scholarly journals Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Yulin Zhou ◽  
Yanan Hou ◽  
Jiali Xiang ◽  
Huajie Dai ◽  
Mian Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Cardiometabolic Risk ◽  
Fat Distribution ◽  
Cross Sectional ◽  
Cardiometabolic Disorders ◽  
Body Shapes ◽  
Body Circumferences ◽  
Sectional Analysis ◽  
Analysis Platform ◽  
Distinct Body

Abstract Background We aimed to define refined body shapes by using multiple anthropometric traits that represent fat distribution, and evaluate their associations with risk of insulin resistance (IR) and cardiometabolic disorders in a Chinese population. Methods We performed a cross-sectional analysis in 6570 community-based participants aged ≥ 40 years. Four body circumferences (neck, waist, hip, and thigh) and their ratios were put simultaneously into an open-source Waikato Environment for Knowledge Analysis platform to select the worthiest indicators in determining IR. The ratio of the top 3 fat distribution indicators was used to define the refined body shapes. Results We defined 8 distinct body shapes based on sex-specific combinations of waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and waist-to-neck ratio (WNR), which differed in participants’ distribution and risk of IR and related cardiometabolic disorders. In women, as compared to the low WHR-low WTR-low WNR shape, all body shapes were significantly associated with IR and related cardiometabolic disorders; while in men, the low WHR-high WTR-high WNR shape and the higher WHR related shapes were significantly associated with IR and related cardiometabolic disorders. Stratified by WHR, the results were consistent in women; however, no significant associations were detected in men. Conclusions We defined 8 distinct body shapes by taking WHR, WTR, and WNR, simultaneously into account, which differed in association with the risk of IR and related cardiometabolic disorders in women. This study suggests that body shapes defined by multiple anthropometric traits could provide a useful, convenient, and easily available method for identifying cardiometabolic risk.

Associations of Body Shapes with Insulin Resistance and Cardiometabolic Risk in Middle-aged and Elderly Chinese

2021 ◽  
Author(s):  
Yulin Zhou ◽  
Yanan Hou ◽  
Jiali Xiang ◽  
Huajia Dai ◽  
Mian Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Cardiometabolic Risk ◽  
Fat Distribution ◽  
Cross Sectional ◽  
Cardiometabolic Disorders ◽  
Body Shapes ◽  
Body Circumferences ◽  
Sectional Analysis ◽  
Analysis Platform ◽  
Distinct Body

Abstract Background: We aimed to define refined body shapes by using multiple anthropometric traits that represent fat distribution, and evaluate their associations with risk of insulin resistance (IR) and cardiometabolic disorders in a Chinese population. Methods: We performed a cross-sectional analysis in 6570 community-based participants aged ≥ 40 years. Four body circumferences (neck, waist, hip and thigh) and their ratios were put simultaneously into an open-source Waikato Environment for Knowledge Analysis platform to select the worthiest indicators in determining IR. The ratio of the top 3 fat distribution indicators were used to define the refined body shapes. Results: We defined 8 distinct body shapes based on sex-specific combinations of waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR) and waist-to-neck ratio (WNR), which differed in participants’ distribution and risk of IR and related cardiometabolic disorders. In women, as compared to the low WHR-low WTR-low WNR shape, all body shapes were significantly associated with IR and related cardiometabolic disorders; while in men, the low WHR-high WTR-high WNR shape and the higher WHR related shapes were significantly associated with IR and related cardiometabolic disorders. Stratified by WHR, the results were consistent in women; however, no significant associations were detected in men. Conclusions: We defined 8 distinct body shapes by taking WHR, WTR, and WNR, simultaneously into account, which differed in association with risk of IR and related cardioembolic disorders in women. This study suggest that body shapes defined by multiple anthropometrics traits could provide a useful, convenient and easily available method for identification cardiometabolic risk.

