High Prevalence Of Prediabetes Research Articles

1478-P: Having Prediabetes before the Detection of Tuberculosis: Does It Have a Negative Influence on Treatment?

Aim: Coexistence of DM and TB influences TB treatment outcomes. TB increases hyperglycaemia due to inflammatory response. Effect of prediabetes (PDM) on TB treatment outcomes is unknown. The aim was to assess the effect of PDM on treatment outcomes after TB treatment. Methods: This is a prospective observational cohort study (EDOTS - part of RePORT India Consortium) of 569 eligible New smear positive cases screened for DM between 2014 to 2018 in TB units in North Chennai, South India. Out of 569 subjects, 179 with a known history of DM were excluded.The remaining 390 screened TB subjects, 120 were excluded based on culture results and unwillingness to participate in the study. HbA1c was assessed at baseline and categorised into two groups (Gp): normoglycaemia (Gp1) (<5.7%) and PDM (Gp 2) (5.7 to 6.4%) and followed them at 3rd and 6th month and treatment outcomes were assessed at the end of the TB treatment. Results: Prevalence of Prediabetes was 41.1%. There was no significant difference in the treatment outcomes between the groups(p=0.54). Total cure rate was 72.7% with no significant difference between the groups. There was a higher proportion of treatment failures (7.9%) amongGp1 as compared to Gp 2 (4.5%) (p = 0.33). There were 15.8 vs. 17.1% treatment defaulters. Higher proportion of deaths occurred during the course of DOTS in Gp 2 (7.2%) compared to Gp 1 (1.3%) (p = 0.06). At the end of intensive phase of DOTS treatment, about 23.8 % were observed to have positive sputum smear in Gp 2 compared to 8.6% in Gp 1 (p=0.019). The estimated relative risk to remain as sputum smear positive among prediabetes at the end of intensive phase was 3.0 (95% CI: 1.2-7.6). Conclusion: Higher prevalence of prediabetes was evident among TB patients. Among those who had prediabetes, death rate was higher during the course of the treatment and higher proportion remained sputum smear positive at the end of the intensive phase of TB treatment. Disclosure V. Viswanathan: None. A. Devarajan: None. S. Kumpatla: None. M. Dhanasekaran: None. S. Babu: None. H. Kornfeld: None. Funding Government of India (BT/MB/INDO-US/REPORT/03/2013-140)

Prediabetes and progression to diabetes among adult survivors of childhood cancer in the St. Jude Lifetime Cohort.

10548 Background: Cardiac death among survivors of childhood cancer occurs at > 10 times the rate expected in the general population. Modifiable cardiovascular risk factors, including diabetes, increase risk for major cardiac events in a near multiplicative fashion. Thus, prevention of progression from prediabetes to diabetes could improve long-term cardiac morbidity and mortality. However, little is known about prediabetes in survivors. Methods: Prevalence of prediabetes (fasting glucose 100-125 mg/dL or HbA1c 5.7-6.4%) and diabetes were assessed in 3529 5+ year survivors ≥18 years of age and compared to 450 community controls stratified by age and matched for race/ethnicity, sex, and BMI using Chi-squared statistics. Logistic regression estimated risk factors for prediabetes and cox proportional hazards regression for progression from prediabetes to diabetes among survivors with multiple visits, reported as odds (OR) and hazard ratio (HR), respectively, with 95% confidence intervals (CI). Results: Among 3529 survivors (median age 30 years, range 18-65), the prevalence of prediabetes overall was 29.2% (95% CI 27.7-30.7) and diabetes was 6.5% (5.7-7.3). In each age strata, survivors had significantly higher prevalence of prediabetes and diabetes than controls with over 50% of middle-aged survivors (35-44 years) having prediabetes or diabetes (Table). In a multivariable model, therapy-related risk factors for prediabetes included high pancreatic tail dose (≥20 Gy: 2.9 [1.8-4.8]) and moderate prescribed cranial radiation dose (OR [95% CI] > 0- < 20 Gy: 1.4 [1.1-1.8], 20- < 30 Gy: 1.4 [1.0-1.9]) independent of age, sex, race/ethnicity and BMI. Among 695 survivors with prediabetes and longitudinal follow-up, median 5.1 years, 68 (10%) progressed to diabetes. After adjustment for age, sex, race/ethnicity and BMI, risk of progression from prediabetes to diabetes was increased by the presence of insulin resistance (HR 4.9 [95% CI 2.3-10.6]) or prior treatment with hematopoietic cell transplant (HR 2.9 [1.1-7.7]) or total body irradiation (HR 4.6 [1.6-13.5]). Conclusions: Survivors of childhood cancer have a high prevalence of prediabetes and high rates of progression to diabetes. Strategies that prevent progression to diabetes should be considered to decrease diabetes risk and subsequent cardiac morbidity and mortality in this high-risk population. [Table: see text]

