scholarly journals Testing the Validity of a Natural Spoken Language Application for the Self-Monitoring of Daily Dietary Intake (P13-035-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rachel Silver ◽  
Mandy Korpusik ◽  
Salima Taylor ◽  
Sai Das ◽  
Cheryl Gilhooly ◽  
...  
Keyword(s):  
Pilot Study ◽  
Dietary Intake ◽  
Energy Intake ◽  
Reference Method ◽  
Spoken Language ◽  
Self Monitoring ◽  
Daily Dietary Intake ◽  
Dietary Recall ◽  
Language Technology ◽  
Significant Difference

Abstract Objectives Self-monitoring daily dietary intake is recommended for weight loss, weight maintenance, and healthy eating. However, current tracking methods are often burdensome and result in short-term use. We conducted a pilot study to evaluate the accuracy of a new application designed to self-monitor dietary intake using natural spoken language (COCO; The Conversational Calorie Counter). Methods A total of 14 participants were recruited for the pilot study. They were instructed to record daily dietary intake using the COCO application for at least five consecutive days. Two unscheduled 24-hour dietary recalls were conducted between day 3 and day 5 as the reference method for evaluating total energy intake (TEI). The two-day energy estimates were averaged for each assessment method. Pearson's correlation coefficient was used to assess the validity of the COCO application. Estimates of TEI from COCO were compared to the 24-hour dietary recall by a paired samples t-test. Results Participants were primarily female (86%), with an average body mass index of 22.2 ± 1.8 kg/m2 (mean ± standard deviation). On average, participants consumed three daily meals and recorded dietary intake for six days using the COCO application. The average TEI was 1782 ± 773 kcal for all recorded days (range: 4 to 10). The mean TEI measured by 24-hour dietary recall was 1791 ± 862 kcal, and mean TEI measured by COCO for the corresponding days was 1818 ± 916 kcal. We observed a significant correlation between the assessment methods (r = 0.58; P = 0.03), and there was no significant difference in TEI estimates from COCO compared to the 24-hour recall (P = 0.90). Conclusions These results suggest that natural spoken language technology can be used in applications that facilitate self-monitoring of food intake to support weight management and the prevention of noncommunicable diseases. The significant correlation between estimates of TEI from COCO and the 24-hour dietary recall indicates the potential validity of this novel approach for capturing dietary data and assessing energy intake. Funding Sources Sponsored by the National Institutes of Health (R21HL118347), the U.S. Department of Agriculture with Tufts University (58–1950-4–003), Quanta Computing, Inc., and the Department of Defense (National Defense Science Engineering Graduate Fellowship Program).

scholarly journals Comparison of Energy Intake Determined by a Natural Spoken Language Application with 24-h Recall

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1694-1694
Author(s):  
Salima Taylor ◽  
Mandy Korpusik ◽  
Rachel Silver ◽  
Sai Krupa Das ◽  
Cheryl Gilhooly ◽  
...  
Keyword(s):  
Weight Loss ◽  
Pilot Study ◽  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Reference Method ◽  
Spoken Language ◽  
Assessment Method ◽  
Daily Dietary Intake ◽  
Language Technology

Abstract Objectives Self-monitoring daily dietary intake is recommended for weight loss and weight loss maintenance. However, current online platforms and applications are often burdensome, which may limit use. We conducted a pilot study to evaluate the accuracy of a new application designed to self-monitor dietary intake using natural spoken language (COCO; The Conversational Calorie Counter). Methods A total of 35 participants were enrolled in this pilot study. Participants were asked to record daily dietary intake using the COCO application for a period of at least five days. Two 24-hour dietary recalls were conducted during this time, between day three and day five, and served as the reference method for evaluating total energy intake (TEI; measured in kcal). Mean two-day energy intake was calculated for each assessment method for the days when the 24-hr recall and COCO data were collected. Self-reported TEI from COCO were compared to estimates obtained from the 24-hour dietary recalls by a paired samples t-test and a Pearson's correlation coefficient. Results On average, participants consumed three meals a day and recorded six days of food intake days with COCO (range: 4 to 10 days). The mean TEI was not significantly different between the two methods (1902 ± 621 kcal by 24-hour dietary recall and 1988 ± 1033 kcal by COCO, P = 0.59). There was a significant correlation between mean TEI measured with the two methods (r = 0.45; P = 0.006). In addition, a strong correlation was observed between the number of food items logged in COCO and those recalled in the 24-hour diet recalls (r = 0.82; P >0.0001). Completion of the exit survey by 28 participants indicated that 43% would definitely or probably use the application again. Conclusions These results suggest that natural spoken language technology may have utility in applications to self-monitor food intake. Additional research is required to fully elucidate the validity of COCO in estimating dietary intake. Funding Sources This research was supported by the NIH Grant # 1R21HL118347–01 (SBR and JG), Quanta Computing, Inc., and the National Defense Science and Engineering Graduate fellowship.

