Personalising nutritional guidance for more effective behaviour change

Mediterranean Diet, Traditional Risk Factors, and the Rate of Cardiovascular Complications After Myocardial Infarction: Final Report of the Lyon Diet Heart Study

de Lorgeril, M., Salen, P., Martin, J.-L., Monjaud, I., Delaye, J., & Mamelle, N. (1999) · Circulation · doi:10.1161/01.cir.99.6.779 · Cited by 2,910

A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy

Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., & French, D. P. (2011) · Psychology & Health · doi:10.1080/08870446.2010.540664 · Cited by 1,756

Accruing evidence on benefits of adherence to the Mediterranean diet on health: an updated systematic review and meta-analysis

Sofi, F., Abbate, R., Gensini, G. F., & Casini, A. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29673 · Cited by 1,605

Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies

Wang, X., Ouyang, Y., Liu, J., Zhu, M., Zhao, G., Bao, W., & Hu, F. B. (2014) · BMJ · doi:10.1136/bmj.g4490 · Cited by 1,596

Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies

Dauchet, L., Amouyel, P., Hercberg, S., & Dallongeville, J. (2006) · The Journal of Nutrition · doi:10.1093/jn/136.10.2588 · Cited by 1,204

Fruit and vegetable consumption and stroke: meta-analysis of cohort studies

He, F. J., Nowson, C. A., & MacGregor, G. A. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68069-0 · Cited by 1,108

Using Internet technology to deliver a behavioral weight loss program

Tate, D. F. (2001) · JAMA · doi:10.1001/jama.285.9.1172 · Cited by 925

Combined Impact of Health Behaviours and Mortality in Men and Women: The EPIC-Norfolk Prospective Population Study

Khaw, K.-T., Wareham, N., Bingham, S., Welch, A., Luben, R., & Day, N. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050012 · Cited by 840

Modified Mediterranean diet and survival: EPIC-elderly prospective cohort study

Trichopoulou, A., Orfanos, P., Norat, T., Bueno-de-Mesquita, B. H., Ocké, M. C., Peeters, P. H. M., van der Schouw, Y. T., Boeing, H., Hoffmann, K., Boffetta, P., et al. (2005) · BMJ · doi:10.1136/bmj.38415.644155.8f · Cited by 789

Personalised nutrition and health

Ordovás, J. M., Ferguson, L. R., Tai, E. S., & Mathers, J. C. (2018) · BMJ · doi:10.1136/bmj.k2173 · Cited by 699

Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial

Celis-Morales, C., Livingstone, K. M., Marsaux, C. F. M., Macready, A. L., Fallaize, R., O’Donovan, C. B., Woolhead, C., Forster, H., Walsh, M. C., Navas-Carretero, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw186 · Cited by 399

Healthy Eating and Active Lifestyles

OECD (2022) · OECD eBooks · doi:10.1787/40f65568-en · Cited by 290

Precision nutrition: A systematic literature review

Kirk, D., Catal, C., & Tekinerdogan, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104365 · Cited by 238

Effects of a personalized nutrition program on cardiometabolic health: a randomized controlled trial

Bermingham, K. M., Linenberg, I., Polidori, L., Asnicar, F., Arrè, A., Wolf, J., Badri, F., Bernard, H., Pujol, J. C., Bulsiewicz, W. J., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02951-6 · Cited by 189

Challenges in Personalized Nutrition and Health

Verma, M., Hontecillas, R., Tubau‐Juni, N., Abedi, V., & Bassaganya-Riera, J. (2018) · Frontiers in Nutrition · doi:10.3389/fnut.2018.00117 · Cited by 153

FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials

Livingstone, K. M., Celis-Morales, C. A., Papandonatos, G. D., Erar, B., Florez, J. C., Jablonski, K. A., Razquín, C., Martí, A., Heianza, Y., Huang, T., et al. (2016) · BMJ · doi:10.1136/bmj.i4707 · Cited by 150

Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study

Livingstone, K. M., Celis-Morales, C., Navas-Carretero, S., San-Cristobal, R., Macready, A. L., Fallaize, R., Forster, H., Woolhead, C., O’Donovan, C. B., Marsaux, C. F., et al. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.129049 · Cited by 115

Nutrigenomics in the modern era

Mathers, J. C. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s002966511600080x · Cited by 118

Optimal nutrition and the ever-changing dietary landscape: a conference report

Shao, A., Drewnowski, A., Willcox, D. C., Krämer, L., Lausted, C. G., Eggersdorfer, M. L., Mathers, J. C., Bell, J. D., Randolph, R. K., Witkamp, R. F., et al. (2017) · European Journal of Nutrition · doi:10.1007/s00394-017-1460-9 · Cited by 97

Can genetic-based advice help you lose weight? Findings from the Food4Me European randomized controlled trial1–3

Celis-Morales, C. A., Marsaux, C. F. M., Livingstone, K. M., Navas‐Carretero, S., San-Cristóbal, R., Fallaize, R., Macready, A. L., O’Donovan, C. B., Woolhead, C., Forster, H., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.145680 · Cited by 98

From lifespan to healthspan: the role of nutrition in healthy ageing

Wickramasinghe, K. K., Mathers, J. C., Wopereis, S., Marsman, D. S., & Griffiths, J. C. (2020) · Journal of Nutritional Science · doi:10.1017/jns.2020.26 · Cited by 96

Personalised eHealth interventions in adults with overweight and obesity: A systematic review and meta-analysis of randomised controlled trials

Lau, Y., Chee, D. G. H., Chow, X. P., Cheng, L. J., & Wong, S. N. (2020) · Preventive Medicine · doi:10.1016/j.ypmed.2020.106001 · Cited by 78

Pilot Randomised Controlled Trial of a Web-Based Intervention to Promote Healthy Eating, Physical Activity and Meaningful Social Connections Compared with Usual Care Control in People of Retirement Age Recruited from Workplaces

Lara, J., O’Brien, N., Godfrey, A., Heaven, B., Evans, E. H., Lloyd, S., Moffatt, S. M., Moynihan, P. J., Meyer, T. D., Rochester, L., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159703 · Cited by 76

Effect of Personalized Nutrition on Dietary, Physical Activity, and Health Outcomes: A Systematic Review of Randomized Trials

Shyam, S., Lee, K. X., Tan, A. S. W., Khoo, T. A., Harikrishnan, S., Lalani, S. A., & Ramadas, A. (2022) · Nutrients · doi:10.3390/nu14194104 · Cited by 76

How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

Celis-Morales, C., Livingstone, K. M., Woolhead, C., Forster, H., O’Donovan, C. B., Macready, A. L., Fallaize, R., Marsaux, C. F. M., Tsirigoti, L., Efstathopoulou, E., et al. (2015) · Genes & Nutrition · doi:10.1007/s12263-015-0476-0 · Cited by 69

Personalised nutrition: the role of new dietary assessment methods

Forster, H., Walsh, M. C., Gibney, M. J., Brennan, L., & Gibney, E. R. (2015) · Proceedings of The Nutrition Society · doi:10.1017/s0029665115002086 · Cited by 70

The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial

Fallaize, R., Celis-Morales, C. A., Macready, A. L., Marsaux, C. F. M., Forster, H., O’Donovan, C. B., Woolhead, C., San-Cristóbal, R., Kolossa, S., Hallmann, J., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.135012 · Cited by 66

Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial

Livingstone, K. M., Celis-Morales, C. A., Navas‐Carretero, S., San-Cristóbal, R., Forster, H., Woolhead, C., O’Donovan, C. B., Moschonis, G., Μanios, Y., Traczyk, I., et al. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01136-5 · Cited by 66

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

Marsaux, C. F. M., Celis-Morales, C. A., Livingstone, K. M., Fallaize, R., Kolossa, S., Hallmann, J., San-Cristóbal, R., Navas‐Carretero, S., O’Donovan, C. B., Woolhead, C., et al. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5198 · Cited by 59

