Waist-height Ratio Research Articles

Irregular meal pattern and later sleep midpoint are associated with increased BMI z-score and waist–height ratio during early adolescence

BackgroundRapid gains in adiposity may have more adverse health implications in later life compared with having stable adiposity throughout childhood and adolescence. A knowledge gap concerns concomitant health behaviors contributing to adiposity gain among adolescents.ObjectivesWe investigated the associations of health behaviors relating to dietary habits, sleep, physical activity (PA), and screen time with an increase in body mass index z-score (BMIz) and waist–height ratio (WHtR) during adolescence.MethodsWe included 4,785 adolescents (53% of girls) aged 11.1 (SD 0.8) years at baseline and followed them for 3 years. We clustered them into decreased, stable, and increased BMIz and WHtR categories using the K-means clustering method. Using Cox regression, we computed hazard ratios (HR) with 95% CI for the associations of self-reported health behaviors (dietary habits, physical activity, sleep midpoint, and sedentary digital media use) with belonging to an increased BMIz or WHtR group. In a subsample (n = 3,840), we ran a sensitivity analysis considering puberty status as an additional covariate.ResultsLater sleep midpoint (having later midpoint of sleep between bedtime and waking time) and irregular meal pattern (not eating lunch and dinner every school day) predicted increased BMIz (HR 1.26 [95% CI 1.13–1.41] and 1.23 [1.08–1.39], respectively) and WHtR (1.23 [1.09–1.39] and 1.18 [1.02–1.36], respectively) over the follow-up period, after adjusting for other health behaviors. Associations remained after considering puberty status as a covariate.ConclusionsEarly bedtime with adequate sleep duration and regular meal pattern should be encouraged to prevent adiposity gain during early adolescence.

Associations between Chinese Visceral Adiposity Index and incident stroke among community populations in Pudong New Area, Shanghai

BackgroundTo analyze the relationship between Chinese Visceral Adiposity Index (CVAI) and stroke in Pudong New Area, and to provide a scientific basis for the prevention and treatment of this condition. Materials and MethodsBased on the Follow-up Cohort Program of Chronic Disease Risk Factors in Pudong New Area, a total of 7,194 residents from 12 townships and 35 village committees or neighborhood committees were selected. The cohort data in 2016 served as the baseline, and a follow-up was conducted on 5462 individuals from 2019 to 2020. ResultsIn the analysis of stroke incidence, 5,462 subjects were included, with 616 stroke events recorded. The incidence density of stroke was 33.41 per 1000 person-years, while the China standard rate and the world standard rate were 13.78 and 12.52 per 1000 person-years, respectively. The incidence density of stroke rose with increasing quartiles of CVAI. After adjusting for potential confounders, the risk of stroke for males and females with CVAI ≥ 132.11 was 2.492 times (95% CI: 1.457 ∼ 4.260) and 1.759 times (95% CI: 1.070-2.891), respectively, compared to the groups with CVAI < 81.91. Among the eight obesity indicators, including CVAI, Visceral Adiposity Index (VAI), Body Mass Index (BMI), Waist Circumference (WC), Waist Hip Ratio (WHR), Waist Height Ratio (WHtR), Body Adiposity Index (BAI), A Body Shape Index (ABSI),and Body Roundness Index (BRI), CVAI has the highest diagnostic accuracy for female stroke using Receiver Operator Characteristic (ROC) curves (the Area under the ROC curve/AUC = 0.619). Subgroup analysis showed that smoking and dyslipidemia significantly modified the association between CVAI and stroke risk in females (interaction P < 0.05). ConclusionsCVAI is identified as a significant risk factor for stroke and serves as a valuable predictor of stroke, particularly in females.

