Association of the CUN-BAE body adiposity estimator and other obesity indicators with cardiometabolic multimorbidity: a cross-sectional study.

Cardiometabolic multimorbidity (CM), defined as the coexistence of two or three cardiometabolic disorders, is one of the most common and deleterious multimorbidities. This study aimed to investigate the association of Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with the prevalence of CM. The data were obtained from the 2021 health checkup database for residents of the Electronic Health Management Center in Xinzheng, Henan Province, China. 81,532 participants aged ≥ 60 years were included in this study. Logistic regression models were used to estimate the odd ratios (ORs) and 95% confidence intervals (CIs) for CUN-BAE, BMI, WC, and WHtR in CM. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminatory ability of different anthropometric indicators for CM. The multivariable-adjusted ORs (95% CIs) (per 1 SD increase) of CM were 1.799 (1.710-1.893) for CUN-BAE, 1.329 (1.295-1.364) for BMI, 1.343 (1.308-1.378) for WC, and 1.314 (1.280-1.349) for WHtR, respectively. Compared with BMI, WC and WHtR, CUN-BAE had the highest AUC in both males and females (AUC: 0.642; 95% CI 0.630-0.653 for males, AUC: 0.614; 95% CI 0.630-0.653 for females). CUN-BAE may be a better measure of the adverse effect of adiposity on the prevalence of CM than BMI, WC, and WHtR.

Association of relative hand grip strength with myocardial infarction and angina pectoris in the Korean population: a large-scale cross-sectional study.

BACKGROUND: Low hand grip strength (HGS) is associated with the risk of cardiovascular diseases, but the association between HGS and myocardial infarction/angina pectoris (MIAP) is unclear. Furthermore, there have been no studies examining the associations of MIAP with anthropometric indices, absolute HGS indices, and relative HGS indices calculated by dividing absolute HGS values by body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), or weight values. Therefore, the objective of this study was to examine the associations of MIAP with absolute and relative HGS combined with several anthropometric indices. METHODS: In this large-scale cross-sectional study, a total of 12,963 subjects from the National Health and Nutrition Examination Survey were included. Odds ratios and 95% confidence intervals for the associations of MIAP with anthropometric indices, absolute HGS indices, and relative HGS indices were computed from binary logistic regression models. We built 3 models: a crude model, a model that was adjusted for age (Model 1), and a model that was adjusted for other relevant covariates (Model 2). RESULTS: For men, the average age was 61.55 ± 0.16 years in the MIAP group and 66.49 ± 0.61 years in the non-MIAP group. For women, the average age was 61.99 ± 0.14 years in the MIAP group and 70.48 ± 0.61 years in the non-MIAP group. For both sexes, the MIAP group had lower diastolic blood pressure, shorter stature, greater WC, and a greater WHtR than did the non-MIAP group, and women tended to have greater systolic blood pressure, weight, and BMI than in men. HGS was strongly associated with the risk of MIAP in the Korean population. In men, relative HGS indices combined with WC and the WHtR had greater associations with MIAP than did the anthropometric indices and absolute HGS indices. However, in women, anthropometric indices, including weight, BMI, WC, and WHtR, were more strongly associated with MIAP than were absolute and relative HGS indices, unlike in men. When comparing absolute and relative HGS indices in women, relative HGS indices combined with BMI and weight was more strongly related to MIAP than was absolute HGS indices. CONCLUSIONS: MIAP might be better identified by relative HGS than absolute HGS in both sexes. The overall magnitudes of the associations of MIAP with absolute and relative HGS are greater in men than in women.

Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in Canada.

BACKGROUND: Adolescents who experience overweight or obesity commonly persist in these conditions into adulthood, thereby elevating their vulnerability to health issues. The focus of this study is on health risk markers such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body surface area (BSA), and cardiorespiratory fitness (CRF). The objectives include updating normative values for BMI, WC, WHtR, and BSA in Canadian adolescents, establishing cardiometabolic risk zones, and developing a composite score considering both anthropometric and CRF markers. METHODS: Involving 1864 adolescents, the study used the LMS method to generate percentile norms, stratified by age and sex. Cardiometabolic risk zones were established for each marker based on Z-scores, and a composite score was created. RESULTS: An increase in WC of 5.8 and 7.4 cm for boys and girls, respectively, was observed since 1981. Forward multiple regression analyses were conducted to assess the robustness and validity of the proposed model. The results indicated that the model explained nearly 90% (R2 = 0.890) of the common variance between the composite score and the retained independent variables. Moreover, the model demonstrated a mean absolute error (MAE) of approximately 6 percentiles, confirming its high precision. Furthermore, these analyses yielded key thresholds for identifying adolescents at risk: the 70th percentile for high cardiometabolic risk and the 85th percentile for very-high risk. CONCLUSIONS: Individually, WC or WHtR seem to be better markers for evaluating cardiometabolic risk than BMI during adolescence. However, CRF showed comparable importance to anthropometric markers in determining cardiometabolic risk. The simultaneous inclusion of anthropometric and CRF markers provides a better picture of the global cardiometabolic risk in adolescents.

