The number and proportion of people aged 60 years old and over is increasing worldwide. Ageing is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major chronic diseases including diabetes, cardiovascular disease, and neurodegenerative disorders. The incidence of chronic conditions frequently rises sharply with age, after long exposure to unhealthful lifestyles involving the consumption of unhealthy diets and physical inactivity. Consequently, integrated dietary strategies and actions are required to promote healthy ageing and target major causes of morbidity and mortality in senior populations. The promising field of precision nutrition is rising as a therapeutic approach that aims to design tailored dietary interventions to prevent and manage chronic diseases. Indeed, precision nutrition approaches contemplate the interindividual heterogeneity caused by genetic/epigenetic dissimilarities, individual facets such as age and gender, the lifestyle and environmental exposome diversity, microbiome variations, and singular behavioral/psychological features. On the other hand, the inclusion of potentially bioactive compounds and functional foods as promoters of healthy aging within personalised dietary patterns could be an effective strategy to delay the aging process and age-related chronic diseases. One of the main limitations of a dietary prescription is the lack of compliance, due to the complexity of the prescription itself and/or the lack of commitment of the individual. The inclusion of digital tools to empower and motivate individuals and to support them in the management of the dietary strategy could overcome this limitation. With this background, the general objective of this investigation is to design precision nutritional strategies based on the inclusion of functional foods and digital tools for preventing age-related chronic diseases in pre-senior and senior populations. Additionally, this study proposes alternative tools for cognitive assessments increasing the accessibility to cognitive assessment tools for this population as well as an innovative digital tool for cognitive stimulation which is personalized, monitored, and evidence-based.
This study is designed as a 12-week, randomized parallel intervention trial, with two arms: 1) Control group, who follows a control diet based on the current dietary guidelines of the Spanish Society of Community Nutrition (SENC) using the Healthy Eating Plate method (Harvard), and 2) Nutriprecision Group, which were instructed to follow the Nutriprecision diet based on the inclusion of digital tools and functional foods, whose postprandial effects were previously evaluated by randomized, cross-over, double-blind studies in senior subjects in the Centre for Nutrition Research (UNAV) and IMDEA-ALIMENTACIÓN. The incremental area under the curve (iAUC) for glucose and insulin was calculated for all designed foods and was compared with their reference products. Additionally, lipid profile and satiety were measured at fasting and at 15, 30, 45, 60, 90, and 120 min after starting the food intake. In all these studies, the reference and test foods were administered once in random order, with a wash-out period between 7 days and 14 days among assays. This multi-centric study was carried out in the Nutrition Intervention Unit of the Centre for Nutrition Research in the University of Navarra and the Nutritional and Clinical Trials Unit in IMDEA-ALIMENTACIÓN by qualified professionals (nurse, doctor-dietician, dieticians, pharmacists). A total of five visits had been established along with the 12-weeks trial: 1) study information and screening; 2) day 0: start of the intervention; 3) day 28: group session (control group)/follow-up visit (Nutriprecision group); 4) day 56: group session (control group)/follow-up visit (Nutriprecision group) and 5) day 84: end of the intervention. At the start and finish days of the study, participants visited the Nutrition Intervention Unit or the Clinical Trials Unit in a fasting state. Participants were instructed to collect the first-morning urine sample. Additionally, volunteers from the University of Navarra self-collected fecal samples at baseline using OMNIgene.GUT kits from DNA Genotek. Volunteers were also informed of a digital-based procedure for cognitive assessment and other digital tools available depending on the assigned intervention (experimental VS control). Blood samples were drawn by venipuncture after a 12 h overnight fast in a clinical setting. After 10 minutes of rest and having answered the Mini Nutritional Assessment (MNA) and the Mini-Mental State Examination (MMSE) questionnaires, blood pressure was measured. Later, anthropometric measurements and body composition analysis were performed. Global cognitive performance was also assessed by the Guttmann NeuroPersonalTrainer platform. The duration of these visits was approximately 1 hour. On the 28th and 56th study days, participants assigned to the control group attended online group sessions and received intensive education and advice to increase the adherence to the dietary strategy. Sessions consisted of informative talks about the prescribed dietary pattern, food label use, seasonal shopping lists, meal plans and recipes, physical activity and exercise recommendations, sleep habits, etc. Contrary, participants allocated to the Nutriprecision group attended in person visits with the dieticians, to evaluate the adherence to the assigned nutritional treatment. Additionally, anthropometric, body composition, and blood pressure measurements were assessed. Participants were also asked to fill different questionnaires about health status (SF-36 Health Survey), gastrointestinal symptoms (gastrointestinal symptoms rating scale, GSRT), dietary assessment (7-day recall), Mediterranean diet adherence (14-Item Mediterranean Diet Assessment Tool), physical activity (International Physical Activity Questionnaire, IPAQ) and drug therapy modifications. Moreover, the Nutriprecision group were asked to collect a sensory perception questionnaire and a food consumption record of the precision foods administered.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
126
Control diet: A Mediterranean conventional diet based on the current dietary guidelines of the Spanish Society of Community Nutrition (SENC). Participants were strongly advised to use the Healthy Eating Plate (Harvard) to structure and prepare the main meals (lunch and dinner). In this way, at least ½ of the plate should be composed of vegetables, ¼ of lean protein, and ¼ of low glycemic index carbohydrates. The diet encourages participants to eat 5 times/day (breakfast, lunch, dinner, and two snacks). Overall, the control diet was based on high consumption of vegetables and fruits, whole grains, healthy fats (olive oil), and healthy proteins (legumes, fish, and lean meat). There was not energy restriction in the control diet.
