Assessment Of Dietary Intake Research Articles

Implementation of Harmonized Food Consumption Data Collection in the Balkan Region According to the EFSA EU Menu Methodology Standards.

Initiatives in the Capacity Development in Nutrition Research in the Balkan region in the last decade have been toward the creation of contemporary, harmonized Research Infrastructure (RI) compliant with European standards. This study describes the process of creation and implementation of the European Food Safety Authority (EFSA) EU Menu methodology in the Balkan region during the EFSA support projects for food consumption data collection in four countries (Serbia, Montenegro, Bosnia and Herzegovina, and North Macedonia). This process entailed the application and improvement of an innovative tool, the DIET ASSESS and PLAN (DAP), a platform for standardized food consumption data collection and dietary intake assessment. DAP comprises computerized food consumption, anthropometric measurements, and physical activity questionnaires, validated food picture book, and FoodEx2 exposure hierarchy with sets of facet descriptors of the interest. It hosts the Balkan food platform with a Serbian food composition database (FCDB) and Regional FCDB, compliant with European Food Information Resource (EuroFIR™) standards. The implementation of the DAP platform in national dietary surveys conducted with the support of the EFSA EU Menu project in Balkan countries enabled harmonized food consumption data compilation and reporting. Application of the methodology entailed the development of study protocol and extensive education and training of study personnel. The entire data collection process was managed by internal and external survey coordinators. A pilot study was conducted to test the entire data collection and control process and was afterward used to make necessary improvements and adjustments to meet EU Menu requirements. Data collected are internationally comparable with food consumption data in other European countries within the framework of the EU Menu program. The existence of such data in the Balkan region will catalyze research activities in emerging topics, such as identification of dietary patterns, the establishment of national nutrient reference values and food-based dietary guidelines (not only in Serbia, but in the whole Balkan region), dietary exposure assessments, the endorsement and evaluation of new food legislations, the environmental and other effects of diet on the food system. The developed and implemented methodology underpins evidence-based policy-making processes lacking in the field of public health nutrition in the region.

A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania

Due to global advances in technology, image-based food record methods have emerged as an alternative to traditional assessment methods. The use of image-based food records in low and lower-middle income countries such as Tanzania is limited, with countries still using traditional methods. The current study aimed to determine the feasibility of using a new voice and image-based dietary assessment system (VISIDA) in Dar es Salaam, Tanzania. This mixed-method study recruited 18 nutritionists as participants who collected image-based records of food and drinks they consumed using the VISIDA smartphone app. Participants viewed an online demonstration of the VISIDA web platform and the analysis process for intake data collected using the VISIDA app. Then, participants completed an online survey and were interviewed about the VISIDA app and web platform for food and nutrient intake analysis. The method was reported as being acceptable and was found to be easy to use, although technical challenges were experienced by some participants. Most participants indicated a willingness to use the VISIDA app again for one week or longer and were interested in using the VISIDA system in their current role. Participants acknowledged that the VISIDA web platform would simplify some aspects of their current job. Image-based food records could potentially be used in Tanzania to improve the assessment of dietary intake by nutritionists in urban areas. Participants recommended adding sound-on notifications, using the VISIDA app in both Apple and Android phones, enabling installation from the app store, and improving the quality of the fiducial markers.

Malnutrition and Anemia: A Health Burden among Tea Garden Workers in West Tripura District, Tripura, India