Short Paper: Use of Natural Spoken Language with Automated Mapping of Self-Reported Food Intake to Food Composition Data for Low-Burden Real-Time Dietary Assessment (Preprint)

2021 ◽  
Author(s):  
Salima Taylor ◽  
Mandy Korpuski ◽  
Sai Das ◽  
Cheryl Gilhooly ◽  
Ryan Simpson ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Dietary Assessment ◽  
Spoken Language ◽  
Assessment Method ◽  
Food Composition ◽  
Short Paper ◽  
Self Monitoring ◽  
Significant Difference

BACKGROUND Self-monitoring food intake is a cornerstone of national recommendations for health, but existing applications are burdensome, which limits use. OBJECTIVE We 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. METHODS COCO was compared with the multiple-pass, interviewer-administered 24h-recall method for assessment of energy intake. COCO was used for five consecutive days, and 24-h 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 Body Mass Index of 24 (range 17-48) kg/m2. RESULTS There was no significant difference in energy intake between values obtained by COCO and 24-h recall for days when both methods were used (2092 +/- 1044 [SD] versus 2030 +/- 687 [SD], P=0.70). There was also no differences between the methods in the percent of energy from protein, carbohydrate and fat (P=0.27-0.89), and no trend in energy intake obtained with COCO over the entire 5-day study period (p=0.186). CONCLUSIONS This 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. CLINICALTRIAL N/A

scholarly journals PO-085 Investigation and assessment of nutritional status among Chinese elite artistic swimming athletes

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Liang Li ◽  
Jianfang Xu ◽  
Huayu Fang ◽  
Xiaojing Wang
Keyword(s):  
Nutritional Status ◽  
Dietary Intake ◽  
Energy Intake ◽  
Nutritive Value ◽  
Female Athletes ◽  
Early Morning ◽  
Fat Percentage ◽  
Food Material ◽  
Dietary Recall ◽  
Waist Hip Ratio

Objective The sport of artistic swimming is unique which requires a mixture of endurance, power, acrobatics, flexibility, and eurhythmics to produce an artistic performance. Optimal nutrition plays an important role in attaining high level of achievements for artistic swimming athletes, a poor nutritional status will significantly affect their health, athletic performance and post-exercise recovery. However, the assessment of nutritional status among artistic swimming athletes is very lack. The purpose of present study was to assess the nutritional status of Chinese elite artistic swimming athletes and provide suggestions for them to modify their dietary structures. Methods During the summer training season before the 17th FINA World Championships, 17 Chinese elite artistic swimming female athletes participated in this study. After an overnight fast, the anthropometric data including height, weight, BMI, body fat percentage (BF%), and waist/hip ratio were collected in the early morning around 7 a.m. before breakfast. The 24 hours dietary recall was used to collect dietary intake data of individuals, the athletes were required to record their daily dietary intake in the structured questionnaire for 2 work days and 1 weekend day. During data processing, the cooked foods were converted into raw amounts of each food material by standardized recipe method, and the nutritive value was calculated by using a dietary nutrients analysis software. Results The athletes were 19.6±1.7 years old and their training age was 10-12 years. The athletes’ BMI was 18.3±1.4 kg/m2, their BF% and waist/hip ratio was 16.6±2.6% and 0.85±0.02 respectively. Even the athletes’ body composition level was in the normal range, the BMI and BF% were lower than Russia and Spain artistic swimming athletes. The daily energy intake was 1528±276 kcal which was composed of 435±50 kcal breakfast, 477±62 kcal lunch, 402±49 kcal supper, and 214±22 kcal snacks. However, the energy intake was much lower than the recommendation of 3500 kcal/day. Carbohydrates provided approximately 51% of total energy which was lower than the practical demands, but both fats and proteins provided more energy (31.3% and 17% respectively) than the recommendations. In addition, the supplementation of many important vitamins and minerals, except vitamin E and sodium, were not reached the recommended level, for example, the consumption of vitamin C and calcium was only 46±12 mg and 430±72 mg per day. Conclusions The data showed that the nutritional status was unsatisfactory among Chinese elite artistic swimming female athletes, the dietary energy intake and many important vitamins and minerals were much lower than the recommendations. In order to keep healthy and increase the exercise performance, it was suggested that the artistic swimming athletes should modify their dietary structures to supply more energies, vitamins and minerals according to their physical conditions and training arrangements.