Nutriprecision diet: a Mediterranean balanced diet based on the inclusion of precision foods designed according to the particularities of the senior population. The selected precision foods were a) fruit compote, b) smoothie, c) extruded meat product, d) wholemeal bread, e) wholemeal biscuit and f) microwaveable deep-frozen vegetable products. The diet encourages participants to eat 5 times/day with a conventionally balanced distribution of macronutrients (50% of the total caloric value from carbohydrates, 20% from proteins, and 30% from lipids). There was not energy restriction, although the energy requirements of the participants were adjusted to a BMI of 25 kg/m2 to avoid an overestimate of calorie intake. A mobile application designed and developed to provide volunteers with information about follow-up visits, the assigned diet, recommendations, and messages to motivate them during the intervention. A digital tool for cognitive stimulation.
Centre for Nutrition Research, University of Navarra
Pamplona, Navarre, Spain
Change From Baseline General Health Status at 3 Months
General health score encompassed twelve parameters, on a scale of 0 to 21, with higher scores indicating a worse overall health: * BMI * Waist Circumference * Glycosylated hemoglobin (HbA1C) * Total cholesterol * HDL-cholesterol * LDL-cholesterol * Triglycerides * Uric acid * Systolic Blood Pressure \| Diastolic Blood Pressure * Gastrointestinal Health (GSRT) * Cognitive Function * Extra negative point if reducing medication
Time frame: 0 months and 3 months
Change From Baseline Weight at 3 Months
Weight was measured by a digital scale
Time frame: 0 months and 3 months
Baseline height
Height was recorded using a wall-mounted stadiometer (Seca 220, Vogel \& Halke, Germany).
Time frame: 0 months
Change From Baseline Body Mass Index at 3 Months
Body mass index was calculated using the standard formula: weight (kg)/height (m)2
Time frame: 0 months and 3 months
Change From Baseline Fat Mass at 3 Months
Fat mass was measured by Bioelectrical impedance analysis (BIA, SC-330, Tanita)
Time frame: 0 months and 3 months
Change From Baseline Lean Mass at 3 Months
Lean mass was measured by Bioelectrical impedance analysis (BIA, SC-330, Tanita)
Time frame: 0 months and 3 months
Change From Baseline Waist Circumference at 3 Months
Waist Circumference was measured by with a tape measure
Time frame: 0 months and 3 months
Change From Baseline Hip Circumference at 3 Months
Hip Circumference was measured by with a tape measure
Time frame: 0 months and 3 months
Change From Baseline Systolic Blood Pressure at 3 Months
Systolic Blood Pressure was measured using an automatic monitor device (Intelli Sense. M6, OMRON Healthcare, Hoofdorp, the Netherlands)
Time frame: 0 months and 3 months
Change From Baseline Diastolic Blood Pressure at 3 Months
Diastolic Blood Pressure was measured using an automatic monitor device (Intelli Sense. M6, OMRON Healthcare, Hoofdorp, the Netherlands)
Time frame: 0 months and 3 months
Change From Baseline Serum Triglycerides at 3 Months
Triglycerides were measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Total Cholesterol at 3 Months
Total cholesterol was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum LDL-Cholesterol at 3 Months
LDL-cholesterol was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum HDL-Cholesterol at 3 Months
HDL-cholesterol was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Uric Acid at 3 Months
Uric acid was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Glucose at 3 Months
Glucose was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Insulin at 3 Months
Insulin was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Glycosylated hemoglobin (HbA1C) at 3 Months
Glycosylated hemoglobin (HbA1C) was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Aspartate Aminotransferase at 3 Months
Aspartate aminotransferase was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Alanine Aminotransferase at 3 Months
Alanine aminotransferase was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Serum Gamma-glutamyltransferase at 3 Months
Gamma glutamyltransferase was measured in fasting conditions
Time frame: 0 months and 3 months
Change From Baseline Physical Activity Level at 3 Months
Physical activity was measured by the International Physical Activity Questionnaire (IPAQ)
Time frame: 0 months and 3 months
Change From Baseline Dietary Intake at 3 Months
Dietary intake was measured by a 7-day recall
Time frame: 0 months and 3 months
Change From Baseline Mediterranean Diet Adherence at 3 Months
Mediterranean diet adherence was measured by the 14-Item Mediterranean Diet Assessment Tool
Time frame: 0 months and 3 months
Change From Baseline Health Status at 3 Months
Health status was measured by the SF-36 Health Survey
Time frame: 0 months and 3 months
Change From Baseline Gastrointestinal Symptoms at 3 Months
Gastrointestinal symptoms were measured by the gastrointestinal symptoms rating scale, GSRT
Time frame: 0 months and 3 months
Change From Baseline Sensory Perception of Precision Foods at 3 Months
Sensory perception of precision foods was measured by the sensory perception questionnaire
Time frame: 1 month and 3 months
Food Consumption of the Precision Foods