Association between night blindness history and risk of diabetes in the Chinese population: a multi-center, cross sectional study

AimsNight blindness (NB), an important manifestation of VA deficiency, may be associated with the odds of diabetes. The aim of this study was to explore the probable association between NB history and diabetes in Chinese community-dwelling adults.MethodsThis multi-center, cross-sectional study enrolled a total of 5664 participants aged 18–82 years from eight sites in China. Information on demographics and medical history was collected using a standardized questionnaire. Diabetes was diagnosed based on the oral glucose tolerance test or a self-reported history. NB history was ascertained by a face-to-face interview with reference to the recommendation by the World Health Organization. Logistic regression analysis was used to evaluate the association between NB history and the odds of diabetes.ResultsA total of 5049 participants were finally included, with 252 ascertained with NB history and 1076 with diabetes. The mean age of included participants was 52.9 years, and the percentage of participants with NB history was significantly higher in participants with diabetes than those without (7.0% vs. 4.5%). The multivariable adjusted odds ratio for diabetes was 1.41 (95% confidence interval 1.06, 1.89) in participants with NB history compared with those without. Furthermore, mediation analysis showed that obesity, as assessed by waist-height ratio, partially mediated the relationship between NB history and increased odds of diabetes.ConclusionsThe results suggest that NB history might be associated with increased odds of diabetes in Chinese community-dwelling adults.

Lipids as the link between central obesity and diabetes: perspectives from mediation analysis

BackgroundCentral obesity is a well-recognized risk factor for diabetes, yet the potential role of lipids in the diabetes risk associated with central obesity remains unclear. This study aimed to explore the possible mediating role of 11 lipid parameters [high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), non-high-density lipoprotein cholesterol (Non-HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), remnant cholesterol (RC), and ratios of Non-HDL-C/HDL-C, RC/HDL-C, LDL/HDL-C, TG/HDL-C, TC/HDL-C] in the association of central obesity with diabetes risk.MethodsWe utilized data from 15,453 participants in the NAGALA longitudinal cohort to assess the association of baseline central obesity indicators [waist-height ratio (WHtR), waist circumference (WC)] and the 11 lipid parameters with diabetes risk. Mediation analysis models were constructed to explore the mediating role of lipid parameters in the association of WC/WHtR with diabetes.ResultsConfirmatory associative analysis using multivariable Cox regression showed that, except for Non-HDL-C, TC and LD-C, the remaining eight lipid parameters were significantly associated with WC/WHtR and diabetes risk. Mediation analysis indicated that TG, RC, HDL-C, and lipid ratios such as Non-HDL-C/HDL-C ratio, RC/HDL-C ratio, TG/HDL-C ratio, TC/HDL-C ratio and LDL/HDL-C ratio are potential lipids affecting the diabetes risk related to central obesity. Among these, the RC/HDL-C ratio seemed to contribute the most in the WC/WHtR-related diabetes risk association, with a mediation percentage of about 37%. Additionally, lipid ratio parameters appeared to play a more mediating role in the association of central obesity-related diabetes risk than individual lipids.ConclusionsIn central obesity-related diabetes risk, most lipids, especially lipid ratio parameters, play a significant mediating role. Given these findings, we advocate for increased efforts in multifactorial risk monitoring and joint management of diabetes. The evaluation of lipids, particularly lipid ratio parameters, may be holds substantial value in the prevention and management of diabetes risk under close monitoring of central obesity.

Waist-height ratio highlights detrimental risk for olanzapine associated weight gain earlier than body mass index.

The objective of the current study was to compare the level of sensitivity of body mass index (BMI) or waist-height ratio (WHtR) in identifying physically determinable adiposity levels that are considered to be landmarks for commencing intervention to prevent more sinister cardio-metabolic risks among schizophrenia patients receiving olanzapine. The study was a descriptive crossectional one among patients with schizophrenia recieving olanzapine and healthy volunteers as controls. Key measurement of anthropological parameters were compared between the population. Our findings revealed significantly higher rates of abnormal body mass index (BMI) (X2=17.06, p=0.000036; OR=4.58, CI=2.16-9.74) and abnormal waist-height ratio (WHtR) (X2=35.57, p=2.46E-9; OR=6.37, CI=3.39-12.00) among the schizophrenia patients compared to the healthy volunteers. Notably, BMI identified 43.3 % of the schizophrenia patients as having concerning weight changes, whereas WHtR identified 64.7 %, indicating that WHtR is a more sensitive measure. This discrepancy means that an additional 21.4 % of schizophrenia patients would benefit from weight management guidance based on WHtR rather than BMI. Our results underscore the critical importance of WHtR in assessing adiposity among schizophrenia patients treated with olanzapine, highlighting its value as a tool for monitoring and managing cardiometabolic risks in this population.