scholarly journals Determinants of energy intake in Central African populations experiencing nutrition transition

2021 ◽  
pp. 1-26
Author(s):  
Norbert Amougou ◽  
Patrick Pasquet ◽  
Jonathan Y. Bernard ◽  
Amandine Ponty ◽  
Martin Fotso ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Dietary Patterns ◽  
Nutrition Transition ◽  
Central Africa ◽  
Sociodemographic Factors ◽  
Rapid Urbanization ◽  
Dietary Recall ◽  
African Populations ◽  
Living Area

Abstract Central Africa is experiencing rapid urbanization and this situation comes along with changes in food habits and an increased prevalence of obesity and associated health risks. Factors influencing dietary intake among the diverse African populations are not well understood. Our objective was to characterize the dietary intake and their determinants in the two main ethnic groups experiencing nutrition transition in Cameroon, the Bamiléké and the Béti. We sampled Bamiléké (381) and Béti (347) adults living in both rural and urban, collected sociodemographic variables, assessed dietary patterns by using a food portion photographs book to administrate a food frequency questionnaire (FFQ) and a 24–hour dietary recall technique, and derived their Body Mass Index (BMI) from measured weight and height. The dietary patterns of Bamiléké people were comprised of more energy-dense foods than the Béti people, regardless of the living area. The energy intake (13·8 (SD 4·6)–15·4 (SD 4·8) MJ vs 9·7 (SD 3·5)–11·2 (SD 3·9 MJ) and the obesity (15–29 % vs 5–8 %) were therefore higher in Bamiléké than in Béti respectively. Multivariable linear regression analyses showed strong associations of both ethnicities (4·02 MJ; P <0·001), living area (0·21 MJ; P <0·001), and education (0·59 MJ; P <0·048) with energy intake (EI), independently of each other and other sociodemographic factors. The ethnicity factor has been characterized as the more important determinant of diet. Our findings provide new insights and perspectives highlighting the importance of anthropological factors when building prevention campaigns against obesity in Central Africa.

Comparison of Dietary Intake and Eating Behavior of Professional Road Cyclists during Training and Competition

2000 ◽  
Vol 10 (1) ◽  
pp. 82-98 ◽  
Author(s):  
Pablo M. García-Rovés ◽  
Nicolàs Terrados ◽  
Serafina Fernández ◽  
Angeles M. Patterson
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Eating Behavior ◽  
Protein Intake ◽  
Eating Habits ◽  
High Energy ◽  
Eating Pattern ◽  
High Intensity Training ◽  
Significant Difference ◽  
Road Cyclists

The dietary intake and eating behavior of a group of professional elite road cyclists during high intensity training and competition was compared. Their eating pattern consisted of several snacks throughout the race or training, a meal eaten no later than 1 hr postexercise, supper, and breakfast. Protein intake showed a significant difference between evaluation times expressed in three ways: per total amount intake, by kg body weight, and percentage of energy supplied. Due to the high energy intake of these cyclists during training and competition (22.9 ± 1.5, 22.4 ± 1.7 MJ, respectively), they presented a high consumption of each macronutrient both in competition and in training. The eating behavior of these athletes was similar during breakfast (possibility to choose from among approximately 25 foods) and supper (set menu), with variation in the energy intake and a similar relative contribution of the different macronutrients. In general, it is possible to consider the professional road cyclists as a homogeneous group with a similar nutrition intake, eating habits, and nutritional needs throughout the more demanding periods of the season. Furthermore, differences found in protein intake between periods could not be explained by differences in the food available in competition and training periods.

scholarly journals The Most Frequently Consumed and the Largest Energy Contributing Foods of U.S. Insulin Takers Using NHANES 2009–2016

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 426-426
Author(s):  
Luotao Lin ◽  
Fengqing Zhu ◽  
Edward Delp ◽  
Heather Eicher-Miller
Keyword(s):  
Dietary Intake ◽  
Total Energy ◽  
Nutrition Education ◽  
Energy Intake ◽  
Dietary Assessment ◽  
Soft Drinks ◽  
Total Energy Intake ◽  
Food Category ◽  
Dietary Recall ◽  
Chicken Egg