Dietary inflammatory impact on NAFLD development in obese vs. lean individuals: an analysis based on NHANES 2003-2018.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), often linked with obesity, can also affect individuals with normal weight, a condition known as "lean NAFLD", imposing comparable burdens and adverse effects. However, the impact of diet on lean NAFLD remains underexplored. The objective of this study is to investigate the correlation between the Dietary Inflammatory Index (DII) and NAFLD among Americans, stratified by waist-to-height ratio (WHtR) and body mass index (BMI). METHODS: Five thousand one hundred fifty-two participants from the National Health and Nutrition Examination Survey (NHANES) 2003-2018 were comprised in the final analysis. NAFLD and advanced liver fibrosis were diagnosed by serological markers. Lean and abdominal lean individuals were identified using BMI and WHtR, separately. DII was determined by assigning scores to 28 distinct food parameters based on their inflammatory potential, obtained from the NAHNES website. Differences across DII quartiles were evaluated using the Kruskal-Wallis H Test, Chi-Square Test along with One-Way ANOVA. The correlation between DII and NAFLD was determined by multiple regression models and subgroup analyses. RESULTS: Among the 5152 subjects, 2503 were diagnosed with NAFLD, including 86 cases of lean NAFLD and 8 cases of abdominal lean NAFLD. DII was positively linked with NAFLD (Odds Ratio (OR) = 1.81 [1.48-2.21], P < 0.001) and advanced liver fibrosis (OR = 1.46 [1.02-2.07], P = 0.037). Further analysis revealed that this association was primarily observed in obese or abdominal obese participants (In BMI ≥ 25.00 kg/m^2, OR = 1.56 [1.23-1.98], P < 0.001. In WHtR> 0.50, OR = 1.48 [1.23-1.79], P < 0.001.), rather than their lean counterparts. Subgroup analyses indicated that female individuals, without a diagnosis of hypertension or diabetes appeared to be more sensitive to the rise in DII. CONCLUSIONS: Our data demonstrated a significant positive correlation between DII and NAFLD in the general population. However, the impact of a pro-inflammatory diet was less prominent in lean individuals compared to obese ones.

Association between triglyceride-glucose related indices with the all-cause and cause-specific mortality among the population with metabolic syndrome.

BACKGROUND: Triglyceride-glucose (TyG) index has been determined to play a role in the onset of metabolic syndrome (MetS). Whether the TyG index and TyG with the combination of obesity indicators are associated with the clinical outcomes of the MetS population remains unknown. METHOD: Participants were extracted from multiple cycles of the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018 years. Three indicators were constructed including TyG index, TyG combining with waist circumference (TyG-WC), and TyG combining with waist-to-height ratio (TyG-WHtR). The MetS was defined according to the National Cholesterol Education Program (NCPE) Adult Treatment Panel III. Kaplan-Meier (KM) curves, restricted cubic splines (RCS), and the Cox proportional hazard model were used to evaluate the associations between TyG-related indices and mortality of the MetS population. The sensitive analyses were performed to check the robustness of the main findings. RESULTS: There were 10,734 participants with MetS included in this study, with 5,570 females and 5,164 males. The median age of the study population was 59 years old. The multivariate Cox regression analyses showed high levels of TyG-related indices were significantly associated with the all-cause mortality of MetS population [TyG index: adjustedhazard ratio (aHR): 1.36, 95%confidence interval (CI): 1.18-1.56, p < 0.001; TyG-WHtR index: aHR = 1.29, 95%CI: 1.13-1.47, p < 0.001]. Meanwhile, the TyG-WC and TyG-WHtR index were associated with cardiovascular mortality of the MetS population (TyG-WC: aHR = 1.45, 95%CI: 1.13-1.85, p = 0.004; TyG-WHtR: aHR = 1.50 95%CI: 1.17-1.92, p = 0.002). Three TyG-related indices showed consistent significant correlations with diabetes mortality (TyG: aHR = 4.06, 95%CI: 2.81-5.87, p < 0.001; TyG-WC: aHR = 2.55, 95%CI: 1.82-3.58, p < 0.001; TyG-WHtR: aHR = 2.53 95%CI: 1.81-3.54, p < 0.001). The RCS curves showed a non-linear trend between TyG and TyG-WC indices with all-cause mortality (p for nonlinearity = 0.004 and 0.001, respectively). The sensitive analyses supported the positive correlations between TyG-related indices with mortality of the MetS population. CONCLUSION: Our study highlights the clinical value of TyG-related indices in predicting the survival of the MetS population. TyG-related indices would be the surrogate biomarkers for the follow-up of the MetS population.

Predictive Ability of Hypertriglyceridemic Waist, Hypertriglyceridemic Waist-to-Height Ratio, and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents.

