The Internet of Things in the Nutritional Management of Patients with Chronic Neurological Cognitive Impairment: A Scoping Review DOI Open Access
Marco Sguanci, Stefano Mancin, Andrea Gazzelloni

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 13(1), P. 23 - 23

Published: Dec. 25, 2024

Background/Objectives: The Internet of Things (IoT) technology connects objects to the internet, and its applications are increasingly used in healthcare improve quality care. However, use IoT for nutritional management patients with chronic neurological cognitive impairment is still development. This scoping review aims describe integration support monitoring, interventions, education impairment. Methods: A was conducted using Cochrane, PubMed/Medline, CINAHL, Embase, Scopus, Web Science databases following Arksey O’Malley framework. Results: Of 1424 records identified, 10 were included review. Most articles peer-reviewed proceedings from conferences or publications scientific journals. IoT-based innovations discussed methodological articles, case studies, project descriptions. Innovations identified across three key areas: intervention, education. Conclusions: offers promising capabilities this field early stages development not yet highly specific.

Language: Английский

Real-World Life Analysis of a Continuous Glucose Monitoring and Smart Insulin Pen System in Type 1 Diabetes: A Cohort Study DOI Creative Commons
Paola Pantanetti, Giovanni Cangelosi, Sara Morales Palomares

et al.

Diabetology, Journal Year: 2025, Volume and Issue: 6(1), P. 7 - 7

Published: Jan. 16, 2025

Background: Diabetes affects over 460 million people worldwide and represents a growing public health challenge driven largely by dietary lifestyle factors. While Type 2 diabetes (T2D) is more prevalent, 1 (T1D) presents unique therapeutic challenges, particularly in younger individuals. Advances management, such as continuous glucose monitoring (CGM), insulin pumps (IP), and, recently, smart multiple dose injection (MDI) pens, have significantly enhanced glycemic control improved patients’ quality of life. Aim: This study aims to evaluate the baseline characteristics patients switching from MDI therapy Medtronic Smart system [composed pen (InPenTM) connected CGM SimpleraTM sensor] assess its impact on outcomes different time periods (14, 30, 90 days). Methods: A retrospective observational was conducted among adults with T1D who initiated therapy. Participants were enrolled voluntarily at Nutrition Clinic Ast Fermo, Marche Region, Italy. Glycemic parameters monitored using data analyzed descriptive statistics, including mean, standard deviation (SD), interquartile range (IQR). Comparisons across performed Wilcoxon signed-rank test, statistical significance set p < 0.05. Results: included 21 participants mean age 51.5 years, BMI 24.7, duration 21.9 years. The transition traditional resulted significant improvements key parameters: Sensor Glucose (SG) decreased 171.0 mg/dL 153.5 (p = 0.035), Time In Range (TIR) increased 58.0% 64.4% 0.005), above (TAR; >180 mg/dL) 39.0% 34.2% 0.015). No differences observed below (TBR). Conclusions: lowering levels increasing TIR. These findings highlight efficacy improving hyperglycemia management while maintaining stable risk hypoglycemia.

Language: Английский

Citations

1

The Relationship Between Quality of Life, Diabetes Distress, and Metabolic Control in Hungarian Type 1 Diabetic Patients: A Cross-Sectional Study DOI Creative Commons
Antonia Losonczi, Csaba Kazinczi,

Flora Fehervari

et al.

Diabetology, Journal Year: 2025, Volume and Issue: 6(3), P. 19 - 19

Published: March 11, 2025

Background: Diabetes-related distress (DD) significantly impacts self-management and quality of life (QoL) in individuals with type 1 diabetes (T1D). While previous research has established a strong link between DD glycemic control 2 diabetes, the relationship remains less consistent T1D. Additionally, continuous glucose monitoring (CGM) been shown to improve outcomes, yet its effects on QoL are still debated. This study aimed examine DD, efficacy (SME), T1D, incorporating both physiological behavioral indicators. Furthermore, differences CGM-users non-users were investigated. Methods: A cross-sectional including 108 T1D patients was conducted. Participants completed several validated self-report measures, Diabetes Distress Scale (DDS), Self-Management Questionnaire (DSMQ), Audit Diabetes-Dependent Quality Life (ADDQoL-19). HbA1c levels CGM usage retrieved from medical records. Structural equation modeling (SEM) used relationships self-management, QoL. Results: level (DDS) had significant negative effect SME (β = −0.47, p < 0.001), suggesting that higher associated lower self-management. In contrast, showed no impact 0.03, 0.779). However, −0.37, meaning linked life. No SME, HbA1c, or found among users non-users. Conclusions: Therefore, PROs aspects alongside clinical care is essential for optimizing treatment plans improving physical health outcomes. technology facilitates regulation, it does not inherently QoL, which more closely distress.

