Waist-to-height Ratio Research Articles

Tri-ponderal mass index as a screening tool for obesity prediction in children aged 6-9 years.

This study aimed to evaluate the efficiency of tri-ponderal mass index (TMI) in determining obesity in Chinese children aged 6-9 years, using the criteria of percentage of body fat (PBF) and body mass index z-scores (BMI-Z). The cross-sectional study included 5365 children, aged 6-9 years, who participated in the project survey "Group prevention and treatment of obesity among students and school health promotion in Shanghai" from September 2007 to September 2009. Height, weight, waist circumference, body mass index (BMI), TMI, waist-to-height ratio (WHtR), and PBF were recorded. Statistical analyses including Kolmogorov-Smirnov test, chi-square test, receiver operating characteristics curve, and kappa chi-square test were performed. TMI for both sexes was relatively constant with increasing age, and statistically significant differences were not observed at some ages (P > 0.05 at 6, 7, 8, and 9 years). WHtR showed subtle changes, while BMI and PBF increased significantly with age in boys and girls (P < 0.01). Using BMI-Z criteria as the measure of general obesity, the results indicated that TMI cutoff values for 6-9 years were 14.60 kg/m3 for boys and 14.84 kg/m3 for girls (P < 0.001). Analysis of the agreement between TMI and BMI-Z showed that the kappa statistic was 0.826 in boys and 0.709 in girls (P < 0.001). TMI, as a constant tool, holds great potential as an alternative screening method for identifying children aged 6-9 years who may be at risk of obesity at an early stage.

Abstract 14027: The Use of Anthropometric Indices as Indicators of Hypertension in Patients With Diabetes Types 2: A Large-Scale Cross-Sectional Study

Introduction: Obesity is associated with hypertension and diabetes mellitus (DM), increasing cardiovascular disease risk and mortality. While body mass index (BMI) is widely used to measure obesity, it has several limitations. Therefore, alternative anthropometric indices such as waist circumference (WC), waist-to-height ratio (WHtR), body roundness index (BRI), and a body shape index (ABSI) have been suggested. Hypothesis: This study aims to identify the most effective anthropometric index for predicting hypertension in patients with type 2 DM. Methods: In this cross-sectional study, patients with type 2 DM were included and classified into two groups based on the presence or absence of hypertension. Demographic and clinical data were collected and anthropometric measurements were taken. Multivariate logistic regression analysis was used to identify factors associated with hypertension. Receiver operating characteristic (ROC) curves were performed to determine the diagnostic performance of various anthropometric indices, with a subgroup analysis based on the status of patients DM. Results: The study population included 977 male and 1454 female patients with DM, among whom 50.3% and 67.1% had hypertension. Both male and female patients with hypertension were older, had a longer duration of DM, and had higher anthropometric measurements, blood pressure, and lipid profiles. ROC curve analysis revealed that although all indices could significantly predict hypertension (0.55-0.76 in men and 0.68-74 in women), WHtR and BRI had the highest ability to identify patients with hypertension in men irrespective of DM status being controlled or not. (WHtR: 0.76, 95% confidence interval (CI): 0.73-0.79, BRI: 0.76, 95% CI: 0.73-0.79). WC had the highest diagnostic performance in all female patients and female patients with uncontrolled DM (0.75, 95% CI: 0.72-0.75 and 0.75, 95% CI: 0.72-78, respectively). All indices remained significant in the logistic regression after adjusting for potential confounders. Conclusions: While WHtR and BRI were better predictors of hypertension in men with DM, WC had a better diagnostic performance in women with DM.

69 Influence of Cardiovascular Risk Factors on Neuropsychological Trajectories in Black/African American Adults Living with HIV

