Prevalence of diabetes and predictions of its risks using anthropometric measures in southwest rural areas of China

Assessment of Cognitive Flexibility in Jordanian Diabetic Patients by Wisconsin Card Sorting and Trail Making Tests: Implications with Demographic, Anthropometric and Therapeutic Variables

Purpose

Cognitive flexibility is a mental ability that aids in smoothly alternating between them tasks in the brain. Diabetes Mellitus (DM) is a, common disorder that has been associated with impairments in cognitive functions. This research is a retrospective case-control study aimed at establishing a clear relationship between cognitive flexibility and diabetes among Jordanians, considering demographic, anthropometric, and therapeutic variables.

Patients and Methods

The Wisconsin Card Sorting Test (WCST)-64 item and the Trail Making Test (TMT) assessed cognitive flexibility in 268 people with diabetes and healthy control. Demographic, therapeutic data were collected. We also measured waist-to-hip ratio (WHR) and body mass index (BMI). As the variables were non-normally distributed, non-parametric statistical tests were used to examine differences (Kruskal-Wallis) and correlation (Spearman) between variables.

Results

The patient group did worse on the WCST In contrast to the control group, patients exhibited more significant delays for both Part A and Part B of the TMT (p<0.05). Males had higher WCST conceptual level responses than females. In addition, participants with professional jobs showed less delay in TMT Part A (p<0.05). Age was positively correlated with WCST's total errors and TMT's Parts A and B (p<0.05). BMI was negatively correlated with the WCST's conceptual level of responses and positively correlated with TMT's Part B (p<0.05). In addition, urea and albumin levels were positively correlated with TMT's Part A (p<0.05). Furthermore, creatinine was positively correlated with WCST's total errors and TMT's Part A (p<0.05).

Conclusion

Some measures of cognitive flexibility are associated with DM status in the studied sample of Jordanians and other variables (educational levels, occupation, lifestyle, average duration of illness, and age).

Changes in physical activity and energy intake according to abdominal obesity in Korean adult men before and after COVID-19: Data from 2019 and 2020 Korea National Health and Nutrition Examination Survey (KNHANES)

[Purpose] This study aimed to investigate changes in physical activity and energy intake according to abdominal obesity in Korean adult men before and after COVID-19.[Methods] Using data from the 2019 and 2020 KNHANES, the physical activity level measured by the Global Physical Activity Questionnaire (GPAQ) the physical activity level by GPAQ, number of days of walking and strength training, aerobic exercise, and total energy, protein, fat, carbohydrate, dietary fiber, and sugar intake for a total of 2,799 participants were analyzed.[Results] There were no changes in energy intake during the pandemic. The number of days of weekly walking was higher (2019, <i>p</i> = 0.006; 2020, <i>p</i> = 0.012) and strength training was significantly higher (2019, <i>p</i> < 0.0001; 2020 <i>p</i> < 0.0001) in the non-abdominal obesity group than in the abdominal obesity group before and after COVID-19. Strength training at least once a week suppressed abdominal obesity (0.628 times in 2019, <i>p</i> < 0.0001; 0.605 times in 2020, <i>p</i> < 0.0001). In addition, even when the total energy intake and age were adjusted for, strength training influenced the suppression of abdominal obesity (0.634 times in 2019, <i>p</i> < 0.0001; 0.614 times in 2020, <i>p</i> < 0.0001).[Conclusion] Even with the change in the physical activity level, such as walking and aerobic exercise, due to the influence of social distancing measures, strength training influenced the suppression of abdominal obesity, regardless of the COVID-19 pandemic.

The prevalence and predictors of pre-diabetes and diabetes among adults 40-70 years in Kharameh cohort study: A population-based study in Fars province, south of Iran

Purpose

In this study, the prevalence of diabetes and pre-diabetes (pre-DM) has been estimated; also, some factors related to diabetes and pre-diabetes in the city of Kharameh, southern Iran, were investigated.

Methods

This cross-sectional study was conducted on a total of 10,474 subjects aged 40-70 years who participated in phase one of PERSIAN Kharameh cohort carried out between 2015 and 2016. Eligible individuals were included in the study by census method.

