Characteristics associated with the transition to partial breastfeeding prior to 6 months of age: Data from seven sites in a birth cohort study

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Study Justification:
This study aimed to investigate the factors associated with the early transition to partial breastfeeding before 6 months of age. The World Health Organization (WHO) recommends exclusive breastfeeding for the first 6 months, but many infants start consuming animal milks and/or solids earlier than this. Understanding the factors influencing this transition is crucial for improving infant feeding practices and promoting optimal nutrition.
Highlights:
– The study included data from seven sites in a birth cohort study, with a total of 1470 infants.
– The median age of transition to partial breastfeeding ranged from 59 days to 178 days across the sites.
– Factors associated with later transitions to partial breastfeeding included higher weight-for-length z-scores, food insecurity, and absence of infant cough in the past 30 days.
– Maternal depressive symptoms were associated with an earlier transition to partial breastfeeding.
– Relative thinness or heaviness within each site, rather than absolute z-scores, influenced breastfeeding transitions.
– Further research is needed to understand the relationship between local perceptions of infant body size and decisions about breastfeeding.
Recommendations:
– Promote awareness and education about the WHO recommendation of exclusive breastfeeding for the first 6 months of life.
– Address food insecurity issues to ensure families have access to adequate nutrition for both mothers and infants.
– Provide support and interventions for mothers experiencing depressive symptoms to promote optimal breastfeeding practices.
– Conduct further research to explore the cultural and societal factors influencing decisions about breastfeeding and infant body size perceptions.
Key Role Players:
– Researchers and scientists specializing in infant nutrition and breastfeeding practices.
– Healthcare professionals, including doctors, nurses, and lactation consultants, who can provide guidance and support to mothers.
– Community health workers who can disseminate information and provide education on breastfeeding practices.
– Policy makers and government officials responsible for implementing and supporting programs related to maternal and child health.
Cost Items for Planning Recommendations:
– Development and implementation of educational materials and campaigns to promote exclusive breastfeeding.
– Training programs for healthcare professionals and community health workers on breastfeeding support.
– Provision of resources and support services for mothers experiencing food insecurity.
– Implementation of mental health programs to address maternal depressive symptoms.
– Funding for further research and studies on breastfeeding practices and cultural influences.
Please note that the cost items provided are general suggestions and may vary depending on the specific context and resources available.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a birth cohort study conducted across seven sites, which provides a relatively large sample size. The study explores various factors associated with the timing of an early transition to partial breastfeeding. However, the evidence could be strengthened by providing more details on the methodology, such as the specific data collection methods and statistical analyses used. Additionally, the abstract does not mention any limitations of the study, which could be addressed to improve the overall quality of the evidence.

The WHO recommends exclusive breastfeeding for the first 6 months of life. However, the transition of the infants’ diet to partial breastfeeding with the addition of animal milks and/or solids typically occurs earlier than this. Here, we explored factors associated with the timing of an early transition to partial breastfeeding across seven sites of a birth cohort study in which twice weekly information on infant feeding practices was collected. Infant (size, sex, illness and temperament), maternal (age, education, parity and depressive symptoms), breastfeeding initiation practices (time of initiation, colostrum and pre-lacteal feeding) and household factors (food security, crowding, assets, income and resources) were considered. Three consecutive caregiver reports of feeding animal milks and/or solids (over a 10-day period) were characterized as a transition to partial breastfeeding, and Cox proportional hazard models with time (in days) to partial breastfeeding were used to evaluate associations with both fixed and time-varying characteristics. Overall, 1470 infants were included in this analysis. Median age of transition to partial breastfeeding ranged from 59 days (South Africa and Tanzania) to 178 days (Bangladesh). Overall, higher weight-for-length z-scores were associated with later transitions to partial breastfeeding, as were food insecurity, and infant cough in the past 30 days. Maternal depressive symptoms (evaluated amongst 1227 infants from six sites) were associated with an earlier transition to partial breastfeeding. Relative thinness or heaviness within each site was related to breastfeeding transitions, as opposed to absolute z-scores. Further research is needed to understand relationships between local perceptions of infant body size and decisions about breastfeeding.