Objective:Human immunodeficiency virus (HIV) type 1 (HIV-1), cardiovascular disease, and HIV-associated neurocognitive disorders (HAND) disproportionately affect Black/African American individuals compared to other racial and ethnic groups. Understanding the mechanisms of cognitive health disparities is essential for developing policy and health interventions to combat such disparities. Cardiovascular risk factors/diseases are common comorbidities that likely contribute to cognitive health disparities among Black/African American people living with HIV (PWH), but their impacts on cognition longitudinally in this population are unclear. The current study examines the relationship between cardiovascular risk and cognitive functioning over time in Black/African American adults living with HIV.Participants and Methods:A sample of 122 Black/African American adults with HIV (ages 25-68, M=51.8, SD=7.7; 98% on antiretroviral therapy; 91% with undetectable viral load) were selected from the Drexel/Temple Comprehensive NeuroHIV Center, Clinical and Translational Research Support Core (CTRSC; based at Drexel University College of Medicine) Cohort. They completed longitudinal visits (300 total visits, average follow-up time=4.9 years) that included clinical interviews, medical record review, biometric measurements, and comprehensive neuropsychological assessments. Cardiovascular risk factors of interest were body mass index (BMI), waist-to-height ratio (WHtR), and a total vascular risk burden score (VBS) representing five risk factors: obesity, central obesity, diabetes, hyperlipidemia, and hypertension. Based on a prior principal component analysis, three cognitive domains were examined: (1) verbal fluency, (2) visual memory/visuoconstruction, and (3) motor speed/executive functions. Mixed models were used to examine domain-specific cognitive trajectories in relation to baseline cardiovascular risk factors and changes in cardiovascular risk factors.Results:Overall, cognitive test performance improved over time (p&lt;.003). Baseline VBS was marginally associated with longitudinal change in verbal fluency (p=.06). Participants with low baseline VBS (0-1 risk factors) demonstrated improvement in verbal fluency (p=.002), while those with higher VBS (2-5 risk factors) demonstrated stability in verbal fluency. In contrast, greater increases in BMI and in WHtR predicted more favorable trajectories in motor speed/executive function (both p&lt;.001). Patients with increasing BMI over time improved in this domain (p=.02), while patients with stable or decreasing BMI did not. A similar pattern was observed for WHtR change. No vascular risk factors were associated with trajectories of visual memory/visuoconstruction.Conclusions:Higher total vascular risk burden was associated with less favorable verbal fluency trajectories, reflecting the negative cognitive consequences of disorders such as diabetes, hyperlipidemia, and hypertension. Unexpectedly, greater increases in BMI and WHtR were associated with more favorable trajectories in motor speed and executive functioning. In this population, weight gain may be a proxy for other positive health factors, such as immune reconstitution, which will be examined in future analyses. Taken together, cardiovascular risk factors have heterogeneous associations with cognitive trajectories, emphasizing the importance of examining the mechanisms of these varying relationships. Future research will examine how social determinants of health, such as racial/ethnic discrimination, contribute to disparities in cardiovascular risk factors and cognitive outcomes.

Anthropometric indexes for predicting high blood pressure in Turkish adults.

It is controversial which anthropometric indexes are the best in predicting the risk of hypertension and how anthropometric measurements are related to blood pressure (BP). This study aimed to evaluate the relationship between BP and anthropometric indexes and to determine the best predictors for hypertension risk. This cross-sectional study was conducted with 415 consecutive participants (161 men, mean age: 33.4 years) aged 18-88 years in Istanbul, Turkey. Weight, height, waist circumference (WC), and neck circumference (NC) and BP were measured by well-trained personnel. Waist-to-height ratio (WHtR) and body mass index (BMI) were calculated. Pearson correlation, linear regression, and multivariate analyses were used to assess the relationship between anthropometric measurements and SBP, DBP, using the Statistical Package for the Social Sciences version 23.0. The systolic BP (SBP) and diastolic BP (DBP) were related to weight, WC, NC, BMI, and WHtR (P < 0.05). Linear regression analyses showed BMI and WC as independent risk factors for SBP with an increase by 1.11 mmHg in men (P = 0.036) and 1.59 mmHg in women (P = 0.001) in SBP when BMI increased 1 unit, while SBP increases by 0.2 mmHg when WC increases by 1 unit regardless of gender (P = 0.013). Our results showed that BMI and WC are related to BP and important predictors of hypertension risk. Therefore, the uses of BMI and WC are recommended as screening tools for the prediction of hypertension risk among Turkish adults.

Anthropometric indicators as discriminators of high body fat in children and adolescents with HIV: comparison with reference methods.

