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1.
Diabet Med ; 34(3): 440-450, 2017 03.
Article in English | MEDLINE | ID: mdl-27278933

ABSTRACT

AIMS: To test the hypothesis that delivery of integrated care augmented by a web-based disease management programme and nurse coordinator would improve treatment target attainment and health-related behaviour. METHODS: The web-based Joint Asia Diabetes Evaluation (JADE) and Diabetes Monitoring Database (DIAMOND) portals contain identical built-in protocols to integrate structured assessment, risk stratification, personalized reporting and decision support. The JADE portal contains an additional module to facilitate structured follow-up visits. Between January 2009 and September 2010, 3586 Chinese patients with Type 2 diabetes from six sites in China were randomized to DIAMOND (n = 1728) or JADE, plus nurse-coordinated follow-up visits (n = 1858) with comprehensive assessments at baseline and 12 months. The primary outcome was proportion of patients achieving ≥ 2 treatment targets (HbA1c < 53 mmol/mol (7%), blood pressure < 130/80 mmHg and LDL cholesterol < 2.6 mmol/l). RESULTS: Of 3586 participants enrolled (mean age 57 years, 54% men, median disease duration 5 years), 2559 returned for repeat assessment after a median (interquartile range) follow-up of 12.5 (4.6) months. The proportion of participants attaining ≥ 2 treatment targets increased in both groups (JADE 40.6 to 50.0%; DIAMOND 38.2 to 50.8%) and there were similar absolute reductions in HbA1c [DIAMOND -8 mmol/mol vs JADE -7 mmol/mol (-0.69 vs -0.62%)] and LDL cholesterol (DIAMOND -0.32 mmol/l vs JADE -0.28 mmol/l), with no between-group difference. The JADE group was more likely to self-monitor blood glucose (50.5 vs 44.2%; P = 0.005) and had fewer defaulters (25.6 vs 32.0%; P < 0.001). CONCLUSIONS: Integrated care augmented by information technology improved cardiometabolic control, with additional nurse contacts reducing the default rate and enhancing self-care. (Clinical trials registry no.: NCT01274364).


Subject(s)
Delivery of Health Care, Integrated , Diabetes Complications/prevention & control , Diabetes Mellitus, Type 2/therapy , Disease Management , Patient Compliance , Quality Improvement , Quality of Health Care , Aged , Blood Glucose Self-Monitoring , Blood Pressure , China/epidemiology , Cholesterol, LDL/blood , Combined Modality Therapy/nursing , Developing Countries , Diabetes Complications/epidemiology , Diabetes Complications/nursing , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/nursing , Female , Follow-Up Studies , Glycated Hemoglobin/analysis , Humans , Internet , Male , Middle Aged , Risk Factors
2.
Diabet Med ; 32(2): 220-5, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25388749

ABSTRACT

AIM: To investigate the relationship between birthweight and cardiometabolic traits in two cohorts: one of Chinese adolescents and one of Chinese adults. METHODS: Birthweight and clinical data, including anthropometric traits, fasting plasma glucose and fasting plasma insulin levels, blood pressure and lipid profiles were collected from 2035 adolescents and 456 adults. A subset of 735 subjects underwent an oral glucose tolerance test to measure the glucose and insulin concentrations at 0, 15, 30, 60 and 120 min. RESULTS: Among adolescents, birthweight showed U-shaped relationships with larger body size, obesity, abdominal obesity in girls, insulin resistance and worse lipid profiles (0.0013 < P(quadratic) < 0.0499), as well as an inverse association with fasting plasma glucose (P(linear) = 0.0368). After further adjustment for adiposity, decreasing birthweight was associated with elevated fasting plasma glucose levels, greater insulin resistance and worse lipid profiles (3.1 × 10⁻5 < P(linear) < 0.0058). Among adults, high birthweight was associated with larger body size and abdominal obesity in men, while low birthweight was associated with elevated glucose levels at 15, 30, 60 and 120 min and a greater area under the curve at 0-120 min, as well as with ß-cell dysfunction (6.5 × 10⁻5 < P(linear) < 0.0437). Adjustment for adult adiposity did not substantially change the relationships. There was significant interaction between birthweight and abdominal obesity in elevating fasting plasma insulin and homeostasis model assessment of insulin resistance (P > 0.05), with abdominally obese adolescents in the lowest birthweight category (≤ 2.5 kg) having the highest risk of insulin resistance. CONCLUSIONS: Both high and low birthweights are associated with an increased risk of cardiometabolic abnormalities including obesity, abdominal obesity, hyperglycaemia, dyslipidaemia and insulin resistance, as well as with ß-cell dysfunction.


