Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome

Evaluation of visceral adipose tissue thresholds for elevated metabolic syndrome risk across diverse populations: A systematic review

Beyond obesity, excess levels of visceral adipose tissue (VAT) significantly contribute to the risk of developing metabolic syndrome (MetS), although thresholds for increased risk vary based on population, regions of interest, and units of measure employed. We sought to determine whether a common threshold exists that is indicative of heightened MetS risk across all populations, accounting for sex, age, BMI, and race/ethnicity. A systematic literature review was conducted in September 2023, presenting threshold values for elevated MetS risk. Standardization equations harmonized the results from DXA, CT, and MRI systems to facilitate a comparison of threshold variations across studies. A total of 52 papers were identified. No single threshold could accurately indicate elevated risk for both males and females across varying BMI, race/ethnicity, and age groups. Thresholds fluctuated from 70 to 165.9 cm2, with reported values consistently lower in females. Generally, premenopausal females and younger adults manifested elevated risks at lower VAT compared to their older counterparts. Notably, Asian populations exhibited elevated risks at lower VAT areas (70-136 cm2) compared to Caucasian populations (85.6-165.9 cm2). All considered studies reported associations of VAT without accommodating covariates. No single VAT area threshold for elevated MetS risk was discernible post-harmonization by technology, units of measure, and region of interest. This review summarizes available evidence for MetS risk assessment in clinical practice. Further exploration of demographic-specific interactions between VAT area and other risk factors is imperative to comprehensively delineate overarching MetS risk.

Optimal cut-off values of visceral fat area for predicting metabolic syndrome among patients with ischemic stroke: a cross-sectional study

Objectives

The prevalence of metabolic syndrome (MetS) among patients with ischemic stroke is relatively high. The visceral fat area (VFA) is a predictor of MetS. This study aimed to estimate sex-specific optimal cut-off values of VFA and MetS risk factors among patients with ischemic stroke.

Methods

A cross-sectional study including 851 patients with ischemic stroke was conducted between March 2019 and January 2020 in a tertiary hospital in the northeast of China. VFA was measured using the dual bioelectrical impedance method. Binary logistic regression analysis was used to investigate MetS risk factors, and the VFA cut-off value was assessed using receiver operating characteristic curve analysis.

Results

The overall prevalence of MetS was 43.4%. After adjusting for potential confounders, female sex (odds ratio [OR] = 2.86, p < 0.001), the presence of visceral obesity according to VFA (OR = 7.45, p < 0.001), being overweight (OR = 2.75, p < 0.001) or obesity (OR = 6.00, p < 0.001) were associated with an increased risk of MetS. The correlation between VFA and MetS in patients with ischemic stroke was strongest with cut-off values of 104.3 cm2 (sensitivity 73.0%, specificity 83.1%) for men, and 94.1 cm2 (sensitivity 70.9%, specificity 72.9%) for women.

Conclusion

MetS affected approximately a half of patients with ischemic stroke. Female sex, visceral obesity, and body mass index were independent risk factors for the development of MetS. Sex-specific reference values for VFA are proposed for the prediction of incident MetS in patients with ischemic stroke.

Prevalence of metabolic syndrome and its association with CT-based central adiposity measures: a cross-sectional study at a tertiary care hospital in Pakistan

OBJECTIVES

To assess the prevalence of metabolic syndrome (MS) and association of central obesity measures such as body mass index (BMI), visceral fat adiposity (VFA) and superficial fat adiposity (SFA) with MS, diabetes (DM) and hypertension (HTN).

DESIGN

Cross-sectional study design.

SETTING

Tertiary care hospital in Pakistan.

PARTICIPANTS

165 participants. There were 124 male participants and 41 female participants of Pakistani population. All participants above 18 years, who had unenhanced CT abdomen examination and relevant blood workup, were included. Patients with a known clinical history of coronary artery disease, HTN and DM as well as pregnant patients were excluded.

INTERVENTIONS

VFA and SFA were estimated, at the level of the umbilicus. Data of BMI, MS, DM and HTN were extracted from patient files. Data for MS, DM and HTN were recorded as binary variables.

OUTCOME MEASURES

The primary outcome measures were the prevalence of MS and the association of MS, DM and HTN with gender, VFA, SFA and BMI. P value of <0.05 was taken as significant with CI of 95%.