7190 Serum uric acid and serum uric acid-to-creatinine ratio and its association with metabolic syndrome in Korean adolescents: the nation-wide population-based study

Abstract Disclosure: S. Jung: None. J. Kim: None. S. Kim: None. Backgrounds: As the prevalence of obesity and metabolic syndrome (MetS) among the pediatric population continues to rise, it is crucial to identify the factors associated with cardiometabolic risk factors (CMRFs) to prevent the future development of diabetes and cardiovascular disease. Elevated serum uric acid (SUA) and SUA-to-creatine ratio (SUA/Cr) levels are associated with MetS, CMRFs, and non-alcoholic fatty liver disease (NAFLD) in adults. However, studies on the usefulness of SUA or SUA/Cr to predict MetS in adolescents were sparse. The aim of this study is to investigate the association between SUA or SUA/Cr level and MetS and CMRFs among Korean adolescents. Material/Methods: Data collected from the Korea National Health and Nutrition Examination Survey between 2016 and 2021, which was nationally representative cross-sectional data, were used. A total of 2,218 subjects (1,185 males, 54.0%) aged 13-18 years were included in this study. They were classified into tertiles of SUA or SUA/Cr levels (T1, lower tertile; T2, mid-tertile; and T3, upper tertile) according to sex. The prevalence of MetS and CMRFs, including alanine aminotransferase (ALT), was compared by tertiles of SUA. Results: The mean SUA and SUA/Cr was higher in males than females (6.37 ± 0.04 mg/dL and 4.66 ± 0.06 mg/dL, P &amp;lt; 0.001 for SUA; 7.90 ± 0.07 mg/dL and 7.30 ± 0.06 mg/dL, P &amp;lt; 0.001 for SUA/Cr). Z-scores of body mass index, waist circumference, waist-height ratio, levels of total cholesterol, triglyceride, and ALT were significantly higher in T3 of SUA and SUA/Cr in both sexes, while high-density lipoprotein cholesterol (HDL-C) was lower. In T3 of SUA and SUA/Cr, the prevalence and odds ratio (95% confidence interval) increased significantly in abdominal obesity [34.5%, 5.5 (4.0, 7.7) vs. 31.3%, 5.3 (3.7, 7.6)], elevated blood pressure [19.5%, 2.1 (1.5, 2.9) vs. 16.3% 1.6 (1.1, 2.2)], elevated triglyceride [29.5%, 2.1 (1.5, 2.8) vs. 27.9%, 2.1 (1.6, 2.8)], low HDL-C [22.5%, 3.4 (2.4, 5.0) vs. 20.2%, 2.6 (1.8, 3.9)], elevated ALT [31.5%, 5.7 (3.8, 8.6) vs. 19.1% 4.9 (3.2, 7.6)], obesity [33.6%, 7.6 (5.2, 11.2) vs. 25.9%, 6.0 (3.9, 9.1)] and MetS [13.7%, 7.4 (4.3, 13.0) vs. 10.8%, 6.8 (3.9, 9.1)], compared with T1 of SUA and SUA/Cr, respectively. In the receiver operating characteristic curve analysis, the area under the curve of predicting MetS was 0.681 for males and 0.823 for females using SUA and 0.653 for males and 0.840 for females using SUA/Cr. The proportion of participants with ≥ 3 CMRFs was 2.1% in T1, 3.5% in T2, and 13.7% in T3 in SUA (P &amp;lt; 0.001) and 2.1% in T1, 5.8% in T2, and 10.8% in T3 in SUA/Cr (P &amp;lt; 0.001). Conclusions: In this nationwide cross-sectional study, SUA and SUA/Cr levels are associated with MetS, its components, and the marker of NAFLD in Korean adolescents. SUA and SUA/Cr seem to be more specific in diagnosing MetS in female adolescents. Both SUA and SUA/Cr could be used as important markers to predict MetS in adolescents. Presentation: 6/1/2024

Relationships between social determinants of health and healthy body composition among Aboriginal and Torres Strait Islander youth in the Next Generation: Youth Well-being study.