Body fat assessment is needed in individuals with HIV. The objective was to identify the discriminatory capacity of the abdominal skinfold (ASF) tricipital skinfold (TSF), subscapular fold (SSF), calf skinfold (CSF), body adiposity index (BAI), body mass index, conicity index (IC), mid-upper arm circumference (MUAC), waist circumference (WC), perimeter of neck (PN) and waist-to-height ratio (WHtR) for high body fat in children and adolescents with HIV, compared Dual energy X-ray absorptiometry (DXA) and air displacement plethysmography (ADP). Descriptive study, cross - sectional study, with 65 children and adolescents with HIV by vertical transmission. Body fat was measured by DXA and ADP. Measures were measured by international standardization. The diagnostic properties for high body fat were assessed by area under the ROC curve (AUC). For boys, having DXA as a reference for fat, ASF (AUC: 0.920), TSF (AUC: 0.792), SSF (AUC: 0.766), CSF (AUC: 0.866), BAI satisfactory discriminatory capacity. With ADP as the reference method, ASF (AUC: 0.920), TSF (AUC: 0.921), SSF (AUC: 0.766), CSF (AUC: 0.901), BAI (AUC: 0.756) and BMI (AUC: 0.699) presented satisfactory results. For girls, having DXA as a reference for fat, ASF (AUC: 0.838), TSF (AUC: 0.842), SSF (AUC: 0.840), CSF (AUC: 0.887), BAI (AUC: 0.846), and BMI (AUC: 0.859) presented satisfactory discriminatory capacity. Assuming ADP as a reference for fat, ASF (AUC [AUC: 0.799], TSF [AUC: 0.825], SSF [AUC: 0.767], CSF [AUC: 0.897], BAI 0.788), were satisfactory. The ASF, TSF, SSF, CSF, BAI and BMI anthropometric indicators may be suggested as the most suitable for the detection of high body fat in children and adolescents with HIV.

Novel anthropometric parameters in the adult population with prediabetes.

Although it is assumed that novel-derived anthropometric indices can better reflect cardiometabolic risk than traditional ones, the results are conflicting. Previous studies have mainly focused on patients with type 2 diabetes mellitus. However, studies conducted on populations with prediabetes are scarce. The present study aimed to examine the potential relationship between prediabetes and novel anthropometric parameters [that is, cardiometabolic index (CMI), visceral adiposity index (VAI), lipid accumulation product index (LAP), body roundness index (BRI), and body adiposity index (BAI)] and traditional parameters [that is, waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR)] in adults with prediabetes. This case-control cross-sectional study included 177 patients with prediabetes and 609 control subjects. Biochemical and simple anthropometric parameters were measured (WC, HC, body weight, and height), whereas the other parameters were calculated. WC, CMI, VAI, and LAP independently correlated with prediabetes. Principal component analysis (PCA) was used to extract several factors that correlated with prediabetes. Significant predictive capability was demonstrated for non-traditional anthropometric/lipid-related factors and WHipR-related factors for prediabetes (OR=1.334 and OR=1.202, respectively). However, only non-traditional anthropometric/lipid-related factors (i.e., VAI, CMI, and LAP) demonstrated an independent significant positive relationship with prediabetes in multivariate binary regression analysis. CMI, VAI, and LAP could be superior to BAI, BRI, and conventional anthropometric parameters for discriminating patients with prediabetes in the adult population. Prospective trials are needed to confirm our results.

Menstrual pattern and anthropometric characteristics of women with primary and secondary infertility in comparison with age-matched controls

BACKGROUND: The incidence of infertility has increased significantly due to lifestyle changes and the presence of diverse environmental stress. Body mass index (BMI) and waist circumference (WC) are two common anthropometric measures of obesity. Factors such as differences in race, sex, and age influence BMI, and recent studies have reported limitations in the use of BMI to determine obesity. Body fat distribution has a more valid criterion for determining obesity than BMI. Our aim was to compare the menstrual pattern and anthropometric parameters of women with primary and secondary infertility with those of age-matched controls and to assess the correlation between the anthropometric variables and fertility types. MATERIALS AND METHODS: A cross-sectional study was conducted in which the anthropometric measurements and menstrual history over the last 3 months of cases of primary and secondary infertility were compared with the age-matched control group. RESULTS: Women with primary and secondary infertility tend to be overweight or obese. The menstrual pattern of women with infertility was not statistically different as compared to the control groups. There were significant differences in weight, BMI, hip circumference, WC, and neck circumference (NC) of women with primary infertility with those of age-matched controls. A statistically significant difference was noted in NC between the primary and secondary infertility groups. CONCLUSION: The results obtained show that women with infertility tend to be overweight/obese. Due to the limited sample size, the relationship between menstrual pattern and anthropometric characteristics such as waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and frame size (FRS) and infertility could not be established.

