This study aimed to evaluate the superiority of anthropometric indices compared to others for predicting ischemic heart disease (IHD) or cardiometabolic risk factors. This study was a cross-sectional analysis of the Pars Cohort Study data. In total, 9229 Valashahr inhabitants aged 40-75 were included in the analysis. The area under the receiver operating characteristic curve (AUC) analyses was used to compare the predictive accuracy of four anthropometric measures, including body mass index, waist to height ratio (WHtR), waist to hip ratio (WHR), and waist circumference (WC). IHD prevalence was 10.4% in our sample. The prevalence of diabetes mellitus (DM), hypertension, dyslipidemia, and metabolic syndrome was 12.7%, 29.2%, 58.4%, and 22.3%, respectively. All anthropometric indices had poor to good accuracy in predicting IHD risk factors, with AUCs ranging between 0.580 and 0.818. WHR was the most accurate measure for predicting IHD in both genders. All indexes had a better accuracy for predicting DM, dyslipidemia, and metabolic syndrome (MetS) in males than in females. To conclude, anthropometric measures, especially WC and WHtR, are recommended for predicting metabolic syndrome in primary prevention settings. These simple indices could help physicians find those who need further evaluation for MetS.

To study the laser acupuncture (LA) effects on postmenopausal obese women\'s metabolic syndrome. Randomized controlled trial. Benha university hospital. Thirty postmenopausal women were randomized into two equal groups. Group A received a diet regimen and Group B received LA treatment for 30 min three times a week for two months beside the diet regimen. Included weight (W), body mass index (BMI), waist (WC), hip (HC), waist-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum level of total cholesterol (TC), triglycerides (TG), high density lipoprotein (HDL), low density lipoprotein (LDL), fasting blood glucose (FBG), fasting blood insulin (FBI), homeostatic model assessment-insulin resistance (HOMA-IR) before and after the end of treatment. The study\'s findings showed that both groups experienced a highly statistically significant decrease in the post-testing mean value of W, BMI, WC, HC, WHR, SBP, DBP, TC, TG, LDL, FBG, FBI, and HOMA-IR, while both groups experienced a significant increase in the post-treatment mean value of HDL (p 0.0001). The posttreatment SBP, DBP, TC, TG, LDL, FBS, FBI and insulin resistance were significantly lower while HDL was significantly higher in women who received combined LA and diet regimen compared to those who received dietary regimen only. LA beside the nutritional intervention is a physical therapy technique that may be used safely, easily, and effectively to minimize metabolic syndrome features during menopause.

UNASSIGNED: The causal relationship between type 2 diabetes mellitus (T2DM) and osteoporosis (OS) remains unclear. This study aims to investigate the causal relationship and explore the potential metabolic mechanism and its mediating role.
UNASSIGNED: We conducted a comprehensive study, gathering data on 490,089 T2DM patients from the genome-wide association study (GWAS) database and selecting OS data from FinnGen and MRC-IEU sources, including 212,778 and 463,010 patients, respectively, for causal analysis. Simultaneously, we explored the potential roles of three obesity traits and 30 metabolic and inflammation-related mediating variables in the causal relationship.
UNASSIGNED: There is a strong causal relationship between T2DM and OS. The data from our two different database sources appeared in the same direction, but after correcting for body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR), the direction became the same. T2DM may increase the risk of OS [odds ratio (OR) > 1.5, p < 0.001]. Steiger\'s test results show that there is no reverse causality. No risk factors related to glycolipid metabolism, amino acid metabolism, and inflammation were found to mediate the causal relationship.
UNASSIGNED: This study\'s findings indicate a robust causal relationship between T2DM and OS, influenced by relevant factors such as BMI. Our results shed light on the pathogenesis of OS and underscore the importance for clinicians to treat metabolic disorders to prevent osteoporosis.

UNASSIGNED: Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT).
UNASSIGNED: The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm2) was compared with WC, body mass index (BMI), waist-hip ratio (WHR), visceral adiposity index (VAI), a body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), and metabolic score for visceral fat (METS-VF) in the study group. Additionally, the new model\'s accuracy in identifying metabolic syndrome was evaluated in our Metabolic Healthiness Discovery Cohort (n=430).
UNASSIGNED: The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It\'s demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001).
UNASSIGNED: The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.