Introduction: The tea garden workers are an underestimated group of our society and are considered to be the most nutritionally vulnerable community. This study was undertaken to study the nutritional status of the male and female tea garden workers of West Tripura district, Tripura, India. Methods: In this cross-sectional study, a total of 409 tea garden workers including both sexes (males: 197; females: 212) of age group 18–60 years were selected. A questionnaire for on-ground data collection was administered along with the assessment of dietary intake and dietary quality, anthropometric data measurements, physiological measurements, hematological and biochemical estimation. Results: Most of the workers were vegetarian, and about two-thirds of the participants consumed two meals per day. None of the subjects was in the habit of taking packed lunch in routine, and maximum respondents (males: 84.26%; female: 83.96%) were in the habit of keeping fast. Skipping meals was also common in a vast number of the participants (males: 83.24%; females: 84.90%). A maximum number of participants complained of anorexia, headache, breathlessness on exertion, lethargic feeling, pale conjunctiva, pale skin, and flat nails. A very high prevalence of anemia (males: 94.91%; females: 99.04%) was observed among the workers. The present study also revealed dietary inadequacies, particularly regarding protein, energy, calcium, and all micronutrients (iron, β-carotene, folic acid) except vitamin C. A positive significant (P < 0.05) correlation was observed between hemoglobin and various daily dietary intakes of blood-forming nutrients. Conclusion: The present study reveals the prevalence of anemia among tea garden workers, especially female workers. Nutritional insufficiency might be one of the important factors in this process. This study suggests that a comprehensive public health policy should be developed so that the tea garden workers’ health and nutritional needs can be addressed.

Characterizing patterns of dietary exposure using metabolomic profiles of human biospecimens: a systematic review.

Establishing diet-disease associations requires reliable assessment of dietary intake. With the rapid advancement of metabolomics,its use in identifying objective biomarkers of dietary exposure has substantially increased. The aim of our review was to systematically combine all observational studies linking dietary intake patterns with metabolomic profiles of human biospecimens. Five databases were searched - MEDLINE, Embase, Scopus, Web of Science, and Cochrane CENTRAL - to March 2020. Of the 14328 studies initially screened, 35 observational studies that met the specified inclusion criteria were included. All reviewed studies indicated that metabolomic measures were significantly correlated with dietary patterns, demonstrating the potential for using objective metabolomic measures to characterize individuals' dietary intake. However, similar dietary patterns did not always result in similar metabolomic profiles across different study populations. Metabolomic profiles reflect a multitude of factors, including diet, genetic, phenotypic, and environmental influences, thereby providing a more comprehensive picture of the impact of diet on metabolism and health outcomes. Further exploration of dietary patterns and metabolomic profiles across different population groups is warranted.

Dietary intake and risk assessment of elements for 1- and 2-year-old children in the Netherlands

In 2017, a total diet study (TDS) was conducted in the Netherlands to determine the intake of elements by 1- and 2-year-old children. Concentrations of 47 elements were analysed and long-term dietary intake was calculated for 24 elements. The 95th percentile (P95) intake estimates were compared with a tolerable daily or weekly intake (TDI or TWI) or tolerable upper intake level (UL), or a margin of exposure (MOE) was calculated. The P95 intake of cadmium and zinc exceeded the TWI or UL, respectively, and the P95 intake of inorganic arsenic and lead resulted in low MOEs. Food subgroups contributing most to the intake were “potatoes” for cadmium, “milk and milk-based beverages” for zinc, “concentrated fruit juices” and “rice” for inorganic arsenic, and “candies” for lead. For inorganic mercury, it could not be established if the intake was (too) high. P95 intake estimates of the other elements for which a risk characterisation could be performed were below the health-based guidance values. It was noted that the P50 intake estimate of manganese was a factor of 3 higher than the adequate intake level. Due to the absence of a UL, it is not clear if this intake is of concern.

