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

With the increasing rate of overweight and obesity in children worldwide, adiposity rebound(AR)closely related to obesity has become the spotlight, and early AR phase has a broad impact on pubertal development in girls, but the specific mechanism of action isn't very clear.This paper is review of the prevalence of early AR at home and abroad, and its influencing factors, the impact of AR on the adolescent development of girls and related mechanisms, to identify high-risk individuals with early AR, early AR to identify early adolescent development, and take early intervention measures to promote children's health.
Female ; Adolescent ; Child ; Humans ; Adiposity ; Pediatric Obesity/epidemiology* ; Adolescent Development ; Body Mass Index ; Overweight/epidemiology*

Objective: To examine the independent and combined effects of pre-pregnancy BMI and gestational diabetes (GDM) on early adiposity rebound (AR) timing in children. Methods: Based on the "Ma'anshan Birth Cohort Study", 2 896 eligible maternal and infant pairs were recruited. In the cohort, we collected pre-pregnancy height, weight, 24 to 28 weeks GDM diagnosis, follow-up at 42 days, three months, six months, nine months of age, and every six months after one year of age, and continuously followed up to 6 years old, and obtained the child's length/height, weight, and other data. The intensity of the association between pre-pregnancy BMI, GDM, and early AR timing was analyzed by the multivariate logistic regression model. Multiplication and additive models were used to analyze how pre-pregnancy BMI and GDM influenced early AR timing in children. Results: The prevalence of underweight, average weight, overweight, and obesity before pregnancy were 23.2% (672), 66.4% (1 923), 8.7% (251), and 1.7% (50). The prevalence of GDM was 12.4%. We found that 39.3% of children had AR, and the average age at AR was (4.38±1.08). The results of multifactorial logistic regression analysis showed that pre-pregnancy overweight (OR=1.67,95%CI:1.27-2.19), pre-pregnancy obesity (OR=3.05,95%CI:1.66-5.56), and maternal GDM (OR=1.40,95%CI:1.11-1.76) were risk factors for early AR timing in children. In contrast, pre-pregnancy underweight (OR=0.60,95%CI:0.49-0.73) was a protective factor for early AR timing in children. Compared with the different effects of pre-pregnancy overweight/obesity and maternal GDM alone, the combined effect caused a higher risk of early AR timing in children, with OR values (95%CI) were 2.03 (1.20-3.44), 3.43 (1.06-11.12), respectively. The multiplication and additive models showed no interaction between pre-pregnancy BMI and GDM-influenced early AR timing in children. Conclusion: Higher pre-pregnancy BMI and maternal GDM are the independent risk factors for the early AR timing in children, and the co-occurrence of the two is higher risks, but there was no statistical interaction.
Child ; Infant ; Female ; Pregnancy ; Humans ; Adiposity ; Diabetes, Gestational/epidemiology* ; Overweight/epidemiology* ; Thinness ; Cohort Studies ; Body Mass Index ; Obesity

BACKGROUND: Little is known on how context-specific sedentary behaviors (SB) affect adiposity. This study aimed to investigate compositional associations between context-specific SB and adiposity and estimate the differences in adiposity associated with replacing school and out-of-school SB with physical activity (PA). METHODS: This study included 336 children and adolescents. Time spent in SB and PA was estimated using multi-day 24-hour raw accelerometer data. SB and PA were specified for school and out-of-school times. Fat mass percentage (FM%) and fat mass index (FMI) were used as adiposity indicators. A compositional isotemporal substitution model was used to estimate differences in adiposity associated with one-to-one reallocations of time from context-specific SB to PA. RESULTS: Participants spent approximately two thirds of their school and out-of-school time being sedentary. Relative to the remaining 24-h movement behaviors, significant associations between out-of-school SB and adiposity were found in both boys (β CONCLUSIONS A reduction of out-of-school SB in favor of light PA should be advocated as an appropriate target for interventions and strategies to prevent childhood obesity.
Accelerometry ; Adiposity ; Adolescent ; Child ; Czech Republic ; Exercise ; Female ; Humans ; Male ; Schools ; Sedentary Behavior

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*

BACKGROUND: Emerging evidence implicates excess weight as a potential risk factor for hearing loss. However, this association remained inconclusive. Therefore, we aimed to systematically and quantitatively review the published observational study on the association between body mass index (BMI) or waist circumference (WC) and hearing loss. METHODS: The odds ratios (ORs) or relative risks (RRs) with their 95% confidence intervals (CIs) were pooled under a random-effects model. Fourteen observational studies were eligible for the inclusion in the final analysis. RESULTS: In the meta-analysis of cross-sectional studies, the ORs for prevalent hearing loss were 1.10 (95% CI 0.88, 1.38) underweight, 1.14 (95% CI 0.99, 1.32) for overweight, OR 1.40 (95% CI 1.14, 1.72) for obesity, 1.14 (95% CI 1.04, 1.24) for each 5 kg/m increase in BMI, and 1.22 (95% CO 0.88. 1.68) for higher WC. In the meta-analysis of longitudinal studies, the RRs were 0.96 (95% CI 0.52, 1.79) for underweight, 1.15 (95% CI 1.04, 1.27) for overweight, 1.38 (95% CI 1.07, 1.79) for obesity, 1.15 (95% CI 1.01, 1.30) for each 5 kg/m increase in BMI, and 1.11 (95% CI 1.01, 1.22) for higher WC. CONCLUSIONS In summary, our findings add weight to the evidence that elevated BMI and higher WC may be positively associated with the risk of hearing loss.
Adiposity ; Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; Female ; Hearing Loss ; epidemiology ; etiology ; Humans ; Male ; Middle Aged ; Odds Ratio ; Prevalence ; Risk Factors ; Waist Circumference ; Young Adult