RESULTS

The prevalence of MS was 29.7%. There was a significant association of MS, DM and HTN with VFA, SFA and BMI. In gender-based analysis 48.7% of the female participants had MS. In subset analysis, 47% of male subjects in the third tertile of VFA revealed significant association with MS (p value <0.05) while only 32.7% of subjects in the obesity category of BMI had MS. SFA revealed a significant association with DM only (p value <0.5).

CONCLUSION

In conclusion, VFA shows a significant association with MS, DM and HTN. Considering these results, further studies with a larger sample size are warranted to generate gender-based cut-offs for VFA for obesity screening purposes.

Evaluation for Performance of Body Composition Index Based on Quantitative Computed Tomography in the Prediction of Metabolic Syndrome

Objective: We aimed to evaluate the performance of predicting metabolic syndrome (MS) using body composition indices obtained by quantitative computed tomography (QCT). Methods: In this cross-sectional study, data were collected from 4745 adults who underwent QCT examinations at a Chongqing teaching hospital between July 2020 and March 2022. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total abdominal fat (TAT), abdominal muscle tissue (AMT), and liver fat content (LFC) were measured at the L2-L3 disc level using specialized software, and the skeletal muscle index (SMI) were calculated. The correlations between body composition indicators were analyzed using the Pearson correlation analysis. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to assess these indicators' predictive potential for MS. Results: VAT and TAT exhibited the best predictive ability for MS, with AUCs of 0.797 [95% confidence interval (CI): 0.779-0.815] and 0.794 (95% CI: 0.775-0.812) in males, and 0.811 (95% CI: 0.785-0.836) and 0.802 (95% CI: 0.774-0.830) in females. The AUCs for VAT and TAT were the same but significantly higher than body mass index and other body composition measures. SAT also demonstrated good predictive power in females [AUC = 0.725 (95%CI: 0.692-0.759)] but fair power in males [AUC = 0.6673 (95%CI: 0.650-0.696)]. LFC showed average predictive ability, AMT showed average predictive ability in males but poor ability in females, and SMI had no predictive ability. Correlation analysis revealed a strong correlation between VAT and TAT (males: r = 0.95, females: r = 0.89). SAT was strongly correlated with TAT only in females (r = 0.89). In the male group, the optimal thresholds for VAT and TAT were 207.6 and 318.7 cm2, respectively; in the female group, the optimal thresholds for VAT and TAT were 128.0 and 269.4 cm2, respectively. Conclusions: VAT and TAT are the best predictors of MS. SAT and LFC can also be acceptable to make predictions, whereas AMT can only make predictions of MS in males.

Prediction of high visceral adipose tissue for sex-specific community residents in Taiwan

Visceral adipose tissue accumulation is strongly linked with numerous chronic diseases; however, the accessibility for visceral adipose tissue measurement is limited. This study employed a cross-sectional design to determine the optimal strongest predictor of high visceral adipose tissue in each sex and identified the optimal cutoff value thereof. Purposive sampling was used to recruit 94 men and 326 women aged ≥40 years in southern Taiwan. Receiver operating characteristic curve analysis was used to explore the optimal predictor of high visceral adipose tissue (defined as ≥135 cm2 for men and ≥100 cm2 for women) in each sex. The waist-to-hip ratio was the strongest predictor for men, with a cutoff value of 0.96 yielding the maximum sensitivity (94.29%) and specificity (93.22%). By contrast, body mass index was the strongest predictor for women, with a cutoff value of 25.45 kg/m2 yielding the maximum sensitivity (87.18%) and specificity (87.55%). The results may serve as a reference for health policy-makers in screening for high visceral adipose tissue to identify individuals at high risk of developing chronic diseases for health promotion.

Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study

We aimed to investigate the association of a sustainable diet with a long-term reduction in waist circumference (WC) while identifying novel biomarkers for WC reduction (WCR). The participants were recruited initially during 2004-2013 in a large hospital-based cohort, and the follow-up measurements were conducted during 2012-2016. The 65,611 adults aged 45-75 were categorized into WC-loss (n = 22,290) and WC-gain (n = 43,321). Each study investigated demographic, anthropometric, biochemical, genetic, and dietary factors. The modified Healthy Eating Index (MHEI), dietary patterns, and glycemic index were calculated from a validated semi-quantitative food frequency questionnaire. Novel biomarkers influencing WC reduction were identified using machine learning approaches. A WCR was inversely associated with metabolic syndrome (MetS) risk and its components. Daily energy intake did not differ between those with and without WCR. However, MHEI, which represents diet quality, demonstrated a positive association with WCR. Among various dietary patterns, the Asian-style balanced diet (ABD), including more fermented soybeans and less restricted salt than the Diet Approach to Stop Hypertension, was positively associated with WCR. However, an inverse association was observed between the diet that was high in noodle and processed meat consumption and that which was high in rice consumption. However, the PRS for abdominal obesity did not significantly interrupt WCR. The receiver operating characteristic curve in the prediction model for WCR was about 0.86. The biomarkers in the models included MetS components, inflammation index, diet components, alcohol consumption, and smoking status, but not genetic factors. In conclusion, adopting a high-quality diet with a high MHEI like ABD leads to WCR, irrespective of genetic influences. These results could be applied to develop effective strategies for preventing and managing abdominal obesity.

Impact of visceral obesity on the short-term outcomes after laparoscopic appendectomy

OBJECTIVE

To investigate the effect of visceral obesity on short-term outcomes after laparoscopic appendectomy (LA).

METHODS

a retrospective study on 441 patients who underwent a LA between July 2019 and July 2020. According to the cutoff visceral fat area (VFA) for visceral obesity, the patients were divided into two groups: visceral obesity group (n = 123) and non-visceral obesity group (n = 318). The general information, comorbidities, perioperative monitoring indicators, and postoperative complications of the patients were collected.

RESULTS

Compared with the non-visceral obesity group, the proportion of overweight patients (56.10%), preoperative white blood cell count (12.92 (9.99, 15.58)*10⁹mg/dl), postoperative white blood cell count (9.71 ± 3.91*10⁹mg/dl), and hospitalization costs (16,220.93 ± 7038.76¥) in the visceral obesity group were significantly different (all p < 0.05). Additionally, multivariate logistic regression analysis revealed that visceral obesity (2.679, 95%CI: 1.155-5.849, p = 0.027), indwelling drainage tube (7.832, 95%CI: 2.151-27.428, p < 0.001), and perforated appendicitis (3.181, 95%CI: 1.195-7.136, p = 0.025) were identified to be independent risk factors for incision infection after LA. The area under receiver operating characteristic (ROC) curve value for VFA predicting incisional infection after LA was 0.770.

CONCLUSIONS

Visceral obesity is one of the independent risk factors for incisional infection after LA, and can be used as one of the reference indicators for prognostic assessment of short-term outcomes after LA.

Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China

BACKGROUND

Since the discovery of metabolic-associated fatty liver disease (MAFLD) in 2020, no report on the connection between the visceral fat area (VFA) and MAFLD has been published in China, and the ideal cutoffs of VFA for predicting MAFLD has not been determined so far. Thus, the purpose of this research was to clarify the relationship between VFA and MAFLD and the ideal cutoffs of VFA to predict MAFLD in the Chinese population.

METHODS

Five thousand three hundred forty subjects were included in this research, with 30% randomly selected for the validation set (n = 1602) and 70% for the Training set (n = 3738). The association between VFA and MAFLD was determined by multiple logistic regression. ROC curves were used to evaluate the prediction effect of VFA on MAFLD.

RESULTS

Multiple logistic regression analysis revealed that the VFA ORs (95% CIs) were 1.25 (1.20, 1.29) for women and 1.15 (1.12, 1.17) for men. Meanwhile, the VFA quartile OR (95% CI) were 3.07 (1.64, 5.75), 7.22 (3.97, 13.14), 18.91 (10.30, 34.71) for women and 3.07 (1.64, 5.75), 7.22 (3.97, 13.14),18.91 (10.30, 34.71) for men in the Q2, Q3, and Q4 groups compared with Q1. The ROC curve showed the VFA, WC, WHR, and WHtR to predict MAFLD, the AUC value of VFA was the highest and the prediction effect was the best. The ideal cutoffs of VFA to predict MAFLD was 115.55 cm² for women and 178.35 cm² for men, and the AUC was 0.788 and 0.795, respectively. Finally, the AUC was 0.773 for women and 0.800 for men in the validation set.

CONCLUSION

VFA was an independent predictive factor for MAFLD, and the ideal cutoff of VFA to predict MAFLD was 115.55 cm² in women and 178.35 cm² in men.

