Evaluating the risk of sepsis attributing to obesity: a two-sample Mendelian randomization study.

BACKGROUND: Sepsis is a reaction to infection with high morbidity and mortality. It has been noted that patients with obesity were more likely to suffer from sepsis. However, the causality remains elucidating, as reverse causality and residual confounding could not be largely mitigated in conventional observational studies. OBJECTIVE: To evaluate the risk of sepsis attributed to obesity phenotypes including body mass index (BMI), waist circumstance (WC), and WC adjusted for BMI (WCadjBMI) in a causal way. METHODS: We conducted a two-sample Mendelian randomization (MR) study using large-scale genome-wide association study summary data with sample sizes ranging from 231 353 to 486 484. The inverse-weighted variance (IVW) was conducted as the primary approach. We also used the weighted median and MR-Egger for causal inference. A sensitivity analysis was conducted to evaluate the reliability of the MR estimates. RESULTS: IVW detected that genetic liability for increased BMI [odds ratio (OR) = 1.40, 95% confidence interval (CI) = 1.20-1.63, P = 1.52 × 10-5] and WC (OR = 1.02, 95% CI = 1.01-1.03, P = 4.28 × 10-3) predicted a higher risk of sepsis. No evidence was observed for a causal effect of WCadjBMI on sepsis risk (OR = 1.01, 95% CI = 1.00-1.02, P = 0.08). Sensitivity analysis did not identify any bias in the MR results. CONCLUSION: This MR study showed that obesity contributed to an increased risk of sepsis, indicating that obesity management might be beneficial for reducing sepsis risk. Key messages What is already known on this topic-Observational studies have reported the association between obesity and sepsis, but the causality has not been determined. What this study adds-This Mendelian randomization study demonstrated that obesity-related phenotypes, including body mass index and Waist circumstance, causally increased the risk of sepsis. How this study might affect research, practice, or policy-The findings of our study might have an implication for clinicians that obesity management might be a promised strategy for reducing the risk of sepsis.

Anthropometric indices to predict insulin resistance in women with polycystic ovary syndrome in China.

RESEARCH QUESTION: Which anthropometric index (waist-to-height ratio, waist circumference, waist-to-hip ratio and body mass index) is the best in predicting insulin resistance among Chinese women with polycystic ovary syndrome? DESIGN: A total of 1124 patients with polycystic ovary syndrome at the Reproductive Endocrinology Division of West China Second University Hospital of Sichuan University were enrolled in this study. Identification of insulin resistance was based on homeostasis model assessment of insulin resistance scores 2.77 or over. Receiver operator characteristic analysis was carried out using the four anthropometric indices as the continuous variables and insulin resistance as the categorical variable to obtain the areas under the curve. RESULT: The area under the curve for the waist-to-height ratio (0.748 ± 0.019) was greater than those for waist circumference (0.739 ± 0.019), body mass index (0.738 ± 0.017), and waist-to-hip ratio (0.659 ± 0.020) in the prediction of insulin resistance. The waist-to-height ratio also had the highest Youden indices compared with those of waist circumference, body mass index, and waist-to-hip ratio; the waist-to-height ratio cut-off was 0.49. CONCLUSION: The waist-to-height ratio with a cut-off of 0.49 was the most accurate anthropometric indicator for predicting insulin resistance among Chinese women with polycystic ovary syndrome.

Waist-to-calf circumstance ratio is an independent predictor of hepatic steatosis and fibrosis in patients with type 2 diabetes.