A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study

ABSTRACTBackgroundDiet is a determinant of gut microbiota. Both diet and gut microbiota have been linked to metabolic diseases.ObjectiveWe aimed to examine data-driven food patterns in relation to the prevalence of prediabetes and gut microbiota composition and food pattern–associated bacteria in relation to prediabetes.MethodsFood patterns were extracted using principal component analysis in 1726 individuals (aged 18–71 y, 55% women, mean BMI = 25.5 kg/m2) without diabetes from the population-based Malmö Offspring Study. The gut (fecal) microbiota was analyzed by sequencing the 16S ribosomal RNA gene (V1–V3 region). Prediabetes classification was based on fasting glucose ≥6.0 mmol/L and/or glycated hemoglobin ≥42 mmol/L at baseline and/or type 2 diabetes diagnosis during follow-up (0–3.8 y). Logistic regression was used to investigate cross-sectional associations with prediabetes, and the general linear model to examine associations between food patterns and bacterial genera.ResultsTwo food patterns, the Health-conscious and the Sugar and High-Fat Dairy patterns, were identified. Adherence to the Health-conscious pattern was associated with a lower prevalence of prediabetes (OR comparing highest quintile with lowest: 0.54; 95% CI: 0.32, 0.92; P-trend = 0.03) and with the abundance of several gut bacterial genera, of which the most robust findings were with a higher abundance of Roseburia and Lachnospira and with a lower abundance of Eubacterium. Roseburia was also associated with a lower prevalence of prediabetes (OR comparing highest quintile with lowest: 0.56; 95% CI: 0.35, 0.92; P-trend = 0.01) and the association between the Health-conscious pattern and prediabetes was attenuated after adjustment for abundance of Roseburia and BMI. Adherence to the Sugar and High-Fat Dairy pattern was associated with a higher prevalence of prediabetes in women (P-trend across food pattern quintiles = 0.03).ConclusionsIn this Swedish population-based study, a Health-conscious food pattern showed an inverse association with the prevalence of prediabetes. Potential underlying explanations may involve links between healthy diet and BMI, as well as gut microbiota, especially a higher abundance of Roseburia.

Draft resolution of the expert council of the сhief specialists of the North-West Federal District on the identification of prediabetes and the prevention of type 2 diabetes mellitus and related diseases of cardiovascular system, liver, musculoskeletal system

Considering high prevalence of prediabetes, exceeding the incidence of type 2 diabetes mellitus, clear algorithms for identifying and managing patients with this pathology is the most important task for doctors of various specialties — therapeutists, cardiologists, general practitioners. The preventive measures are more efficient when started at the stage of prediabetes rather than when type 2 diabetes mellitus has been developed. They help to prevent or delay the development of type 2 diabetes mellitus, its micro- and macrovascular complications, cardiovascular diseases, pathology of muscular-skeletal system and liver. All these measures should be implemented at the stage of primary health care. The resolution presents an algorithm of verifying and management of prediabetes and type 2 diabetes mellitus.

Abstract MP56: Progression of Hyperglycemia in Older Adults: The Atherosclerosis Risk in Communities (ARIC) Study

Introduction: Despite the high prevalence of prediabetes and diabetes in old age, the progression of hyperglycemia in older adults is not well-characterized. Objective: To characterize prevalence and predictors of hyperglycemia progression during 5 years of follow-up among 2894 older adults without diabetes (mean age 76, 60% female, 18% black). Methods: Using data from the ARIC Study, we report according to hyperglycemia (normal or prediabetes) status at baseline (visit 5, 2011-13) the incidence of visit 6 (2016-17) outcomes (normoglycemia, prediabetes, diabetes, or mortality). Multinomial logistic regression was used to identify predictors of these outcomes stratified by baseline hyperglycemia status. In a sensitivity analysis, we applied inverse probability of attrition weights (IPAW) to account for informative missingness. Results: Most participants (64%) with normal HbA1c at baseline had normal HbA1c at the follow-up visit, 19% progressed to prediabetes, 16% died, and 1% developed diabetes (HbA1c ≥6.5% or diabetes medication use or self-report diagnosis). Among participants with prediabetes at baseline, most remained prediabetic 5 years later (61%), 18% died, 14% reverted to normoglycemia, and 7% developed diabetes. Black participants, men, and those with hypercholesterolemia had a higher risk of hyperglycemia progression ( Table ). Physical activity was inversely associated with risk of progression. Body mass index (BMI) in older age was not associated with hyperglycemia progression and BMI was inversely associated with mortality. Results were similar when we used IPAW. Conclusions: In this community-based population of older adults, progression from prediabetes to diabetes was relatively uncommon over the 5 year period. Risk factors for hyperglycemia progression and mortality, such as BMI, may differ when measured in older adulthood. We also identified subgroups with higher risk of hyperglycemia progression in older age and who may benefit from targeted diabetes prevention efforts.