Objective: Hypertriglyceridemic waist (HW), hypertriglyceridemic waist-to-height ratio (HWHtR), and waist-to-hip ratio (WHR) have been shown to be indicators of cardiometabolic risk factors. However, it is not clear which indicator is more suitable for children and adolescents. We aimed to investigate the relationship between HW, HWHtR, WHR, and cardiovascular risk factors clustering to determine the best screening tools for cardiometabolic risk in children and adolescents. Methods: This was a national cross-sectional study. Anthropometric and biochemical variables were assessed in approximately 70,000 participants aged 6-18 years from seven provinces in China. Demographics, physical activity, dietary intake, and family history of chronic diseases were obtained through questionnaires. ANOVA, χ 2 and logistic regression analysis was conducted. Results: A significant sex difference was observed for HWHtR and WHR, but not for HW phenotype. The risk of cardiometabolic health risk factor clustering with HW phenotype or the HWHtR phenotype was significantly higher than that with the non-HW or non-HWHtR phenotypes among children and adolescents (HW: OR = 12.22, 95% CI: 9.54-15.67; HWHtR: OR = 9.70, 95% CI: 6.93-13.58). Compared with the HW and HWHtR phenotypes, the association between risk of cardiometabolic health risk factors (CHRF) clustering and high WHR was much weaker and not significant (WHR: OR = 1.14, 95% CI: 0.97-1.34). Conclusion: Compared with HWHtR and WHR, the HW phenotype is a more convenient indicator withhigher applicability to screen children and adolescents for cardiovascular risk factors.

Anthropometric Predictors of Health-Related Quality of Life in Obese Patients Attending a Tertiary Hospital in Nnewi, South-East Nigeria: A Cross-Sectional Study.

BACKGROUND: Obesity as a disorder with excess body fat directly decreases quality of life. While Body Mass Index (BMI) has been used largely in health studies as a measure of obesity, it is largely unable to differentiate between body fat and lean body mass, hence other anthropometric measures can be used to assess body fat. OBJECTIVE: To determine the association of anthropometric indicators with health-related quality of life (HRQoL) in obese adults. MATERIALS AND METHODS: A cross-sectional study of obese adults (BMI ≥30kg/m2) attending the general outpatient clinic was conducted over four months. The quality of life was assessed using the short form-36 (SF-36) questionnaire. The anthropometric indicators used were BMI, waist circumference (WC), waist hip ratio (WHR), and waist-height ratio (WHtR). RESULTS: Physical component summary (PCS) was significantly related to BMI, WHtR, and WC. After adjusting for co-variables (gender, age, occupation, and marital status), they remained significantly associated with PCS. Mental component summary (MCS) was significantly related to BMI, WHtR, and WC. After adjusting for the known determinants of HRQoL, only BMI remained significantly associated with MCS (P = -0.004; r = -0.146). When all the indicators were included in the same regression model, no anthropometric indicator was significantly related to MCS while only WHtR was significantly associated with PCS (P = 0.001; r = -0.465). CONCLUSION: HRQoL in obese patients is related to measures of body fat. The physical and mental components of health-related quality of life are correlated differently with the various anthropometric measures of obesity. The WHtR was found to be an independent predictor of the physical component of HRQoL.

Adiposity indices and their higher predictive value for new-onset hypertension in metabolically healthy young women: findings from a population-based prospective cohort study.

BACKGROUND AND AIMS: The present study aimed to investigate the predictive ability of selected adiposity indices, such as body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), and waist-to-height ratio (WHtR), for new-onset hypertension in metabolically healthy Taiwanese adults. The study also sought to establish sex-specific cutoff points for these indices and to analyze the risk of new-onset hypertension, taking into account sex and age. METHODS: This prospective cohort study utilized the Taiwan Biobank database to examine metabolically healthy participants aged between 20 and 65 at baseline. Four adiposity indices, namely BMI, WHR, WC, and WHtR, were calculated and used to predict new-onset hypertension over 4 years. Receiver operating characteristics (ROCs) and areas under the curve (AUCs) were used to evaluate the effectiveness of the parameters in predicting new-onset hypertension over 4 years. Sex-specific cutoff points were identified and used to assess the risk of new-onset hypertension. RESULTS: This study analyzed 13,375 participants over 4.28 years. The incidence of new-onset hypertension was 17.65%. The new-onset rate of hypertension was 34.39% in men and 65.61% in women. Adiposity indices effectively predict new-onset hypertension, with WHtR having the highest predictive value (i.e., AUC) for both sexes. The classification of participants into low and high categories for each adiposity index was based on sex-specific cutoff points, and the risk of new-onset hypertension was assessed according to sex and age. This study found that high adiposity indices predicted a significantly higher risk of new-onset hypertension in metabolically healthy adults. The risk was equal for both sexes. Young women had a higher risk of new-onset hypertension than middle-aged women when they were further categorized. All risk ratios of the indices in young women were over two-fold and significant. CONCLUSION: According to the sex-specific cutoff point, high adiposity indices had a higher predictive value for new-onset hypertension in metabolically healthy Taiwanese young women.

Comparison between general obesity and abdominal adiposity to estimate cardiovascular disease prevalence in individuals with chronic kidney disease: results from NHANES 2005-2016.

Abdominal obesity, regardless of overall obesity, is associated with metabolic abnormalities and with direct impact on cardiovascular risk. The aim of this study was to compare body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) to estimate cardiovascular disease (CVD) prevalence in individuals with chronic kidney disease (CKD). The data analyzed is from 2005-2016 cycles of the NHANES. A total of 2,825 participants with CKD were included in this study, and most of them had a high BMI, 66.1%, to be exact (BMI ≥ 25.0 kg/m² if age <65 or >27.0 if age ≥ 65). The prevalence rates of high WC (≥102 cm for men or ≥88 cm for women) and high WHtR (WHtR>0.5) in the study population were 70.0% and 91.0%, respectively. The results of this study suggest that BMI is a good indicator of the risk of CVDs in individuals with CKD. In addition, the results show that WC and WHtR are associated with CVDs in non-overweight individuals of both sexes. These results indicate that the assessment of abdominal fat is essential even in non-overweight patients because the risk of CVDs cannot be identified in this subpopulation using only BMI.

