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Статті в журналах з теми "Nutrigenomics and personalised nutrition"
Palou, Andreu. "From nutrigenomics to personalised nutrition." Genes & Nutrition 2, no. 1 (September 19, 2007): 5–7. http://dx.doi.org/10.1007/s12263-007-0022-9.
Повний текст джерелаRonteltap, A., J. C. M. van Trijp, and R. J. Renes. "Consumer acceptance of nutrigenomics-based personalised nutrition." British Journal of Nutrition 101, no. 1 (May 15, 2008): 132–44. http://dx.doi.org/10.1017/s0007114508992552.
Повний текст джерелаde Roos, Baukje. "Personalised nutrition: ready for practice?" Proceedings of the Nutrition Society 72, no. 1 (November 12, 2012): 48–52. http://dx.doi.org/10.1017/s0029665112002844.
Повний текст джерелаHesketh, J. "Personalised nutrition: how far has nutrigenomics progressed?" European Journal of Clinical Nutrition 67, no. 5 (October 24, 2012): 430–35. http://dx.doi.org/10.1038/ejcn.2012.145.
Повний текст джерелаKoromina, Maria, Valentini Konstantinidou, Malvina Georgaka, Federico Innocenti, and George P. Patrinos. "Nutrigenetics and nutrigenomics: ready for clinical use or still a way to go?" Personalized Medicine 17, no. 3 (May 1, 2020): 171–73. http://dx.doi.org/10.2217/pme-2020-0007.
Повний текст джерелаAnnalisa, Olivotti. "Nutrigenetics and nutrigenomics may lead to personalised nutrition." European Journal of Integrative Medicine 4 (September 2012): 107. http://dx.doi.org/10.1016/j.eujim.2012.07.722.
Повний текст джерелаStewart-Knox, Barbara, Audrey Rankin, Sharron Kuznesof, Rui Poínhos, Maria Daniel Vaz de Almeida, Arnout Fischer, and Lynn J. Frewer. "Promoting healthy dietary behaviour through personalised nutrition: technology push or technology pull?" Proceedings of the Nutrition Society 74, no. 2 (October 24, 2014): 171–76. http://dx.doi.org/10.1017/s0029665114001529.
Повний текст джерелаMathers, John C. "Nutrigenomics in the modern era." Proceedings of the Nutrition Society 76, no. 3 (November 7, 2016): 265–75. http://dx.doi.org/10.1017/s002966511600080x.
Повний текст джерелаRay, Subhasree. "Personalized Modification of Breast Milk to Help Enhancing Nutrition Profile of Neonates: A short Communication." Current Research in Nutrition and Food Science Journal 2, no. 1 (April 28, 2014): 47–50. http://dx.doi.org/10.12944/crnfsj.2.1.07.
Повний текст джерелаMaranhão, Priscila, Gustavo Bacelar-Silva, Duarte Ferreira, Conceição Calhau, Pedro Vieira-Marques, and Ricardo Cruz-Correia. "Nutrigenomic Information in the openEHR Data Set." Applied Clinical Informatics 09, no. 01 (January 2018): 221–31. http://dx.doi.org/10.1055/s-0038-1635115.
Повний текст джерелаДисертації з теми "Nutrigenomics and personalised nutrition"
Wilkins, Julianne G. "Knowledge and Perception of College Students Toward Genetic Testing for Personalized Nutrition Care." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1491906065477344.
Повний текст джерелаTarasov, Stanislav. "Business solution for a food service company based on a modern nutrition concept (case of Russia)." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114364.
Повний текст джерелаGrosh, Kimberly Coile. "Nutrigenomics and Nutritional Epigenetics – The State of the Science in Academia." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308247018.
Повний текст джерелаMcAuley, Emma. "Riboflavin, MTHFR genotype and blood pressure : implications for personalised nutrition." Thesis, Ulster University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.706468.
Повний текст джерелаQuinn, Peter. "Applications of functional nutrition and nutrigenomics to improve public health through dietary interventions." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3023632/.
