Background & aims: Calcium and dairy products have multiple health benefits. The objective of this work was to evaluate the association between calcium/dairy intake, blood pressure, the BDNF-AS rs925946 polymorphism and nutritional status in a group of schoolchildren.

Methods: As part of the GENYAL study to childhood obesity prevention, 221 children belonging to different areas of the Community of Madrid were enrolled. Anthropometric and dietary data were collected, and children were genotyped according to the rs925946 polymorphism. Adjusted logistic and linear models were used to describe the data.

Results: A significantly lower consumption of calcium in overweight versus normal weight children was observed (811.0 ± 174.1; 859.0 ± 195.9; 954.0 ± 223.1 mg; for obesity, overweight and normal weight, respectively, p = 0.010). Moreover, an inverse association between blood pressures and calcium intake was detected (β = -0.006 (-0.011, -3e^-4)), p = 0.040. The number of dairy servings/day showed a protective effect against overweight (OR = 0.48 (0.29, 0.75), p = 0.001). Finally, common homozygous children (GG) showed an inverse association between the calcium intake and the BMI (β = -0.003 (-0.006, -0.001), p = 0.004), which was not observed in children carrying the T allele (β = -1.3e^-4 (-0.0022, 0.0024), p = 0.93).

Conclusion: Calcium and dairy were strongly associated with the nutritional status and blood pressure. The identification of differential effects of calcium/dairy consumption on the nutritional status according to genetics may contribute to the personalization of future nutritional advice.

Trial registration: This study is registered at www.clinicaltrials.govNCT03419520.

Exercise performance is influenced by genetics. However, there is a lack of knowledge about the role played by genetic variability in the frequency of physical exercise practice. The objective was to identify genetic variants that modulate the commitment of people to perform physical exercise and to detect those subjects with a lower frequency practice. A total of 451 subjects were genotyped for 64 genetic variants related to inflammation, circadian rhythms, vascular function as well as energy, lipid and carbohydrate metabolism. Physical exercise frequency question and a Minnesota Leisure Time Physical Activity Questionnaire (MLTPAQ) were used to qualitatively and quantitatively measure the average amount of physical exercise. Dietary intake and energy expenditure due to physical activity were also studied. Differences between genotypes were analyzed using linear and logistic models adjusted for Bonferroni. A significant association between GCKR rs780094 and the times the individuals performed physical exercise was observed (p = 0.004). The carriers of the minor allele showed a greater frequency of physical exercise in comparison to the major homozygous genotype carriers (OR: 1.86, 95% CI: 1.36-2.56). The analysis of the GCKR rs780094 variant suggests a possible association with the subjects that present lower frequency of physical exercise. Nevertheless, future studies are needed to confirm these findings.

(1) Background: Childhood rapid weight gain during development has been postulated as a predictor of obesity. The objective of this study was to investigate the effect of single nucleotide polymorphisms (SNPs) on the annual weight gain and height growth, as well as identifying possible lifestyle factors involved. (2) Methods: As part of the GENYAL study, 221 children (6-8 years old) of Madrid (Spain) were enrolled. A total of 11 SNPs associated with high childhood body mass indexes (BMIs) were assessed. Anthropometric measurements, dietary and physical activity data, were collected in 2017 and 2018. Bonferroni-corrected linear models were used to fit the data. (3) Results: A significant association between the Q223R LEPR and the weight growth was found, showing a different behavior between GA and GG genotypes (p = 0.001). Regarding lifestyle factors, an interaction between Q223R genotypes and total active weekly hours/week to predict the weight growth (kg/year) was observed (p = 0.023). In all the genotypes, a beneficial effect against rapid weight growth was observed, but the effect size of the interaction was much more significant in homozygous (GG) minor homozygous (β = -0.61 (-0.95, -0.26) versus heterozygous (AG) and wild-type homozygous (AA) genotypes (β = -0.07 (-0.24, 0.09) and β = -0.12 (-0.32, 0.08), respectively). (4) Conclusions: These results may contribute to more personalized recommendations to prevent childhood obesity.

Objectives: The aim of this study was to assess the effect of a weight loss treatment on obesity- associated variables with respect to the CLOCK and FTO genotypes.

Methods: In all, 179 volunteers (78% female) participated in a 12-week calorie-restriction program; hypocaloric diets of between 5442 and 10048 kJ/d were individually prescribed to all participants. Dietetic, anthropometric, and biochemical data were collected at baseline and at the end of the intervention. When treatment was over, five single nucleotide polymorphisms (SNPs) were sought in CLOCK and FTO in all participants who provided consent. Bonferroni-corrected linear regression models were used to examine the influence of interactions of the type genotype × dietetic change on obesity-associated variables.

Results: Variation in the CLOCK and FTO genotypes had no significant influence on the change in obesity-associated variables. The interaction genotype × percentage intake of dietary fat had a significant influence on body mass index (BMI; adjusted P = 0.03). Participants carrying CLOCK rs3749474 (TT + CT) showed a positive association between the change in percentage intake of dietary fat and change in BMI (β = 0.044; 95% confidence interval [CI], 0.0119-0.0769; P = 0.008), whereas participants homozygous for the wild-type allele (CC) showed a negative, although nonsignificant association (β = -0.032; 95% CI, -0.0694 to 0.036; P = 0.077).

Conclusion: The possession of CLOCK rs3749474 may influence the effect of reducing the percentage intake of dietary fat on obesity-associated variables. Participants carrying this SNP might benefit more than others from weight loss treatment involving dietary fat restriction. The treatment of obesity might therefore be customized, depending on the alleles carried.