Little is currently known about the relationships between body composition and the social determinants of health among Aboriginal and Torres Strait Islander youth in Australia, which could help inform policy responses to address health inequities. This study aimed to explore the relationship between various social factors and healthy body mass index (BMI) and waist/height ratio (WHtR) among Aboriginal and Torres Strait Islander youth aged 16-24 years. Baseline survey data from 531 participants of the 'Next Generation: Youth Well-being study' were used. Robust Poisson regression quantified associations between healthy body composition and self-reported individual social factors (education, employment and income, government income support, food insecurity, home environment, relationship status, racism), family factors (caregiver education and employment) and area-level factors (remoteness, socioeconomic status). Healthy body composition was less common among those living in a crowded home (healthy WHtR aPR 0.67 [0.47-0.96]) and those receiving government income support (healthy BMI aPR 0.74 [0.57-0.95]). It was more common among those with tertiary educated caregivers (healthy BMI aPR 1.84 [1.30-2.61]; healthy WHtR aPR 1.41 [1.05-1.91]) and those in a serious relationship (healthy BMI aPR 1.33 [1.02-1.75]). Social factors at the individual and family level are associated with healthy body composition among Aboriginal and Torres Strait Islander youth. SO WHAT?: The findings of this study highlight the potential for health benefits for youth from policies and programs that address social inequities experienced by Aboriginal and Torres Strait Islander people in Australia.

Influence of body fat on heart rate variability in healthy females.

To evaluate the effect of central obesity indices in healthy females on cardiac autonomic activity, using heart rate variability as an index reflecting the cardiac autonomic balance. The cross-sectional study was conducted at the Department of Physiology, College of Medicine, Mustansiriyah University, Baghdad, Iraq, from September 2020 to April 2021, and comprised adult healthy women having a regular menstrual cycle who were not consumers of tobacco, alcohol or any medication. Waist circumference, waist-hip ratio, waist-height ratio and lipid accumulation product measurements were noted for each subject. Repeated blood pressure and heart rate measurements were taken on the brachial artery of the right arm until stable values were achieved. Heart rate variability was based on electrocardiogram data related to R-R interval. Data was analysed using GraphPad InStat version 3.06. There were 53 women with mean age 37.4±10.5 years. Low-frequency power normalised units at the highest two quintiles of waist circumference was significantly higher than the lowest two quintiles (p<0.03), and significantly and positively correlated with waist-hip ratio (p<0.02) and waist-height ratio (p<0.05). At the highest two quintiles of lipid accumulation product, low-frequency power normalised units value was significantly higher than at the lowest two quintiles (p<0.02). Increased waist circumference, waist-height ratio, waist-hip ratio and lipid accumulation product values were significantly associated with high sympathetic tone.

Effect of body fat on temporal dispersion of ventricular repolarization duration assessed by QT variability index in healthy females.

To assess the impact of age as well general and central adiposity indices on QT variability index. The cross-sectional study was conducted at the Department of Physiology, College of Medicine, Mustansiriyah University, Baghdad, Iraq, from September 2020 to April 2021, and comprised healthy adult females having regular menstrual cycle. QT variability index and its association with age, body mass index, waist circumference and waist-height ratio were worked out. Data was analysed using SPSS 14. There were 55 women with mean age 37.4±10.5 years. QT variability index correlated significantly and positively with age, body mass index, waist circumference and waist-height ratio (p<0.05). Aging and obesity increased QT variability index, and could contribute to ventricular arrhythmia and sudden cardiac death.

Screening of Serum Cholesterol Level Amongst Sri Lankan Women in Relation to Waist-Height Ratio (WHtR), Waist Circumference (WC), Body Mass Index (BMI), Waist-Hip Ratio (WHR), and Waist-Thigh Ratio (WTR): A Cross-Sectional Study