Results

Prevalence of diabetes is 20.17% (95% CI: 19.95-20.39) and that of pre-diabetes is 15.74% (95% CI 15.54-15.93). Multivariate logistic regression results showed that the prevalence of diabetes had a direct relationship with increasing age (p < 0.001), being single (p = 0.005), family history of diabetes (p < 0.001), abdominal obesity (p < 0.001), hypertension (p: < 0.001), and high triglycerides (p: < 0.001); also, it had an inverse relationship with residence in rural areas (p < 0.001), education (p < 0.001), and employment (p < 0.001).Also, the prevalence of pre-diabetes showed a direct relationship with increasing age (60-70 years p = 0.010), being single (p = 0.004), living in rural areas (P < 0.001), having a family history of diabetes ( both P = 0.023), abdominal obesity (P < 0.001), hypertension (P < 0.001), high cholesterol (P < 0.001) and high triglycerides (P < 0.001), and an inverse relationship with female gender (P < 0.001), education (high school P = 0.022), employment (P = 0.010), and smoking habit (P = 0.019). These results were all statistically significant.

Conclusion

The present study shows the high prevalence of diabetes and pre- diabetes in the city of Kharameh. Diabetes prevention policies should be developed and implemented for the public.

P2X7 Receptor Deficiency Ameliorates STZ-induced Cardiac Damage and Remodeling Through PKCβ and ERK

Diabetic cardiomyopathy (DCM) is a complication of diabetes mellitus which result in cardiac remodeling and subsequent heart failure. However, the role of P2X7 receptor (P2X7R) in DCM has yet to be elucidated. The principal objective of this study was to investigate whether P2X7R participates in the pathogenesis of DCM. In this study, the C57BL/6 diabetic mouse model was treated with a P2X7R inhibitor (A438079). Cardiac dysfunction and remodeling were attenuated by the intraperitoneal injection of A438079 or P2X7R deficiency. In vitro, A438079 reduced high glucose (HG) induced cell damage in H9c2 cells and primary rat cardiomyocytes. Furthermore, HG/streptozotocin (STZ)-induced P2X7R activation mediated downstream protein kinase C-β (PKCβ) and extracellular regulated protein kinases (ERK) activation. This study provided evidence that P2X7R plays an important role in the pathogenesis of STZ-induced diabetic cardiac damage and remodeling through the PKCβ/ERK axis and suggested that P2X7R might be a potential target in the treatment of diabetic cardiomyopathy.

Anthropometry did not approach adequate predictive accuracies for detecting elevated fasting plasma glucose or hemoglobin A1c levels among Chinese children aged 7-9 years

AIMS/INTRODUCTION

Elevated concentrations of fasting plasma glucose (FPG) or hemoglobin A1c (HbA1c) are well-established independent risk factors for progression to diabetes, cardiovascular comorbidities and mortality. Most previous studies on the relationships of anthropometric measures with hyperglycemia were carried out among adults and adolescents, but few data are available for the performance predication of the predictors for diagnosing elevated FPG or HbA1c among young children.

MATERIALS AND METHODS

Involving 5,556 students of aged 7-9 years, a school-based cross-sectional survey was carried out between March and June 2019 in Shenzhen, China. Receiver operating characteristic curve analysis was utilized.

RESULTS

The median was 4.6 (interquartile range [IQR] 4.3-4.8) mmol/L for FPG and 5.3% (IQR 5.1-5.5%) for HbA1c levels for all participants. For detecting elevated FPG, weight (0.651, IQR 0.583-0.719) and waist circumference (0.650, IQR 0.584-0.717) showed the highest area under the curve and 95% confidence interval, followed by body mass index and the z-score of body mass index (both 0.635, IQR 0.567-0.703); other anthropometric measures showed poorer diagnostic efficiencies or no ability. For detecting elevated HbA1c, lower efficiencies for the Conicity Index (0.651, IQR 0.583-0.719), waist-to-height ratio, waist-to-hip ratio and waist-to-chest ratio were shown. The correlations of FPG and HbA1c levels with anthropometric indices were weak (Spearman's r ≤ 0.179).

CONCLUSIONS

None of the evaluated anthropometric indicators approached an adequate predictive accuracy for the detection of elevated FPG or HbA1c levels in Shenzhen children aged 7-9 years. The current study did not recommend anthropometry screening for prediabetes in young children.