Language: Английский

Citations

0

Sleep Quality and Glycemic Control in Type 1 Diabetes: A Retrospective Cohort Study Using Advanced Technological Devices DOI Creative Commons
Paola Pantanetti,

Federico Biondini,

Stefano Mancin

et al.

Diabetology, Journal Year: 2025, Volume and Issue: 6(3), P. 21 - 21

Published: March 14, 2025

Introduction/Aim: Type 1 diabetes (T1D) challenges glycemic control, with sleep disturbances affecting insulin sensitivity and glucose variability. This study aimed to observe quality in T1D patients outcomes, particularly at bedtime hours. Methods: retrospective observational study, conducted an Italian clinical center, included using Medtronic devices. Sleep was assessed the version of Pittsburgh Quality Index (PSQI), outcomes were analyzed CGM data. Descriptive statistics non-parametric tests applied for statistical comparisons. Results: Of 45 patients, four excluded, leaving 41 analysis. The mean PSQI score 6.0 ± 4.1, 36.6% showing poor quality. No significant differences age, sex, BMI, or duration found. Poor sleepers had a higher time above range level 2 (TAR2) (6.3 6.2%) compared good (4.1 5.0%). During hours, showed significantly TAR2 (6.7 7.2% vs. 3.3 6.2%, p = 0.013). Conclusions: is associated increased nocturnal hyperglycemia patients. Enhancing may contribute improved during nighttime. Future research should explore targeted interventions care, specific lifestyle-based healthcare programs are recommended optimize outcomes.

Language: Английский

Citations

0

Role of a School Nurse in the Management of Type 1 Diabetes in Schools: Teachers' Perspectives DOI Open Access

Despoina Chatziklonidou,

Spyridon Rigatos,

Εvangelos C. Fradelos

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

Citations

0

Anhedonia in Youth and the Role of Internet-Related Behavior: A Systematic Review DOI Creative Commons
Giovanni Cangelosi,

Federico Biondini,

Marco Sguanci

et al.

Psychiatry International, Journal Year: 2024, Volume and Issue: 6(1), P. 1 - 1

Published: Dec. 26, 2024

Introduction: The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) defines depression as a persistent period sadness or reduced interest in everyday activities lasting at least two weeks. Anhedonia, key symptom depression, is notable for its significance regarded the second most important factor related to non-somatic issues, following closely behind depressed mood. This study primarily investigates how excessive problematic use Internet-connected devices affects mood emotions young people, with specific emphasis on anhedonia. Additionally, it explores associated socio-behavioral changes examines interaction between IA depression. Methods: systematic review was conducted PRISMA international guidelines. Searches were performed PubMed, Cochrane Library (Clinical Trials section), Scopus, Embase, PsycInfo, grey literature sources like Google Scholar. A predefined search strategy using Boolean operators employed, researchers independently selected papers, third researcher resolving any discrepancies. reviews minimize selection bias. Results: Out 3812 records, 7 studies included. findings suggest that social anhedonia correlates higher levels IA, particularly among adolescents adults. In some studies, loneliness identified mediator functioning, indicating complex interplay emotional factors. Other investigations revealed increased screen time heightened risk developing addiction-related behaviors. Practical Implications Conclusions: highlights role development Internet addiction (IA) through impact regulation interactions. Addressing psychological environmental factors essential targeted strategies prevent manage mental health challenges.

Language: Английский

Citations

1

The Internet of Things in the Nutritional Management of Patients with Chronic Neurological Cognitive Impairment: A Scoping Review DOI Open Access
Marco Sguanci, Stefano Mancin, Andrea Gazzelloni

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 13(1), P. 23 - 23

Published: Dec. 25, 2024

Background/Objectives: The Internet of Things (IoT) technology connects objects to the internet, and its applications are increasingly used in healthcare improve quality care. However, use IoT for nutritional management patients with chronic neurological cognitive impairment is still development. This scoping review aims describe integration support monitoring, interventions, education impairment. Methods: A was conducted using Cochrane, PubMed/Medline, CINAHL, Embase, Scopus, Web Science databases following Arksey O’Malley framework. Results: Of 1424 records identified, 10 were included review. Most articles peer-reviewed proceedings from conferences or publications scientific journals. IoT-based innovations discussed methodological articles, case studies, project descriptions. Innovations identified across three key areas: intervention, education. Conclusions: offers promising capabilities this field early stages development not yet highly specific.

Language: Английский

Citations

0