Abstract Objectives Insulin takers’ diets have rarely been described although insulin dosing is highly dependent on dietary intake. The objective was to determine the most frequently consumed food or beverage items, food subcategories, and food categories, and items that contributing most to total energy intake among U.S. adult insulin takers compared with those with type 2 diabetes without taking insulin (T2D w/o insulin) and those without diabetes. Methods Fasting plasma glucose and hemoglobin A1c concentration from the laboratory tests and diabetic and insulin taking status from questionnaires in the National Health and Nutrition Examination Survey 2009–2016 classified 907 insulin takers, 2 758 T2D w/o insulin, and 34 360 participants without diabetes. U.S. Department of Agriculture Food codes of each item reported in the first reliable 24-hour dietary recall, were categorized by food subcategory and category based on What We Eat in America categories. Raw and weighted frequency and energy contributions of each food item, food subcategory, and food category were calculated and ranked. Results Diet soft drinks ranked 4th and 7th most consumed food subcategory in insulin takers and T2D w/o insulin, respectively. Soft drinks ranked 8th and 6th most consumed food subcategory in T2D w/o insulin and those without diabetes, and contributed 5th and 2nd most to energy, respectively (2.75% and 3.85% of total energy intake, respectively). Eggs and cold cuts were uniquely reported in insulin takers’ top 10 most consumed food subcategory list. Protein foods represented 4 rankings in insulin takers’ top 10 highest energy contributing food subcategory list including chicken, egg, meat dishes, and cold cuts (10.42% of total energy intake), 3 rankings in T2D w/o insulin list including chicken, egg, and meat dishes (7.22% of total energy intake), and only chicken for those without diabetes (2.70% of total energy intake). Conclusions Differences in dietary intake may exist among U.S. adults by diabetic status. Insulin takers are likely to consume more protein foods and less soft drinks compared to those with T2D w/o insulin and those without diabetes. Lists of the most frequently consumed foods and foods contributing most to energy may be helpful for nutrition education, prescribing diets, and technology-based dietary assessment for insulin takers. Funding Sources Eli Lilly and Company.

scholarly journals Relative Validity of MijnEetmeter: A Food Diary App for Self-Monitoring of Dietary Intake

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1135
Author(s):  
Marga Ocké ◽  
Ceciel Dinnissen ◽  
Annette Stafleu ◽  
Jeanne de Vries ◽  
Caroline van Rossum
Keyword(s):  
Dietary Intake ◽  
Food Consumption ◽  
Sodium Intake ◽  
Prior Experience ◽  
Food Groups ◽  
Food Diary ◽  
Self Monitoring ◽  
Relative Validity ◽  
Cereal Products ◽  
Dietary Recall

This study aimed to evaluate the relative validity of intake of energy, nutrients and food groups assessed with MijnEetmeter food diary as compared to 24-h dietary recalls, and if this differed between experienced and new users. One hundred men and women aged 18–70 y participated, of whom 47 had prior experience with the tool. Participants kept MijnEetmeter on three days. Trained dietitians called them three times for a 24-h dietary recall interview, once recalling food consumption on the same day as the food recording in MijnEetmeter. Systematic differences and correlations were assessed, and Bland–Altman plots were created; both for 3-day mean intakes and for intakes on the same day. Relative to 24-h dietary recalls, MijnEetmeter underestimated consumption of drinks, added fat, cereal products, and potatoes. Relative underestimation was observed for energy intake (6%) and about half of the nutrients. Experienced MijnEetmeter users underestimated intake the least. For intake of energy and six key nutrients, correlations between 3-day mean intakes were above 0.7 except for sodium intake. In conclusion, MijnEetmeter moderately underestimates intakes of energy and some nutrients and food groups. To improve the self-monitoring of dietary intake, it is recommended that the users record food consumption for several days and that the apps probes for easily forgotten foods and drinks.