Epidemiology and risk factors for diabetes in the suburbs of Beijing: a retrospective cohort study

OBJECTIVE

We aimed to detect the incidence and risk factors of type 2 diabetes mellitus (T2DM) development in the suburbs of Beijing.

DESIGN

Cohort study with record linkage to incidence data.

SETTING

We performed a 5-year follow-up study in a randomly selected suburban population including 1114 subjects aged ≥18 years living in the suburbs of Beijing.

PARTICIPANTS

118 subjects with T2DM at baseline according to the 1999 WHO criteria were excluded, and 895 subjects attended the follow-up assessment in 2012. The non-diabetic subjects at baseline were classified into two groups: normal glucose tolerance (NGT) group (n=673) and impaired glucose regulation (IGR) group(n=222).The incidence and risk factors of diabetes development in each group were investigated.

OUTCOME MEASURES

A structured questionnaire about sociodemographic characteristics, height, weight, waist circumference, hip circumference, blood pressure, oral glucose tolerance test and serum lipid levels.

RESULTS

Out of the 895 non-diabetic subjects, 67 developed diabetes with 29 in the NGT group and 38 in the IGR group, respectively, after a 5-year follow-up, producing an overall 5-year cumulative incidence of diabetes of 13%. The incidence of diabetes was 15.5 cases per 1000 person-years, 8.9 cases per 1000 person-years in the NGT group and 35.7 cases per 1000 person-years in the IGR group (p<0.01; RR 4.03; 95% CI 2.58 to 9.29). Binary logistic regression analysis showed that the risk factors for diabetes development included fasting plasma glucose (FPG) in the NGT group, and sex, the waist-to-hip ratio, FPG and diastolic blood pressure (DBP) in the IGR group.

CONCLUSIONS

During a mean follow-up of 5.0 years, the incidence of T2DM in the suburbs of Beijing was 15.5 per 1000 person-years. Early prevention of diabetes should focus on IGR subjects. Elevated FPG predicted diabetes development for both NGT and IGR subjects. Female sex, overweight/obesity and DBP are risk factors for diabetes development in IGR subjects.

Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort

Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg's formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r ≤ 0.182 and p ≤ 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC ≤ 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m², with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m²). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes.

Different Curve Shapes of Fasting Glucose and Various Obesity-Related Indices by Diabetes and Sex

Fasting plasma glucose (FPG) and obesity-related indices are prognostic factors for adverse outcomes in both subjects with and without diabetes. A few studies have investigated sex differences in obesity indices related to the risk of diabetes, however no studies have compared the relationship between FPG and obesity-related indices by diabetes and sex. Therefore, in this study, we compared the curve shapes of FPG and various obesity-related indices by diabetes, and further explored sex differences in these associations. Data were derived from the Taiwan Biobank database, which included 5000 registered individuals. We used an adjusted generalized linear regression model and calculated the difference of least square means (Lsmean; standard error, SE) for males and females with and without diabetes. Associations between obesity-related indices and fasting glucose level by diabetes and sex groups were estimated, and the ORTHOREG procedure was used to construct B-splines. The post-fitting for linear models procedure was used to determine the range at which the trends separated significantly. The diabetes/sex/FPG interaction term was significant for all obesity-related indices, including body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, lipid accumulation product, body roundness index, conicity index, body adiposity index and abdominal volume index. B-spline comparisons between males and females did not reach significance. However, FPG affected the trend towards obesity-related indices. As the fasting glucose level increased, the values of obesity-related indices varied more obviously in the participants without diabetes than in those with diabetes mellitus. The current study revealed that there was a different relationship between FPG and obesity-related indices by diabetes and sex. FPG affected the trend towards obesity-related indices more obviously in participants without diabetes than in those with diabetes. Further studies with a longitudinal design would provide a better understanding of the underlying mechanisms for the relationships.

Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China

BACKGROUNDS

The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes.

METHODS

A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: <25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test.

RESULTS

For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively.

CONCLUSIONS

The WC and WHtR were more closely related to diabetes than BMI and WHR among study participants ≥ 40 years of age, especially in females.

Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study

OBJECTIVE

This study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.

DESIGN

Data for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X2 test and multivariate logistic regression analyses were performed to test for association between risk factors and diabetes and IFG.