Sex-Specific Contribution of Cardiometabolic Index in Predicting Metabolic Dysfunction-Associated Fatty Liver Disease: Insights from a General Population.

Evidence suggests that cardiometabolic index (CMI) has been identified as a novel obesity-related index associated with diabetes, hypertension, and cardiovascular disease. Current evidence suggests that the differences in sex hormones and regional fat distribution in both sexes are directly correlated with metabolic dysfunction-associated fatty liver disease (MAFLD) risk. This study aimed to investigate the diagnostic value of CMI in MAFLD in both sexes. This retrospective study included 6107 subjects who underwent annual health check-ups from March 2021 to January 2022. CMI was calculated by multiplying the ratio of triglycerides and high-density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Multivariable logistic regression analysis and restricted cubic spline were used to investigate the association of CMI and MAFLD risk. Receiver operating characteristic curve analysis was conducted for the exploration of the diagnostic accuracies of obesity-related indicators. Areas under the curves (AUCs) with 95% CIs were calculated. Prevalence of MAFLD increased with elevated quartiles of CMI in both sexes. The median (IQR) age was 46.00 (18.00) years. Multivariate logistic regression analyses showed that higher CMI was independently associated with MAFLD, in which every additional standard deviation (SD) of CMI increased the risk of MAFLD (OR=2.72, 95% CI:2.35-3.15 for males; OR=3.26, 95% CI:2.36-4.51 for females). Subjects in the fourth quartile of CMI had the highest odds of MAFLD for males (OR=15.82, 95% CI:11.84-21.14) and females (OR=22.60, 95% CI:9.52-53.65)(all P for trend<0.001). Besides, CMI had a non-linearity association with MAFLD (all P for non-linearity<0.001). Furthermore, CMI exhibited the largest AUC compared to other obesity-related indexes in terms of discriminating MAFLD in males (AUC=0.796, 95% CI:0.782-0.810) and females (AUC=0.853, 95% CI:0.834-0.872). CMI was a convenient indicator for the screening of MAFLD among Chinese adults. Females with high CMI had a better diagnostic value for MAFLD than males.

Differences Between Conventional and Newer Anthropometric Measures Among Individuals with and without Fatty Liver Disease.

A cross-sectional analysis was conducted to compare conventional and emerging anthropometric measures among male participants with and without fatty liver disease (FLD). The objective was to assess differences and diagnostic efficiency of anthropometric-parameters using receiver operating curve (ROC) analysis at Combined Military Hospital Multan, NUMS from April to October 2022. Comparison for anthropometric measurements between non-FLD (n=164) vs. FLD (n=85) indicated significant differences in weight (74.01 + 11.96 vs. 85.91 + 14.07 kg, p<0.001), waist circumference (9.38 + 9.82 vs. 101.35 + 10.74 cm, p<0.001), BMI (24.81 + 4.0 vs. 29.21 + 4.38 kg/m2, p<0.001), waist-to-hip ratio (WHpR) (0.924 + 0.054 vs. 0.971 + 0.054, p<0.001), waist-to-height ratio (WHtR) (0.508 + 0.054 vs. 0.578 + 0.062, p<0.001), and abdominal volume index (AVI) (16.17 + 3.56 vs. 20.77 + 4.61, p<0.001). Fatty liver index (FLI) also showed significant difference between non-FLD vs. FLD groups (38.35 + 27.12 vs. 72.01 + 21.31, p<0.001). AUCs for various significant anthropometric measurements from highest to lowest as 0.821 (95% CI: 0.767-0.874) for FLI, 0.815 (95% CI: 0.761-0.869) for WHtR, 0.809 (95% CI: 0.754-0.863) for AVI, and 0.808 (95% CI: 0.754-0.863) for waist circumference with lowest recorded AUC for height as 0.422 (95% CI: 0.347-0.497). Key Words: Fatty liver disease (FLD), Body mass index (BMI), A body shape index (ABSI), C-index, Abdominal volume index (AVI), Body roundness index (BRI).