Effect of Concentration of Trisodium Citrate Anticoagulant on Calculation of the International Normalised Ratio and the International Sensitivity Index of Thromboplastin

1994 ◽  
Vol 72 (01) ◽  
pp. 084-088 ◽  
Author(s):  
E M Duncan ◽  
C R Casey ◽  
B M Duncan ◽  
J V Lloyd
Keyword(s):  
Reference Material ◽  
Oral Anticoagulants ◽  
Reference Method ◽  
Trisodium Citrate ◽  
Sensitivity Index ◽  
Blood Samples ◽  
Orthogonal Regression ◽  
Significant Difference ◽  
International Normalised Ratio ◽  
International Sensitivity Index

SummaryThe aim of this study was to determine whether the concentration of trisodium citrate used to anticoagulate blood has an effect on the INR of the sample and the ISI of the thromboplastin. Five thromboplastins including and Australian reference material were used to measure the prothrombin time of normal and patient samples collected into two concentrations of trisodium citrate - 109 mM and 129 mM. There was no effect of citrate concentration on the INRs determined with the reference material. However for the other four thromboplastins there was a significant difference between INRs for the two citrate groups. The prothrombin times of the samples collected into 129 mM were longer than those collected into 109 mM. This difference was only slight in normal plasma but more marked in patients receiving oral anticoagulants, causing the INRs for patient plasmas collected into 129 mM citrate to be higher then the corresponding samples collected into 109 mM citrate.From orthogonal regression of log prothrombin times by the reference method against each thromboplastin, we found that the ISI for each thromboplastin was approximately 10% lower when determined with samples collected into 129 mM citrate than with samples collected into 109 mM. These results suggest that the concentration of trisodium citrate used for collection of blood samples can affect the calculation of the INR and the calibration of the ISI of thromboplastin. This was found both for commercial thromboplastins prepared by tissue extraction and for a recombinant tissue factor.

Comparison of Estimated Daily Dietary Intake of Dioxins in Coastal, Rural, and Urban District

2008 ◽  
Vol 37 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Jung-Duck Park ◽  
Ming-Ai Huang ◽  
Ruth Im ◽  
Byung-Sun Choi ◽  
Jae-Ho Yang ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Urban District ◽  
Daily Dietary Intake ◽  
Rural And Urban

Personalized Behavioral Nutrition Intervention in Older Asian Americans with Type 2 Diabetes during COVID-19 Pandemic: Study Protocol for a Pilot, Hybrid, Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Jisook Ko ◽  
Yan Du ◽  
Rozmin Jiwani ◽  
Chengdong Li ◽  
Jing Wang
Keyword(s):  
Type 2 Diabetes ◽  
Clinical Trials ◽  
Pilot Study ◽  
Glycemic Control ◽  
Asian Americans ◽  
Control Group ◽  
Management Approach ◽  
Self Monitoring ◽  
Behavioral Nutrition

BACKGROUND The COVID-19 pandemic has challenged the in-person-based self-management approach (i.e., face-to-face or group approach) of type 2 diabetes (T2D). Older adults with T2D, including Asian Americans (AAs), have experienced worsening of diabetes control due to various reasons, including uncertainty of continuous access to essential diabetes medications, devices, education, limited health literacy, as well as constant anxiety and stress. Hybrid clinical trials that incorporate virtual elements into the in-person-based study could provide these vulnerable populations with accessible and timely interventions OBJECTIVE The primary aims of this pilot study are to determine (1) the effect of personalized behavioral nutrition (PBN) intervention on glycemic control, weight control, and metabolites profiles; and (2) the acceptability of PBN. to enhance glycemic control using personalized behavioral nutrition. METHODS Participants will be recruited with a web-based registry, advertisements in ethnic newspapers, and social network services popular among AAs. A total of 60 AAs, aged 65 years or older, who are descendants of Chinese, Korean, or South Asian, and have a diagnosis of T2D will be randomized into two groups: a PBN group (n=30) and a control group (n=30). A 4-week PBN intervention comprises three components: 1) digital self-monitoring; 2) personal nutrition change goals and recommendations; and 3) diabetes nutrition educations. All participants will complete digital self-monitoring on diet, physical activity, and blood glucose. In addition, all participants will access an interactive digital platform to track their self-monitoring data and communicate with the research team. The effectiveness and acceptability of implementing the intervention will be assessed. RESULTS Funding support and institutional review board approval for this study have been secured. Data collection started in August 2020 and is ongoing. CONCLUSIONS To our knowledge, this is the first study to determine the effectiveness and acceptability of PBN utilizing a metabolomics approach and digital-assisted intervention with hybrid RCT among older AAs. The findings of this pilot study will inform the development of a full-scale PBN protocol and hybrid clinical trials that can be adapted for people with T2D in the ongoing pandemic.

Sign in / Sign up

Export Citation Format

Share Document