BACKGROUND: Obesity is a risk factor for metabolic abnormalities. We investigated the relationship of adiponectin levels and visceral adiposity with insulin resistance and β-cell dysfunction. METHODS: This cross-sectional study enrolled 1,347 participants (501 men and 846 women aged 30–64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Serum adiponectin levels and visceral fat were measured using enzyme-linked immunosorbent assay kits and dual-energy X-ray absorptiometry, respectively. Insulin resistance was evaluated using the homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index. β-cell dysfunction was evaluated using the homeostatic model assessment of β-cell function (HOMA-β), insulinogenic index, and disposition index. RESULTS: Regarding insulin resistance, compared with individuals with the highest adiponectin levels and visceral fat mass < 75th percentile, the fully adjusted odds ratios (ORs) for HOMA-IR ≥ 2.5 and Matsuda index < 25th percentile were 13.79 (95% confidence interval, 7.65–24.83) and 8.34 (4.66–14.93), respectively, for individuals with the lowest adiponectin levels and visceral fat ≥ 75th percentile. Regarding β-cell dysfunction, the corresponding ORs for HOMA-β< 25th percentile, insulinogenic index < 25th percentile, and disposition index < 25th percentile were 1.20 (0.71–2.02), 1.01 (0.61–1.66), and 1.87 (1.15–3.04), respectively. CONCLUSION: Low adiponectin levels and high visceral adiposity might affect insulin resistance and β-cell dysfunction.
Absorptiometry, Photon ; Adiponectin* ; Adiposity ; Cross-Sectional Studies ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Insulin Resistance* ; Insulin* ; Intra-Abdominal Fat* ; Male ; Metabolic Diseases ; Obesity ; Odds Ratio ; Risk Factors

Over the last decades, the onset of puberty in girls has occurred earlier, but the tempo of pubertal progression has been relatively slower, resulting in a younger age at puberty onset without a change in age at menarche. Sufficient energy availability and adiposity contribute to early pubertal development, and environmental factors, such as endocrine-disrupting chemicals (EDCs), may affect not only the control of energy balance, but also puberty and reproduction. EDCs are hormonally active substances that can perturb puberty by acting both peripherally on target organs, such as adipose tissue or adrenal glands, and/or centrally on the hypothalamic-pituitary-gonadal (HPG) axis. Depending on whether the exposure takes place earlier during fetal and neonatal life or later during early childhood, EDCs can lead to different outcomes through different mechanisms. Evidence of associations between exposures to EDCs and altered pubertal timing makes it reasonable to support their relationship. However, human epidemiologic data are limited or inconsistent and cannot provide sufficient evidence for a causal relationship between EDC exposure and changes in pubertal timing. Further investigation is warranted to determine the overall or different effects of EDCs exposure during prenatal or childhood windows on pubertal milestones and to reveal the underlying mechanisms, including epigenetic marks, whereby early-life exposure to EDCs affect the HPG-peripheral tissue axis.
Adipose Tissue ; Adiposity ; Adolescent ; Adrenal Glands ; Endocrine Disruptors ; Epigenomics ; Female ; Humans ; Menarche ; Puberty ; Reproduction

BACKGROUND: The prevalence of metabolic syndrome (MetS) is increasing, and obesity, insulin resistance, and inflammation are the known risk factors. However, results of previous studies regarding the relationship between MetS and inflammation have not been consistent. This study aimed to identify the associations between C-reactive protein (CRP) and MetS and its components in obese and non-obese men and women. METHODS: This was a cross-sectional study based on the 6th Korea National Health and Nutrition Examination Survey (2015), and a nationally representative sample of 3,013 Korean adults aged 40–78 years were included. Those with cardiovascular disease, cancer, CRP level >10 mg/L, white blood cell count >10,000/mm3, chronic kidney disease, and lung/liver disease were excluded. RESULTS: Approximately 11.0%, 50.0%, 8.4%, and 48.8% of non-obese men, obese men, non-obese women, and obese women presented with MetS (P<0.001), respectively. In all four groups, those who presented with MetS or its components showed a higher high-sensitivity (hs-CRP) average than those without. Multivariate regression analysis showed the increased risk of developing MetS with higher quartiles of hs-CRP level in obese (3rd and 4th quartiles: odds ratios [ORs], 3.87 and 2.57, respectively) and non-obese women (4th quartile: OR, 2.63). The different components also showed increased ORs in the four groups. However, no statistically significant trend in the relationship was found in men. CONCLUSION: Low-grade inflammation may increase the risk of MetS in Korean women independent of adiposity. However, due to the cross-sectional design of the present study, further studies must be conducted to identify the causal relationship between inflammation and metabolic disorders.
Adiposity ; Adult ; C-Reactive Protein ; Cardiovascular Diseases ; Cross-Sectional Studies ; Female ; Humans ; Inflammation ; Insulin Resistance ; Korea ; Leukocyte Count ; Male ; Nutrition Surveys ; Obesity ; Odds Ratio ; Prevalence ; Renal Insufficiency, Chronic ; Risk Factors