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The diabetes care professionals are provided the self-management programme to strengthen the awareness and importance of self-management in diabetes care.

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Comprehensive glycemic control is necessary to improve outcomes and avoid complications in individuals with diabetes. Self-monitoring of blood glucose (SMBG) is a key enabler of glycemic assessment, providing real-time information that complements HbA1c monitoring and supports treatment optimization. However, SMBG is under-utilized by patients and physicians within the Asia-Pacific region, because of barriers such as the cost of monitoring supplies, lack of diabetes self-management skills, or concerns about the reliability of blood glucose readings. Practice recommendations in international and regional guidelines vary widely, and may not be detailed or specific enough to guide SMBG use effectively. This contributes to uncertainty among patients and physicians about how best to utilize this tool: when and how often to test, and what action(s) to take in response to high or low readings. In developing a practical SMBG regimen, the first step is to determine the recommended SMBG frequency and intensity needed to support the chosen treatment regimen. If there are practical obstacles to monitoring, such as affordability or access, physicians should identify the most important aspects of glycemic control to target for individual patients, and modify monitoring patterns accordingly. This consensus paper proposes a selection of structured, flexible SMBG patterns that can be tailored to the clinical, educational, behavioral, and financial requirements of individuals with diabetes.

This study analyzed the body composition of individuals with type 2 diabetes (T2DM). In this retrospective chart review study, body composition was measured through multifrequency bioelectrical impedance analysis (InBody 770). Body composition assessments were conducted in individuals with T2DM, who were aged ≥18 years. The parameters included body mass index (BMI), body fat mass (BFM), fat-free mass (FFM), visceral fat area, percent body fat (PBF), appendicular skeletal muscle mass (ASM), and skeletal muscle index (SMI). One-way ANOVA and independent t-tests were used to calculate differences in body composition distribution by age and sex. A total of 2404 participants were recruited. The prevalence of overall low muscle mass and sarcopenic obesity was 28.0% and 18.7%, respectively, which increased with age. The overall prevalence of obesity when PBF was used was 71.5%, which was higher than that when BMI was applied (32.4%). The normal BMI group exhibited a prevalence of low muscle mass of 55.6% and sarcopenic obesity of 34.8%. For both men and women, bodyweight, BFM, FFM, ASM, and SMI all decreased with age. The prevalence of low muscle mass and sarcopenic obesity was high in older adults and people with normal BMI. Using BMI to assess obesity and determine insufficient muscle mass underestimates the prevalence of obesity and neglects the problems of sarcopenia and high body fat in people with normal BMI.