items provided are general categories and not actual cost estimates. The actual costs will depend on the specific context and implementation strategies.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a community-based birth cohort study with a large sample size, which strengthens its validity. The study collected data at multiple time points, allowing for longitudinal analysis. The use of standardized questionnaires and validated scales enhances the reliability of the findings. However, the abstract does not provide information on the representativeness of the study population or the generalizability of the results beyond rural Ethiopia. To improve the strength of the evidence, future research could include a more diverse sample and consider factors such as socioeconomic status and cultural influences on infant feeding practices.

Background: Maternal depression and other psychosocial factors have been shown to have adverse consequences on infant feeding practices. This study explored the longitudinal relationship of maternal depressive symptoms and other selected psychosocial factors with infant feeding practices (IFPs) in rural Ethiopia using summary IFP index. Methods: This study uses existing data from the ENGINE birth cohort study, conducted from March 2014 to March 2016 in three districts in the southwest of Ethiopia. A total of 4680 pregnant women were recruited and data were collected once during pregnancy (twice for those in the first trimester), at birth, and then every 3 months until the child was 12 months old. A standardized questionnaire was used to collect data on IFPs, maternal depressive symptoms, household food insecurity, intimate partner violence (IPV), maternal social support, active social participation, and other sociodemographic variables. A composite measure of IFP index was computed using 14 WHO recommended infant and young child feeding (IYCF) practice indicators. High IFP index indicated best practice. Prenatal and postnatal maternal depressive symptoms were assessed using the patient health questionnaire (PHQ-9). Linear multilevel mixed effects model was fitted to assess longitudinal relationship of IFPs with maternal depression and other psychosocial factors. Results: Reports of higher postnatal depressive symptoms (ß = − 1.03, P = 0.001) and IPV (ß = − 0.21, P = 0.001) were associated with lower scores on the IFP index. Whereas, reports of better maternal social support (ß = 0.11, P = 0.002) and active social participation (ß = 0.55, P  10 times). Responses were coded as 0 = never (i.e., no experience), 1 = rarely, 2 = sometimes, or 3 = often. Household food insecurity was categorized into four severity levels: food secure, mildly food insecure, moderately food insecure, and severely food insecure as per the algorithm described by Coates et al. [58]. A screening tool called HITS (Hurt, Insult, Threaten and Scream) was applied to assess intimate partner violence [59]. This data was collected from mothers within 3 days of birth. The scale has four items and each item was scored on a scale of 1 (never) to 5 (frequently) with total score of 20 possible. Then, sum score was computed and treated as a continuous variable in the model. Maternal Social support was measured using the Maternity Social Support Scale (MSSS) developed by Webster and colleagues [60] within 3 days of birth. The scale contains six items. Each item has measured on a five-point Likert scale of 1 (never) to 5 (frequently) and a total score of 30 was possible. Similarly, the score was treated as continuous variable in this study where a high score corresponds with a high level of perceived social support. Educational status of the mother was categorized into four as illiterate, primary, junior and secondary and above for analysis purpose. Marital status was dichotomized into married (married monogamous and married polygamous) and unmarried (single, widowed, divorced, and separated). Religion was categorized into three as Muslim, Protestant, and Catholic & Orthodox. Similarly, mothers’ age was categorized as < 25 years, 25–35 years and above 35 years. Gestational age at birth was dichotomized as term (37 weeks and above) and preterm (< 37 weeks). Birthweight dichotomized as normal (2500 g and above) and low birthweight (< 2500 g); however, birthweight was treated as a continuous data in the model. A wealth index was created following the methods described by the Demographic and Health Surveys for Ethiopia [21] using polychoric principal component analysis to represent a composite measure of a household’s cumulative living conditions and then separated into quintiles. We examined whether missing data on feeding practices and maternal depressive symptoms differed from those who were not missing these data. We compared these two groups on infants’ birth weight, household food security, and other key baseline sociodemographic variables. For the continuous variables, we used a t test for equality of means, and, for the categorical variables, we used Pearson’s chi-square tests. Participants’ characteristics, IFPs and maternal depressive symptoms were summarized using descriptive statistics. To assess longitudinal relationship of infant feeding practice (IFP) and maternal depressive symptoms, we assumed that the repeated measurements of IFPs taken from each infant, overtime, are correlated and it is expected that study participants changed feeding practices over time as infants gets older. To examine differences in IFP within individual subjects over the follow up period, a linear multilevel mixed effects (fixed effects and random effects) model with a random intercept and a random slope was fitted with maximum likelihood estimation method. The fixed effects describe a population intercept and population slopes for a set of covariates, which include exposures and potential confounders. Random effects describe individual variability in IFP and changes over time. By considering individual random slopes and intercepts, this model allows to examine the influence of covariates on the change in IFP over time. Subjects with IFP data from at least two assessment intervals were included in the analysis.