The MAL‐ED network included eight sites (Bangladesh [Dhaka: BGD], India [Vellore: INV], Nepal [Bhaktapur: NEB], Pakistan [Naushero Feroze: PKN], Brazil [Fortaleza: BRF], Peru [Loreto: PEL], South Africa [Venda: SAV] and Tanzania [Haydom: TZH]). Each site was to recruit and follow a cohort of 200 children to 24 months, and thus, enrolment varied by site based on projected loss to follow up (The MAL‐ED Network Investigators, 2014). Enrolment was staggered over a 2‐year period (during the overall period from 2009 to 2012) to account for seasonality in morbidity and pathogens. Infants were eligible for inclusion in the study if their birth weight or enrolment weight was ≥1500 g, they did not have a chronic illness at recruitment, they were a singleton birth, the family did not plan to move outside the community within 6 months, and their mother was at least 16 years of age. Caregivers provided written consent, and institutional ethical approval was obtained at each site. Further details are available elsewhere (The MAL‐ED Network Investigators, 2014). Here, we examine data from birth to 6 months of age. At enrolment (within the first 17 days of life, median 7 days, inter‐quartile range 4 to 12 days), an interview was conducted to record child and family factors including the sex of the child, maternal age, parity, education and marital status. At that time, mothers reported specific details regarding the timing of breastfeeding initiation after delivery, whether colostrum was given, and pre‐lacteal feeding (Patil et al., 2015). Thereafter, families were visited twice per week and asked about infant feeding practices in the preceding 24 h; specifically, caregivers were asked about the infant’s consumption of breast milk, animal milk, formula, water, tea, fruit juice and other liquids or semi‐solids (Caulfield et al., 2014). Our primary outcome was the consistent reporting of partial breastfeeding, meaning that animal milks (including formula) and/or solids were added to the infant’s diet alongside breast milk for three consecutive reports from the twice weekly breastfeeding data. We chose this definition based on prior work which described the episodic nature of exclusive breastfeeding across the study sites (Ambikapathi et al., 2016; Lee et al., 2014). During these same twice weekly visits, incidence of illness was recorded for all days since the prior visit. Illnesses included diarrhoea (≥3 loose stools/24 h), vomiting, coughing, acute lower‐respiratory infection (ALRI) and fever (Richard, Barrett, et al., 2014). Infant weight and length were measured at enrolment and then monthly on the same birth day throughout the study (Richard, McCormick, et al., 2014). Age‐ and sex‐standardized z‐scores were derived from length and weight utilizing the WHO standards and methods (WHO, 2006). Personnel were trained on a common protocol prior to study enrolment and quality control measures were put in place (Richard, McCormick, et al., 2014); during the study, irreconcilable issues were found with the length data from PKN; therefore, the site was excluded from these analyses. Food insecurity was assessed through the Household Food Insecurity Access Scale (HFIAS) at enrolment (Psaki et al., 2012; Swindale & Bilinsky, 2006), and households were considered to have food insecurity if they answered yes to any of the questions. At 6 months, households were surveyed about socioeconomic status including information on average household income, assets, crowding, and access to improved water and sanitation (as defined by the WHO) (Psaki et al., 2014). Maternal depressive symptoms were captured using the Self‐Reporting Questionnaire at 1‐ and 6‐months postpartum (Beusenberg et al., 1994). The depressive symptoms data at each time point were subjected to psychometric analyses to ensure comparability across sites (Pendergast et al., 2014); because the 6‐month data as opposed to the 1‐month data were related to the outcome, and because the 6‐month data from BRF were not found comparable with the other sites, two analyses were run, with the maternal depressive symptom data (excluding BRF) or without (including BRF). Child temperament was assessed at 6 months via caregiver report using the Infant Temperament Scale (ITS). Psychometric analyses supported the validity of an approach temperament factor across the eight sites (Pendergast et al., 2018). Approach temperament assesses an infant’s tendency to move toward or engage in pleasurable or rewarding stimuli. Our assessment of this dimension of temperament reflected approach towards both social and physical stimuli. We used this as our best measure of infant behaviours, which might affect infant feeding decision‐making. As noted above, we considered the report of feeding animal milks and/or solids on three consecutive visits prior to 6 months to indicate a transition to partial breastfeeding. The first instance of this transition was considered the ‘event’ for the purposes of a Cox proportional hazard model. Cox proportional hazards models were constructed for individual variables and multivariable models. All models included site as a strata to account for differences in baseline hazards between sites. The home visits in which infant feeding and morbidity data were recorded were matched to the closest prior anthropometric measurement. This data structure allowed for time‐varying incidence of illness and the child’s weight‐for‐length z‐score (WLZ) with monthly intervals (the anthropometry collection schedule) for months in which partial feeding was or was not initiated. Those not transitioning before 180 days (276/1470, or 18.8%) were censored. To put variables on a comparable scale, continuous variables, except for WLZ, were scaled to mean zero and standard deviation one across the MAL‐ED sites: average household income (log10 transformed first), the number of people per room, maternal age, maternal years of education, and depressive symptom scores at 6 months postpartum. Odds ratios for these variables therefore reflect the consequence of a one standard deviation change in the variable. The multivariable model was further subjected to backward stepwise selection [minimizing the Akaike Information Criterion (AIC)] to minimize over‐fitting. The models were globally proportional; however, WLZ was not (χ 2 5.06, p = 0.02), largely due to the increase in WLZ observed (in all sites) over the first 2 months. Because field operations could result in shorter or longer than monthly periods between anthropometric measures, sensitivity analyses were conducted to examine the interval (median of 13 days, IQR 6 to 21) between the preceding anthropometry and the change in feeding; the model coefficients presented were found robust to weighting the regression by the interval even considering different weighting schemes.

