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Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial.
González-Palacios, S, Oncina-Cánovas, A, García-de-la-Hera, M, Martínez-González, MÁ, Salas-Salvadó, J, Corella, D, Schröder, H, Martínez, JA, Alonso-Gómez, ÁM, Wärnberg, J, et al
Atherosclerosis. 2023;377:12-23
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Evidence is increasing linking the consumption of ultra-processed foods (UPF) and an increased risk for the development of heart disease. However, there is still uncertainty surrounding how changes in UPF consumption can affect heart disease risk factors. This secondary analysis of a randomised control trial, which looked at the effects of an energy restricted Mediterranean diet in combination with exercise on the prevention of heart disease, aimed to determine how changes in UPF consumption can affect indicators of heart disease risk over a 12-month period. The results showed that high UPF consumption was associated with higher heart disease risk factors including weight, body mass index, waist circumference, diastolic blood pressure, blood sugar levels, measures of insulin resistance, and triglycerides. Further detrimental effects were seen with UPF consumption increasing, and high-density lipoprotein cholesterol decreasing. No associations were seen with systolic blood pressure, total cholesterol, and low-density lipoprotein cholesterol. It was concluded that high UPF consumption has a detrimental effect on heart disease risk. This study could be used by healthcare professionals to recommend a diet low or devoid of UPF to stay heart healthy.
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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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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Link between gut microbiota and health outcomes in inulin -treated obese patients: Lessons from the Food4Gut multicenter randomized placebo-controlled trial.
Hiel, S, Gianfrancesco, MA, Rodriguez, J, Portheault, D, Leyrolle, Q, Bindels, LB, Gomes da Silveira Cauduro, C, Mulders, MDGH, Zamariola, G, Azzi, AS, et al
Clinical nutrition (Edinburgh, Scotland). 2020;39(12):3618-3628
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A global obesity epidemic has become a growing concern today. Modifying the microbial population in our gut has been identified as a nutritional intervention strategy for managing obesity. Fermentable dietary fibres such as inulin-type fructans may alter the microbial population in the gut. In this randomised, single-blind, multicentric, placebo-controlled study, researchers examined the effect of 16g/d native inulin supplementation with inulin-rich vegetables on obesity and gut bacteria composition over three months in 106 Caucasian subjects. Furthermore, the study examined the synergistic effects of metformin and inulin on gut microbial composition. 75% of the participants lost body weight after taking inulin and making dietary changes. In addition, BMI, fat mass and other metabolic markers decreased in this group. Combined with inulin, metformin showed gut microbial modulation, although an increase in Bifidobacterium species was less noticeable. Supplementing inulin with inulin-rich vegetables caused uncomfortable side effects such as bloating and flatulence. Even though subjects showed a reduction in side effects after the first month of supplementation, it should be considered when making intervention decisions for people prone to digestive issues. Nutrition practitioners can use these results when developing obesity intervention strategies.
Abstract
BACKGROUND The gut microbiota is altered in obesity and is strongly influenced by nutrients and xenobiotics. We have tested the impact of native inulin as prebiotic present in vegetables and added as a supplement on gut microbiota-related outcomes in obese patients. Metformin treatment was analyzed as a potential modulator of the response. METHODS A randomized, single-blinded, multicentric, placebo-controlled trial was conducted in 150 obese patients who received 16 g/d native inulin versus maltodextrin, coupled to dietary advice to consume inulin-rich versus -poor vegetables for 3 months, respectively, in addition to dietary caloric restriction. Anthropometry, diagnostic imaging (abdominal CT-scan, fibroscan), food-behavior questionnaires, serum biology and fecal microbiome (primary outcome; 16S rDNA sequencing) were analyzed before and after the intervention. RESULTS Both placebo and prebiotic interventions lowered energy intake, BMI, systolic blood pressure, and serum γ-GT. The prebiotic induced greater weight loss and additionally decreased diastolic blood pressure, AST and insulinemia. Metformin treatment compromised most of the gut microbiota changes and metabolic improvements linked to prebiotic intervention. The prebiotic modulated specific bacteria, associated with the improvement of anthropometry (i.e. a decrease in Desulfovibrio and Clostridium sensu stricto). A large increase in Bifidobacterium appears as a signature of inulin intake rather than a driver of prebiotic-linked biological outcomes. CONCLUSIONS Inulin-enriched diet is able to promote weight loss in obese patients, the treatment efficiency being related to gut microbiota characteristics. This treatment is more efficacious in patients who did not receive metformin as anti-diabetic drugs prior the intervention, supporting that both drug treatment and microbiota might be taken into account in personalized nutrition interventions. Registered under ClinicalTrials.gov Identifier no NCT03852069.
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Is waist-to-height ratio the best predictive indicator of hypertension incidence? A cohort study.
Rezende, AC, Souza, LG, Jardim, TV, Perillo, NB, Araújo, YCL, de Souza, SG, Sousa, ALL, Moreira, HG, de Souza, WKSB, do Rosário Gondim Peixoto, M, et al
BMC public health. 2018;18(1):281
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A variety of methods of measuring body fat are used as tools to predict the risk of developing certain lifestyle-related diseases such as high blood pressure. It is not yet clear which of these methods is the most accurate. The aim of this study was to evaluate and compare the effectiveness of using different measures of body fat to predict high blood pressure. The study was performed in Brazil. Adult volunteers with normal blood pressure were assessed for body fat using waist-to-height ratio (WHtR), body mass index (BMI) and waist circumference (WC), and then followed-up 13 years later to find out whether they had developed high blood pressure. 44% of the participants developed high blood pressure during the study period. BMI, WC and WHtR were all associated with the risk of high blood pressure and had similar accuracy in predicting the disease. However, the associations were only significant for women. The cut-off points for predicting high blood pressure agreed with current recommendations, except for the WC in men. The results suggest that both overall obesity (BMI) and central obesity (WC and WHtR) indicators can be used in this population to evaluate the risk of developing high blood pressure.
Abstract
BACKGROUND The best anthropometric indicator to verify the association between obesity and hypertension (HTN) has not been established. We conducted this study to evaluate and compare the discriminatory power of waist-to-height ratio (WHtR) in relation to body mass index (BMI) and waist circumference (WC) in predicting HTN after 13 years of follow-up. METHODS This study was an observational prospective cohort study performed in the city of Firminópolis, in Brazilian's midwest. The cohort baseline (phase 1) was initiated in 2002 with the evaluation of a representative sample of the normotensive population (≥ 18 years of age). The incidence of HTN was evaluated as the outcome (phase 2). Sociodemographic, dietary and lifestyle variables were used to adjust proportional hazards models and evaluate risk of HTN according to anthropometric indices. The areas under the receiver operating characteristic (ROC) curves were used to compare the predictive capacity of these indices. The best HTN predictor cut-offs were obtained based on sensitivity and specificity. RESULTS A total of 471 patients with a mean age of 38.9 ± 12.3 years were included in phase 1. The mean follow-up was 13.2 years, and 207 subjects developed HTN. BMI, WC and WHtR were associated with risk of HTN incidence and had similar power in predicting the disease. However, the associations were only significant for women. The cut-off points with a better HTN predictive capacity were in agreement with current recommendations, except for the WC in men. CONCLUSIONS The results suggest that both overall obesity (BMI) and central obesity (WC and WHtR) anthropometric indicators can be used in this population to evaluate the risk of developing hypertension.