scholarly journals Concordance between fasting plasma glucose and HbA1c in the diagnosis of diabetes in black South African adults: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046060
Author(s):  
Alisha N Wade ◽  
Nigel J Crowther ◽  
Shafika Abrahams-Gessel ◽  
Lisa Berkman ◽  
Jaya A George ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
South African ◽  
Plasma Glucose ◽  
Fat Distribution ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
South African Population ◽  
Cross Sectional ◽  
Black South African

ObjectivesWe investigated concordance between haemoglobin A1c (HbA1c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity.DesignCross-sectional study.SettingRural South African population-based cohort.Participants765 black individuals aged 40–70 years and with no history of diabetes.Primary and secondary outcome measuresThe primary outcome measure was concordance between HbA1c-defined diabetes and FPG-defined diabetes. Secondary outcome measures were differences in anthropometric characteristics, fat distribution and insulin resistance (measured using Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR)) between those with concordant and discordant HbA1c/FPG classifications and predictors of HbA1c variance.ResultsThe prevalence of HbA1c-defined diabetes was four times the prevalence of FPG-defined diabetes (17.5% vs 4.2%). Classification was discordant in 15.7% of participants, with 111 individuals (14.5%) having HbA1c-only diabetes (kappa 0.23; 95% CI 0.14 to 0.31). Median body mass index, waist and hip circumference, waist-to-hip ratio, subcutaneous adipose tissue and HOMA-IR in participants with HbA1c-only diabetes were similar to those in participants who were normoglycaemic by both biomarkers and significantly lower than in participants with diabetes by both biomarkers (p<0.05). HOMA-IR and fat distribution explained additional HbA1c variance beyond glucose and age only in women.ConclusionsConcordance was poor between HbA1c and FPG in diagnosis of diabetes in black South Africans, and participants with HbA1c-only diabetes phenotypically resembled normoglycaemic participants. Further work is necessary to determine which of these parameters better predicts diabetes-related morbidities in this population and whether a population-specific HbA1c threshold is necessary.

scholarly journals The association of circulating irisin with metabolic risk factors in Chinese adults: a cross-sectional community-based study

2019 ◽  
Author(s):  
Lizhi Tang ◽  
Yuzhen Tong ◽  
Fang Zhang ◽  
Guilin Chen ◽  
Yun Cong Zhang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Linear Regression ◽  
Pearson Correlation ◽  
Metabolic Parameters ◽  
Enzyme Linked Immunosorbent Assay ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Sectional Analysis ◽  
Overweight Subjects

Abstract Background Irisin is a myokine that leads to increased energy expenditure by stimulating the browning of white adipose tissue. We aimed to investigate the association of serum irisin levels with metabolic parameters in middle aged Chinese population. Methods The study was based on a cross-sectional analysis of data from 524 nondiabetic subjects aged 40~65. All participants were recruited from a screening survey for Metabolic Syndrome in a community in Southwest China, including 294 subjects categorized as overweight (defined as BMI≧25 kg/m2 ) and 230 subjects as normal control (defined as 18.5≦BMI<25 kg/m2). Serum irisin concentration was quantified by enzyme linked immunosorbent assay (ELISA). The relationship of irisin with metabolic factors was determined by Pearson correlation. Multivariate linear regression was used to analyze the association of irisin with insulin resistance. Logistic regression was performed to assess the association of irisin with odds of overweight. Results Serum irisin levels were significantly lower in nondiabetic overweight subjects compared with control (11.46 ± 4.11vs14.78 ± 7.03µg/mL, p = 0.02). Circulating irisin was positively correlated with quantitative insulin sensitivity check index (QUICKI, r = 0.178, p = 0.045) and triglycerides (r = 0.149, p = 0.022); while irisin was negatively correlated with waist circumference (WC, r = -0.185, p = 0.037), waist-to-hip ratio (WHR, r = -0.176, p = 0.047), fasting insulin (r = -0.2, p = 0.024), serum creatinine (r = -0.243, p = 0.006), homeostasis model assessment for insulin resistance (HOMA-IR, r = -0.189, p = 0.033). Multiple linear regression showed that irisin was inversely associated with HOMA-IR (β = -0.342 ± 0.154, p = 0.029). Higher irisin was associated with decreased odds of being overweight (OR = 0.281, β = -1.271, p = 0.024). Conclusions We found that serum irisin levels were lower in overweight subjects. Moreover, serum irisin levels were inversely correlated with adverse metabolic parameters including WC, WHR, creatinine, HOMA-IR and fasting insulin, suggesting that irisin may play a role in obesity related insulin resistance.

