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

OBJECTIVE: To investigate the relationship between the weight-adjusted waist index (WWI) and acute, subacute pain or chronic pain among American adults. METHODS: There was a cross-sectional study. Data from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) concerning waist circumference, weight, pain status and covariates (age, gender, race, marital status, education level and income, physical activity, alcohol consumption, smoking status, and diabetes) were extracted for analysis. Multinomial Logistic regression was conducted across the three models to investigate the associations between WWI and acute, subacute and chronic pain. Model 1 did not involve any adjustments. Model 2 involved adjustments for age, gender, race, marital status, education level, and income. Model 3 was further adjusted for physical activity, alcohol consumption, smoking, and diabetes status. RESULTS: This study involved 12 694 participants with an average age of (50.6±18.7) years. Among all the participants, 9 614 people (75.74%) had no pain, 870 people (6.85%) experienced acute pain, 354 people (2.79%) suffered from subacute pain, and 1 856 people (14.62%) experienced chronic pain. The WWI of all the participants was (10.95±0.85) cm/$\sqrt{\mathrm{kg}}$, divided into four groups based on quartiles: Group Q1 (7.90-10.36) cm/$\sqrt{\mathrm{kg}}$, group Q2 (10.37-10.94) cm/$\sqrt{\mathrm{kg}}$, group Q3 (10.95-11.53) cm/$\sqrt{\mathrm{kg}}$ and group Q4 (11.54-15.20) cm/$\sqrt{\mathrm{kg}}$. With the increase of WWI, the analysis revealed a significant statistical difference in the participants' acute and chronic pain status (all P < 0.001). In Model 1, the prevalence of acute pain was lower in group Q2 and group Q4 compared with group Q1 (group Q2: OR=0.765, 95%CI: 0.615-0.953, P=0.017; group Q4: OR= 0.648, 95%CI: 0.503-0.835, P < 0.001). Compared with group Q1, the prevalence of chronic pain increased in group Q2, group Q3, and group Q4 (group Q2: OR =1.365, 95%CI: 1.149-1.622, P < 0.001; group Q3: OR=1.291, 95%CI: 1.082-1.541, P=0.005; group Q4: OR=1.874, 95%CI: 1.579-2.224, P < 0.001). In Model 2, compared with group Q1, an increase in chronic pain prevalence was still associated with an increase in WWI in other three groups (group Q2: OR=1.359, 95%CI: 1.137-1.624, P=0.001; group Q3: OR=1.260, 95%CI: 1.039-1.528, P=0.019; group Q4: OR=1.735, 95%CI: 1.413-2.132, P < 0.001). In Model 3, group Q4 had a 49.2% increased prevalence of chronic pain compared to group Q1 (OR = 1.492, 95%CI: 1.208-1.842, P < 0.001). However, in Models 2 and 3, no significant relationship was observed between acute pain and WWI (all P>0.05). And none of the three models identified a significant association between subacute pain and WWI (all P>0.05). CONCLUSION For American adults, there was no significant correlation between WWI and acute pain or subacute pain. However, as WWI increases, so does the prevalence of chronic pain. Further validation of this conclusion through large-scale prospective studies is warranted.
Humans ; Cross-Sectional Studies ; Middle Aged ; Male ; Female ; Adult ; Waist Circumference ; Chronic Pain/epidemiology* ; Aged ; Nutrition Surveys ; Pain/epidemiology* ; Body Weight ; Logistic Models ; Body Mass Index