Subject(s)
Birth Weight , Dyslipidemias/epidemiology , Hyperglycemia/epidemiology , Insulin Resistance , Insulin-Secreting Cells/metabolism , Insulin/metabolism , Obesity/epidemiology , Adolescent , Adult , Asian People , Body Mass Index , Cohort Studies , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/ethnology , Diabetes Mellitus, Type 2/physiopathology , Dyslipidemias/blood , Dyslipidemias/ethnology , Dyslipidemias/physiopathology , Female , Hong Kong/epidemiology , Humans , Hyperglycemia/blood , Hyperglycemia/ethnology , Hyperglycemia/physiopathology , Insulin/blood , Insulin Resistance/ethnology , Insulin Secretion , Male , Middle Aged , Obesity/blood , Obesity/ethnology , Obesity/physiopathology , Obesity, Abdominal/blood , Obesity, Abdominal/epidemiology , Obesity, Abdominal/ethnology , Obesity, Abdominal/physiopathology , Risk Factors , Sex Factors , Urban Health/ethnology
3.
Nutr Diabetes ; 4: e112, 2014 Mar 10.
Article in English | MEDLINE | ID: mdl-24614663

ABSTRACT

OBJECTIVE: Positive family history is associated with increased type 2 diabetes (T2D) risk, and reflects both genetic and environmental risks. Several studies have suggested an excess maternal transmission of T2D, although the underlying mechanism is unknown. We aimed to examine the association between maternal diabetes and cardiometabolic risk in the offspring. METHODS: Parental history of diabetes and clinical data including anthropometric traits, fasting plasma glucose and insulin (FPG, FPI), blood pressure and lipid profile were collected from 2581 unrelated Chinese offspring (2026 adolescents from a population-based school survey and 555 adults from a community-based health screening programme). A subset of subjects (n=834) underwent oral glucose tolerance test to measure the glucose and insulin concentrations at 0, 15, 30, 60 and 120 min for evaluation of the areas under the curve (AUC) of glucose and insulin at 0-120 min, homoeostasis model assessment of insulin resistance (HOMA-IR) and bell-cell function, insulinogenic index, insulin sensitivity index (ISI) and oral disposition index (DI). RESULTS: A positive parental history of diabetes was associated with increased risk of obesity (odd ratios (OR) (95% confidence interval (CI))=1.48 (1.10-2.00)), central obesity (OR (95% CI)=1.67 (1.21-2.32)), higher FPI, HOMA-IR, 2-h insulin, AUC of glucose at 0-120 min, triglycerides, reduced ISI and DI. Compared with individuals without parental diabetes, offspring with diabetic mother had significantly increased risk of obesity (OR (95% CI)=1.59 (1.07-2.35)), central obesity (OR (95% CI)=1.88 (1.23-2.88)), higher glucose levels and BP, were more insulin resistant but also had impaired first-phase insulin response and worse lipid profile. However, paternal history of diabetes had no effect on any of the studied traits, except higher body mass index, waist circumference in females and FPG. CONCLUSIONS: Our findings suggested that maternal history of diabetes conferred increased risk of cardiometabolic abnormalities, and was associated with both insulin resistance and impaired first-phase insulin secretion. Further investigation into the mechanism of transgenerational diabetes is warranted.

4.
Diabet Med ; 31(3): 302-18, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24417604

ABSTRACT

There has been a marked increase in the prevalence of diabetes in Asia over recent years. Diabetes complicating pregnancy, in particular gestational diabetes, has also increased markedly in the region. Multi-ethnic studies have highlighted the increased risk of gestational diabetes mellitus among the different Asian populations. Prevalence of gestational diabetes in Asian countries varies substantially according to the screening strategy and diagnostic criteria applied, and ranges from 1% to 20%, with evidence of an increasing trend over recent years. The International Association for Diabetes in Pregnancy Study group criteria have been adopted by some Asian countries, although they present significant challenges in implementation, especially in low-resource settings. Studies on offspring of mothers with gestational diabetes have reported adverse cardiometabolic profiles and increased risk of diabetes and obesity. Gestational diabetes is likely to be a significant factor contributing to the epidemic of diabetes and other non-communicable diseases in the Asian region. In recognition of this, several large-scale prevention and intervention programmes are currently being implemented in different Asian countries in order to improve glucose control during pregnancy, as well as overall maternal health. Lessons emerging from gestational diabetes studies in Asia may help inform and provide insights on the overall burden and treatment strategies to target gestational diabetes, with the ultimate aim to reduce its adverse short- and long-term consequences.


Subject(s)
Asian People , Diabetes Mellitus, Type 2/prevention & control , Diabetes, Gestational/diagnosis , Mass Screening/organization & administration , Obesity/prevention & control , Pregnancy in Diabetics/diagnosis , Asia/epidemiology , Cost-Benefit Analysis , Diabetes Mellitus, Type 2/epidemiology , Diabetes, Gestational/epidemiology , Early Diagnosis , Female , Glucose Tolerance Test , Humans , Infant, Newborn , Obesity/epidemiology , Organizational Innovation , Pregnancy , Pregnancy in Diabetics/epidemiology , Prevalence , Public Health , Risk Factors
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