HIV infection, hunger, breastfeeding self-efficacy, and depressive symptoms are associated with exclusive breastfeeding to six months among women in western Kenya: A longitudinal observational study

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Study Justification:
– Exclusive breastfeeding for the first six months of life is recommended for all infants.
– Breastfeeding rates remain suboptimal globally, including in the Nyanza region of western Kenya.
– Challenges to breastfeeding in this region include food insecurity, hunger, depressive symptoms, and HIV infection.
– There is a lack of evidence on how these factors interact and influence women’s breastfeeding behaviors over time.
Study Highlights:
– The majority of women (52.3%) in the study exclusively breastfed for the first six months.
– Living with HIV was associated with a 64% decrease in the rate of early exclusive breastfeeding cessation.
– Probable depression and hunger increased the rate of early exclusive breastfeeding cessation by 100% and 98% respectively.
– Breastfeeding self-efficacy interacted with hunger, with higher self-efficacy scores predicting a decrease in early exclusive breastfeeding cessation.
– The study suggests that rates of exclusive breastfeeding could be increased through targeted support for maternal mental health and breastfeeding self-efficacy, while reducing maternal hunger.
Study Recommendations:
– Provide targeted support for women living with HIV to promote exclusive breastfeeding.
– Implement interventions to improve maternal mental health and reduce depressive symptoms.
– Enhance breastfeeding self-efficacy through counseling and support programs.
– Address food insecurity and hunger among breastfeeding women through social and economic interventions.
Key Role Players:
– Healthcare providers: to provide counseling and support for breastfeeding women, including those living with HIV.
– Mental health professionals: to provide interventions and support for women experiencing depressive symptoms.
– Community organizations: to implement social and economic interventions addressing food insecurity and hunger.
– Policy makers: to develop and implement policies supporting exclusive breastfeeding and addressing the identified challenges.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers and mental health professionals.
– Development and implementation of counseling and support programs.
– Social and economic interventions to address food insecurity and hunger.
– Monitoring and evaluation of interventions.
– Research and data collection to assess the impact of interventions and inform future policies and programs.

Background: Exclusive breastfeeding for the first six months of life is recommended for all infants. However, breastfeeding rates remain suboptimal; around 37% of infants are exclusively breastfed for the first six months globally. In Nyanza region, western Kenya, numerous challenges to breastfeeding have been identified, including food insecurity, hunger, depressive symptoms, and HIV infection. Yet, evidence to inform our understanding of how these problems influence women’s breastfeeding behaviors across time is lacking. We therefore sought to examine these factors and how they interact to affect the initiation and duration of exclusive breastfeeding in this region. We hypothesized that women experiencing greater food insecurity, hunger, and/or depressive symptoms would be less likely to maintain exclusive breastfeeding for six months than women who were food secure or not depressed. We also hypothesized that women living with HIV would be more likely to maintain exclusive breastfeeding to six months compared to HIV-uninfected women. Methods: Women in Pith Moromo, a longitudinal cohort study in western Kenya, were surveyed at two antenatal and three postpartum timepoints (n = 275). Data were collected on breastfeeding behavior and self-efficacy, maternal food insecurity and hunger, maternal psychosocial health, and HIV status. Cox proportional hazards models were used to identify predictors of early exclusive breastfeeding cessation. Results: The majority of women (52.3%) exclusively breastfed for the first six months. In the final multivariable Cox proportional hazards model, living with HIV was associated with a 64% decrease in the rate of early exclusive breastfeeding cessation. Additionally, the rate of early exclusive breastfeeding cessation increased by 100 and 98% for those experiencing probable depression or hunger, respectively. Although there was no main effect of breastfeeding self-efficacy, the interaction between breastfeeding self-efficacy and hunger was significant, such that the rate of early exclusive breastfeeding cessation was predicted to decrease by 2% for every point increase in breastfeeding self-efficacy score (range: 0-56). Conclusions: This study contributes to previous work demonstrating that women living with HIV more consistently exclusively breastfeed and suggests that rates of exclusive breastfeeding could be increased through targeted support that promotes maternal mental health and breastfeeding self-efficacy, while reducing maternal hunger. Trial registration: Study registration NCT02974972.