UNASSIGNED: Polycystic ovary syndrome (PCOS) is an endocrine metabolic disorder in reproductive-aged women. The study was designed to investigate the metabolic characteristics of different phenotypes in women with PCOS of reproductive age.
UNASSIGNED: A total of 442 women with PCOS were recruited in this cross-sectional study. According to different phenotypes, all women were divided into three groups: the chronic ovulatory dysfunction and hyperandrogenism group (OD-HA group, n = 138), the chronic ovulatory dysfunction and polycystic ovarian morphology group (OD-PCOM group, n = 161), and the hyperandrogenism and polycystic ovarian morphology group (HA-PCOM group, n = 143). The metabolic risk factors and prevalence rates of metabolic disorders among the three groups were compared.
UNASSIGNED: The body mass index (BMI), waist circumference, and waist-to-hip ratio (WHR) of women from the OD-HA group and HA-PCOM group were significantly higher than those of women from the OD-PCOM group (p < 0.05). The serum insulin concentration and homeostasis model assessment of insulin resistance (HOMA IR) at 2 h and 3 h after oral glucose powder in women from the OD-HA group and HA-PCOM group were significantly higher than those from the OD-PCOM group (p < 0.05). The serum total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) in women from the OD-HA group and HA-PCOM group were significantly higher than those in women from the OD-PCOM group (p < 0.05). The prevalence rates of impaired glucose tolerance (IGT), type 2 diabetes mellitus (T2DM), insulin resistance (IR), metabolic syndrome (MS), nonalcoholic fatty liver disease (NAFLD), and dyslipidemia of women with PCOS were 17.9%, 3.6%, 58.4%, 29.4%, 46.6%, and 43.4%, respectively. The prevalence rates of IGT, IR, MS, NAFLD, and dyslipidemia of women in the OD-HA group and HA-PCOM group were significantly higher than those of women in the OD-PCOM group (p < 0.05). T concentration (>1.67 nmol/L) and Ferriman-Gallwey (F-G) score (>3) significantly increased the risk of metabolic disorders in women with PCOS (p < 0.05).
UNASSIGNED: The phenotypes of OD-HA and HA-PCOM in women with PCOS were vulnerable to metabolic disorders compared to OD-PCOM. Thus, the metabolic disorders in women with PCOS especially those with the HA phenotype should be paid more attention in order to reduce long-term complications.

BACKGROUND: The purpose of this study was to investigate the relationships between generalized, abdominal, and visceral fat obesity and the prevalence of gout in patients with type 2 diabetes mellitus (T2DM).
METHODS: Data were obtained from the electronic medical databases of the National Metabolic Management Center (MMC) of Yuhuan Second People\'s Hospital and Taizhou Central Hospital (Taizhou University Hospital) between September 2017 and June 2023. Four obesity indicators were analyzed: waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), and visceral fat area (VFA). The relationships between these parameters and gout prevalence were analyzed using multivariate logistic regression and restricted cubic spline (RCS) analyses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of the four parameters for gout.
RESULTS: This cross-sectional study enrolled 10,535 participants (600 cases and 9,935 controls). Obesity was more common in patients with gout, and the obesity indicators were markedly higher in this group. After adjustment for confounders, obesity, as defined by BMI, WC, WHR, and VFA, was found to be associated with greater gout prevalence, with odds ratios (OR) of 1.775, 1.691, 1.858, and 1.578, respectively (P < 0.001). The gout odds ratios increased markedly in relation to the obesity indicator quartiles (P-value for trend < 0.001), and the obesity indicators were positively correlated with gout prevalence, as shown using RCS. The area under the ROC curve values for BMI, WC, WHR, and VFA were 0.629, 0.651, 0.634, and 0.633, respectively.
CONCLUSIONS: Obesity-whether general, abdominal, or visceral fat obesity-was positively linked with elevated gout risk. But uncovering the causality behind the relationship requires further prospective study. Obesity indicators (BMI, WC, WHR, and VFA) may have potential value for diagnosing gout in clinical practice.

OBJECTIVE: To investigate how antiretroviral therapy (ART) regimens and body mass index (BMI) interact to affect triglyceride (TG) levels in people living with HIV (PLWH).
METHODS: This research involved 451 men living with HIV for cross-sectional analysis, and 132 underwent follow-up assessments in 2021 and 2023. Multivariate logistic regression identified key factors, while covariance regression models assessed interactions between ART regimens and BMI on TG levels.
RESULTS: The result of this cross-sectional study indicated that advanced AIDS (acquired immune deficiency syndrome) stage (OR = 2.756, P = 0.003), higher BMI (OR = 1.131, P = 0.003), and waist-hip ratio (WHR, OR = 44.684, P = 0.019) are closely associated with high triglyceride levels. Additionally, regimens containing zidovudine (AZT) (OR = 3.927, P < 0.001) or protease inhibitors/integrase strand transfer inhibitors (PI/INSTI) (OR = 5.167, P < 0.001) were significantly linked to hypertriglyceridemia. Cross-sectional and longitudinal analyses from 2021 to 2023 emphasized that changes in BMI interact with antiretroviral treatment regimens to affect TG levels in PLWH (Pinteraction < 0.05). Especially in the AZT-based drug regimen, the correlation between BMI and TG is more prominent.
CONCLUSIONS: The interaction between ART regimens and BMI influences TG levels in PLWH, indicating that weight management is crucial for reducing the risk of hypertriglyceridemia in this population.