Role of Anthropometric Indices in the Prediction of Non-alcoholic Fatty Liver Disease in a Rural Population of Bangladesh.

Non-alcoholic fatty liver disease (NAFLD) is found in one-fourth of the world population and its prevalence is rising. Screening of NAFLD in general population with ultrasonography (USG) is not a cost- effective approach. Alternative methods for prediction of NAFLD are needed. We conducted this study to assess whether basal metabolic index (BMI), waist circumference (WC), waist height ratio (WHtR) is useful for predicting NAFLD. This study was done in a village of Comilla District, Bangladesh from July 2019 to December 2019. Two hundred and nineteen (219) subjects with NAFLD detected on USG and 100 healthy controls without NAFLD were included in this study. The diagnosis of NAFLD was made on the basis of USG by a radiologist. BMI, WC, WHtR were calculated. The area under the curve (AUC) in the receiver operating characteristic (ROC) was calculated to assess the diagnostic ability of BMI, WC, and WHtR for predicting NAFLD. Sensitivity and specificity with optimal cut-off point was calculated. Data were entered into SPSS16for statistical analysis. Mean age in NAFLD group was 45.11±13.50 years. The AUROC values were 0.832, 0.763 and 0.771 for BMI, WC and WHtR respectively. The Cut-off values were 24.4 for BMI, 75.60 for WC and 0.54 for WHtR. Sensitivity and specificity were 80.24%and 79.12% for BMI, 82.34% and 80.45% for WC, 79.56% and 78.98% for WHtR respectively. ROC for BMI, WC and WHtR were above the diagonal line with high sensitivity and specificity. BMI, waist circumference, waist height ratio is useful for predicting NAFLD in rural Bangladeshi population. We can use these simple anthropometric indices as a screening tool for detection of NAFLD in primary health care set up.

Association of changes in waist circumference, waist-to-height ratio and weight-adjusted-waist index with multimorbidity among older Chinese adults: results from the Chinese longitudinal healthy longevity survey (CLHLS).

BACKGROUND: The association of changes in waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted-waist index (WWI) with subsequent risk of multimorbidity remains unclear among older Chinese adults. Therefore, we aimed to assess this association by utilizing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). METHODS: Our study was based on the 2011/2012 wave of the CLHLS whose follow-up surveys were conducted in 2014 and 2017/2018. A total of 2900 participants aged 65 and above at baseline were enrolled. WC, WHtR, and WWI were calculated from measured height, weight, and waist circumference. Multimorbidity refers to the coexistence of two or more of 18 chronic diseases. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95%CIs) to evaluate the effect of three-year changes in WC, WHtR, and WWI on the risk of multimorbidity. RESULTS: During a mean follow-up time of 4.2 (2.0) years, 906 multimorbidity cases were identified. Compared to participants in the persistently low WC group, those in the WC gain group and the persistently high WC group had a higher multimorbidity risk with adjusted HRs (95%CI) of 1.23 (1.01-1.50) and 1.34(1.14-1.58), respectively. Participants in the WHtR gain group and the persistently high WHtR group also had higher risks of multimorbidity with HRs (95%CI) of 1.35 (1.08-1.67) and 1.27 (1.05-1.53), respectively, relative to the persistently low WHtR group. Compared to the persistently low WWI group, those in the WWI loss group had a lower risk of multimorbidity with HRs (95%CI) of 0.80 (0.66-0.98). For every standard deviation increase in WC, WHtR, and WWI over three years, the risk of multimorbidity was higher by 12% (95%CI: 1.05-1.19), 13% (95%CI: 1.06-1.20), and 12% (95%CI: 1.05-1.20), respectively. CONCLUSIONS: Associations of changes in WC, WHtR and WWI with multimorbidity are significant among older Chinese adults. The findings highlight the importance of evaluating changes in WC, WHtR, and WWI in screening and prevention of multimorbidity in older adults.

Evaluating the performance of a novel anthropometric index: weight adjusted for waist-to-height ratio (W-WHR) - for predicting cardiometabolic risk among adults in Addis Ababa.

