43 results on '"Kolossa S"'
Search Results
2. Corrigendum: Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study (Public Health Nutrition 19:18 (3296-305) DOI: 10.1017/S1368980016001932)
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Livingstone, Katherine, Celis-Morales, C, Lara, J, Woolhead, C, O'Donovan, CB, Forster, H, Marsaux, CFM, Macready, AL, Fallaize, R, Navas-Carretero, S, San-Cristobal, R, Kolossa, S, Tsirigoti, L, Lambrinou, CP, Moschonis, G, Surwiłło, A, Drevon, CA, Manios, Y, Traczyk, I, Gibney, ER, Brennan, L, Walsh, MC, Lovegrove, JA, Martinez, JA, Saris, WHM, Daniel, H, Gibney, M, Mathers, JC, Livingstone, Katherine, Celis-Morales, C, Lara, J, Woolhead, C, O'Donovan, CB, Forster, H, Marsaux, CFM, Macready, AL, Fallaize, R, Navas-Carretero, S, San-Cristobal, R, Kolossa, S, Tsirigoti, L, Lambrinou, CP, Moschonis, G, Surwiłło, A, Drevon, CA, Manios, Y, Traczyk, I, Gibney, ER, Brennan, L, Walsh, MC, Lovegrove, JA, Martinez, JA, Saris, WHM, Daniel, H, Gibney, M, and Mathers, JC
- Published
- 2019
3. Association between diet-quality scores, adiposity, total cholesterol and markers of nutritional status in european adults: Findings from the Food4Me study
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Fallaize, R., Livingstone, K.M., Celis-Morales, C., Macready, A.L., San-Cristobal, R., Navas-Carretero, S., Marsaux, C.F.M., O’Donovan, C.B., Kolossa, S., Moschonis, G., Walsh, M.C., Gibney, E.R., Brennan, L., Bouwman, J., Manios, Y., Jarosz, M., Martinez, J.A., Daniel, H., Saris, W.H.M., Gundersen, T.E., Drevon, C.A., Gibney, M.J., Mathers, J.C., Lovegrove, J.A., Fallaize, R., Livingstone, K.M., Celis-Morales, C., Macready, A.L., San-Cristobal, R., Navas-Carretero, S., Marsaux, C.F.M., O’Donovan, C.B., Kolossa, S., Moschonis, G., Walsh, M.C., Gibney, E.R., Brennan, L., Bouwman, J., Manios, Y., Jarosz, M., Martinez, J.A., Daniel, H., Saris, W.H.M., Gundersen, T.E., Drevon, C.A., Gibney, M.J., Mathers, J.C., and Lovegrove, J.A.
- Abstract
Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI) and markers of metabolic health (anthropometry, objective physical activity levels (PAL), and dried blood spot total cholesterol (TC), total carotenoids, and omega-3 index) in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants (n = 1480) were adults recruited from seven European Union (EU) countries. Overall, women had higher HEI and AHEI than men (p < 0.05), and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index (p trends < 0.05). Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour (p trend < 0.05). We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. Chemicals/CAS: cholesterol, 57-88-5
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- 2018
4. A dietary feedback system for the delivery of consistent\ud personalized dietary advice in the web-based multicenter\ud Food4Me study
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Forster, Hannah, Walsh, Marianne C., O'Donovan, Clare B., Woolhead, Clara, McGirr, Caroline, Daly, E. J., O'Riordan, Richard, Celis-Morales, Carlos, Fallaize, Rosalind, Macready, Anna L., Marsaux, Cyril F.M., Navas-Carretero, Santiago, San-Cristobal, Rodrigo, Kolossa, S., Hartwig, K., Mavrogianni, C., Tsirigoti, L., Lambrinou, C. P., Godlewska, M., Surwillo, A., Gjelstad, I. M. F., Drevon, C. A., Manios, Y., Traczyk, I., Martinez, J. A., Saris, W. H. M., Daniel, H., Lovegrove, Julie A., Mathers, J. C., Gibney, M. J., Gibney, E. R., and Brenan, L.
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Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.\ud Objective: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.\ud Methods: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing\ud nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3)\ud constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback\ud reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.\ud Results: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers.\ud Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary\ud advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%,\ud respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.\ud Conclusions: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems\ud for personalizing dietary advice.
- Published
- 2016
5. Profile of European adults interested in internet-based personalized nutrition: The Food4Me Study
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Livingstone, KM, Celis-Morales, C, Navas-Carretero, S, San-Cristobal, R, O’Donovan, CB, Forster, H, Woolhead, C, Marsaux, CFM, Macready, Anna, Fallaize, Rosalind, Kolossa, S, Tsirigoti, L, Lambrinou, CP, Moschonis, G, Godlewska, M, Surwiłło, A, Drevon, CA, Manios, Y, Traczyk, I, Gibney, ER, Brennan, L, Walsh, MC, Lovegrove, Julie, Martinez, JA, Saris, WH, Daniel, H, Gibney, MJ, and Mathers, JC
- Abstract
Purpose\ud Personalised intervention may have greater potential for reducing the global burden of non-communicable diseases and for promoting better health and wellbeing across the life-span than the conventional “one size fits all” approach. However, the characteristics of individuals interested in personalised nutrition (PN) are unclear. Therefore, the aim of this study was to describe the characteristics of European adults interested in taking part in an internet-based PN study.\ud \ud Methods\ud Individuals from seven European countries (UK, Ireland, Germany, the Netherlands, Spain, Greece and Poland) were invited to participate in the study via the Food4Me website (http://www.food4me.org). Two screening questionnaires were used to collect data on socio-demographic, anthropometric and health characteristics as well as dietary intakes.\ud \ud Results \ud A total of 5662 individuals expressed an interest in the study (mean age 40 ± 12.7; range 15-87 years). Of these 64.6% were female and 96.9% were Caucasian. Overall, 12.9% were smokers and 46.8% reported the presence of a clinically diagnosed disease. Furthermore, 46.9% were overweight or obese and 34.9% were sedentary during leisure time. Assessment of dietary intakes showed that 54.3% of individuals reported consuming at least 5 portions of fruit and vegetables per day, 45.9% consumed more than 3 servings of wholegrains and 37.2% limited their salt intake to less than 5.75g per day. \ud \ud Conclusions\ud Our data indicate that individuals volunteering to participate in an internet-based PN study are broadly representative of the European adult population, most of whom had adequate nutrient intakes but who could benefit from improved dietary choices and greater physical activity. Future use of internet-based PN approaches is thus relevant to a wide target audience.
- Published
- 2016
6. Baseline characteristics of the Food4Me Proof of Principle Study: a web-based randomised controlled trial of personalised nutrition in seven European countries
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Celis-Morales, C, Livingstone, Katherine, Marsaux, C, Walsh, MC, Woolhead, C, Forster, H, O'Donovan, CB, Macready, AL, Fallaize, R, Navas-Carretero, S, San-Cristobal, R, Kolossa, S, Tsirigoti, L, Lambrinou, CP, Godlewska, M, Surwillo, A, Drevon, CA, Manios, Y, Traczyk, I, Gibney, ER, Brennan, L, Martinez, JA, Lovegrove, JA, Saris, W, Daniel, H, Gibney, M, Mathers, JC, Celis-Morales, C, Livingstone, Katherine, Marsaux, C, Walsh, MC, Woolhead, C, Forster, H, O'Donovan, CB, Macready, AL, Fallaize, R, Navas-Carretero, S, San-Cristobal, R, Kolossa, S, Tsirigoti, L, Lambrinou, CP, Godlewska, M, Surwillo, A, Drevon, CA, Manios, Y, Traczyk, I, Gibney, ER, Brennan, L, Martinez, JA, Lovegrove, JA, Saris, W, Daniel, H, Gibney, M, and Mathers, JC
- Published
- 2015
7. Validation of Web-based self-reported socio-demographic and anthropometric data collected in the Food4Me Study
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Celis-Morales, C, Forster, H, O'Donovan, C, Woolhead, C, Marsaux, C, Fallaize, R, Macready, AL, Kolossa, S, Navas-Carretero, S, San-Cristobal, R, Tsirigoti, L, Lambrinou, CP, Godlewska, M, Surwillo, A, Gibney, E, Brennan, L, Walsh, M, Drevon, C, Manios, Y, Traczyk, I, Martinez, JA, Lovegrove, JA, Saris, W, Daniel, H, Gibney, M, Mathers, JC, Livingstone, Katherine, Celis-Morales, C, Forster, H, O'Donovan, C, Woolhead, C, Marsaux, C, Fallaize, R, Macready, AL, Kolossa, S, Navas-Carretero, S, San-Cristobal, R, Tsirigoti, L, Lambrinou, CP, Godlewska, M, Surwillo, A, Gibney, E, Brennan, L, Walsh, M, Drevon, C, Manios, Y, Traczyk, I, Martinez, JA, Lovegrove, JA, Saris, W, Daniel, H, Gibney, M, Mathers, JC, and Livingstone, Katherine
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- 2014
8. Validation of Web-based self-reported socio-demographic and anthropometric data collected in the Food4Me Study
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Celis-Morales, C., primary, Forster, H., additional, O'Donovan, C., additional, Woolhead, C., additional, Marsaux, C., additional, Fallaize, R., additional, Macready, A. L., additional, Kolossa, S., additional, Navas-Carretero, S., additional, San-Cristobal, R., additional, Tsirigoti, L., additional, Lambrinou, C. P., additional, Godlewska, M., additional, Surwillo, A., additional, Gibney, E., additional, Brennan, L., additional, Walsh, M., additional, Drevon, C., additional, Manios, Y., additional, Traczyk, I., additional, Martinez, J. A., additional, Lovegrove, J. A., additional, Saris, W., additional, Daniel, H., additional, Gibney, M., additional, and Mathers, J. C., additional
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- 2014
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9. PD.9 Comparison between mALA- and ALA-PDT in the treatment of basal cell carcinomas
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Schleier, P., primary, Berndt, A., additional, Kolossa, S., additional, and Wood, M., additional
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- 2005
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10. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial
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Celis-Morales C, Katherine Livingstone, Cf, Marsaux, Al, Macready, Fallaize R, Donovan Cb, O., Woolhead C, Forster H, Mc, Walsh, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Cp, Lambrinou, Mavrogianni C, Moschonis G, Kolossa S, Hallmann J, Godlewska M, Surwiłło A, and Traczyk I
11. Baseline characteristics of the Food4Me Proof of Principle Study: a web-based randomised controlled trial of personalised nutrition in seven European countries.
