Prospective association between late evening food consumption and risk of prediabetes and diabetes: the Whitehall II cohort study.

AIMS: We examined whether late evening food consumption was prospectively associated with the risk of developing prediabetes or diabetes in a large observational study of individuals with normoglycaemia. METHODS: Participants were 2642 men and women with normoglycaemia (HbA1c < 39 mmol/mol; < 5.7%) from the Whitehall II study. Time of last eating episode (TLEE) before the examination day was assessed at baseline. We studied the associations of TLEE with 5-year changes in HbA1c and risk of developing prediabetes or diabetes (HbA1c ≥ 39 mmol/mol; ≥ 5.7%). Potential heterogeneity in the association between TLEE and prediabetes or diabetes was examined using recursive partitioning modelling for time-to-event outcomes. RESULTS: There was a tendency of an overall association of TLEE with change in HbA1c but with little effect size [ß per 1-h increase in TLEE = 0.2 mmol/mol, 95% CI -0.0 to 0.3 (0.01%, -0.00 to 0.03); P = 0.055] and no association with the risk of developing prediabetes/diabetes (risk ratio per 1-h increase in TLEE = 1.03, 95% CI 0.94 to 1.13; P = 0.511). According to the recursive partitioning modelling, women with HbA1c ≤ 36 mmol/mol and TLEE after 21:00 had a 1.51 times (95% CI 1.16 to 1.93) higher 5-year risk of developing prediabetes or diabetes than those having their TLEE between 16:00 and 21:00 (35.4% vs. 23.5%; P = 0.003). CONCLUSIONS: There was no overall association of TLEE with the development of prediabetes or diabetes in the Whitehall II population. However, explorative analyses suggested that eating late in the evening was associated with increased risk of developing prediabetes/diabetes among women with good glycaemic control. Whether restricting late evening food consumption is effective and feasible for the prevention of Type 2 diabetes needs testing in randomized controlled trials.

Integrated central blood pressure-aortic stiffness risk score for cardiovascular risk stratification in chronic kidney disease.

BACKGROUND AND AIMS: The aim of this study was to develop an integrated central blood pressure-aortic stiffness (ICPS) risk score to predict cardiovascular events. METHODS: It was a retrospective cohort study. A total of 100 chronic kidney disease (CKD) patients on conservative therapy were included. Pulse wave velocity (PWV), central systolic blood pressure (cSBP), and central pulse pressure (cPP) were measured. A score was assigned to tertiles of PWV (0-2), cPP (0-2), and cSBP (0 to the first and second and 1 to the third tertile) based on each parameter's ability to individually predict cardiovascular outcome. The sum of these scores and three ICPS risk categories as predictors were studied. Finally, we compared discrimination of the ICPS risk categories with PWV, cSBP, and cPP. RESULTS: Adjusted for age and sex, patients in high and very high ICPS risk categories had increased cardiovascular risk (HR: 3.52, 95% CI: 1.65-7.49; HR: 7.56, 95% CI: 3.20-17.85, respectively). High and very high ICPS risk categories remained independent predictors in a model adjusted for multiple CV risk factors (HR: 4.58, 95% CI: 1.65-7.49; HR: 8.56, 95% CI: 3.09-23.76, respectively). ICPS risk categories (Harrell's C: 0.723, 95% CI: 0.652-0.795) showed better discrimination than PWV (Harrell's C: 0.659, 95% CI: 0.586-0.732, p = 0.028) and cSBP (Harrell's C: 0.660, 95% CI: 0.584-0.735, p = 0.008) and there has been a tendency of significance in case of cPP (Harrell's C: 0.691, 95% CI: 0.621-0.761, p = 0.170). CONCLUSION: The ICPS score may clinically importantly improve the identification of CKD patients with elevated cardiovascular risk.

Is there a connection between postprandial hyperglycemia and IGT related sensory nerve dysfunction?

