Prevention of cardio metabolic diseases, improving life style, health care economical systems sustainability (national and public) improvement, empowerment of digital health artificial intelligent algorithms, decrease of the future mortality and morbidity rate in health care systems using the artificial inteligent digital health by distance. Not Applicable
Conditions
Interventions
Using the application in a four-dimensional pillar educational digital tool (nutrition, physical, mental and sleep patterns habits).
The population of the study is composed of 30 medical students tha
Sponsors
AHEPA University Hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Medical students 2. Aged 18 to 40 years old 3. Males and females 4. Ability to use an application 5. Familiarity with the completion of clinical trials questionnaires 6. Mentally and physically healthy 7. Familiarity with artificial intelligence
Exclusion criteria
Exclusion criteria: 1. Unfamiliar with the use of applications 2. Mental or physical disease 3. >40 years old 4. Not a medical student
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The following primary outcome measures will be assessed before and 4 months after the use of the application: 1. Blood pressure measured using a normalized sphygmomanometer 2. Heart rate frequency was average measured using an oximeter 3. Sleep problems measured using the Pittsburgh Sleep Quality Index (PSQI) 4. Health-related quality of life measured using the EuroQol EQ-5D 5. Mood measured using the Profile of Mood States (POMS) 6. Anxiety measured using the State-Trait Anxiety Inventory (STAI) | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Anthropometric measurements: body mass index variability with Height and Weight Scale and BMI digital calculator, before and 4 months after the use of the application 2. Hematological & Biochemical blood exams: white blood cell count (WBC), red blood cell count (RBC), platelet count, hematocrit red blood cell volume (HCT), hemoglobin concentration (HB), white blood and red blood cell volume and general indices with Hematology Analyzer of AHEPA University Bio Lab, before and 4months after the use of the application 3. Diabetes biochemical profile: level of glucose (blood sugar) and HbA1c reflex panel in cases of high blood sugar (non-fasting assessment) measured using a Biochemistry analyzer of AHEPA University Bio Lab, before and 4 months after the use of the application 4. Renal function biochemical profile: urea, creatinine, eGFR (calculation of glomerular filtration rate), uric acid, phosphorus Gout biochemical profile: uric acid bone health biochemical profile: calcium, phosphorus, alkaline phosphatase (ALP) risk of cardiovascular disease biochemical profile: cholesterol, triglycerides, HDL and LDL cholesterol, apolipoprotein B (if triglyceride level is too high) measured using a Biochemistry analyzer of AHEPA University Bio Lab, before and 4 months after the use of the application 5. Liver and bile duct function biochemical profile: total bilirubin, ALP, lactate dehydrogenase (LDH), aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyltransferase (GGT), albumin nutritional status biochemical profile: Na, K, Cl, proteins, albumin, globulin, albumin/globulin (A/G) ratio, LDH Hormonal biochemical profile: Thyroid function, nutritional and vitamin status measured using a Biochemistry analyzer of AHEPA University Bio Lab, before and 4 months after the use of the application | — |
Countries
Greece
Contacts
Public ContactIlias Kanellos
Outcome results
None listed