Lactose is a unique component of breast milk, many infant formulas and dairy products, and is widely used in pharmaceutical products. In spite of that, its role in human nutrition or lactose intolerance is generally not well-understood. For that reason, a 2-day-long lactose consensus meeting with health care professionals was organized in Mexico to come to a set of statements for which consensus could be gathered. Topics ranging from lactase expression to potential health benefits of lactose were introduced by experts, and that was followed by a discussion on concept statements. Interestingly, lactose does not seem to induce a neurological reward response when consumed. Although lactose digestion is optimal, it supplies galactose for liver glycogen synthesis. In infants, it cannot be ignored that lactose-derived galactose is needed for the synthesis of glycosylated macromolecules. At least beyond infancy, the low glycemic index of lactose might be metabolically beneficial. When lactase expression decreases, lactose maldigestion may lead to lactose intolerance symptoms. In infancy, the temporary replacing of lactose by other carbohydrates is only justified in case of severe intolerance symptoms. In those who show an (epi)genetic decrease or absence of lactase expression, a certain amount (for adults mostly up to 12 g per portion) of lactose can still be consumed. In these cases, lactose shows beneficial intestinal-microbiota-shaping effects. Avoiding lactose-containing products may imply a lower intake of other important nutrients, such as calcium and vitamin B₁₂ from dairy products, as well as an increased intake of less beneficial carbohydrates.

Purpose: Appetitive traits in adults and their associations with weight can be measured using the Adult Eating Behaviour Questionnaire (AEBQ). The aim of this study was to confirm the factor structure of the Spanish AEBQ (AEBQ-Esp) in a Mexican sample and explore associations between the eight traits with body mass index (BMI). Method: A sample of 1023 adults, mean age of 36.8 ± 12.8 years, was recruited from Guadalajara, Mexico. Researchers weighed and measured participants, and they completed the AEBQ-Esp either online or in paper format and reported sociodemographic data. To test two alternative factor structures (eight factors including Hunger; seven factors excluding Hunger), confirmatory factor analysis (CFA) was used. Internal reliability was assessed using Cronbach’s alpha; test–retest reliability was assessed using intra-class correlation coefficients. Multivariate linear regressions were used to test for associations between the AEBQ subscales and BMI, adjusted for age, sex, format of AEBQ responses, education, marital and employment status. Results: A seven-factor structure was the best model fit using CFA, excluding the Hunger subscale but similar to the original AEBQ. Internal reliability was good for all subscales (Cronbach’s α = 0.70–0.86), and the intra-class correlation coefficient (0.70–0.91) reflected good test–retest reliability. In the fully adjusted models, Satiety Responsiveness [β = − 0.61; (− 1.01, − 0.21)] and Slowness in Eating [β = − 0.70; (− 1.01, − 0.39)] were negatively associated with BMI, and Emotional Over-Eating [β = 0.94; (0.62, 1.27)] was positively associated with BMI. Conclusions: The AEBQ-Esp (excluding Hunger) appears to be a valid and reliable psychometric questionnaire for measuring appetitive traits in a Mexican Spanish-speaking population. Some traits appear to be associated with BMI in adulthood and warrant further exploration. Level of evidence: Level III evidence obtained from well-designed cohort or case–control analytic studies. Although this was just an observational study, it was well designed and provided new evidence.

Iron deficiency (ID) is prevalent among infants world-wide and may be more likely among infants born to women living in disadvantaged environments. A strategy to address ID in this context is to feed iron-fortified formula, but this may create risk for gastrointestinal (GI) infection. Our objective was to investigate the relationship between infant feeding practices, iron status, and likelihood of a GI infection in the first 6 mo of life. We conducted a prospective study at a public hospital in Guadalajara, Mexico. Healthy women who gave birth to a healthy term infant were eligible to participate. Each month, mothers (n = 154) provided information on infant feeding methods and symptoms of GI infection. At 6 mo of age, infants' iron status was assessed [hemoglobin (Hb) and serum ferritin concentration]. When compared with nonpredominantly breast-fed [partially breast-feeding (PBF) and formula feeding (FF) combined], predominantly breast-fed (PRBF) infants to 6 mo had a lower incidence of GI infection from 0–6 mo [18 vs. 33%; P = 0.04; adjusted odds ratio (OR) = 0.4; 95% CI = 0.2, 1.0] but a higher risk for ID (serum ferritin < 12 μg/L) at 6 mo (22 vs. 4%; P = 0.001; adjusted OR = 9.2; 95% CI = 2.3, 37.0). Anemia (Hb < 110 g/L) prevalence did not differ among feeding groups (13% for PRBF, 19% for PBF, and 4% for FF; P = 0.09). In this low-income population, our results suggest that PRBF should be promoted and the risk for ID managed using public health and nutrition strategies.

Background: There is a possibility that excess body fat affects bone mass gain and may compromise skeletal health in obese children. The purpose of the study was to identify the relationship between bone mineral density (BMD) and body composition in normal weight, overweight and obese children. Methods: This was a cross-sectional study of 6- to 11-year-old children who attended the hospital's outpatient clinic. They were apparently healthy and had no history of prematurity, low birth weight, or chronic diseases. Body mass index (BMI) was used to identify subjects as normal weight, overweight or obese. BMD and body composition were assessed by dual energy X–ray absorptiometry. The BMD values (total and lumbar spine) were compared between normal weight, overweight and obese children. Correlation coefficients were calculated, and multivariate models were performed. Results: Forty-nine children were included: 16 with normal weight, 15 that were overweight and 18 with obesity; the mean age was 8.4 ± 1.7 years. All the participants had a normal BMD (> – 2 SD). BMD was higher in obese children and had a positive correlation with total and trunk lean mass in the three study groups (p < 0.001). In obese children, an inverse correlation of lumbar spine BMD (Z score) with total and trunk fat mass (p < 0.05) was identified. In the multivariate models (with the whole group), the total lean mass was the only significant variable that explained BMD variability. Conclusions: BMD in obese children was higher than that in normal weight children, which is explained by their greater lean mass and not by excess body fat. In obese children, a higher fat mass was related to a lower lumbar spine BMD. Lean mass had a direct correlation with BMD in the three study groups and was the most important predictor of BMD, reflecting the importance of strengthening the muscular system through performing physical activity and practicing a healthy lifestyle.

Leptin might be more important as a starvation hormone than as a satiety signal. The role of the soluble leptin receptor (sOB-R) and its regulation in children with protein energy malnutrition (PEM) is poorly understood. We elucidated the effect of intensive nutritional support on the leptin axis in 26 severely malnourished toddlers who received infant milk-based formula for 2 wk via continuous enteral tube feeding followed by 2 wk ad libitum feeding. Serum levels of leptin, sOB-R, IGF-I, and IGF-binding protein-3 as well as anthropometric measurements were determined at the beginning of the study and at 2-wk intervals. The control group consisted of 13 well-nourished children. The following were changes in the PEM toddlers after the nutritional support. Leptin increased significantly (P < 0.001), reaching 166% of levels observed in control group. sOB-R decreased significantly (P < 0.001), and a 142-fold molar excess of sOB-R over leptin was found. There were significant correlations between leptin and IGF-I after 2 wk and IGF-binding protein-3 during the whole study. sOB-R was not correlated with any anthropometric data, whereas IGF-I was a predictor of sOB-R variance in the PEM toddlers (19.9%, P = 0.022). It can be concluded that sOB-R has a modulatory effect on leptin in PEM children during nutritional recovery and participates in their adaptive survival mechanisms. Leptin and the molar excess of sOB-R over leptin are better biomarkers of nutritional status than IGF-I in PEM children during nutritional recovery.