Sleep characteristics modify the association of genetic predisposition with obesity and anthropometric measurements in 119,679 UK Biobank participants1–3

Celis-Morales, C. A., Lyall, D. M., Guo, Y., Steell, L., Llanas, D., Ward, J., Mackay, D., Biello, S. M., Bailey, M. E. S., Pell, J. P., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.147231 · Cited by 60

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

Forster, H., Walsh, M. C., O’Donovan, C. B., Woolhead, C., McGirr, C., Daly, E. J., O'Riordan, R., Celis-Morales, C. A., Fallaize, R., Macready, A. L., et al. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5620 · Cited by 54

Barriers and facilitators to implementing pressure injury prevention and management guidelines in acute care: A mixed-methods systematic review

Wan, C. S., Cheng, H., Musgrave‐Takeda, M., Liu, M., Tobiano, G., McMahon, J., & McInnes, E. (2023) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2023.104557 · Cited by 61

Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes

Antwi, J. (2023) · Current Nutrition Reports · doi:10.1007/s13668-023-00491-y · Cited by 53

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications

Rouskas, K., Guela, M., Pantoura, M., Pagkalos, I. G., Hassapidou, M. N., Lalama, E., Pfeiffer, A. F. H., Decorte, E., Cornelissen, V., Wilson-Barnes, S., et al. (2025) · Nutrients · doi:10.3390/nu17071260 · Cited by 53

Dietary fat and total energy intake modifies the association of genetic profile risk score on obesity: evidence from 48 170 UK Biobank participants

Celis-Morales, C. A., Lyall, D. M., Gray, S. R., Steell, L., Anderson, J. J., Iliodromiti, S., Welsh, P. I., Guo, Y., Petermann-Rocha, F. E., Mackay, D., et al. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.169 · Cited by 48

Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial

Franco, R. Z., Fallaize, R., Weech, M., Hwang, F., & Lovegrove, J. A. (2022) · Journal of Medical Internet Research · doi:10.2196/29088 · Cited by 49

Profile of European adults interested in internet-based personalised nutrition: the Food4Me study

Livingstone, K. M., Celis-Morales, C. A., Navas‐Carretero, S., San-Cristóbal, R., O’Donovan, C. B., Forster, H., Woolhead, C., Marsaux, C. F. M., Macready, A. L., Fallaize, R., et al. (2015) · European Journal of Nutrition · doi:10.1007/s00394-015-0897-y · Cited by 45

Effects of a multi-component nutritional telemonitoring intervention on nutritional status, diet quality, physical functioning and quality of life of community-dwelling older adults

Atten, M. N. V. D.-V., Haveman‐Nies, A., van Bakel, M. M., Ferry, M., Franco, M., de Groot, C. P. G. M., & de Vries, J. H. M. (2018) · British Journal Of Nutrition · doi:10.1017/s0007114518000843 · Cited by 41

The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center

Ulusoy, H. G., & Rakıcıoğlu, N. (2024) · Current Nutrition Reports · doi:10.1007/s13668-024-00550-y · Cited by 47

A Novel Personalized Systems Nutrition Program Improves Dietary Patterns, Lifestyle Behaviors and Health-Related Outcomes: Results from the Habit Study

de Hoogh, I. M., Winters, B., Nieman, K. M., Bijlsma, S., Krone, T., van den Broek, T. J., Anderson, B. D., Caspers, M. P. M., Anthony, J. C., & Wopereis, S. (2021) · Nutrients · doi:10.3390/nu13061763 · Cited by 40

Acceptability, Usability, and Quality of a Personalized Daily Meal Plan Recommender System: The Case of Virtual Dietitian

Garcia, M. B., Mangaba, J. B., & Tanchoco, C. C. (2021) · IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) · doi:10.1109/hnicem54116.2021.9732056 · Cited by 35

