Show source-provided references
2. Vesnina, A., Prosekov, A., Kozlova, O., and Atuchin, V. (2020). Genes and Eating Preferences, Their Roles in Personalized Nutrition. Genes, 11.
10.3390/genes11040357 ↗3. Comuzzie, A.G., Cole, S.A., Laston, S.L., Voruganti, V.S., Haack, K., Gibbs, R.A., and Butte, N.F. (2012). Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population. PLoS ONE, 12.
10.1371/journal.pone.0051954 ↗4. Jääskeläinen, A., Schwab, U., Kolehmainen, M., Kaakinen, M., Savolainen, M.J., Froguel, P., Cauchi, S., Järvelin, M.-R., and Laitinen, J. (2013). Meal frequencies modify the effect of common genetic variants on body mass index in adolescents of the northern Finland birth cohort 1986. PLoS ONE, 8.
10.1371/journal.pone.0073802 ↗5. Behavioral Susceptibility Theory: Professor Jane Wardle and the role of appetite in the genetic risk of obesity
10.1007/s13679-017-0247-x ↗7. Influence of genetic variants associated with body mass index on eating behavior in childhood
10.1002/oby.21778 ↗8. Genetics of food intake self-regulation in childhood: Literature review and research opportunities
10.1159/000353879 ↗9. Satiety and the Self-Regulation of Food Take in Children: A Potential Role for Gene-Environment Interplay
10.1007/s13679-016-0194-y ↗13. WMA—World Medical Association (2023, June 12). Helsinki Declaration—Ethical Principles for Medical Research Involving Human Subjects. 64ª Asamblea General, Fortaleza, Brasil. Available online: https://www.wma.net/policies-post/wma-declaration-ofhelsinki-ethical-principles-for-medical-research-involving-human-subjects/.
15. Reliability and Validation of the Child Eating Behavior Questionnaire in 3- to 6-Year-Old Spanish Children
10.3389/fpsyg.2022.705912 ↗16. Zhu, J., Loos, R.J.F., Lu, L., Zong, G., Gan, W., Ye, X., Sun, L., Li, H., and Lin, X. (2014). Associations of genetic risk score with obesity and related traits and the modifying effect of physical activity in a Chinese Han population. PLoS ONE, 9.
10.1371/journal.pone.0091442 ↗17. A genome-wide association study of body mass index across early life and childhood
10.1093/ije/dyv077 ↗18. Aspectos genéticos de la obesidad
19. BioTools, B.M., and Labs, S.A. (2023, June 12). Speedtools Tissue DNA Extraction Kit. Kit Para la Extracción y Purificación de ADN Genómico a Partir de Tejidos, Células, Bacterias, Hongos y Fluidos Orgánicos. Instrucciones de Uso. (Ref. 21.136/7). 7ª Ed. Available online: http://www.biotools.eu/documentospdf/Speedtools_Tissue_DNA_Extraction_Kit.esp.ed07.Mayo15.pdf.
20. Oeth, P., Beaulieu, M., Park, C., Kosman, D., del Mistro, G., van deen Boom, D., and Jurinke, C. (2023, June 14). Sequenom Application Note. iPLEX® Assay: Increased Pleaxing Efficiency and Flexibility for MassARRAY® System through Single Base Primer Extensión with Mass-Modified Terminators. Available online: http://www.usc.es/cegen/wp-content/uploads/2016/03/Sequenom-iplex-assay.pdf.
23. Precisión diagnóstica del índice cintura-talla para la identificación del sobrepeso y de la obesidad infantil
25. Brozek, J., and Henschel, A. (1961). Techniques for Measuring Body Composition, National Academy of Sciences.
26. The assessment of the amount of fat in the human body from measurements of skinfold thickness
10.1079/BJN19670070 ↗27. Diagnosis de la obesidad: Actualización de criterios y su validez clínica y poblacional
10.1157/13090892 ↗32. Interrelationships of child appetite, weight and snacking among Hispanic preschoolers
10.1111/ijpo.12186 ↗33. Cuestionario de comportamiento alimentario infantil correlacionado con composiciones corporales de niños y adolescentes tailandeses con obesidad: Un estudio piloto
34. Emotional eating is learned not inherited in children, regardless of obesity risk
10.1111/ijpo.12428 ↗36. Understanding Food Fussiness and Its Implications for Food Choice, Health, Weight and Interventions in Young Children: The Impact of Professor Jane Wardle
10.1007/s13679-017-0248-9 ↗37. Measuring short-term eating behaviour and desire to eat: Validation of the child eating behaviour questionnaire and a computerized ‘desire to eat’ computerized questionnaire
10.1016/j.appet.2021.105661 ↗39. Efecto de las técnicas y estrategias de modificación de la velocidad al comer sobre la ingesta de alimentos o energía: Revisión sistemática y metaanálisis
40. Phan, L., Jin, Y., Zhang, H., Qiang, W., Shekhtman, E., Shao, D., Revoe, D., Villamarin, R., Ivanchenko, E., and Kimura, M. (2023, March 23). ALFA: Allele Frequency Aggregator. National Center for Biotechnology Information, U.S. National Library of Medicine, 10 March 2020, Available online: https://www.ncbi.nlm.nih.gov/snp/docs/gsr/alfa/.