Background: It has been well documented that obesity is closely associated with metabolic syndrome (MetS). Although body mass index (BMI) is the most frequently used method to assess overweightness and obesity, this method has been criticized because BMI does not always reflect true body fatness, which may be better evaluated by assessment of body fat and fat-free mass. The objective of this study was to investigate the best indicator to predict the presence of MetS among fat mass index, BMI and percentage of body fat (BF %) and determine its optimal cut-off value in the screening of MetS in practice. Methods: A cross-sectional study of 1698 subjects (aged 20–79 years) who participated in the annual health check-ups was employed. Body composition was measured by bioelectrical impedance analysis (BIA). Fat mass index (FMI) was calculated. Sex-specific FMI quartiles were defined as follows: Q1: <4.39, Q2:4.39- < 5.65, Q3:5.65- < 7.03, Q4:≥7.03,in men; and Q1:<5.25, Q2:5.25- < 6.33, Q3:6.33- < 7.93,Q4:≥7.93, in women. MetS was defined by National Cholesterol Education Program/Adult Treatment Panel III criteria. The association between FMI quartiles and MetS was assessed using Binary logistic regression. Receiver operating curve(ROC) analysis was used to determine optimal cutoff points for BMI,BF% and FMI in relation to the area under the curve(AUC),sensitivity and specificity in men and women. Results: The adjusted odds ratios (95% CI) for the presence of MetS in the highest FMI quartile versus lowest quartile were 79.143(21.243-294.852) for men( P < 0.01) and 52.039(4.144-653.436) for women( P < 0.01) after adjusting age, BMI, BF%, TC, LDL, CRP, smoking status and exercise status, and the odds ratios were 9.166(2.157-38.952) for men( P < 0.01) and 25.574(1.945-336.228) for women( P < 0.05) when WC was also added into the adjustment. It was determined that BMI values of 27.45 and 23.85 kg/m², BF% of 23.95% and 31.35% and FMI of 7.00 and 7.90 kg/m² were the optimal cutoff values to predict the presence of MetS among men and women according to the ROC curve analysis. Among the indicators used to predict MetS, FMI was the index that showed the greatest area under the ROC curve in both sexes. Conclusions: Higher FMI levels appear to be independently and positively associated with the presence of MetS regardless of BMI and BF%. FMI seems to be a better screening tool in prediction of the presence of metabolic syndrome than BMI and percentage of body fat in men and women.

Background: It has been suggested that hypertriglyceridemic waist (HW) phenotype is strongly associated with metabolic syndrome (MetS); however, there are very limited studies integrating triglyceride (TG) and waist circumference (WC) into a continuous variable to investigate the predictive power of this phenotype. Inspired from the triglyceride glucose index (TyG), we developed an integrated continuous index termed waist-triglyceride index (WTI) which was calculated as Ln [TG (mg/dl) WC (cm)/2]. Objective: We aimed to examine the potential of WTI in screening for MetS by comparing this quantitative index with the qualitative HW phenotype and other frequently used indices. Methods: A cross-sectional study was conducted in a total of 3460 non-diabetic adults who participated in an annual health checkup. MetS was defined by the update National Cholesterol Education Program/Adult Treatment Panel ш criteria for Asian Americans. Receiving operating characteristic (ROC) curve and areas under the curve (AUC) were employed to evaluate the performance of the involved indices in screening for MetS. Statistical differences among the AUC values of the indices were compared. Results: In both genders, the AUC value of WTI, TyG or HW phenotype was markedly larger than that of each anthropometric index alone. In men, there were no statistical differences in the AUC values among WTI, TyG and HW phenotype, whereas in women, the AUC value of WTI was significantly larger than that of HW phenotype [difference between area (DBA): 0.042, 95% CI: 0.0224– 0.0617, P < 0.0001] and was nominally and significantly smaller than that of TyG (DBA: 0.00646, 95% CI: 0.000903– 0.012, P = 0.0227). Conclusion: Our results suggest that there are discriminatory performance between the WTI and HW phenotype in the detection of MetS in women rather than in men. Appropriate markers for screening MetS in population study should be considered according to the genders.

Context: The beneficial effects of probiotic supplementation on bone health in postmenopausal women require further validation.Objective: This study systematically reviewed and conducted a meta-analysis of randomized controlled trials (RCTs) to assess the relationship between probiotic supplementation and changes in bone mineral density (BMD) and bone turnover markers (BTMs) among postmenopausal women.Methods: A systematic search was conducted across four databases to retrieve data on lumbar spine BMD, hip BMD, collagen type 1 cross-linked C-telopeptide (CTX), receptor activator of nuclear factor-κB ligand (RANKL), osteocalcin (OC), osteoprotegerin (OPG), N-terminal propeptide of type 1 procollagen (P1NP), and bone-specific alkaline phosphatase (BALP) in postmenopausal women. Eligible RCTs were quantitatively analyzed using random-effects meta-analyses. Additional analyses, including subgroup, sensitivity, and meta-regression analyses, were performed.Results: Twelve RCTs involving 1183 postmenopausal women were included. Compared with the control group, postmenopausal women who received probiotic supplementation showed significantly greater BMD in both the lumbar spine (standardized mean difference [SMD] = 0.60, 95% confidence interval [CI] 0.14 to 1.05) and the hip (SMD = 0.74, 95%CI 0.15 to 1.33). Additionally, probiotic supplementation was associated with reduced levels of CTX (SMD = -1.51, 95%CI -1.88 to -0.41) and BALP (SMD = -1.80, 95%CI -2.78 to -0.81). No significant differences were found between the probiotic and control groups in terms of other BTMs. Subgroup analyses revealed that the increase in BMD due to probiotic supplementation was more significant in postmenopausal women with osteopenia than in those with osteoporosis. The meta-analysis results for both lumbar spine and hip BMD remained robust after conducting sensitivity analyses and meta-regressions.Conclusion: Supplementation with probiotics may increase BMD among postmenopausal women, with stronger evidence in women with osteopenia than osteoporosis. Further RCTs are suggested to confirm and refine these findings.Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024576764.