Abstract MP03: The Association of the Parent-Child Acculturation Gap With Obesity and Cardiometabolic Risk in Hispanic/Latino Youth: Results From the Hispanic Community Children's Health Study/Study of Latino Youth (SOL Youth)

Introduction: Hispanic/Latino youth are disproportionately burdened by obesity and have a high prevalence of pre-diabetes and dyslipidemia. Acculturation may help explain this elevated cardiometabolic risk. Within immigrant families, parents and children acculturate at different rates. A difference in the degree of acculturation, known as the “acculturation gap”, between parents and their children has been associated with behaviors that may increase cardiometabolic risk in youth. However, no previous studies have investigated the association between the parent-child acculturation gap and cardiometabolic health. Hypothesis: We tested whether greater gaps in parent-child acculturation were associated with worse cardiometabolic health in Hispanic/Latino youth. Methods: Hispanic/Latino youth ( n =1466, 8-16-year-olds) and parents from the Hispanic Community Children’s Health Study/Study of Latino Youth (SOL Youth) were examined. Mean scores on the Brief Acculturation Rating Scale for Mexican Americans-II (ARSMA-II) Anglo and Latino Orientation Scales (AOS and LOS, respectively) were used to represent parent and youth acculturation. The Brief ARSMA-II primarily assesses language use patterns on a 5-point Likert-type scale, with higher scores on the AOS indicating a preference for English and higher scores on the LOS indicating a preference for Spanish. Cardiometabolic markers included youth body mass index (BMI) percentile, blood pressure percentiles, fasting glucose, HOMA-IR, HbA1c, cholesterol, triglycerides, and hsCRP. Missing data were addressed using multiple imputation. Survey-weighted multivariable linear regression examined associations of youth, parent, and youth x parent (the acculturation gap) scores for the AOS and LOS scales separately with each cardiometabolic marker. Results: On average, compared to their parents, youth reported a greater preference for English and a lower preference for Spanish (AOS=4.2 vs. 2.7; LOS=3.1 vs. 4.2, respectively). Greater discordance (i.e., an acculturation gap) in parent and youth AOS scores was associated with elevated BMI percentile only (p-for-interaction≤0.001). The LOS acculturation gap was not associated with any cardiometabolic measures. Adjustment for acculturative stress, family functioning and closeness, parenting style, and youth’s diet and physical activity did not alter the findings. Removal of non-significant acculturation gaps indicated an inverse association between parent AOS score and youth SBP percentile (β=-2.47, 95% CI: -4.73, -0.21) and between parent LOS score and youth total cholesterol (β=-2.87, 95% CI: -5.52, -0.21). Conclusions: Discrepancies in English language use in parent-child dyads may relate to increased obesity risk in Hispanic/Latino youth. Future studies are needed to identify mediators of this association, such as general stress and English language fluency.

Epidemiology of diabetes mellitus, pre-diabetes, undiagnosed and uncontrolled diabetes in Central Iran: results from Yazd health study

BackgroundOver the past few decades, the prevalence of Diabetes Mellitus (DM) has risen rapidly in Iran and other low and middle-income countries. We investigated the prevalence of DM, pre-diabetes, undiagnosed and uncontrolled diabetes and its relationship with some associated socioeconomic factors in the Yazd Greater Area in Iran.MethodsYazd Health Study is a longitudinal study conducted to determine the prevalence of non-communicable disease and related risk factors. In a two-step cluster sampling, 10,000 adults aged 20–69 years (200 clusters) were selected. In the recruitment phase, DM was considered if the patients had been either diagnosed DM by a physician or had fasting blood glucose ≥ 126 mg/dL. Chi square test was used for categorical variables to evaluate the differences and logistic regression model was applied to determine the predictors of diabetes.. P-value < 0.05 considered statistically significant.ResultsOf the 9965 individuals recruited, the crude self-reported prevalence of DM was 14.1% (95% CI: 13.4–14.7). The prevalence was higher in women than men (15.6 vs.12.4%), significantly. The age-standardized prevalence of DM was 8%. The prevalence was 14.9% in Yazd local people and 8.6% in those residents migrated from other provinces (P < 0.0001). We showed a significant association between DM prevalence and age, education, marital status, unemployment, insurance status, and positive family history (P < 0.0001). The prevalence of DM diagnosed by phycisians was 16.1% in participants (age-standardized prevalence: 8.3%). The subset analysis showed that 4.8% of patients were not aware of their disease. The prevalence of pre-diabetes was 25.8%. Of those with diabetes, 58.3% were not adequately controlled, which is not statistically significant with socio-economic status.ConclusionThe current study showed a high prevalence of DM in Yazd Greater Area which is closely related to some socio-demographic factors. The high prevalence of pre-diabetes is alarming. Effective strategies for DM prevention should be introduced. The majority of people with diabetes are aware, but half of them are not controlled. The ineffective care plan currently in use, should be reviewed. Patients needs to be encouraged to improve their lifestyle. Active follow-up of patients is recommended to ensure continuity of care.

