NI Projects
Design and Evaluate a Personalized Human Centred Dietary Decision Support System for use among diabetics in an Indian Setting
The objective of this ICMR funded collaborative project with Dr Rajendra Prasad Medical College is to examine the usefulness and effectiveness of a telephone-based system to support dietary self-management among diabetic patients in urban and rural settings in a randomized controlled clinical trial over a period of 2 years. The goal of the study is to enhance diet related Knowledge, attitudes and practice among diabetic patients.
Quality and readability of online-based consumer health information about Metabolic Syndrome using DISCERN and Flesch-Kincaid Tools: An Evaluation Study
The objective of this study was to evaluate the quality and readability of health information on the internet about Metabolic Syndrome.The websites were gathered using keywords “Metabolic syndrome”, “Metabolic syndrome causes”, “Metabolic syndrome diagnosis”, “Metabolic syndrome prevention”, and “Metabolic syndrome management” on the search engine Google. Twenty-six unique websites were evaluated. The mean DISCERN score (out of 80) for all websites was 56.51 ± 7.50 suggesting ‘good’ quality. Nine websites had excellent quality. The information available on the internet websites was difficult to read and can be comprehended by people achieving approximately US Grade 10.
Assessment of Quality and Readability of Osteoporosis related health information on the Internet using DISCERN and Flesch-Kincaid Tools
The study assessed the quality and readability of health information on the internet on Osteoporosis. Keywords used in the Google search engine were “Osteoporosis”, “Osteoporosis causes”, “Osteoporosis diagnosis”, “Osteoporosis prevention”, and “Osteoporosis management”. Validated tools DISCERN and Flesch-Kincaid were used to assess the quality and readability. In total 41 unique websites were evaluated. The mean DISCERN score (out of 80) was 52.35±6.90 (Good quality). The average DISCERN score was the highest for the .gov websites. Only one website had an excellent quality of information. Overall, the information available on the internet was difficult to read with a readability grade above seventh grade.
Evaluation of quality and readability of diabetes-related online health information using DISCERN and Flesch-Kincaid Tools
The study aimed to evaluate the quality and readability of diabetes-related online health information. Webpages were gathered by using the keywords “Diabetes mellitus”, “Diabetes mellitus causes”, “Diabetes mellitus diagnosis”, “Diabetes mellitus prevention”, and “Diabetes mellitus management” on Google. Previously validated DISCERN and Flesch-Kincaid Tools were used by the four raters to assess 37 unique websites. Overall DISCERN score (out of 80) for 37 included websites was 49.40 ± 5.83 denoting ‘fair’ quality of information. The .org websites were of good quality (52.2 ± 5.82). Sixteen websites had a good quality of information. Out of the 37 selected websites, only 14 (37.84%) of the websites had HONcode labels. The information available on the internet regarding diabetes was difficult to read and could be comprehended by individuals who achieved approximately US Grade 10th.
Public health system and the covid-19 situation of the country
This project aimed to enhance the knowledge on the public health system and the covid-19 situation of the country. The nutrition informatics interns from St. Ann’s College for Women and Lady Irwin College, University of Delhi prepared and gave a presentation on basic socio-demographic profile and disease profile of the various countries, the public healthcare system of the country: its strengths and limitations, COVID-19 status of the country using SMAART Rapid Tracker, and the major policy actions taken by their government to combat COVID-19.
Personalised Nutrition Plan Case Studies
This project focused on case-based learning for an in-depth understanding of the development of tailored and personalized nutrition plans. Case studies related to diseases such as diabetes, hypertension, micronutrient deficiency, under-nutrition, over-nutrition and metabolic syndrome were given to Nutrition Informatics Interns from St. Ann’s College for Women and Lady Irwin College, University of Delhi.
Nutrition policies and databases in India
The nutrition informatics interns from St. Ann’s College for Women created a repository of the latest Digital Health Guidelines, Nutrition Informatics Research in India, Nutrition Database, Nutrition Policy, Nutrition Programs in India: East and West, Nutrition Programs in India: North and South.
COVID-19 and Nutrition
The projects focused on creating a repository of the scientific research conducted on COVID-19 and nutrition. To address issues related to COVID-19 and nutrition misinformation, The nutrition informatics interns from Lady Irwin College attempted to develop a repository of COVID-19 and nutrition FAQs.
Evaluation of Diet Decision Support System
The project aimed to give an overview and hands-on experience to the Nutrition Informatics Interns from St. Ann’s College for Women and Lady Irwin College, University of Delhi of the Personalized human-centered Dietary Decision Support System created for diabetic patients in an Indian Setting. The students were asked to enter their 3-day dietary records and critique the system.
Evaluating the Childhood Obesity Apps in the Google Play Store
The objective of the study was to assess the features of childhood obesity apps available in the google play store. We examined the inclusion of scientific evidence-based strategies in the apps for the management of childhood obesity. To achieve this, a search was conducted for childhood obesity apps in the Google play store in February 2021. A total of 250 apps were retrieved. After applying inclusion, exclusion criteria, and removing the duplicate apps, the final 66 apps were identified and analyzed for the present study.
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