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Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial.
Livingstone, KM, Celis-Morales, C, Navas-Carretero, S, San-Cristobal, R, Forster, H, Woolhead, C, O'Donovan, CB, Moschonis, G, Manios, Y, Traczyk, I, et al
The international journal of behavioral nutrition and physical activity. 2021;18(1):70
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Food4Me is an internet-based personalised nutrition study that evaluates the effectiveness of personalized dietary advice in avoiding discretionary foods compared to conventional advice. In different countries, discretionary foods are classified differently. Therefore, this study included two measures of discretionary foods identified by the Food4Me Food Frequency Questionnaire, which covered 22 discretionary foods classified by Food Standards Scotland and 59 discretionary foods identified by Australian Dietary Guidelines. For six months, 1607 participants from seven European countries were randomly assigned to receive generalised dietary advice or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Personalised nutrition advice was found to be effective in reducing discretionary foods when categorisation included foods high in fat, added sugar and salt. There was a greater reduction in energy, sugar, salt, and saturated fat intakes in people who received personalised nutrition advice [L1-3] as compared to generalised dietary advice after six months. Results of this study can be used by healthcare professionals to support personalised nutrition strategies in the general population targeting discretionary foods to increase compliance with personalised nutrition strategies and achieve better health outcomes.
Abstract
BACKGROUND The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications. METHODS Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications. RESULTS Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2. CONCLUSIONS Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods. TRIAL REGISTRATION Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.
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Avocado Intake, and Longitudinal Weight and Body Mass Index Changes in an Adult Cohort.
Heskey, C, Oda, K, Sabaté, J
Nutrients. 2019;11(3)
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There is increasing research aimed at reducing the prevalence of overweight and obesity worldwide. Evidence suggests nutrient-dense, whole food choices may help reduce weight gain by increased fibre intake, reduced fat absorption and improved satiety levels, and avocados have recently been suggested to help reduce excess adiposity. The aim of this study is to examine the effect of habitual avocado intake on adult weight gain and changes in body mass index (BMI). This longitudinal study analysed data from the Adventist Health Study-2, which is comprised of approximately 96,000 members. Subjects were mailed a comprehensive lifestyle questionnaire that included self-reported weight, height and avocado consumption. Two follow-up questionnaires were sent out to collect self-reported weight, with follow-up time varying between 4-11 years. This study found avocado intake to be associated with a lower prevalence of overweight and attenuated weight gain in normal weight individuals over time. While avocado intake reduced the odds of becoming overweight or obese, when adjusted for BMI it was found baseline BMI had more of an impact on the odds of becoming overweight or obese than avocado intake. Based on these results, the authors suggest avocado consumption, as part of a healthy diet, may impact long-term changes in weight at the population level.
Abstract
Avocados contain nutrients and bioactive compounds that may help reduce the risk of becoming overweight/obese. We prospectively examined the effect of habitual avocado intake on changes in weight and body mass index (BMI). In the Adventist Health Study (AHS-2), a longitudinal cohort (~55,407; mean age ~56 years; U.S. and Canada), avocado intake (standard serving size 32 g/day) was assessed by a food frequency questionnaire (FFQ). Self-reported height and weight were collected at baseline. Self-reported follow-up weight was collected with follow-up questionnaires between four and 11 years after baseline. Using the generalized least squares (GLS) approach, we analyzed repeated measures of weight in relation to avocado intake. Marginal logistic regression analyses were used to calculate the odds of becoming overweight/obese, comparing low (>0 to <32 g/day) and high (≥32 g/day) avocado intake to non-consumers (reference). Avocado consumers who were normal weight at baseline, gained significantly less weight than non-consumers. The odds (OR (95% CI)) of becoming overweight/obese between baseline and follow-up was 0.93 (0.85, 1.01), and 0.85 (0.60, 1.19) for low and high avocado consumers, respectively. Habitual consumption of avocados may reduce adult weight gain, but odds of overweight/obesity are attenuated by differences in initial BMI values.