Can following formula-feeding recommendations still result in infants who are overweight or have obesity?

Tailored recommendations for infant milk formula intake results in more accurate feeding

Currently available guidelines on the daily formula milk requirements of infants are based on the needs of infants with their growth pattern following the 50th percentile of the weight-for-age growth curve. Hence, current recommendations may not thoroughly detail the needs of infants across the broad spectrum of body weight percentiles. This study aimed to provide stratified recommendations for daily formula milk intake of fully formula-fed infants, across different weight-for-age categories from 0 to 4 months. At first, theoretical age- and gender-specific weight ranges were constructed for infants across five pre-defined weight-for-length percentile categories of the WHO growth standard. Thereafter, total daily energy requirements for each category were calculated and converted to daily formula milk needs. Subsequently, these stratified age- and weight-formula milk recommendations were compared to actual daily and relative formula milk of infants in these categories, retrieved from pooled individual infant formula milk intake data derived from 13 clinical intervention trials. A fitted regression model was used to evaluate differences in volume intakes across body weight categories as well as between theoretically derived and actual intake values. Median daily formula milk volume intake (ml/day) of infants differed significantly across the increasing weight-for-age categories at each time point, with significant differences between small and large infants. Interestingly, the relative daily formula milk volume intake (ml/kg/day) was higher for smaller infants compared to larger infants. The mean daily and relative formula milk intakes demonstrated the same pattern based on theoretical calculations as well as for the actual formula milk intake values retrieved from 13 pooled clinical intervention trials.

CONCLUSIONS

Based on theoretical calculations and actual formula intake data, we conclude that larger infants require a significantly higher daily formula milk intake than smaller infants, and we postulate that infants could benefit from more tailored formula milk intake recommendations.

WHAT IS KNOWN

• Adequate energy intake during the infancy period is crucial to support optimal growth and organ development, with the potential for long-lasting health effects. • Current available guidelines on the daily formula milk requirements of infants are based on the needs of infants with their growth pattern following the 50th percentile of the weight-for-age growth curve.

WHAT IS NEW

• Based on using both theoretical calculations and actual formula intake data, larger infants require a significantly higher daily formula milk intake than smaller infants. • Exclusive formula-fed infants could benefit from more tailored formula milk intake recommendations, in early infancy.

Why do mothers mix milk feed their infants? Results from a systematic review

CONTEXT

Combining or supplementing breastfeeding with formula feeding, also called mixed milk feeding (MMF), is a common infant feeding practice. However, there is no well-established MMF evidence-base for informing and guiding parents. A better understanding of the reasons why mothers practice MMF may facilitate identification of efficient strategies for supporting exclusive breastfeeding, and/or opportunities to prolong breastfeeding, at least partially.

OBJECTIVE

An updated systematic literature review was undertaken with the primary aim of gaining a deeper understanding of the reasons why mothers choose MMF.

DATA SOURCES

Six databases were searched for relevant articles published in English from January 2012 to January 2022.

DATA EXTRACTION

Two reviewers independently performed the screenings and data extraction, and any differences were resolved by a third reviewer. Data from 138 articles were included, 90 of which contained data on MMF reasons/drivers, and 60 contained data on infant age and/or maternal demographic factors associated with MMF.

DATA ANALYSIS

A total of 13 different unique MMF drivers/reasons were identified and categorized according to whether the drivers/reasons related to perceived choice, necessity, or pressure. Risk of bias was evaluated using the Quality Assessment Tool of Diverse Studies and the JBI Systematic Reviews tool. Several different terms were used to describe and classify MMF across the studies. The most commonly reported reasons for MMF were related to a perception of necessity (39% of drivers, eg, concerns about infant's hunger/perceived breast milk insufficiency or breastfeeding difficulties), followed by drivers associated with perceived choice (34%; eg, having more flexibility) and perceived pressure (25%; eg, returning to work or healthcare professionals' advice). This was particularly true for infants aged 3 months or younger.

CONCLUSION

The key global drivers for MMF and their distribution across infant age and regions were identified and described, providing opportunities for the provision of optimal breastfeeding support. A unified definition of MMF is needed in order to enable more comparable and standardized research.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42022304253.