BACKGROUND AND AIMS: To assess the risk factors for sensory nerve dysfunction in subjects with isolated impaired glucose tolerance (IGT). METHODS AND RESULTS: Seventy-two people with isolated IGT (WHO 1999 criteria) and 39 gender and age-matched healthy volunteers underwent detailed clinical and neurological assessment including quantitative sensory testing using the Neurometer device (current perception threshold measurement on four limbs at three different frequencies). Sensory nerve dysfunction was defined as at least two abnormalities on any frequencies on the upper or lower limbs. Sensory nerve dysfunction was more prevalent among subjects with IGT compared to controls (58.3 vs. 10.3%, OR: 11.23, 95%CI: 3.57-35.35). This association was not influenced by BMI, systolic and diastolic blood pressure, heart rate and autonomic neuropathy (multiple adjusted OR: 13.87, 95%CI: 3.18-60.58), but further adjustment for glycaemic measures abolished the association (OR: 1.58, 95%CI: 0.07-35.68). Assessing the components of glycaemic measures separately, the association between sensory nerve dysfunction and IGT was not affected by HbA1c (OR: 13.94, 95%CI: 1.84-105.5). It was, however, substantially attenuated by fasting plasma glucose (OR: 6.75, 95%CI: 1.33-34.27) while the significance was lost after adjustment for 120 min postload glucose level (OR: 3.76, 95%CI: 0.26-54.10). In the pooled population assessed, independent determinants of sensory nerve dysfunction were older age, 120 min glucose, higher height and cardiovascular autonomic neuropathy at near significance. CONCLUSIONS: Sensory nerve dysfunction amongst subjects with IGT was not explained by cardiovascular covariates, only by glycaemic measures. In addition to 120 min glucose, cardiovascular autonomic neuropathy at borderline significance, age, and height were the independent determinants of sensory nerve dysfunction.

Cost-effectiveness of population-based, community, workplace and individual policies for diabetes prevention in the UK.

AIM: To analyse the cost-effectiveness of different interventions for Type 2 diabetes prevention within a common framework. METHODS: A micro-simulation model was developed to evaluate the cost-effectiveness of a range of diabetes prevention interventions including: (1) soft drinks taxation; (2) retail policy in socially deprived areas; (3) workplace intervention; (4) community-based intervention; and (5) screening and intensive lifestyle intervention in individuals with high diabetes risk. Within the model, individuals follow metabolic trajectories (for BMI, cholesterol, systolic blood pressure and glycaemia); individuals may develop diabetes, and some may exhibit complications of diabetes and related disorders, including cardiovascular disease, and eventually die. Lifetime healthcare costs, employment costs and quality-adjusted life-years are collected for each person. RESULTS: All interventions generate more life-years and lifetime quality-adjusted life-years and reduce healthcare spending compared with doing nothing. Screening and intensive lifestyle intervention generates greatest lifetime net benefit (£37) but is costly to implement. In comparison, soft drinks taxation or retail policy generate lower net benefit (£11 and £11) but are cost-saving in a shorter time period, preferentially benefit individuals from deprived backgrounds and reduce employer costs. CONCLUSION: The model enables a wide range of diabetes prevention interventions to be evaluated according to cost-effectiveness, employment and equity impacts over the short and long term, allowing decision-makers to prioritize policies that maximize the expected benefits, as well as fulfilling other policy targets, such as addressing social inequalities.

The impact of Type 2 diabetes prevention programmes based on risk-identification and lifestyle intervention intensity strategies: a cost-effectiveness analysis.

AIMS: To develop a cost-effectiveness model to compare Type 2 diabetes prevention programmes targeting different at-risk population subgroups with a lifestyle intervention of varying intensity. METHODS: An individual patient simulation model was constructed to simulate the development of diabetes in a representative sample of adults without diabetes from the UK population. The model incorporates trajectories for HbA1c , 2-h glucose, fasting plasma glucose, BMI, systolic blood pressure, total cholesterol and HDL cholesterol. Patients can be diagnosed with diabetes, cardiovascular disease, microvascular complications of diabetes, cancer, osteoarthritis and depression, or can die. The model collects costs and utilities over a lifetime horizon. The perspective is the UK National Health Service and personal social services. We used the model to evaluate the population-wide impact of targeting a lifestyle intervention of varying intensity to six population subgroups defined as high risk for diabetes. RESULTS: The intervention produces 0.0003 to 0.0009 incremental quality-adjusted life years and saves up to £1.04 per person in the general population, depending upon the subgroup targeted. Cost-effectiveness increases with intervention intensity. The most cost-effective options are to target individuals with HbA1c > 42 mmol/mol (6%) or with a high Finnish Diabetes Risk (FINDRISC) probability score (> 0.1). CONCLUSION: The model indicates that diabetes prevention interventions are likely to be cost-effective and may be cost-saving over a lifetime. In the model, the criteria for selecting at-risk individuals differentially impact upon diabetes and cardiovascular disease outcomes, and on the timing of benefits. These findings have implications for deciding who should be targeted for diabetes prevention interventions.