Background: Hyperinsulinemia due to insulin resistance is hypothesized to act as a promotor of cancer growth. In addition to the direct effects of hyperinsulinemia on cancer cells, the stimulation of tumor cell growth can also be indirectly mediated through growth factors and receptors such as insulin-like growth factor 1 (IGF-1). Increased cancer risk is also associated with increased adipose tissue, such as in abdominal obesity, due to the higher risk of insulin resistance and hyperinsulinemia. Waist circumference is a parameter that indicates an individual's level of adiposity. In addition, the risk of cancer also increases in the elderly as they age. This study aims to assess the correlation between waist circumference and IGF-1 levels in the elderly population in Bali, Indonesia. Methodology: This study used a cross-sectional analytical design conducted in the Melinggih Village, Gianyar Regency. The study was conducted in September 2023. This study has been approved by the Research Ethics Commission number 2020/UN14.2.2.VII.14/LT/2023. The study population included elderly individuals residing in the Melinggih Village who were willing to participate. Data analysis encompassed descriptive analysis and the Spearman correlation test. Result: A total of 88 subjects participated in the study, consisting of 57 females (64.8%) and 31 males (35.2%). A statistically significant but weak correlation coexists between waist circumference and IGF-1 levels. Conclusion A weak but statistically significant positive correlation was found between waist circumference and IGF-1 levels in the elderly. However, because of the small sample size, another study with a bigger sample size with enough power to investigate this association needs to be done to validate the results of the current study.
Elderly ; Aged ; IGF-1 ; Insulin-Like Growth Factor I ; Waist Circumference

This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.
Middle Aged ; Male ; Humans ; Aged ; Prostatic Hyperplasia ; Obesity/epidemiology* ; Body Mass Index ; China/epidemiology* ; Waist-Height Ratio ; ROC Curve ; Waist Circumference ; Risk Factors

Objective: This study aimed to investigate the epidemiological characteristics of cardio-metabolic risk factors among children and adolescents aged 7-17 years in (Hebei, Zhejiang, Shaanxi, Hunan) 4 provinces of China and the influence of demographic and economic characteristics on them. Methods: A total of 1 747 children and adolescents aged 7-17 from a Community-based Cohort Study on Nervous System Disease in 2018 were selected. High waist circumference, central obesity, elevated TG, elevated TC, elevated LDL-C, decreased HDL-C, elevated blood pressure, elevated blood glucose, and clustering of risk factors was analyzed. χ² test was used for univariate analysis, multivariate logistic regression was used to analyze the correlation between demographic and economic factors and risk factors, and the Cochran-Armitage trend test was used for trend analysis. Results: The detection rates of high waist circumference, decreased HDL-C, elevated blood pressure, elevated TG, elevated blood glucose, central obesity, elevated TC, and elevated LDL-C were 29.08%, 15.28%, 13.17%, 13.05%, 11.79%, 7.33%, 6.53%, and 5.15%, respectively. The rate of clustering of risk factors was 18.37%. Multivariate logistic regression analysis showed that the risk of high waist circumference in girls was higher than that in boys (OR=1.67, 95%CI: 1.26-2.22), and the risk of elevated blood glucose and clustering of risk factors was lower than that in boys (OR=0.69, 95%CI: 0.49-0.99; OR=0.72, 95%CI: 0.53-0.99). The risk of high waist circumference, decreased HDL-C, and clustering of risk factors in 13-17 years old group was higher than that in the 7-year-olds group (OR=2.24, 95%CI: 1.65-3.04; OR=1.59, 95%CI: 1.20-2.11; OR=1.75, 95%CI: 1.26-2.44), but the risk of central obesity was lower (OR=0.54, 95%CI: 0.37-0.78). The risk of elevated TC, elevated TG, and decreased HDL-C in children and adolescents in southern was higher than that in northern parts of China (OR=1.88, 95%CI: 1.25-2.83; OR=1.61, 95%CI: 1.17-2.22; OR=1.55, 95%CI: 1.19-2.04), but the risk of high waist circumference and central obesity was lower than that in northern China (OR=0.57, 95%CI: 0.43-0.75; OR=0.62, 95%CI: 0.42-0.90). The risk of decreased HDL-C in rural children and adolescents was higher than in urban children and adolescents (OR=1.36, 95%CI: 1.02-1.83). The risk of multiple risk factors increased with the increase in average monthly household income per capita and BMI level. Conclusions: High waist circumference, decreased HDL-C and elevated blood pressure were prominent cardio-metabolic risk factors among children and adolescents aged 7-17 years in 4 provinces of China in 2018. The region, average monthly household income per capita, and BMI were the main influencing factors of cardio-metabolic risk factors.
Male ; Female ; Humans ; Child ; Adolescent ; Obesity, Abdominal/epidemiology* ; Cholesterol, LDL ; Blood Glucose ; Cohort Studies ; Body Mass Index ; Risk Factors ; Obesity ; Hypertension ; China/epidemiology* ; Waist Circumference