Повний текст джерелаStewart-Knox, Barbara J., A. Rankin, B. P. Bunting, L. J. Frewer, C. Celis-Morales, K. M. Livingstone, A. R. H. Fischer, et al. "Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study." Emerald, 2006. http://hdl.handle.net/10454/18568.
Повний текст джерелаPurpose – Randomised controlled trials identify causal links between variables but not why an outcome has occurred. This analysis sought to determine how psychological factors assessed at baseline influenced response to personalised nutrition. Design/methodology/approach – Web-based, randomised, controlled trial (RCT) was conducted across seven European countries. Volunteers, both male and female, aged over 18 years were randomised to either a non-personalised (control) or a personalised (treatment) dietary advice condition. Linear mixed model analysis with fixed effects was used to compare associations between internal and external health locus of control (HLoC), nutrition self-efficacy (NS-E) and self-report habit index (S-RHI) at baseline (N 5 1444), with healthy eating index (HEI) and Mediterranean diet index (MDI) scores between conditions post-intervention (N 5 763). Findings – An increase in MDI scores was observed between baseline and six months in the treatment group which was associated with higher NS-E (p
EU FP7 Project “Personalised nutrition: an integrated analysis of opportunities and challenges” (Contract No. KBBE. 2010.2.3–02, Project No. 265494)
Stewart-Knox, Barbara, A. Rankin, B. P. Bunting, L. J. Frewer, C. Celis-Morales, K. M. Livingstone, A. R. H. Fischer, et al. "Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study." Emerald, 2021. http://hdl.handle.net/10454/18568.
Повний текст джерелаPurpose – Randomised controlled trials identify causal links between variables but not why an outcome has occurred. This analysis sought to determine how psychological factors assessed at baseline influenced response to personalised nutrition. Design/methodology/approach – Web-based, randomised, controlled trial (RCT) was conducted across seven European countries. Volunteers, both male and female, aged over 18 years were randomised to either a non-personalised (control) or a personalised (treatment) dietary advice condition. Linear mixed model analysis with fixed effects was used to compare associations between internal and external health locus of control (HLoC), nutrition self-efficacy (NS-E) and self-report habit index (S-RHI) at baseline (N 5 1444), with healthy eating index (HEI) and Mediterranean diet index (MDI) scores between conditions post-intervention (N 5 763). Findings – An increase in MDI scores was observed between baseline and six months in the treatment group which was associated with higher NS-E (p
EU FP7 Project “Personalised nutrition: an integrated analysis of opportunities and challenges” (Contract No. KBBE. 2010.2.3–02, Project No. 265494)
Li, Sherly (Xueyi). "The interplay between genes and dietary factors in the aetiology of Type 2 Diabetes Mellitus." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275094.
Повний текст джерелаCoelho, Carolina de Almeida. "Perfil metabólico e do estado nutricional de crianças e adolescentes de escolas da cidade de Ribeirão Preto, São Paulo, Brasil." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/17/17144/tde-11032014-090751/.