BACKGROUND AND AIM: Although a combination of central obesity and decreased skeletal muscle mass has been associated with various cardiometabolic disorders, its influence on the presence of non-alcoholic fatty liver disease (NAFLD) in type 2 diabetes (T2D) is unclear. We investigated whether waist-to-calf circumference ratio (WCR) predicts NAFLD or hepatic fibrosis in T2D. METHODS: Patients with T2D (n = 5507) were enrolled in this study. Hepatic steatosis was diagnosed using abdominal ultrasound and predicting score. NAFLD was defined as 'hepatic steatosis absent other causes of chronic liver disease,' such as virus or alcoholism. Degree of hepatic fibrosis was calculated using non-invasive serum biomarker-based models. Insulin resistance was assessed by short insulin tolerance test. RESULTS: The prevalence of NAFLD and obesity (BMI ≥ 25 kg/m2 , Asian definition) were 46.4% and 38.9%, respectively. NAFLD prevalence was higher with increasing WCR tertiles: lowest tertile (36% in men, 28% in women) versus highest tertile (53.8% in men, 58.2% in women, both P < 0.001 after stratification by insulin resistance status. Increasing WCR tertiles were independently associated with presence of NAFLD: odds ratio (OR) = 1.43, 95% confidence interval (CI) = 1.22-1.68 and OR = 1.56, 95% CI = 1.31-1.86, in the middle and highest tertiles, respectively. Furthermore, patients with NAFLD and the highest WCR tertile had significant fibrosis (OR = 8.62, 95% CI = 1.39-53.36, P = 0.021). Also, WCR was correlated with risk of sarcopenia (OR = 3.18, 95% CI = 2.50-4.05, P < 0.001, highest tertile). CONCLUSIONS: Higher WCR is associated with increased risk of NAFLD and hepatic fibrosis independent of insulin resistance. This suggests that WCR may be a useful index to predict high risk of hepatic steatosis in T2D.

Prediction of a new body shape index and body adiposity estimator for development of type 2 diabetes mellitus: The Rural Chinese Cohort Study.

To compare the ability of a body shape index (ABSI) and body adiposity estimator (BAE) to BMI, waist circumference (WC) and waist:height ratio (WHtR) for predicting development of type 2 diabetes mellitus (T2DM) in rural adult Chinese. The prospective cohort study included 11 687 eligible participants who were free of T2DM at baseline. The risk of new-onset T2DM for ABSI, BAE, BMI, WC and WHtR quintiles was estimated by Cox proportional-hazards regression at follow-up. We also compared the power of ABSI and BAE to BMI, WC and WHtR for predicting the development of T2DM. With increasing ABSI, BAE, BMI, WC and WHtR, T2DM incidence was substantially increased (P trend<0·0001). After adjustment for multi-covariates, risk of T2DM was increased from the second to fifth quintile as compared with first quintile for ABSI (1·27; 95 % CI 0·95, 1·69; 1·35; 95 % CI 1·00, 1·82; 1·75; 95 % CI 1·33, 2·32 and 1·87; 95 % CI 1·40, 2·49; P trend<0·0001); BAE (1·82; 95 % CI 1·38, 2·41; 1·93; 95 % CI 1·38, 2·68; 2·73; 95 % CI 1·94, 3·84 and 4·18; 95 % CI 2·98, 5·87; P trend<0·0001); BMI (1·42; 95 % CI 1·03, 1·97; 1·62; 95 % CI 1·18, 2·23; 2·59; 95 % CI 1·92, 3·50 and 3·90; 95 % CI 2·90, 5·26; P trend<0·0001); WC (1·53; 95 % CI 1·08, 2·17; 1·66; 95 % CI 1·18, 2·33; 2·72; 1·97, 3·76 and 4·09; 95 % CI 2·97, 5·62; P trend<0·0001); and WHtR (1·40; 95 % CI 0·98, 1·99; 2·06; 95 % CI 1·47, 2·88; 2·90; 95 % CI 2·10, 4·01 and 4·22; 95 % CI 3·05, 5·85; P trend<0·0001). ABSI, BAE, BMI, WC and WHR were effective and comparable in discriminating cases from non-cases of T2DM. Risk of T2DM was increased with elevated ABSI and BAE, but the predictive ability for T2DM did not differ than that of BMI, WC and WHtR in a rural Chinese population.