Correlation between glucose metabolism and serum steroid hormones in patients with polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is associated with an increased prevalence of dysglycaemia, which includes impaired glucose tolerance and type 2 diabetes mellitus (T2DM). Patients with PCOS demonstrate abnormal patterns of steroid hormones. Here, we analyse the correlation between glucose metabolism and serum steroid hormones in PCOS. Observational double-centre study. 914 patients with PCOS. We assessed the glucose metabolism status of all patients according to the 1999 WHO criteria. Serum steroid hormones were measured by liquid chromatography-tandem mass spectrometry. The median age of the patients was 26years (interquartile range: 21-30), and 40.6% (371/914) had abnormal glucose metabolism: 29.3% (268/914) had prediabetes, and 11.3% (103/914) had T2DM. Correlation analysis not adjusting for confounding factors revealed that serum aldosterone, androstenedione, oestrone, pregnenolone and the free androgen index were positively correlated, while progesterone was negatively correlated with the risk of abnormal glucose metabolism. After adjusting for age, body mass index and fasting insulin levels in the logistic regression model, only aldosterone (P=.013), androstenedione (P=.046) and oestrone (P=.014; in quartiles) were correlated with the risk of abnormal glucose metabolism. This study indicates a high prevalence of prediabetes and T2DM in patients with PCOS. Furthermore, there were positive correlations of serum aldosterone, androstenedione and oestrone with the risk of abnormal glucose metabolism after adjusting for confounding factors.

Effectiveness of digital health using the transtheoretical model to prevent or delay type 2 diabetes in impaired glucose tolerance patients: protocol for a randomized control trial

BackgroundThere is high prevalence of prediabetes and type 2 diabetes mellitus (T2DM) in Saudi Arabia that is still increasing. Early diagnosis of prediabetes, and immediate, effective intervention is yet unestablished. Conventional health promotion approaches are used to educate prediabetic patients. Behavior modification is very effective in prediabetics to delay T2DM. Thus, the main objective of this study is to examine the effect of the new behavioral model, the Transtheoretical Model short messages (text 4 change) to modify lifestyle to prevent or delay the onset of T2DM, through promotion of a healthy diet and increased physical activity, in impaired glucose tolerance patients. Another objective is to estimate the impact of this model on markers of cardiovascular and metabolic risks as T2DM is one of the modifiable risk factors to prevent cardiovascular diseases.MethodsThis is a randomized controlled trial. One thousand and sixteen, eligible Saudi adults will be recruited from the Heart Health Promotion study (HHP), which was conducted at the King Saud University from July 2013 to April 2014. These adults were at a higher risk of developing T2DM within 2–3 years. The research team’s database has a contact list and they will recruit individuals over 6–8 weeks. All participants will be randomized at a 1:1 ratio into two groups, receive group education about lifestyle modifications and written information about diet and physical activity. Text 4 change SMS texts will be sent only to the intervention group. All participants will be assessed at baseline, 6, 12, 18, 24, 30, and 36 months for behavioral change using a World Health Organization (WHO) STEPS questionnaire and for glycated hemoglobin, biochemical and anthropometric measurements using standard methods.DiscussionThis new approach for promoting the importance of behavior modification in prediabetics is expected to delay and/or prevent the development of T2DM in Saudi Arabia, subsequently reducing the risk of cardiovascular morbidity and mortality too. Results from this study will promote an innovative and high-tech way to decrease the burden of cardiovascular diseases in Saudi Arabia.Trial registrationInternational Standard Randomized Control Trial, registration number ISRCTN10857643. Registered 4 June, 2018.

Prevalence and the Association of Body Mass Index and Other Risk Factors with Prediabetes and Type 2 Diabetes Among 50,867 Adults in China and Sweden: A Cross-Sectional Study.