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Celis-Morales, C., Livingstone, K. M., Marsaux, C., Walsh, M. C., Woolhead, C., Forster, H., O'Donovan, C. B., Macready, A. L., Fallaize, R., Navas-Carretero, S., San-Cristobal, R., Kolossa, S., Tsirigoti, L., Lambrinou, C. P., Godlewska, M., Surwillo, A., Drevon, C. A., Manios, Y., Traczyk, I., and Gibney, E. R.
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CONFERENCES & conventions ,CONSUMER attitudes ,INTERNET ,NUTRITION - Published
- 2015
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12. [Involucrando a los padres en la alimentación de los lactantes prematuros].
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Kolossa S, Mader S, Pfeil J, and Zimmermann LJI
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- 2022
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13. Involving Parents in Feeding Their Preterm Infants.
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Kolossa S, Mader S, Pfeil J, and Zimmermann LJI
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- Enteral Nutrition, Humans, Infant, Infant, Newborn, Infant, Premature, Parents
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- 2021
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14. Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study - CORRIGENDUM.
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Livingstone KM, Celis-Morales C, Lara J, Woolhead C, O'Donovan CB, Forster H, Marsaux CF, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, and Mathers JC
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- 2019
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15. Associations of vitamin D status with dietary intakes and physical activity levels among adults from seven European countries: the Food4Me study.
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Manios Y, Moschonis G, Lambrinou CP, Mavrogianni C, Tsirigoti L, Hoeller U, Roos FF, Bendik I, Eggersdorfer M, Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O'Donovan CB, Woolhead C, Forster H, Walsh MC, Navas-Carretero S, San-Cristobal R, Kolossa S, Hallmann J, Jarosz M, Surwiłło A, Traczyk I, Drevon CA, van Ommen B, Grimaldi K, Matthews JNS, Daniel H, Martinez JA, Lovegrove JA, Gibney ER, Brennan L, Saris WHM, Gibney M, and Mathers JC
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- Adolescent, Adult, Age Factors, Europe, Female, Germany epidemiology, Greece epidemiology, Humans, Ireland epidemiology, Male, Middle Aged, Netherlands epidemiology, Poland epidemiology, Sex Factors, Spain epidemiology, United Kingdom epidemiology, Vitamin D Deficiency blood, Vitamin D Deficiency diagnosis, Young Adult, Exercise physiology, Vitamin D administration & dosage, Vitamin D blood, Vitamin D Deficiency epidemiology
- Abstract
Purpose: To report the vitamin D status in adults from seven European countries and to identify behavioural correlates., Methods: In total, 1075 eligible adult men and women from Ireland, Netherlands, Spain, Greece, UK, Poland and Germany, were included in the study., Results: Vitamin D deficiency and insufficiency, defined as 25-hydroxy vitamin D
3 (25-OHD3 ) concentration of <30 and 30-49.9 nmol/L, respectively, were observed in 3.3 and 30.6% of the participants. The highest prevalence of vitamin D deficiency was found in the UK and the lowest in the Netherlands (8.2 vs. 1.1%, P < 0.05). In addition, the prevalence of vitamin D insufficiency was higher in females compared with males (36.6 vs. 22.6%, P < 0.001), in winter compared with summer months (39.3 vs. 25.0%, P < 0.05) and in younger compared with older participants (36.0 vs. 24.4%, P < 0.05). Positive dose-response associations were also observed between 25-OHD3 concentrations and dietary vitamin D intake from foods and supplements, as well as with physical activity (PA) levels. Vitamin D intakes of ≥5 μg/day from foods and ≥5 μg/day from supplements, as well as engagement in ≥30 min/day of moderate- and vigorous-intensity PA were associated with higher odds (P < 0.05) for maintaining sufficient (≥50 nmol/L) 25-OHD3 concentrations., Conclusions: The prevalence of vitamin D deficiency varied considerably among European adults. Dietary intakes of ≥10 μg/day of vitamin D from foods and/or supplements and at least 30 min/day of moderate- and vigorous-intensity PA were the minimum thresholds associated with vitamin D sufficiency.- Published
- 2018
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16. Correlates of overall and central obesity in adults from seven European countries: findings from the Food4Me Study.
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Celis-Morales C, Livingstone KM, Affleck A, Navas-Carretero S, San-Cristobal R, Martinez JA, Marsaux CFM, Saris WHM, O'Donovan CB, Forster H, Woolhead C, Gibney ER, Walsh MC, Brennan L, Gibney M, Moschonis G, Lambrinou CP, Mavrogianni C, Manios Y, Macready AL, Fallaize R, Lovegrove JA, Kolossa S, Daniel H, Traczyk I, Drevon CA, and Mathers JC
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- Accelerometry, Adolescent, Adult, Aged, Body Mass Index, Diet, Mediterranean, Dietary Fats administration & dosage, Dietary Proteins administration & dosage, Energy Intake, Europe epidemiology, Female, Humans, Male, Middle Aged, Olive Oil, Randomized Controlled Trials as Topic, Sedentary Behavior, Surveys and Questionnaires, Diet, Exercise, Obesity epidemiology, Obesity, Abdominal epidemiology
- Abstract
Background/objectives: To identify predictors of obesity in adults and investigate to what extent these predictors are independent of other major confounding factors., Subjects/methods: Data collected at baseline from 1441 participants from the Food4Me study conducted in seven European countries were included in this study. A food frequency questionnaire was used to measure dietary intake. Accelerometers were used to assess physical activity levels (PA), whereas participants self-reported their body weight, height and waist circumference via the internet., Results: The main factors associated (p < 0.05) with higher BMI per 1-SD increase in the exposure were age (β:1.11 kg/m
2 ), intakes of processed meat (β:1.04 kg/m2 ), red meat (β:1.02 kg/m2 ), saturated fat (β:0.84 kg/m2 ), monounsaturated fat (β:0.80 kg/m2 ), protein (β:0.74 kg/m2 ), total energy intake (β:0.50 kg/m2 ), olive oil (β:0.36 kg/m2 ), sugar sweetened carbonated drinks (β:0.33 kg/m2 ) and sedentary time (β:0.73 kg/m2 ). In contrast, the main factors associated with lower BMI per 1-SD increase in the exposure were PA (β:-1.36 kg/m2 ), intakes of wholegrains (β:-1.05 kg/m2 ), fibre (β:-1.02 kg/m2 ), fruits and vegetables (β:-0.52 kg/m2 ), nuts (β:-0.52 kg/m2 ), polyunsaturated fat (β:-0.50 kg/m2 ), Healthy Eating Index (β:-0.42 kg/m2 ), Mediterranean diet score (β:-0.40 kg/m2 ), oily fish (β:-0.31 kg/m2 ), dairy (β:-0.31 kg/m2 ) and fruit juice (β:-0.25 kg/m2 )., Conclusions: These findings are important for public health and suggest that promotion of increased PA, reducing sedentary behaviours and improving the overall quality of dietary patterns are important strategies for addressing the existing obesity epidemic and associated disease burden.- Published
- 2018
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17. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study.
