Diabetes Mellitus Type 1 During the COVID 19: Psychological Symptoms and Eating Attitudes.

BACKGROUND: Diabetes Mellitus Type 1 is a chronic metabolic disorder the treatment of which extremely burdens the patient. The lockdown, as a measure to prevent the spreading of the 2019 corona virus disease, was a major challenge for the general public. People with chronic diseases, such as T1D patients, have complex emotional and psychological needs and are at increased risk for both depressive symptoms and anxiety. OBJECTIVE: The aim of this study was to evaluate the impact of body mass index of T1D patients on the psychological symptoms and eating habits, as well as the prognostic factors of the psychological symptoms during the lockdown period. METHOD: Diabetes mellitus patients were invited to complete this survey from the outpatient Diabetes clinic of the General Hospital of Chania and the "AHEPA" General University Hospital of Thessaloniki in Greece. Psychological symptoms were assessed using the DASS-42 questionnaire and eating habits were assessed using the EAT-26 questionnaire. RESULTS: Overall, 112 T1D patients were analyzed (response rate: 28.8%). Obese T1D patients appear to be at greater risk of developing psychological symptoms such as depression, anxiety, and stress. Furthermore, disordered eating behaviors and bulimia and food preoccupation subscale were associated with psychological symptoms. CONCLUSIONS: The findings suggested that obese T1D patients are at greater risk of developing psychological symptoms and an eating disorder is being triggered to reduce the negative psychological symptoms. The results of this study may guide targeted interventions among T1D patients.

5G in Healthcare: From COVID-19 to Future Challenges.

Worldwide up to May 2022 there have been 515 million cases of COVID-19 infection and over 6 million deaths. The World Health Organization estimated that 115,000 healthcare workers died from COVID-19 from January 2020 to May 2021. This toll on human lives prompted this review on 5G based networking primarily on major components of healthcare delivery: diagnosis, patient monitoring, contact tracing, diagnostic imaging tests, vaccines distribution, emergency medical services, telesurgery and robot-assisted tele-ultrasound. The positive impact of 5G as core technology for COVID-19 applications enabled exchange of huge data sets in fangcang (cabin) hospitals and real-time contact tracing, while the low latency enhanced robot-assisted tele-ultrasound, and telementoring during ophthalmic surgery. In other instances, 5G provided a supportive technology for applications related to COVID-19, e.g., patient monitoring. The feasibility of 5G telesurgery was proven, albeit by a few studies on real patients, in very low samples size in most instances. The important future applications of 5G in healthcare include surveillance of elderly people, the immunosuppressed, and nano- oncology for Internet of Nano Things (IoNT). Issues remain and these require resolution before routine clinical adoption. These include infrastructure and coverage; health risks; security and privacy protection of patients' data; 5G implementation with artificial intelligence, blockchain, and IoT; validation, patient acceptance and training of end-users on these technologies.