The significance of micro- and macrovascular biomarkers on cardiovascular outcome in chronic kidney disease: a prospective cohort study.

Measures of small and large artery dysfunction have not been investigated in a single cohort for the prediction of cardiovascular (CV) events in patients with nondialysed (ND) chronic kidney disease (CKD). This prospective cohort study aimed to determine whether central pulse wave velocity (cPWV), central pulse pressure (CPP) or microvascular post-occlusive reactive hyperaemia area (PORHHA) independently predict CV events and mortality in CKD-ND. A total of 94 stage 1-5 CKD-ND (65.3±13.1 years; estimated glomerular filtration rate 35.3 (22.8-49.4) ml min(-1) per 1.73 m(2)) patients were followed-up for a median of 52 (36-65) months and had baseline cPWV and CPP measured by applanation tonometry and PORHHA by laser Doppler flowmetry. Multiple failure time Cox regression models were used to determine the predictive role of vascular parameters on CV mortality and events. Based on multiple linear regressions, baseline age, diabetes, CV disease, and systolic blood pressure (SBP) were independently related to cPWV (R(2)=0.3), SBP and PORHHA to CPP (R(2)=0.45), whereas CPP was the only parameter independently related to PORHHA (R(2)=0.16, all P<0.05). During follow-up, 41 CV events occurred (14 CV deaths). In univariate analyses, cPWV (1.07 (1.02-1.13) per m s(-1)), CPP (1.04 (1.01-1.07) per mm Hg) and lnPORHHA (0.70 (0.58-0.85) per ln(PU × s)) were all related to the outcome. Baseline diabetes (HR 3.07 (1.65-5.68)), lnFGF23 (fibroblast growth factor-23; 1.86 (1.13-3.06) per RU ml(-1)) and CPP (1.04 (1.01-1.07) per mm Hg) were independent predictors of CV events. The impaired pulsatile component of large arteries (CPP) independently of other vascular markers (cPWV, PORHHA) predicted CV outcomes in CKD-ND. CPP may integrate the information provided by cPWV and PORHHA.

The effect of steroid pulse therapy on carbohydrate metabolism in multiple myeloma patients: a randomized crossover observational clinical study.

BACKGROUND: Hyperglycemia is a common, but not well-characterized side effect of glucocorticoid treatment. AIM: To study the effect of pulse dexamethasone treatment on carbohydrate metabolism among multiple myeloma patients. MATERIAL/SUBJECTS AND METHODS: A randomized crossover observational study in a teaching hospital with nine myeloma patients (one male, two with known type 2 diabetes (KDM), mean age 69.0 ± 6.7 years) were investigated using a standard 75 g Oral Glucose Tolerance Test (patients without KDM) and a 3-day continuous glucose monitoring (CGM--all patients) during and between dexamethasone cycles. RESULTS: During dexamethasone treatment patients had elevated 2-h postload glucose (12.8 ± 4.7 vs. 8.7 ± 3.2 mmol/L, P = 0.024) but similar fasting glucose (6.3 ± 1.4 vs. 5.1 ± 0.5 mmol/L, P = 0.112). Estimated hourly mean interstitial glucose values based on linear mixed models showed an increase of 0.03 [SE 0.01] mmol/L per hour from 5.0 [0.4] in patients without KDM and followed a quadratic curve from 5.0 [0.4] mmol/L at midnight to 7.5 [0.5] mmol/L at 12:00 h in patients with KDM during control periods. During dexamethasone treatment glucose was similar to control periods between 02:00 and 12:00 h in the non-KDM group, where they followed a cubic trajectory from 5.3 [0.4] mmol/L at 04:00 h to 7.3 [0.4] mmol/L at 18:00 h. In contrast, interstitial glucose was increased by at least 7.9 [0.3] mmol/L throughout the day in KDM patients during dexamethasone treatment and increased from 13.6 [0.5] mmol/L at midnight to 17.5 [0.5] mmol/L at 17:00 h. CONCLUSIONS: During pulse steroid therapy of myeloma patients without KDM afternoon and evening glucose measurements may be the optimal tools to characterize glucose metabolism.