Objectives: Body roundness index (BRI) and body adiposity index (BAI) have been recently proposed to assess obesity. The objectives of this cross-sectional study were to compare their potential for identifying metabolic syndrome (MetS) with traditional obesity indices in Chinese postmenopausal women. Methods: A total of 817 participants were involved in this study. Odds ratio and corresponding 95% confidence intervals (CI) between MetS and all indices were evaluated by binary logistic regression analysis. Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the abilities to identify MetS among all the indices. The differences in the AUC values between traditional indices and BAI as well as BRI were also evaluated. Results: The upper values of all indices were significantly associated with the presence of MetS after adjusting for potential confounders, except for BAI. There were no significant differences in the AUC values between BRI and the traditional indices; however, the AUC values of all the traditional indices were significantly larger than that of BAI. Conclusions: Neither BAI nor BRI was superior to traditional obesity indices for predicting MetS. BAI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of MetS.

Although lifestyle interventions are recommended as the frontline therapeutic strategy for women with gestational diabetes mellitus (GDM), the optimal dietary regimen or form of exercise has yet to be definitively established. We aimed to compare the effectiveness of lifestyle therapies for GDM. Four databases (PubMed, Web of Science, EMBASE, and Cochrane Library) were systematically searched by multiple researchers for randomized controlled trials (RCTs). RCTs comparing lifestyle therapies to treat GDM with control or another treatment were included. Data extraction and synthesis were performed, estimating mean differences (MDs) or relative risk (RR) through pair-wise and network meta-analysis with a randomized or fixed-effects model when appropriate. The primary outcomes were maternal glucose control, birth weight of newborns, macrosomia and preterm birth rate, and rate of need for insulin therapy. In total, 39 trials with information obtained from 2712 women assessed 15 treatments. After sensitivity analysis, we confirmed the dietary approaches to stop hypertension (DASH) diet [MD: -11.52; 95% credible intervals (CrIs): -14.01, -9.07, very low certainty of evidence (CoE)] and low glycemic index (GI) diets (MD: -6.3; 95% CrI: -9.9, -2.7, low CoE) have shown significant advantages in fasting plasma glucose and 2-h postprandial glucose control, respectively. Furthermore, the DASH diet and resistance exercise reduced insulin requirements independently by 71% (95% CrI: 52%, 84%) and 67% (95% CrI: 48%, 85%), respectively. Additionally, both the DASH (MD: -587.6; 95% CrI: -752.12, -421.85, low CoE) and low GI diets (MD: -180.09, 95% CrI: -267.48, -94.65, low CoE) reduced birth weight significantly, with the DASH diet also demonstrating effects in reducing macrosomia by 89% (95% CrI: 53%, 98%) and lowering the cesarean section rate by 46% (95% CI: 27%, 60%). However, exercise did not affect infant outcomes. Our findings suggest that the DASH diet and low GI diet and resistance exercise may be beneficial for maternal outcomes in pregnancies with GDM. The impact on infants is primarily observed through dietary interventions. Future research, characterized by higher quality and evidence grades, is necessary to complement and substantiate our findings. This study was registered with PROSPERO as CRD 42024527587.

Objective Serum uric acid levels have been reported to be associated with non-alcoholic fatty liver disease (NAFLD). However, very few studies specifically examining the relationship between serum uric acid (SUA) levels and NAFLD in postmenopausal women have been reported in China, especially in postmenopausal women with normal body mass index (BMI) in whom NAFLD is not uncommon. Methods A cross-sectional study was employed of 528 Chinese normal-BMI postmenopausal women (aged 41–79 years) who participated in annual health check-ups. NAFLD is defined as a hepatic steatosis observed on liver ultrasonography in the absence of a second cause. Of all the participants, 121 women were diagnosed with hepatic steatosis (NAFLD group) and the others were without (non-NAFLD group). SUA quartiles were defined as follows: Q1, < 3.8 mg/dl; Q2, 3.8–4.4 mg/dl; Q3, 4.5–5.0 mg/dl; Q4, 5.1–6.0 mg/dl. Stepwise multivariable regression analysis was used to assess the relationships between SUA level and other variables. The association between SUA quartiles and hepatic steatosis was assessed using binary logistic regression. Results Compared to the non-NAFLD group, the mean level of SUA was significantly higher in the NAFLD group (p < 0.01). The adjusted odds ratio (95% confidence interval) for the presence of hepatic steatosis in the highest SUA quartile vs. the lowest quartile was 2.774 (1.396–5.513) for all women (p < 0.01) after adjusting for the factors which were independently associated with uric acid level including waist circumference, high blood pressure, blood urea nitrogen, creatinine, γ-glutamyltransferase, and triglycerides. Most estimates changed little after further adjustment for age, metabolic syndrome, drinking status, and smoking status. The presence of hepatic steatosis significantly increased in the third and fourth quartiles of SUA. The prevalence of hepatic steatosis increased gradually with an increasing SUA quartile (p for trend < 0.01). Conclusion Higher SUA levels even within the normal range are positively and independently associated with the presence of hepatic steatosis in Chinese postmenopausal women with normal BMI.