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

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide information and support to pregnant women and new mothers. These apps can offer guidance on nutrition, breastfeeding, and infant care, as well as reminders for prenatal and postnatal appointments.

2. Telemedicine: Implement telemedicine services to connect pregnant women and new mothers with healthcare providers remotely. This can help overcome geographical barriers and provide access to medical advice and consultations without the need for in-person visits.

3. Community Health Workers: Train and deploy community health workers who can provide education, support, and basic healthcare services to pregnant women and new mothers in underserved areas. These workers can conduct home visits, offer counseling, and facilitate referrals to healthcare facilities when necessary.

4. Maternal Health Vouchers: Introduce voucher programs that provide financial assistance to pregnant women and new mothers, enabling them to access essential maternal healthcare services, including prenatal care, delivery, and postnatal care.

5. Public-Private Partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve leveraging private healthcare providers and facilities to expand service coverage and reduce wait times for pregnant women and new mothers.

6. Health Education Campaigns: Launch targeted health education campaigns to raise awareness about the importance of maternal health and promote healthy behaviors during pregnancy and postpartum. These campaigns can be conducted through various channels, such as mass media, community events, and social media.

7. Maternity Waiting Homes: Establish maternity waiting homes near healthcare facilities in rural areas to accommodate pregnant women who live far away. These homes provide a safe and comfortable place for women to stay during the final weeks of pregnancy, ensuring timely access to skilled birth attendants and emergency obstetric care.

8. Transportation Support: Develop transportation initiatives that address the challenges of reaching healthcare facilities for pregnant women and new mothers in remote areas. This can involve providing subsidized transportation services or organizing community-based transportation networks.

9. Maternal Health Hotlines: Set up hotlines staffed by trained healthcare professionals who can provide information, counseling, and referrals related to maternal health. These hotlines can be accessible 24/7 and serve as a resource for pregnant women and new mothers seeking immediate support.

10. Maternal Health Monitoring Systems: Implement digital health solutions that enable remote monitoring of maternal health indicators, such as blood pressure, weight, and fetal movements. These systems can help identify potential complications early on and facilitate timely interventions.

It’s important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health is to focus on promoting and supporting exclusive breastfeeding for the first 6 months of life. This recommendation is based on the World Health Organization’s (WHO) guidelines.

