Food Exchange List and Dietary Management of Non-Communicable Diseases in Cultural Perspective

Dietary perception and knowledge among cardiac patients visiting tertiary care hospital outpatient department (OPD)

Objective

To appraise the dietary perception and knowledge of cardiac patients visiting Outpatient department of a tertiary care hospital.

Methods

A cross sectional study of 466 patients attending cardiac outdoor clinic at a tertiary care cardiac hospital in Rawalpindi, Pakistan were selected through convenient sampling from January to April 2021. Patients included in the study were above 18 years of age and had a cardiac disease. A structured questionnaire in English and Urdu was drafted with questions related to patient demographics, dietary perception and knowledge.

Results

Among 466 patients, 60% (n=280) were males and 40% (n=186) were females whereas 14% (n=66) of the patients were uneducated and 15% (n=68) had completed postgraduate education. In this study 23% (n=106) of the participants used internet to search nutrition related information and 72 % (n=339) of the patients consider their lifestyle to be healthy. Majority (n=261, 56%) of the patients had no idea regarding sodium consumption. 46% (n=215) of the patients had no knowledge regarding the effects of bakery items on cardiac health.

Conclusion

Dietary Knowledge plays a predominant role in the management of cardiac disease. The study concluded that cardiac patients had inadequate knowledge regarding dietary intake in cardiac disease and has high prevalence of dietary myths and misconceptions. Strategic plan including nutritional awareness program and intensive counseling sessions should be designed to increase dietary knowledge of cardiac patients.

Role of dietary fiber and lifestyle modification in gut health and sleep quality

Dietary fiber has an immense role in the gut microbiome by modulating juvenile growth, immune system maturation, glucose, and lipid metabolism. Lifestyle changes might disrupt gut microbiota symbiosis, leading to various chronic diseases with underlying inflammatory conditions, obesity, and its associated pathologies. An interventional study of 16 weeks examined the impact of psyllium husk fiber with and without lifestyle modification on gut health and sleep quality in people with central obesity (men = 60 and women = 60), those aged from 40 to 60 years, those having WC ≥ 90 cm (men) and WC ≥ 80 cm (women), and no history of any chronic disease or regular medication. The participants were subgrouped into three intervention groups, namely, the psyllium husk fiber (PSH) group, the lifestyle modification (LSM) group, and the LSM&PSH group and control group with equal gender bifurcation (men = 15 and women = 15). A 24-h dietary recall, gastrointestinal tract (GIT) symptoms, and sleep quality analysis data were collected on validated questionnaires. The analyses of variance and covariance were used for baseline and post-intervention, respectively. Student's t-test was applied for pre- and post-intervention changes on the variable of interest. The intervention effect on GIT health was highly significant (P < 0.001). The mean GIT scores of the LSM, PSH, and LSM&PSH groups were 2.99 ± 0.14, 2.49 ± 0.14, and 2.71 ± 0.14, respectively, compared to the mean GIT scores of the control group. No significant (P = 0.205) effect of either intervention was observed on sleep quality. The study concluded that psyllium husk fiber significantly improved the GIT symptoms, while no significant effect of the intervention was observed on sleep quality analysis.

The Colombo Twin and Singleton Study (COTASS): Piloting the Feasibility of Collecting Nutritional Data and Extension of the Sample to Include Children of Twins

Nutrition and diet are key modifiable risk factors for the rising burden of non-communicable diseases like cardio-vascular diseases and diabetes in low- and middle- income countries (LMICs). The nutritional transition in dietary behaviours in LMICs has most likely contributed to this problem. Although traditionally assumed to be environmental, dietary choices are also genetically influenced. Twin study designs can be used to investigate the relative influence of genes and environment on nutrition intake, eating behaviours and associated psychological health. The overall aim of this project is to: provide proof-of-concept for the feasibility of using dietary (biomarker) data within the Children-of-Twin design in nutrition studies, develop laboratory skills and statistical genetic skills and establish a Sri Lankan-specific food composition database. Currently, a pilot study is being conducted with 304 individuals (38 Monozygotic twin pairs, 38 Dizygotic twin pairs and their male or female adult offspring). Questionnaire data on nutritional intake, eating behaviours, psychological well-being, physical health, and bio-specimens are being collected. A Sri Lankan-specific food composition database was developed, training sessions on macro and micro element analysis in biological samples and statistical genetics skills development were conducted and Community Engagement and Involvement programs were carried out in two districts of Sri Lanka.

