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Protein Nutrition in early childhood
Importance and overview of protein in early childhood growth,development and immune function. Understanding the essential amino acid profile and its role in supporting growth and development. Sources of Protein in Early Childhood. Introduction of solid foods rich in protein during the transition to complementary feeding (Introduction of solid foods, Timing and methods and Strategies for ensuring balanced protein intake during complementary feeding). The Protein digestibility-corrected amino acid score. Associations between protein intake and risk of obesity, metabolic disorders, and chronic diseases later in life. Evidence-based recommendations for promoting healthy protein intake in early childhood. Practical tips for parents and caregivers to ensure adequate protein consumption. Strategies for overcoming barriers to achieving optimal protein nutrition in young children. Real-life examples illustrating the role of protein nutrition
About the Speaker
Dr. Prameela Joji
Senior Consultant Pediatric Critical care, KIMSHEALTH, Thiruvananthapuram.
Dr.Prameela Joji is a renowned pediatrician in Thiruvananthapuram, currently practicing at KIMS HEALTH Hospital. With 22 years of experience, she specializes in pediatric emergency and critical care, serving as a senior consultant and medical superintendent. Dr Joji obtained her MBBS from Trivandrum Medical College, Kerala, and pursued further qualifications including a Diploma in Child Health from Royal Hospital, Oman, DNB from Sree Avittom Thirunal, Trivandrum, and a Diploma in Allergy and Asthma from CMC Vellore. She is an active member of prestigious medical associations such as the Indian Medical Association, the Indian Society of Critical Care Medicine, and the Indian Academy of Pediatrics. Additionally, Dr Joji serves as the Director of the Skills and Simulation Lab at KIM'S HEALTH, demonstrating her commitment to medical education and training.
Upcoming Case Discussions
Technology Integration with Healthcare
Technology integration in healthcare is transforming the way medical services are delivered, enhancing efficiency and patient outcomes. Innovations such as telemedicine, electronic health records (EHR), and wearable devices allow for real-time monitoring and improved accessibility. Artificial intelligence (AI) and machine learning aid in early diagnosis and personalized treatment plans. Robotic surgeries and advanced imaging techniques offer precision and reduced recovery times. By combining technology with healthcare, providers can streamline operations, improve patient engagement, and deliver cost-effective care solutions.
Pediatric Obesity: Treatment Management
Treatment management for pediatric obesity combines lifestyle changes, family support, and, in severe cases, medical interventions. Family-based strategies are key, encouraging healthy eating habits, regular physical activity, and reduced screen time. Behavioral therapy helps set achievable goals and address barriers, empowering children and families to make sustainable lifestyle adjustments. Dietitians often assist in designing individualized meal plans that focus on nutrient-rich foods and limit calorie-dense options. In cases of severe obesity with related health conditions, medications or surgery may be considered, particularly for adolescents. Continuous monitoring and support from healthcare providers are essential for long-term success and health improvement.
Clinician’s Approach to Sleep Apnea
A clinician's approach to sleep apnea begins with a thorough assessment of the patient's medical history, symptoms (such as snoring, choking, and daytime fatigue), and risk factors like obesity or hypertension. Diagnosis is typically confirmed through polysomnography or home sleep apnea testing, followed by treatment strategies such as continuous positive airway pressure (CPAP), lifestyle modifications, or surgical interventions depending on the severity and type of sleep apnea.
Case Based Approach to Arthritis
A case-based approach to arthritis involves analyzing individual patient cases to tailor diagnostic and therapeutic strategies based on specific symptoms, disease progression, and underlying causes. This method enhances clinical decision-making by providing personalized treatment plans and improving patient outcomes in conditions like osteoarthritis, rheumatoid arthritis, and psoriatic arthritis.