No difference in blood loss between posterior-cruciate-ligament-retaining and posterior-cruciate-ligament-stabilized total knee arthroplasties.

PURPOSE: Posterior-cruciate-ligament-retaining (PCR) and posterior-cruciate-ligament-stabilized (PS) arthroplasties are two major common practices in total knee arthroplasty (TKA). The hypothesis of the present study was that compared with the PCR technique, the PS technique is associated with a higher amount of postoperative blood loss and greater need for blood transfusion in cemented TKA. METHODS: In this prospective, randomized study, 100 patients diagnosed with primary knee osteoarthritis were randomly assigned to either the PCR group (Group I) or the PS group (Group II). The exclusion criteria were rheumatological joint disease, previous knee surgery, anticoagulant therapy and hypertension. There were no significant differences in age, body mass index and gender, between the groups. The haemoglobin and haematocrit levels of each patient were recorded preoperatively and on postoperative days 1, 3 and 5. The postoperative suction drainage and blood transfusion volumes were also recorded. RESULTS: There were no statistically significant differences in haemoglobin or haematocrit levels between the groups on postoperative days 1, 3 and 5. There were also no statistically significant differences in the total measured blood loss volume, postoperative drainage amounts or transfusion rates between the groups. CONCLUSION: Use of the PS technique during cemented TKA does not appear to influence the amount of perioperative blood loss or the need for postoperative blood transfusion in general. The clinical relevance of this study is that the difference in blood loss between the PCR and PS techniques does not need to be considered by surgeons when performing TKA.

Autonomic dysfunction and circadian blood pressure variations in people with impaired glucose tolerance.

AIMS: To assess circadian blood pressure variability in people with impaired glucose tolerance and a healthy control population. METHODS: Seventy-five people with impaired glucose tolerance and 40 healthy volunteers (frequency matched on 10-year age bands and sex) underwent a detailed neurological assessment. Autonomic neuropathy was detected by the five standard cardiovascular autonomic tests and heart rate variability was characterized by the triangle index. Diurnal indices were assessed by 24-h ambulatory blood pressure monitoring. Systolic and diastolic diurnal indices were defined as: (mean daytime blood pressure - mean night-time blood pressure) × 100/mean daytime blood pressure. RESULTS: Mean 24-h systolic and diastolic blood pressure was significantly higher in the group with impaired glucose tolerance compared with the control group [126 ± 12 (mean ± SD) vs. 117 ± 10, 75 ± 7 vs. 71 ± 6 mmHg, both P < 0.05). Systolic and diastolic diurnal indices and heart rate variability triangular index were significantly lower in people with impaired glucose tolerance compared with control subjects (9.1 ± 7.8 vs. 13.2 ± 5.4, 14.5 ± 9.7 vs. 18.4 ± 7.1 mmHg, 28.0 ± 8.4 vs. 39.5 ± 9.3, all P < 0.05). Differences in mean diastolic blood pressure, heart rate variability triangular index and the frequency of non-dippers between those with impaired glucose tolerance and control subjects seemed to be independent of BMI and the presence of cardiovascular autonomic neuropathy, as simultaneous adjustment for BMI and cardiovascular autonomic neuropathy had no major effect on the results. CONCLUSION: Our data suggest that people with impaired glucose tolerance have increased diastolic blood pressure and abnormal circadian blood pressure regulation, independent of obesity and the presence of cardiovascular autonomic neuropathy.

Effect of time of day and fasting duration on measures of glycaemia: analysis from the Whitehall II Study.

AIMS/HYPOTHESIS: We aimed to study diurnal variation in glucose regulation by examining the effects of time of day and fasting duration on fasting plasma glucose (FPG), 2 h post-load plasma glucose (2hPG) and HbA(1c) levels. METHODS: We analysed data from 5,978 non-diabetic white men and women from the prospective Whitehall II Study. All studied participants fasted for at least 8 h before a clinical examination, which included an OGTT and anthropometric measurements. We fitted mixed-effects models for FPG, 2hPG and HbA(1c) as outcome variables, and time of day and/or fasting duration as explanatory variables. Models were adjusted for age, BMI and study phase. RESULTS: Time of day and fasting duration were associated inversely with FPG and positively with 2hPG. The mean difference between measures at 08:00 and 15:00 hours in men/women was -0.46 (95% CI -0.50, -0.42) mmol/l/-0.39 (95% CI -0.46, -0.31) mmol/l and 1.39 (95% CI 1.25, 1.52) mmol/l/1.19 (95% CI 0.96, 1.42) mmol/l for FPG and 2hPG, respectively. HbA(1c) levels were independent of either time. Time of day and fasting duration were independently associated with 2hPG. In contrast, the effect of fasting duration on FPG was markedly attenuated with adjustment for time of day. Ageing, but not obesity, was associated with increased diurnal variation in glucose tolerance. CONCLUSIONS/INTERPRETATION: Both time of day and fasting duration should be considered in clinical practice and epidemiological studies, since they have clinically relevant effects on FPG and 2hPG levels. As biochemically expected, HbA(1c) levels are independent of time of blood sampling and fasting duration.

