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

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*

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: 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

Objective To understand the prevalence and influencing factors of hypertension among the elderly aged 60 years and above in Mianyang City,Sichuan Province,so as to provide clues for targeted prevention and control of hypertension. Methods A total of 115 775 permanent residents aged 60 and above screened out from Mianyang demonstration sites from October 2017 to April 2019 were investigated by questionnaire and physical examination,and the data of personal basic information,lifestyle,body height,body weight,waist circumference,and blood pressure were collected.SPSS 22.0 was used for descriptive analysis,single factor analysis,and Logistic regression analysis. Results The prevalence rate of hypertension in the elderly aged 60 years and above in Mianyang was 50.60%.Specifically,the prevalence rates of hypertension in men and women were 50.27% and 50.85%,respectively.The prevalence rate of hypertension increased with the increase in age([Formula: see text]=370.199,P<0001).Multivariate Logistic regression analysis showed that the independent risk factors of hypertension included age of 70-79 years(OR=1.327,95%CI=1.292-1.363,P<0.001),the age of 80 years and above(OR=1.455,95%CI=1.386-1.527,P<0.001),widowhood(OR=1.343,95%CI=1.296-1.392,P<0.001),divorce(OR=1.255,95%CI=1.033-1.525,P=0.022),overweight(OR=1.431,95%CI=1.391-1.473,P<0.001),obesity(OR=2.171,95%CI=2.076-2.270,P<0.001),waist-to-height ratio>0.5(OR=1.317,95%CI=1.281-1.354,P<0.001),history of diabetes(OR=1.865,95%CI=1.791-1.941,P<0.001),history of smoking(OR=1.107,95%CI=1.068-1.148,P<0.001),and history of drinking(OR=1.950,95%CI=1.894-2.009,P<0.001).Living in urban-rural fringe areas(OR=0.628,95%CI=0.594-0.664,P<0.001),education background of junior high school and above(OR=0.942,95%CI=0.912-0.974,P<0.001),and low body weight(OR=0.785,95%CI=0.742-0.830,P<0.001) were protective factors for hypertension. Conclusions More than 50% of the elderly aged 60 years and above in Mianyang suffer from hypertension.The elderly with advanced age,widowhood,divorce,overweight,obesity,waist-to-height ratio>0.5,diabetes history,smoking history,and drinking history are the high-risk groups of hypertension.
Aged ; Male ; Humans ; Female ; Overweight ; Hypertension/etiology* ; Waist Circumference ; Obesity ; Risk Factors ; Prevalence ; Body Weight ; China/epidemiology* ; Body Mass Index

Objective: To examine the association of body mass index (BMI) and waist circumference (WC) with frailty among oldest-old adults in China. Methods: A total of 7 987 people aged 80 years and older (oldest-old) who participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2017-2018 were included. Information on demographic characteristics, behavior pattern, diet, activities of daily living, cognitive function, health status, disease condition were collected by questionnaire and physical examination. Generalized linear mixed model and restricted cubic splines (RCS) were used to analyze the association of BMI and WC with frailty. Results: The mean age of all participants was 91.7 years, and their mean BMI and WC were (21.3±3.5) kg/m² and (82.9±10.5) cm, respectively. The proportion of male was 42.3% (3 377/7 987), and the proportion of people with frailty was 33.7% (2 664/7 987). After controlling confounding factors, compared with T₂ (19.1-22.1 kg/m²) of BMI, the OR (95%CI) of the female T₁ (<19.1 kg/m²) and T₃ (≥22.2 kg/m²) group was 1.39 (1.17-1.65) and 1.27 (1.07-1.52), respectively. Compared with T₂ (77-85 cm) of WC, the OR (95%CI) of female T₁ (<77 cm) and T₃ (≥86 cm) group was 1.20 (1.01-1.42) and 1.10 (0.93-1.31), respectively. The results of multiple linear regression model with restrictive cubic spline showed that there was a non-linear association of BMI and WC with frailty in female. Conclusion: There is a U-shaped association of BMI and WC with frailty in female participants.
Adult ; Male ; Female ; Humans ; Aged, 80 and over ; Waist Circumference ; Body Mass Index ; Frailty/epidemiology* ; Activities of Daily Living ; China/epidemiology* ; Risk Factors