RESULTS

Women constituted 60.30% of the study participants, mean age of participants was 55.32±12.18 years, risk factors for diabetes and IFG were prevalent (75% dyslipidaemia, 57% overweight/obese, 50% central obesity and 18% metabolic syndrome). The prevalence of diabetes and IFG was 4.19% and 7.22%, respectively. Having a metabolic syndrome (adjusted OR (aOR) 4.7, 95% CI 4.27 to 5.33), dyslipidaemia (aOR 2.76, 95% CI 2.31 to 3.21), centrally obese (aOR 2.38, 95% CI 2.11 to 2.70), being overweight/obese (aOR 1.66, 95% CI 1.45 to 1.79) and a family history of diabetes (aOR 1.50, 95% CI 1.15 to 1.92) were associated with diabetes. These factors were also associated with IFG. Intake of high salt diet (aOR 1.16, 95% CI 1.02 to 1.32) and smoking (aOR 1.22, 95% CI 1.02 to 1.47; significant in men) were also associated with diabetes. Engaging in moderate physical activity (aOR 0.94, 95% CI 0.89 to 0.98) was noted to be negatively associated with diabetes.

CONCLUSION

Diabetes and IFG remain prevalent in Chinese population with obesity and dyslipidaemia being some of the most significant predictors. Regular physical activity and consumption of fruits and vegetables may be beneficial in keeping blood glucose level low.

TRIAL REGISTRATION NUMBER

ChiCTR-OOC-15006699.

Estimate of prevalent diabetes from cardiometabolic index in general Chinese population: a community-based study

Background

Cardiometabolic index (CMI) defines adiposity based on triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) ratio and waist-to-height ratio (WHtR). This newly proposed metric has been used to detect multiple cardiovascular risk factors, but data relative to diabetes in the general population are lacking. This study aims to validate CMI’s utility of discriminating diabetes and compares it with other indexes among general Chinese population.

Methods

Analyses were based on a cross-sectional study of 11,478 participants that underwent assessment of metabolic and anthropometric parameters in rural areas of northeastern China in 2013. CMI was calculated by TG/HDL-C × WHtR. Multivariate logistic regressions were performed to clarify CMI’s association with diabetes, ROC analyses were engaged to investigate CMI’s discriminating ability for diabetes.

Results

The prevalence of diabetes was 9.93% in males while 10.76% in females, and increased with CMI’s increment. After full adjustment, each SD increment of CMI had odds ratios (ORs) for diabetes of 1.471 (1.367–1.584) and 1.422 (1.315–1.539) in females and males, respectively. Compared with bottom categories of CMI, the top quartiles had ORs of 3.736 (2.783–5.015) in females and 3.697 (2.757–4.958) in males. The ROC results showed an excellent discriminating power of CMI (AUC: 0.702 for females, 0.664 for males).

Conclusions

An increasing CMI was correlated with higher odds of diabetes, supporting CMI as a useful and economic measure to screen and quantify diabetes in general Chinese population. Monitoring and promoting achievement of dyslipidemia and abdominal obesity based on CMI may improve subclinical and cardiovascular outcomes.

Waist-to-hip ratio is the most relevant obesity index at each phase of insulin secretion among obese patients

We aimed to explore the relationship between different obesity indices and insulin secretion at each phase among obese subjects and to find out the most relevant obesity index. Height, weight, waist circumstance, and hip circumstance were obtained among 419 obese subjects to calculate body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio, body adiposity index (BAI), conicity index, abdominal volume index and a body shape index (ABSI). Fasting plasma glucose and fasting insulin were detected to calculate HOMA-β. Early and late insulin secretion indices: ΔI₃₀/ΔG₃₀ and DI_60-120 were calculated according to the result of a 75-g oral glucose tolerance test among the 235 subjects not meeting the standard of diabetes. Pearson correlation analysis and multiple linear regression analysis were used. BMI (β = 0.022, p = 0.000) and WHR (β = -1.557, p = 0.000) were independent correlation factors with HOMA-β. In 235 OGTT subjects, WHR was independently and negatively associated with ΔI₃₀/ΔG₃₀ and DI_60-120 (β = -1.187, p = 0.026; β = -1.241, p = 0.001, respectively). ABSI was independently and negatively associated with ΔI₃₀/ΔG₃₀ (β = -17.249, p = 0.012). WHR was the best and consistently correlated factor with insulin secretion at each phase among obese subjects from Hunan Province in China.