Food consumption of the precision foods was measured by a food consumption record
Time frame: 1 month, 2 months and 3 months
Change From Baseline Risk of Malnutrition at 3 Months
Risk of malnutrition was measured by the Mini Nutritional Assessment (MNA) questionnaire
Time frame: 0 months and 3 months
Change From Baseline Cognitive Impairment at 3 Months
Cognitive impairment was measured by the Mini-Mental State Examination (MMSE) questionnaire
Time frame: 0 months and 3 months
Change From Baseline Cognitive Function at 3 Months
Cognitive function was measured by the Guttmann NeuroPersonalTrainer platform
Time frame: 0 months and 3 months
Baseline Gut Microbiota Composition
Gut Microbiota Composition will be measured using OMNIgene.GUT kits from DNA Genotek
Time frame: 0 months
Usability of the digital tools
Usability will be measured using the System Usability Scale (SUS)
Time frame: 3 months
Baseline subjective hunger
Visual analogue scale rating in a scale from 0 to 100 mm, for the quantification of the perceived hunger before the experimental food intake
Time frame: Baseline
Postprandial subjective hunger
Visual analogue scale rating in a scale from 0 to 100 mm, for the quantification of the perceived hunger measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Baseline subjective fullness
Visual analogue scale rating in a scale from 0 to 100 mm for the quantification of the perceived fullness before the experimental food intake
Time frame: Baseline
Postprandial subjective fullness
Visual analogue scale rating in a scale from 0 to 100 mm, for the quantification of the perceived fullness measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Baseline subjective satiety
Visual analogue scale rating in a scale from 0 to100 mm for the quantification of the perceived satiety before the experimental food intake.
Time frame: Baseline
Postprandial subjective satiety
Visual analogue scale rating in a scale from 0 to100 mm for the quantification of the perceived satiety measured at 15, 30, 45, 60, 90 and 120 minutes after experimental food intake
Time frame: Up to 120 minutes
Baseline subjective desire to eat
Visual analogue scale rating in a scale from 0 to 100 mm for the quantification of the perceived desire to eat before the experimental food intake at baseline.
Time frame: Baseline
Postprandial subjective desire to eat
Visual analogue scale rating in a scale from 0 to 100 mm for the quantification of the perceived desire to eat measured at 15, 30, 45, 60, 90 and 120 minutes after experimental food intake
Time frame: Up to 120 minutes
Baseline subjective thirst
Visual analogue scale rating in a scale from 0 to 100 mm for the quantification of the perceived thirst before the experimental food intake at baseline
Time frame: Baseline
Postprandial subjective thirst
Visual analogue scale ratings in a scale from 0 to 100 mm for the quantification the perceived thirst measured at 15, 30, 45, 60, 90 and 120 minutes after experimental food intake
Time frame: Up to 120 minutes
Baseline blood glucose concentration
Blood glucose concentration before experimental food intake
Time frame: Baseline
Baseline blood insulin concentration
Blood insulin concentration before experimental food intake
Time frame: Baseline
Incremental area under the curve (iAUC) for glucose
The incremental area under the curve (AUCi) for glucose was calculated via the geometric sums of the areas of the triangles and trapezoids above the fasting glucose concentration over a 2-h period
Time frame: 0,15,30,45,60,90,120
Incremental area under the curve (iAUC) for insulin
The incremental area under the curve (AUCi) for insulin was calculated via the geometric sums of the areas of the triangles and trapezoids above the fasting insulin concentration over a 2-h period
Time frame: 0,15,30,45,60,90,120
Baseline blood high density lipoprotein cholesterol (HDL) concentration
Blood high density lipoprotein cholesterol (HDL) concentration before experimental food intake
Time frame: Baseline
Baseline blood low density lipoprotein cholesterol (LDL) concentration
Blood low density lipoprotein cholesterol (LDL) concentration before experimental food intake
Time frame: Baseline
Baseline blood triglyceride concentration
Blood triglyceride concentration before experimental food intake
Time frame: Baseline
Postprandial blood glucose concentration
Blood glucose concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Postprandial blood insulin concentration
Blood insulin concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Postprandial blood total cholesterol concentration
Blood total cholesterol concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Postprandial blood high density lipoprotein cholesterol (HDL) concentration
Blood high density lipoprotein cholesterol (HDL) concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Postprandial blood low density lipoprotein cholesterol (LDL) concentration
Blood low density lipoprotein cholesterol (LDL) concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
Postprandial blood triglyceride concentration
Blood triglyceride concentration measured at 15, 30, 45, 60, 90 and 120 minutes after the experimental food intake
Time frame: Up to 120 minutes
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