scholarly journals Abdominal visceral and subcutaneous adipose tissue and associations with cardiometabolic risk in Inuit, Africans and Europeans: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e038071 ◽  
Author(s):  
Pernille Falberg Rønn ◽  
Gregers Stig Andersen ◽  
Torsten Lauritzen ◽  
Dirk Lund Christensen ◽  
Mette Aadahl ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Abdominal Fat ◽  
Cardiometabolic Risk Factors ◽  
Hepatic Insulin Resistance ◽  
Cross Sectional ◽  
Subcutaneous Adipose

ObjectivesAbdominal fat has been identified as a risk marker of cardiometabolic disease independent of overall adiposity. However, it is not clear whether there are ethnic disparities in this risk. We investigated the associations of visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT) with cardiometabolic risk factors in three ethnic diverse populations of Inuit, Africans and Europeans.DesignCross-sectional pooled study.SettingGreenland, Kenya and Denmark.MethodsA total of 5113 participants (2933 Inuit, 1397 Africans and 783 Europeans) from three studies in Greenland, Kenya and Denmark were included. Measurements included abdominal fat distribution assessed by ultrasound, oral glucose tolerance test, hepatic insulin resistance, blood pressure and lipids. The associations were analysed using multiple linear regressions.ResultsAcross ethnic group and gender, an increase in VAT of 1 SD was associated with higher levels of hepatic insulin resistance (ranging from 14% to 28%), triglycerides (8% to 16%) and lower high-density lipoprotein cholesterol (HDL-C, −1.0 to −0.05 mmol/L) independent of body mass index. VAT showed positive associations with most of the other cardiometabolic risk factors in Inuit and Europeans, but not in Africans. In contrast, SAT was mainly associated with the outcomes in Inuit and Africans. Of notice was that higher SAT was associated with higher HDL-C in African men (0.11 mmol/L, 95% CI: 0.03 to 0.18) and with lower HDL-C in Inuit (−0.07 mmol/L, 95% CI: -0.12 to –0.02), but not in European men (−0.02 mmol/L, 95% CI: −0.09 to 0.05). Generally weaker associations were observed for women. Furthermore, the absolute levels of several of the cardiometabolic outcomes differed between the ethnic groups.ConclusionsVAT and SAT were associated with several of the cardiometabolic risk factors beyond overall adiposity. Some of these associations were specific to ethnicity, suggesting that ethnicity plays a role in the pathway from abdominal fat to selected cardiometabolic risk factors.

scholarly journals Insulin-related dietary indices predict 24-h urinary C-peptide in adult men

2020 ◽  
pp. 1-8
Author(s):  
Dong Hoon Lee ◽  
Edward L. Giovannucci ◽  
Fred K. Tabung
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Positive Association ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
C Peptide ◽  
Adult Men ◽  
Dietary Index ◽  
Sectional Analysis ◽  
Dietary Indices