OBJECTIVE: To explore the association between rs2587552 polymorphism (has a strong lin-kage disequilibrium with rs1800497 which had been found in many studies to be related to obesity, r²=0.85) of DRD2 gene and the effect of a childhood obesity intervention in Chinese population, and provide a scientific basis for future personalized childhood obesity intervention based on genetic background. METHODS: From a multi-center cluster randomized controlled trial studying the effect of a childhood obesity intervention, we enrolled 382 children from 8 primary schools (192 and 190 children from intervention and control groups, respectively) in Beijing as study subjects. Saliva was collected and DNA was extracted to detect the rs2587552 polymorphism of DRD2 gene, and the interactions between the gene and study arms on childhood obesity indicators [including body weight, body mass index (BMI), BMI Z-score, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, and body fat percentage] were analyzed. RESULTS: No association was found between rs2587552 polymorphism and the changes in hip circumference or body fat percentage in the intervention group (P>0.05). However, in the control group, children carrying the A allele at DRD2 rs2587552 locus showed a greater increase in hip circumference and body fat percentage compared with those not carrying A allele (P < 0.001). There were interactions between rs2587552 polymorphism of DRD2 gene and study arms on the changes in hip circumference and body fat percentage (P=0.007 and 0.015, respectively). Compared with the control group, children in the intervention group carrying the A allele at DRD2 rs2587552 locus showed decrease in hip circumference by (-1.30 cm, 95%CI: -2.25 to -0.35, P=0.007) and decrease in body fat percentage by (-1.34%, 95%CI: -2.42 to -0.27, P=0.015) compared with those not carrying A allele. The results were consistent between the dominant model and the additive model (hip circumfe-rence: -0.66 cm, 95%CI: -1.28 to -0.03, P=0.041; body fat percentage: -0.69%, 95%CI: -1.40 to 0.02, P=0.056). No interaction was found between rs2587552 polymorphism and study arms on the changes in other childhood obesity-related indicators (P>0.05). CONCLUSION Children carrying the A allele at rs2587552 polymorphism of DRD2 gene are more sensitive to intervention and showed more improvement in hip circumference and body fat percentage after the intervention, suggesting that future personalized childhood obesity lifestyle intervention can be carried out based on the rs2587552 polymorphism of DRD2 gene.
Humans ; Child ; Pediatric Obesity/therapy* ; Prospective Studies ; Polymorphism, Genetic ; Body Mass Index ; Waist Circumference ; Receptors, Dopamine D2/genetics*

Objective: To analyze the relationship and consistency between indexes of different abnormal weight and dyslipidemia in adults in Beijing City. Methods: From August to December of 2017, 4 975 residents aged 18 to 79 years old in 5 districts of Beijing were randomly selected as subjects by using a multi-stage stratified cluster sampling method. Questionnaire, physical examination and laboratory tests were conducted. The prevalence of overweight/obesity, high body fat rate, central obesity, and high waist-to-height ratio was calculated. Partial correlation was used to analyze the correlation of blood lipid with body mass index (BMI), body fat rate, waist circumference and waist-height ratio. Logistic regression analysis for complex sampling was used to analyze the relationship between indexes of different abnormal weight and dyslipidemia after controlling for relevant risk factors, including age, sex, smoking status, drinking, insufficiency intake of vegetable and fruit, physical inactivity. Kappa value was computed to analyze the consistency between indexes of different abnormal weight. Results: The weighted prevalence of dyslipidemia was 30.48%, and it was higher in men than that in women (40.16% vs. 20.52%, P<0.01). The weighted rate of overweight/obesity, high body fat rate, central obesity, and high waist-to-height ratio was 56.65%, 47.52%, 42.48% and 59.45%, respectively. BMI, body fat rate, waist circumference and waist-to-height ratio were positively correlated with the level of total cholesterol, triglyceride, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol, and negatively correlated with high-density lipoprotein cholesterol. Logistic regression analysis for complex sampling showed that the high body fat rate (OR=1.67, 95%CI: 1.35-2.07), overweight/obesity (OR=1.65, 95%CI: 1.26-2.14) and high waist-to-height ratio (OR=1.46, 95%CI: 1.09-1.96) were associated with dyslipidemias. Kappa values of high body fat rate with overweight/obesity, high waist-to-height ratio and central obesity were 0.65, 0.53 and 0.58, respectively (P<0.05). Conclusion: In 2017, the prevalence of dyslipidemia in adults in Beijing City is high, especially in men. Overweight/obesity, high body fat rate and high waist-to-height ratio are associated with dyslipidemia. The high body fat rate is most associated with dyslipidemia.
Male ; Adult ; Humans ; Female ; Adolescent ; Young Adult ; Middle Aged ; Aged ; Overweight/complications* ; Obesity, Abdominal/epidemiology* ; Beijing ; Obesity/complications* ; Body Mass Index ; Risk Factors ; Cholesterol ; Dyslipidemias/epidemiology* ; Waist Circumference

