scholarly journals Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

2020 ◽  
Author(s):  
Lihong Wu ◽  
WenHua Zhu ◽  
Qiaohua Qiao ◽  
Lijuan Huang ◽  
Yiqi Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Screening Method ◽  
Density Lipoprotein ◽  
Binary Logistic Regression ◽  
Shape Index ◽  
Volume Index ◽  
Binary Logistic Regression Analysis ◽  
Obese People ◽  
Anthropometric Indices ◽  
Cross Sectional

Abstract Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease (CVD). Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic (ROC) curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: -0.227 for male, -0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR=1.37, female: OR=1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

scholarly journals Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

2020 ◽  
Author(s):  
Lihong Wu ◽  
WenHua Zhu ◽  
Qiaohua Qiao ◽  
Lijuan Huang ◽  
Yiqi Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Screening Method ◽  
Density Lipoprotein ◽  
Binary Logistic Regression ◽  
Shape Index ◽  
Volume Index ◽  
Binary Logistic Regression Analysis ◽  
Obese People ◽  
Anthropometric Indices ◽  
Cross Sectional

Abstract Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease (CVD). Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic (ROC) curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: -0.227 for male, -0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR=1.37, female: OR=1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

scholarly journals Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

2020 ◽  
Author(s):  
Lihong Wu ◽  
WenHua Zhu ◽  
Qiaohua Qiao ◽  
Lijuan Huang ◽  
Yiqi Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Screening Method ◽  
Density Lipoprotein ◽  
Binary Logistic Regression ◽  
Shape Index ◽  
Volume Index ◽  
Binary Logistic Regression Analysis ◽  
Obese People ◽  
Anthropometric Indices ◽  
Cross Sectional

Abstract Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease (CVD). Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices.Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic (ROC) curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: -0.227 for male, -0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR = 1.37, female: OR = 1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

scholarly journals Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lihong Wu ◽  
Wenhua Zhu ◽  
Qiaohua Qiao ◽  
Lijuan Huang ◽  
Yiqi Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Characteristic Curve ◽  
Screening Method ◽  
Density Lipoprotein ◽  
Shape Index ◽  
Volume Index ◽  
Binary Logistic Regression Analysis ◽  
Obese People ◽  
Anthropometric Indices ◽  
Cross Sectional

Abstract Background Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease. Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs. Results After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: − 0.227 for male, − 0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR = 1.37, female: OR = 1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female’s high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak. Conclusions AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

scholarly journals Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sara Khosravian ◽  
Mohammad Ali Bayani ◽  
Seyed Reza Hosseini ◽  
Ali Bijani ◽  
Simin Mouodi ◽  
...  
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Neck Circumference ◽  
Volume Index ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Significant Difference ◽  
Waist To Height Ratio

AbstractBackground: The prevalence of obesity and metabolic syndrome (MetS) are increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.Methods: This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011-2016). Of total, 1488 older people aged 60-92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.Results: Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p=0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p<0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76-0.81) followed by BMI (0.746; 95% CI: 0.71-0.77), AVI (0.745; 95% CI: 0.71-0.77), and waist circumference (0.743; 95% CI: 0.71-0.77).Conclusion: Waist to height ratio was the best predictor of MetS in older adults.

scholarly journals Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e043952
Author(s):  
Yating Wu ◽  
Hongyu Li ◽  
Xiujuan Tao ◽  
Yanna Fan ◽  
Qinghan Gao ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Ability ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Screening Tools ◽  
Volume Index ◽  
Sectional Study ◽  
Anthropometric Indices ◽  
Predictive Capacity ◽  
Cross Sectional

ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).DesignCross-sectional study.SettingNingxia, China.ParticipantsA total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.MethodsORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.ResultsThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.ConclusionsBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

scholarly journals Association of breastfeeding and risk of metabolic syndrome and its components in postmenopausal parous women: Korea national health and nutrition examination survey (2010 ~ 2016)

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Jusuk Lee ◽  
Taehong Kim
Keyword(s):  
Metabolic Syndrome ◽  
Laboratory Data ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Korean Women ◽  
Cross Sectional ◽  
Increased Risk ◽  
Nationally Representative ◽  
Study Participants

