INTRODUCTION: Endometriosis (EMS) is a common gynaecological disorder linked to metabolic disturbances. However, evidence on the associations between lipid accumulation product (LAP) and visceral adiposity index (VAI) with the risk of EMS remains limited. This study aimed to explore the potential associations between LAP, VAI and EMS. METHOD: Data were obtained from the 1999-2006 National Health and Nutrition Examination Survey (NHANES), including a total of 2046 samples. Weighted multivariable logistic regression models and smoothed curve fitting were used to assess the associations between LAP, VAI and EMS. Additionally, subgroup analyses and interaction tests were conducted to evaluate intergroup differences in the associations between LAP, VAI and EMS. RESULTS: In the fully adjusted model, higher Log2 LAP (odds ratio [OR] 1.256, 95% confidence interval [CI] 1.102-1.431, P=0.0014) and Log2 VAI (OR 1.287, 95% CI 1.105-1.498, P=0.0022) were significantly associated with increased EMS risk. Participants in the highest quartile of Log2 LAP (OR 1.983, P=0.0029) and Log2 VAI (OR 1.690, P=0.0486) had a higher risk of EMS. Subgroup analysis showed stronger associations among women with diabetes (Log2 LAP OR 3.681, P=0.009; Log2 VAI OR 4.849, P=0.041). CONCLUSION Elevated LAP and VAI were independently associated with an increased risk of EMS. LAP and VAI may serve as potential indicators for assessing EMS-related risk, suggesting that visceral obesity and lipid metabolic disturbances might play roles in the pathophysiological process of EMS. These findings underscore the potential of LAP and VAI as non-invasive markers for EMS risk, warranting further validation in clinical settings.
Humans ; Female ; Cross-Sectional Studies ; Endometriosis/metabolism* ; Adult ; Nutrition Surveys ; Intra-Abdominal Fat ; Lipid Accumulation Product ; Middle Aged ; Obesity, Abdominal/complications* ; Adiposity ; Risk Factors ; Logistic Models

OBJECTIVES: To explore the association between Chinese visceral adiposity index (CVAI) and the risk of nephrolithiasis. METHODS: This cross-sectional study analyzed data from 78 438 Chinese adults who underwent ultrasound examinations during health screening at the Health Examination Center of Affiliated Hospital of Yangzhou University. Participants were divided into quartiles (Q1-Q4 groups) based on CVAI. Multivariate logistic regression models were utilized to evaluate the association between CVAI and nephrolithiasis risk, followed by subgroup analyses to further explore potential relationships. The performance of CVAI in predicting the risk of nephrolithiasis was evaluated using receiver operating characteristic (ROC) curves. RESULTS: Increased CVAI was significantly associated with a higher risk of nephrolithiasis, with prevalence rising from 3.36% in the Q1 group to 10.67% in the Q4 group (P<0.01). In adjusted models, CVAI was positively correlated with the prevalence rate of nephrolithiasis (OR=1.002, 95%CI: 1.001-1.004, P<0.01). The risks of nephrolithiasis in the Q2, Q3, and Q4 groups were 1.196-fold (95%CI: 1.069-1.338, P<0.01), 1.260-fold (95%CI: 1.109-1.433, P<0.01), and 1.316-fold (95%CI: 1.125-1.539, P<0.01) higher than in the Q1 group, respectively. Subgroup analysis revealed that CVAI was positively associated with the risk of nephrolithiasis in male participants, individuals aged <60 years, the hypertension group, populations with or without diabetes mellitus, and the normal body mass index subgroup. Genders and age had an interaction effect on the correlation between CVAI and the risk of nephrolithiasis development (both P<0.05). The ROC curve analysis demonstrated that CVAI exhibited superior predictive efficacy compared to waist circumference, body mass index, visceral adiposity index, weight-adjusted waist index, cardiometabolic index and body shape index, with an area under the curve of 0.622. CONCLUSIONS In Chinese adults, CVAI is positively associated with the risk of nephrolithiasis development, which may serve as a potential predictive marker for nephrolithiasis.
Humans ; Nephrolithiasis/etiology* ; Male ; Female ; Middle Aged ; Cross-Sectional Studies ; Adult ; Intra-Abdominal Fat ; Risk Factors ; China/epidemiology* ; Adiposity ; Aged ; Logistic Models ; Obesity, Abdominal/epidemiology* ; East Asian People

OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

Humans ; Intra-Abdominal Fat/diagnostic imaging* ; Coronary Artery Disease ; Body Mass Index