Relationship between body mass index and mortality among Europeans.

BACKGROUND/OBJECTIVES: To investigate the relationship between body mass index (BMI) and mortality from various causes. SUBJECTS/METHODS: Data of 72,947 European men and 62,798 women aged 24-99 years at baseline were collaboratively analyzed. Both absolute and relative mortality risks were estimated within each BMI categories. The hazard ratio was estimated using Cox regression analysis adjusting for age, cohort and smoking status. RESULTS: Over a median follow-up of 16.8 years, 29,071 participants died, 13,502 from cardiovascular disease (CVD) and 8748 from cancers of all types. All-cause and cancer mortality showed a U-shaped relationship: decreased first, leveled off, and then increased with increasing BMI with the lowest mortality risk approximately between 23.0 and 28.0 kg/m(2) of BMI in men and 21.0 and 28.0 kg/m(2) in women. The U-shaped relationship held for all-cause mortality but disappeared for cancer mortality among non-smokers. The CVD mortality was constant until a BMI of approximately 28.0 kg/m(2) and then increased gradually in both men and women, which was independent of age, cohort and smoking status. CONCLUSIONS: A U-shaped relationship of BMI with all-cause mortality but a graded relationship with CVD mortality at BMI >28.0 kg/m(2) was detected. The relationship between cancer mortality and BMI largely depended on smoking status, and need to be further investigated with site-specific cancers.

The prevalence and predictors of gestational diabetes mellitus in Hungary.

There are conflicting results regarding the frequency of gestational diabetes (GDM) in Hungary. The aim of this study was to estimate the prevalence of GDM and to clarify the association between selected maternal characteristics and GDM risk. In a population-based screening program of GDM in Tolna County, Hungary, 75 g OGTTs were offered to all pregnant women between 24-28 weeks of gestation and evaluated according to WHO criteria in 2000 (WHO GDM). Women were also classified based on the IADPSG criteria (IADPSG GDM). Selected risk factors were recorded by district nurses. OGTT results were available for 1,835 (81.2%) pregnancies out of 2,261. Altogether 159 (8.7%) were diagnosed as WHO GDM and 304 (16.6%) as IADPSG GDM. Gestational diabetes was related to older age, higher BMI, and an increasing number of deliveries (all p<0.005). The risk of IADPSG GDM monotonously increased with age, -pre-pregnancy BMI and number of deliveries. The risk of WHO GDM increased linearly with age, however, women with the highest BMI (≥ 29.2 kg/m2) had decreased risk compared to women with a BMI of 26.1-29.1 kg/m2 (p<0.05). There was an inverse U-shaped association between GDM risk and number of deliveries with the highest risk observed in those with 3 deliveries (p quadratic term=0.008). We found a high prevalence of GDM in this Caucasian Hungarian population. Our results suggest that pre-pregnancy BMI and previous deliveries elevate the risk of WHO GDM only to a certain level, above which the risk decreases.

Selenium status and blood lipids: the cardiovascular risk in Young Finns study.