Impact of metabolic syndrome on the short- and long-term outcomes for the elderly patients with gastric cancer after radical gastrectomy

BACKGROUND

Metabolic syndrome (MetS) and gastric cancer are age-related diseases, and their incidence rates have risen in past decades. However, few studies have examined the relationship between MetS and the prognosis of elderly patients who underwent radical gastrectomy, and the conclusions remain controversial.

METHODS

We conducted a prospective study of elderly patients who underwent radical gastrectomy for gastric cancer from August 2014 to February 2018. MetS was defined based on visceral fat area (VFA) instead of BMI or waist circumference. Receiver operating characteristic curve analysis was used to determine the cutoff values for VFA.

RESULTS

A total of 585 patients were included in this study. The optimal cutoff values for VFA were 96.1 cm² for men and 105.2 cm² for women, and 212 patients were diagnosed with MetS. The patients with MetS suffered significantly more postoperative complications than those without MetS (37.3% versus 21.4%, P < 0.001). The multivariable logistic regression analysis demonstrated that MetS (OR 2.923, P < 0.001), BMI < 18.5 kg/m² (OR 2.086, P = 0.045), cardiac tumor (OR 1.865, P = 0.013), and Nutritional Risk Screening 2002 scores ≥ 3 (OR 1.654, P = 0.015) were independent risk factors for postoperative complications. During a median follow-up period of 56.4 months, the MetS group and the non-MetS group had comparable overall survival and disease-specific survival.

CONCLUSIONS

MetS was an independent risk factor for complications of the elderly patients after radical gastrectomy, but had no influence on long-term survival.

Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus

BACKGROUND

This study aimed to determine the optimal cut-off values of visceral fat area (VFA) and visceral-to-subcutaneous fat ratio (VSR) for predicting incident type 2 diabetes mellitus (T2DM).

METHODS

A total of 10,882 individuals (6,835 men; 4,047 women) free of T2DM at baseline aged between 30 and 79 years who underwent abdominal computed tomography scan between 2012 and 2013 as a part of routine health check-ups were included and followed. VFA, subcutaneous fat area, and VSR on L3 vertebral level were measured at baseline.

RESULTS

During a median follow-up of 4.8 years, 730 (8.1% for men; 4.3% for women) incident cases of T2DM were identified. Receiver operating characteristic curve analysis showed that the optimal cut-off values of VFA and VSR for predicting incident T2DM were 130.03 cm2 and 1.08 in men, respectively, and 85.7 cm2 and 0.48 in women, respectively. Regardless of sex, higher VFA and VSR were significantly associated with a higher risk of incident T2DM. Compared with the lowest quartiles of VFA and VSR, the highest quartiles had adjusted odds ratios of 2.62 (95% confidence interval [CI], 1.73 to 3.97) and 1.55 (95% CI, 1.14 to 2.11) in men, respectively, and 32.49 (95% CI, 7.42 to 142.02) and 11.07 (95% CI, 3.89 to 31.50) in women, respectively.

CONCLUSION

Higher VFA and VSR at baseline were independent risk factors for the development of T2DM. Sex-specific reference values for visceral fat obesity (VFA ≥130 cm2 or VSR ≥1.0 in men; VFA ≥85 cm2 or VSR ≥0.5 in women) are proposed for the prediction of incident T2DM.

Validation for measurements of skeletal muscle areas using low-dose chest computed tomography

Various methods were suggested to measure skeletal muscle areas (SMAs) using chest low-dose computed tomography (chest LDCT) as a substitute for SMA at 3rd lumbar vertebra level (L3-SMA). In this study, four SMAs (L1-SMA, T12-erector spinae muscle areas, chest wall muscle area at carina level, pectoralis muscle area at aortic arch level) were segmented semi-automatically in 780 individuals taking concurrent chest and abdomen LDCT for healthcare screening. Four SMAs were compared to L3-SMA and annual changes were calculated from individuals with multiple examinations (n = 101). Skeletal muscle index (SMI; SMA/height²) cut-off for sarcopenia was determined by lower 5th percentile of young individuals (age ≤ 40 years). L1-SMA showed the greatest correlation to L3-SMA (men, R² = 0.7920; women, R² = 0.7396), and the smallest annual changes (0.3300 ± 4.7365%) among four SMAs. L1-SMI cut-offs for determining sarcopenia were 39.2cm²/m² in men, and 27.5cm²/m² in women. Forty-six men (9.5%) and ten women (3.4%) were found to have sarcopenia using L1-SMI cut-offs. In conclusion, L1-SMA could be a reasonable substitute for L3-SMA in chest LDCT. Suggested L1-SMI cut-offs for sarcopenia were 39.2cm²/m² for men and 27.5cm²/m² for women in Asian.

