Research on physical activity variability and changes of metabolic profile in patients with prediabetes using Fitbit activity trackers data

BACKGROUND: Monitoring physical activity with consumers wearables is one of the possibilities to control a patient’s self-care and adherence to recommendations. However, clinically approved methods, software, and data analysis technologies to collect data and make it suitable for practical use for patient care are still lacking. OBJECTIVE: This study aimed to analyze the potential of patient physical activity monitoring using Fitbit physical activity trackers and find solutions for possible implementation in the health care routine. METHODS: Thirty patients with impaired fasting glycemia were randomly selected and participated for 6 months. Physical activity variability was evaluated and parameters were calculated using data from Fitbit Inspire devices. RESULTS: Changes in parameters were found and correlation between clinical data (HbA1c, lipids) and physical activity variability were assessed. Better correlation with variability than with body composition changes shows the potential to include nonlinear variability parameters analysing physical activity using mobile devices. Less expressed variability shows better relationship with control of prediabetic and lipid parameters. CONCLUSIONS: Evaluation of physical activity variability is essential for patient health, and these methods used to calculate it is an effective way to analyze big data from wearable devices in future trials.

Prediabetic Dysglycemia: Call for Action

Different dysglycemic states precede overt type 2 diabetes. Prediabetic dysglycemia also carries an increased cardiovascular risk per se. Prediabetic dysglycemia may be divided into impaired fasting glycemia, impaired glucose tolerance and intermediate hyperglycemia. Mixed forms of these are very common. Dysglycemia develops insidiously for many years and usually produces no symptoms until very late. It is possible to prevent prediabetic dysglycemia from progressing to manifest type 2 diabetes and it can also be made to return to normoglycemia. The importance of lifestyle interventions, pharmacological treatment, surgical treatment and community efforts are discussed.

Comorbidity of irritable bowel syndrome and obesity

The article presents the results of a clinical investigation of 53 patients conducted to identify potential mechanisms of comorbidity of obesity and irritable bowel syndrome. Patients with a combination of these diseases are more likely to experience impaired fasting glycemia, pronounced and emotionally colored complaints on the internal organs, recorded with the Giessen questionnaire of psychosomatic complaints.

Are There Any Substantial Differences in the Anthropometric and Metabolic Profile Between Patients with Impaired Fasting Glycemia and Impaired Glucose Tolerance ?

Background and Aims: Prediabetes, a category of incipient hyperglycemia that includes impaired fasting glycemia (IFG) and impaired glucose tolerance (IGT), has an increasing incidence in the modern world. We searched for differences in anthropometric and metabolic characteristics between subjects with isolated IFG and IFG+IGT. Material and Methods: In our cross-sectional study, 154 subjects with IFG and IFG+IGT, without any other major pathologies, were analyzed. Anthropometric data, lipid profile, uric acid, insulin resistance indexes, adiponectin, leptin and leptin-to-adiponectin ratio were compared. Results: Only 122 subjects (64 with isolated IFG and 58 with IFG+IGT), without any other identifiable major disease, were included in the final analysis. Most characteristics of the two groups were similar, only minor differences in anthropometric data, biochemical profile and insulin resistance indexes being noted. Insulin resistance indexes were stronger associated with adiponectin in the group with isolated IFG and with leptin and leptin-to-adiponectin ratio in the IFG+IGT group. Conclusions: Our data suggest a similar anthropometric and metabolic profile in subjects with isolated IFG and with IFG+IGT. In isolated IFG, insulin resistance seems to correlate better with adiponectin, while in IFG+IGT it seems to associate mostly with leptin and derived parameters