IntroductionUnderstanding socioeconomic differences for prediabetes and type 2 diabetes (T2DM) can offer guidance for the most effective development of both prevention and intervention programmes in different settings. This study aims to determine the prevalence and risk factors for prediabetes and T2DM and to explore the effect of high body mass index (BMI) on the probability of T2DM being present among adults in China and Sweden.MethodsThis study enrolled 25,356 adults (35–64 years old) from the Shanghai Survey in China and 25,511 adults (aged 40, 50, 60) from the Västerbotten Intervention Programme in Sweden. Data on haemoglobin A1c, capillary fasting plasma glucose, 2-h plasma glucose and self-reported diagnoses of T2DM were used in the analysis. Multinomial logistic regression was used to examine the determinants of prediabetes and T2DM. The average predicted probabilities of T2DM developing or presenting were determined for the different ages and levels of BMI in each population.ResultsChinese participants had a higher adjusted prevalence of T2DM (men 12.8% vs. 4.6%; women 10.6% vs. 3.1%) and prediabetes (men 12.4% vs. 12.2%; women 14.4% vs. 12.2%) than Swedish participants. Age, overweightedness/obesity, hypertension and a family history of diabetes were significant risk factors for prediabetes and T2DM. In both populations, the predicted probability of T2DM increased as the BMI increased in all age groups. At the same BMI level, Chinese participants were more likely to have T2DM compared to their Swedish counterparts. The average predicted probability of T2DM was less than 20% in nearly all age groups among Swedish women.ConclusionsChinese adults had the higher prevalence of prediabetes and T2DM and a higher probability of T2DM at the same BMI level compared with Swedish adults. These results indicate the importance of addressing the ongoing obesity epidemic as a matter of urgency in order to curb what has become an apparent diabetes epidemic in both countries.Electronic Supplementary MaterialThe online version of this article (10.1007/s13300-019-00690-3) contains supplementary material, which is available to authorized users.

Prevalence of prediabetes in children and its association with risk factors

Background: Type 2 Diabetes is becoming more common at younger age group. It is important to screen children and adolescents for prediabetes to prevent long-term complications of diabetes. This study was conducted to study the prevalence of prediabetes in children and its association with risk factorsMethods: It is a Prospective hospital-based study. Children aged 6 to 18 years admitted in the Pediatric ward of tertiary care hospital were included. Study was done over a period of 2 years November 2015-October 2017. Participants were screened to find out the prevalence of prediabetes. Prediabetes was defined as fasting glucose concentration (FBS)of 100-125 mg/dl or a HbA1c value of between 5.7% and 6.4%, or a two-hour post-glucose tolerance concentration (OGTT) of 140-199mg/dl.Results: 607 children participated in the study.56.3% were males. Prevalence of Prediabetes was 20.4% with a combination of OGTT, FBS and HbA1c tests. Prevalence by OGTT was 5.9%, HbA1c 4.1% and by FBS was 17.1%. Higher prevalence of prediabetes was associated with male gender, frequent consumption of junk foods, decreased physical activities, overweight, obesity and high waist to hip ratio. Combination of FBS with GTT and FBS with HbA1c had better sensitivity and specificity when compared to combination of OGTT with HbA1c .Conclusion: Screening of children for prediabetes at younger age especially those with risk factors and intervention with lifestyle modification may help in delaying the progression of the disease.

Hyperglycemia and insulin function in antiretroviral treatment-naive HIV patients in Ethiopia: a potential new entity of diabetes in HIV?

Although diabetes is more common in HIV patients, the direct link between HIV and diabetes is unknown. Glucose abnormalities should be assessed among antiretroviral treatment (ART)-naive patients to reduce confounding by ART. We assessed diabetes status, insulin function and association with inflammation among Ethiopian ART-naive HIV patients. Among HIV patients initiating ART, we used glycosylated hemoglobin (HbA1c) and oral glucose tolerance test (OGTT) to define prediabetes and diabetes. Insulin during OGTT was determined to calculate insulin function, and C-reactive protein and α1-acid glycoprotein were used as same-day markers of inflammation. Among 332 HIV patients, mean (SD) age was 32.9 (8.8) years, and 222 (66.9%) were women. None had known diabetes, but we found diabetes prevalence using OGTT and HbA1c to be 7.6 and 8.5%, respectively. C-reactive protein and α1-acid glycoprotein were positively associated with hyperglycemia and insulin deficiency, but not insulin resistance. We found poor correlation between traditional risk factors (age and anthropometry) and diabetes, but participants generally had low BMI and waist circumference. ART-naive Ethiopian HIV patients had a high prevalence of prediabetes and diabetes, with a poor agreement between HbA1c and OGTT. Diabetes was associated with inflammation, but not with adiposity and age. Diabetes was linked to insulin deficiency, rather than insulin resistance, which may represent a different entity than type 1 and 2 diabetes. This has implications for choice of drugs, when managing diabetes in African HIV patients.

Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design

BackgroundRecent studies suggest that people with diabetes or who are at risk of developing diabetes, i.e. prediabetic (preDM), are potentially susceptible to air pollution, but the underlying mechanisms remain unclear because the existing epidemiological studies did not include healthy control groups and only focused on limited health outcomes. We hypothesized that acute exposure to ambient fine particles (PM2.5) will lead to enhanced pulmonary and cardiometabolic changes in preDM than healthy individuals.MethodsWe recruited 60 preDM and 60 healthy individuals from a community of 22,343 adults in Beijing China, and arranged each subject to complete up to seven repeated clinical visits with measures of 6 cardiopulmonary biomarkers, 6 cytokines, 4 blood pressure and endothelial function outcomes and 4 glucose metabolism biomarkers.. Moving averaged daily ambient PM2.5 in preceding 1–14 days was matched to each subject and the PM2.5 associated effect on multiple biomarkers was estimated and compared between PreDM and healthy subjects based on linear mixed effect model.ResultsAll the subjects exhibited significant acute elevation of exhaled nitric oxide, white blood cells, neutrophils, interleukin-1α, and glycated haemoglobin with increased exposure to PM2.5. PreDM subjects had significant stronger adverse changes compared to healthy subjects in 6 cardiometabolic biomarkers, namely, interleukin-2, interleukin-8, systolic and diastolic blood pressure, augmentation pressure, and glucose. The maximum elevation of these 6 biomarkers in PreDM subjects were 8.6% [CI: 4.1–13.3%], 10.0% [CI: 3.9–16.4%], 1.9% [CI: 0.2–3.6%], 1.2% [CI: − 0.1-2.4%], 5.7% [CI: − 0.1-11.8%], 2.4% [CI: 0.7–4.2%], respectively, per an interquartile increase of ambient PM2.5 (61.4 μg m− 3) throughout the exposure window of the preceding 1–14 days. No significant difference was observed for the changes in pulmonary biomarkers between the two groups.ConclusionsPreDM individuals are more susceptible to the acute cardiometabolic effect of air pollution than the healthy individuals. A considerable public health burden can be inferred, given the high prevalence of prediabetes and the ubiquity of air pollution in China and worldwide.

High prevalence of prediabetes and metabolic abnormalities in overweight or obese schizophrenia patients treated with clozapine or olanzapine.

To assess the prevalence of prediabetes and metabolic abnormalities among overweight or obese clozapine- or olanzapine-treated schizophrenia patients, and to identify characteristics of the schizophrenia group with prediabetes. A cross-sectional study assessing the presence of prediabetes and metabolic abnormalities in schizophrenia clozapine- or olanzapine-treated patients with a body mass index (BMI) ≥27 kg/m2. Procedures were part of the screening process for a randomized, placebo-controlled trial evaluating liraglutide vs placebo for improving glucose tolerance. For comparison, an age-, sex-, and BMI-matched healthy control group without psychiatric illness and prediabetes was included. Prediabetes was defined as elevated fasting plasma glucose and/or impaired glucose tolerance and/or elevated glycated hemoglobin A1c. Among 145 schizophrenia patients (age = 42.1 years; males = 59.3%) on clozapine or olanzapine (clozapine/olanzapine/both: 73.8%/24.1%/2.1%), prediabetes was present in 69.7% (101 out of 145). While schizophrenia patients with and without prediabetes did not differ regarding demographic, illness, or antipsychotic treatment variables, metabolic abnormalities (waist circumference: 116.7±13.7 vs 110.1±13.6 cm, P = 0.007; triglycerides: 2.3±1.4 vs 1.6±0.9 mmol/L, P = 0.0004) and metabolic syndrome (76.2% vs 40.9%, P<0.0001) were significantly more pronounced in schizophrenia patients with vs without prediabetes. The age-, sex-, and BMI-matched healthy controls had significantly better glucose tolerance compared to both groups of patients with schizophrenia. The healthy controls also had higher levels of high-density lipoprotein compared to patients with schizophrenia and prediabetes. Prediabetes and metabolic abnormalities were highly prevalent among the clozapine- and olanzapine-treated patients with schizophrenia, putting these patients at great risk for later type 2 diabetes and cardiovascular disease. These results stress the importance of identifying and adequately treating prediabetes and metabolic abnormalities among clozapine- and olanzapine-treated patients with schizophrenia.

High prevalence of prediabetes among the family members of individuals with diabetes. Findings from targeted screening program from south India

AimWe aimed to screen for prediabetes, diabetes and other cardiovascular risk factors among family members of people with diabetes registered for care in a primary health centre in South India. MethodsDuring 2017–2018, we screened eligible family members of individuals with diabetes at their homes. We measured fasting capillary blood glucose (FCBG); for those with FCBG≥126 mg/dl, we confirmed the diagnosis of diabetes with fasting plasma glucose (FPG). We defined prediabetes as FCBG between 100 and 125 mg/dl; diabetes as both FCBG and FPG ≥126 mg/dl. We assessed non-communicable disease risk factors using WHO STEPS questionnaire. ResultsOf total 884 participants, 873 (99%) underwent screening; 280 (32%) had prediabetes, and 19 (2.2%) were confirmed with diabetes. Of newly diagnosed, 17 (90%) were initiated on treatment. Of 873 participants, 180 (20.6%) were newly diagnosed with hypertension. Of the total, 7.3%, 5.2% and 16% reported tobacco use, alcohol use and high salt intake respectively. Nearly half (48%) had overweight. ConclusionThough the yield for diabetes is modest (3%), the house to house approach was able to screen 99% of eligible population. High prevalence of prediabetes and undiagnosed hypertension emphasize the need for screening and life style modifications.