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Fallaize R, Livingstone KM, Celis-Morales C, Macready AL, San-Cristobal R, Navas-Carretero S, Marsaux CFM, O'Donovan CB, Kolossa S, Moschonis G, Walsh MC, Gibney ER, Brennan L, Bouwman J, Manios Y, Jarosz M, Martinez JA, Daniel H, Saris WHM, Gundersen TE, Drevon CA, Gibney MJ, Mathers JC, and Lovegrove JA
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- Adolescent, Adult, Aged, Anthropometry, Biomarkers blood, Europe, Female, Health Behavior, Health Knowledge, Attitudes, Practice, Health Status Disparities, Humans, Male, Middle Aged, Nutrition Assessment, Surveys and Questionnaires, Young Adult, Adiposity, Cholesterol blood, Diet, Healthy, Feeding Behavior, Nutritional Status, Nutritive Value
- Abstract
Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI) and markers of metabolic health (anthropometry, objective physical activity levels (PAL), and dried blood spot total cholesterol (TC), total carotenoids, and omega-3 index) in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants ( n = 1480) were adults recruited from seven European Union (EU) countries. Overall, women had higher HEI and AHEI than men ( p < 0.05), and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index ( p trends < 0.05). Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour ( p trend < 0.05). We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health., Competing Interests: T.E.G. is founder, stockowner and C.E.O. of Vitas; C.A.D. is founder, board member, stockowner, and consultant for Vitas Ltd. None of the other authors reports a conflict of interest.
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- 2018
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18. Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice.
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Grimaldi KA, van Ommen B, Ordovas JM, Parnell LD, Mathers JC, Bendik I, Brennan L, Celis-Morales C, Cirillo E, Daniel H, de Kok B, El-Sohemy A, Fairweather-Tait SJ, Fallaize R, Fenech M, Ferguson LR, Gibney ER, Gibney M, Gjelstad IMF, Kaput J, Karlsen AS, Kolossa S, Lovegrove J, Macready AL, Marsaux CFM, Alfredo Martinez J, Milagro F, Navas-Carretero S, Roche HM, Saris WHM, Traczyk I, van Kranen H, Verschuren L, Virgili F, Weber P, and Bouwman J
- Abstract
Nutrigenetic research examines the effects of inter-individual differences in genotype on responses to nutrients and other food components, in the context of health and of nutrient requirements. A practical application of nutrigenetics is the use of personal genetic information to guide recommendations for dietary choices that are more efficacious at the individual or genetic subgroup level relative to generic dietary advice. Nutrigenetics is unregulated, with no defined standards, beyond some commercially adopted codes of practice. Only a few official nutrition-related professional bodies have embraced the subject, and, consequently, there is a lack of educational resources or guidance for implementation of the outcomes of nutrigenetic research. To avoid misuse and to protect the public, personalised nutrigenetic advice and information should be based on clear evidence of validity grounded in a careful and defensible interpretation of outcomes from nutrigenetic research studies. Evidence requirements are clearly stated and assessed within the context of state-of-the-art 'evidence-based nutrition'. We have developed and present here a draft framework that can be used to assess the strength of the evidence for scientific validity of nutrigenetic knowledge and whether 'actionable'. In addition, we propose that this framework be used as the basis for developing transparent and scientifically sound advice to the public based on nutrigenetic tests. We feel that although this area is still in its infancy, minimal guidelines are required. Though these guidelines are based on semi-quantitative data, they should stimulate debate on their utility. This framework will be revised biennially, as knowledge on the subject increases., Competing Interests: Not applicable.Not applicable.KAG was employed by Sciona, Inc. (a provider of genetic testing services) from 2002 to 2008 and is founder/director of the personal genetics services company Eurogenetica Ltd and is Chief Scientific Officer for DNAFit. BVO, EC, BDK, LV and JB are employees of TNO, an organisation that implements system-based personalised nutrition including genetic variations. IB and PW are employees of DSM Nutritional Products Ltd., a leading manufacturer of vitamins and carotenoids. Both declare to have no competing interests. AE-S holds shares in Nutrigenomix Inc. JK is working for Habit. All other authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
- Published
- 2017
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19. Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study.
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O'Donovan CB, Walsh MC, Woolhead C, Forster H, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, Rodrigo San-Cristobal S, Kolossa S, Tsirigoti L, Mvrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, and Brennan L
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- Adult, Body Mass Index, Carotenoids blood, Cholesterol blood, Cluster Analysis, Fatty Acids, Omega-3 administration & dosage, Fatty Acids, Omega-3 blood, Female, Health Education, Humans, Linear Models, Male, Middle Aged, Nutrition Policy, Nutritional Status, Young Adult, Diet, Healthy, Metabolome, Precision Medicine, White People
- Abstract
Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (n 1607), k-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (sd 1·29) %), carotenoids (2·15 (sd 0·71) µm) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (n 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.
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- 2017
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20. Within-person reproducibility and sensitivity to dietary change of C15:0 and C17:0 levels in dried blood spots: Data from the European Food4Me Study.
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Albani V, Celis-Morales C, O'Donovan CB, Walsh MC, Woolhead C, Forster H, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Gundersen TE, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Gibney MJ, Gibney ER, Mathers JC, Adamson AJ, and Brennan L
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- Adult, Biomarkers blood, Body Mass Index, Dairy Products, Female, Humans, Male, Middle Aged, Nutrition Assessment, Reproducibility of Results, Surveys and Questionnaires, Waist Circumference, White People, Diet, Fatty Acids administration & dosage, Fatty Acids blood
- Abstract
Scope: Previous work highlighted the potential of odd-chain length saturated fatty acids as potential markers of dairy intake. The aim of this study was to assess the reproducibility of these biomarkers and their sensitivity to changes in dairy intake., Methods and Results: Fatty acid profiles and dietary intakes from food frequency questionnaires (FFQs) were measured three times over six months in the Food4Me Study. Reproducibility was explored through intra-class correlation coefficients (ICCs) and within-subject coefficients of variation (WCV). Sensitivity to changes in diet was examined using regression analysis. C15:0 blood levels showed high correlation over time (ICC: 0.62, 95% CI: 0.57, 0.68), however, the ICC for C17:0 was much lower (ICC: 0.32, 95% CI: 0.28, 0.46). The WCV for C15:0 was 16.6% and that for C17:0 was 14.6%. There were significant associations between changes in intakes of total dairy, high-fat dairy, cheese and butter and C15:0; and change in intakes of high-fat dairy and cream and C17:0., Conclusion: Results provide evidence of reproducibility of C15:0 levels over time and sensitivity to change in intake of high-fat dairy products with results comparable to the well-established biomarker of fish intake (EPA+DHA)., (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
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- 2017
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21. Can genetic-based advice help you lose weight? Findings from the Food4Me European randomized controlled trial.
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Celis-Morales C, Marsaux CF, Livingstone KM, Navas-Carretero S, San-Cristobal R, Fallaize R, Macready AL, O'Donovan C, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Mavrogianni C, Manios Y, Surwillo A, Traczyk I, Drevon CA, Grimaldi K, Bouwman J, Gibney MJ, Walsh MC, Gibney ER, Brennan L, Lovegrove JA, Martinez JA, Saris WH, and Mathers JC
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- Adipose Tissue, Adiposity genetics, Adolescent, Adult, Alleles, Body Weight genetics, Europe, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Obesity etiology, Obesity therapy, Polymorphism, Single Nucleotide, Risk Factors, Waist Circumference, Young Adult, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Disclosure, Genetic Counseling, Genotype, Health Knowledge, Attitudes, Practice, Obesity genetics, Weight Loss
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Background: There has been limited evidence about whether genotype-tailored advice provides extra benefits in reducing obesity-related traits compared with the benefits of conventional one-size-fits-all advice. Objective: We determined whether the disclosure of information on fat-mass and obesity-associated ( FTO ) genotype risk had a greater effect on a reduction of obesity-related traits in risk carriers than in nonrisk carriers across different levels of personalized nutrition. Design: A total of 683 participants (women: 51%; age range: 18-73 y) from the Food4Me randomized controlled trial were included in this analysis. Participants were randomly assigned to 4 intervention arms as follows: level 0, control group; level 1, dietary group; level 2, phenotype group; and level 3, genetic group. FTO (single nucleotide polymorphism rs9939609) was genotyped at baseline in all participants, but only subjects who were randomly assigned to level 3 were informed about their genotypes. Level 3 participants were stratified into risk carriers (AA/AT) and nonrisk carriers (TT) of the FTO gene for analyses. Height, weight, and waist circumference (WC) were self-measured and reported at baseline and months 3 and 6. Results: Changes in adiposity markers were greater in participants who were informed that they carried the FTO risk allele (level 3 AT/AA carriers) than in the nonpersonalized group (level 0) but not in the other personalized groups (level 1 and 2). Mean reductions in weight and WC at month 6 were greater for FTO risk carriers than for noncarriers in the level 3 group [-2.28 kg (95% CI: -3.06, -1.48 kg) compared with -1.99 kg (-2.19, -0.19 kg), respectively ( P = 0.037); and -4.34 cm (-5.63, -3.08 cm) compared with -1.99 cm (-4.04, -0.05 cm), respectively, ( P = 0.048)]. Conclusions: There are greater body weight and WC reductions in risk carriers than in nonrisk carriers of the FTO gene. This trial was registered at clinicaltrials.gov as NCT01530139., (© 2017 American Society for Nutrition.)