Association between anthropometric measures and cardiovascular disease (CVD) risk factors in Hainan centenarians: investigation based on the Centenarian's health study

Background

Centenarians refer to a special group who have outlived most of their fellows. Body shape and abdominal obesity have been identified as cardiovascular disease (CVD) risk factors. Our study aimed to evaluate the relationship between body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) and CVD risk factors among male and female centenarians in Hainan province.

Methods

Five hundred thirty-seven centenarians aged between 100 and 115 (Mage = 107 years old) years participated in this study. Each participant received a standardized questionnaire and physical examination. We measured anthropometric variables (BMI, WC, WHR, WHtR, SBP and DBP) and serum lipid (TC, TG, HDL-C and LDL-C).

Results

76.9% (n = 413) of the study subjects were female. TC, TG, LDL-C and HDL-C were significantly higher in female group than that of male group. BMI, WC and WHtR were well-correlated with the CVD risk factors. The anthropometric measures were negatively related with HDL-C levels and positively related with the other CVD risk factors.

Conclusions

Hainan centenarians were short in stature and underweight. Moreover, female centenarians were often pear-shaped, while male centenarians were often apple-shaped. Further, BMI, WC and WHtR were well-correlated with the serum lipid, and TC, TG, LDL-C and HDL-C were significantly higher in females than males. Also, BMI, WC and WHtR were closely related to the incidence of dyslipidemia in females, including high TG, high LDL-C and low HDL-C.

Diabetes and Impaired Fasting Glucose Prediction Using Anthropometric Indices in Adults from Maracaibo City, Venezuela

To determine the predictive power of various anthropometric indices for the identification of dysglycemic states in Maracaibo, Venezuela. A cross-sectional study with randomized, multi-staged sampling was realized in 2230 adult subjects of both genders who had their body mass index (BMI), waist circumference (WC) and waist-height ratio (WHR) determined. Diagnoses of type 2 diabetes mellitus (DM2) and impaired fasting glucose (IFG) were made following ADA 2015 criteria. ROC curves were used to evaluate the predictive power of each anthropometric parameter. Area under the curve (AUC) values were compared through Delong's test. Of the total 2230 individuals (52.6 % females), 8.4 % were found to have DM2, and 19.5 % had IFG. Anthropometric parameters displayed greater predictive power regarding newly diagnosed diabetics, where WHR was the most important predictor in both females (AUC = 0.808; CI 95 % 0.715-0.900. Sensitivity: 82.8 %; specificity: 76.2 %) and males (AUC = 0.809; CI 95 % 0.736-0.882. Sensitivity: 78.6 %; specificity: 68.1 %), although all three parameters appeared to have comparable predictive power in this subset. In previously diagnosed diabetic subjects, WHR was superior to both WC and BMI in females, and WHR and WC were both superior to BMI in males. Lower predictive values were found for IFG in both genders. Accumulation of various altered anthropometric measurements was associated with increased odds ratios for both newly and previously diagnosed DM2. The predictive power of anthropometric measurements was greater for DM2 than IFG. We suggest assessment of as many available parameters as possible in the clinical setting.

Pathophysiological Fundamentals of Diabetic Cardiomyopathy

Diabetic cardiomyopathy (DCM) was first recognized more than four decades ago and occurred independent of cardiovascular diseases or hypertension in both type 1 and type 2 diabetic patients. The exact mechanisms underlying this disease remain incompletely understood. Several pathophysiological bases responsible for DCM have been proposed, including the presence of hyperglycemia, nonenzymatic glycosylation of large molecules (e.g., proteins), energy metabolic disturbance, mitochondrial damage and dysfunction, impaired calcium handling, reactive oxygen species formation, inflammation, cardiac cell death, and cardiac hypertrophy and fibrosis, leading to impairment of cardiac contractile functions. Increasing evidence also indicates the phenomenon called "metabolic memory" for diabetes-induced cardiovascular complications, for which epigenetic modulation seemed to play an important role, suggesting that the aforementioned pathogenic bases may be regulated by epigenetic modification. Therefore, this review aims at briefly summarizing the current understanding of the pathophysiological bases for DCM. Although how epigenetic mechanisms play a role remains incompletely understood now, extensive clinical and experimental studies have implicated its importance in regulating the cardiac responses to diabetes, which are believed to shed insight into understanding of the pathophysiological and epigenetic mechanisms for the development of DCM and its possible prevention and/or therapy. © 2017 American Physiological Society. Compr Physiol 7:693-711, 2017.