Повний текст джерелаIntroduction: Few studies have correlated metabolic profile and nutritional status in children and adolescents after dietary intervention . Objectives: To identify the existence of different metabolic groups formed by individuals 9-13 years undergoing nutritional intervention through biochemical data (glucose levels, total cholesterol, triglycerides, VLDL cholesterol, LDL cholesterol and HDL cholesterol) collected in three stages of the study, and to describe the longitudinal evolution of the nutritional and metabolic profile in these groups. Methodology: Clinical intervention self-controlled study, based on measuring the biochemical profile (glucose levels, total cholesterol, triglycerides, VLDL cholesterol, LDL cholesterol and HDL cholesterol) and nutritional status (anthropometry, body composition and dietary intake data) at three times: at baseline (before the intervention started), after six weeks of supplementation of vitamins and minerals and after more six weeks without this intervention, to assess how an individual, 9-13 years old answered the multiple micronutrient supplementation. Physical activity level was also assessed through a tool called bodybugg®. Results: One hundred and thirty six subjects were studied until the third moment of the data collection. 43.4% were male and 56.6% were female. The average age was 11.39 ± 1.10 years. Most participants belonged to pubertal stage 2 (43.4%) and 3 (35.3%). Regarding the economic status of the participants, the majority belonged to the category B2 (38.2%) and C1 (26.5%). Of the total sample, at moment 1, 4.4% of participants had severe underweight, 5.9% were underweight, 41.9% were with the proper weight, 22.8% were overweight and 25% were obese. At the moment 2, 3.7% of participants had severe underweight, 7.4% were underweight, 42.6% had normal weight, 22.1% were overweight and 24.3% were obese. And at the moment 3, 3.7% of participants had severe thinness, 6.6% were underweight, 41.2% had normal weight, 22.8% were overweight and 25.7% were obese. On average we found: 3.7% of participants with severe thinness, 5.9% with malnutrition, 41.9% with adequate weight, 24.3% overweight and 24.3% obese. The clustering of the participants used as criteria the metabolic profile (glucose levels, total cholesterol, triglycerides, VLDL cholesterol, LDL cholesterol and HDL cholesterol) of the three stages of the study through the statistical approach K - cluster. Cluster 1 (n = 111) had a higher proportion of females when compared to cluster 2 (n = 25) (p = 0.006) and better metabolic profile (lipid and glycemia). Participants who had better metabolic profile (cluster 1) showed lower weight, body mass index (BMI), waist circumference (WC) and fat mass (weight %) when compared to participants in cluster 2. Lean body mass (weight %) and total body water (% weight) were statistically higher in participants in cluster 1. The analysis of the habitual intake (food frequency questionnaire - FFQ) showed that participants in cluster 1 were had higher intake of vitamin B2 and vitamin B6 when compared to cluster 2 (p < 0,05). Cluster 1 also showed higher values C - reactive protein (CRP) and higher levels of iron. The latent capacity for iron binding (UIBC) and leukocytes were higher in cluster 2. There was no difference between the level of physical activity practiced by clusters 1 and 2, both had light physical activity. Longitudinal analysis showed that there was an increase in height and weight in clusters 1 and 2. A longitudinal assessment of usual intake (FFQ) in cluster 1 showed reduced intake of energy, carbohydrate, protein and lipid from moment 1 (M1) to moment 2 (M2) and moment 3 (M3). Supplementation with vitamins showed significant statistical results, consistent with supplementation and washout for most vitamins and minerals in clusters 1 and 2. A longitudinal analysis (correcting for age, gender, pubertal stage, and energy intake, carbohydrate and lipid) in cluster 1 showed that total cholesterol and LDL decreased throughout the study, blood glucose decreased from time 1 to time 2, but CRP increased in moment 2; hemoglobin and serum iron decreased from 1 to 2 and from 1 to 3. In cluster 2, total cholesterol and LDL decreased throughout the study, CRP increased throughout the study, serum iron decreased from time 1 to time 2. Conclusions: We found two reverse metabolic groups. Individuals may respond differently to the same intervention, and it is possible that multiple micronutrient supplementation has a role in improving glycemia and lipid profile of some subjects. Genotyping and proteomics studies may reinforce this hypothesis and help understand how the biological system of children and adolescents interact to culminate in a response against an intervention.
Lima, Ana Rita da Cunha. "Nutrigenómica." Master's thesis, [s.n.], 2014. http://hdl.handle.net/10284/4430.