Association of the timing of evening eating with BMI Z-score and waist-to-height ratio among preschool-aged children in Finland.

Later timing of eating has been associated with higher adiposity among adults and children in several studies, but not all. Moreover, studies in younger children are scarce. Hence, this study investigated the associations of the timing of evening eating with BMI Z-score and waist-to-height ratio (WHtR), and whether these associations were moderated by chronotype among 627 preschoolers (3-6-year-olds) from the cross-sectional DAGIS survey in Finland. Food intake was measured with 3-d food records, and sleep was measured with hip-worn actigraphy. Three variables were formed to describe the timing of evening eating: (1) clock time of the last eating occasion (EO); (2) time between the last EO and sleep onset; and (3) percentage of total daily energy intake (%TDEI) consumed 2 h before sleep onset or later. Chronotype was assessed as a sleep debt-corrected midpoint of sleep on the weekend (actigraphy data). The data were analysed with adjusted linear mixed effects models. After adjusting for several confounders, the last EO occurring closer to sleep onset (estimate = -0·006, 95 % CI (-0·010, -0·001)) and higher %TDEI consumed before sleep onset (estimate = 0·0004, 95 % CI (0·00003, 0·0007)) were associated with higher WHtR. No associations with BMI Z-score were found after adjustments. Clock time of the last EO was not significantly associated with the outcomes, and no interactions with chronotype emerged. The results highlight the importance of studying the timing of eating relative to sleep timing instead of only as clock time.

Prediction of blood pressure based on anthropometric measurements in adolescents

Background Recently, an important health issue in children is obesity, leading to hypertension. The aim of this study was to determine association of blood pressure with anthropometric variables in adolescents. Methods In this study, 1992 adolescents aged 11–18 years old between 2000 and 2007 were included. Cut point of anthropometric indices of waist circumference (WC), waist-to-stature ratio (WSR) and body mass index (BMI) was identified using Youden’s index. Results Cut point of BMI for identification of hypertension was 19.69, 25.5, 20.65 and 24.13 for boys at middle and high school, girls at middle and high school, respectively. This measure for WSR was 0.44, 0.50, 0.45 and 0.517 for boys at middle and high school, girls at middle and high school, respectively. Regarding WC, it was 69.50, 96.5, 65.5 and 77.5 for boys at middle and high school, girls at middle and high school, respectively. Conclusions In middle school boys, WSR, WC and BMI are associated with DBP but by increasing age, only BMI and weight are associated with DBP. BMI is the consistent anthropometric determinant of DBP. We also observed the relationship between WSR and SBP in boys, which could be applied as a predictive measure.

Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study

BackgroundCardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) with CMM among Chinese adults.MethodsData of 101,973 participants were collected from a population-based screening project in Southern China. CMM was defined as having two or more of the following diseases: coronary heart disease, stroke, hypertension, and diabetes. The relationship between the six adiposity indices and CMM was investigated by multivariate logistic regression and restricted cubic splines. Receiver operator characteristic curve, C-statistic and net reclassification index were used to estimate the discriminative and incremental values of adiposity indices on CMM.ResultsLogistic regression models showed the six adiposity indices were all significantly associated with the odds of CMM with non-linear relationships. For per SD increment, WC (Odds ratio [OR]: 1.66; 95% confidence interval (CI): 1.62–1.70) and WHtR (OR, 1.61; 95% CI, 1.58–1.65) were more significantly associated with a higher prevalence of CMM than BMI (OR, 1.55; 95% CI, 1.52–1.58) (all P < 0.05). In addition, WC, WHtR, and BRI displayed significantly better performance in detecting CMM compared with BMI (all P < 0.05). Their respective area under the curve (AUC) values were 0.675 (95% CI: 0.670–0.680), 0.679 (95% CI: 0.675–0.684), and 0.679 (95% CI: 0.675–0.684), while BMI yielded an AUC of 0.637 (95% CI: 0.632–0.643). These findings hold true across all subgroups based on sex and age. When Adding WC, WHtR, or BRI to a base model, they all provided larger incremental values for the discrimination of CMM compared with BMI (all P < 0.05).ConclusionsAdiposity indices were closely associated with the odds of CMM, with WC and WHtR demonstrating stronger associations than BMI. WC, WHtR, and BRI were superior to BMI in discriminative ability for CMM. Avoidance of obesity (especially abdominal obesity) may be the preferred primary prevention strategy for CMM while controlling for other major CMM risk factors.