OBJECTIVE: Various anthropometric indices had been proposed to predict cardiometabolic risk, yet few were validated in the African population. We evaluated the diagnostic accuracy of a novel anthropometric index-weight adjusted for waist-to-height ratio (W-WHR)-as a predictor of cardiometabolic risk among adults 18-64 years in Addis Ababa, Ethiopia; and compared its performance with other indices commonly used in the literature. DESIGN: Cross-sectional study. SETTING: Community-based study in Addis Ababa, Ethiopia. PARTICIPANTS: Randomly selected adults (n=600) completed serum lipid, blood pressure, blood glucose and anthropometric measurements. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes of interest were dyslipidaemia, hypertension and hyperglycaemia. Having at least one of the three outcomes was considered as a secondary outcome. Receiver-operating characteristic curve (ROC) used to measure the diagnostic accuracy of W-WHR and another 13 indices for predicting the primary and secondary outcomes. Optimal thresholds were determined using Youden's index. RESULTS: W-WHR demonstrated an acceptable diagnostic accuracy (area under the curve (AUC), 95% CI) for correctly classifying dyslipidaemia (0.80, 0.76 to 0.84), hypertension (0.74, 0.70 to 0.78), hyperglycaemia (0.76, 0.70 to 0.82) and the secondary outcome of interest (0.79, 0.75 to 0.83). Depending on the outcomes, thresholds between 32.6 and 36.7 concurrently maximised sensitivity and specificity of the index. ROC analysis indicated, W-WHR (AUC=0.80), abdominal volume index (AVI) (AUC=0.78) and waist circumference (WC) (AUC=0.78) for dyslipidaemia; W-WHR (AUC=0.74) and WC (AUC=0.74) for hypertension; and waist-to-height ratio (AUC=0.80) and body roundness index (AUC=0.80) for hyperglycaemia, had the highest diagnostic accuracy. Likewise, W-WHR (AUC=0.79), AVI (AUC=0.78) and WC (AUC=0.78) had better performance for the secondary outcome. Most indices have better utility among younger than older adults, and per cent body fat had the highest diagnostic accuracy among women (AUC 0.74-0.83). CONCLUSION: W-WHR is a useful index for predicting cardiometabolic risk, especially among young adults.

Rotating shift work time is directly associated with excess body adiposity.

OBJECTIVE: To analyze the association between changes in body adiposity and length of service on a schedule of rotating shifts. METHODS: The study was a cross-sectional investigation conducted during the years 2012, 2015, and 2018, involving individuals engaged in rotating shifts at a company involved in iron ore extraction situated within the Iron Quadrangle region of Minas Gerais and the southeastern region of Pará, Brazil. Sociodemographic and behavioral data were collected along with anthropometric parameters in order to calculate body mass index (BMI) and the waist-to-height ratio (WHtR). For data analysis, a multivariate logistic regression was employed to explore potential associations between indicators of body adiposity and the duration of shift work, employing a hierarchical determination model. RESULTS: The findings showed that in the multivariate model, controlling for confounding factors, workers with 5 to 10, 10 to 15, and more than 15 years of shift work had 41 to 96% greater odds of being overweight (BMI > 25.0 kg/m2), 71 to 82% of having altered neck circumference (> 40 cm), 33 to 120% of altered WC (>102 cm), and 57 to 214% of having altered WHtR (> 0.5 cm). CONCLUSION: The findings suggest that time spent in work has a significant effect on anthropometric indicators of body adiposity, especially if the worker has a previously established comorbidity such as dyslipidemia or hypertension and is frequently exposed to night work.

Anthropometric measures and obstructive sleep apnea in children and adolescents: a systematic review of the literature and meta-analysis.

BACKGROUND: Anthropometric measurements can be used to identify children at risk of developing obstructive sleep apnea (OSA). The study aimed to assess which anthropometric measurements (AMs) are most associated with an increased predisposition to develop OSA in healthy children and adolescents. METHODS: We performed a systematic review (PROSPERO #CRD42022310572) that searched eight databases and gray literature. RESULTS: In eight studies with low-to-high risk of bias, investigators reported the following AMs: body mass index (BMI), neck circumference, hip circumference, waist-to-hip ratio, neck-to-waist ratio, waist circumference, waist-to-height ratio, and facial AMs. The meta-analysis showed that the OSA group had an average of 1.00 cm greater for the neck circumference (p < 0.001; Cohen's d = 2.26 [0.72, 5.23]), 3.07 cm greater for the waist circumference (p = 0.030; Cohen's d = 0.28 [0.02, 0.53]), 3.96 cm greater for the hip circumference (p = 0.040; Cohen's d = 0.28 [0.02, 0.55]), 5.21° greater for the cervicomental angle (p = 0.020; Cohen's d = 0.31 [0.03, 0.59]), and 1.23° greater for maxillary-mandibular relationship angle (p < 0.001; Cohen's d = 0.47 [0.22, 0.72]) than the control group. The mandibular depth angle had a reduction of 1.86° (p = 0.001; Cohen's d = -0.36° [-0.65, -0.08]) in control than in patients with OSA. The BMI (p = 0.180), waist-to-hip ratio (p = 0.280), neck-to-waist ratio (p = 0.070), maxillary depth angle (p = 0.250), and upper/lower face height ratio (p = 0.070) showed no significant differences between groups. CONCLUSIONS: Compared to the control group, the OSA group exhibited a greater mean difference in neck circumference, the only anthropometric measurement with high certainty of evidence.

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

BACKGROUND: 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. METHODS: 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). RESULTS: 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). CONCLUSION: 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.

Degree of association between the body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI) and conicity index (CI) in physically active older adults.