Components, prospects and challenges of personalized prevention

Jaskulski, S., Nuszbaum, C., & Michels, K. B. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1075076 · Cited by 43

Physical activity equivalent labeling vs. calorie labeling: a systematic review and meta-analysis

Seyedhamzeh, S., Bagheri, M., Keshtkar, A., Qorbani, M., & Viera, A. J. (2018) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-018-0720-2 · Cited by 39

Digital behaviour change interventions to increase vegetable intake in adults: a systematic review

Livingstone, K. M., Rawstorn, J. C., Partridge, S. R., Godrich, S. L., McNaughton, S. A., Hendrie, G. A., Blekkenhorst, L. C., Maddison, R., Zhang, Y., Barnett, S., et al. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01439-9 · Cited by 36

Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes: Findings from the European Food4Me Internet-Based RCT

Celis-Morales, C. A., Livingstone, K. M., Petermann-Rocha, F. E., Navas‐Carretero, S., San-Cristóbal, R., O’Donovan, C. B., Moschonis, G., Μanios, Y., Traczyk, I., Drevon, C. A., et al. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.03.024 · Cited by 34

Molecular annotation of food – Towards personalized diet and precision health

Gan, J., Siegel, J. B., & German, J. B. (2019) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2019.07.016 · Cited by 34

Knowing your genes: does this impact behaviour change?

O’Donovan, C. B., Walsh, M. C., Gibney, M. J., Brennan, L., & Gibney, E. R. (2017) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116002949 · Cited by 33

Dietary Patterns and Socioeconomic Status in the Very Old: The Newcastle 85+ Study

Granic, A., Davies, K., Adamson, A., Kirkwood, T. B. L., Hill, T. R., Siervo, M., Mathers, J. C., & Jagger, C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139713 · Cited by 32

Can metabotyping help deliver the promise of personalised nutrition?

O’Donovan, C. B., Walsh, M. C., Gibney, M. J., Gibney, E. R., & Brennan, L. (2015) · Proceedings of The Nutrition Society · doi:10.1017/s0029665115002347 · Cited by 31

Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality

Martinon, P., Saliasi, I., Bourgeois, D. M., Smentek, C., Dussart, C., Fraticelli, L., & Carrouel, F. (2022) · JMIR mhealth and uhealth · doi:10.2196/35879 · Cited by 29

Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

Dimitratos, S. M., German, J. B., & Schaefer, S. E. (2020) · JMIR mHealth and uHealth · doi:10.2196/16405 · Cited by 30

Optimisation of a metabotype approach to deliver targeted dietary advice

Hillesheim, E., Ryan, M. F., Gibney, E. R., Roche, H. M., & Brennan, L. (2020) · Nutrition & Metabolism · doi:10.1186/s12986-020-00499-z · Cited by 30

Application of Behavior Change Techniques in a Personalized Nutrition Electronic Health Intervention Study: Protocol for the Web-Based Food4Me Randomized Controlled Trial

Macready, A. L., Fallaize, R., Butler, L. T., Ellis, J. A., Kuznesof, S. A., Frewer, L. J., Celis-Morales, C. A., Livingstone, K. M., Araújo‐Soares, V., Fischer, A. R. H., et al. (2018) · JMIR Research Protocols · doi:10.2196/resprot.8703 · Cited by 28

Healthy eating strategies: Individually different or context-dependent?

Verain, M. C. D., Bouwman, E. P., Galama, J., & Reinders, M. J. (2021) · Appetite · doi:10.1016/j.appet.2021.105759 · Cited by 28

Microbiome-based personalized nutrition as a result of the 4.0 technological revolution: A mini literature review

Yeşilyurt, N., Yılmaz, B., Ağagündüz, D., & Capasso, R. (2022) · Process Biochemistry · doi:10.1016/j.procbio.2022.07.012 · Cited by 29

Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial

Livingstone, K. M., Celis-Morales, C. A., Navas‐Carretero, S., San-Cristóbal, R., Forster, H., Woolhead, C., O’Donovan, C. B., Moschonis, G., Μanios, Y., Traczyk, I., et al. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520000653 · Cited by 27

The Personalized Nutrition Study (POINTS): evaluation of a genetically informed weight loss approach, a Randomized Clinical Trial

Höchsmann, C., Yang, S., Ordovás, J. M., Dorling, J. L., Champagne, C. M., Apolzan, J. W., Greenway, F. L., Cardel, M. I., Foster, G. D., & Martin, C. K. (2023) · Nature Communications · doi:10.1038/s41467-023-41969-1 · Cited by 28

Determinants of consumer acceptance and use of personalized dietary advice: A systematic review

Reinders, M. J., Starke, A. D., Fischer, A. R. H., Verain, M. C. D., Doets, E. L., & Loo, E. J. V. (2022) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2022.12.008 · Cited by 23

Nutrition and Ageing

Malcomson, F. C., & Mathers, J. C. (2018) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-981-13-2835-0_13 · Cited by 21

Feasibility and acceptability of a multi-domain intervention to increase Mediterranean diet adherence and physical activity in older UK adults at risk of dementia: protocol for the MedEx-UK randomised controlled trial

Shannon, O. M., Lee, V. Y., Bundy, R., Gillings, R., Jennings, A., Stephan, B. C. M., Hornberger, M., Balanos, G. M., Paddick, S., Hanson, S., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-042823 · Cited by 22

Harnessing AI and Gut Microbiome Research for Precision Health

Saxena, R., Sharma, V., Saxena, A. R., & Patel, A. (2024) · Journal of Artificial Intelligence General science (JAIGS) · doi:10.60087/jaigs.v3i1.68 · Cited by 26

Vitamin C, Antioxidant Status, and Cardiovascular Aging

Ashor, A. W., Siervo, M., & Mathers, J. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801816-3.00043-1 · Cited by 23

Factores asociados a sedentarismo en Chile: evidencia de la Encuesta Nacional de Salud 2009-2010

Martínez-Sangüinetti, M. A., Leiva, A. M., Petermann-Rocha, F. E., Garrido, A., Díaz, X., Álvarez, C., Salas, C., Cristi‐Montero, C., Rodríguez‐Rodríguez, F., Aguilar-Farías, N., et al. (2018) · Revista médica de Chile · doi:10.4067/s0034-98872018000100022 · Cited by 23

Characteristics of European adults who dropped out from the Food4Me Internet-based personalised nutrition intervention

Livingstone, K. M., Celis-Morales, C. A., Macready, A. L., Fallaize, R., Forster, H., Woolhead, C., O’Donovan, C. B., Marsaux, C. F. M., Navas‐Carretero, S., San-Cristóbal, R., et al. (2016) · Public Health Nutrition · doi:10.1017/s1368980016002020 · Cited by 21

Knowledge and Attitudes Towards Nutrigenetics: Findings from the 2019 Unified Forces Preventive Nutrition Conference (UFPN)

Shriqui, V. K., Salem, H., Boaz, M., & Birk, R. Z. (2020) · Nutrients · doi:10.3390/nu12020335 · Cited by 21

Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4Me study

Kirwan, L., Walsh, M. C., Celis-Morales, C. A., Marsaux, C. F. M., Livingstone, K. M., Navas‐Carretero, S., Fallaize, R., O’Donovan, C. B., Woolhead, C., Forster, H., et al. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516004256 · Cited by 20

Consumer acceptance of personalised nutrition: The role of ambivalent feelings and eating context

Reinders, M. J., Bouwman, E. P., van den Puttelaar, J., & Verain, M. C. D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231342 · Cited by 20

Believing in food addiction: Helpful or counterproductive for eating behavior?