Based on the information provided, here are some potential innovations that could improve access to maternal health:

1. Telemedicine: Implementing telemedicine programs that allow pregnant women in rural areas to access prenatal care and consultations with healthcare providers remotely, reducing the need for travel and increasing access to healthcare services.

2. Mobile health (mHealth) applications: Developing mobile applications that provide educational resources, reminders for prenatal appointments and medication adherence, and access to teleconsultations with healthcare providers.

3. Community health workers: Training and deploying community health workers in rural areas to provide basic prenatal care, education, and support to pregnant women, bridging the gap between communities and healthcare facilities.

4. Integrated nutrition programs: Implementing integrated nutrition programs that address both maternal health and nutrition, providing pregnant women with access to nutritious food, supplements, and counseling on healthy eating during pregnancy.

5. Mental health screening and support: Integrating mental health screening and support services into maternal health programs to identify and address maternal depressive symptoms, promoting overall well-being and improving infant feeding practices.

6. Multi-sectoral collaborations: Establishing partnerships between healthcare providers, government agencies, non-governmental organizations, and community-based organizations to develop comprehensive and coordinated interventions that address the multiple factors influencing infant feeding practices and maternal health.

7. Capacity building: Investing in training and capacity building for healthcare providers in rural areas to improve their knowledge and skills in maternal health, including the identification and management of maternal depressive symptoms and the promotion of optimal infant feeding practices.

8. Health information systems: Implementing robust health information systems that capture and analyze data on maternal health indicators, allowing for evidence-based decision-making and monitoring of program performance and impact.

9. Financial incentives: Introducing financial incentives, such as conditional cash transfers or vouchers, to encourage pregnant women in rural areas to seek and utilize maternal health services, including prenatal care and counseling on infant feeding practices.

10. Infrastructure development: Investing in the development and improvement of healthcare infrastructure in rural areas, including the establishment of well-equipped maternal health clinics and the provision of reliable transportation services for pregnant women to access healthcare facilities.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health is to implement coordinated, multi-sectoral, and multi-stakeholder interventions. These interventions should include the screening and management of maternal depressive symptoms.

The study found that higher postnatal depressive symptoms and intimate partner violence were associated with lower scores on the infant feeding practices (IFP) index, indicating poorer practices. On the other hand, better maternal social support and active social participation were associated with higher scores on the IFP index, indicating better practices.

In addition, the study also found that moderate and severe household food insecurity, as well as infant morbidity episodes, were unexpectedly associated with higher scores on the IFP index. This suggests that addressing household food insecurity and infant morbidity should also be considered in interventions to improve infant feeding practices.

Therefore, to improve access to maternal health, it is recommended to:

1. Implement screening and management programs for maternal depressive symptoms.
2. Promote and enhance maternal social support and active social participation.
3. Address household food insecurity through targeted interventions.
4. Provide appropriate healthcare and support for infant morbidity episodes.

By implementing these recommendations, it is expected that access to maternal health will be improved, leading to better infant feeding practices and overall maternal and child well-being.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and education: Implement community-based programs to raise awareness about maternal health, including the importance of proper infant feeding practices. This can be done through health campaigns, workshops, and educational materials targeting pregnant women and their families.

2. Strengthen healthcare infrastructure: Improve access to healthcare facilities in rural areas by building or upgrading health centers and hospitals. This includes ensuring the availability of skilled healthcare providers, essential medical equipment, and necessary medications for maternal and child health.

3. Enhance maternal mental health support: Develop and implement screening programs for maternal depressive symptoms during pregnancy and postpartum. Provide counseling and support services for women experiencing depression, including referrals to mental health professionals when needed.

4. Promote social support networks: Establish support groups and community networks for pregnant women and new mothers. These networks can provide emotional support, share experiences, and offer practical assistance in infant feeding practices and other aspects of maternal health.

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

1. Define indicators: Identify specific indicators to measure the impact of the recommendations, such as the percentage of pregnant women receiving antenatal care, the percentage of women screened for maternal depressive symptoms, or the percentage of women practicing recommended infant feeding practices.

2. Collect baseline data: Gather data on the selected indicators before implementing the recommendations. This can be done through surveys, interviews, or existing data sources.

3. Implement interventions: Roll out the recommended interventions, such as awareness campaigns, infrastructure improvements, mental health screening programs, and support networks.

4. Monitor and evaluate: Continuously monitor the implementation of the interventions and collect data on the selected indicators. This can be done through regular surveys, interviews, or monitoring systems.

5. Analyze data: Analyze the collected data to assess the impact of the interventions on the selected indicators. This can involve statistical analysis, comparing pre- and post-intervention data, and assessing trends over time.

6. Draw conclusions and make recommendations: Based on the analysis, draw conclusions about the effectiveness of the interventions in improving access to maternal health. Identify areas of success and areas that may require further attention. Use these findings to make recommendations for future interventions and improvements.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of the recommended interventions and make informed decisions to improve access to maternal health.

Partagez ceci :
Facebook
Twitter
LinkedIn
WhatsApp
Email