BACKGROUND: Aging is the main factor in the eventual development of cardiovascular disease (CVD) the prevalence of which is increasing progressively along with life expectancy. Therefore, it is essential to identify the most effective indicators for predicting the possible development of CVD. Anthropometric indices provide useful information for CVD risk evaluation. These are widely used for the simplicity of their estimates and their high correlation in the positive identification of CVD. The most used in the general population are the body mass index (BMI), the waist to hip ratio (WHR) and waist to height ratio (WHtR), body adiposity index (BAI) and conicity index (CI). However, the behavior and association of such indices in physically active people over 65 years of age is not well established. PURPOSE: To analyze the behavior and association of the BMI, WHR, WHtR, BAI and CI in a group of active people over 65 years of age. METHODS: A group of 608 European participants with a mean age of 68.05 ± 5.43yrs, composed of 74.2% female and 28.5% male, was randomly selected and evaluated for anthropometric parameters and body composition by a bio-impedance measuring device with four electrode sensor systems. A descriptive analysis was completed via measures of central tendency (mean and standard deviation) and percentage analysis. As the distribution of the sample was normal (parametric), an association analysis was carried out through the Pearson correlation coefficient (r), in order to determine the relationship between anthropometric and body composition indices. A P value of <0.05 was considered to indicate statistical significance. RESULTS: The results show that BMI, BAI and WHtR are significantly related to % body fat (Fat %), with BMI reaching the highest correlation (r = 0.612), followed by BAI (r = 0.556) and WHtR (r = 0.521). When the association between indices is considered, the WHtR and BAI and WHtR and BMI are those with the highest significant correlation (r = 0.981 and r = 0,789, respectively). As for the effects of gender, good to strong correlations were found between the BMI and the WHtR (r = 0.731 for female, r = 0.568 for male) and between the WHtR and the BAI (r = 0.989 for female, r = 0.985 for male). CONCLUSION: The most accurate anthropometric index for indicating the level of body fat present in an active population of 65 years of age or over seems to be the BMI, followed by the BAI and WHtR. However, the degree of association between body fat and anthropometric parameters seems to be conditioned by gender.

The value of waist circumference as a preditor of cardiovascular risk in adult patients with classic phenylketonuria / Valor del perímetro cintura en la predicción del riesgo cardiovascular en pacientes adultos con fenilcetonuria clásica

Background and aims We aimed to evaluate the differences in some cardiovascular risk (CVR) factors between adult patients without and with phenylketonuria (PKU) and to explore the correlation between waist circumference (WC) and body mass index (BMI) with the previous variables. Methods This was an observational case–control study that included patients older than 18 years with a diagnosis of classic PKU. The controls were age- and sex-matched individuals. We collected demographic, epidemiological, clinical, and laboratory variables, including WC, BMI, and lipid profile parameters. Results A total of 72 patients (25 controls and 47 cases) were included with a mean age of 36 years, of which 45 (62%) were women. Adult PKU patients showed lower high-density lipoprotein cholesterol (HDL-c) and higher triglyceride (TG) levels than the control group. We found an association between WC and uric acid (B=0.024, P=0.013, 95%CI: 0.005–0.043), TG (B=0.768, P=0.024, 95%CI: 0.107–1.428), and HDL-c (B=−0.254, P=0.026, 95%CI: −0.477 to (−0.032)) levels in PKU patients. However, we did not find any trend between WC and uric acid, TG and HDL-c levels that reached statistical significance (P<0.05) in patients without PKU. Conclusions Waist circumference rather than BMI may better represent the CVR in patients with PKU (AU)

Introducción y objetivos Nuestro objetivo fue evaluar las diferencias en algunos factores de riesgo cardiovascular entre pacientes adultos sin y con fenilcetonuria (FCU) y explorar la correlación del perímetro cintura (PC) e índice de masa corporal (IMC) con las variables previas. Métodos Fue un estudio de casos y controles que incluyó pacientes mayores de 18 años con diagnóstico de FCU clásica. Los controles fueron individuos emparejados por edad y sexo. Se recogieron variables demográficas, epidemiológicas, clínicas y de laboratorio, destacando PC, IMC y parámetros del perfil lipídico. Resultados Se reclutaron 72 pacientes (25 controles y 47 casos) con una edad media de 36 años (62% mujeres). Respecto al grupo control, los pacientes adultos con FCU mostraron niveles más bajos de colesterol de lipoproteínas de alta densidad (HDL-c) y más altos de triglicéridos. En los pacientes con FCU, PC se asoció con los niveles de ácido úrico (B=0,024, P=0,013, 95% CI: 0,005-0,043), triglicéridos (B=0,768, P=0,024, 95% CI: 0,107-1.428) y HDL-c (B=−0,254, P=0,026, 95% CI: −0,477–[−0,032]). Sin embargo, no encontramos ninguna tendencia entre WC y dichas variables que alcanzara significación estadística en los pacientes sin FCU. Aunque observamos una buena correlación entre el IMC y PC en pacientes sin y con FCU, el aumento de PC por unidad de aumento de IMC podría ser mayor en estos últimos. Conclusiones Perímetro de cintura podría representar mejor que IMC el riesgo cardiovascular en pacientes con FCU (AU)

Relación entre la Temperatura de Superficie, la Composición Corporal e Indicadores Antropométricos de Obesidad y Sobrepeso / Relationship Between Surface Temperature, Body Composition and Anthropometric Indicators of Obesity and Overweight