Abstract The dietary insulin index directly estimates the postprandial insulin secretion potential of foods, whereas the empirical dietary index for hyperinsulinaemia (EDIH) assesses the insulinaemic potential of usual diets based on fasting plasma C-peptide, and is primarily reflective of insulin resistance. It is unknown whether these insulin-related indices are predictive of an integrated measure of insulin secretion. We conducted a cross-sectional analysis that included 293 non-diabetic men with 24-h urinary C-peptide data from the Men’s Lifestyle Validation Study. EDIH, dietary insulin index and dietary insulin load were calculated using validated FFQ. We conducted multivariable-adjusted linear regression to estimate relative and absolute concentrations of 24-h urinary C-peptide. In multivariable-adjusted models, we found a significant positive association between all three insulin-related dietary indices and 24-h urinary C-peptide (P < 0·05). Relative concentrations of 24-h urinary C-peptide per 1-sd increase in insulin-related dietary indices were 1·12 (95 % CI 1·02, 1·23) for EDIH, 1·18 (95 % CI 1·07, 1·29) for dietary insulin index and 1·16 (95 % CI 1·06, 1·27) for dietary insulin load. When we further adjusted for BMI, the association was attenuated for EDIH, to 1·07 (95 % CI 0·98, 1·16), and remained unchanged for dietary insulin index and dietary insulin load. In conclusion, EDIH, dietary insulin index and dietary insulin load were predictive of integrated insulin secretion assessed by 24-h urinary C-peptide. Findings after adjustment for BMI appear to confirm the relation of EDIH to insulin resistance and dietary insulin index/load to insulin secretion; the respective constructs of the two dietary indices.

scholarly journals Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC)

2002 ◽  
Vol 5 (6b) ◽  
pp. 1147-1162 ◽  
Author(s):  
M Haftenberger ◽  
PH Lahmann ◽  
S Panico ◽  
CA Gonzalez ◽  
JC Seidell ◽  
...  
Keyword(s):  
Fat Distribution ◽  
Population Based ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Strong Base ◽  
Self Reports ◽  
Prevalence Of Obesity ◽  
Trained Observers ◽  
Sectional Analysis ◽  
Prospective Investigation

AbstractObjective:To describe anthropometric characteristics of participants of the European Prospective Investigation into Cancer and Nutrition (EPIC).Design:A cross-sectional analysis of baseline data of a European prospective cohort study.Subjects:This analysis includes study populations from 25 centres in nine European countries. The British populations comprised both a population-based and a ‘health-conscious’ group. The analysis was restricted to 83 178 men and 163 851 women aged 50–64 years, this group being represented in all centres.Methods:Anthropometric examinations were undertaken by trained observers using standardised methods and included measurements of weight, height, and waist and hip circumferences. In the ‘health-conscious’ group (UK), anthropometric measures were predicted from self-reports.Results:Except in the ‘health-conscious’ group (UK) and in the French centres, mean body mass index (BMI) exceeded 25.0 kg m-2. The prevalence of obesity (BMI≥30 kg m-2) varied from 8% to 40% in men, and from 5% to 53% in women, with high prevalences (>25%) in the centres from Spain, Greece, Ragusa and Naples (Italy) and the lowest prevalences (<10%) in the French centres and the ‘health-conscious’ group (UK). The prevalence of a large waist circumference or a high waist-to-hip ratio was high in centres from Spain, Greece, Ragusa and Naples (Italy) and among women from centres in Germany and Bilthoven (The Netherlands).Conclusions:Anthropometric measures varied considerably within the EPIC population. These data provide a strong base for further investigation of anthropometric measures in relation to the risk of chronic diseases, especially cancer.

scholarly journals Cut-Off Values of Anthropometric Indices for the Prediction of Hypertension in a Sample of Egyptian Adults

2014 ◽  
Vol 2 (1) ◽  
pp. 89-94
Author(s):  
Azza Mohamed Sarry El Din ◽  
Moushira Erfan Zaki ◽  
Wafaa A. Kandeel ◽  
Sanaa Kamal Mohamed ◽  
Khaled Helmi El Wakeel
Keyword(s):  
Insulin Resistance ◽  
Sensitivity And Specificity ◽  
Anthropometric Measurements ◽  
Social Classes ◽  
Abdominal Adiposity ◽  
Premature Atherosclerosis ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Hypertension Risk ◽  
Sectional Analysis