Anthropometric measurements give a general reflection of any changes in lipid concentration in the human body. A disturbed lipid profile can be associated with cardiovascular disease risk. Therefore, this study aimed to investigate the relationship between serum total cholesterol level and different anthropometric parameters related to obesity in a female population of two administrative areas in the Southern Province of Sri Lanka. Analytical cross-sectional study was conducted in Boral and Hiththatiya-Meda areas of Matara district, Sri Lanka. The systematic random sampling method was followed to select 314 females aged 18-60 years. Serum total cholesterol concentration was measured on a venous blood sample by Konelab 20XT biochemistry analyser with a commercially available reagent kit. Body Mass Index (BMI), Waist-Height Ratio (WHtR), Waist Circumference (WC), Waist-Hip Ratio (WHR), and Waist-Thigh Ratio (WTR) parameters were calculated for each individual. Pearson correlation test, chi-squared test and t-test were done to analyse data using SPSS, 16 (P&lt;0.05). The serum total cholesterol concentration is positively associated with abdominal obesity while showing a statistically significant positive correlation with BMI, WC, WHR, WTR and WHtR (r=0.217, r=0.590, r=0.315, r=0.347 and r=0.574 respectively; P≤0.05). The prevalence of hypercholesterolemia in the population was 8.6%. These results indicate that all main anthropometric parameters of this study are positively associated with serum total cholesterol levels and an increment of these risk markers can lead to an increase in risk of developing metabolic diseases associated with abdominal obesity among women.

Associations between the nutritional quality of snacks, overall diet quality and adiposity: findings from a nationally representative study of Australian adolescents.

The primary aim of this study was to examine the association between snack nutritional quality, overall diet quality and adiposity among Australian adolescents. The secondary aim was to assess the distribution of discretionary foods (i.e. energy-dense and nutrient-poor foods and beverages) and intakes from the five food groups at different levels of snack nutritional quality. Dietary data collected from nationally representative adolescents (12-18 years old) during a 24-h dietary recall in the National Nutrition and Physical Activity Survey were analysed (n 784). Snacks were defined based on participant-identified eating occasions. Snack nutritional quality was assessed using the Nutrient Profiling Scoring Criterion (NPSC), whereas diet quality was evaluated using the Dietary Guideline Index for Children and Adolescents. Adiposity was assessed through BMI Z-score waist circumference and waist:height ratio (WHtR). Higher nutritional quality of snacks, as assessed by the NPSC, has been associated with higher diet quality among both boys and girls (P < 0·001). However, there is no association between snacks nutritional quality with BMI Z-score, waist circumference and WHtR. Among both boys and girls, the consumption of fruits, vegetables and legumes/beans at snacks increased with improvement in snack nutritional quality. Conversely, the consumption of discretionary foods at snack decreased with improvement in snack nutritional quality. In conclusion, improved snack quality was associated with better diet quality in adolescents. However, there was no association between snack nutritional quality and adiposity. Future, snack nutrition quality indices should consider optimum snack characteristics related with adiposity and diet quality.

The variations in health cost based on the traditional obesity parameters among patients with coronary artery diseases undergoing cardiac catheterization

BackgroundIn the literature, obesity has been correlated with coronary artery diseases (CADs) and high health costs. This study aimed to investigate the relationships between obesity parameters and the health costs among patients with CADs undergoing cardiac catheterization.MethodA secondary data analysis was done for an original study. The original study was conducted among 220 hospitalized patients undergoing cardiac catheterization from two main hospitals located in the Middle and Northern regions of Jordan. Bivariate Pearson’s correlation and forward linear regression analysis were calculated in this study.ResultsThe average health cost for the participants was 1,344 JOD (1,895.63 USD). A significant positive moderate correlation (r = 0.4) was found between hip circumference (HC) and health cost. There were significant positive weak correlations between low-density lipoprotein (LDL), triglycerides, high-sensitivity C-reactive protein (HS-CRP), hemoglobin A1c (HbA1c), and depression, and the health cost (correlation coefficient 0.17, 0.3, 0.29, 0.22 and 0.17, respectively. HC, waist circumference (WC), waist-height ratio (WHtR), waist-hip ratio (WHR), and body adiposity index (BAI) were significantly associated with health costs among male participants. In contrast, among females, none of the obesity parameters was significantly associated with health costs. The forward regression analysis illustrated that an increase of HC by 3.9 cm (β (0.292) * SD (13.4)) will increase the health cost by 1 JOD (0.71 USD). The same analysis revealed that HS-CRP increased by 0.4 mg/dl (β (0.258)*SD (1.43)), or triglycerides increased by 8.3 mg/dl (β (0.241)* SD (34.3)), or depression score increased by 0.32 score (β (0.137)* SD (2.3)), or total cholesterol increased by 4 mg/dl (β (0.163)* SD (24.7)), the health cost will increase by one JOD (0.71 USD).ConclusionHealthcare providers, including nurses, should significantly consider these factors to reduce the health costs for those at-risk patients by providing the appropriate healthcare on time.

The discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS

ObjectiveObesity is a common feature in women with polycystic ovary syndrome (PCOS) and potentially significantly influences reproductive function. However, opinions are divided as to which factor is a more appropriate obesity predictor of reproductive outcomes. The aim of this study was to investigate the discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS.MethodsA total of 998 women with PCOS from PCOSAct were included. Logistic regression models were used to compute the odds ratios (ORs) and 95% confidence interval (95% CIs) to assess the effect of anthropometric measures, including body mass index (BMI), waist circumference (WC), hip circumference (HC), the waist‒hip ratio (WHR) and the waist‒height ratio (WHtR), on reproductive outcomes. The discrimination abilities of the models were assessed and compared based on the area under the receiver operating characteristic curve (AUC), Akaike’s information criterion (AIC) and integrated discrimination improvement (IDI).ResultsAmong PCOS women, there was a graded association between anthropometric measures and predicted reproductive outcomes across quintiles of anthropometric measures, including a linear association among WHR, BMI and reproductive outcomes and among waist circumference, WHtR and live birth, pregnancy, and ovulation. However, only a linear association was noted between the hip and ovulation. C-statistic comparisons and IDI analyses revealed a trend towards a significant superiority of BMI for ovulation and WHR for live birth, pregnancy and conception in the models. Combining obesity variables improved discrimination in the multivariable models for reproductive outcomes.ConclusionsOur findings support that BMI is a better predictor of ovulation and that the WHR is a better predictor of live birth, pregnancy and conception, whereas the combination of obesity variables contributes to the discrimination of reproduction.

Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus

Anthropometric parameters are widely used in the clinical assessment of hypertension, type 2 diabetes, and cardiovascular disease. However, few studies have compared the association between different anthropometric parameters and insulin resistance (IR). This study was aimed at investigating the relationship between 6 indicators, including body mass index (BMI), calf circumference (CC), arm circumference (AC), thigh circumference (TC), waist circumference (WC), waist-height ratio (WHtR), and IR. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used to measure IR. Weighted linear regression was used to assess the relationship between different parameters and IR. The receiver operating characteristic curve (ROC) was employed to compare the strength of the relationship between different anthropometric parameters and IR. A total of 8069 participants were enrolled in our study, including 4873 without IR and 3196 with IR. The weighted linear regression results showed that BMI, CC, AC, TC and WC were significantly correlated with IR, except WHtR. After adjusting for multiple confounding factors, we found that BMI, AC and WC were significantly positively correlated with IR, while TC was significantly negatively correlated with IR. Logistic regression results showed that a larger TC was associated with a decreased risk of IR. In addition, BMI and WC had similar areas under the curve (AUC: 0.780, 95% CI 0.770–0.790; AUC: 0.774, 95% CI 0.763–0.784, respectively), which were higher than TC and AC (AUC: 0.698, 95% CI 0.687–0.710, AUC: 0.746, 95% CI 0.735–0.757, respectively). To our knowledge, this is the first study to report a negative correlation between TC and IR among patients without diabetes mellitus. Therefore, TC may be a new tool to guide public health and a clinical predictor of IR in non-diabetic patients.

Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40–74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data

The relevance of anthropometric indices in predicting cardiovascular disease (CVD) or CVD risk factors is established across different countries, particularly in the high-income countries. However, past studies severely lacked representation from the south and southeast Asian countries. The main aim of this study was to determine the performance of conventional and new anthropometric indices to best predict 10-year cardiovascular disease (CVD) risk in south Asian and southeast Asian populations. The present study examined data from 14,532 participants in three south Asian and 13,846 participants (all aged between 40 and 74 years) in six southeast Asian countries, drawn from twelve cross-sectional studies (WHO STEPwise approaches to NCD risk factor surveillance [STEPS] survey data from 2008 to 2019). A Predictive performance of ten anthropometric indices were examined for predicting 10-year CVD risk ≥ 10% (CVD-R ≥ 10%). The 10-year CVD-R ≥ 10% was calculated by utilising the WHO CVD risk non-laboratory-based charts. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal anthropometric index. Among the ten anthropometric indices, a body shape index (ABSI), body adiposity index (BAI), body roundness index (BRI), hip index (HI), and waist-height ratio (WHtR) performed best in predicting 10-year CVD risk among south Asian males and females. Improved performances were found for ABSI, BRI, conicity index (CI), WHtR, and waist-hip ratio (WHR) for 10-year CVD-R ≥ 10% predictions among southeast Asian males. Contrastingly, among southeast Asian females, ABSI and CI demonstrated optimal performance in predicting 10-year CVD-R ≥ 10%. The performance of anthropometric indices in predicting CVD risk varies across countries. ABSI, BAI, BRI, HI, and WHtR showed better predictions in south Asians, whereas ABSI, BRI, CI, WHtR, and WHR displayed enhanced predictions in southeast Asians. None.