La termografía por infrarrojo (TI) permite evaluar la temperatura corporal, medir los cambios en la disipación del calor corporal en superficie y relacionarlos con las características de composición corporal e índices antropométricos. Aumentar el número de registros de zonas corporales evaluadas con TI y establecer las relaciones de estas temperaturas (32 áreas corporales) con variables de composición corporal e índices antropométricos, como el índice de masa corporal (IMC), índice cintura cadera, índice cintura estatura, en hombres adultos divididos según su estado ponderal. Participaron 60 hombres, adultos sanos, divididos en 2 grupos: grupo 1 (n=30), con IMC ≤ 24,9, edad 23,2 ± 3,9 años, masa corporal 66,5 ± 6,5 kg, y talla 170,5 ± 7,4 cm; y, grupo 2 (n= 30), con IMC > 24,9, edad 29,4 ± 9,9 años, masa corporal 84,5 ± 11,9 kg, y talla 172,0 ± 7,18 cm. Se realizaron evaluaciones antropométricas y de TI. Sujetos con IMC ≤ 24,9 kg/ m2 presentaron valores mayores de temperatura superficial, en todas las zonas estudiadas, a diferencia de los sujetos con niveles de IMC > 24,9 kg/m2, donde la disipación del calor corporal fue menor. Existe una estrecha relación entre la temperatura superficial de la piel y el IMC, donde sujetos con un IMC normal mostraron una disipación de calor y valores de temperatura superficial mayores, en todas las zonas evaluadas, a diferencia de los sujetos con un IMC que se encontraba por encima del límite de normalidad.

SUMMARY: Infrared thermography (IT) makes it possible to assess body temperature, measure changes in body heat dissipation on the surface, and relate them to body composition characteristics and anthropometric indices. The objective of this study was to increase the number of records of body areas evaluated with IT and establish the relationships of these temperatures (32 body areas) with body composition variables and anthropometric indices, such as body mass index (BMI), waist-hip ratio, waist-height ratio, in adult men divided according to their weight status. A total of 60 healthy adult men participated, divided into 2 groups: group 1 (n=30), with a body mass index (BMI) ≤ 24.9, age 23.2 ± 3.9 years, body mass 66.5 ± 6.5 kg, and height 170.5 ± 7.4 cm; and, group 2 (n = 30), with BMI > 24.9, age 29.4 ± 9.9 years, body mass 84.5 ± 11.9 kg, and height 172.0 ± 7.18 cm. Anthropometric and IT assessments were performed. Subjects with BMI ≤ 24.9 kg/ m2 presented higher values of surface temperature in all areas studied, unlike subjects with BMI levels > 24.9 kg/m2, where body heat dissipation was lower. There is a close relationship between skin surface temperature and BMI, where subjects with a normal BMI showed higher heat dissipation and surface temperature values, in all evaluated areas, unlike subjects with a BMI that was above the normal limit.

Relación entre Índices Antropométricos de Obesidad y Condición Física en Escolares de 9 a 14 Años de la Región de Valparaíso, Chile / Relationship Between Anthropometric Indices of Obesity and Physical Condition in Schoolchildren Aged 9 to 14 Years From the Valparaíso Region, Chile

Los objetivos de este estudio fueron 1) describir factores antropométricos asociados a la obesidad y pruebas de condición física junto con 2) determinar la correlación entre estas variables en un grupo de escolares provenientes de la región de Valparaíso. Participaron un total de 109 escolares divididos por sexo y por grupos de edad. Los escolares fueron divididos en dos grupos entre 9 a 11 años (24 hombres= 47,98 ± 10,4 kg; 145,73 ± 7,3 cm; 25 mujeres= 45,06 ± 11,1 kg; 145,30 ± 6,6 cm) y entre 12 a 14 años (24 hombres= 54,85 ± 13,2 kg; 158,42 ± 8,8 cm; 36 mujeres= 52,21 ± 9,1 kg; 155,36 ± 6,1 cm). Se realizaron evaluaciones de la condición física utilizadas en el proceso de evaluación del Sistema de Medición de la Calidad de la Educación (SIMCE) de educación física para escolares chilenos. Estas evaluaciones incluyeron parámetros de flexibilidad, carrera, salto horizontal, y resistencia muscular. Junto con esto, se evaluaron variables antropométricas como peso, estatura y perímetro de cintura para establecer índices antropométricos de obesidad como el índice de masa corporal (IMC), el perímetro de cintura (PC) y el índice de cintura estatura (ICE). Se encontraron diferencias significativas entre los grupos de hombres de los diferentes grupos de edad en las pruebas de condición física, resistencia muscular abdominal (p = 0,001), salto horizontal (p = 0,002) y prueba de carrera (p = 0,003). Entre los grupos de mujeres se encontraron diferencias significativas en las variables de condición física, salto horizontal (p = 0,002) y carrera (p = 0,003). Tanto en hombres como en mujeres del grupo de 9 a 11 años se encontraron correlaciones significativas entre las variables antropométricas con pruebas de salto horizontal y capacidad de carrera (p = 0,03, r = -0,42 - 0,83, moderado a muy fuerte). En este mismo grupo solo las mujeres presentaron una correlación significativa entre parámetros antropométricos y la prueba de resistencia muscular en flexo extensiones de codo (p < 0,05, r = -0,42 - -0,52, moderado a fuerte) y abdominales (p < 0,05, r = -0,57 - -0,60, fuerte). Para el grupo entre 12 y 14 años se obtuvieron correlaciones negativas entre el ICE y la prueba de carrera en hombres (p < 0,016, r = -0,48, moderado), PC y la prueba de carrera en mujeres (p < 0,011, r = -0,41, moderado). Sólo en mujeres fue posible encontrar correlaciones significativas entre PC, IMC e ICE con salto horizontal (p < 0,05, r = 0,38 - 0,48, moderado). Los resultados sugieren una correlación negativa entre parámetros antropométricos de exceso de peso corporal y el rendimiento en pruebas físicas, siendo en el grupo de mayor edad las mujeres quienes presentan mayor cantidad de correlaciones significativas entre variables. Estos datos refuerzan la importancia de incluir abordajes integrales en las clases de educación física considerando estilos de vida activos y saludables en conjunto con la promoción de la actividad física.