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- 2017
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22. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial.
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Celis-Morales C, Livingstone KM, Marsaux CF, Macready AL, Fallaize R, O'Donovan CB, Woolhead C, Forster H, Walsh MC, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Lambrinou CP, Mavrogianni C, Moschonis G, Kolossa S, Hallmann J, Godlewska M, Surwillo A, Traczyk I, Drevon CA, Bouwman J, van Ommen B, Grimaldi K, Parnell LD, Matthews JN, Manios Y, Daniel H, Martinez JA, Lovegrove JA, Gibney ER, Brennan L, Saris WH, Gibney M, and Mathers JC
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- Adolescent, Adult, Aged, Body Mass Index, Europe epidemiology, Exercise, Female, Genetic Variation, Genotype, Humans, Internet, Male, Middle Aged, Nutritional Requirements, Phenotype, Young Adult, Diet, Health Behavior, Health Education, Life Style, Precision Medicine
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Background: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour., Methods: : Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention., Results: At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m 2 . From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P = 0.046], salt [-0.65 g, (-1.1,-0.25), P = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), P < 0.0001], increased folate [29.6 µg, (0.21,59.0), P = 0.048] intake and had higher Healthy Eating Index scores [1.27, (0.30, 2.25), P = 0.010) than those randomized to the control arm. There was no evidence that including phenotypic and phenotypic plus genotypic information enhanced the effectiveness of the PN advice., Conclusions: Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach., (© The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association)
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- 2017
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23. Characteristics of European adults who dropped out from the Food4Me Internet-based personalised nutrition intervention.
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Livingstone KM, Celis-Morales C, Macready AL, Fallaize R, Forster H, Woolhead C, O'Donovan CB, Marsaux CF, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, and Mathers JC
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- Adolescent, Adult, Age Factors, Aged, Anthropometry, Europe, Exercise, Feedback, Female, Health Behavior, Humans, Life Style, Male, Middle Aged, Motivation, Nutrition Policy, Obesity, Socioeconomic Factors, Surveys and Questionnaires, Young Adult, Diet, Healthy, Health Promotion methods, Internet, Patient Dropouts psychology
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Objective: To characterise participants who dropped out of the Food4Me Proof-of-Principle study., Design: The Food4Me study was an Internet-based, 6-month, four-arm, randomised controlled trial. The control group received generalised dietary and lifestyle recommendations, whereas participants randomised to three different levels of personalised nutrition (PN) received advice based on dietary, phenotypic and/or genotypic data, respectively (with either more or less frequent feedback)., Setting: Seven recruitment sites: UK, Ireland, The Netherlands, Germany, Spain, Poland and Greece., Subjects: Adults aged 18-79 years (n 1607)., Results: A total of 337 (21 %) participants dropped out during the intervention. At baseline, dropouts had higher BMI (0·5 kg/m2; P<0·001). Attrition did not differ significantly between individuals receiving generalised dietary guidelines (Control) and those randomised to PN. Participants were more likely to drop out (OR; 95 % CI) if they received more frequent feedback (1·81; 1·36, 2·41; P<0·001), were female (1·38; 1·06, 1·78; P=0·015), less than 45 years old (2·57; 1·95, 3·39; P<0·001) and obese (2·25; 1·47, 3·43; P<0·001). Attrition was more likely in participants who reported an interest in losing weight (1·53; 1·19, 1·97; P<0·001) or skipping meals (1·75; 1·16, 2·65; P=0·008), and less likely if participants claimed to eat healthily frequently (0·62; 0·45, 0·86; P=0·003)., Conclusions: Attrition did not differ between participants receiving generalised or PN advice but more frequent feedback was related to attrition for those randomised to PN interventions. Better strategies are required to minimise dropouts among younger and obese individuals participating in PN interventions and more frequent feedback may be an unnecessary burden.
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- 2017
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24. Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4Me study.
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Kirwan L, Walsh MC, Celis-Morales C, Marsaux CF, Livingstone KM, Navas-Carretero S, Fallaize R, O'Donovan CB, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Manios Y, Surwillo A, Godlewska M, Traczyk I, Drevon CA, Gibney MJ, Lovegrove JA, Martinez JA, Saris WH, Mathers JC, Gibney ER, and Brennan L
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- Adult, Alcohol Drinking adverse effects, Alcohol Drinking blood, Alcohol Drinking genetics, Cardiovascular Diseases blood, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cardiovascular Diseases prevention & control, Cholesterol blood, Europe epidemiology, Exercise, Fatty Acids blood, Humans, Internet, Male, Middle Aged, ROC Curve, Risk Factors, Diet, Healthy, Genotype, Healthy Lifestyle, Patient Compliance, Patient Education as Topic, Phenotype, Precision Medicine
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Individual response to dietary interventions can be highly variable. The phenotypic characteristics of those who will respond positively to personalised dietary advice are largely unknown. The objective of this study was to compare the phenotypic profiles of differential responders to personalised dietary intervention, with a focus on total circulating cholesterol. Subjects from the Food4Me multi-centre study were classified as responders or non-responders to dietary advice on the basis of the change in cholesterol level from baseline to month 6, with lower and upper quartiles defined as responder and non-responder groups, respectively. There were no significant differences between demographic and anthropometric profiles of the groups. Furthermore, with the exception of alcohol, there was no significant difference in reported dietary intake, at baseline. However, there were marked differences in baseline fatty acid profiles. The responder group had significantly higher levels of stearic acid (18 : 0, P=0·034) and lower levels of palmitic acid (16 : 0, P=0·009). Total MUFA (P=0·016) and total PUFA (P=0·008) also differed between the groups. In a step-wise logistic regression model, age, baseline total cholesterol, glucose, five fatty acids and alcohol intakes were selected as factors that successfully discriminated responders from non-responders, with sensitivity of 82 % and specificity of 83 %. The successful delivery of personalised dietary advice may depend on our ability to identify phenotypes that are responsive. The results demonstrate the potential use of metabolic profiles in identifying response to an intervention and could play an important role in the development of precision nutrition.
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- 2016
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25. Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study.
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Livingstone KM, Celis-Morales C, Lara J, Woolhead C, O'Donovan CB, Forster H, Marsaux CF, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, and Mathers JC
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- Adolescent, Adult, Aged, Body Mass Index, Cluster Analysis, Dairy Products, Energy Intake, Fast Foods, Fatty Acids, Female, Humans, Male, Middle Aged, Red Meat, Seafood, Smoking, Waist Circumference, Young Adult, Diet, Healthy, Patient Compliance
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Objective: To characterise clusters of individuals based on adherence to dietary recommendations and to determine whether changes in Healthy Eating Index (HEI) scores in response to a personalised nutrition (PN) intervention varied between clusters., Design: Food4Me study participants were clustered according to whether their baseline dietary intakes met European dietary recommendations. Changes in HEI scores between baseline and month 6 were compared between clusters and stratified by whether individuals received generalised or PN advice., Setting: Pan-European, Internet-based, 6-month randomised controlled trial., Subjects: Adults aged 18-79 years (n 1480)., Results: Individuals in cluster 1 (C1) met all recommended intakes except for red meat, those in cluster 2 (C2) met two recommendations, and those in cluster 3 (C3) and cluster 4 (C4) met one recommendation each. C1 had higher intakes of white fish, beans and lentils and low-fat dairy products and lower percentage energy intake from SFA (P<0·05). C2 consumed less chips and pizza and fried foods than C3 and C4 (P<0·05). C1 were lighter, had lower BMI and waist circumference than C3 and were more physically active than C4 (P<0·05). More individuals in C4 were smokers and wanted to lose weight than in C1 (P<0·05). Individuals who received PN advice in C4 reported greater improvements in HEI compared with C3 and C1 (P<0·05)., Conclusions: The cluster where the fewest recommendations were met (C4) reported greater improvements in HEI following a 6-month trial of PN whereas there was no difference between clusters for those randomised to the Control, non-personalised dietary intervention.
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- 2016
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26. The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study.