Determinants of Obesity and Metabolic Health in the Afghan Population: Protocol, Methodology, and Preliminary Results

BackgroundNon-communicable diseases (NCDs) cause more than 70% of deaths worldwide and share modifiable risk factors including obesity and metabolic abnormalities. Over the past 15 years, many changes in lifestyle, dietary patterns, physical activity, and socioeconomic status have been observed in the Afghan population. This study aims to investigate which specific lifestyle factors, dietary patterns, and characteristics of Westernization are associated with an increased risk of being overweight or obese and with poor metabolic health in the Afghan population.MethodsA population-based cross-sectional study was conducted where a total of 729 male and female participants were recruited. Face-to-face interviews and anthropometric measurements were conducted by trained health staff using standardized questionnaires which included information on socio-demographic and housing characteristics, income, occupation, ethnicity, personal and family medical history, stress, anthropometry, diet, and physical activity. Bioelectric impedance analysis (BIA) was used to estimate body composition, including overall body fatness. Physical activity was measured using the short version of the International Physical Activity Questionnaire (IPAQ). For a comprehensive assessment of dietary intake, a food-frequency questionnaire (FFQ) specific to the Afghan population was developed which included all local food items relevant to the population. Lipid profile and fasting glucose were measured in a local laboratory. Biospecimens were collected using dried blood spots (DBS) and dried stool cards to perform microbiome and biomarker-based research.DiscussionThis is the first study which will assess dietary patterns, lifestyle factors, and their association with obesity and metabolic health in Afghanistan. Such a study will aid the development of dietary and lifestyle guidelines in Afghanistan which will promote better health and educate people to make healthy food choices. The findings will also help in designing and implementing effective public health strategies to promote a healthy lifestyle and prevent the epidemic of overweight and obesity, and, hence, reduce the burden of non-communicable diseases in the region.

Assessment of dietary intake by self-report in adult patients with type 1 diabetes treated with a personal insulin pump

Abstract Introduction Appropriate nutrition is an element affecting the metabolic control of patients with diabetes. There are only a few studies assessing the implementation of dietary recommendations in adult patients with type 1 diabetes; none of them assessed the implementation of nutritional standards. Our study aimed to assess the implementation of dietary recommendations and their relation to metabolic control in adults with T1DM treated with personal insulin pumps. Materials and Methods The study included 48 adult patients who were divided into two subgroups and compared, based on HbA1c above and below 6.5%. Each patient's nutrient, vitamin, and mineral intake was assessed on self-reported 3-day 24-hour surveys of food consumption. Records were introduced into the dietetic software DietaPro, (source: http://www.dietapro.eu/) which revealed nutrient content. We evaluated the percentage of patients with nutrient consumption below recommended values based on current recommendations. Results The studied population was characterized by insufficient consumption of most nutrients and vitamins: sodium, potassium, calcium, magnesium, iron, zinc, copper, iodine, manganese, vitamin A, vitamin D, vitamin E, thiamine, riboflavin, niacin, vitamin B6, folate, vitamin B12, vitamin C. Patients’ diet did supply correct amounts of phosphorus, and too much fatty acid and cholesterol. There were no statistically significant differences in most of the nutrient intakes across the two groups. Nevertheless, we observed a significant difference in the polyunsaturated fatty acids, sodium, niacin, and calcium intakes. Conclusions The studied patients consumed too much saturated fatty acid and dietary cholesterol. The consumption amounts of most nutrients and vitamins were associated with the risk of deficiency. The obtained results indicate the need for further dietary education for patients with T1DM.

Assessment of dietary nutrient intake and its relationship to the nutritional status of children with congenital heart disease in Guangdong province of China.

Congenital heart disease (CHD) is the common congenital malformations in children and cause malnutrition. We determine the association between dietary nutrient intake and nutritional status of children with CHD. 428 children of age 1-10 years with CHD admitted. The dietary nutrient intake was recorded after 3 days of 24-h recall. The growth and nutritional status of children were evaluated using anthropometric measurements and z-scores. The prevalence of malnutrition was 37.6% in CHD. 57.8%, 12.6%, 43.8%, and 40.6% of children did not meet their requirements for energy, protein, fat, and carbohydrate, respectively. The prevalence of insufficient intake was 88.3% for calcium, 35.9% for magnesium, 21.9% for iron, and 12.5% for zinc. 15%-86% of children did not meet vitamin requirements. 85.2% and 53.9% of children did not meet their requirements for vitamin A and vitamin C. The prevalence of insufficient intake was 39.1% for thiamin, 24.2% for riboflavin, 15.6% for niacin and 28.1% for vitamin E. Compared with the normal nutrition group, malnutrition group had a relatively lower intake of proteins, iron, zinc and vitamin E. An obvious deficiency of dietary nutrient intake was found among children with CHD, especially CHD with malnutrition. Dietary intake related to the nutritional status of children with CHD. The gap between actual consumption and recommendation indicates a need for improved nutritional counseling and monitoring. Early interventions targeting the dietary intakes of children with CHD may be a benefit for long-term effects associated with nutritional status.

