The effect of the sleep time of elementary school-aged students on school adaptation: Focusing on mediation effect of eating habit

2021 ◽  
Vol 6 (3) ◽  
pp. 123-144
Author(s):  
Sangyong Kim
2016 ◽  
Vol 3 (3) ◽  
pp. 142-145
Author(s):  
Zavgorodniy I.V., Lazarenko K. P., Chekhovskaya I.M.

The article deals with the problem of school adaptation of elementary school pupils studying in specialized boarding schools for children with special needs and musculoskeletal disorders. The article studies special materials and methods for diagnosis of school desadaptation. The authors presented the findings of the research identifying the peculiarities of school desadaptation diagnosis.Key words: сhildren with special needs, school adaptation, specialized boarding school, elementary school children with musculoskeletal disorders. АнотаціяДіагностика шкільної адаптації дітей з особливими потребами. Завгородній І.В., Лазаренко К.П., Чеховська І.М.         У статті розглядаються проблеми шкільної дезадаптації дітей з патологією опорно-рухового апарату, що навчаються у спеціалізованому начальному закладі. Описані методики для визначення рівня шкільної адаптації першокласників. Надані результати проведених досліджень серед учнів першого класу спеціалізованого навчального закладу.Ключові слова: діти з особливими потребами, шкільна адаптація,спеціалізований навчальний заклад,першокласники,  захворювання опорно-рухового апарату. АннотацияЗавгородний И.В., Лазаренко К.П., Чеховская И.М.Диагностика школьной адаптации у детей с особыми потребностями. В статье рассматриваются проблемы школьной дезадаптации детей с патологией опорно-двигательного аппарата, обучающихся в специализированном учебном заведении. Описанны методики для определения уровня школьной адаптации первоклассников. Представлены результаты проведенных исследований среди учащихся первого класса специализированного учебного заведения.Ключевые слова: дети с особыми потребностями, школьная адаптация, специализированное учебное заведение, первоклассники, заболевания опорно-двигательного аппарата.


Mobile technology is showing a wide acceptance in the health-care system. As technology is changing there are many health-care applications in the market. The need of these applications is increasing day by day because of unhealthy lifestyle. Among the various ailments, the most common lifestyle disease is diabetes. As we know diabetes can’t be cured, it can only be controlled by managing one’s lifestyle. In this paper, we propose a new application DiaM for managing and mentoring a diabetic patient. DiaM is Artificial Intelligence (AI) based mobile application which not only connect to manage one’s lifestyle but to build the strong will power. Our application has been designed in such a way that all the aspects are covered to manageone’s lifestyle. We have implemented an AI based system which smartly categorizes the patients in different states, which utilizes the different parameter like eating habit, stress, exercise, sleep time, smoking, genetic, BMI, and various other symptoms. On the basis of these states suggestions are been provided to the patient for improving the lifestyle. DiaM also enables patient to connect with the Doctor for monitoring and mentoring. Our application provides real-time alerts to doctor so that they can monitor patient anytime. It is extremely necessary to manage health conditions therefore our application provides a better,accurate and sustainable healthcare system.


2010 ◽  
Vol 38 (3) ◽  
pp. 347-356 ◽  
Author(s):  
Serdal Seven

This study was an investigation of whether or not children's attachment representation and social behaviors were linked to adaptation transition from preschool to elementary school. Eighty students participated in this study. Attachment representation, school adaptation, and social behaviors were measured by Incomplete Stories with Doll Family (Cassidy, 1988), Teacher Assessment of Social Behavior (Cassidy & Asher, 1992), and an Adaptation to School in the First Month Questionnaire developed for this study by the author. One way ANOVA, correlation analysis, and regression analysis were employed to analyze data. Findings showed that there were adaptive problems at elementary school because of insecure attachment and some social behaviors. Attachment and shy-withdrawn behavior were significant predictors of school adaptation with several links among school adaptation, attachment representation, and children's social behaviors.


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