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O'Donovan CB, Walsh MC, Forster H, Woolhead C, Celis-Morales C, Fallaize R, Macready AL, Marsaux CF, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Bouwman J, Grimaldi K, Traczyk I, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WH, Lovegrove JA, Mathers JC, Gibney MJ, Brennan L, and Gibney ER
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Background: It is hypothesised that individuals with knowledge of their genetic risk are more likely to make health-promoting dietary and lifestyle changes. The present study aims to test this hypothesis using data from the Food4Me study. This was a 6-month Internet-based randomised controlled trial conducted across seven centres in Europe where individuals received either general healthy eating advice or varying levels of personalised nutrition advice. Participants who received genotype-based personalised advice were informed whether they had the risk (CT/TT) ( n = 178) or non-risk (CC) ( n = 141) alleles of the methylenetetrahydrofolate reductase ( MTHFR ) gene in relation to cardiovascular health and the importance of a sufficient intake of folate. General linear model analysis was used to assess changes in folate intake between the MTHFR risk, MTHFR non-risk and control groups from baseline to month 6 of the intervention., Results: There were no differences between the groups for age, gender or BMI. However, there was a significant difference in country distribution between the groups ( p = 0.010). Baseline folate intakes were 412 ± 172, 391 ± 190 and 410 ± 186 μg per 10 MJ for the risk, non-risk and control groups, respectively. There were no significant differences between the three groups in terms of changes in folate intakes from baseline to month 6. Similarly, there were no changes in reported intake of food groups high in folate., Conclusions: These results suggest that knowledge of MTHFR 677C → T genotype did not improve folate intake in participants with the risk variant compared with those with the non-risk variant., Trial Registration: ClinicalTrials.gov NCT01530139.
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- 2016
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27. The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial.
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Fallaize R, Celis-Morales C, Macready AL, Marsaux CF, Forster H, O'Donovan C, Woolhead C, San-Cristobal R, Kolossa S, Hallmann J, Mavrogianni C, Surwillo A, Livingstone KM, Moschonis G, Navas-Carretero S, Walsh MC, Gibney ER, Brennan L, Bouwman J, Grimaldi K, Manios Y, Traczyk I, Drevon CA, Martinez JA, Daniel H, Saris WH, Gibney MJ, Mathers JC, and Lovegrove JA
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- Adult, Alleles, Apolipoprotein E4 metabolism, Cardiovascular Diseases blood, Cardiovascular Diseases etiology, Cardiovascular Diseases genetics, Cardiovascular Diseases prevention & control, Cholesterol blood, Cohort Studies, Electronic Mail, Europe, Fatty Acids, Omega-3 blood, Female, Genetic Predisposition to Disease, Humans, Hypercholesterolemia blood, Hypercholesterolemia physiopathology, Hypercholesterolemia prevention & control, Internet, Male, Nutrigenomics methods, Patient Dropouts, Postal Service, Apolipoprotein E4 genetics, Diet, Fat-Restricted, Hypercholesterolemia genetics, Patient Compliance, Patient Education as Topic, Polymorphism, Single Nucleotide, Precision Medicine
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Background: The apolipoprotein E (APOE) risk allele (ɛ4) is associated with higher total cholesterol (TC), amplified response to saturated fatty acid (SFA) reduction, and increased cardiovascular disease. Although knowledge of gene risk may enhance dietary change, it is unclear whether ɛ4 carriers would benefit from gene-based personalized nutrition (PN)., Objectives: The aims of this study were to 1) investigate interactions between APOE genotype and habitual dietary fat intake and modulations of fat intake on metabolic outcomes; 2) determine whether gene-based PN results in greater dietary change than do standard dietary advice (level 0) and nongene-based PN (levels 1-2); and 3) assess the impact of knowledge of APOE risk (risk: E4+, nonrisk: E4-) on dietary change after gene-based PN (level 3)., Design: Individuals (n = 1466) recruited into the Food4Me pan-European PN dietary intervention study were randomly assigned to 4 treatment arms and genotyped for APOE (rs429358 and rs7412). Diet and dried blood spot TC and ω-3 (n-3) index were determined at baseline and after a 6-mo intervention. Data were analyzed with the use of adjusted general linear models., Results: Significantly higher TC concentrations were observed in E4+ participants than in E4- (P < 0.05). Although there were no significant differences in APOE response to gene-based PN (E4+ compared with E4-), both groups had a greater reduction in SFA (percentage of total energy) intake than at level 0 (mean ± SD: E4+, -0.72% ± 0.35% compared with -1.95% ± 0.45%, P = 0.035; E4-, -0.31% ± 0.20% compared with -1.68% ± 0.35%, P = 0.029). Gene-based PN was associated with a smaller reduction in SFA intake than in nongene-based PN (level 2) for E4- participants (-1.68% ± 0.35% compared with -2.56% ± 0.27%, P = 0.025)., Conclusions: The APOE ɛ4 allele was associated with higher TC. Although gene-based PN targeted to APOE was more effective in reducing SFA intake than standard dietary advice, there was no difference between APOE "risk" and "nonrisk" groups. Furthermore, disclosure of APOE nonrisk may have weakened dietary response to PN. This trial was registered at clinicaltrials.gov as NCT01530139., (© 2016 American Society for Nutrition.)
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- 2016
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28. Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study.
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Macready AL, Fallaize R, Forster H, Woolhead C, O'Donovan CB, Marsaux CF, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Saris WH, Daniel H, Gibney M, Martinez JA, and Mathers JC
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- Adult, Counseling, Diet Surveys, Exercise, Female, Genetic Predisposition to Disease, Humans, Internet, Life Style, Male, Middle Aged, Obesity genetics, Obesity prevention & control, Patient Education as Topic, Phenotype, Body Mass Index, Diet, Mediterranean, Feeding Behavior, Genotype, Health Promotion methods, Obesity diet therapy, Precision Medicine
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Background: Little is known about the efficacy of personalized nutrition (PN) interventions for improving consumption of a Mediterranean diet (MedDiet)., Objective: The objective was to evaluate the effect of a PN intervention on dietary changes associated with the MedDiet., Design: Participants (n = 1607) were recruited into a 6-mo, Internet-based, PN randomized controlled trial (Food4Me) designed to evaluate the effect of PN on dietary change. Participants were randomly assigned to receive conventional dietary advice [control; level 0 (L0)] or PN advice on the basis of current diet [level 1 (L1)], diet and phenotype [level 2 (L2)], or diet, phenotype, and genotype [level 3 (L3)]. Dietary intakes from food-frequency questionnaires at baseline and at 6 mo were converted to a MedDiet score. Linear regression compared participant characteristics between high (>5) and low (≤5) MedDiet scores. Differences in MedDiet scores between treatment arms at month 6 were evaluated by using contrast analyses., Results: At baseline, high MedDiet scorers had a 0.5 lower body mass index (in kg/m(2); P = 0.007) and a 0.03 higher physical activity level (P = 0.003) than did low scorers. MedDiet scores at month 6 were greater in individuals randomly assigned to receive PN (L1, L2, and L3) than in controls (PN compared with controls: 5.20 ± 0.05 and 5.48 ± 0.07, respectively; P = 0.002). There was no significant difference in MedDiet scores at month 6 between PN advice on the basis of L1 compared with L2 and L3. However, differences in MedDiet scores at month 6 were greater in L3 than in L2 (L3 compared with L2: 5.63 ± 0.10 and 5.38 ± 0.10, respectively; P = 0.029)., Conclusions: Higher MedDiet scores at baseline were associated with healthier lifestyles and lower adiposity. After the intervention, MedDiet scores were greater in individuals randomly assigned to receive PN than in controls, with the addition of DNA-based dietary advice resulting in the largest differences in MedDiet scores. Although differences were significant, their clinical relevance is modest. This trial was registered at clinicaltrials.gov as NCT01530139., (© 2016 American Society for Nutrition.)
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- 2016
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29. A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.
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Forster H, Walsh MC, O'Donovan CB, Woolhead C, McGirr C, Daly EJ, O'Riordan R, Celis-Morales C, Fallaize R, Macready AL, Marsaux CF, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou CP, Godlewska M, Surwiłło A, Gjelstad IM, Drevon CA, Manios Y, Traczyk I, Martinez JA, Saris WH, Daniel H, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, and Brennan L
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- Adult, Algorithms, Automation, Decision Trees, Dietary Fats, Dietary Fiber, Female, Fruit, Health Education, Health Promotion methods, Humans, Male, Middle Aged, Nutritional Status, Sodium Chloride, Dietary, Surveys and Questionnaires, Vegetables, Diet, Feedback, Internet, Nutrition Assessment
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Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice., Objective: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system., Methods: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3) constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study., Results: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers. Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%, respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers., Conclusions: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems for personalizing dietary advice., Trial Registration: Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I).