Assessment of dietary quality and nutrient intake of obese children in Changwon area

Assessment of dietary quality and nutrient intake of obese children in Changwon area

Assessment of dietary carotenoid intake and biologic measurement of exposure in humans.

Carotenoids are a diverse family of phytochemicals with over 1000 different carotenoids present in nature. A human diet containing a variety of plant foods typically includes approximately 50 different carotenoids, although six (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein, and zeaxanthin) comprise over 90% of total carotenoid intake. Most carotenoids do not meet the definition of a nutrient, but several can be cleaved to form vitamin A and are important contributors to vitamin A nutriture and prevention of vitamin A deficiency. Large epidemiologic studies suggest that diets rich in total or specific carotenoids are associated with a reduced risk of several diseases including various types of cancer, cardiovascular disease, cognitive disorders, and age-related macular degeneration. However, accurate measurement of dietary intake is challenging and current methods of dietary assessment, including food frequency questionnaires, diet records and 24-h recalls, have strengths and limitations regarding estimating carotenoid intake. Additionally, carotenoid bioavailability from the diet is influenced by many variables including food processing and cooking, meal composition, and individual characteristics of the host including age, digestive efficiency, nutritional status and genetic polymorphisms. Carotenoids are deposited in many human tissues and can be measured using a variety of techniques including high performance liquid chromatography (HPLC) and mass spectrometry (MS). Continued research is necessary to improve dietary intake assessment and establish biologically relevant dose-response relationships in the context of individual variability to advance our understanding of diet, disease risk, and health promotion.

On integration of the iodine deficiency elimination and salt reduction programs

Excessive salt intake is a risk factor for noncommunicable diseases, but salt iodization is the most effective method of population-based prevention of iodine deficiency. Therefore, an assessment of dietary iodine intake from the use of iodized salt in the food industry and potential reductions in salt intake is needed. Objective. To assess the feasibility of integrating iodine deficiency prevention and salt reduction programmes among the adult population in the Republic of Belarus. Material and methods. Using the thiocyanate-nitrite method, the determination of iodine in various types of foods was carried out. Taking into account the actual dietary intake, estimated using the frequency method among 583 respondents over 18 years old, living in Minsk, from various socioeconomic groups, alimentary iodine intake was assessed at different levels of salt use in households. The level of iodine sufficiency was additionally estimated on the base of urinary excretion data obtained by the cerium-arsenite spectrophotometric method in 100 healthy adults over the age of 18 living in Minsk (65 women and 35 men). Results. As part of the legal framework for the use of iodized salt in food production, there has been a steady increase in iodine levels in the target products (bakery and meat products to 42.0 and 133.3 μg/100 g respectively). The content of the discussed micronutrient in the diet of the adult population has raised at least 1.9-fold in recent decades, to 237.3 μg/day in the most realistic consumption model. The main source of iodine among this subpopulation is commercially produced foods with iodized salt, which forms 30-58% of the alimentary iodine exposure. Consumption of salt in Belarus averages 10.6 g per day, which poses a risk of developing noncommunicable diseases and necessitates programmes to reduce the level of salt in the diet. Modeling of scenarios with reduction of salt use in households in accordance with the recommendations of the World Health Organization (WHO) shows that the main contribution to dietary iodine exposure will be made by bread products (38%), about 1/3 will be formed by table salt, the value of non-target fortified products (milk and eggs) will increase (up to 21%). The contribution of table iodized salt to the dietary iodine exposure reaches 43% at actual consumption levels and will decrease to 18% if it is reduced to the WHO recommended values. The median of ioduria among those surveyed is 136.8 μg/l, indicating adequate iodine supply. Conclusion. In implementing joint programs on prevention of iodine deficiency and cardiovascular diseases associated with excessive salt intake, it is necessary to consider national conditions - mandatory use of iodized salt in food industry, its level of fortification, content of this micronutrient in foodstuffs and structure of their consumption among certain population groups.