BACKGROUND: Concern has been recently raised about possible adverse cardio-metabolic effects of high selenium status, such as increased risks of diabetes and hyperlipidaemia. However, most of the evidence comes from selenium-replete populations such as that of the United States. OBJECTIVES: To examine cross-sectional and longitudinal associations of serum selenium with cardiovascular risk factors in Finland where selenium levels were amongst the lowest in the world until the early 1980s before the implementation of a nationwide selenium fertilization programme. METHODS: Serum selenium was measured in 1235 young Finns aged 3-18 years at baseline in 1980 (prefertilization) and in a subgroup (N = 262) at the 6-year follow-up (1986, postfertilization). During the 27-year follow-up, serum lipids, blood pressure, body mass index and smoking were assessed five times (1980, 1983, 1986, 2001 and 2007). RESULTS: Mean (±SD) serum selenium concentrations were 74.3 ± 14.0 ng mL(-1) in 1980 and 106.6 ± 12.5 ng mL(-1) in 1986 (average increase 32.3 ng mL(-1); 95% CI: 30.3 to 34.3, P < 0.0001). In univariate and multivariable cross-sectional models in 1980 and 1986, increased serum selenium levels were consistently associated with increased total, HDL and Low-density lipoprotein (LDL) cholesterol. However, the average longitudinal changes in lipids were -0.20 mmol L(-1) (95% CI: -0.30 to -0.10, P < 0.0001) for total cholesterol, 0.06 mmol L(-1) (95% CI: 0.03 to 0.10, P < 0.0001) for HDL cholesterol, and -0.23 mmol L(-1) (95% CI: -0.31 to -0.14, P < 0.0001) for LDL cholesterol. Selenium measured in 1986 was not associated with lipids assessed in 2001 and 2007. CONCLUSIONS: Cross-sectional findings from the Young Finns study corroborate positive associations of selenium status with serum lipids. However, longitudinal evidence does not support the causality of this link.

The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes.

AIMS/HYPOTHESIS: The Finnish diabetes risk questionnaire is a widely used, simple tool for identification of those at risk for drug-treated type 2 diabetes. We updated the risk questionnaire by using clinically diagnosed and screen-detected type 2 diabetes instead of drug-treated diabetes as an endpoint and by considering additional predictors. METHODS: Data from 18,301 participants in studies of the Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) project with baseline and follow-up information on oral glucose tolerance status were included. Incidence of type 2 diabetes within 5 years was used as the outcome variable. Improvement in discrimination and classification of the logistic regression model was assessed by the area under the receiver-operating characteristic (ROC) curve and by the net reclassification improvement. Internal validation was by bootstrapping techniques. RESULTS: Of the 18,301 participants, 844 developed type 2 diabetes in a period of 5 years (4.6%). The Finnish risk score had an area under the ROC curve of 0.742 (95% CI 0.726-0.758). Re-estimation of the regression coefficients improved the area under the ROC curve to 0.766 (95% CI 0.750-0.783). Additional items such as male sex, smoking and family history of diabetes (parent, sibling or both) improved the area under the ROC curve and net reclassification. Bootstrapping showed good internal validity. CONCLUSIONS/INTERPRETATION: The predictive value of the original Finnish risk questionnaire could be improved by adding information on sex, smoking and family history of diabetes. The DETECT-2 update of the Finnish diabetes risk questionnaire is an adequate and robust predictor for future screen-detected and clinically diagnosed type 2 diabetes in Europid populations.

Radiological and chemical assessment of phosphate rocks in some countries.

In this study, the radiological, structural and chemical characterizations of Mardin-Mazidagi phosphate rock, which is an important phosphate fertilizer source in Turkey were investigated and compared to those of several different phosphate rocks of Tunisia, Egypt, Morocco, Algeria and Syria using gamma spectrometry, X-ray diffraction (XRD) and X-ray fluorescence (XRF) measurement techniques. Elemental analysis results of phosphate samples showed that they were mainly composed of CaO, P(2)O(5), SiO(2), Al(2)O(3), SO(3) and Fe(2)O(3). Elemental concentrations of U and Th were calculated using (226)Ra and (232)Th activity concentrations, respectively. As a result of XRD analysis, the main peaks of the samples were found to be Fluorapatite (Ca(5)(PO(4))(3)F). The radioactivity concentration levels for (226)Ra, (232)Th and (40)K in all phosphate samples ranged from 250 to 1029 Bq kg(-1) with a mean of 535 Bq kg(-1), from 5 to 50 Bq kg(-1) with a mean of 20 Bq kg(-1) and from 117 to 186 Bq kg(-1) with a mean of 148 Bq kg(-1), respectively. The computed values of annual effective doses ranged from 0.17 to 0.59 mSv, with a mean value of 0.33 mSv, which is lower than the recommended limit of 1 mSv y(-1) by the International Commission on Radiological Protection.

Changes in C-reactive protein levels before type 2 diabetes and cardiovascular death: the Whitehall II study.