Long-Term Nutritional Counseling for a Patient with Lipoprotein Lipase Deficiency

A one-year-and-nine-month-old Japanese boy was admitted with hypertriglyceridemia (fasting triglycerides 2548 mg/dL). After close examination, he was diagnosed with lipoprotein lipase (LPL) deficiency (compound heterozygous) and was immediately started on a fat-restricted dietary therapy. He responded well to the regimen (1200 kcal/day, 20 g fat/day) and his triglycerides decreased to 628 mg/dL within 7 days of starting the dietary therapy. It was decided to manage his illness without using any drugs because he was still an infant and responded well to a fat-restricted diet. During his hospital stay, dietitians provided him with nutritional counseling using a food exchange list, which was designed to easily calculate the fat content by including foods that are commonly served. His family quickly learned the skills to prepare a fat-restricted diet. Moreover, since dietary restrictions may have impaired the child's growth and development, the dietitians continued to intervene regularly after the child was discharged from the hospital. The dietitians confirmed that the patient was receiving nutritional intake appropriate for his growth and discussed the dietary concerns in his daily life and how to participate in school events that involved eating and drinking. Nutritional counseling was provided every 3-4 months from disease onset to age 23 years, except for a 14-month break at age 20 years. The patient grew up without developing acute pancreatitis, a serious complication of LPL deficiency. The long-term intervention of dieticians is necessary to achieve a balance between living on a strict diet for disease management and ensuring appropriate nutritional intakes for growth/development.

Machine learning accurately predicts food exchange list and the exchangeable portion

Introduction

Food Exchange Lists (FELs) are a user-friendly tool developed to help individuals aid healthy eating habits and follow a specific diet plan. Given the rapidly increasing number of new products or access to new foods, one of the biggest challenges for FELs is being outdated. Supervised machine learning algorithms could be a tool that facilitates this process and allows for updated FELs-the present study aimed to generate an algorithm to predict food classification and calculate the equivalent portion.

Methods

Data mining techniques were used to generate the algorithm, which consists of processing and analyzing the information to find patterns, trends, or repetitive rules that explain the behavior of the data in a food database after performing this task. It was decided to approach the problem from a vector formulation (through 9 nutrient dimensions) that led to proposals for classifiers such as Spherical K-Means (SKM), and by developing this idea, it was possible to smooth the limits of the classifier with the help of a Multilayer Perceptron (MLP) which were compared with two other algorithms of machine learning, these being Random Forest and XGBoost.

Results

The algorithm proposed in this study could classify and calculate the equivalent portion of a single or a list of foods. The algorithm allows the categorization of more than one thousand foods with a confidence level of 97% at the first three places. Also, the algorithm indicates which foods exceed the limits established in sodium, sugar, and/or fat content and show their equivalents.

Discussion

Accurate and robust FELs could improve implementation and adherence to the recommended diet. Compared with manual categorization and calculation, machine learning approaches have several advantages. Machine learning reduces the time needed for manual food categorization and equivalent portion calculation of many food products. Since it is possible to access food composition databases of various populations, our algorithm could be adapted and applied in other databases, offering an even greater diversity of regional products and foods. In conclusion, machine learning is a promising method for automation in generating FELs. This study provides evidence of a large-scale, accurate real-time processing algorithm that can be useful for designing meal plans tailored to the foods consumed by the population. Our model allowed us not only to distinguish and classify foods within a group or subgroup but also to perform the calculation of an equivalent food. As a neural network, this model could be trained with other food bases and thus improve its predictive capacity. Although the performance of the SKM model was lower compared to other types of classifiers, our model allows selecting an equivalent food not from a group previously classified by machine learning but with a fully interpretable algorithm such as cosine similarity for comparing food.