Novel Adiposity and Biochemical-Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults

Although several indices used in clinical practice identify cardiometabolic risk (CR) and metabolic syndrome (MetS), it is imperative to develop indices for specific populations. Therefore, we proposed and validated sex-specific indices to identify CR associated with visceral adipose tissue (VAT) accumulation or MetS in Mexican adults. Additionally, a cut-off value for the visceral fat area (VFA) to identify CR was proposed. Clinical, anthropometric, biochemical, and body composition variables were evaluated in 904 subjects (25-45 years old) (84.4% men). Multiple and logistic regressions were used to model the indices and ROC curve analysis to determine predictive performance. An additional cohort (n = 186) was used for indices validation, and Cohen's kappa coefficient was employed for agreement analysis. The proposed sex-specific indices, called Mexican adiposity indices (MAIs) and biochemical-anthropometric indices (BAIs), were good predictors for CR and MetS. The kappa coefficients showed a moderate agreement level. The VFA cut-off value chosen to identify CR was 100.3 cm2 because it had the best combination of sensitivity (66.8%) and specificity (64.4%). MAIs and BAIs could be clinical tools to identify either CR associated to VAT accumulation or MetS, respectively. A VFA cut-off value of 100.3 cm2 could identify CR in Mexican men.

Measurement of visceral fat and abdominal obesity by single-frequency bioelectrical impedance and CT: a cross-sectional study

OBJECTIVES

The measurement of visceral fat (VF) is clinically important for the identification of individuals at high risk of visceral obesity-related health conditions. Bioelectrical impedance analysis (BIA) is a widely available and frequently used body composition assessment method, but there have been few validation studies for the measurement of VF. This validation study investigated agreement between BIA and CT for the assessment of VF in adults.

DESIGN

Cross-sectional study.

SETTING

Between 2015 and 2016 in China.

PARTICIPANTS

A total of 414 adults (119 men and 295 women) aged 40-82 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

CT-visceral fat area (VFA) was derived at the L2-3 and umbilicus level and VFA cut-offs for visceral obesity applied. BIA measurements of visceral fat level were compared with CT VFA findings using scatter plots and receiver operator characteristic (ROC) curves.

RESULTS

Scatter plots showed poor agreement between BIA and CT-derived visceral fat measurements in both sexes (R=0.387-0.636). ROC curves gave optimum figures for sensitivity and specificity of 65% and 69% in women and 76% and 70% in men, respectively, for BIA to discriminate between adults with normal levels of VF and those with visceral obesity determined by CT.

CONCLUSION

BIA has limited accuracy for the assessment of VF in adults in practice when compared with the criterion method.

Comparison of bioelectrical body and visceral fat indices with anthropometric measures and optimal cutoffs in relation to hypertension by age and gender among Chinese adults

Background

Few studies have compared bioelectrical body and visceral fat indices with anthropometric measures, or evaluated their optimal cutoffs in relation to hypertension among Asians. We compared the efficiencies of bioelectrical indices (percentage of body fat, PBF; visceral fat area, VFA) with anthropometric measures (body mass index, BMI; waist-hip ratio, WHR) for hypertension and re-evaluated the optimal cutoffs of each index by age and gender.

Methods

We conducted a cross-sectional survey among 8234 adults for health examination. PBF, VFA, BMI, WHR, and data on hypertension and behaviors were collected. Receiver operating characteristic (ROC) curve and areas under curves (AUCs) were used to analyze the efficiencies of the indices for hypertension, optimal cutoffs were estimated using the Youden index.