Abstract Background Understanding the relationship between breastfeeding (BF) and metabolic syndrome (Mets) is important for maternal long-term health benefits and disease prevention. This study aimed to examine the association between BF and Mets and its components among postmenopausal parous Korean women. Methods This cross-sectional study on 10,356 Korean women used nationally representative data from the KNHANES from 2010 to 2016. Anthropometric, laboratory data and manual BP were measured. A multivariate logistic regression analysis was conducted to examine the association of BF with Mets and its components after adjusting for potential confounding variables. A p-value < 0.05 was to be considered statistically significant. Results Mets was present in 42% of the study participants. The BF group had low household income and education level. The prevalence of Mets in the BF group was higher than that in the non-BF group (42.69% vs. 34.76%, p <  0.001). BF was associated with increased risk of Mets (odds ratio [OR]: 1.4, 95% confidence interval [CI]: 1.18–1.65, p <  0.001). The BF group was at higher risks for diabetes (OR: 1.5, 95%CI: 1.14–1.98), hypertension (OR: 1.32, 95%CI: 1.03–1.68), hypertriglyceridemia (OR: 1.42, 95%CI: 1.02–1.99) and low high-density lipoprotein cholesterol (OR: 1.32, 95%CI: 1.06–1.65). Conclusion In this study, BF did not affect decreasing the prevalence of Mets and its components.

scholarly journals The Prevalence and Predictors of Hypertension and the Metabolic Syndrome in Police Personnel

2021 ◽  
Vol 18 (13) ◽  
pp. 6728
Author(s):  
James D. Yates ◽  
Jeffrey W. F. Aldous ◽  
Daniel P. Bailey ◽  
Angel M. Chater ◽  
Andrew C. S. Mitchell ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Job Type ◽  
The Metabolic Syndrome ◽  
High Prevalence ◽  
Police Personnel ◽  
Behavioural Factors ◽  
Cardiometabolic Risk Markers ◽  
Police Forces

Hypertension and metabolic syndrome (METSYN) are reportedly high in police forces. This may contribute to health deterioration and absenteeism in police personnel. Police forces comprise of staff in ‘operational’ and ‘non-operational’ job types but it is not known if job type is associated to hypertension and METSYN prevalence. This study aimed to explore the prevalence of hypertension and METSYN, the factors associated with the risk of hypertension and METSYN, and compare physiological, psychological, and behavioural factors between operational and non-operational police personnel. Cross-sectional data was collected from 77 operational and 60 non-operational police workers. Hypertension and METSYN were prevalent in 60.5% and 20% of operational and 60.0% and 13.6% of non-operational police personnel, respectively (p > 0.05). Operational job type, moderate organisational stress (compared with low stress) and lower high-density lipoprotein cholesterol were associated with lower odds of hypertension, whereas increasing body mass index was associated with increased odds of hypertension (p < 0.05). None of the independent variables were significantly associated with the odds of METSYN. Operational police had several increased cardiometabolic risk markers compared with non-operational police. Given the high prevalence of hypertension and METSYN in operational and non-operational personnel, occupational health interventions are needed for the police and could be informed by the findings of this study.

scholarly journals Raised TSH is associated with endothelial dysfunction in Metabolic Syndrome: A case control study

2017 ◽  
Vol 55 (4) ◽  
pp. 212-221 ◽  
Author(s):  
Ashok Kumar Ahirwar ◽  
Archana Singh ◽  
Anju Jain ◽  
Surajeet Kumar Patra ◽  
Binita Goswami ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Endothelial Dysfunction ◽  
Subclinical Hypothyroidism ◽  
Serum Insulin ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Healthy Controls ◽  
Healthy Control ◽  
Study Population ◽  
Serum Tsh