Food exchange list based on macronutrients: adapted for the Ecuadorian population

Background

Food exchange lists allow health professionals to generate healthy eating plans adapted to individual or population needs. The objective of this study was to develop the first food exchange list based on the macronutrients and energy provided by the various food groups of the Ecuadorian diet.

Methods

The list of Ecuadorian food exchanges was constructed by going through the following phases: (1) Selection of household measurements; (2) Selection of tables and databases of the nutritional composition of food items; (3) Definition of food groups and quantities; (4) Determination of the average energy and macronutrient values of each group; and (5) Photographic record. For the definition of food quantities, statistical criteria were applied according to a standard deviation of ±2SD; thus, for carbohydrates: ±5 g, total fat: ±2 g, and protein: ±3 g. To ensure the inclusion of the food items in the groups, a coefficient of variation of less than 30% and a Z value of ±2 were also considered.

Results

The list of food exchanges is presented with eight general groups according to the predominant nutrient (carbohydrates, proteins, or fats), and, where necessary, subgroups are included according to the second predominant nutrient. The list includes 404 food items with their photographic record, represented by their net weights and corresponding household measurement. All food items met the statistical criteria that help to reduce the variability of the nutritional composition of the food items in each group.

Conclusion

This is the first list of Ecuadorian food exchanges based on statistical criteria. It represents a novel tool for public health professionals as well as researchers. Resulting healthier eating plans may improve daily dietetic practice, facilitate better clinical trial designs and help establish guidelines according to Ecuador's cultural and dietary patterns. The described methodology can further be used to develop other food exchanges lists for patients with specific nutritional requirements.

Nutrition-Education-Based Interventions in Gestational Diabetes: A Scoping Review of Clinical Trials

Cases of diabetes mellitus have seen a global increase in prevalence, but there are inherent differences in the pathology and management of different types of diabetes. Type 2 and gestational diabetes have the most similar pathophysiology. For that reason, many similar management strategies exist between type 2 and gestational diabetes, including nutrition-based interventions. Diabetes self-management education and medical nutrition therapy have been advanced as cost-effective interventions to manage hyperglycemia. Many of these interventions, however, were designed for type 2 diabetes and adapted for diabetes in gestation. Nutrition-education-based interventions in gestational diabetes have not been fully elucidated. We scrutinized this gap by conducting a scoping review of recently published peer-reviewed studies that evaluated clinical endpoints in cases of gestational diabetes with nutrition-education-based interventions. The search yielded 621 articles, and the 12 articles included were published between 2012 and 2022. The nutrition information varied across the heterogeneous diabetes self-management education, whereas the medical nutrition therapy studies were more consistent. Our literature search revealed similar outcomes across self-management education and medical nutrition therapy interventions implemented during the third trimester of pregnancies with diabetes. These results suggest that both generalized and personalized approaches to nutrition education in gestational diabetes can manage hyperglycemia and offset its adverse consequences.

Development of a nutrition management software based on selected Middle Eastern and Mediterranean dishes to support personalized diet and weight management

The nutrient composition of 50 commonly consumed Jordanian food dishes was determined to support the development of a novel nutrition management system designed to assist with dietary intake assessment and diet management. Composite dishes were selected by interviewing households located in the northern region of Jordan. For each dish, five different recipes were collected from experienced chefs and the typical recipe was formulated based on the average weights of ingredients and net weight of the dish. Proximate composition as well as vitamin and mineral contents were determined and related to ingredient composition and cooking conditions. The newly created food composition database was used to develop a user-centric nutrition management software tailored to reflect the characteristics of the Jordanian diet with representative items from this diet. This novel nutrition management system is customizable, enabling users to build daily meal plans in accordance with personalized dietary needs and goals.