Body Composition and Cardiovascular Risk: A Study of Polish Military Flying Personnel.

(1) Background: Military personnel worldwide exhibit high rates of obesity. Obesity, and especially visceral obesity, contribute to various health issues, including type 2 diabetes and cardiovascular diseases (CVD). While BMI is commonly used to diagnose obesity, it has limitations and does not consider factors like fat distribution or muscle mass. This study aims to assess the relationship between BMI, percent body fat, waist circumference (WC), waist-to-height ratio (WHtR), and cardiovascular risk factors in Polish military flying personnel. Methods: This study involved 200 men from the Polish Air Force aged 38.8 ± 8.5 years. Anthropometric tests, body composition tests, and tests of biochemical markers of CVD were conducted. (2) Results: The prevalence of overweight and obesity varied based on the evaluation criterion; they were present in 63.5% of soldiers by BMI and in 52.5% by percent body fat; abdominal obesity was present in almost half (47%) of the surveyed soldiers according to WC and in 62.5% according to WHtR. All markers of obesity correlated positively with various biochemical markers of CVD, and 8.5% of subjects met the criteria for metabolic syndrome. (3) Conclusions: The prevalence of obesity in Polish military flying personnel, regardless of the evaluation criterion, is associated with significant metabolic complications in the form of lipid disorders and insulin resistance.

Higher Bifidobacterium spp. fecal abundance is associated with a lower prevalence of hyperglycemia and cardiovascular risk markers among schoolchildren from Bahia, Brazil.

The gut microbiome has recently been the subject of considerable scientific interest due to its essential bodily functions. Several factors can change the composition and function of the gut microbiome, and dietary habits are one of the most important contributors. Despite the recognition of the probiotic effects related to the genus Bifidobacterium spp. (BIF) studies aiming to assess its relationship with metabolic outcomes show conflicting results, particularly in the child population. This cross-sectional study aimed to evaluate the fecal abundance of BIF in a group of schoolchildren from public schools in Bahia, Brazil, and to investigate their relationship with food consumption and laboratory and anthropometric characteristics. A sample of 190 subjects aged 5 to 19y was randomly selected for dietary, laboratory, and anthropometric assessment. Fecal BIF abundance assessment was performed using the Real-Time Polymerase Chain Reaction assay. Fecal BIF abundance was higher among subjects who had lower intakes of meat. The abundance of BIF was also higher among subjects with lower Waist Circumference and Waist-to-Height Ratio (WHtR). Low BIF abundance was associated with a higher prevalence of hyperglycemia (PR 1.04, 95%CI 1.02-1.07, p = 0.001) and high WHtR (PR 1.04, 95%CI 1.01-1, 08, p = 0.015). These findings allow us to conclude that BIF fecal abundance is related to dietary and anthropometric parameters in schoolchildren, and its increase is associated with positive metabolic outcomes.

Novel anthropometric measures are positively associated with erectile dysfunction: a cross-sectional study.

Currently, a growing number of research studies have shown a positive association between obesity and erectile dysfunction, while traditional anthropometric measures, such as BMI, have limited ability to assess the risk of erectile dysfunction. Therefore, this study aimed to investigate the association between the new anthropometric index and erectile dysfunction. A study involving 3594 participants from the National Health and Nutrition Examination Survey was conducted. The study calculated various anthropometric indices such as waist circumference (WC), waist-to-height ratio (WtHR), body mass index (BMI), a body shape index (ABSI), conicity index (CI), and body roundness index (BRI). The relationship between anthropometric indices and erectile dysfunction (ED) was investigated using multivariate logistic regression and restricted cubic splines (RCS). Interaction analysis was conducted on subgroups to confirm the findings. Additionally, the efficacy of various anthropometric indicators in predicting the risk of erectile dysfunction was assessed using the receiver operating characteristic curve (ROC). After adjusting for potential confounding factors, we identified a positive and independent correlation between erectile dysfunction (ED) and all other anthropometric measures except for BMI. Additionally, the risk of ED increased by 49% and 42% for each standard deviation increment in ABSI and CI, respectively. Dose-response curve analysis demonstrated that WC, BMI, WtHR, and CI displayed a non-linear correlation with the risk of ED. The subgroup analysis revealed that individuals classified as White, who had higher levels of WC, ABSI, and CI, were more susceptible to erectile dysfunction compared to people from other races. ROC analysis showed that ABSI was superior in detecting erectile dysfunction (area under the curve: 0.750; 95% CI 0.732-0.768; optimal cutoff value: 0.083) as compared to other indices. The combination of obesity defined by BMI and other anthropometric measures showed that higher ABSI and CI levels were positively associated with the prevalence of erectile dysfunction, independent of BMI (P < .001). In this study, anthropometric indicators including ABSI, BRI, WtHR, CI, and WC were positively associated with erectile dysfunction. To improve the prevention and treatment of this condition, it is recommended that new anthropometric indicators receive greater consideration.

