The purpose of this cross-sectional study was to find out the prevalence of obesity and overweight among intermediate school adolescents aged 10 to 14 years. The study comprised a multistage stratified random sample that included 5402 children (2657 males and 2745 females). They represent 12.7% of the total number of children between 10 and 14 years during the educational year 2005-2006. The weights and heights of adolescents were measured, from which the body mass index (BMI) was calculated, which is the weight in kilograms divided by the height in meters squared (kg/m(2)). BMI values higher than 95 percentile were accepted as being obese and those in between 85 and 94 percentile were accepted as overweight. Dietary intake was assessed by the investigators using food exchange lists designed by American Diabetic Association and physical fitness was measured by modified Harvard step test. Data regarding monthly income of the chosen sample were collected from parents of those children. The overall prevalence of overweight and obesity in adolescent Kuwaiti children aged 10 to 14 years was 30.7% and 14.6%, respectively. The overall prevalence of overweight and obesity among males was 29.3% and 14.9%, respectively (P < .001) and the prevalence of overweight and obesity among females was 32.1% and 14.2%, respectively (P < .001). High daily caloric intake by the obese and overweight children and physical inactivity was reported among the majority of them. Health education programs should be conducted to control this syndrome in order to prevent future risk of obesity-related disease, and physical activity programs should be incorporated in the schools. Any management plan for overweight and obese children should include 3 major components: diets, exercise, and family-based behavior and they should not be placed on restrictive diets because adequate calories are needed for proper growth.

The benefits and drawbacks of various technologies, as well as the scope of their application, are thoroughly discussed. The use of anonymity technology and differential privacy in data collection can aid in the prevention of attacks based on background knowledge gleaned from data integration and fusion. The majority of medical big data are stored on a cloud computing platform during the storage stage. To ensure the confidentiality and integrity of the information stored, encryption and auditing procedures are frequently used. Access control mechanisms are mostly used during the data sharing stage to regulate the objects that have access to the data. The privacy protection of medical and health big data is carried out under the supervision of machine learning during the data analysis stage. Finally, acceptable ideas are put forward from the management level as a result of the general privacy protection concerns that exist throughout the life cycle of medical big data throughout the industry.

Aim of work: To detect features and the prevalence of Metabolic Syndrome(MS) in obese adolescents (11-17 years) attending School Health Screening Center in Farwaniah governorate in Kuwait. Research design and methods:A total 352 obese Kuwaiti adolescents attended the School Health Screening Center in Al-Farwaniah Governorate in Kuwait were assessed for criteria of Metabolic syndrome (MS). We defined the MS using the Criteria analogous to the Third Report of the Adults Treatment Panel (ATPIII) as having at least three of the following: fasting triglycerides ≥ 100 mg/dl; HDL < 50 gm/dl; fasting glucose ≥ 110 mg/dl; waist circumference ≥ 90 th percentile for age and gender and height. Weight status was assessed by using the age and gender specific body mass index (BMI) using the National Center for Health Statistics references standards.Results: Metabolic syndrome was recorded among 27.8% of the studied obese Kuwait adolescents (having three or more criteria of Metabolic syndrome), 26.3% of the sample had one criteria of MS and 35.6% has two signs of MS. Conclusion:The study suggests that prevalence of metabolic syndrome is high among obese Kuwaiti adolescents and since the childhood metabolic syndrome and obesity likely persist into adult hood, early identification is important to improve future cardio vascular, health and quality of life for adults.

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