Does obesity cause chronic inflammation? The association between complete blood parameters with body mass index and fasting glucose

OBJECTIVE

This study aimed to determine the relationship of complete blood count (CBC) parameters and derivates with fasting blood sugar and the body mass index.

METHODS

This was a prospective, observational clinical study. Hospitalized patients who received a physiotherapy program in the Physical Medicine and Rehabilitation Clinic between March and June 2016 were included. The age, height, weight, body mass index (BMI), fasting blood glucose, erythrocyte sedimentation (ESR), C-reactive protein, and CBC parameters (leukocytes, platelets, neutrophil, lymphocytes, and monocytes) and red cell distribution width, platelet distribution width, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio of the patients were recorded. The relationship between the BMI, fasting glucose, and CBC parameters and derivates were investigated. Patients were divided into groups based on BMI: BMI≤25 kg/m², normal; BMI=26-30 kg/m², overweight; and BMI>30 kg/m², obese. A P value>0.005 was considered statistically significant.

RESULTS

A significant difference in the lymphocyte count, ESR, and NLR values was observed among the three groups (P=0.011; P=0.021; P=0.04). A significant difference in NLR was found between groups 1 and 3 (P=0.04). Between groups 1 and 3, a significant difference in platelet count was noted (P=0.013). On dividing the patients into two groups: normal and overweight/obese, a significant difference in lymphocyte count, glucose, and ESR values was observed (P=0.038; P=0.05; P=0.013). The lymphocyte count, ESR, and glucose values were found to be higher in the overweight group. According to Spearman's correlation analysis, the BMI and NLR values were found to be negatively correlated (P=0.029; r=.145); however, the lymphocyte count and ESR values were positively correlated (P=0.009; r=.173); (P=0.013; r=.182).

CONCLUSION

This study found a negative correlation between the NLR and BMI values and a lower NLR value in the obese group compared with the normal group. The overweight group showed a higher lymphocyte count, thereby confirming the positive correlation of lymphocyte count with BMI. A comprehensive clarification of the mechanisms underlying the relationship between obesity and inflammation may allow developing treatment strategies to reduce the negative effects of obesity.

Optimal anthropometric measures and thresholds to identify undiagnosed type 2 diabetes in three major Asian ethnic groups

OBJECTIVE

To identify optimal anthropometric measures and cutoffs to identify undiagnosed diabetes mellitus (UDM) in three major Asian ethnic groups (Chinese, Malays, and Asian-Indians).

METHODS

Cross-sectional data were analyzed from 14,815 ethnic Chinese, Malay, and Asian-Indian participants of the Singapore National Health Surveys, which included anthropometric measures and an oral glucose tolerance test. Receiver operating characteristic curve analyses were used with calculation of the area under the curve (AUC) to evaluate the performance of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR) for the identification of UDM.

RESULTS

BMI performed significantly worse (AUCMEN  = 0.70; AUCWOMEN  = 0.75) than abdominal measures, whereas WHTR (AUCMEN  = 0.76; AUCWOMEN  = 0.79) was among the best performing measures in both sexes and all ethnic groups. Anthropometric measures performed better in Chinese than in Asian-Indian participants for the identification of UDM. A WHTR cutoff of 0.52 appeared optimal with a sensitivity of 76% in men and 73% in women and a specificity of 63% in men and 70% in women.

CONCLUSIONS

Although ethnic differences were observed in the performance of anthropometric measures for the identification of UDM, abdominal adiposity measures generally performed better than BMI, and WHTR performed best in all Asian ethnic groups.

Associations between Physical Activity and Obesity Defined by Waist-To-Height Ratio and Body Mass Index in the Korean Population

Objective

This study investigated the associations between physical activity and the prevalence of obesity determined by waist-to-height ratio (WHtR) and body mass index (BMI).

Methods

This is the first study to our knowledge on physical activity and obesity using a nationally representative sample of South Korean population from The Korea National Health and Nutrition Examination Survey. We categorized individuals into either non-obese or obese defined by WHtR and BMI. Levels of moderate-to-vigorous physical activity were classified as ‘Inactive’, ‘Active’, and ‘Very active’ groups based on the World Health Organization physical activity guidelines. Multivariable logistic regression was used to examine the associations between physical activity and the prevalence of obesity.