Beslenme ve Diyetetikte Yapay Zeka Uygulamaları

Artificial intelligence (AI) is a branch of computer science whose purpose is to imitate thought processes, learning abilities, and knowledge management. The increasing number of applications in experimental and clinical medicine is striking. An artificial intelligence application in the field of nutrition and dietetics is a fairly new and important field. Different apps related to nutrition are offered to the use of individuals. The importance of individual nutrition has also triggered the increase in artificial intelligence apps. It is thought that different apps such as food preferences and dietary intake can play an important role in health promotion. Researchers may have some difficulties such as remembering the frequency or amount of intake in assessment of dietary intake. Some applications used in the assessment of food consumption contribute to overcoming these difficulties. Besides, these apps facilitate the work of researchers and provide more reliable results than traditional methods. The apps to be used in the field of nutrition and dietetics should be developed by considering the disadvantages. It is thought that artificial intelligence applications will contribute to both the improvement of health and the assessment and monitoring of nutritional status.

Assessment of dietary intake, anthropometric measurements and hormonal levels in child bearing age women with polycystic ovary syndrome

<p><strong>Background and Objective:</strong> Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women of reproductive age. The prevalence of PCOS is higher among Pakistani women as they may have poor dietary habits. The objective of the study was to determine the dietary intake pattern, anthropometric measurement and hormonal levels in patients with PCOS.<br /><strong>Methods:</strong> A cross-sectional study was conducted among 160 women presenting at the Gynecology and Obstetrics Department of Jinnah Hospital, Lahore, Pakistan. PCOS was assessed using Rotterdam criterion. For each woman, its demographical data, anthropometric measurements, hormonal as well as dietary intake were taken and comparison was made between the PCOS and healthy women.<br /><strong>Results:</strong> There was no significant difference between the mean of the age, weight, height and body mass index between the PCOS group and the healthy women. Hirsutism, acne, weight gain, and sleep disturbance over past one year were higher in PCOS group whereas change in bowel habits was significantly higher (p < 0.05) in healthy controls over a year as compared to PCOS. In hormonal analysis, luteinizing hormone and testosterone were significantly higher (p < 0.05) in PCOS group than the healthy women. In dietary analysis, fiber, ash, Zinc and Riboflavin were significantly found greater (p < 0.05) among healthy controls in comparison to woman suffering from PCOS.<br /><strong>Conclusion:</strong> PCOS characterized with increased body weight, hirsutism, acne, and sleep disturbance is common in our women. Furthermore, it significantly correlates to lower intake of Fe and fiber while higher intake of more caloric diet from carbohydrates and fats in their daily routine.</p>

Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study.

BackgroundThe assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use.ObjectiveThe aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals.MethodsUsing a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests.ResultsParticipant recruitment commenced in March 2021 and is planned to be completed by the end of 2021.ConclusionsThis protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology.Trial RegistrationAustralian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2sInternational Registered Report Identifier (IRRID)DERR1-10.2196/32891

Macronutrient and micronutrient intake of individuals with diabetic foot ulceration: A short report.