Background: Obesity, particularly abdominal adiposity, is closely associated with premature atherosclerosis and many metabolic modifications including insulin resistance dyslipidemia hypertension and diabetes. Cut-off values for abdominal obesity predicting future cardiovascular disease are known to be population specific.Objective: To identify cut-off points of some anthropometric measurements (BMI, WC, WHR and WHtR) that associated with hypertension in a sample of Egyptian adults.Subjects and Methods: This is a cross-sectional analysis. The blood pressure of 5550 Egyptian adults was measured (2670 females – 2880 males).The subjects represented different geographic localities and different social classes. Anthropometric measurements including height, weight, waist circumferences, and hip circumferences were also measured by practitioners.Results: The cut-off values to detect hypertension in females were 30.08 for BMI, 87.75 for WC , 0.81 for WHR and 0.65 for WHtR, and the corresponding sensitivity and specificity were 69.1; 60.7- 80.9; 48.6 -65.3; 53.4 and 61.4; 58.9, respectively. The cut-off values to detect hypertension in males were 27.98 for BMI, 95.75 for WC, 0.92 for WHR, and 0.57 for WHtR and the corresponding sensitivity and specificity were 62.8; 59.9 -71.9; 51.9 -64.6; 55.8 and 59.7; 55.8, respectively.Conclusion: The BMI, Waist circumference, WHR and WHtR values can predict the presence of hypertension risk in adult Egyptians.

scholarly journals M88. EVIDENCE FOR INFLAMMATION AS A PUTATIVE SHARED MECHANISM FOR INSULIN RESISTANCE AND SCHIZOPHRENIA

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S168-S168
Author(s):  
Benjamin Perry ◽  
Stephen Burgess ◽  
Hannah Jones ◽  
Stanley Zammit ◽  
Rachel Upthegrove ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Genetic Variants ◽  
Cardiometabolic Risk ◽  
Association Studies ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Cardiometabolic Disorders

Abstract Background Insulin Resistance (IR) predisposes to cardiometabolic disorders, which are common in schizophrenia and are associated with excess morbidity and mortality. The mechanisms of association remain unknown. We aimed 1) To use genetic data to examine the direction of association between IR and related cardiometabolic risk factors, and schizophrenia; 2) To examine whether inflammation could be a shared mechanism for IR and schizophrenia. Methods We used two-sample uni-variable Mendelian randomization (MR) to examine whether genetically-predicted IR-related cardiometabolic risk factors (Fasting insulin (FI), high-density lipoprotein (HDL), triglycerides (TG), low-density lipoprotein, fasting plasma glucose, glycated haemoglobin, leptin, body mass index, glucose tolerance and type 2 diabetes) may be causally associated with schizophrenia. We used the most recent summary statistics for genetic variants associated with schizophrenia and IR-related cardiometabolic risk factors from publicly-available large genome-wide association studies (GWAS). We used bi-directional MR to examine direction of association. To examine whether inflammation could be a shared mechanism for IR and schizophrenia, we first conducted a sensitivity analysis by performing MR using only cardiometabolic genetic variants that were also associated with inflammation, at genome-wide significance. Second, we used multi-variable MR (MVMR) to examine associations between cardiometabolic risk factors and schizophrenia after adjusting for genetically-predicted levels of C-reactive protein. Results In analyses using all associated genetic variants, genetically predicted levels of leptin were associated with risk of schizophrenia (OR=2.54 per SD increase in leptin; 95% CI, 1.02–6.31). In analyses using inflammation-related variants, genetically predicted levels of FI (OR=2.76 per SD increase in FI; 95% C.I., 1.31–6.17), TG (OR=2.90 per SD increase in TG; 95% C.I., 1.36–6.17), and HDL (OR=0.56 per SD increase in HDL; 95% C.I., 0.37–0.83) were associated with schizophrenia. The associations completely attenuated in MVMR analyses controlling for CRP. There was no evidence of an association between genetically-predicted schizophrenia liability and cardiometabolic factors. Discussion The IR phenotype of FI, TG and HDL could be associated with schizophrenia over and above common sociodemographic and lifestyle factors. This association is likely explained by a common inflammatory mechanism. Interventional studies are required to test whether inflammation could represent a putative therapeutic target for the treatment and prevention of cardiometabolic disorders in schizophrenia.

Sign in / Sign up

Export Citation Format

Share Document