Data were drawn from Pith Moromo, a longitudinal observational cohort study designed to explore the consequences of food insecurity and HIV during the first 1000 days ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT02974972″,”term_id”:”NCT02974972″}}NCT02974972). Pregnant women (n = 371) were recruited from seven rural, peri-urban, and urban FACES antenatal clinics in Nyanza region, Kenya (near Lake Victoria) between September 2014 and June 2015. Women were eligible for inclusion if they were within their first seven months of pregnancy (assessed using last menstrual period on antenatal cards) and intended to live in the catchment area until their infant(s) reached at least nine months of age. All women living with HIV were prescribed antiretroviral therapy per national guidelines. Quota sampling was used in order to achieve equal numbers of pregnant HIV-unifected women and pregnant women living with HIV (confirmed using colloidal gold rapid tests) by food insecurity categories, assessed using the nine-item Individual Food Insecurity Access Scale (low 0–9, moderate 10–18, and severe 19–27) [45]. Women with HIV were oversampled to detect differences in primary study outcomes (e.g. maternal BMI) by HIV status at a power of 0.8. Luo is both the predominant language spoken and the ethnic group with which the majority of individuals identify. Survey data were collected by Kenyan clinic-based study nurses using paper forms and tablet-based electronic surveys. Interviews were conducted at five time points: twice during the index pregnancy (16–30 weeks and 24–40 weeks) and three times after delivery (1.5, 3, and 9 months postpartum). Sociodemographic characteristics, including age, religion, and ethnic group, were collected at baseline. A principal component analysis was performed on reported household assets and used to represent household wealth. Maternal and infant weight and height/length were collected at all visits. Women were queried about knowledge and intention to breastfeed at the second antenatal visit. Of note, women received standard-care counseling on breastfeeding during their antenatal appointments, with no additional counseling from participation in the study. Women were considered knowledgeable about breastfeeding if they responded that infants should be exclusively breastfed for six months and did not indicate that any other foods or fluids, aside from medicines, could be given. Women were also asked if they intended to exclusively breastfeed for the first six months after birth. At the first postnatal visit, mothers reported on breastfeeding self-efficacy (range: 0–56) [46], defined as the confidence one has in their perceived ability to breastfeed [47], and breastfeeding social support (range: 0–18), defined as the interactions that convey caring, trust, and love to the breastfeeding mother, or task and knowledge sharing that directly assist that person [48]. Participants also reported on infant feeding practices at all postnatal visits, including whether other foods or fluids were provided to the infant, and when. Duration of exclusive breastfeeding was operationalized as the number of days between birth (date extracted from child clinic cards) and the introduction of foods or fluids other than human milk, based on maternal recall. Exclusive breastfeeding was defined using the WHO standard as having provided only breast milk and no other foods or fluids (except medicine). Following reported methodologies, we used both a six-month and 5.5-month cut-off for determining whether infants were exclusively breastfed or not [49–51]. Maternal dietary diversity was assessed at each time point using a 24-h food frequency questionnaire [52]. Maternal food insecurity was measured using the Individual Food Insecurity Access Scale (range: 0–27) [45], which asks about experiences of food insecurity in the past four weeks. Maternal hunger is a measure of severe food insecurity derived from responses to the three most extreme experiences queried in the Individual Food Insecurity Access Scale (range: 0–6) [53]. Individuals were then classified as having low (0–1), moderate (2–3), or high (4–6) hunger. Finally, maternal perceived stress and depression were measured at 1.5 and 9 months postpartum. Depression was assessed using the Center for Epidemiologic Studies-Depression Scale (CES-D, range: 0–60) [54]. We used the cut-off of a score of 17 or higher for probable depression [55, 56]. Maternal stress levels were measured using the Perceived Stress Scale (PSS) (range: 0–40) [57]. Statistical analyses were conducted using Stata 14.0 software with an α of 0.05. Sociodemographic characteristics were compared between women who exclusively breastfed to six months and women who did not using chi-square and t-tests. Cox proportional hazards models were used to identify predictors of early exclusive breastfeeding cessation. In multivariable models, this is a preferred technique because it can account for the length of exclusive breastfeeding for each mother-infant dyad. Time-variant predictors (e.g. food insecurity, depression) measured at the first postnatal visit were used to approximate experiences at delivery. Significant predictors (p < 0.2) of exclusive breastfeeding duration in bivariate analyses were included in multivariable Cox proportional hazards models; variables were then eliminated using a backwards stepwise approach (p < 0.1).

