Greater household food insecurity is associated with lower breast milk intake among infants in western Kenya

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Study Justification:
– The study aimed to assess the relationship between household food insecurity and breastfeeding practices in western Kenya, where HIV is highly prevalent.
– The study aimed to generate evidence-based recommendations for breastfeeding among food-insecure mothers in this setting.
Highlights:
– Breast milk intake significantly increased from 6 to 24 weeks postpartum.
– Household food insecurity was not associated with exclusive breastfeeding in the prior 24 hours or in the prior 2 weeks.
– Breast milk intake was positively associated with exclusive breastfeeding in the prior 2 weeks.
– Higher levels of food insecurity were associated with lower breast milk intake.
Recommendations for Lay Reader and Policy Maker:
– Public health practitioners should screen for and integrate programs that reduce food insecurity to increase breast milk intake.
– Policy makers should prioritize interventions that address household food insecurity to improve breastfeeding practices among food-insecure mothers.
Key Role Players:
– Public health practitioners
– Policy makers
– Healthcare providers
– Community leaders
– Non-governmental organizations (NGOs)
Cost Items for Planning Recommendations:
– Program implementation and monitoring
– Training and capacity building for healthcare providers
– Community outreach and education
– Food assistance programs
– Research and evaluation
– Advocacy and policy development

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a prospective cohort study, which is generally considered to be a strong design for assessing relationships between variables. The study collected data from 119 mother-infant dyads in western Kenya and used the deuterium oxide dose-to-the-mother technique to determine breastfeeding practices and breast milk intake. The study found that household food insecurity was not associated with maternal recall of exclusive breastfeeding, but it was associated with a decrease in breast milk intake. The study provides valuable information for public health practitioners to consider when developing programs to reduce food insecurity and increase breast milk intake. However, there are some limitations to consider. The study relied on maternal recall for some data, which may introduce recall bias. Additionally, the study was conducted in a specific region of Kenya with a high prevalence of HIV, so the findings may not be generalizable to other populations. To improve the strength of the evidence, future studies could consider using a larger sample size, collecting more objective measures of breastfeeding practices, and including a more diverse population.

Household food insecurity has been hypothesized to negatively impact breastfeeding practices and breast milk intake, but this relationship has not been rigorously assessed. To generate an evidence base for breastfeeding recommendations among food-insecure mothers in settings where HIV is highly prevalent, we explored infant feeding practices among 119 mother–infant dyads in western Kenya at 6 and 24 weeks postpartum. We used the deuterium oxide dose-to-the-mother technique to determine if breastfeeding was exclusive in the prior 2 weeks, and to quantify breast milk intake. Sociodemographic data were collected at baseline and household food insecurity was measured at each time point using the Household Food Insecurity Access Scale. Average breast milk intake significantly increased from 721.3 g/day at 6 weeks postpartum to 961.1 g/day at 24 weeks postpartum. Household food insecurity at 6 or 24 weeks postpartum was not associated with maternal recall of exclusive breastfeeding (EBF) in the prior 24 hr or deuterium oxide-measured EBF in the prior 2 weeks at a significance level of 0.2 in bivariate models. In a fixed-effects model of quantity of breast milk intake across time, deuterium oxide-measured EBF in the prior 2 weeks was associated with greater breast milk intake (126.1 ± 40.5 g/day) and every one-point increase in food insecurity score was associated with a 5.6 (±2.2)-g/day decrease in breast milk intake. Given the nutritional and physical health risks of suboptimal feeding, public health practitioners should screen for and integrate programs that reduce food insecurity in order to increase breast milk intake.

