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  1. Khalid BA, Lee LF, Samad AH, Ng ML
    Asia Pac J Clin Nutr, 1996 Dec;5(4):239-43.
    PMID: 24394617
    The aims of the project were to determine the glycaemic and insulin responses of non-insulin dependent diabetic patients (NIDDM) to 3 traditional Malaysian meals compared to oral glucose, and to determine whether guar gum would affect these responses. Patients with NIDDM were tested with 75 g oral glucose and three common breakfast meals of the three main ethnic groups of Malaysia. When compared with the oral glucose group, significantly by lower blood glucose responses were seen at 90 and 120 minutes post prandial for nasi lemak (p<0.05) and at 60, 75 and 90 minutes for mee sup (p<0.05). No significant difference was seen for roti telur. There was no significant difference in plasma glucose at any time point of the study when the three test meals were compared with each other. Addition of 5g granulated guar gum mixed with water taken prior to the glucose significantly lowered the plasma glucose at 60, 120 and 150 minutes postprandially (p<0.05). Similarly for the test meals, guar gum significantly lowered plasma glucose concentration between 15 and 45 minutes (p<0.03) postprandial for nasi lemak and between 15 and 30 minutes (p<0.03) for mee sup but not with roti telur. With addition of guar gum, there was no significant change of insulin responses with the three meals but a significant increase was seen at 30 minutes (p<0.02) after ingestion of glucose.
  2. Tan MY, Magarey JM, Chee SS, Lee LF, Tan MH
    Health Educ Res, 2011 Oct;26(5):896-907.
    PMID: 21715653 DOI: 10.1093/her/cyr047
    We assessed the effectiveness of a brief structured diabetes education programme based on the concept of self-efficacy on self-care and glycaemic control using single-blind study design. One hundred and sixty-four participants with poorly controlled diabetes from two settings were randomized using computer-generated list into control (n = 82) and intervention (n = 82) groups, of which 151 completed the study. Monthly interventions over 12 weeks addressed the self-care practices of diet, physical activity, medication adherence and self-monitoring of blood glucose (SMBG). These self-care practices were assessed at Weeks 0 and 12 using pre- and post-questionnaires in both groups together with glycated haemoglobin A1c (HbA1c) and diabetes knowledge. In the intention-to-treat analysis (n = 164), the intervention group improved their SMBG (P = <0.001), physical activity (P = 0.001), HbA1c (P = 0.03), diabetes knowledge (P = <0.001) and medication adherence. At Week 12, HbA1c difference adjusted for SMBG frequency, medication adherence and weight change remained significant (P = 0.03) compared with control group. For within group comparisons, diabetes knowledge (P = <0.001), HbA1c level (P = <0.001), SMBG (P = <0.001) and medication adherence (P = 0.008) improved from baseline in the intervention group. In the control group, only diabetes knowledge improved (P = <0.001). These findings can contribute to the development of self-management diabetes education in Malaysia.
  3. Chew WF, Rokiah P, Chan SP, Chee WS, Lee LF, Chan YM
    Singapore Med J, 2012 Dec;53(12):814-20.
    PMID: 23268155
    INTRODUCTION:
    Women with previous gestational diabetes mellitus (PGDM) are at increased risk of future glucose intolerance. This study aimed to determine the prevalence of prediabetes and type 2 diabetes mellitus (T2DM), and the associated antenatal and historical risk factors among women with PGDM.
    METHODS:
    This was a cross-sectional study conducted at University Malaya Medical Centre, Kuala Lumpur, Malaysia. A 75-g 2-hour oral glucose tolerance test was performed in a cohort of multiethnic women with PGDM. Body mass index, waist and hip circumferences, fasting lipid profile and blood pressure were obtained. Data pertaining to the index gestational diabetes mellitus (GDM) were obtained from medical records and interviews.
    RESULTS:
    448 women were enrolled in the study. The prevalence of prediabetes and T2DM was 26.2% and 35.5%, respectively. On multinomial logistic regression analysis, fasting plasma glucose at diagnosis of index GDM and duration lapse after index GDM were shown to be significantly higher in women with isolated impaired fasting glucose (IFG), combined IFG/impaired glucose tolerance and T2DM, as compared to women with normal glucose tolerance (p < 0.05). 2-hour plasma glucose at diagnosis of index GDM was significantly higher only in women who progressed to T2DM when compared to those that remained normal glucose tolerant (p < 0.05).
    CONCLUSION:
    In this study, duration lapse after index GDM, fasting plasma glucose and 2-hour plasma glucose at diagnosis of index GDM were important risk factors for early identification of women at high risk for future glucose intolerance. These may be useful for developing potential preventive strategies.
  4. Chen K, Lee LF, Chiu W, Su C, Yeh KH, Chao HC
    Sensors (Basel), 2023 Jun 29;23(13).
    PMID: 37447883 DOI: 10.3390/s23136033
    Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node's reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation.
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