Research gaps and opportunities in precision nutrition: an NIH workshop report

Precision nutrition is an emerging concept that aims to develop nutrition recommendations tailored to different people's circumstances and biological characteristics. Responses to dietary change and the resulting health outcomes from consuming different diets may vary significantly between people based on interactions between their genetic backgrounds, physiology, microbiome, underlying health status, behaviors, social influences, and environmental exposures. On 11-12 January 2021, the National Institutes of Health convened a workshop entitled "Precision Nutrition: Research Gaps and Opportunities" to bring together experts to discuss the issues involved in better understanding and addressing precision nutrition. The workshop proceeded in 3 parts: part I covered many aspects of genetics and physiology that mediate the links between nutrient intake and health conditions such as cardiovascular disease, Alzheimer disease, and cancer; part II reviewed potential contributors to interindividual variability in dietary exposures and responses such as baseline nutritional status, circadian rhythm/sleep, environmental exposures, sensory properties of food, stress, inflammation, and the social determinants of health; part III presented the need for systems approaches, with new methods and technologies that can facilitate the study and implementation of precision nutrition, and workforce development needed to create a new generation of researchers. The workshop concluded that much research will be needed before more precise nutrition recommendations can be achieved. This includes better understanding and accounting for variables such as age, sex, ethnicity, medical history, genetics, and social and environmental factors. The advent of new methods and technologies and the availability of considerably more data bring tremendous opportunity. However, the field must proceed with appropriate levels of caution and make sure the factors listed above are all considered, and systems approaches and methods are incorporated. It will be important to develop and train an expanded workforce with the goal of reducing health disparities and improving precision nutritional advice for all Americans.

The impact of reducing the frequency of night feeding on infant BMI

BACKGROUND

Teaching caregivers to respond to normal infant night awakenings in ways other than feeding is a common obesity prevention effort. Models can simulate caregiver feeding behavior while controlling for variables that are difficult to manipulate or measure in real life.

METHODS

We developed a virtual infant model representing an infant with an embedded metabolism and his/her daily sleep, awakenings, and feeds from their caregiver each day as the infant aged from 6 to 12 months (recommended age to introduce solids). We then simulated different night feeding interventions and their impact on infant body mass index (BMI).

RESULTS

Reducing the likelihood of feeding during normal night wakings from 79% to 50% to 10% lowered infant BMI from the 84th to the 75th to the 62nd percentile by 12 months, respectively, among caregivers who did not adaptively feed (e.g., adjust portion sizes of solid foods with infant growth). Among caregivers who adaptively feed, all scenarios resulted in relatively stable BMI percentiles, and progressively reducing feeding probability by 10% each month showed the least fluctuations.

CONCLUSIONS

Reducing night feeding has the potential to impact infant BMI, (e.g., 10% lower probability can reduce BMI by 20 percentile points) especially among caregivers who do not adaptively feed.

IMPACT

Teaching caregivers to respond to infant night waking with other soothing behaviors besides feeding has the potential to reduce infant BMI. When reducing the likelihood of feeding during night wakings from 79% to 50% to 10%, infants dropped from the 84th BMI percentile to the 75th to the 62nd by 12 months, respectively, among caregivers who do not adaptively feed. Night-feeding interventions have a greater impact when caregivers do not adaptively feed their infant based on their growth compared to caregivers who do adaptively feed. Night-feeding interventions should be one of the several tools in a multi-component intervention for childhood obesity prevention.

Role of Dietary Factors, Food Habits, and Lifestyle in Childhood Obesity Development: A Position Paper From the European Society for Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition

Childhood obesity has high societal and economic impact but current treatment approaches are sub-optimal. In the last decade, important studies have been conducted aiming to identify strategies to prevent obesity during critical periods of life. Updated recommendations for childhood obesity prevention are needed. We present data from systematic reviews and meta- analysis, randomised controlled trials (RCTs) and large observational studies, published from 2011 onwards that consider the possible role of the following factors in obesity development: breast-feeding; macronutrient composition and method of complementary feeding; parenting style; dietary patterns; sugar-sweetened beverage consumption; eating behaviour (eg, skipping breakfast, family dinners. etc); meal frequency and composition (fast foods, snacking), portion size; dietary modulators of gut microbiota (including pre-, pro-, and synbiotics); physical activity and sedentary behaviour. We used the Medline database and the Cochrane Library to search for relevant publications. Important research gaps were also identified. This position paper provides recommendations on dietary factors, food habits, and lifestyle to prevent childhood obesity development, based on the available literature and expert opinion. Clinical research and high-quality trials are urgently needed to resolve numerous areas of uncertainty.