Data were drawn from a prospective cohort study that was designed to compare differences in breast milk intake between HIV‐uninfected infants whose mothers were either HIV‐infected or ‐uninfected at enrolment (PACTR201807163544658). Recruitment criteria and the study design have been described elsewhere (Oiye, Mwanda, Mugambi, Filteau, & Owino, 2017). Briefly, mothers (n = 143) attending the Maternal and Child Health Clinic of Siaya County Referral Hospital in western Kenya for infant vaccinations at 6‐weeks postpartum were recruited into the study between February and September 2014. Women were eligible for inclusion if they planned to live in Siaya District for the following 10 months and their infants were both 6 weeks of age (±8 days) and HIV‐uninfected at enrolment. Women were excluded if their infants had low birthweight (<2,500 g), were born preterm, and/or were unable to breastfeed. Women were systematically sampled to detect differences in breast milk intake by maternal HIV status at a power of 0.8 (i.e., women living with HIV were oversampled), allowing for an expected 33% loss to follow‐up. This was an appropriate setting to examine the impacts of food insecurity and HIV on breast milk intake because 34.0% of households in the region were food insecure (Siaya County Integrated Development Plan 2013–2017, 2014). Additionally, at the time of study enrolment, the prevalence of HIV among women of reproductive age in Siaya County was nearly four times the national average (Kenya Ministry of Health, 2014). Survey data were collected at 6 and 24 weeks postpartum by local clinic‐based study nurses using a structured paper questionnaire. Sociodemographic data (e.g., age, highest level of education), delivery information, and infant feeding practices were based on maternal recall. Following WHO guidelines, EBF was defined as an infant solely receiving breast milk, except for medically prescribed oral rehydration salts, drops, and/or syrups (vitamins, minerals, medicines) (World Health Organization, 2008). Date of birth and infant birthweight were obtained from both mother and child clinic cards when available, otherwise they were obtained by maternal recall. Anthropometric measurements were taken following standard protocols, as described elsewhere (Oiye et al., 2017). Household food insecurity was measured using the Household Food Insecurity Access Scale (range: 0–27; Coates, Swindale, & Bilinsky, 2007), which prompts about experiences of food insecurity in the past 4 weeks. A subset of these items was used to measure household hunger (range: 0–6; Ballard, Coates, Swindale, & Deitchler, 2011). Households were then classified as having low (0–1), moderate (2–3), or high (4–6) hunger. Maternal HIV status was assessed at 6 and 24 weeks postpartum using colloidal gold antibody tests (KHB Shanghai Kehua Bioengineering Co. Ltd). At 6 weeks of age, each infant's serostatus was assessed with HIV‐1 DNA polymerase chain reaction (PCR) using a T100 Thermal Cycler (Bio‐Rad Laboratories Inc, UK). Infant HIV status was not assessed at 24 weeks because Kenyan government guidelines require HIV‐exposed infants to be tested at 9 months of age (Kenya Ministry of Health, 2012). On the basis of antibody and PCR‐confirmatory tests at 9 months, two infants seroconverted and were therefore excluded from analysis. Breast milk intake was measured at 6 and 24 weeks postpartum using the DTM technique, as described by the International Atomic Energy Agency (IAEA) (International Atomic Energy Agency, 2010). This method for measuring breast milk intake has been shown to be effective in similar East African settings (Ettyang, van Marken Lichtenbelt, Esamai, Saris, & Westerterp, 2005; Getahun et al., 2017). After being weighed, baseline (pre‐dose) saliva samples were collected from the mother and the infant (day 0) using a syringe and sterile cotton wool. Mothers then consumed a 30‐g oral dose of deuterium oxide (D2O) through a straw and were instructed to feed their infant as usual. At least 2 ml of saliva samples were subsequently collected from both the mother and infant in 10‐ml polypropylene sterile tubes on days 1, 2, 3, 4, 13, and 14. Post‐dose saliva was collected at the same time of day as at baseline collection. All samples were separately secured in ziplocked polythene bags and immediately frozen in −20°C freezers. Samples were then transported in iceboxes to the Kenya Medical Research Institute (KEMRI) Nutrition Laboratory in Nairobi for analysis. Deuterium enrichment in mother and infant saliva over a 14‐day period was measured using a Fourier Transform Infrared Spectrophotometer (FTIR 8400 Series; Shimadzu Corporation, Kyoto, Japan). Deuterium enrichment was in turn used to calculate maternal total body water, from which breast milk output was derived using computer modelling (International Atomic Energy Agency, 2010). Infant intake of water from sources other than breast milk was calculated using a spreadsheet developed by the IAEA (International Atomic Energy Agency, 2010). Infants were considered EBF using the DTM technique if they consumed <25 g of water from sources other than human milk per day, as recommended by the IAEA (International Atomic Energy Agency, 2010). No mothers reported giving oral rehydration salts to their infants at either time point, such that this was an appropriate cut‐off. Survey and biomarker data were entered into Epi Info Version 6 and cleaned using both Microsoft Excel and Stata 14.0 (StataCorp, College Station, TX, USA). Descriptive statistics (chi‐square, t tests) were performed using Stata 14.0 with a significance level of .05. Significant covariates (p < .2) of EBF or human milk intake in bivariate analyses were included in multivariable linear regressions for each time point; variables were eliminated using a backwards stepwise approach (p < .1). Model specification was evaluated using the link test. To examine the impact of food insecurity on breast milk intake over time, a fixed effects model was built using a similar stepwise technique. Given our restricted sample size, a bootstrap draw of 5,000 was used to check the asymptotic normality assumption, make accurate inferences about the broader population, and develop robust confidence intervals (Carpenter & Bithell, 2000). All models of breast milk intake were adjusted for deuterium‐oxide measured EBF. The Kenyatta National Hospital/University of Nairobi Ethics and Research Committee (KNH/UON/ERC) approved this study. The approval reference number is KNH‐ERC/A/90 (P517/09/2012). All participants provided written informed consent.