Results

A total of 8234 individuals aged 21–91 with median age 44 (interquartile range [IQR] 33–56) years were included and 40.56% were men. The overall prevalence of hypertension was 27.47%. The studied indices were all associated with hypertension in all age-specific groups both among men and women except for WHR in 21–29 years old men and PBF in in 21–29 years old women. Among males, there were no statistical differences in powers of four indices for hypertension in all age-specific groups, except for 40–49 years, in which WHR was better than VFA. Among females, no differences were found among the indices in 30–39 and 70–79 years groups, while WHR was the best in 21–29 years group, VFA was better than PBF in 30–39 and 50–59 years groups, BMI was better than PBF and WHR in 60–69 years group. The optimal cutoffs of PBF, VFA, BMI and WHR ranged from 23.9 to 28.7%, 86.4 to 106.9cm², 23.5 to 27.1 kg/m², 0.92 to 0.96 across the age categories in males, and 32.8 to 36.3%, 75.9 to 130.9cm², 21.9 to 26.4 kg/m², 0.84 to 0.95 across the age categories in females, respectively.

Conclusions

The obesity indices’ efficiencies for hypertension varied by age and gender, and their cutoff values varied across the age categories and gender. Specific indices and cutoffs based on person’s age and gender should be used to identify individuals with hypertension.

CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China

BACKGROUND

Although abdominal adiposity is associated with an altered cardiometabolic risk profile, the specific contribution of abdominal adipose tissue distribution remains not fully understood. Computed tomography (CT) is a well-established and precise method to measure abdominal adipose tissue distribution. The present study investigated abdominal adiposity assessed by CT in a large-scale Chinese population.

METHOD

A total of 59,429 adults who underwent a low dose chest CT for lung cancer screening at one of 13 health checkup centers throughout China were evaluated. Abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas were measured at the center of the 2nd lumbar vertebra with Mindways quantitative CT software using the existing CT dataset without any additional radiation exposure. The ratio of visceral to total adipose tissue (TAT) areas (VAT/TAT ratio) was calculated and expressed as a percentage. Anthropometric indices including body mass index (BMI) and waist circumference were also obtained.

RESULTS

BMI, waist circumference, VAT area, SAT area, and the VAT/TAT ratio were 25.0 ± 3.0 kg/m², 90 ± 8 cm, 194 ± 77 cm², 85 ± 41 cm², and 69.5 ± 9.1%, respectively, in men and 23.3 ± 3.1 kg/m², 79 ± 8 cm, 120 ± 57 cm², 123 ± 53 cm², and 48.9 ± 9.7% in women. With increasing age, VAT area and the VAT/TAT ratio increased in both sexes whereas SAT area decreased in men (P < 0.001 for all). After adjustment for BMI and waist circumference, older individuals showed higher VAT area and higher VAT/TAT ratio than younger subjects (P < 0.001 for all). Adjusted VAT areas in participants aged 75 or older was 45 cm² (95% confidence interval [CI]: 41 cm², 50 cm²) higher in men and 43 cm² (95% CI: 37 cm², 49 cm²) higher in women compared with participants aged 31-44 years. Additionally, differences in VAT area across age groups increased as BMI or waist circumference increased. VAT and SAT areas, but not the VAT/TAT ratio, were positively associated with BMI and waist circumference in every age group.

CONCLUSION

In a nationwide study conducted in China, distributions of CT-derived measures of visceral and subcutaneous adiposity were found to vary significantly between sex and age groups. Our study also revealed that the proportion of VAT (an important driver of cardiometabolic risk) could not be predicted from BMI in a Chinese population.

Optimal Cut-Off Values of Visceral Fat Area for Predicting Metabolic Syndrome Among Type 2 Diabetes Patients in Ningbo, China

OBJECTIVE

To examine the optimal cut-off values of visceral fat area (VFA) for predicting metabolic syndrome (MetS) among type 2 diabetes (T2D) patients in Ningbo China.

METHODS

A total of 1017 subjects were selected from T2D patients who accepted standardized management by the National Standardized Metabolic Disease Management Center at Ningbo First Hospital from March 2018 to January 2020. Demography and medical information were collected through questionnaires. Regional adiposity was examined by a visceral fat analyzer using the dual bioelectrical impedance method.

RESULTS

Overall, 769 (75.6%) T2D patients were defined to have MetS. Patients with MetS had higher anthropometric values and biomarkers, compared to those without MetS. VFA was significantly correlated with risk factors of MetS. Further logistic regression models showed that VFA was significantly associated with MetS in men (OR=1.02) and in women (OR=1.03) (P<0.001 for both genders) after controlling for related factors. Receiver-operating characteristic curve analysis demonstrated that the optimal cut-off values of VFA were 84.7 cm² for men and 81.1 cm² for women to predict MetS in T2D patients.

CONCLUSION

VFA was associated with MetS and could be an independent predictor of MetS in T2D patients.