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- 2016
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30. Erratum to: Profile of European adults interested in internet-based personalised nutrition: the Food4Me study.
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O'Donovan CB, Forster H, Woolhead C, Marsaux CF, Macready AL, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WH, Daniel H, Gibney M, and Mathers JC
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- 2016
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31. Reproducibility of the Online Food4Me Food-Frequency Questionnaire for Estimating Dietary Intakes across Europe.
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Marshall SJ, Livingstone KM, Celis-Morales C, Forster H, Fallaize R, O'Donovan CB, Woolhead C, Marsaux CF, Macready AL, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Martínez JA, Saris WH, Daniel H, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Gibney M, and Mathers JC
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- Adult, Energy Intake, Europe, Female, Humans, Male, Middle Aged, Reproducibility of Results, Diet, Diet Surveys standards, Feeding Behavior
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Background: Accurate dietary assessment is key to understanding nutrition-related outcomes and is essential for estimating dietary change in nutrition-based interventions., Objective: The objective of this study was to assess the pan-European reproducibility of the Food4Me food-frequency questionnaire (FFQ) in assessing the habitual diet of adults., Methods: Participants from the Food4Me study, a 6-mo, Internet-based, randomized controlled trial of personalized nutrition conducted in the United Kingdom, Ireland, Spain, Netherlands, Germany, Greece, and Poland, were included. Screening and baseline data (both collected before commencement of the intervention) were used in the present analyses, and participants were included only if they completed FFQs at screening and at baseline within a 1-mo timeframe before the commencement of the intervention. Sociodemographic (e.g., sex and country) and lifestyle [e.g., body mass index (BMI, in kg/m(2)) and physical activity] characteristics were collected. Linear regression, correlation coefficients, concordance (percentage) in quartile classification, and Bland-Altman plots for daily intakes were used to assess reproducibility., Results: In total, 567 participants (59% female), with a mean ± SD age of 38.7 ± 13.4 y and BMI of 25.4 ± 4.8, completed both FFQs within 1 mo (mean ± SD: 19.2 ± 6.2 d). Exact plus adjacent classification of total energy intake in participants was highest in Ireland (94%) and lowest in Poland (81%). Spearman correlation coefficients (ρ) in total energy intake between FFQs ranged from 0.50 for obese participants to 0.68 and 0.60 in normal-weight and overweight participants, respectively. Bland-Altman plots showed a mean difference between FFQs of 210 kcal/d, with the agreement deteriorating as energy intakes increased. There was little variation in reproducibility of total energy intakes between sex and age groups., Conclusions: The online Food4Me FFQ was shown to be reproducible across 7 European countries when administered within a 1-mo period to a large number of participants. The results support the utility of the online Food4Me FFQ as a reproducible tool across multiple European populations. This trial was registered at clinicaltrials.gov as NCT01530139., (© 2016 American Society for Nutrition.)
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- 2016
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32. Physical activity attenuates the effect of the FTO genotype on obesity traits in European adults: The Food4Me study.
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Celis-Morales C, Marsaux CF, Livingstone KM, Navas-Carretero S, San-Cristobal R, O'donovan CB, Forster H, Woolhead C, Fallaize R, Macready AL, Kolossa S, Hallmann J, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Manios Y, Traczyk I, Drevon CA, Parnell LD, Daniel H, Gibney ER, Brennan L, Walsh MC, Gibney M, Lovegrove JA, Martinez JA, Saris WH, and Mathers JC
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- Adult, Alleles, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Body Mass Index, Body Weight genetics, Female, Humans, Male, Middle Aged, Self Report, Waist Circumference genetics, White People genetics, Alpha-Ketoglutarate-Dependent Dioxygenase FTO metabolism, Genotype, Motor Activity physiology, Obesity genetics
- Abstract
Objective: To examine whether the effect of FTO loci on obesity-related traits could be modified by physical activity (PA) levels in European adults., Methods: Of 1,607 Food4Me participants randomized, 1,280 were genotyped for FTO (rs9939609) and had available PA data. PA was measured objectively using accelerometers (TracmorD, Philips), whereas anthropometric measures [BMI and waist circumference (WC)] were self-reported via the Internet., Results: FTO genotype was associated with a higher body weight [β: 1.09 kg per risk allele, (95% CI: 0.14-2.04), P = 0.024], BMI [β: 0.54 kg m(-2) , (0.23-0.83), P < 0.0001], and WC [β: 1.07 cm, (0.24-1.90), P = 0.011]. Moderate-equivalent PA attenuated the effect of FTO on BMI (P[interaction] = 0.020). Among inactive individuals, FTO increased BMI by 1.06 kg m(-2) per allele (P = 0.024), whereas the increase in BMI was substantially attenuated among active individuals (0.16 kg m(-2) , P = 0.388). We observed similar effects for WC (P[interaction] = 0.005): the FTO risk allele increased WC by 2.72 cm per allele among inactive individuals but by only 0.49 cm in active individuals., Conclusions: PA attenuates the effect of FTO genotype on BMI and WC. This may have important public health implications because genetic susceptibility to obesity in the presence of FTO variants may be reduced by adopting a physically active lifestyle., (© 2016 The Obesity Society.)
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- 2016
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33. Exploring the association of dairy product intake with the fatty acids C15:0 and C17:0 measured from dried blood spots in a multipopulation cohort: Findings from the Food4Me study.
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Albani V, Celis-Morales C, Marsaux CF, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Gundersen TE, Kaland SE, Manios Y, Traczyk I, Drevon CA, Gibney ER, Walsh MC, Martinez JA, Saris WH, Daniel H, Lovegrove JA, Gibney MJ, Adamson AJ, Mathers JC, and Brennan L
- Subjects
- Adolescent, Adult, Aged, Diet, High-Fat, Dried Blood Spot Testing, Eating, Female, Humans, Male, Middle Aged, Young Adult, Biomarkers blood, Dairy Products, Fatty Acids blood
- Abstract
Scope: The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake., Methods and Results: The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products., Conclusion: C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
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- 2016
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34. Objectively Measured Physical Activity in European Adults: Cross-Sectional Findings from the Food4Me Study.
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Marsaux CF, Celis-Morales C, Hoonhout J, Claassen A, Goris A, Forster H, Fallaize R, Macready AL, Navas-Carretero S, Kolossa S, Walsh MC, Lambrinou CP, Manios Y, Godlewska M, Traczyk I, Lovegrove JA, Martinez JA, Daniel H, Gibney M, Mathers JC, and Saris WH
- Subjects
- Accelerometry, Adolescent, Adult, Aged, Cross-Sectional Studies, Europe, Female, Guideline Adherence, Health Planning Guidelines, Humans, Male, Middle Aged, Patient Compliance, Time Factors, Young Adult, Motor Activity physiology
- Abstract
Background: Comparisons of objectively measured physical activity (PA) between residents of European countries measured concurrently with the same protocol are lacking. We aimed to compare PA between the seven European countries involved in the Food4Me Study, using accelerometer data collected remotely via the Internet., Methods: Of the 1607 participants recruited, 1287 (539 men and 748 women) provided at least 3 weekdays and 2 weekend days of valid accelerometer data (TracmorD) at baseline and were included in the present analyses., Results: Men were significantly more active than women (physical activity level = 1.74 vs. 1.70, p < 0.001). Time spent in light PA and moderate PA differed significantly between countries but only for women. Adherence to the World Health Organization recommendation to accumulate at least 150 min of moderate-equivalent PA weekly was similar between countries for men (range: 54-65%) but differed significantly between countries for women (range: 26-49%). Prevalence estimates decreased substantially for men and women in all seven countries when PA guidelines were defined as achieving 30 min of moderate and vigorous PA per day., Conclusions: We were able to obtain valid accelerometer data in real time via the Internet from 80% of participants. Although our estimates are higher compared with data from Sweden, Norway, Portugal and the US, there is room for improvement in PA for all countries involved in the Food4Me Study.
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- 2016
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35. Profile of European adults interested in internet-based personalised nutrition: the Food4Me study.