The relationships between body mass index, reciprocal ponderal index, waist-to-height ratio, and fitness in young adult males.

Anthropometric measures such as the body mass index (BMI), reciprocal ponderal index (RPI), and waist-to-height ratio (WHR) have been proposed as predictors of physical fitness. This study aimed to identify the differences in explanatory capacity and fit of BMI, RPI, and WHR on physical fitness, which involves jumping, sprinting, change of direction, and aerobic capacity, by adjusting the polynomial regression. A sample of 297 healthy, recreationally active male university students between 18 and 20 years old was recruited for this study. Anthropometric measurements (height: 174.09 ± 6.27 cm, weight: 78.98 ± 20.27 kg, waist circumference: 93.74 ± 14.56 cm) were taken for each participant. Jumping tests (squat jump, countermovement jump), sprinting tests (20 m sprint), agility tests (agility T-test), and aerobic/endurance tests (6 min walk test, VAM-EVAL test) were performed. Nonlinear quadratic regression models were used to assess the relationship between the jump, sprint, and fitness test scores and the anthropometric indices. The models were compared based on R-squares and Bayesian Information Criterion (BIC). The significance level was set at p < 0.05. The results showed that all the indices predicted a portion of the variance because all variables and index relationships were significant. Regarding the fitted models, the Bayesian Information Criterion showed that BMI was the best indicator of performance, although the RPI was better for VO2max. These findings may be of great interest to practitioners because it appears that anthropometric measures can be used to predict physical fitness in certain tests although the accuracy raises any concerns.

Excess adiposity and iron-deficient status in Colombian women of reproductive age.

Information about excess adiposity markers different from BMI and iron status is limited and more so about the shape of these associations. This study evaluated the relationship between three adiposity markers and iron-deficient status in reproductive-age women. Cross-sectional analysis in 6357 non-pregnant women from the Colombian nutritional health survey (ENSIN) 2010. Exposures were the following: waist circumference (WC), waist-to-height ratio (W-HtR), BMI, and WC > 80 cm, W-HtR > 0.5, and BMI ≥ 25 and ≥30. Outcomes were the following: iron deficiency (ID) as serum ferritin <15 μg/L, ID as ferritin <30 μg/L, anemia, and continuous values of ferritin and hemoglobin. Logistic and linear regressions adjusted for sociodemographic/inflammation covariates were conducted. All the adiposity markers, continuous or categorical, were inversely and significantly associated with both ID thresholds in fully adjusted models (p < 0.05). W-HtR reported stronger effect estimates for ID (odds ratios < 0.5) and for prediction of log-ferritin levels (fully adjusted β-coefficient [95% CI] 0.61 [0.39-0.82], p < 0.01) and was also inversely associated with anemia (p < 0.05). In cubic splines analyses, W-HtR, WC, and BMI were linearly associated with ID from values closer to international thresholds of general or central obesity, and the patterns of WC and BMI tended toward flatness. A significant decline in the likelihood of anemia was steeper by increasing W-HtR than by increasing BMI. After exclusion of women with C reactive protein > 5 mg/L or adjustment for C reactive protein, adiposity markers remained significantly related to ferritin levels and W-HtR with anemia. Women with higher adiposity were less likely to have an iron-deficient status. W-HtR was the strongest and most consistently associated marker. Inflammation would not be involved in the associations found.

Comparisons and associations among anthropometric indices of first and second division and assistant soccer referees.