CLINICAL TRIAL REGISTRATION

www.ClinicalTrials.gov, number: NCT03811470.

CT-defined visceral adipose tissue thresholds for identifying metabolic complications: a cross-sectional study in the United Arab Emirates

OBJECTIVES

Visceral adipose tissue (VAT) is closely related to obesity complications. We aimed to determine the optimal sex-specific and age-specific VAT thresholds for predicting metabolic complications among individuals living in the United Arab Emirates (UAE).

DESIGN

Retrospective cross-sectional study.

SETTING

We reviewed medical records of adults who visited a hospital in the UAE.

PARTICIPANTS

A total of 369 subjects were included in the final analysis after application of inclusion and exclusion criteria.

PRIMARY OUTCOME MEASURES

The prevalence of metabolic syndrome (MES).

RESULTS

MES measures excluding waist circumference were present in 73.4% of women and 78.5% of men. VAT areas adjusted for age were significantly greater in the MES group compared with the non-MES group regardless of sex (p<0.05 for all relations); however, subcutaneous adipose tissue areas adjusted for age were not significantly different. Areas under the curve used to predict MES were statistically significant for VAT and visceral to subcutaneous fat ratios among both men and women. Identified cut-off values of VAT to predict MES were 132.0 cm² in both sexes for individuals under the age of 50 years. For those over 50 years of age, VAT thresholds were greater in women compared with men (173 cm² vs 124.3 cm², respectively).

CONCLUSIONS

Optimal VAT cut-offs to predict MES were 132 cm² for individuals under 50 years old living in the UAE. These measures are potential target visceral fat values that could be used to reduce obesity-related morbidity in populations with pre-existing metabolic complications.

Metabolic Syndrome, as Defined Based on Parameters Including Visceral Fat Area, Predicts Complications After Surgery for Rectal Cancer

BACKGROUND/OBJECTIVES

Metabolic syndrome (MetS) has become a major public health problem. However, few studies have examined the impact of MetS on the postoperative complications of colorectal cancer and the conclusions remain controversial. The present study aimed to investigate whether MetS, as defined based on visceral fat area (VFA) instead of BMI or waist circumference, would predict complications after surgery for rectal cancer.

SUBJECTS/METHODS

We conducted a retrospective study of patients who underwent surgery for rectal cancer at our department between January 2013 and August 2018. Univariate and multivariate analyses evaluating the risk factors for postoperative complications were performed. A receiver operating characteristic curve analysis was used to determine the gender-specific cut-off values for VFA.

RESULTS

A total of 381 patients were included in the study. The optimal cut-off values for VFA were 117.9 cm² for men and 76.9 cm² for women, and 153 patients were diagnosed as having MetS. The rate of postoperative complication was significantly higher in the MetS group than that in the non-MetS group (34.6% versus 15.8%, P < 0.001). The multivariate logistic regression analysis demonstrated that MetS (OR 3.712, P < 0.001), NRS 2002 scores ≥ 3 (OR 2.563, P = 0.001), and tumor located at the lower 1/3 (OR 3.290, P = 0.001) were independent risk factors for complications after surgery for rectal cancer.

CONCLUSION

Metabolic syndrome, as defined based on parameters including visceral fat area, was an independent risk factor for complications after surgery for rectal cancer.

Differential effect of obesity on the incidence of retinal vein occlusion with and without diabetes: a Korean nationwide cohort study

We aimed to evaluate the association between obesity and the incidence of retinal vein occlusion (RVO) with and without diabetes mellitus (DM).This is a retrospective cohort study using Korean National Health Insurance System data. The participants were 23,061,531 adults older than 20 years who received a health examination at least once between 2009 and 2012, and all patients were observed for RVO development until 2015. We used a multivariate adjusted Cox regression analysis to evaluate the association between RVO and body mass index (BMI) with and without DM. The analysis were evaluated via a hazard ratio (HR) and 95% confidence interval (CI). The age-, sex-, and multivariable-adjusted HRs for RVO were stratified by BMI. This population-based study revealed evidence that obesity has a different effect on the incidence of RVO in the presence and absence of DM.In people with DM, a lower BMI was associated with an increased risk of RVO, and a higher BMI was associated with a lower risk for RVO. In people without DM, the correlation was reversed: a lower BMI was associated with a lower risk for RVO and vice versa.