Glycaemic index (GI) is used as an indicator to guide consumers in making healthier food choices. We compared the GI, insulin index (II), and the area under the curve for blood glucose and insulin as glucose (GR) and insulin responses (IR) of a newly developed liquid nutritional formula with one commercially available liquid product with different types of carbohydrates. We then evaluated the glucose and insulin responses of two test foods with comparable energy density and protein percentage but presented in different food forms (liquid vs. solid). Fourteen healthy women participated in the study. GI, II, GR, and IR were assessed after (independent) consumption of two liquid products and a solid breakfast meal. The two liquid foods showed comparable GI, whilst the liquid form appeared to produce lower median GI (25 vs. 54), and II (52 vs. 98) values compared to the solid breakfast (p < 0.02). The median GR and IR for solid breakfast were respectively 44% and 45% higher compared to the liquid product (p < 0.02). Liquid formulas with different carbohydrate qualities produced comparable glucose responses, while foods with comparable energy density and protein percentage but different food form elicited differential effects on GI, II, GR, and IR. Nutrient quality and food form need to be taken into consideration when developing low GI products to manage glycaemic responses.

Maternal hyperglycemia alters an offspring’s metabolic health outcomes, as demonstrated by the increased risk for obesity, impaired glucose handling and diabetes from early childhood onwards. Infant growth patterns are associated with childhood adiposity and metabolic health outcomes and, as such, can be used as potential markers to detect suboptimal metabolic development at an early age. Hence, we aimed to assess whether gestational diabetes mellitus (GDM) has an impact on offspring growth trajectories. Outcomes included weight gain (WG), body mass index (BMI), and skin fold thickness (SFT) measured at least at two time points from birth to later childhood. In addition, we explored the role of early life pre- and post-natal nutritional modifiable factors on longitudinal growth in infants of mother with GDM (GDM–F1). Despite the large heterogeneity of the studies, we can still conclude that GDM seems to be associated with altered growth outcomes in the offspring. More specifically, these alterations in growth outcomes seem to be rather time-specific. Increased SFT were reported particularly at birth, with limited information on reporting SFT between 2–5 y, and increased adiposity, measured via SFT and BMI, appeared mainly in later childhood (5–10 y). Studies evaluating longitudinal growth outcomes suggested a potential role of early life nutritional modifiable factors including maternal nutrition and breastfeeding. These may impact the cycle of adverse metabolic health by attenuating growth outcome alterations among GDM–F1. Conclusions: Timely diagnoses of growth deviations in infancy are crucial for early identification of GDM–F1 who are at risk for childhood overweight and metabolic disease development.

Deviations from normal postnatal growth patterns in infancy and early childhood are indicators to predict future negative health outcomes and to direct ear

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.