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O'Donovan CB, Forster H, Woolhead C, Marsaux CFM, Macready AL, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WH, Daniel H, Gibney M, and Mathers JC
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Body Mass Index, Body Weight, Energy Intake, Europe, Exercise, Female, Fruit, Health Behavior, Health Status, Humans, Male, Middle Aged, Nutrition Surveys, Nutritional Status, Obesity epidemiology, Prevalence, Surveys and Questionnaires, Vegetables, White People, Young Adult, Diet, Health Promotion methods, Internet
- Abstract
Purpose: Personalised interventions may have greater potential for reducing the global burden of non-communicable diseases and for promoting better health and well-being across the lifespan than the conventional "one size fits all" approach. However, the characteristics of individuals interested in personalised nutrition (PN) are unclear. Therefore, the aim of this study was to describe the characteristics of European adults interested in taking part in an internet-based PN study., Methods: Individuals from seven European countries (UK, Ireland, Germany, The Netherlands, Spain, Greece and Poland) were invited to participate in the study via the Food4Me website ( http://www.food4me.org ). Two screening questionnaires were used to collect data on socio-demographic, anthropometric and health-related characteristics as well as dietary intakes., Results: A total of 5662 individuals expressed an interest in the study (mean age 40 ± 12.7; range 15-87 years). Of these, 65 % were female and 97 % were Caucasian. Overall, 13 % were smokers and 47 % reported the presence of a clinically diagnosed disease. Furthermore, 47 % were overweight or obese and 35 % were sedentary during leisure time. Assessment of dietary intakes showed that 54 % of individuals reported consuming at least 5 portions of fruit and vegetables per day, 46 % consumed more than 3 servings of wholegrains and 37 % limited their salt intake to <5.75 g per day., Conclusions: Our data indicate that individuals volunteering to participate in an internet-based PN study are broadly representative of the European adult population, most of whom had adequate nutrient intakes but could benefit from improved dietary choices and greater physical activity. Future use of internet-based PN approaches is thus relevant to a wide target audience.
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- 2016
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36. Fat mass- and obesity-associated genotype, dietary intakes and anthropometric measures in European adults: the Food4Me study.
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Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, O'Donovan CB, Woolhead C, Marsaux CF, Macready AL, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, and Mathers JC
- Subjects
- Adiposity genetics, Aged, Aged, 80 and over, Alleles, Body Mass Index, Female, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Life Style, Male, Middle Aged, Surveys and Questionnaires, Waist Circumference, Adipose Tissue metabolism, Energy Intake, Feeding Behavior, Gene-Environment Interaction, Obesity genetics, White People genetics
- Abstract
The interplay between the fat mass- and obesity-associated (FTO) gene variants and diet has been implicated in the development of obesity. The aim of the present analysis was to investigate associations between FTO genotype, dietary intakes and anthropometrics among European adults. Participants in the Food4Me randomised controlled trial were genotyped for FTO genotype (rs9939609) and their dietary intakes, and diet quality scores (Healthy Eating Index and PREDIMED-based Mediterranean diet score) were estimated from FFQ. Relationships between FTO genotype, diet and anthropometrics (weight, waist circumference (WC) and BMI) were evaluated at baseline. European adults with the FTO risk genotype had greater WC (AA v. TT: +1·4 cm; P=0·003) and BMI (+0·9 kg/m2; P=0·001) than individuals with no risk alleles. Subjects with the lowest fried food consumption and two copies of the FTO risk variant had on average 1·4 kg/m2 greater BMI (Ptrend=0·028) and 3·1 cm greater WC (Ptrend=0·045) compared with individuals with no copies of the risk allele and with the lowest fried food consumption. However, there was no evidence of interactions between FTO genotype and dietary intakes on BMI and WC, and thus further research is required to confirm or refute these findings.
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- 2016
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37. Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me).
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Marsaux CF, Celis-Morales C, Livingstone KM, Fallaize R, Kolossa S, Hallmann J, San-Cristobal R, Navas-Carretero S, O'Donovan CB, Woolhead C, Forster H, Moschonis G, Lambrinou CP, Surwillo A, Godlewska M, Hoonhout J, Goris A, Macready AL, Walsh MC, Gibney ER, Brennan L, Manios Y, Traczyk I, Drevon CA, Lovegrove JA, Martinez JA, Daniel H, Gibney MJ, Mathers JC, and Saris WH
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- Adult, Female, Genotype, Humans, Internet, Male, Precision Medicine, Self Report, Surveys and Questionnaires, Genetic Testing methods, Motor Activity physiology, Obesity genetics
- Abstract
Background: There is evidence that physical activity (PA) can attenuate the influence of the fat mass- and obesity-associated (FTO) genotype on the risk to develop obesity. However, whether providing personalized information on FTO genotype leads to changes in PA is unknown., Objective: The purpose of this study was to determine if disclosing FTO risk had an impact on change in PA following a 6-month intervention., Methods: The single nucleotide polymorphism (SNP) rs9939609 in the FTO gene was genotyped in 1279 participants of the Food4Me study, a four-arm, Web-based randomized controlled trial (RCT) in 7 European countries on the effects of personalized advice on nutrition and PA. PA was measured objectively using a TracmorD accelerometer and was self-reported using the Baecke questionnaire at baseline and 6 months. Differences in baseline PA variables between risk (AA and AT genotypes) and nonrisk (TT genotype) carriers were tested using multiple linear regression. Impact of FTO risk disclosure on PA change at 6 months was assessed among participants with inadequate PA, by including an interaction term in the model: disclosure (yes/no) × FTO risk (yes/no)., Results: At baseline, data on PA were available for 874 and 405 participants with the risk and nonrisk FTO genotypes, respectively. There were no significant differences in objectively measured or self-reported baseline PA between risk and nonrisk carriers. A total of 807 (72.05%) of the participants out of 1120 in the personalized groups were encouraged to increase PA at baseline. Knowledge of FTO risk had no impact on PA in either risk or nonrisk carriers after the 6-month intervention. Attrition was higher in nonrisk participants for whom genotype was disclosed (P=.01) compared with their at-risk counterparts., Conclusions: No association between baseline PA and FTO risk genotype was observed. There was no added benefit of disclosing FTO risk on changes in PA in this personalized intervention. Further RCT studies are warranted to confirm whether disclosure of nonrisk genetic test results has adverse effects on engagement in behavior change., Trial Registration: ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz).
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- 2016
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38. Application of dried blood spots to determine vitamin D status in a large nutritional study with unsupervised sampling: the Food4Me project.
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Hoeller U, Baur M, Roos FF, Brennan L, Daniel H, Fallaize R, Forster H, Gibney ER, Gibney M, Godlewska M, Hartwig K, Kolossa S, Lambrinou CP, Livingstone KM, Lovegrove JA, Macready AL, Manios Y, Marsaux CF, Martinez JA, Celis-Morales C, Moschonis G, Navas-Carretero S, O'Donovan CB, San-Cristobal R, Saris WH, Surwiłło A, Traczyk I, Tsirigoti L, Walsh MC, Woolhead C, Mathers JC, and Weber P
- Subjects
- 25-Hydroxyvitamin D 2 blood, Adolescent, Adult, Aged, Calcifediol blood, Calibration, Desiccation, Diet Therapy methods, Female, Humans, Male, Middle Aged, Reference Values, Remote Consultation methods, Reproducibility of Results, Seasons, Sensitivity and Specificity, Nutrition Assessment, Nutritional Status, Paper, Reagent Kits, Diagnostic, Vitamin D Deficiency blood
- Abstract
An efficient and robust method to measure vitamin D (25-hydroxy vitamin D3 (25(OH)D3) and 25-hydroxy vitamin D2 in dried blood spots (DBS) has been developed and applied in the pan-European multi-centre, internet-based, personalised nutrition intervention study Food4Me. The method includes calibration with blood containing endogenous 25(OH)D3, spotted as DBS and corrected for haematocrit content. The methodology was validated following international standards. The performance characteristics did not reach those of the current gold standard liquid chromatography-MS/MS in plasma for all parameters, but were found to be very suitable for status-level determination under field conditions. DBS sample quality was very high, and 3778 measurements of 25(OH)D3 were obtained from 1465 participants. The study centre and the season within the study centre were very good predictors of 25(OH)D3 levels (P<0·001 for each case). Seasonal effects were modelled by fitting a sine function with a minimum 25(OH)D3 level on 20 January and a maximum on 21 July. The seasonal amplitude varied from centre to centre. The largest difference between winter and summer levels was found in Germany and the smallest in Poland. The model was cross-validated to determine the consistency of the predictions and the performance of the DBS method. The Pearson's correlation between the measured values and the predicted values was r 0·65, and the sd of their differences was 21·2 nmol/l. This includes the analytical variation and the biological variation within subjects. Overall, DBS obtained by unsupervised sampling of the participants at home was a viable methodology for obtaining vitamin D status information in a large nutritional study.
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- 2016
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39. Predicting fatty acid profiles in blood based on food intake and the FADS1 rs174546 SNP.