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

1. Targeted support programs: Develop targeted support programs that focus on promoting maternal mental health and breastfeeding self-efficacy. These programs could provide counseling, education, and resources to help women overcome challenges related to depression and lack of confidence in breastfeeding.

2. Integrated healthcare services: Implement integrated healthcare services that address multiple factors influencing breastfeeding behaviors. This could involve bringing together healthcare providers, nutritionists, mental health professionals, and social workers to provide comprehensive care and support for women during pregnancy and postpartum.

3. Community-based interventions: Establish community-based interventions that aim to address food insecurity and hunger among pregnant and breastfeeding women. These interventions could include initiatives such as community gardens, food banks, and nutrition education programs to ensure that women have access to nutritious food throughout their pregnancy and breastfeeding journey.

4. Peer support networks: Create peer support networks for pregnant and breastfeeding women, where they can connect with and learn from other women who have successfully breastfed for the recommended duration. Peer support can provide encouragement, practical tips, and emotional support, which can help women overcome challenges and sustain exclusive breastfeeding.

5. Mobile health (mHealth) solutions: Utilize mHealth solutions, such as mobile applications or text messaging services, to provide timely and personalized information and support to pregnant and breastfeeding women. These platforms can deliver educational content, reminders for healthcare appointments, and tips for overcoming breastfeeding challenges.

It is important to note that these recommendations are based on the specific challenges identified in the study conducted in western Kenya. The implementation of these innovations should be tailored to the local context and take into account the cultural, social, and economic factors that may influence maternal health and breastfeeding practices in different regions.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health and increase exclusive breastfeeding rates is to provide targeted support that promotes maternal mental health and breastfeeding self-efficacy, while reducing maternal hunger. This recommendation is based on the findings of the study, which showed that women living with HIV were more likely to maintain exclusive breastfeeding for six months compared to HIV-uninfected women. Additionally, the study found that the rate of early exclusive breastfeeding cessation increased for women experiencing probable depression or hunger. The study also highlighted the significant interaction between breastfeeding self-efficacy and hunger, suggesting that increasing breastfeeding self-efficacy could help decrease the rate of early exclusive breastfeeding cessation. Therefore, by addressing these factors through targeted support programs, access to maternal health can be improved and exclusive breastfeeding rates can be increased.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations for improving access to maternal health:

1. Targeted support for women living with HIV: The study found that women living with HIV were more likely to maintain exclusive breastfeeding for six months. Therefore, providing targeted support and resources specifically tailored to the needs of women living with HIV can help improve access to maternal health.

2. Promotion of maternal mental health: The study also found that probable depression was associated with an increased rate of early exclusive breastfeeding cessation. Therefore, implementing interventions that promote maternal mental health, such as counseling services and support groups, can help improve access to maternal health.

3. Enhancing breastfeeding self-efficacy: The interaction between breastfeeding self-efficacy and hunger was found to be significant in the study. Increasing breastfeeding self-efficacy can be achieved through educational programs, peer support, and practical training on breastfeeding techniques, which can help women overcome challenges and improve access to maternal health.

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

1. Identify the target population: Determine the specific group of women who would benefit from the recommendations, such as women living with HIV, women experiencing depression, or women with low breastfeeding self-efficacy.

2. Collect baseline data: Gather information on the current access to maternal health services, breastfeeding rates, and relevant factors such as HIV status, mental health status, and breastfeeding self-efficacy among the target population.

3. Implement the recommendations: Introduce the targeted support for women living with HIV, promotion of maternal mental health, and enhancement of breastfeeding self-efficacy. This could involve providing counseling services, support groups, educational programs, and practical training.

4. Monitor and evaluate: Continuously collect data on the impact of the recommendations. Measure indicators such as exclusive breastfeeding rates, maternal mental health outcomes, and breastfeeding self-efficacy scores among the target population.

5. Analyze the data: Use statistical analysis techniques, such as Cox proportional hazards models or other appropriate methods, to assess the impact of the recommendations on improving access to maternal health. Compare the data collected after implementing the recommendations with the baseline data to determine the effectiveness of the interventions.

6. Adjust and refine: Based on the findings, make any necessary adjustments or refinements to the recommendations. This could involve modifying the support programs, improving access to resources, or addressing any identified barriers or challenges.

7. Scale up and replicate: If the recommendations prove to be effective, consider scaling up the interventions to reach a larger population and replicate the approach in other settings to further improve access to maternal health.

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