Ruddock, H. K., Christiansen, P., Jones, A., Robinson, E., Field, M., & Hardman, C. A. (2016) · Obesity · doi:10.1002/oby.21499 · Cited by 19

Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study

van der Haar, S., Hoevenaars, F. P. M., van den Brink, W. J., van den Broek, T., Timmer, M., Boorsma, A., & Doets, E. L. (2021) · JMIR Formative Research · doi:10.2196/25043 · Cited by 18

Design Issues in Personalized Nutrition Advice Systems

de Hoogh, I. M., Reinders, M. J., Doets, E. L., Hoevenaars, F. P. M., & Top, J. L. (2023) · Journal of Medical Internet Research · doi:10.2196/37667 · Cited by 17

Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study

Stewart-Knox, B. J., Rankin, A., Bunting, B. P., Frewer, L. J., Celis-Morales, C. A., Livingstone, K. M., Fischer, A. R. H., Poínhos, R., Kuznesof, S. A., Gibney, M. J., et al. (2021) · British Food Journal · doi:10.1108/bfj-03-2021-0221 · Cited by 19

Nutraceuticals for Gut–Brain Axis Health: A Novel Approach to Combat Malnutrition and Future Personalised Nutraceutical Interventions

Liu, L., Qi, W., Zhang, N., Zhang, J., Liu, S., Wang, H., Jiang, L., & Sun, Y. B. (2025) · Nutrients · doi:10.3390/nu17091551 · Cited by 17

Determinants of Behaviour Change in a Multi-Component Telemonitoring Intervention for Community-Dwelling Older Adults

Atten, M. N. V. D.-V., de Groot, C. P. G. M., de Vries, J. H. M., & Haveman‐Nies, A. (2018) · Nutrients · doi:10.3390/nu10081062 · Cited by 16

Computer-based tailored dietary counselling improves the nutrient adequacy of the diet of French pregnant women: a randomised controlled trial

Bianchi, C. M., Mariotti, F., Lluch, A., Journet, C., Stehr, Y., Beaussier, H., Fournier, J., Dervaux, S., Cohen-Tanuggi, D., Reulet, E., et al. (2019) · British Journal Of Nutrition · doi:10.1017/s0007114519002617 · Cited by 15

New tools for personalised nutrition: The F ood4 M e project

Ryan, N. M., O’Donovan, C. B., Forster, H., Woolhead, C., & Walsh, M. C. (2015) · Nutrition Bulletin · doi:10.1111/nbu.12143 · Cited by 16

Healthy or Not Healthy? A Mixed-Methods Approach to Evaluate Front-of-Pack Nutrition Labels as a Tool to Guide Consumers

Todd, M., Guetterman, T. C., Volschenk, J., Kidd, M., & Joubert, E. (2022) · Nutrients · doi:10.3390/nu14142801 · Cited by 14

Determination of factors associated with serum cholesterol response to dairy fat consumption in overweight adults: Secondary analysis from an RCT

O’Connor, A., Feeney, E. L., Bhargava, N., Noronha, N., & Gibney, E. R. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.945723 · Cited by 13

Healthy Nutrition, Physical Activity, and Sleep Hygiene to Promote Cardiometabolic Health of Airline Pilots: A Narrative Review

Wilson, D., Driller, M. W., Johnston, B., & Gill, N. (2023) · Journal of Lifestyle Medicine · doi:10.15280/jlm.2023.13.1.1 · Cited by 19

Assessing the antioxidant and metabolic effect of an alpha-lipoic acid and acetyl-L-carnitine nutraceutical

López-Maldonado, A., Pastoriza, S., & Rufián‐Henares, J. Á. (2021) · Current Research in Food Science · doi:10.1016/j.crfs.2021.05.002 · Cited by 12

A Mixed-Method Approach to Develop and Validate an Integrated Food Literacy Tool for Personalized Food Literacy Guidance

Boedt, T., Steenackers, N., Verbeke, J., Vermeulen, A., Backer, C. J. S. D., Yiga, P., & Matthys, C. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2021.760493 · Cited by 12

What do we know about the nutritional status of the very old? Insights from three cohorts of advanced age from the UK and New Zealand

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