Results

Physical activity was significantly associated with a lower prevalence of obesity using both WHtR and BMI. Compared to inactive men, odds ratios (ORs) (95% confidence intervals [CIs]) for obesity by WHtR ≥0.50 were 0.69 (0.53–0.89) in active men and 0.76 (0.63–0.91) in very active men (p for trend = 0.007). The ORs (95% CIs) for obesity by BMI ≥25 kg/m² were 0.78 (0.59–1.03) in active men and 0.82 (0.67–0.99) in very active men (p for trend = 0.060). The ORs (95% CIs) for obesity by BMI ≥30 kg/m² were 0.40 (0.15–0.98) in active men and 0.90 (0.52–1.56) in very active men (p for trend = 0.978). Compared to inactive women, the ORs (95% CIs) for obesity by WHtR ≥0.50 were 0.94 (0.75–1.18) in active women and 0.84 (0.71–0.998) in very active women (p for trend = 0.046). However, no significant associations were found between physical activity and obesity by BMI in women.

Conclusions

We found more significant associations between physical activity and obesity defined by WHtR than BMI. However, intervention studies are warranted to investigate and compare causal associations between physical activity and different obesity measures in various populations.

Interleukin-6, vitamin D & diabetes risk-factors modified by a short-term yoga-based lifestyle intervention in overweight/obese individuals

BACKGROUND & OBJECTIVES

Several diabetes prevention programmes have demonstrated a reduction in incidence of diabetes in individuals with prediabetes through weight loss. Short-term yoga-based lifestyle intervention programmes have also been shown to be efficacious in weight loss. This study was undertaken to investigate if interleukin (IL)-6, vitamin D, neopterin, vaspin, and diabetes risk factors can be modified by a short-term yoga-based lifestyle intervention in overweight/obese subjects.

METHODS

In this pilot study, 34 overweight/obese [body mass index (BMI) ≥ 23 to <35 kg/m [2] per Asian cut-off values] individuals were enrolled, and received directly supervised intervention for 10 days. Thereafter, they were advised to follow this yoga-based lifestyle at home for one month, and were reassessed for study variables at day 30.

RESULTS

There was a reduction from baseline to day 10 in weight ( p <0.001), BMI ( P <0.001), waist/hip-ratio ( P <0.05), blood glucose ( P <0.01), and a significant improvement in lipid profile. There was a decrease in median fasting insulin ( P <0.05), homeostatic model assessment-insulin resistance ( P <0.01), and IL-6 ( Pp <0.05). A non-significant increase in 25-OH-vitamin D, and a decrease in neopterin and vaspin were observed. Twenty subjects returned for follow up assessments. At day 30, weight loss was sustained while systolic blood pressure also showed reduction ( P <0.05). Changes in vitamin D levels were significantly and negatively correlated with changes in weight, BMI and fasting blood glucose, and positively with change in high density lipoprotein. Changes in body weight and BMI significantly and positively correlated with insulin. Changes in IL-6 levels positively and significantly correlated with change in neopterin levels.

INTERPRETATION & CONCLUSIONS

The findings showed that IL-6, vitamin D, and diabetes risk factors were favourably modified by a short-term yoga-based lifestyle intervention in obesity. This study also highlighted the challenges in compliance associated with the follow up of subjects following an aggressive supervised intervention of 10 days.

The Prevalence of Diabetes and Prediabetes in the Adult Population of Jeddah, Saudi Arabia--A Community-Based Survey

BACKGROUND

Type 2 (T2DM) is believed to be common in Saudi Arabia, but data are limited. In this population survey, we determined the prevalence of T2DM and prediabetes.

MATERIALS AND METHODS

A representative sample among residents aged ≥ 18 years of the city of Jeddah was obtained comprising both Saudi and non-Saudi families (N = 1420). Data on dietary, clinical and socio-demographic characteristics were collected and anthropometric measurements taken. Fasting plasma glucose and glycated hemoglobin (HbA1c) were used to diagnose diabetes and prediabetes employing American Diabetes Association criteria. Multiple logistic regression analysis was used to identify factors associated with T2DM.