Glypican-4 belongs to a group of poorly understood adipokines, with potential importance in people with metabolic syndrome, especially in groups of patients with glucose metabolism disorder. This study aimed to assess the effect of physical activity on serum glypican-4 and irisin levels and total antioxidant status (TAS) in plasma and saliva in women with metabolic syndrome (MetS). Seventy-two Caucasian women aged 25-60 were included in the study (36 women with MetS and 36 women without MetS (control group, CONTR)). The glypican-4 and irisin concentrations, total antioxidant status, glycemia, lipid profile, anthropometric parameters, and blood pressure were analyzed before and after 28 days of controlled physical activity. Serum glypican-4 and plasma TAS levels were higher (p = 0.006 and p = 0.043, respectively) on the 28th day than on the first day of the study only in the CONTR group. In the MetS group, 28 days of physical activity caused a reduction in body fat mass (p = 0.049) without changes in glypican-4, irisin, or TAS levels. In both groups, glypican-4 levels correlated positively with irisin levels and negatively with Waist-Hip Ratio (WHR), while irisin levels correlated positively with High-Density Lipoprotein Cholesterol (HDL-C) levels and negatively with waist circumference (WC) and WHR values on the 28th day of the study. To summarize, a 28-day moderate training, accompanied by a reduction in body fat mass, stabilized glypican-4 levels and TAS in female patients with MetS.

OBJECTIVE: The aim of this study was to explore the effects of vitamin D supplementation on metabolic parameters in women with polycystic ovary syndrome (PCOS).
METHODS: A total of 60 PCOS women with vitamin D deficiency or insufficiency were enrolled in this randomized controlled trial. Participants were randomized to vitamin D group (2000 IU/day) or control group. The observational parameters were measured at baseline and after treatment, including body mass index (BMI), waist to hip ratio (WHR), oral glucose tolerance test (OGTT) and insulin release test, and lipid metabolism parameters.
RESULTS: The serum 25(OH)D concentrations at different time points after vitamin D supplementation were significantly higher than that in control group (P < 0.05). The BMI, WHR, insulin concentrations, homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) concentrations in women of Vitamin D group after 12 weeks of treatment were significantly lower than that in women of control group (P < 0.05). The serum insulin concentrations and HOMA-IR at different time points of OGTT, serum TG, TC and LDL-C concentrations in women of vitamin D group (obesity) were significantly lower compared with control group (obesity) (P < 0.05). The BMI, WHR, TG, TC and LDL-C concentration in women of vitamin D group (IR) were significantly lower compared with control group (IR) (P < 0.05). No significant difference was observed in metabolic parameters between vitamin D group (non-obesity) and control group (non-obesity) (P > 0.05), and these differences of metabolic parameters were also not observed between vitamin D group (non-IR) and control group (non-IR) (P > 0.05).
CONCLUSIONS: Vitamin D supplementation had beneficial effects on metabolic parameters in PCOS women, especially in women with obesity or insulin resistance.

BACKGROUND: Waist circumference (WC), or waist-to-hip ratio (WHR), potentially offers a more accurate reflection of intra-abdominal fat accumulation and could serve as a superior predictor of type 2 diabetes mellitus (T2DM) risk compared to BMI. The current study investigated the relationship between WHR and its influencing factors among diabetes patients enrolled in the Prospective Epidemiological Research Studies in Iran (PERSIAN) Guilan Cohort study (PGCS).
METHODS: In this cross-sectional study of 10,520 participants, 2,531 had T2DM. Waist and hip circumference, body mass index (BMI), underlying diseases, and demographical data of participants were recorded. Also, fasting blood sugar (FBS), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides (TG) were assessed. All data was analyzed using SPSS version 16; the significant level was < 0.05.
RESULTS: The mean age of participants was 51.52 ± 8.90 years, and 39.9% had a BMI between 25 and 30 kg/m2. The prevalence of diabetes was 24.1% (n = 2531). About 7628 (72.5%) individuals had abnormal WHR, and 2072 (19.7%) were diabetics. Among patients with diabetes, abnormal WHR was significantly associated with age over 50, female gender, higher BMI, and lower LDL (P < 0.05).
CONCLUSIONS: The study showed a higher prevalence of abnormal WHR in diabetic patients. Abnormal WHR in patients with diabetes was significantly associated with age, gender, and BMI.