Automatic Thoughts, Self-Stigma, and Resilience Among Schizophrenia Patients with Metabolic Syndrome: A Cross-Sectional Study.

Purpose: The study aims to clarify the negative psychological state and resilience impairments of schizophrenia (SCZ) with metabolic syndrome (MetS) while evaluating their potential as risk factors. Patients and Methods: We recruited 143 individuals and divided them into three groups. Participants were evaluated using the Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD)-24, Hamilton Anxiety Rating Scale (HAMA)-14, Automatic Thoughts Questionnaire (ATQ), Stigma of Mental Illness scale and Connor-Davidson Resilience Scale (CD-RISC). Serum biochemical parameters were measured by automatic biochemistry analyzer. Results: The score of ATQ was highest in the MetS group (F = 14.5, p < 0.001), and the total score of CD-RISC, subscale tenacity score and subscale strength score of CD-RISC were lowest in the MetS group (F = 8.54, p < 0.001; F = 5.79, p = 0.004; F = 10.9, p < 0.001). A stepwise regression analysis demonstrated that a negative correlation was observed among the ATQ with employment status, high-density lipoprotein (HDL-C), and CD-RISC (ß=-0.190, t=-2.297, p = 0.023; ß=-0.278, t=-3.437, p = 0.001; ß=-0.238, t=-2.904, p = 0.004). A positive correlation was observed among the ATQ with waist, TG, WBC, and stigma (ß=0.271, t = 3.340, p = 0.001; ß=0.283, t = 3.509, p = 0.001; ß=0.231, t = 2.815, p = 0.006; ß=0.251, t=-2.504, p = 0.014). The area under the receiver-operating characteristic curve analysis showed that among all independent predictors of ATQ, the TG, waist, HDL-C, CD-RISC, and stigma presented excellent specificity at 0.918, 0.852, 0.759, 0.633, and 0.605, respectively. Conclusion: Results suggested that the non-MetS and MetS groups had grievous sense of stigma, particularly, high degree of ATQ and resilience impairment was shown by the MetS group. The TG, waist, HDL-C of metabolic parameters, CD-RISC, and stigma presented excellent specificity to predict ATQ, and the waist showed excellent specificity to predict low resilience level.

Associations of General and Abdominal Obesity with the Risk of Glioma Development.

The association between obesity and the risk of glioma remains unclear. We sought to evaluate the potential association between general and abdominal obesity and the risk of glioma based on a nationwide population-based cohort study of Koreans. Using data from the Korean National Health Insurance System cohort, 6,833,744 people older than 20 years who underwent regular national health examination in both 2009 and 2011 were followed until the end of 2017. We documented 4771 glioma cases based on an ICD-10 code of C71 during the median follow-up period of 7.30 years. Individuals with a body mass index (BMI) ≥ 25.0 kg/m2 were at significantly higher risk of developing glioma than those with a BMI < 25.0 kg/m2 (HR 1.08 CI 1.02-1.15). Individuals with a waist circumference (WC) ≥ 90 cm (males)/85 cm (females) also had a significantly higher risk of glioma than those with a WC < 90 cm (males)/85 cm (females) (HR 1.16 CI 1.09-1.24). In the group with a BMI ≥ 25.0 kg/m2, individuals with abdominal obesity were at significantly higher risk of developing glioma (HR 1.18 CI 1.09-1.27) than those without abdominal obesity. The role of abdominal obesity in this association was stronger in women than in men. To the best of our knowledge, this is the first demonstration that obese people may be at higher risk of glioma, especially centrally obese people from an Asian population with a BMI ≥ 25.0 kg/m2. Loss of visceral fat in people with abdominal obesity may reduce their risk of developing glioma.

Sex Differences in the Association Between Obesity and Cognitive Impairment in a Low-Income Elderly Population in Rural China: A Population-Based Cross-Sectional Study.

