Literature DB >> 32234083

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

Katherine M Livingstone1,2, Carlos Celis-Morales1,3, Santiago Navas-Carretero4, Rodrigo San-Cristobal4,5, Hannah Forster6, Clara Woolhead6, Clare B O'Donovan6, George Moschonis7,8, Yannis Manios7, Iwona Traczyk9, Thomas E Gundersen10, Christian A Drevon11, Cyril F M Marsaux12, Rosalind Fallaize13, Anna L Macready13, Hannelore Daniel14, Wim H M Saris12, Julie A Lovegrove13, Mike Gibney6, Eileen R Gibney6, Marianne Walsh6, Lorraine Brennan6, J A Martinez4,5, John C Mathers1.   

Abstract

Little is known about who would benefit from Internet-based personalised nutrition (PN) interventions. This study aimed to evaluate the characteristics of participants who achieved greatest improvements (i.e. benefit) in diet, adiposity and biomarkers following an Internet-based PN intervention. Adults (n 1607) from seven European countries were recruited into a 6-month, randomised controlled trial (Food4Me) and randomised to receive conventional dietary advice (control) or PN advice. Information on dietary intake, adiposity, physical activity (PA), blood biomarkers and participant characteristics was collected at baseline and month 6. Benefit from the intervention was defined as ≥5 % change in the primary outcome (Healthy Eating Index) and secondary outcomes (waist circumference and BMI, PA, sedentary time and plasma concentrations of cholesterol, carotenoids and omega-3 index) at month 6. For our primary outcome, benefit from the intervention was greater in older participants, women and participants with lower HEI scores at baseline. Benefit was greater for individuals reporting greater self-efficacy for 'sticking to healthful foods' and who 'felt weird if [they] didn't eat healthily'. Participants benefited more if they reported wanting to improve their health and well-being. The characteristics of individuals benefiting did not differ by other demographic, health-related, anthropometric or genotypic characteristics. Findings were similar for secondary outcomes. These findings have implications for the design of more effective future PN intervention studies and for tailored nutritional advice in public health and clinical settings.

Entities:  

Keywords:  Adults; European; Food4Me; Internet-based interventions; Personalised nutrition

Mesh:

Year:  2020        PMID: 32234083     DOI: 10.1017/S0007114520000653

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  4 in total

1.  Does Personalized Nutrition Advice Improve Dietary Intake in Healthy Adults? A Systematic Review of Randomized Controlled Trials.

Authors:  Rachael Jinnette; Ai Narita; Byron Manning; Sarah A McNaughton; John C Mathers; Katherine M Livingstone
Journal:  Adv Nutr       Date:  2021-06-01       Impact factor: 8.701

Review 2.  The Effectiveness of Interventions to Reduce Sedentary Time in Different Target Groups and Settings in Germany: Systematic Review, Meta-Analysis and Recommendations on Interventions.

Authors:  Nida Mugler; Hansjörg Baurecht; Kevin Lam; Michael Leitzmann; Carmen Jochem
Journal:  Int J Environ Res Public Health       Date:  2022-08-17       Impact factor: 4.614

Review 3.  Effect of Personalized Nutrition on Dietary, Physical Activity, and Health Outcomes: A Systematic Review of Randomized Trials.

Authors:  Sangeetha Shyam; Ke Xin Lee; Angeline Shu Wei Tan; Tien An Khoo; Shivani Harikrishnan; Shehzeen Alnoor Lalani; Amutha Ramadas
Journal:  Nutrients       Date:  2022-10-02       Impact factor: 6.706

4.  Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study.

Authors:  Rosa Ribot-Rodriguez; Andrea Higuera-Gomez; Rodrigo San-Cristobal; Roberto Martín-Hernández; Víctor Micó; Isabel Espinosa-Salinas; Ana Ramírez de Molina; J Alfredo Martínez
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

  4 in total

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