OBJECTIVE: Prospective studies show that high C-reactive protein (CRP) levels predict diabetes and cardiovascular disease (CVD), but changes in this marker preceding disease onset are not well characterized. This study describes CRP trajectories prior to type 2 diabetes onset and fatal CVD. METHODS: In a prospective cohort of 7350 British civil servants (70% male, mean age 51 years), 558 incident type 2 diabetes cases (75-g oral glucose tolerance test, doctor's diagnosis, or self-report) and 125 certified fatal cardiovascular events were observed during a median follow-up of >14 years. Trajectories of logarithmically transformed CRP levels prior to incident diabetes or fatal cardiovascular event (cases), or the end of follow-up (controls) were calculated using multilevel modeling. RESULTS: Baseline CRP levels were higher among participants who developed diabetes (median (interquartile range) 1.44 (2.39) vs 0.78 (1.21) mg/l) or fatal CVD (1.49 (2.47) vs 0.84 (1.30) mg/l) compared with controls (both P<0.0001). In models adjusted for age, sex, body mass index, ethnicity, and employment grade, CRP levels increased with time among both incident diabetes cases and controls (P<0.0001), but this increase was less steep for cases group (P<0.05). CRP levels followed increasing linear trajectories in fatal cardiovascular cases and controls (P<0.0001) with no slope difference between the groups. CONCLUSIONS: CRP levels were higher among those who subsequently developed diabetes or died from CVD. For type 2 diabetes, age-related increase in CRP levels was less steep in the cases group than in controls, whereas for fatal CVD these trajectories were parallel.

The effect of paternal and maternal history of diabetes mellitus on the development of gestational diabetes mellitus.

BACKGROUND: There is an ongoing debate whether maternal diabetes is a more important risk factor for gestational diabetes (GDM) development than paternal diabetes. AIM: To describe the risk of GDM associated with paternal and maternal diabetes, and to further characterise GDM women with maternal diabetes. SUBJECTS AND METHODS: Case-control study within a population-based GDM screening program in an urban area of Hungary in 2002-2003. All GDM women (no.=133) and an age-matched control group (no.=135) with a mean age of 31 years was evaluated. Blood pressure, anthropometric data, and blood glucose values from a 75 g Oral Glucose Tolerance Test (OGTT) were recorded at 24-28 weeks of gestation. Family history data were by self-report. RESULTS: Known paternal diabetes was not related to GDM risk [odds ratio (OR) 0.83, 95% confidence interval (CI) 0.35-2.00]. Known maternal diabetes (OR 2.90, 95% CI 0.99-8.49) and diabetes in the maternal line (OR 2.83, 95% CI 1.16-6.89) were both related to GDM after adjustment for body mass index (BMI). GDM women with known maternal diabetes had a higher BMI, 31.6 [9.1] kg/m2 median [interquartile range], than GDM women with or without diabetes in the maternal line, 26.1 [4.9] and 26.3 [6.1] kg/m2, respectively, while figures for fasting glucose during OGTT were 5.2 [0.7] vs 4.4 [1.1] vs 4.9 [0.8] mmol/l respectively (all p<0.05). CONCLUSIONS: Maternal history of diabetes and history of diabetes in the maternal line seems to be a stronger predictor of GDM than paternal history.

Low serum adiponectin predicts 10-year risk of type 2 diabetes and HbA1c independently of obesity, lipids, and inflammation: Whitehall II study.

Our aim of the present work was to study the effect of serum adiponectin on incident diabetes and HbA1c values. We measured baseline serum adiponectin levels in a nested case-control selection (n=140) of the Whitehall II Cohort. Participants (mean [SD] age 50.9 [6.3] years) had no prevalent diabetes or CHD at baseline. Cases (n=55) had incident diabetes according to an oral glucose tolerance test during follow-up (mean: 11.5+/-3.0 years). Adiponectin levels were lower among cases (9.3 microg/ml, 3.2 [median; IQR] vs. 10.5; 3.6, p=0.01). The risk of incident diabetes decreased by 11% (p=0.03) for 1 microg/ml higher adiponectin levels. Higher adiponectin levels were associated with lower HbA1c at follow-up (p<0.05). Both associations were stable to adjustment for age, sex, body mass index, systolic blood pressure, and serum lipids, and for the case of HbA1c, also for C-reactive protein (all p<0.05). The observed robust, prospective associations support that adiponectin is an independent predictor of diabetes and the degree of glycaemic impairment.