Prediabetic state and dyslipidemia in freshmen in Health Sciences campus of a Mexican University

Objective: given the dramatic increase of diabetes in the world, the objective of this research was to analyze the values of blood glucose in a university population again income to support strategies for detection and preventive management of pre-diabetes and diabetes. Materials and methods: this is an observational, analytical, cross-sectional, non-probabilistic study to analyze biochemical markers in two freshman populations in a School of Medicine, 367 students enrolled in 2011 and 430 enrolled in 2016. The study variables were glycemia, triglyceridemia, and cholesterolemia. Statistical measures of central tendency, dispersions, and correlations for the groups, and applied Chi-square to clinical categories was analiced. Results: It was found significant increases in women in glycemia between 2011 and 2016: t = -4.582 (p = 0.0001) and cholesterolemia t = -9.124 (p = 0.0001). Men had significant increases in glycemia with t = -6.428 (p = 0.0001) and cholesterolemia with t = -9.499 (p = 0.0001). There was a higher prevalence of prediabetes and total cholesterol in borderline levels and risks in the 2016-population. We found correlation in men and women regarding glucose-triglycerides, glucose-cholesterol, and cholesterol-triglycerides in both populations. Conclusions: in the sample of 2016 there was increase in young adults at risk of developing type 2 diabetes mellitus and atherosclerosis by what is needed to develop strategies to improve lifestyle.

Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey

BackgroundDiabetes Mellitus is one of the four major non-communicable diseases causing about 4 million deaths in 2017. By 2040, low income countries are projected to experience 92% increase in mortality due to diabetes. Undiagnosed diabetes poses a public health concern with costly public health implications especially in Africa. It is therefore crucial to examine the burden and risk factors for diabetes at national level to inform policy and national programs.MethodsData from the 2015 Kenya national STEPs survey of adults aged 18–69 years were used. Pre-diabetes was defined as impaired fasting blood glucose level (6.1 mmol/l to < 7 mmol/l) while diabetes was defined as impaired fasting blood glucose level ≥ 7 mmol/l. Descriptive statistics were used to determine the prevalence of pre-diabetes and diabetes and logistic regression was used to identify associated factors.ResultsComplete data for 4069 respondents (51% females), with 46% aged 18–29 and 61% in rural areas were analyzed. The age-standardized prevalence for pre-diabetes and diabetes were 3.1% (95% CI: 2.2, 4.0) and 2.4% (1.8, 3.0) respectively. Only 43.7% were aware of their glycemic condition, one in five of those who had diabetes had received treatment, and only 7% of those diagnosed with diabetes had their blood glucose under control. Primary education ((both incomplete (0.21, 95%CI 0.10–0.47) and complete (0.40, 95%CI 0.23–0.71)) were associated with lower odds of pre-diabetes. Older age (60–69 years, AOR; 5.6, 95%CI 2.1–15.1) and raised blood pressure (2.8, 95% CI 1.5–5.0) were associated diabetes while overweight/obesity among women was associated with diabetes.ConclusionThe overall diabetes prevalence in Kenya is consistent with what has been reported in other sub-Saharan African countries. Of concern is the higher prevalence of pre-diabetes and undiagnosed diabetes that can progress to complications in the absence of interventions and the low diabetes awareness and control. This is the first nationally representative study to identify important groups at risk of pre-diabetes and diabetes that can be targeted for screening, health promotion and treatment.

Association of abdominal muscle composition with prediabetes and diabetes: The CARDIA study.

To evaluate the relationship of abdominal muscle lean tissue and adipose tissue volumes with prediabetes and diabetes. We measured abdominal muscle composition in 3170 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study who underwent computed tomography (CT) at Year 25 of follow-up (ages, 43-55 years). Multinomial regression analysis was used to evaluate the associations of CT-measured intermuscular adipose tissue (IMAT), lean muscle tissue (lean) and visceral adipose tissue (VAT) volumes with diabetes at any point during the CARDIA study, newly detected prediabetes, prior history of prediabetes, and normal glucose tolerance. Models were adjusted for potential confounding factors: age, sex, race, height, smoking status, hypertension, hyperlipidaemia, cardiorespiratory fitness and study centre. Higher IMAT, lean and VAT volumes were all separately associated with a higher prevalence of prediabetes and diabetes. Inclusion of VAT volume in models with both IMAT volume and lean volume attenuated the association of IMAT with both prediabetes and diabetes, but higher lean volume retained its association with prediabetes and diabetes. Individuals in the highest IMAT quartile, coupled with VAT in its lower three quartiles, had a higher prevalence of diabetes, but not of prediabetes, than those with both IMAT and VAT in their respective lower three quartiles. Adjusting for cardiorespiratory fitness did not substantially change the findings. Higher IMAT volume was associated with a higher prevalence of diabetes even after adjustment for VAT volume. However, further study is warranted to understand the complicated relationship between abdominal muscle and adipose tissues.