RESULTS

Age and sex standardized prevalence of prediabetes was 9.0% (95% CI 7.5-10.5); 9.4% (7.1-11.8) in men and 8.6% (6.6-10.6) in women. For DM it was 12.1% (10.7-13.5); 12.9% (10.7-13.5) in men and 11.4% (9.5-13.3) in women. The prevalence based on World Population as standard was 18.3% for DM and 11.9% for prediabetes. The prevalence of DM and prediabetes increased with age. Of people aged ≥50 years 46% of men and 44% of women had DM. Prediabetes and DM were associated with various measures of adiposity. DM was also associated with and family history of dyslipidemia in women, cardiovascular disease in men, and with hypertension, dyslipidemia and family history of diabetes in both sexes.

DISCUSSION

Age was the strongest predictor of DM and prediabetes followed by obesity. Of people aged 50 years or over almost half had DM and another 10-15% had prediabetes leaving only a small proportion of people in this age group with normoglycemia. Since we did not use an oral glucose tolerance test the true prevalence of DM and prediabetes is thus likely to be even higher than reported here. These results demonstrate the urgent need to develop primary prevention strategies for type 2 diabetes in Saudi Arabia.

Sub-patterns of food consumption and hyperglycemia in Mexican young people: a study by factor analysis

BACKGROUND

The student population that is admitted to the University Juarez of Tabasco has poor healthy eating habits. Fasting glucose ≥5.6 mmol/L was found in 10% of the students.

OBJECTIVE

We wanted to identify the sub-pattern of their eating habits that could explain the hyperglycemia.

DESIGN

A questionnaire on the feeding habits was applied to 3,559 first-year students, who were subjected to a blood analysis to determine biochemical markers in 2011. Based on the obtained questionnaire data, the factorial analysis was used for the statistical analysis. The Kaiser-Meyer-Olkin measure for sampling adequacy was used for validation. To determine eating habits, Varimax normalization with Kaiser was used.

RESULTS

The number of students with euglycemia was 3,138, including 366 with values for prediabetes, and 55 with values for diabetes. After normalization using Varimax rotation with Kaiser, component 1 of participants with euglycemia included eight foods. The number of foods in component 1 of those participants with prediabetes was seven, and it diminished to four in those with fasting glucose >7 mmol/L.

CONCLUSIONS

It was found that glucose levels increase in direct relation to the diminution in the number of selected foods.

Modifiable risk factors associated with prediabetes in men and women: a cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes (PREDAPS-Study)

Background

Prediabetes is a high-risk state for diabetes development, but little is known about the factors associated with this state. The aim of the study was to identify modifiable risk factors associated with the presence of prediabetes in men and women.

Methods

Cohort Study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS-Study) is a prospective study on a cohort of 1184 subjects with prediabetes and another cohort of 838 subjects without glucose metabolism disorders. It is being conducted by 125 general practitioners in Spain. Data for this analysis were collected during the baseline stage in 2012. The modifiable risk factors included were: smoking habit, alcohol consumption, low physical activity, inadequate diet, hypertension, dyslipidemia, and obesity. To assess independent association between each factor and prediabetes, odds ratios (ORs) were estimated using logistic regression models.

Results

Abdominal obesity, low plasma levels of high-density lipoprotein cholesterol (HDL-cholesterol), and hypertension were independently associated with the presence of prediabetes in both men and women. After adjusting for all factors, the respective ORs (95% Confidence Intervals) were 1.98 (1.41-2.79), 1.88 (1.23-2.88) and 1.86 (1.39-2.51) for men, and 1.89 (1.36-2.62), 1.58 (1.12-2.23) and 1.44 (1.07-1.92) for women. Also, general obesity was a risk factor in both sexes but did not reach statistical significance among men, after adjusting for all factors. Risky alcohol consumption was a risk factor for prediabetes in men, OR 1.49 (1.00-2.24).

Conclusions

Obesity, low HDL-cholesterol levels, and hypertension were modifiable risk factors independently related to the presence of prediabetes in both sexes. The magnitudes of the associations were stronger for men than women. Abdominal obesity in both men and women displayed the strongest association with prediabetes. The findings suggest that there are some differences between men and women, which should be taken into account when implementing specific recommendations to prevent or delay the onset of diabetes in adult population.