Effect of current glycemic control on qualitative body composition in sedentary ambulatory Type 2 diabetics

Effects of Feedback From Self-Monitoring Devices on Lifestyle Changes in Workers with Diabetes: 3-Month Randomized Controlled Pilot Trial

Background

Although lifestyle interventions are useful in the prevention and management of diabetes, they can be expensive and time-consuming. There is some evidence on the effectiveness of automated mobile technology for health self-monitoring; however, few studies have used such devices in the occupational health field.

Objective

We aimed to examine the effectiveness of a digital self-monitoring device on glucose levels and activity of workers with diabetes in Japan. The primary outcomes were changes in blood glucose levels, and the secondary outcomes were changes in weight and BMI.

Methods

A 2-arm randomized controlled pilot trial was conducted with workers from 23 organizations. The intervention group (n=50) wore an armband activity monitor, a body composition monitor, and a blood pressure monitor for 3 months and received semiautomated weekly email messages tailored to their device data. The control group (n=53) engaged in no self-monitoring. Messages were developed by a physician and a dietician. Postintervention changes in blood glucose levels, weight, and BMI were compared between the intervention and control groups, using blood tests and questionnaires.

Results

At the end of 3 months, the intervention group showed significantly lower blood glucose levels (HbA1c: intervention group mean 6.4% (SD 0.3%) vs control group mean 6.6% (SD 0.3%); Cohen d=0.7, 95% CI 0.2-1.1; P=.009). There were no significant between-group differences in weight and BMI.

Conclusions

Mobile digital self-monitoring was effective in improving blood glucose levels in workers with diabetes. The use of digital health devices is a cost-effective way of implementing health self-monitoring for large numbers of individuals in the workplace. However, due to the large volume of missing values in this study, we need to be careful in interpreting the results, and well-designed intervention studies need to be conducted.

Trial Registration

University Hospital Medical Information Network UMIN000023651; https://upload.umin.ac.jp/cgi-open-bin/icdr/ctr_view_cb.cgi?recptno=R000027244&flwp_key=1008PYbOcXKmk7CAg4Th1FWS

The Association of Targeted Gut Microbiota with Body Composition in Type 2 Diabetes Mellitus

The association between body composition and gut microbiota in type 2 diabetes mellitus (DM) remains unknown. To elucidate the correlation of body composition and gut microbiota, we conducted a clinical study to enroll 179 patients with type 2 DM. Body composition of lean tissue index (LTI) and fat tissue index was measured by Body Composition Monitor. Eight pairs of 16S rRNA gene primers specific to Firmicutes, Bacteroidetes, the Clostridium leptum group, Bacteroides, Bifidobacterium, Akkermansia muciniphila, Escherichia coli, and Faecalibacterium prausnitzii were used to measure their abundance by quantitative polymerase chain reaction. The results showed that type 2 DM with higher abundance of phylum Firmicutes and a higher ratio of phyla Firmicutes to Bacteroidetes (phyla F/B ratio) had higher LTI. This significant correlation between phyla F/B ratio and LTI was especially evident in type 2 DM with high body mass index, and independent of glycemic control or dipeptidyl peptidase-4 inhibitor usage. In conclusion, our study demonstrated the positive association of LTI with the abundance of phylum Firmicutes and the phyla F/B ratio in type 2 DM.

Prevalence of poor glycemic and blood pressure control and pattern of drug use among primary health-care outpatients in Al Ahsa Saudi Arabia

OBJECTIVES

To assess drug use pattern and the effect on glycemic and blood pressure (BP) control in type 2 diabetes mellitus (T2DM) and hypertensive patients. Furthermore, to evaluate the duration of drug use and antecedence in diagnosis.

METHODOLOGY

A cross-sectional study design, comprising interview/questionnaire targeting outpatients attending primary health centers in Al Ahsa was adopted. During the interview, their fasting blood glucose, weight, and height were measured, along with their BP. Time and duration of drug use were recorded. The history, sociodemographic data and the presence of any other disease conditions were also documented.

RESULTS

The highest number of uncontrolled BP and poor glycemic control was among the age group of 45 and 49 years. Significant number of the patients (92.9%) had body mass index >30 kg/m². The prevalence of developing hypertension before T2DM among participants was 59.9%. A significant number (84%) had uncontrolled hypertension, and 67.3% had uncontrolled T2DM. Drug use pattern revealed single or combinations according to clinical guidelines initially but did not follow through in meeting targets. Majority received angiotensin converting enzyme inhibitors, amlodipine or atenolol for BP control and metformin for T2DM. Patients diagnosed between 1 and 5 years displayed significant poor glycemic and BP control. Significantly, most patients appeared to have been on same prescriptions for a longer time without review.

CONCLUSION

Poor glycemic and BP controls observed in this study could be due to deficient treatment strategy among others. Patients were, however, not adequately managed in line with prescribed clinical guidelines.