Body composition is an important predictor of performance and a key component of health and physical fitness. Therefore, the purposes of this study were to compare soccer referees of the first and second divisions and field assistant referees from Iran and to analyze associations of a body shape index (ABSI), body adiposity index (BAI), abdominal volume index (AVI), body roundness index (BRI), conicity index (ConI), and body mass index (BMI) with body fat percentage (%BF). A total of 270 male soccer referees from the first (n = 124) and second (n = 72) divisions and assistant referees (n = 74) participated in this study. Skinfold thickness (measured at the chest, biceps, triceps, subscapular, abdominal, iliac crest, and front thigh), height, weight, hip circumference, and waist circumference were assessed to evaluate waist-to-height ratio (WHtR), %BF, and also ABSI, BRI, BAI, ConI, and AVI according to the ISAK protocol. The main results indicated differences in WHR, WHtR, ABSI, BRI, AVI, ConI, and BF% with the assistant referees presenting higher values (p < 0.05). When considering the backward selection model, there were some associations with %BF in each group, specifically BMI, BAI, and ABSI in the first division; BMI, WHR, and ABSI in the second division; and BMI in the assistant referee group (all p < 0.05). The present study did not confirm the hypothesis that the first-division referees presented better body composition-related variables than the second division or assistant referees. Instead, it showed that the assistant referees that participated in both divisions showed a tendency to higher values which suggests that the level of division is not a major factor when analyzing body composition.

Mediating effect of cumulative lipid profile burden on the effect of diet and obesity on hypertension incidence: a cohort study of people aged 35-65 in rural China.

Cumulative lipid profile burden is designed to dynamically measure lipid accumulation, and its effect on hypertension has been poorly studied. Our main purpose was to investigate the effect of cumulative lipid profile burden on the incidence of essential hypertension (EH) and to investigate whether cumulative lipid burden mediates the pathogenesis of the effects of diet and obesity on EH. A total of 1295 participants were included in the study, which started in 2017. The average follow-up time was 2.98 years. A total of 240 EH patients occurred during the follow-up period. The HR (95% CI) of the highest quartile in cumulative Total cholesterol (TC), triglyceride (TG) and high density lipoprotein (HDL) burden were 1.747 (1.145 - 2.664), 1.502 (1.038 - 2.173), 0.615 (0.413 - 0.917) for incidence of EH respectively, compared to the respective reference groups. Participants with EH consumed more red meat and refined grains, and red meat was positively associated with cumulative TC burden. BMI and Waist-To-Height Ratio (WHtR) increased the incidence of EH, and obesity was positively correlated with cumulative TG burden. Mediating analysis showed that cumulative TG had a partial mediating effect in the causal relationship between obesity and EH, and Mendelian randomization (MR) also proved this result. Diet was not found to influence EHn through cumulative lipid profile burden. The cumulative TG burden partially mediates the effect of obesity on EH.

Assessing Food Preferences and Neophobias among Spanish Adolescents from Castilla-La Mancha.

Food neophobia is a reaction of dislike or fear of food, which may be due to a wide variety of factors (taste, texture, exposure at an early age, genetics, or diversity in feeding practices and food consumption). The aim of this study was to assess the preferences for tastes and foods and food neophobias among Spanish adolescents and to compare the differences between boys and girls. This was a cross-sectional observational study on 11-18-year-old healthy adolescents (n = 600; 50% female) recruited in the Castilla-La Mancha region (central Spain). Information on taste preferences, food neophobias, anthropometric measurements, and sociodemographic data was recorded. The highest taste preference was found for sweet, salty, and umami. Most adolescents usually did not try new foods outside the home, nor did they like to try foods from other countries. More than half of them also acknowledged being selective eaters or were very particular about the foods they ate. There were no significant associations between taste preference and neophobias with obesity, waist-to-height ratio (WtHR), sleep, and smoking. Adolescents showed a high unwillingness to change food habits, and most of the food neophobias found in the current study were related to new, novel, or previously unknown foods. Spanish adolescents from central Spain (Castilla-La Mancha region) showed a preference for sweet, salty, and umami tastes of foods, as well as food neophobia towards foods that they do not regularly consume, mainly those with a bitter taste. Gender and body weight showed little influence, and age had a moderate influence on food neophobias. Familiarity with foods, as well as educational activities, are suggested as useful to decrease food neophobias among adolescents.