Objective: To describe and compare blood glucose levels in adults aged 18 years old and above in China and explore the relationship between BMI and waist circumference with blood glucose. Methods: China Chronic Disease and Risk Factor Surveillance were conducted in 298 counties/districts in China in 2018, covering 31 provinces (autonomous regions, municipalities). A multi-stage stratified cluster random sampling method selected permanent residents aged 18 years and above. Information on demographics, behavior-related risk factors, BMI, waist circumference, and blood glucose were collected through a face-to-face questionnaire, physical measurement, and laboratory examination. After complex weighting of data, they described the blood glucose levels of people with different characteristics and explored the relationship of BMI and waist circumference with blood glucose by multiple linear regression model analysis. Results: A total of 177 816 adults were included in the study. The average fasting blood glucose and average glycosylated hemoglobin were (5.73±1.46) mmol/L and (5.37±0.83) %, with people aged 60 years old and above group highest than that of other, with males higher than females (P<0.001); and urban was higher slightly than rural for the average of average glycosylated hemoglobin (P<0.001). The average fasting blood glucose and average glycosylated hemoglobin increased with increased BMI and waist circumference (P<0.001). Results from multiple linear regression model analysis showed that: 1) for each increase in BMI unit and waist circumference, the fasting glucose levels increased by 0.019 mmol/L and 0.008 mmol/L (all P<0.001) in those not diagnosed with diabetes, 2) by 0.021 mmol/L (P=0.163) and 0.014 mmol/L (P=0.004) in those newly detected as diabetes, and 3) by 0.028 mmol/L (P=0.088) and 0.023 mmol/L (P<0.001) in those self-reported as having been diagnosed as diabetes, respectively. However, glycosylated hemoglobin levels increased: 1) by 0.015% and 0.006% in those not diagnosed as diabetes (all P<0.001), 2) by 0.050% and 0.019% in those newly detected as diabetes (all P<0.001), and 3) by 0.033% and 0.019% in those self-reported as having been diagnosed as diabetes (all P<0.001), respectively. These associations with waist circumference were more robust than with BMI. Conclusions: Adults not diagnosed with diabetes with abnormal BMI or waist circumference are the key population for prevention and control. Measures improving the awareness rate of waist circumference should be taken to maintain average blood glucose in various groups.
Adolescent ; Adult ; Blood Glucose/analysis* ; Body Mass Index ; China/epidemiology* ; Diabetes Mellitus/epidemiology* ; Female ; Glycated Hemoglobin/analysis* ; Humans ; Male ; Middle Aged ; Risk Factors ; Waist Circumference

Objective: To understand the awareness of weight and waist circumference and their influencing factors among residents aged ≥18 years in China and provide a reference for the development of relevant prevention and treatment policies and evaluation of intervention effects. Methods: We selected 298 counties (districts) from the 31 provinces (autonomous regions and municipalities) which participated in the 2018 China Chronic Disease and Risk Factor Surveillance program and included 194 779 permanent residents aged ≥18 years. To obtain the demographic characteristics of the study population, we used a multi-stage stratified whole-group random sampling method, questionnaires, and physical measurements. In this study, 179 045 people who completed the survey and had complete information on weight and waist circumference awareness were used as the study subjects. The weight awareness rate and waist circumference awareness rate were calculated by gender stratification, age, urban-rural, and education level groups. A multi-factor logistic regression model was used to analyze the influencing factors related to weight and waist circumference awareness of residents aged ≥18 years. Results: The weight awareness rate of adult residents in China in 2018 was 45.4% (95%CI: 41.9%-48.9%), higher among men [46.2% (95%CI: 42.5%-49.8%)] than women [44.6% (95%CI: 41.1%-48.2%)], and in urban areas [54.3% (95%CI: 49.3%-59.3%)]. The highest weight awareness rate appeared in residents with low BMI grouping [49.9% (95%CI: 44.3%-55.6%)], and the weight awareness rate in residents with undiagnosed central obesity, hypertension, and diabetes was higher than that of residents with diagnosed diabetes, with statistically significant differences (P<0.05). The waist circumference awareness rate of adult residents was 11.6% (95%CI: 9.7%-13.4%), higher in women [12.8% (95%CI: 10.8%-14.8%)] than in men [10.3% (95%CI: 8.6%-12.0%)], higher in urban [14.6% (95%CI: 11.7%-17.4%)] than in rural [8.3% (95%CI: 6.5%-10.2%)], and the waist circumference awareness rate was higher among residents with confirmed diabetes than those with undiagnosed diabetes, with statistically significant differences (P=0.020). The difference was statistically significant (P<0.001). The weight and waist circumference awareness rate increased with education level and annual per capita household income. Multi-factor logistic regression analysis suggested that urban, highly educated, high per capita annual household income and health check-up residents may have higher weight and waist circumference awareness rates among adult residents in China. Conclusion: Less than half of the adult residents in China know their weight status, and only about one-tenth know their waist circumference. Rural residents, those with low education levels and low annual per capita household income, and those who are obese need to be given prioritized attention. The relevant government departments should strengthen the popularization of the importance of weight and waist circumference on health and improve the awareness of our residents about their waist circumference and weight.
Adolescent ; Adult ; Body Mass Index ; China/epidemiology* ; Diabetes Mellitus ; Female ; Humans ; Male ; Obesity/epidemiology* ; Overweight ; Prevalence ; Risk Factors ; Waist Circumference