Повний текст джерелаNuma sociedade cada vez mais preocupada com a saúde, a nutrição tem desempenhado um papel muito importante, não só com a causa da doença, mas também como uma forma de prevenção da doença. Isto ocorre porque os nutrientes são capazes de interagir com os mecanismos moleculares do organismo e assim, modificar as funções fisiológicas. A nutrigenómica (o estudo dos nutrientes na expressão dos genes) pode assim ser explorada de duas formas: os alimentos podem influenciar a atividade dos genes, e os genes podem influenciar a necessidade de certos nutrientes. Isto proporciona uma compreensão genética de como os componentes da dieta comum poderão afetar o equilíbrio entre a saúde e a doença, alterando desta forma a expressão e ou estrutura da composição genética de um individuo. Apesar de os indivíduos serem diferentes uns dos outros, o genoma é 99,9% semelhante entre eles. Esta diferença de 0.1% representa variações visíveis como a cor do cabelo, pele e olhos e diferenças mais subtis, como o aumento de predisposição para desenvolver doenças crónicas e a necessidade de determinados nutrientes e compostos bioativos. As várias mudanças nos hábitos alimentares e estilo de vida que surgem no dia-a-dia das pessoas podem assim estar relacionadas com o aparecimento de doenças influenciadas pela alimentação. Assim, lições de Nutrigenómica mostram a importância de consciencializar as pessoas para a importância da nutrição no estado de saúde de cada ser humano individual. No presente trabalho, pretende-se transmitir ao leitor uma visão compreensível mas ampla e detalhada de como a nutrigenómica é importante e quais as vantagens de usar esta ferramenta de estudo. In an increasingly health-conscious society, nutrition has played a very important role not only as the cause of disease but also as a way of disease prevention. This occurs because nutrients are able to interact with the organism’s molecular mechanisms and thereby modify physiological functions Nutrigenomics (the study of the influence of nutrients in gene expression) can thus be explored in two ways: food can influence the activity of genes and; genes can influence the need for certain nutrients. This provides an understanding of how the genetic components of common diets may affect the balance between health and disease, thereby altering the expression or structure and the genetic makeup of an individual. Despite being different from each other individual, the Human Genome is 99,9 % similar between individuals. This 0.1 % difference accounts for visible variations such in hair, skin and eye color and more subtle differences such as the increased predisposition to develop chronic diseases and the need for certain nutrients and bioactive compounds. The various changes in eating habits and lifestyle that arise in the day-to-day life of people can thus be related to the onset of diet-related disorders. Thus, lessons from Nutrigenomics indicate the importance of making people aware of the relevance of nutrition in the health status of every individual human being. The present work, aims at providing the reader with a comprehensive but broad and detailed view of how nutrigenomics is important and what are the advantages of using this study tool.
Книги з теми "Nutrigenomics and personalised nutrition"
Ferguson, Lynnette R. Nutrigenomics and nutrigenetics in functional foods and personalized nutrition. Boca Raton, FL: Taylor & Francis/CRC Press, 2014.
Знайти повний текст джерелаInternational Society of Nutrigenetics/Nutrigenomics. Congress. Personalized nutrition: Translating nutrigenetic/nutrigenomic research into dietary guidelines. Edited by Simopoulos Artemis P. 1933- and Milner, J. A. (John A.). Basel: Karger, 2010.
Знайти повний текст джерелаGerald, Rimbach, Fuchs, Jürgen, 1957 June 28-, and Packer Lester, eds. Nutrigenomics. Boca Raton: Taylor & Francis, 2005.
Знайти повний текст джерелаILSI International Conference on Nutrigenomics (1st 2005 Singapore). Nutrigenomics: Opportunities in Asia. Edited by Tai E. S and Gillies P. E. Basel: Karger, 2007.
Знайти повний текст джерелаPray, Leslie, ed. Nutrigenomics and the Future of Nutrition. Washington, D.C.: National Academies Press, 2018. http://dx.doi.org/10.17226/25049.
Повний текст джерелаPray, Leslie, ed. Nutrigenomics and the Future of Nutrition. Washington, D.C.: National Academies Press, 2018. http://dx.doi.org/10.17226/25147.
Повний текст джерелаDesign of human nutrigenomics studies. Wageningen, the Netherlands: Wageningen Academic Publishers, 2009.
Знайти повний текст джерелаZoumbaris, Sharon K. Nutrition. Santa Barbara, Calif: Greenwood Press/ABC-CLIO, 2009.
Знайти повний текст джерелаNutrition. Santa Barbara, Calif: Greenwood Press/ABC-CLIO, 2009.