Association of serum 25(OH)D3 with cardiovascular risk-related indicators: cross-sectional analysis of NHANES

This study investigated the association between serum 25(OH)D3 levels and cardiovascular risk-related indicators. 4 727 participants aged 20 and above from the National Health and Nutrition Examination Survey 2015-2018 database were enrolled. Body mass index, hypersensitive C-reactive protein, high density lipoprotein cholesterol, systolic blood pressure, waist-height ratio, and total cholesterol were selected as the research indicators. Weighted multiple linear regression models, subgroup analyses, smooth curve fitting, and saturation threshold effect analyses were employed to explore the relationship between serum 25(OH)D3 and these indicators. The results showed that after full adjustment for covariates, every 1 nmol/L increase in serum 25(OH)D3, the changes in β (95%CI) values for body mass index(BMI), hypersensitive C-reactive protein(hs-CRP), systolic blood pressure(SBP), waist-height ratio(WHtR), high density lipoprotein cholesterol(HDL-C), and total cholesterol(TC) were -0.05 (-0.06, -0.04) kg/m2, -0.01 (-0.02, -0.01) mg/L, -0.02 (-0.04, -0.01) mmHg, -0.000 7 (-0.000 8, -0.000 6), 0.10 (0.08, 0.11) mg/dl, and 0.08 (0.04, 0.12) mg/dl, respectively. Female participants were more sensitive to changes in serum 25(OH)D3, while participants aged 60 and above were relatively less sensitive. The relationship between serum 25(OH)D3 and these indicators partially exhibited nonlinear patterns across different gender and age subgroups. The saturation threshold effect analysis revealed 8 meaningful inflection points. In summary, vitamin D has a close association with cardiovascular risk-related indicators.

Significance of measuring anthropometric and atherogenic indices in patients with polycystic ovary syndrome

BackgroundPolycystic ovary syndrome (PCOS) is a prevalent hormonal disorder affecting 5–15% of women of reproductive age, characterized by ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology. PCOS is associated with metabolic disturbances such as dyslipidemia, insulin resistance (IR), and an increased risk of type 2 diabetes (T2DM) and cardiovascular disease.ObjectiveThe aim of this study is to apply new anthropometric indices [body adiposity index (BAI), visceral adiposity Index (VAI), lipid accumulation product (LAP), body roundness index (BRI), a body shape index (ABSI)] and new atherogenic indices [Castelli index-I, Castelli index-II, atherogenic risk of plasma (AIP), atherogenic coefficient (AC), lipoprotein combined index (LCI), triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio, metabolic score for insulin resistance (METS-IR), triglyceride glucose (TyG) index, triglyceride glucose-dody mass (TyG-BMI) index, triglyceride glucose-waist circumference (TyG-WC) index] metabolic score of insulin resistance to patients with PCOS.MethodsA retrospective analysis was conducted on 248 women diagnosed with PCOS based on the 2003 Rotterdam criteria. Anthropometric measurements, biochemical parameters, and atherogenic indices were collected from patient records. Statistical analyses were performed using Statistical Package for the Social Sciences software version 28.0.ResultsSignificant correlations were found between fasting glucose and various anthropometric indices, such as Body mass index (BMI), waist-height ratio (WHtR), and BAI, indicating a link between adiposity and glucose metabolism in PCOS. Atherogenic indices like Castelli’s risk indices, AIP, and AC showed positive correlations with glucose and insulin levels, reinforcing their role in assessing cardiovascular risk. Novel indices such as METS-IR and TyG demonstrated strong correlations with both glucose and insulin profiles, highlighting their potential as reliable markers for IR and cardiometabolic risk.ConclusionThe study underscores the importance of using a range of anthropometric and atherogenic indices for comprehensive metabolic assessment in women with PCOS. Indices like METS-IR and TyG offer valuable insights into insulin sensitivity and cardiovascular risk, potentially aiding in better management and prognosis of PCOS.