Innovative Nutrition Education: A Color-Coded Tool for Individuals with Low Literacy Level

(1) Background: The food exchange system was developed to serve as an educational tool in helping individuals plan their own meals. This study aimed to develop a friendly-user food exchange list for individuals with a low literacy level; (2) Methods: A two-group, pre-test/post-test research study aimed to develop a friendly-user food exchange list for individuals with a low literacy level. Thirty female workers of low literacy were recruited. Participants were divided into two groups. Group one was taught how to use the standard exchange system, while group two was taught how to use the modified exchange system. Each participant was assigned a task of prepare a meal with a specified caloric content and macronutrient distribution. The task was assigned before and after the exchange list education session. Groups’ differences were tested using the chi-square test, and the analysis of variance (ANOVA); (3) Results: A higher percentage of participants in group two were able to plan daily diets that achieved the recommendations of fruits (p = 0.02), protein (p = 0.03), dairy (p < 0.001), carbohydrates (p < 0.001), and calories (p < 0.001). Moreover, diet plans prepared by group two had a higher healthy eating index (p < 0.001) when compared to diet plans prepared by group one. The modified exchange lists are a friendly-user tool that can be implemented for individuals with low literacy, since it relies on visual techniques.

The Genetic Structure and East-West Population Admixture in Northwest China Inferred From Genome-Wide Array Genotyping

Northwest China is a contacting region for East and West Eurasia and an important center for investigating the migration and admixture history of human populations. However, the comprehensive genetic structure and admixture history of the Altaic speaking populations and Hui group in Northwest China were still not fully characterized due to insufficient sampling and the lack of genome-wide data. Thus, We genotyped genome-wide SNPs for 140 individuals from five Chinese Mongolic, Turkic speaking groups including Dongxiang, Bonan, Yugur, and Salar, as well as the Hui group. Analysis based on allele-sharing and haplotype-sharing were used to elucidate the population history of Northwest Chinese populations, including PCA, ADMIXTURE, pairwise Fst genetic distance, f-statistics, qpWave/qpAdm and ALDER, fineSTRUCTURE and GLOBETROTTER. We observed Dongxiang, Bonan, Yugur, Salar, and Hui people were admixed populations deriving ancestry from both East and West Eurasians, with the proportions of West Eurasian related contributions ranging from 9 to 15%. The genetic admixture was probably driven by male-biased migration- showing a higher frequency of West Eurasian related Y chromosomal lineages than that of mtDNA detected in Northwest China. ALDER-based admixture and haplotype-based GLOBETROTTER showed this observed West Eurasian admixture signal was introduced into East Eurasia approximately 700 ∼1,000 years ago. Generally, our findings provided supporting evidence that the flourish transcontinental communication between East and West Eurasia played a vital role in the genetic formation of northwest Chinese populations.

Development of a Lebanese food exchange system based on frequently consumed Eastern Mediterranean traditional dishes and Arabic sweets

Background: The important role of Mediterranean diet was elucidated in various clinical and epidemiological studies underlying its impact on reducing the burden of non-communicable diseases in Mediterranean and non-Mediterranean populations.

Objective: The aim of this study was to convert the recipes of the Lebanese traditional dishes into meal planning exchange lists whose items are expressed in grams and adjusted to Lebanese household measures (cups and spoons) that could be used by healthcare professionals.

Methodology: Thirty traditional Lebanese dishes were collected in which the carbohydrate, fat and protein were analyzed using Association of Official Analytical Chemists procedures then followed by a calculation of exchange lists of foods per serving using Wheeler method.

Results:  The variations in macronutrients and fiber content were found among the Lebanese dishes. Carbohydrate was lowest (1.1g/100g) and protein was highest (29.7g/100g) in Shawarma Dajaj whereas fat content ranged between 0.5 and 22.4 g/100 g in the dishes. For each dish and according to each serving size, carbohydrate, milk (whole milk, reduced fat or skim), fat and protein (lean meat, medium fat meat and high fat meat) exchanges were calculated.

Conclusion: This study provides healthcare professionals, dietitians and consumers the chance to proficiently plan traditional-type dishes, ensuring prominent dietetic and medical nutritional therapy practices and patient's self-control.