Objective: To explore abdominal fat mass distribution and contents among obese children via magnetic resonance imaging (MRI), and analyze the correlations of abdominal adipose tissue with anthropometric and metabolic parameters. Methods: Cross-sectional study. There were 60 obese children admitted to the Children's Health Care Department and Endocrinology Department at Children's Hospital of Nanjing Medical University from July 2016 to December 2018. Children's gender, age, height, weight, body composition, waist circumference and blood pressure were recorded. The levels of fasting blood glucose, lipids, insulin were measured, and liver ultrasound was performed, and the body mass index Z score (BMI-Z), waist-to-height ratio (WHtR) and homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. In addition, contents of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and total abdominal adipose tissue (TAAT) were calculated according to feedback of abdominal MRI scan images. The associations between the contents of abdominal adipose tissue, physical examination status and metabolic disorders among obese children were analyzed through correlation analysis and regression analysis. Receiver operating characteristic (ROC) curve was used to compare the accuracy of fat mass in different parts of the abdomen in predicting their metabolic disorders. Results: A total of 60 children were enrolled in the study, included 44 boys and 16 girls, with age of (9.2±1.4) years. The contents of SAT, VAT and TAAT among the 60 children were positively associated with BMI-Z (r=0.60, 0.46, 0.59), body fat percentage (r=0.64, 0.67, 0.68) and waist-to-height ratio (r=0.60, 0.57, 0.61) (all P<0.01). Meanwhile, contents of SAT and TAAT were also positively correlated with systolic blood pressure (r=0.47, 0.49), triglyceride (r=0.33, 0.35) and HOMA-IR (r=0.33, 0.28)(all P<0.05). In order to adjust the confounding effects among various variables, regression analysis was applied and the result showed that the body fat percentage (β=0.59, 0.66, 0.65) and waist-to-height ratio (β=0.53, 0.63, 0.59) were most related to abdominal fat contents (all P<0.01), including SAT, VAT and TAAT among obese children. According to ROC, SAT had outstanding evaluation performances for the diagnosis of insulin resistance and metabolic syndrome, while VAT had excellent evaluation performances for non-alcoholic fatty liver disease (area under curve=0.68, 0.69, 0.69, 95%CI 0.54-0.82, 0.55-0.84, 0.53-0.85, P=0.017, 0.014, 0.019). Conclusions: As one of the best indexes, body fat percentage and WHtR can be used to predict the contents of SAT, VAT and TAAT among obese children. With the increase of abdominal SAT or VAT, the risks for insulin resistance, metabolic syndrome and non-alcoholic fatty liver disease would increase. Assessment of abdominal fat and metabolic risks in obese children should combine BMI-Z with waist circumference and body composition analysis.
Abdominal Fat/metabolism* ; Body Mass Index ; Child ; Cross-Sectional Studies ; Female ; Humans ; Insulin Resistance ; Magnetic Resonance Imaging ; Male ; Metabolic Diseases/metabolism* ; Metabolic Syndrome/metabolism* ; Non-alcoholic Fatty Liver Disease ; Pediatric Obesity/metabolism*

BACKGROUND: Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men. METHODS: We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat. RESULTS: Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes ("user group"; N = 347) were significantly larger than those who did not use such medication ("non-user group"; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199). CONCLUSION The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.
Absorptiometry, Photon ; Adiposity/physiology* ; Aged ; Aged, 80 and over ; Biomarkers/metabolism* ; Cardiometabolic Risk Factors ; Cross-Sectional Studies ; Humans ; Intra-Abdominal Fat/diagnostic imaging* ; Japan ; Male ; Osteoporosis/etiology* ; Prospective Studies ; Risk Assessment ; Risk Factors ; Thorax/diagnostic imaging*

Objective To study the correlation between the abdominal wall subcutaneous fat thickness and heart weight, so as to provide reference for prediction methods of normal range of heart weight that is suitable for autopsy in China. Methods The forensic pathology autopsy cases accepted by Center for Medicolegal Expertise of Sun Yat-sen University from 1998 to 2017 were collected. Then the exclusion criteria were determined, and according to them the total case group was selected, and the 6 disease groups and the normal group were further selected from the total case group. The rank sum test was used to compare the heart weight of the normal group and the disease groups to determine the influence of diseases on heart weight. Then the Spearman rank correlation analysis of abdominal wall subcutaneous fat thickness and heart weight in different genders and different ages in the total case group and the normal group was conducted to get the correlation coefficient （r_s）. Results In the total case group, correlation between abdominal wall subcutaneous fat thickness and heart weight was shown in males of all ages （P<0.05）; while in females, the correlation had no statistical significance （P>0.05） in 15-<20 age and 50-<60 age, but was statistically significant （P<0.05） in other age groups. For the males in the normal group, r_s was respectively 0.411, 0.541 and 0.683 in the 15-<40 age, the 40-<60 age, and the ≥60 age. For the females, r_s was respectively 0.249 and 0.317 in the 15-<40 age and the 40-<60 age. The correlation in the ≥60 age had no statistical significance（P>0.05）. Conclusion In the general population and the normal population, abdominal wall subcutaneous fat thickness is correlated with the heart weight of males. It is of significance to include the abdominal wall subcutaneous fat thickness in the prediction of normal range of heart weight for males in China.
Abdominal Wall/diagnostic imaging* ; China ; Female ; Heart/diagnostic imaging* ; Humans ; Male ; Middle Aged ; Reference Values ; Subcutaneous Fat/diagnostic imaging*