Знайти повний текст джерелаYoshinori, Mine, Miyashita Kazuo, and Shahidi Fereidoon 1951-, eds. Nutrigenomics and proteomics in health and disease: Impact of food factors-gene interactions. Ames: Wiley-Blackwell, 2009.
Знайти повний текст джерелаЧастини книг з теми "Nutrigenomics and personalised nutrition"
Ghazal, Hassan, Nihal Habib, Abdellah Idrissi Azami, Kamal Aberkani, Imane Motaib, and Fadil Bakkali. "Nutrigenomics and Transcriptomics for a Personalized Nutrition." In Nutrition and Human Health, 131–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93971-7_10.
Повний текст джерелаHabib, Nihal, Abdellah Idrissi Azami, Kamal Aberkani, Imane Motaib, Fadil Bakkali, and Hassan Ghazal. "Correction to: Nutrigenomics and Transcriptomics for a Personalized Nutrition." In Nutrition and Human Health, C1. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93971-7_24.
Повний текст джерелаBobo, Tierra, Mai Magdy, Ali Ray, Mya Vannoy, Ahmad Dakhlallah, Ansaar Rai, and Duaa Dakhlallah. "Nutrigenomics and Big Data: Purposes, Relation to Personalized Medicine, and Personalized Nutrition." In Nutritional Neurosciences, 121–33. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9205-5_9.
Повний текст джерелаBerdanier, Carolyn D., and Lynne Berdanier. "Nutrigenomics." In Advanced Nutrition, 171–99. 3rd ed. 3rd edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003093664-10.
Повний текст джерелаCarlberg, Carsten, Stine Marie Ulven, and Ferdinand Molnár. "Sensing Nutrition." In Nutrigenomics, 47–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30415-1_3.
Повний текст джерелаCarlberg, Carsten, Stine Marie Ulven, and Ferdinand Molnár. "Nutrition and Common Diseases." In Nutrigenomics, 3–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30415-1_1.
Повний текст джерелаMathias, Dietger. "Nutrigenomics." In Fit and Healthy from 1 to 100 with Nutrition and Exercise, 115–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65961-8_54.
Повний текст джерелаCarlberg, Carsten, Stine Marie Ulven, and Ferdinand Molnár. "Sensing Nutrition." In Nutrigenomics: How Science Works, 31–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36948-4_3.
Повний текст джерелаKataki, Manjir Sarma, Ananya Rajkumari, and Bhaskar Mazumder. "Nutrition and Healthy Aging." In Nutrigenomics and Nutraceuticals, 451–82. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315153711-18.
Повний текст джерелаCobiac, Lynne. "Epigenomics and Nutrition." In Nutrigenomics - Opportunities in Asia, 31–41. Basel: KARGER, 2007. http://dx.doi.org/10.1159/000107065.
Повний текст джерелаТези доповідей конференцій з теми "Nutrigenomics and personalised nutrition"
Yang, Jitao. "Personalized Nutrition Solution Based on Nutrigenomics." In 2019 19th International Conference on Computational Science and Its Applications (ICCSA). IEEE, 2019. http://dx.doi.org/10.1109/iccsa.2019.00006.
Повний текст джерелаSundarramurthi, M., Nihar M, and Anandi Giridharan. "Personalised Food Classifier and Nutrition Interpreter Multimedia Tool Using Deep Learning." In TENCON 2020 - 2020 IEEE REGION 10 CONFERENCE (TENCON). IEEE, 2020. http://dx.doi.org/10.1109/tencon50793.2020.9293908.
Повний текст джерелаJemos, C., M. Milani, M. Piccoli, N. Martella, M. Venturino, and E. Omodeo Salè. "CP-082 Impact of pharmacists’ expertise on personalised parenteral nutrition prescriptions in an intensive care unit: physicians’ perceptions." In 22nd EAHP Congress 22–24 March 2017 Cannes, France. British Medical Journal Publishing Group, 2017. http://dx.doi.org/10.1136/ejhpharm-2017-000640.81.
Повний текст джерела