AbstractIntroduction. Endothelial dysfunction has been considered as one of the important factors in pathogenesis of Metabolic Syndrome (Met S). Subclinical hypothyroidism (SCH) has also been reported to be associated with Met S. The aim of our study is to evaluate the association of raised TSH with mediators of endothelial dysfunction in Met S with Subclinical hypothyroidism as compared to healthy controls.Methods. Study population consisted of 100 subjects, out of which 50 were cases of Met S and 50 were healthy controls. Met S group were further divided into two, based on the presence & absence of SCH. Serum insulin, T3, T4, TSH were measured by chemiluminescence based immunoassay (CLIA). Serum nitric oxide (NO) levels were measured by Modified Griess’s method and serum endothelin-1 (ET-1) levels were measured by ELISA.Results. Out of 50 cases of Met S, SCH was diagnosed in 22. The mean serum TSH levels were significantly higher in Met S cases as compared to healthy controls (5.7 ± 1.2 μIU/mL vs. 2.3 ± 1.6 μIU/mL, P <0.0001). Mean serum NO levels were significantly lower in Met S cases as compared to healthy control (15.4 ± 10 μM vs. 21 ± 10 μM, p = 0.009). Mean serum ET-1 levels were significantly higher in Met S cases as compared to healthy controls (2.68 ± 1.7 fmol/mL vs. 2.1 ± 0.84 fmol/mL, p = 0.011). On Pearson’s correlation analysis, TSH showed positive correlation with ET-1 (r = 0.341, p = 0.001) and negative correlation with NO (r = −0.331, p = 0.001). Binary logistic regression analysis showed that TSH, NO and ET-1 has significant odd’s ratio for predicting Met S.Conclusion. Met S cases were screened for thyroid abnormalities and found to have 44% of SCH along with co-existing endothelial dysfunction. Raised TSH in SCH could cause endothelial dysfunction which may lead to Met S and associated co-morbidities. Present study gives new insight in linking endothelial dysfunction and raised TSH in Met S. Therefore, Met S cases should be screened for SCH and treated appropriately to attenuate endothelial dysfunction and associated comorbidities in Met S.

scholarly journals Sex-based differences in and risk factors for metabolic syndrome in adults aged 40 years and above in Northeast China: Results from the cross-sectional China national stroke screening survey

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e038671
Author(s):  
Feng-E Li ◽  
Fu-Liang Zhang ◽  
Peng Zhang ◽  
Dong Liu ◽  
Hao-Yuan Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Junior High School ◽  
Rural Areas ◽  
Northeast China ◽  
Density Lipoprotein ◽  
High Body Mass Index ◽  
Cross Sectional ◽  
Sample Data ◽  
High Incidence

ObjectivesLow levels of income and education are risk factors for metabolic syndrome in the population of Northeast China, which has a high incidence of metabolic syndrome and cardiovascular diseases. This study aimed to determine sex-based differences associated with the prevalence of and risk factors for metabolic syndrome among people older than 40 years in Northeast China; this has not been previously investigated.DesignThis study analysed a portion of the large sample data of the national cross-sectional screening of China from 2016. Metabolic syndrome was defined as the presence of any three of the following five risk factors: abnormal waist circumference; high levels of triglycerides, high-density lipoprotein cholesterol or fasting plasma glucose; and elevated blood pressure. Multiple regression analysis was used to investigate sex-based differences in the prevalence of, and risk factors for metabolic syndrome.SettingThe study was conducted in Dehui City, Jilin Province, China.ParticipantsA total of 4052 participants with complete questionnaire information and laboratory examination results were included.ResultsThe prevalence of metabolic syndrome was 50.1% overall (38.4% in men and 57.9% in women; p<0.001). High body mass index and hip circumference were associated with metabolic syndrome in both sexes. In addition, physical inactivity (OR and 95% CI 1.44 (1.06 to 1.97); p=0.022) in men and advanced age (OR and 95% CI 1.54 (1.15 to 2.04); p=0.003) in women were factors associated with metabolic syndrome. Women with junior high school education or above and living in rural areas were less likely to have metabolic syndrome. For men, education and rural or urban living had no association with metabolic syndrome.ConclusionsThe risk factors for metabolic syndrome have similarities and differences in different sexes; thus, the prevention and treatment of metabolic syndrome should be based on these sex differences.

scholarly journals Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Metabolic Syndrome ◽  
Multivariable Analysis ◽  
Significant Trend ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

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