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Hallmann J, Kolossa S, Gedrich K, Celis-Morales C, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Marsaux CF, Lambrinou CP, Mavrogianni C, Moschonis G, Navas-Carretero S, San-Cristobal R, Godlewska M, Surwiłło A, Mathers JC, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Saris WH, Manios Y, Martinez JA, Traczyk I, Gibney MJ, and Daniel H
- Subjects
- Delta-5 Fatty Acid Desaturase, Diet, Fatty Acids genetics, Female, Humans, Male, Models, Biological, Eating genetics, Fatty Acid Desaturases genetics, Fatty Acids blood, Polymorphism, Single Nucleotide
- Abstract
Scope: A high intake of n-3 PUFA provides health benefits via changes in the n-6/n-3 ratio in blood. In addition to such dietary PUFAs, variants in the fatty acid desaturase 1 (FADS1) gene are also associated with altered PUFA profiles., Methods and Results: We used mathematical modeling to predict levels of PUFA in whole blood, based on multiple hypothesis testing and bootstrapped LASSO selected food items, anthropometric and lifestyle factors, and the rs174546 genotypes in FADS1 from 1607 participants (Food4Me Study). The models were developed using data from the first reported time point (training set) and their predictive power was evaluated using data from the last reported time point (test set). Among other food items, fish, pizza, chicken, and cereals were identified as being associated with the PUFA profiles. Using these food items and the rs174546 genotypes as predictors, models explained 26-43% of the variability in PUFA concentrations in the training set and 22-33% in the test set., Conclusion: Selecting food items using multiple hypothesis testing is a valuable contribution to determine predictors, as our models' predictive power is higher compared to analogue studies. As unique feature, we additionally confirmed our models' power based on a test set., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
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- 2015
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40. Effects of a Web-Based Personalized Intervention on Physical Activity in European Adults: A Randomized Controlled Trial.
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Marsaux CF, Celis-Morales C, Fallaize R, Macready AL, Kolossa S, Woolhead C, O'Donovan CB, Forster H, Navas-Carretero S, San-Cristobal R, Lambrinou CP, Moschonis G, Surwillo A, Godlewska M, Goris A, Hoonhout J, Drevon CA, Manios Y, Traczyk I, Walsh MC, Gibney ER, Brennan L, Martinez JA, Lovegrove JA, Gibney MJ, Daniel H, Mathers JC, and Saris WH
- Subjects
- Adult, Aged, Europe, Female, Genotype, Humans, Male, Middle Aged, Phenotype, Precision Medicine, Surveys and Questionnaires, Treatment Outcome, Internet statistics & numerical data, Motor Activity physiology
- Abstract
Background: The high prevalence of physical inactivity worldwide calls for innovative and more effective ways to promote physical activity (PA). There are limited objective data on the effectiveness of Web-based personalized feedback on increasing PA in adults., Objective: It is hypothesized that providing personalized advice based on PA measured objectively alongside diet, phenotype, or genotype information would lead to larger and more sustained changes in PA, compared with nonpersonalized advice., Methods: A total of 1607 adults in seven European countries were randomized to either a control group (nonpersonalized advice, Level 0, L0) or to one of three personalized groups receiving personalized advice via the Internet based on current PA plus diet (Level 1, L1), PA plus diet and phenotype (Level 2, L2), or PA plus diet, phenotype, and genotype (Level 3, L3). PA was measured for 6 months using triaxial accelerometers, and self-reported using the Baecke questionnaire. Outcomes were objective and self-reported PA after 3 and 6 months., Results: While 1270 participants (85.81% of 1480 actual starters) completed the 6-month trial, 1233 (83.31%) self-reported PA at both baseline and month 6, but only 730 (49.32%) had sufficient objective PA data at both time points. For the total cohort after 6 months, a greater improvement in self-reported total PA (P=.02) and PA during leisure (nonsport) (P=.03) was observed in personalized groups compared with the control group. For individuals advised to increase PA, we also observed greater improvements in those two self-reported indices (P=.006 and P=.008, respectively) with increased personalization of the advice (L2 and L3 vs L1). However, there were no significant differences in accelerometer results between personalized and control groups, and no significant effect of adding phenotypic or genotypic information to the tailored feedback at month 3 or 6. After 6 months, there were small but significant improvements in the objectively measured physical activity level (P<.05), moderate PA (P<.01), and sedentary time (P<.001) for individuals advised to increase PA, but these changes were similar across all groups., Conclusions: Different levels of personalization produced similar small changes in objective PA. We found no evidence that personalized advice is more effective than conventional "one size fits all" guidelines to promote changes in PA in our Web-based intervention when PA was measured objectively. Based on self-reports, PA increased to a greater extent with more personalized advice. Thus, it is crucial to measure PA objectively in any PA intervention study., Trial Registration: ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz).
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- 2015
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41. How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?
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Celis-Morales C, Livingstone KM, Woolhead C, Forster H, O'Donovan CB, Macready AL, Fallaize R, Marsaux CFM, Tsirigoti L, Efstathopoulou E, Moschonis G, Navas-Carretero S, San-Cristobal R, Kolossa S, Klein UL, Hallmann J, Godlewska M, Surwiłło A, Drevon CA, Bouwman J, Grimaldi K, Parnell LD, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Daniel H, Saris WHM, Gibney M, and Mathers JC
- Abstract
Unlabelled: In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in a validation study (VS). Participants (n = 140) from seven European countries, participating in the Food4Me intervention study which aimed to test the efficacy of personalised nutrition approaches delivered via the internet, were invited to take part in the VS. Participants visited a research centre in each country within 2 weeks of providing SR data via the internet. Participants received detailed instructions on how to perform each measurement. Individual's identity was checked visually and by repeated collection and analysis of buccal cell DNA for 33 genetic variants. Validation of identity using genomic information showed perfect concordance between SR and VS. Similar results were found for demographic data (age and sex verification). We observed strong intra-class correlation coefficients between SR and VS for anthropometric data (height 0.990, weight 0.994 and BMI 0.983). However, internet-based SR weight was under-reported (Δ -0.70 kg [-3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Δ -0.29 kg m(-2) [-1.5 to 1.0], p < 0.0001). BMI classification was correct in 93 % of cases. We demonstrate the utility of genotype information for detection of possible identity fraud in e-health studies and confirm the reliability of internet-based, SR anthropometric and demographic data collected in the Food4Me study., Trial Registration: NCT01530139 ( http://clinicaltrials.gov/show/NCT01530139 ).
- Published
- 2015
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42. Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries.
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Celis-Morales C, Livingstone KM, Marsaux CF, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Daly EJ, Akujobi V, O'Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen TE, Kaland SE, Matthews JN, Manios Y, Traczyk I, Drevon CA, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WH, Daniel H, Gibney M, and Mathers JC
- Abstract
Improving lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing well-being. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Therefore, the aim of this study was to conduct a multi-centre, web-based, proof-of-principle study of personalised nutrition (PN) to determine whether providing more personalised dietary advice leads to greater improvements in eating patterns and health outcomes compared to conventional population-based advice. A total of 5,562 volunteers were screened across seven European countries; the first 1,607 participants who fulfilled the inclusion criteria were recruited into the trial. Participants were randomly assigned to one of the following intervention groups for a 6-month period: Level 0-control group-receiving conventional, non-PN advice; Level 1-receiving PN advice based on dietary intake data alone; Level 2-receiving PN advice based on dietary intake and phenotypic data; and Level 3-receiving PN advice based on dietary intake, phenotypic and genotypic data. A total of 1,607 participants had a mean age of 39.8 years (ranging from 18 to 79 years). Of these participants, 60.9 % were women and 96.7 % were from white-European background. The mean BMI for all randomised participants was 25.5 kg m(-2), and 44.8 % of the participants had a BMI ≥ 25.0 kg m(-2). Food4Me is the first large multi-centre RCT of web-based PN. The main outcomes from the Food4Me study will be submitted for publication during 2015.
- Published
- 2015
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43. Comparison of aminolevulinic acid (ALA)-thermogel-PDT with methyl-ALA-thermogel-PDT in basal cell carcinoma.
- Author
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Schleier P, Berndt A, Kolossa S, Zenk W, Hyckel P, and Schultze-Mosgau S
- Abstract
Background: Aminolevulinic acid (ALA) and light irradiation is a treatment option in basal cell carcinomas (BCC). The development of ALA-esters with potential for greater penetration depth promises higher therapeutic success. In a pilot study, we hypothesized that the cytotoxic effect of methyl-ALA (mALA) photodynamic therapy (PDT) leads to a higher success rate compared with ALA-PDT when both are topically applied in a thermogel., Methods: Twenty-four patients with 112 superficial BCC were treated with either 10% ALA- or mALA-thermogel. After an accumulation time of at least 3h, the lesions were illuminated with a diode laser. The power density was 0.1W/cm(2) and the energy density was 120J/cm(2). After intervals of 12 weeks and 6 months, the therapeutic efficacy was assessed by clinical examination., Results: Sixty percent of the tumors were treated successfully in the first session. All but 3% of the remaining tumors could be treated with a second or third course of therapy., Conclusion: Although mALA should have a greater penetration depth, the therapeutic outcome of this preliminary study showed no difference between treatments. The final proof of this preliminary result will require further study.
- Published
- 2007
- Full Text
- View/download PDF
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