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

1. Integrated programs: Integrate programs that address household food insecurity and maternal health. This could involve providing nutritional support and education to food-insecure mothers to improve breastfeeding practices and breast milk intake.

2. Screening for food insecurity: Implement screening protocols to identify households experiencing food insecurity. This can help healthcare providers identify at-risk mothers and provide appropriate support and resources.

3. Food assistance programs: Develop and implement food assistance programs specifically targeted towards pregnant and lactating women. These programs can provide nutritious food options to improve maternal and infant health outcomes.

4. Community-based interventions: Implement community-based interventions that address both food insecurity and maternal health. This can involve engaging community members, local organizations, and healthcare providers to develop and implement strategies to improve access to nutritious food and promote breastfeeding practices.

5. Policy changes: Advocate for policy changes that prioritize maternal health and address food insecurity. This can involve working with policymakers to develop and implement policies that support food security and improve access to healthcare services for pregnant and lactating women.

6. Education and awareness campaigns: Develop educational materials and awareness campaigns to educate mothers and their families about the importance of breastfeeding and proper nutrition during pregnancy and lactation. This can help increase knowledge and promote positive behaviors related to maternal health.

7. Collaboration and partnerships: Foster collaboration and partnerships between healthcare providers, community organizations, and government agencies to address the complex issue of food insecurity and maternal health. This can help leverage resources and expertise to develop comprehensive and sustainable solutions.

It’s important to note that these recommendations are based on the specific context provided in the description. Implementing these innovations would require further research, planning, and collaboration with relevant stakeholders.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health is to integrate programs that reduce household food insecurity. This recommendation is based on the finding that greater household food insecurity is associated with lower breast milk intake among infants in western Kenya.

To address this issue, public health practitioners should screen for household food insecurity and implement interventions to reduce it. These interventions could include providing food assistance, promoting agricultural initiatives, improving income-generating opportunities, and offering nutrition education and counseling to mothers. By addressing food insecurity, breastfeeding practices and breast milk intake can be improved, leading to better maternal and infant health outcomes.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Implement programs to reduce household food insecurity: Given the association between household food insecurity and lower breast milk intake, it is important to address this issue. Implementing programs that focus on improving food security at the household level can help ensure that mothers have access to an adequate and nutritious diet, which can positively impact breastfeeding practices and breast milk intake.

2. Integrate nutrition education and counseling: Alongside efforts to reduce food insecurity, it is crucial to provide mothers with education and counseling on optimal nutrition during pregnancy and lactation. This can include information on the importance of a balanced diet, the benefits of breastfeeding, and strategies to overcome barriers to breastfeeding.

3. Strengthen healthcare infrastructure: Improving access to maternal health requires a strong healthcare infrastructure. This includes ensuring that healthcare facilities are adequately staffed, equipped, and accessible to pregnant women and new mothers. Additionally, training healthcare providers on maternal health issues and breastfeeding support can enhance the quality of care provided.

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

1. Define outcome measures: Identify specific indicators that reflect improved access to maternal health, such as an increase in the percentage of women receiving prenatal care, an increase in the percentage of women exclusively breastfeeding, or an increase in the average breast milk intake among infants.

2. Collect baseline data: Gather data on the current status of access to maternal health in the target population. This can include information on healthcare utilization, breastfeeding practices, and other relevant factors.

3. Implement interventions: Introduce the recommended interventions, such as food security programs, nutrition education, and improvements to healthcare infrastructure. Ensure that these interventions are implemented consistently and monitor their implementation process.

4. Monitor and evaluate: Continuously collect data on the selected outcome measures to assess the impact of the interventions. This can involve conducting surveys, interviews, or using existing data sources. Compare the post-intervention data with the baseline data to determine any changes or improvements.

5. Analyze and interpret results: Analyze the collected data to assess the impact of the interventions on access to maternal health. This can involve statistical analysis, such as comparing pre- and post-intervention data using appropriate statistical tests. Interpret the results to understand the effectiveness of the interventions and identify any areas for improvement.

6. Adjust and refine interventions: Based on the findings from the evaluation, make any necessary adjustments or refinements to the interventions. This can involve modifying the strategies, expanding the reach of the interventions, or addressing any identified barriers or challenges.

7. Repeat the evaluation: Conduct periodic evaluations to assess the long-term impact of the interventions and ensure that access to maternal health continues to improve over time.

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

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