ORCID Profile
0000-0001-5944-8027
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Publisher: JMIR Publications Inc.
Date: 30-06-2016
DOI: 10.2196/JMIR.5620
Publisher: JMIR Publications Inc.
Date: 14-10-2015
DOI: 10.2196/JMIR.4660
Publisher: JMIR Publications Inc.
Date: 05-02-2016
DOI: 10.2196/JMIR.5198
Publisher: Wiley
Date: 28-01-2016
Abstract: 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. 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. 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.
Publisher: Elsevier BV
Date: 09-2016
Abstract: The apolipoprotein E (APOE) risk allele (ɛ4) is associated with higher total cholesterol (TC), lified 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). 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). In iduals (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. 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). 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.
Publisher: Springer Science and Business Media LLC
Date: 05-07-2015
Publisher: Cambridge University Press (CUP)
Date: 02-06-2015
DOI: 10.1017/S0029665115002086
Abstract: Food records or diaries, dietary recalls and FFQ are methods traditionally used to measure dietary intake however, advancing technologies and growing awareness in personalised health have heightened interest in the application of new technologies to assess dietary intake. Dietary intake data can be used in epidemiology, dietary interventions and in the delivery of personalised nutrition advice. Compared with traditional dietary assessment methods, new technologies have many advantages, including their ability to automatically process data and provide personalised dietary feedback advice. This review examines the new technologies presently under development for the assessment of dietary intakes, and their utilisation and efficacy for personalising dietary advice. New technology-based methods of dietary assessment can broadly be categorised into three key areas: online (web-based) methods, mobile methods and sensor technologies. Several studies have demonstrated that utilising new technologies to provide tailored advice can result in positive dietary changes and have a significant impact on selected nutrient and food group intakes. However, comparison across studies indicates that the magnitude of change is variable and may be influenced by several factors, including the frequency and type of feedback provided. Future work should establish the most effective combinations of these factors in facilitating dietary changes across different population groups.
Publisher: Springer Science and Business Media LLC
Date: 10-12-2019
Publisher: Cambridge University Press (CUP)
Date: 09-11-2015
DOI: 10.1017/S0007114515004298
Abstract: An efficient and robust method to measure vitamin D (25-hydroxy vitamin D 3 (25(OH)D 3 ) and 25-hydroxy vitamin D 2 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)D 3 , 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 s le quality was very high, and 3778 measurements of 25(OH)D 3 were obtained from 1465 participants. The study centre and the season within the study centre were very good predictors of 25(OH)D 3 levels ( P ·001 for each case). Seasonal effects were modelled by fitting a sine function with a minimum 25(OH)D 3 level on 20 January and a maximum on 21 July. The seasonal litude 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 s ling of the participants at home was a viable methodology for obtaining vitamin D status information in a large nutritional study.
Publisher: Springer Science and Business Media LLC
Date: 17-04-2015
DOI: 10.1007/S00394-015-0897-Y
Abstract: 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 in iduals 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. In iduals from seven European countries (UK, Ireland, Germany, The Netherlands, Spain, Greece and Poland) were invited to participate in the study via the Food4Me website ( www.food4me.org ). Two screening questionnaires were used to collect data on socio-demographic, anthropometric and health-related characteristics as well as dietary intakes. A total of 5662 in iduals 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 in iduals 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. Our data indicate that in iduals 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.
Publisher: Cambridge University Press (CUP)
Date: 12-2015
DOI: 10.1017/S0007114515004675
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/m 2 P =0·001) than in iduals 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/m 2 greater BMI ( P trend =0·028) and 3·1 cm greater WC ( P trend =0·045) compared with in iduals 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.
Publisher: Wiley
Date: 30-09-2015
Abstract: 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. 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. 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.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Hannah Forster.