Guan, V., E. Neale, L. Tapsell, Y. Probst, 2020. Identifying usual food choice combinations with walnuts: Analysis of a 2005-2015 clinical trial cohort of overweight and obese adults. Front Nutr. 7:149. doi: 10.3389/fnut.2020.00149.
Consumption of nuts has been associated with a range of favorable health outcomes. Evidence is now emerging to suggest that walnuts may also play an important role in supporting the consumption of a healthy dietary pattern. However, limited studies have explored how walnuts are eaten at different meal occasions. The aim of this study was to explore the food choices in relation to walnuts at meal occasions as reported by a sample of overweight and obese adult participants of weight loss clinical trials. Baseline usual food intake data were retrospectively pooled from four food-based clinical trials (n=758). A nut-specific food composition database was applied to determine walnut consumption within the food intake data. The Apriori algorithm of association rules was used to identify food choices associated with walnuts at different meal occasions using a nested hierarchical food group classification system. The proportion of participants who were consuming walnuts was 14.5% (n=110). The median walnut intake was 5.14 (IQR 1.10 – 11.45) grams per day. A total of 128 food items containing walnuts were identified for walnut consumers. The proportion of participants who reported consuming unsalted raw walnut was 80.5% (n=103). There were no identified patterns to food choices in relation to walnut at the breakfast, lunch or dinner meal occasions. A total of 24 clusters of food choices related to walnuts were identified at others (meals). By applying a novel food composition database, the present study was able to map the precise combinations of foods associated with walnuts intakes at mealtimes using data mining. This study offers insights into the role of walnuts for the food choices of overweight adults and may support guidance and dietary behavior change strategies.
Bodnaruc, A.M., D. Prud’homme, I. Giroux, 2020. Acute effects of an isocaloric macronutrient-matched breakfast meal containing almonds on glycemic, hormonal, and appetite responses in men with type 2 diabetes: a randomized crossover study. Appl. Physiol. Nutr. Metab. 00: 1–10 (0000) dx.doi.org/10.1139/apnm-2019-0559.
This randomized crossover study assessed the acute effects of almonds on postprandial glycemic, hormonal, and appetite responses in a sample of 7 men with type 2 diabetes (T2D). Participants completed 2 experimental visits during which a control (white bread, butter, cheese) and a test (white bread, almonds) meal were ingested. Energy, available carbohydrate, total lipid, and protein content were the same in both meals. Blood samples were collected in fasting state as well as 15, 30, 60, 90, 120, and 240 min postprandially for quantifying blood glucose, as well as insulin and glucagon-like peptide-1 (GLP-1) serum concentrations. Subjective appetite sensations were assessed using visual analog scales at the same time-points. Within this sample of participants, the test meal was found to be associated with lower postprandial glycemia and insulinemia, higher GLP-1 serum concentrations, decreased hunger and desire to eat, and increased fullness. The test meal was also associated with an increased estimated glucose metabolic clearance rate, indicating higher postprandial insulin sensitivity. Overall, results suggest that almonds’ macronutrient subtype profile could have a beneficial impact on postprandial glycemic, hormonal, and appetite responses in men with T2D. Studies with larger sample sizes are warranted to confirm these findings.
G. Mandalari, 2020. Symposium ‘understanding and managing satiety: processes and opportunities.’ J Nutr Sci. 9:e42. doi: 10.1017/jns.2020.32.
This brief report summarises a framework for understanding satiety presented at the 13th European Nutrition Conference, FENS 2019 – Malnutrition in an Obese World: European Perspectives. Aspects of satiety phenotyping and role of food hedonics in satiation are considered in the context of appetite control and obesity. Almonds are evaluated for their unique composition and structure which affect their behaviour in the human gastrointestinal tract. Their role in appetite control and management of satiety has been explored.
S. Carter, A.M. Hill, C. Yandell, J.D. Buckley, S.-Y. Tan, G.B. Rogers, J. Childs, M. Matheson, K. Lamb, S. Ward, T.R. Stanton, F. Fraysse, A.P. Hills, A.M. Coates, 2020. Study protocol for a 9-month randomised controlled trial assessing the effects of almonds versus carbohydrate-rich snack foods on weight loss and weight maintenance. BMJ Open. 10:e036542. doi:10.1136/ bmjopen-2019-036542.
Introduction: Epidemiological studies indicate an inverse association between nut consumption and body mass index (BMI). However, clinical trials evaluating the effects of nut consumption compared with a nut-free diet on adiposity have reported mixed findings with some studies reporting greater weight loss and others reporting no weight change. This paper describes the rationale and detailed protocol for a randomised controlled trial assessing whether the inclusion of almonds or carbohydrate-rich snacks in an otherwise nut-free energy-restricted diet will promote weight loss during 3 months of energy restriction and limit weight regain during 6 months of weight maintenance. Methods and analysis: One hundred and thirty-four adults aged 25-65 years with a BMI of 27.5-34.9 kg/m2 will be recruited and randomly allocated to either the almond-enriched diet (AED) (15% energy from almonds) or a nut-free control diet (NFD) (15% energy from carbohydrate-rich snack foods). Study snack foods will be provided. Weight loss will be achieved through a 30% energy restriction over 3 months, and weight maintenance will be encouraged for 6 months by increasing overall energy intake by ~120-180 kcal/day (~500-750kJ/day) as required. Food will be self-selected, based on recommendations from the study dietitian. Body composition, resting energy expenditure, total daily energy expenditure (via doubly labelled water), physical activity, appetite regulation, cardiometabolic health, gut microbiome, liver health, inflammatory factors, eating behaviours, mood and personality, functional mobility and pain, quality of life and sleep patterns will be measured throughout the 9-month trial. The effects of intervention on the outcome measures over time will be analysed using random effects mixed models, with treatment (AED or NFD) and time (baseline, 3 months and 9 months) being the between and within factors, respectively in the analysis.