Background: Obesity is a potentially modifiable risk factor for cognitive impairment. However, sex-specific relationships between obesity and cognitive impairment in late life remain unclear. Objective: We aimed to assess sex differences in the association between various obesity parameters and cognitive impairment in a low-income elderly population in rural China. Methods: A population-based cross-sectional study was conducted to collect basic information from elderly residents aged 60 years and older from April 2014 to August 2014 in rural areas of Tianjin, China. Obesity parameters, including body mass index (BMI) and waist circumference (WC), and Mini Mental State Examination scores were measured, and the relationships between these variables were assessed. Results: A total of 1,081 residents with a mean age of 67.70 years were enrolled in this study. After adjusting for age, educational attainment, smoking status, drinking status, physical exercise participation, and the presence of diabetes and hyperlipidemia, blood pressure group; a high BMI was found to be associated with an increased prevalence of cognitive impairment in elderly women. Each 1-unit increase in BMI was associated with a 5.9% increase in the prevalence of cognitive impairment. WC was related to the prevalence of cognitive impairment in elderly men, and each 1-cm increase in WC was associated with a 4.0% decrease in the prevalence of cognitive impairment. However, there were no significant associations between WC and cognitive function in women or between BMI and cognitive impairment in men. Conclusion: A greater WC was positively associated with better cognitive function in low-income elderly men in rural China, whereas a higher BMI was associated with an increased risk of cognitive impairment in elderly women, independent of sociodemographic, lifestyle, and health-related comorbid factors. Our results suggest weight management of elderly women in rural China may have cognitive benefits. However, randomized controlled trials would be needed to confirm causality.

The effect of Saffron supplementation on waist circumference, HA1C, and glucose metabolism: A systematic review and meta-analysis of randomized clinical trials.

OBJECTIVE: Carotenoids (including zeaxanthin and lycopene) and phytosterols reportedly confer beneficial effects on metabolic profile and function, which is of clinical importance. Thus, we sought to review the saffron effects on waist circumstance (WC), fasting plasma glucose (FPG), and HA1C concentrations reported in Randomized Control Trials (RCTs). METHOD: A comprehensive systematic electronic search was performed in PubMed/MEDLINE, Embase, Google Scholar, Cochrane, Web of sciences, and SCOPUS to identify RCTs up to February 2019 without any language restrictions. The pooled weighted mean difference (WMD) calculated with DerSimonian-Laird random. PRISMA guidelines adhered to for this meta-analysis. RESULT: Nine articles with 12 arms containing 595 participants were included in this study. Our study found WC was significantly reduced (WMD: -2.18 cm, 95 % CI: -4.05, -0.32) and FPG (WMD: -6.54 mg/dl, 95 % CI: -10.22, -2.85) following saffron intervention. Subgroup analysis highlighted that FPG levels (WMD: -10.24 mg/dl, 95 % CI: -15.76, -4.72) reduced significantly when intervention duration was longer than twelve weeks. There was no significant effect on HA1C levels (WMD: -0.13 mg/dl, 95 % CI: -0.31, 0.04) following saffron intervention. CONCLUSION: In conclusion, the present study indicates beneficial effects on WC and FPG, following saffron supplementation.

[Study on the association between CYP24A1 genetic polymorphisms and risks related to postmenopausal breast cancer].

