SLIIT Conference and Symposium Proceedings

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Food Habits Changes and their Impact on Young Adults During COVID-19 Lockdown in Sri Lanka
(School of Nursing, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Chamodini, H. W. T.; Mihirani, N. H. G. M.; Sandamali, P. G. S.; Dilrukshi, A. N.; Perera, A. C. H.; Sewwandi, K. P. A.
Globally, the COVID-19 pandemic has brought about significant changes in many aspects of life. Nutrition is one important aspect that has been impacted both positively and negatively. Pandemic mitigation strategies restricted the movement of people, disrupting food production, distribution, and accessibility. On the other hand, the quantity and the quality of nutrition were also altered considerably. Young adults are vulnerable to multiple changes, including nutrition. It has been a timely requirement to study these changes during challenging situations, and the findings can be utilized to introduce nutritional guidelines during pandemic periods and nutritional recovery guidelines during post -pandemic periods. The study explores alterations in dietary habits and lifestyle patterns among Sri Lankan young adults during the COVID-19 lockdown period. Utilizing a descriptive cross-sectional design, data were collected from 118 participants aged 18-30 through an online questionnaire. The study revealed decreased consumption of vegetables, fruits, and chocolates, accompanied by higher levels of water intake and more frequent dinners. Physical activity levels declined significantly, while body weight and sleep duration increased. The research highlights the lockdown's multifaceted impact on young adults' health, emphasizing the need fortargeted nutritional and physical activity guidelines during such crises and even during post -pandemic periods.
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A Mobile Application to Predict and Manage High Blood Pressure and Personalized Recommendations
(2019 1st International Conference on Advancements in Computing (ICAC), SLIIT, 2019-12-05) Rajapaksha, S.; Abhayarathne, W.J.A.; Kumari, S.G.K.; De Silva, M.V.L.U.; Wijesuriya, W.M.S.M.
The purpose of this investigation is to present a mobile application using AI expert and how to predict and manage high blood pressure and provide personalized recommendations to lower it. Basically, the system interprets the inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to the diversity of food components and a large number of dietary sources, it is challenging to perform a real-time selection of diet patterns that must fulfill one’s nutrition needs and with considering your health issues and diseases. In this research, to address this issue to present an android based system, called Smart Blood Pressure Recommendation app. The purpose of this system is to allow patients to have an easy way to monitor their health and to see how their blood pressure has changed over time. This offer advice or suggestions, without having to schedule an appointment. As the system continues to gather data from a patient, it begins to offer advice its own if it finds that the patient’s current conditions fit a certain condition or pattern. To generate a recommendation, it refers to an Ontology based data model. The data model gains information about its knowledge by doctors and nutritionists that can be used by AI expert. This research helps users to identify their previous record charts of blood pressure, reliable alarms for user blood pressure medication, popup notifications, build health

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