OBJECTIVE: To study the effects of high-fat (HF) diet and exercise on the expressions of asprosin and CTRP6 in adipose tissues in different regions of rats during mid-gestation. METHODS: Pregnant SD rats were fed on a standard chow diet or a high-fat (60% fat content) diet for 14 days starting on gestation day (GD) 1. Starting from GD3, the rats fed either on normal or high-fat diet in the exercise groups (CH-RW and HF-RW groups) were allowed access to the running wheels for voluntary running, and those in sedentary groups (CH-SD and HF-SD groups) remained sedentary. At the end of the 14 days, adipose tissues were sampled from different regions of the rats for detecting the mRNA and protein expressions of asprosin and CTRP6 using RT-qPCR and Western blotting. RESULTS: The mRNA expression of asprosin in retroperitoneal adipose tissues was significantly higher in HF-RW group than in the other 3 groups ( CONCLUSIONS High-fat diet and exercise during mid-gedtation can affect the expression levels of asprosin and CTRP6 in adipose tissues of rats in a site-specific manner.
Adipokines ; Animals ; Blood Glucose ; Diet, High-Fat/adverse effects* ; Female ; Intra-Abdominal Fat ; Pregnancy ; Rats ; Rats, Sprague-Dawley

Intra/inter-group associations between these parameters and testosterone replacement therapy (TRT) were assessed at 1) end of the RCT (30 weeks), 2) open-label phase (82 weeks), and 3) final assessment via non-parametric statistics.RESULTS: Improvement in HbA1c and weight at the end of the RCT and open-label phase in men on TRT was not maintained long-term. The convergence in HbA1c could have been due to incentivised care with HbA1c targets. Interestingly those on TRT at final assessment required fewer anti-diabetic agents. The weight increase in routine care may have been due to changes in diabetes medication or an increase in lean muscle mass. WC continued to decrease in men on TRT indicating possible reduction in visceral fat. Improvement in EF scores continued with long-term TRT, this was abolished when TRT was discontinued.CONCLUSIONS: This study hints at benefits in glycaemic control, weight and WC, and long-term RCTs studying mechanisms of benefit and clinical outcomes are necessary. Our results also show that EF scores continued to improve with long-term TRT, even beyond the 6 months that we previously reported in the BLAST RCT.]]>
Diabetes Mellitus, Type 2 ; Erectile Dysfunction ; Follow-Up Studies ; Humans ; Hypogonadism ; Intra-Abdominal Fat ; Male ; Testosterone ; Waist Circumference

abdominal muscle and fat areas on computed tomography (CT) images.MATERIALS AND METHODS: A fully convolutional network-based segmentation system was developed using a training dataset of 883 CT scans from 467 subjects. Axial CT images obtained at the inferior endplate level of the 3rd lumbar vertebra were used for the analysis. Manually drawn segmentation maps of the skeletal muscle, visceral fat, and subcutaneous fat were created to serve as ground truth data. The performance of the fully convolutional network-based segmentation system was evaluated using the Dice similarity coefficient and cross-sectional area error, for both a separate internal validation dataset (426 CT scans from 308 subjects) and an external validation dataset (171 CT scans from 171 subjects from two outside hospitals).RESULTS: The mean Dice similarity coefficients for muscle, subcutaneous fat, and visceral fat were high for both the internal (0.96, 0.97, and 0.97, respectively) and external (0.97, 0.97, and 0.97, respectively) validation datasets, while the mean cross-sectional area errors for muscle, subcutaneous fat, and visceral fat were low for both internal (2.1%, 3.8%, and 1.8%, respectively) and external (2.7%, 4.6%, and 2.3%, respectively) validation datasets.CONCLUSION: The fully convolutional network-based segmentation system exhibited high performance and accuracy in the automatic segmentation of abdominal muscle and fat on CT images.]]>
Abdominal Muscles ; Adipose Tissue ; Artificial Intelligence ; Dataset ; Intra-Abdominal Fat ; Learning ; Muscle, Skeletal ; Muscles ; Sarcopenia ; Spine ; Subcutaneous Fat ; Tomography, X-Ray Computed