SUMMARY: The objectives of this study were 1) to describe anthropometric factors associated with obesity and physical fitness tests and 2) to determine the correlation between these variables in a group of schoolchildren from the Valparaíso region. A total of 109 schoolchildren divided by sex and age groups participated. The schoolchildren were divided into two groups between 9 to 11 years (24 males = 47,98 ± 10,4 kg; 145,73 ± 7,3 cm; 25 females = 45,06 ± 11,1 kg; 145,30 ± 6,6 cm) and between 12 to 14 years (24 males = 54,85 ± 13,2 kg; 158,42 ± 8,8 cm; 36 females = 52,21 ± 9,1 kg; 155,36 ± 6,1 cm). Physical fitness assessments used by the Sistema de Medición de la Calidad de la Educación (SIMCE) evaluation process for physical education for Chilean schoolchildren were performed. These assessments included flexibility, sprint capacity, horizontal jump, and muscular endurance parameters. In addition, anthropometric variables such as weight, height and waist circumference were evaluated to establish anthropometric indices of obesity such as body mass index (BMI), waist circumference (WC) and waist-height index (WHI). Significant differences were found between the groups of men in the different age groups in the physical fitness tests, abdominal muscular endurance (p = 0.001), horizontal jump (p = 0.002), sprint test (p = 0.003) and the anthropometric index BMI (p = 0.048). Among the female groups, significant differences were only found in the physical condition variables, horizontal jump (p = 0.002) and sprint (p = 0.003). In both males and females in the 9- to 11- year-old group, significant correlations were found between anthropometric variables and tests of horizontal jumping and sprint ability (p = 0.03, r = -0.42 - 0.83, moderate to very high). In this same group, only females presented a significant correlation between anthropometric parameters and muscular endurance tests in elbow flexion (p < 0.05, r = -0.42 - -0.52, moderate to high) and abdominals (p < 0.05, r = -0.57 - -0.60, high). For the group between 12 and 14 years, negative correlations were obtained between WHI and the sprint test in males (p < 0.016, r = -0.48, moderate), WC and the sprint test in females (p < 0.011, r = -0.41, moderate). Only in women was it possible to find significant correlations between WC, BMI and ICE with a horizontal jump (p < 0.05, r = 0.38 - 0.48, moderate). The results suggest a negative correlation between anthropometric parameters of excess body weight and performance on physical tests, with women in the older age group presenting the highest number of significant correlations between variables. These data reinforce the importance of including integral approaches in physical education classes that consider active and healthy lifestyles together with the promotion of physical activity.

Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6-18 years.

BACKGROUND: Waist-to-height ratio (WHtR) has been proposed as a simple and effective screening tool for assessing central obesity and cardiometabolic risk in both adult and pediatric populations. However, evidence suggests that the use of a uniform WHtR cut-off of 0.50 may not be universally optimal for pediatric populations globally. We aimed to determine the optimal cut-offs of WHtR in children and adolescents with increased cardiometabolic risk across different countries worldwide. METHODS: We used ten population-based cross-sectional data on 24,605 children and adolescents aged 6-18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. We performed an external independent test (9,619 children and adolescents aged 6-18 years who came from other six countries) to validate the optimal WHtR cut-offs based on the predicting performance for at least two or three cardiometabolic risk factors. RESULTS: Based on receiver operator characteristic curve analyses of various WHtR cut-offs to discriminate those with ≥ 2 cardiometabolic risk factors, the relatively optimal percentile cut-offs of WHtR in the normal weight subsample population in each country did not always coincide with a single fixed percentile, but varied from the 75th to 95th percentiles across the ten countries. However, these relatively optimal percentile values tended to cluster irrespective of sex, metabolic syndrome (MetS) criteria used, and WC measurement position. In general, using ≥ 2 cardiometabolic risk factors as the predictive outcome, the relatively optimal WHtR cut-off was around 0.50 in European and the US youths but was lower, around 0.46, in Asian, African, and South American youths. Secondary analyses that directly tested WHtR values ranging from 0.42 to 0.56 at 0.01 increments largely confirmed the results of the main analyses. In addition, the proposed cut-offs of 0.50 and 0.46 for two specific pediatric populations, respectively, showed a good performance in predicting ≥ 2 or ≥ 3 cardiometabolic risk factors in external independent test populations from six countries (Brazil, China, Germany, Italy, Korea, and the USA). CONCLUSIONS: The proposed international WHtR cut-offs are easy and useful to identify central obesity and cardiometabolic risk in children and adolescents globally, thus allowing international comparison across populations.