Development of a Sport Food Exchange List for Dietetic Practice in Sport Nutrition

Food exchange lists have been widely used in dietary practice in health and disease situations, but there are still no exchange lists for sports foods. The aim of this study was to apply a previous published methodology to design food exchange lists to the development of a sports food exchange list, with sport products available in Spain. A cross-sectional study of the nutritional composition of sports foods, regarding macronutrients and energy, was carried out. A total of 322 sports foods from 18 companies were selected, taking into account their interest in sports practice and with nutritional data provided by companies. Sports foods were divided into seven groups: sports drinks; sports gels; sports bars; sports confectionery; protein powders; protein bars; and liquid meals. A sports food composition database based on portion size usually consumed by athletes and/or recommended in commercial packaging was created. Within each sports foods group, different subgroups were defined due to differences in the main and/or secondary macronutrient. The definition of each exchange list with the amounts—in grams—of each sports food within each group and subgroup, was done using statistical criteria such as mean, standard deviation, coefficient of variation, and Z value. Final exchange values for energy and macronutrient have been established for each group and subgroup using a methodology to design food exchange lists previously published by the authors. In addition, those products with high Z values that can provide greater variability in dietary planning were included. The usefulness of sport foods lists as well as the use of an exchange system in the dietary practice of sports nutrition is discussed, and examples of how to use them with athletes are presented. This first sport foods exchange list showed in this study, with commercial sports products available in Spain, can be a novel tool for dietetic practice and also can allow sport nutrition professionals to develop another sport food list using the methodology described in this paper. Its management would allow dietitians to adapt dietary plans more precisely to the training and/or competition of the athlete.

Tabla de intercambios de alimentos para uso en pediatría

Introducción. Para el profesional en nutrición, las tablas de intercambios de alimentos (TAI) son una herramienta que permite cuantificar la ingesta de calorías y nutrientes y planear la alimentación de manera práctica.Objetivo. Diseñar una TAI para uso en pediatría que facilite la labor del nutricionista en esta población.Materiales y métodos. Estudio descriptivo transversal. La selección de los alimentos consumidos con mayor frecuencia se realizó de acuerdo con recordatorios de 24 horas y una tabla de composición de alimentos (TCA). Se determinaron los tamaños de intercambio de alimentos teniendo en cuenta las porciones del grupo etario. Después del análisis químico de los alimentos se determinaron las medidas caseras (p. ej. cucharada, cucharadita, taza, etc.) y se diseñó y se validó la TIA.Resultados. Se incluyeron 241 alimentos, los cuales se distribuyeron en 9 grupos y 4 anexos. Se tuvo en cuenta un nutriente principal para cada grupo y la medida casera se definió según las características de cada alimento. Se observó concordancia en la evaluación de consumo entre la TIA para uso en pediatría y la TCA (CCI>0.81).Conclusión. Se desarrolló una TIA para población pediátrica confiable que permitirá evaluar la alimentación y diseñar planes de alimentación en preescolares y escolares de manera práctica.

Developing a Food Exchange System for Meal Planning in Vegan Children and Adolescents

Vegan diets in children need to be adequately planned so they can safely meet children’s requirements for growth and development. Adequate and realistic meal planning guidelines should not be difficult to achieve, thanks to the increasing number and availability of natural and fortified vegan foods, which can help children to meet all their nutrients requirements. In order to ensure an adequate supply of key nutrients, families and health professionals need accurate, reliable, and easy-to-use meal planning tools. The aim of this article is to provide a practical approach system to meal planning, based on the same food exchange methodology that has been already published in adults. Daily portions of each food exchange group have been calculated so the resulting menu provides at least 90% of the Dietary Reference Intakes (DRIs) of protein, iron, zinc, calcium, and n-3 fatty acids for each age group, sex, and physical activity level. These diets do not provide enough vitamin B-12 and vitamin D. Although fortified plant drinks, breakfast cereals or plant protein-rich products could provide variable amounts of these two vitamins, B12 supplementation is always recommended and vitamin D supplementation should be considered whenever sun exposure is limited. This tool can be used to plan healthful and balanced vegan diets for children and adolescents.