Introduction: Hypertension is an emerging health concern among children owing to its increasing prevalence and association with obesity. However, hypertension screening is uncommon, and childhood hypertension-related data are limited. This cross-sectional study determined the prevalence and associated factors of hypertension among primary school children in Kuching, Sarawak. Methods: Standard procedures and validated equipment were used to measure blood pressure and anthropometric indicators. The body mass index (BMI)-for-age and waist-to-height ratio (WHtR) were calculated. Questionnaires were used to obtain family sociodemographic data and health history. Results: A total of 1,314 children aged 6–12 years were enrolled, of whom 107 (8.1%) and 178 (13.5%) were hypertensive and pre-hypertensive, respectively. The chi-squared test indicated that hypertension was significantly associated with male sex (P<0.05), ≥1 standard deviation BMI-for-age (P<0.001), percentage of excess body fat (BF)(P<0.001), 5th to 95th height percentile (P<0.001), >90th excess waist circumference (WC) percentile (P<0.001), >90th WHtR percentile (P<0.001), clerical, service, sales and skilled parental work (P<0.05), excess weight (P<0.05) and cardiovascular disease (P<0.01). Multivariate logistic regression analysis showed that the percentage of excess BF [odds ratio (OR): 4.84, 95% confidence interval (CI): 2.01–11.66] and excess WC (OR: 2.33, 95% CI: 1.15–4.72) were significantly related to hypertension after adjusting for sex and age. Conclusion The prevalence of hypertension among the study population is higher than that among children worldwide. Childhood hypertension-related factors must be identified to aid in routine blood pressure screening, which is crucial for early detection and intervention to reduce future morbidity burden.
Hypertension ; Obesity ; Waist Circumference ; Child

Adult ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2/epidemiology* ; Humans ; Obesity/epidemiology* ; Vitamin D ; Vitamin D Deficiency ; Vitamins ; Waist Circumference

Objective: To investigate the detection types and aggregation of high-risk population of cardiovascular disease (CVD) in Jiangsu province and the related influencing factors to provide reference for the prevention and control of cardiovascular disease. Methods: A total of 120 211 participants were included in the investigation. Information was collected by questionnaire based survey, physical examination and biochemical tests. χ² test and multivariate logistic regression were used for statistical analysis. Results: The detection rate of CVD high risk was 25.03%. The detection rates were 19.01%, 4.85%, 3.18% and 5.31% for hypertension, dyslipidemia, cardiovascular history and WHO assessed risk ≥20% types, respectively. Male, rural, old age, low education level, low family income, drinking, waist circumference exceeding standard, overweight and obesity were risk factors of CVD (all P<0.01). The composition ratios of aggregation of 1, 2 and ≥3 high risk types of CVD were 74.01%, 22.91% and 3.08%, respectively. With the increase of aggregation types, the correlation strength increased with age, rural residents, education level and annual family income. Conclusion: Targeted measures should be carried out according to different influencing factors for the prevention and control of CVD in Jiangsu province in order to achieve the maximum prevention and control effect with the minimum cost.
Cardiovascular Diseases/epidemiology* ; China/epidemiology* ; Humans ; Hypertension/epidemiology* ; Male ; Overweight ; Prevalence ; Risk Factors ; Waist Circumference