Adequate nutrition is essential in individuals with diabetic foot ulceration (DFU); therefore, an assessment of dietary intake is critical. A lack of nutrients including protein, zinc and vitamins C and D have all been associated with poor wound healing. However, the comprehensive dietary intake of Australian adults with DFU is poorly understood. The aim of this cross-sectional study was to describe the dietary intake of adults with DFU in an Australian setting. Participants (n = 115) with diabetes (type 1 and 2), a mean body mass index of 36 and current foot ulceration were recruited from across New South Wales, Australia. Dietary intake was assessed using the Australian Eating Survey, a self-reported validated food frequency questionnaire. The mean (SD) reported energy intake was 9.57 (±SD 4.43) MJday-1 . A mean protein intake of 104 (±SD 49) gday-1 is below recommended intake for wound healing; however, the mean protein intake contribution to energy (19%E) was within recommendations for normal populations. The mean carbohydrate intake (43%E) was within recommended ranges for healthy populations; however, the mean total fat intake (36%E) was above recommendations. Micronutrient intake was adequate, apart from folate, which was below the recommended intake, and sodium, vitamin C, vitamin A and selenium, which were above the recommended intake. A lack of adequate folate may have a negative impact on healing, with folate proposed to play a role in tissue repair. Wound management of individuals with DFU should include a regular assessment of dietary intake to recognise deficiencies in macro- and micronutrients, and subsequently address these inadequacies to optimise healing.

Promoting Healthy Food Access and Nutrition in Primary Care: A Systematic Scoping Review of Food Prescription Programs.

ObjectiveTo conduct a scoping review to synthesize evidence on food prescription programs.Data SourceA systematic search of PubMed, CINAHL, Web of Science, Embase, and the Cochrane Library was conducted using key words related to setting, interventions, and outcomes.Study Inclusion and Exclusion CriteriaPublications were eligible if they reported food prescription administered by a health care practitioner (HCP) with the explicit aim of improving healthy food access and consumption, food security (FS), or health.Data ExtractionA data charting form was used to extract relevant details on intervention characteristics, study methodology, and key findings.Data SynthesisStudy and intervention characteristics were summarized. We undertook a thematic analysis to identify and report on themes. A critical appraisal of study quality was conducted using the Mixed Methods Appraisal Tool (MMAT).ResultsA total of 6145 abstracts were screened and 23 manuscripts were included in the review. Food prescriptions may improve fruit and vegetable consumption and reduce food insecurity (FI). Evidence for impacts on diet-related health outcomes is limited and mixed. The overall quality of included studies was weak. Addressing barriers such as stigma, transportation, and poor nutrition literacy may increase utilization of food prescriptions.ConclusionFood prescriptions are a promising health care intervention. There is a need for rigorous studies that incorporate larger sample sizes, control groups, and validated assessments of dietary intake, food security, and health.

Dietary diversity score is inversely related to the risk of polycystic ovary syndrome in Tehranian women: a case-control study.

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among women of reproductive age and is affected by various dietary factors. Therefore, this study aimed to investigate the relationship between dietary diversity score (DDS) and the risk of PCOS. Our case-control study was conducted in the summer and autumn of 2019 in Taleghani and Arash hospitals in Tehran, Iran. A total of 494 participants (203 cases and 291 controls) were included in the study. Thereafter, their demographic information, dietary intake, and anthropometric and physical activity assessments were gathered. A validated semi-quantitative food frequency questionnaire was then used to calculate the DDS by scoring 5 food groups. To evaluate the risk of PCOS in association with DDS, the subjects were categorized based on the quartile cut-off points of the DDS. The mean ± SD age of the participants in both the case and control groups was 28.98 ± 5.43 and 30.15 ± 6.21 years, while mean ± SD body mass index was 25.74 ± 5.44 and 23.65 ± 3.90 kg/m2, respectively. The comparison between the case and control groups indicated that total DDS was 5.19 ± 1.19 for the cases and 5.51 ± 1.19 for the controls. The comparison of DDS in the highest versus the lowest quartiles showed a decreased risk of PCOS (p < 0.05). We demonstrated an inverse association between DDS and PCOS compared with the control group. Furthermore, a higher DDS was significantly associated with a lower risk of PCOS (odds ratio = 0.40). Novelty: This is the first investigation on the relationship between DDS and PCOS. Results depicted an inverse relationship between DDS and PCOS.

Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study.

BackgroundSelf-monitoring food intake is a cornerstone of national recommendations for health, but existing apps for this purpose are burdensome for users and researchers, which limits use.ObjectiveWe developed and pilot tested a new app (COCO Nutritionist) that combines speech understanding technology with technologies for mapping foods to appropriate food composition codes in national databases, for lower-burden and automated nutritional analysis of self-reported dietary intake.MethodsCOCO was compared with the multiple-pass, interviewer-administered 24-hour recall method for assessment of energy intake. COCO was used for 5 consecutive days, and 24-hour dietary recalls were obtained for two of the days. Participants were 35 women and men with a mean age of 28 (range 20-58) years and mean BMI of 24 (range 17-48) kg/m2.ResultsThere was no significant difference in energy intake between values obtained by COCO and 24-hour recall for days when both methods were used (mean 2092, SD 1044 kcal versus mean 2030, SD 687 kcal, P=.70). There were also no significant differences between the methods for percent of energy from protein, carbohydrate, and fat (P=.27-.89), and no trend in energy intake obtained with COCO over the entire 5-day study period (P=.19).ConclusionsThis first demonstration of a dietary assessment method using natural spoken language to map reported foods to food composition codes demonstrates a promising new approach to automate assessments of dietary intake.

A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment.

Dietary studies showed that dietary problems such as obesity are associated with other chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of heart attacks. The primary cause of these problems is poor lifestyle choices and unhealthy dietary habits, which are manageable using interactive mHealth apps. However, traditional dietary monitoring systems using manual food logging suffer from imprecision, underreporting, time consumption, and low adherence. Recent dietary monitoring systems tackle these challenges by automatic assessment of dietary intake through machine learning methods. This survey discusses the best-performing methodologies that have been developed so far for automatic food recognition and volume estimation. Firstly, the paper presented the rationale of visual-based methods for food recognition. Then, the core of the study is the presentation, discussion, and evaluation of these methods based on popular food image databases. In this context, this study discusses the mobile applications that are implementing these methods for automatic food logging. Our findings indicate that around 66.7% of surveyed studies use visual features from deep neural networks for food recognition. Similarly, all surveyed studies employed a variant of convolutional neural networks (CNN) for ingredient recognition due to recent research interest. Finally, this survey ends with a discussion of potential applications of food image analysis, existing research gaps, and open issues of this research area. Learning from unlabeled image datasets in an unsupervised manner, catastrophic forgetting during continual learning, and improving model transparency using explainable AI are potential areas of interest for future studies.

Assessment of Dietary Folate Intake and Pill Burden among Saudi Patients on Maintenance Hemodialysis.

The aim of this study was to assess the adequacy of dietary folate intake and perceptions of pill burden among Saudi patients on maintenance hemodialysis (MHD). This was a cross-sectional study of adults (>18 years) on MHD (>3 months) attending the dialysis unit at King Saud University Medical City. Patient demographics, dietary folic acid intake, and perceptions of pill burden were collected. Fifty-four patients met the eligibility criteria, with a mean age of 57 ± 15.5 years. The majority were females (63%), and the most prevalent comorbidities were diabetes (43%) and hypertension (76%). The average number of medications/patients was 11 ± 2.9, and most patients were receiving folate supplementation (68.5%). The average dietary folate intake was 823 ± 530 mcg/day. Pill burden was bothersome, primarily due to taking too many medications (57%) while taking medications at the workplace was the least bothersome burden (17%). The reported high pill burden and adequate dietary folate intake by Saudi patients on MHD indicates that the omission of folate supplementation may be advantageous for this special population.