Distinct metabolic profile according to the shape of the oral glucose tolerance test curve is related to whole glucose excursion: a cross-sectional study

BackgroundThe shapes of the plasma glucose concentration curve during the oral glucose tolerance test are related to different metabolic risk profiles and future risk of type 2 DM. We sought to further analyze the relationship between the specific shapes and hyperglycemic states, the metabolic syndrome and hormones involved in carbohydrate and lipid metabolism, and to isolate the effect of the shape by adjusting for the area under the glucose curve.MethodsOne hundred twenty one adult participants underwent a 2-h oral glucose tolerance test and were assigned to either the monophasic (n = 97) or the biphasic (n = 24) group based upon the rise and fall of their plasma glucose concentration. We evaluated anthropometric measures, blood pressure, lipid profile, high-sensitivity C-reactive protein, glycated hemoglobin, insulin sensitivity, beta-cell function, C-peptide, glucagon, adiponectin and pancreatic polypeptide.ResultsSubjects with monophasic curves had higher fasting and 2-h plasma glucose levels, while presenting lower insulin sensitivity, beta-cell function, HDL cholesterol, adiponectin and pancreatic polypeptide levels. Prediabetes and metabolic syndrome had a higher prevalence in this group. Glycated hemoglobin, total cholesterol, triglycerides, high-sensitivity C-reactive protein and glucagon were not significantly different between groups. After adjusting for the area under the glucose curve, only the differences in the 1-h and 2-h plasma glucose concentrations and HDL cholesterol levels between the monophasic and biphasic groups remained statistically significant.ConclusionsRates and intensity of metabolic dysfunction are higher in subjects with monophasic curves, who have lower insulin sensitivity and beta-cell function and a higher prevalence of prediabetes and metabolic syndrome. These differences, however, seem to be dependent on the area under the glucose curve.

Ethnicity and Common Genetic Variants Modulate Nonalcoholic Fatty Liver Disease (NAFLD) Metabolic Phenotype in Obese Youth

Background: Pediatric Nonalcoholic Fatty Liver Disease (NAFLD) represents a major risk factor for insulin resistance and type 2 diabetes in adolescents. Methods: To characterize the clinical and genetic features associated with the development of pediatric NAFLD, 503 obese adolescents (191 Caucasians, 134 African Americans, and 178 Hispanics) underwent a MRI to quantify hepatic fat content, an oral glucose tolerance test to assess glucose tolerance and insulin sensitivity, and the genotyping of three SNPs associated with NAFLD (PNPLA3 rs738409, GCKR rs1260326, and TM6SF2 rs58542926). MRI and metabolic assessments were repeated in 133 patients after 2.27±1.44 years. Results: The prevalence of NAFLD was 42.9% in Caucasians, 15.7% in African Americans, and 59.6% in Hispanics (p&amp;lt;0.0001). Compared to Caucasians and Hispanics with NAFLD, African Americans adolescents with NAFLD had higher fasting glucose (p=0.03), insulin (p=0.0004), C-peptide (p=0.04), 2-h-glucose (p=0.04), HbA1c (p&amp;lt;0.0001), and lower insulin sensitivity (p=0.03), despite similar age (p=0.34) and gender distribution (p=0.37). This translated in a higher prevalence of prediabetes and type 2 diabetes in African Americans (66.6%) compared to Caucasians (24.4%) and Hispanics (31.1%) with NAFLD (p=0.0003). Analysis of the patients without NAFLD at baseline showed that ethnicity (p=0.02), high C-peptide levels (p=0.0006), changes in z-score BMI over time (p=0.0006) and common gene variants were strong predictors of NAFLD development at follow-up (AUROC curve 0.976). Conclusions: African American obese adolescents are relatively protected from NAFLD, but are more susceptible to the deleterious effects of NAFLD on glucose metabolism. The combination of ethnicity, markers of insulin resistance and genetic factors are strong predictors of pediatric NAFLD. Disclosure D. Trico: None. S. Caprio: None. G.R. Umano: None. A. Galderisi: None. M.M. Mata: None. J. Nouws: None. B. Pierpont: None. G. Kim: None. N. Santoro: None.