Objective: To evaluate the associations between CYP24A1 genetic polymorphisms and related risks on breast cancer among postmenopausal women. Methods: We carried out a population-based case-control study to include 1 134 postmenopausal women (589 cases and 545 controls) from Wuxi, Jiangsu province and to explore the association between CYP24A1 polymorphisms and related risks on breast cancer. Seven CYP24A1 variants (rs2209314, rs2585428, rs2762941, rs3787555, rs4909959, rs912505 and rs927650) were genotyped by Sequenom MassARRAY platform. Logistic regression method was used to estimate the CYP24A1 genetic variants and susceptibility of breast cancer. Loci-loci interactions were evaluated by a generalized multifactor dimensionality reduction (GMDR) method. Results: Result showed that rs2209314, rs2585428, rs2762941, rs3787555, rs4909959, rs912505 and rs927650 of CYP24A1 were not associated with breast cancer under the codominant, dominant, recessive or additive models. Among the population with <80 cm waist circumstance, rs2585428 was associated with the reduced risks on breast cancer (OR=0.64, 95%CI: 0.42-0.96). Similar negative association was observed for rs3787555 (OR=0.58, 95%CI: 0.38-0.87). The genotypes of rs2585428, rs3787555 and rs4909959 showed significant interactions with waist circumstance on the risk of breast cancer. Also, rs2209314, rs3787555 and rs912505 in CYP24A1 could alter the risk of breast cancer by way of loci-loci interaction. Conclusion: CYP24A1 variants rs2585428 and rs3787555 were associated with risks of susceptibility on breast cancer, among postmenopausal women.

Administration of Hwang-Ryun-Haedok-tang, a Herbal Complex, for Patients With Abdominal Obesity: A Case Series.

Herbal medicines have received attention as antiabdominal obesity agents. We present a series of 13 cases that demonstrate the positive effect of the herbal complex Hwang-Ryun-Haedok-Tang (HRHT; Tsumura, Tokyo, Japan) on weight and abdominal fat control in patients with abdominal obesity. We treated 13 patients with abdominal obesity treated for 54.46 ± 18.07 days with 5.0 g of HRHT daily. To evaluate the treatment, the morphometric (i.e., waist circumstance, weight, body fat) and biochemical parameters were measured once monthly. After HRHT therapy, the waist circumstance decreased from 91.96 ± 7.99 cm to 87.12 ± 8.09 cm (paired t test, P < .001) and the weight decreased from 78.09 ± 14.35 kg (average ± standard deviation) to 75.72 ± 14.60 kg (paired t test, P < .001). All 13 (100%) patients had low waist circumstances after treatment. Overall, 12 (92.3%) of the 13 patients had a lower weight and body mass index. In the present study, we showed the clinical effects of HRHT on waist circumstance, weight, body mass index, and body fat in patients with abdominal obesity. Further clinical studies investigating the effects of HRHT are needed.

ABSI is a poor predictor of insulin resistance in Chinese adults and elderly without diabetes

ABSTRACT Objective: Recently, a new obesity index (A Body Shape Index, ABSI) based on waist circumference (WC) was developed, and high ABSI corresponds to a more central concentration of body volume. It is well known that central obesity is closely linked with insulin resistance (IR). Therefore, our study aimed to examine the discriminatory power of ABSI for IR in Chinese adults and elderly without diabetes. Subjects and methods: In 2007, a cross-sectional study was made. In this study, 570 individuals without diabetes were available for analysis (male: 56.1%, mean age: 62.3 ± 6.5 years). Insulin resistance was assessed by homeostasis model assessment (HOMA-IR). Areas under the receiver operating characteristic (ROC) curves were determined to identify variables/models that could predict insulin resistance. Results: ABSI was associated with IR, the cut-off points was 0.0785 m11/6kg-2/3 to identifying IR and the area under the ROC (AUC) curve was 0.618 (95%CI: 0.561-0.675), which was not better than body mass index BMI (AUC = 0.753; 95%CI: 0.706-0.801), WC (AUC = 0.749; 95%CI: 0.700-0.797), and fasting plasma glucose (FPG, AUC = 0.752; 95%CI: 0.705-0.799). Furthermore, combination with ABSI could improve the discriminatory power of other variables for IR. The AUC curve increased from 0.753 to 0.771for BMI, 0.749 to 0.754 for WC, 0.752 to 0.769 for FPG, respectively. Conclusions: ABSI is associated with IR in the general Chinese adults and elderly without diabetes, but the discriminatory power for IR is poor. It is recommended that ABSI be used in combination with other variables.