Need and Importance of Nutrition Informatics in India: A Perspective.

Nutrition informatics (NI) is the effective retrieval, organization, storage, and optimum use of information, data and knowledge for food-and-nutrition-related problem-solving and decision-making. There is a growing opportunity to facilitate technology-enabled behavioral change interventions to support NI research and practice. This paper highlights the changing landscape of food and nutrition practices in India to prepare a NI workforce that could provide some valuable tools to address the double burden of nutrition. Management and interpretation of data could help clarify the relationships and interrelationships of diet and disease in India on both national and regional levels. Individuals with expertise in food and nutrition may receive training in informatics to develop national informatics systems. NI professionals develop tools and techniques, manage various projects and conduct informatics research. These professionals should be well prepared to work in technological settings and communicate data and information effectively. Opportunities for training in NI are very limited in developing countries. Given the current progress in developing platforms and informatics infrastructure, India could serve as an example to other countries to promote NI to support achieving SDGs and other public health initiatives.

A human centered approach to design a diet app for patients with metabolic syndrome.

BACKGROUND: The objective of this study was to utilize a human-centered approach in designing a diet app that would assist in management of patients with metabolic syndrome. METHODS: A convenience sample of 10 dietetic interns (DIs) who were attending their informatics rotation at the City University of New York School of Public Health and Health Policy (CUNY GSPHHP) were recruited during October 2017. The study was conducted in two phases. In phase 1, the DIs received a tutorial on the use of human-centered approach in designing mobile health applications. In phase 2, the DIs were provided a case study for which they designed an app for patients to manage metabolic syndrome using a human centered approach. The goal of phase 2 was to identify the features that were believed to be most important when designing this metabolic syndrome app. An initial questionnaire was administered to the DIs to gather information on their socio-demographics, prior training in nutrition, smart phone usage, perceptions about food logs, and calorie intake calculations. Subsequent questionnaires gathered information from the DIs on their preferred diet app components, app features, rankings of the features, and mock representations of the diet app with the selected features. RESULTS: The DIs were enrolled in the supervised practice component of their training to be Registered Dietitian Nutritionists (RDNs). Fifty percent of them had previously worked in a nutrition-related field. One-third of them were currently using a nutrition app. The top five features of the proposed diet app which the DIs identified as very important included (I) personalization of the app based on user preferences (80%, n=8); (II) disease specific education tips (90%, n=9); (III) ability to track progress (80%; n=8); (IV) reminders (70%, n=7) and (V) reinforcement based on user feedback (50%, n=5). In translating the identified features into functional requirements, majority of the DIs felt that the five key features identified should incorporate the following components: (I) personalization of the app should comprise information on medical factors, personal information, personal preferences, and recording weights; (II) disease specific educational tips should comprise information on food selections, low sodium options, and recipes for diabetes; (III) tracking progress should comprise features for storing audio files, viewing previous logs and uploading photos into a library; (IV) reminders should comprise daily messages to the users from the app; and (V) reinforcement should comprise provisions to enter motivational messages. CONCLUSIONS: Our study lends support to the need for utilizing human-centered design (HCD) approaches in developing e-health dietary apps as well other non-diet related apps. App developers are encouraged to incorporate user characteristics, needs and preferences using a HCD framework that will allow for reproducibility, tailoring, user satisfaction, and effectiveness assessments.

The Nutrition and Dietetics Workforce Needs Skills and Expertise in the New York Metropolitan Area.

BACKGROUND: There is an increased demand in the Nutrition and Dietetics field which has fostered credentialing to ensure competent graduates. The objective of this study is to conduct an exploratory analysis to identify nutrition/dietetics workforce needs, skills and expertise in the New York metropolitan area as exemplified in position announcements over a 4 year period. METHODS: We recorded position announcements for jobs in nutrition and dietetics from the New York State Registered Dietitian Yahoo group, and the Hunter College Nutrition and Food Sciences student and alumni listserv (NFS-L) over a 4 year period. Keywords were identified using job categories defined by the Academy of Nutrition and Dietetics (AND) compensation and benefits survey. This served as a starting point to enumerate the types of positions that have been posted for the New York metropolitan area in recent years. RESULTS: Four hundred and twelve (412) unique job postings were recorded. Various educational levels, credentials, and skills desired by these employers were identified, assessed, and compared with similar data from the "supply side" reports from AND. CONCLUSIONS: The credentials and skills most desired by employers are similar to some of the learning objectives set forth for DPD and DI programs by ACEND, but not entirely congruent. The need for both client/customer focus and computer literacy may be implicit in the standards, but a more overt inclusion of these skills would likely be of benefit to ensure these are inculcated into every program and student.

Harris-Benedict equation estimations of energy needs as compared to measured 24-h energy expenditure by indirect calorimetry in people with early to mid-stage Huntington's disease.

Weight loss and energy metabolism are important clinical research areas in understanding the disease mechanisms in Huntington's disease. Having an accurate method to estimate expected total energy expenditure would likely facilitate the development of studies about these features of the disease. The Harris-Benedict equation is a formula commonly used to estimate basal energy expenditure of individuals, adjusted for height, weight, age and gender. This estimate is then multiplied by a physical activity factor to estimate total daily energy needs to maintain the given weight. Data from 24-h indirect calorimetry was utilized to derive an adjustment formula for the physical activity factor of the Harris-Benedict equation for 13 early to mid-stage Huntington's disease patients. The adjusted activity factor provided the most accurate estimate of energy needs. This adjusted formula can be used in clinical assessments of Huntington's disease patients, as well as in research studies when indirect calorimetry has not been performed.

Energy balance in early-stage Huntington disease.

BACKGROUND: Huntington disease (HD) is a genetic neurologic disorder. Weight loss is common in HD and is related to progression of the disease, but the cause of weight loss remains unclear. OBJECTIVE: The study objective was to compare 24-h energy expenditure (EE) and energy intake in persons with early midstage HD with those of matched control subjects to determine how HD affects energy balance. DESIGN: EE was assessed in 13 subjects with early-stage HD and in 9 control subjects via indirect calorimetry in a human respiratory chamber. Energy intake was determined by weighing all food provided and all leftovers from an ad libitum diet. Body composition was measured via air-displacement plethysmography. Stage of disease was estimated on the basis of the Unified Huntington's Disease Rating Scale and modified Mini-Mental Status examinations. Regression analysis included all 13 HD subjects; t tests were used for the comparisons between matched HD and control subjects. RESULTS: 24-h EE was 11% higher in the HD subjects than in the control subjects (NS). This difference was due to a higher (P = 0.043) waking metabolic rate, which was related to a significantly greater displacement of the center of mass by HD subjects than by control subjects (P = 0.028). On average, both groups were in positive energy balance and exceeded their energy expenditure by 2510-2929 kJ. CONCLUSIONS: Higher 24-h EE in persons with early midstage HD is due to increased physical activity, both voluntary and involuntary. However, HD subjects are able to maintain positive energy balance when offered adequate amounts of food in a controlled setting.