To develop this recommendation into an innovation, the following steps can be taken:

1. Awareness and Education: Develop comprehensive educational campaigns targeting pregnant women, new mothers, and their families to raise awareness about the benefits of exclusive breastfeeding for the first 6 months. This can include information on the nutritional value of breast milk, the importance of colostrum, and the risks associated with introducing animal milks and solids too early.

2. Training and Support: Provide training and support to healthcare professionals, including doctors, nurses, and midwives, on the promotion and management of breastfeeding. This can include training on proper breastfeeding techniques, addressing common challenges, and providing counseling and support to mothers.

3. Community Engagement: Engage with community leaders, organizations, and influencers to promote breastfeeding as a cultural norm. This can involve organizing community events, support groups, and peer counseling programs to create a supportive environment for breastfeeding mothers.

4. Workplace Support: Advocate for workplace policies that support breastfeeding mothers, such as providing dedicated breastfeeding rooms, flexible work hours, and paid maternity leave. This can help mothers continue breastfeeding after returning to work.

5. Access to Resources: Ensure that mothers have access to necessary resources for successful breastfeeding, such as breast pumps, lactation consultants, and breastfeeding-friendly healthcare facilities. This can involve partnering with organizations and stakeholders to improve access to these resources.

6. Research and Monitoring: Conduct research to further understand the factors influencing the timing of the transition to partial breastfeeding. This can help identify additional strategies and interventions to promote exclusive breastfeeding and improve maternal health outcomes.

By implementing these recommendations and continuously monitoring their effectiveness, access to maternal health can be improved by promoting and supporting exclusive breastfeeding for the first 6 months of life.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Increase awareness and education: Implement comprehensive education programs to raise awareness about the importance of exclusive breastfeeding for the first 6 months of life. This can include educating expectant mothers, their families, and healthcare providers about the benefits of exclusive breastfeeding and the risks associated with early transition to partial breastfeeding.

2. Support breastfeeding initiation: Provide support and resources to ensure that mothers are able to initiate breastfeeding within the first hour after delivery. This can include training healthcare providers on proper breastfeeding techniques, creating breastfeeding-friendly environments in healthcare facilities, and offering lactation support services.

3. Address maternal mental health: Develop interventions to address maternal depressive symptoms, as these have been found to be associated with an earlier transition to partial breastfeeding. This can involve screening for maternal depression during pregnancy and the postpartum period, providing counseling and support services, and integrating mental health care into maternal health programs.

4. Improve food security: Address food insecurity among households by implementing programs that provide access to nutritious food for pregnant and breastfeeding women. This can include initiatives such as food assistance programs, community gardens, and nutrition education.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define indicators: Identify key indicators that reflect access to maternal health, such as the percentage of infants exclusively breastfed for the first 6 months, the average age of transition to partial breastfeeding, and the prevalence of maternal depressive symptoms.

2. Collect baseline data: Gather baseline data on the identified indicators before implementing the recommendations. This can involve conducting surveys, interviews, and data analysis to assess the current situation.

3. Implement interventions: Implement the recommended interventions, such as education programs, breastfeeding support services, mental health interventions, and food security initiatives.

4. Monitor and evaluate: Continuously monitor and evaluate the impact of the interventions on the identified indicators. This can involve collecting data at regular intervals, conducting surveys and interviews, and analyzing the data to assess changes over time.

5. Analyze the data: Use statistical analysis techniques, such as Cox proportional hazard models or other appropriate methods, to analyze the data and determine the impact of the interventions on improving access to maternal health. This can involve comparing the baseline data with the data collected after implementing the interventions to identify any significant changes.

6. Adjust and refine: Based on the findings from the analysis, make adjustments and refinements to the interventions as needed. This can involve scaling up successful interventions, addressing any challenges or barriers identified, and continuously improving the strategies to achieve better outcomes.

By following this methodology, it will be possible to simulate the impact of the recommendations on improving access to maternal health and make evidence-based decisions for further interventions.

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