Validity of Different Anthropometric Indices in the Assessment of Body Composition of Children and Adolescents with Type 1 Diabetes

Background: The prevalence of overweight and obesity in young people with type 1 diabetes (T1D) has been increasing despite current advancements in the management of T1D. Objectives: This study aimed to assess the prevalence of overweight/obesity using bioelectrical impedance analysis (BIA) in children and adolescents with T1D and evaluate the validity of new anthropometric indices, which have been recommended for defining overweight and obesity. Methods: A cross-sectional study was performed on subjects with T1D between the ages of 5 and 21 years. The patients' anthropometric measurements were obtained, and Body Mass Index (BMI), waist/height ratio (WHtR), Tri-Ponderal Mass Index (TMI), Body Adiposity Index (BAI), Body Shape Index (ABSI), Body Roundness Index (BRI), Abdominal Volume Index (AVI), and Conicity Index (CI) were calculated. The percentage of body fat (PBF) was measured with BIA. Results: Our study included 133 subjects (48.1% male, 77.4% pubertal) with a median age of 14.0 years (11.3 - 16.5) and a median duration of T1D of 4.5 years (1.5 - 7.3). The prevalence of overweight/obesity was 21.8% according to BMI-SDS and 30.1% according to BIA. BMI-SDS, WC, WHtR, TMI, AVI, BRI, and BAI were effective methods in differentiating overweight/obesity. BMI-SDS demonstrated a sensitivity of 78.79%, a positive predictive value of 72.22%, a negative predictive value of 89.71%, and an AUC of 0.895 at a cut point of 0.63, highlighting its effectiveness in distinguishing overweight/obesity. Conclusions: In children and adolescents with T1D, the prevalence of obesity/overweight identified using BIA was significantly higher compared to BMI-SDS. When reference methods are unavailable, BMI-SDS is the optimal anthropometric method for determining overweight/obesity in this population, independent of sex and puberty. These findings suggest that BMI-SDS can be a reliable alternative for body composition assessment, ensuring accurate identification and management of overweight/obesity in this population.

Establishment and Evaluation of a Noninvasive Metabolism-Related Fatty Liver Screening and Dynamic Monitoring Model: Cross-Sectional Study.

Metabolically associated fatty liver disease (MAFLD) insidiously affects people's health, and many models have been proposed for the evaluation of liver fibrosis. However, there is still a lack of noninvasive and sensitive models to screen MAFLD in high-risk populations. The purpose of this study was to explore a new method for early screening of the public and establish a home-based tool for regular self-assessment and monitoring of MAFLD. In this cross-sectional study, there were 1758 eligible participants in the training set and 200 eligible participants in the testing set. Routine blood, blood biochemistry, and FibroScan tests were performed, and body composition was analyzed using a body composition instrument. Additionally, we recorded multiple factors including disease-related risk factors, the Forns index score, the hepatic steatosis index (HSI), the triglyceride glucose index, total body water (TBW), body fat mass (BFM), visceral fat area, waist-height ratio (WHtR), and basal metabolic rate. Binary logistic regression analysis was performed to explore the potential anthropometric indicators that have a predictive ability to screen for MAFLD. A new model, named the MAFLD Screening Index (MFSI), was established using binary logistic regression analysis, and BFM, WHtR, and TBW were included. A simple rating table, named the MAFLD Rating Table (MRT), was also established using these indicators. The performance of the HSI (area under the curve [AUC]=0.873, specificity=76.8%, sensitivity=81.4%), WHtR (AUC=0.866, specificity=79.8%, sensitivity=80.8%), and BFM (AUC=0.842, specificity=76.9%, sensitivity=76.2%) in discriminating between the MAFLD group and non-fatty liver group was evaluated (P<.001). The AUC of the combined model including WHtR, HSI, and BFM values was 0.900 (specificity=81.8%, sensitivity=85.6%; P<.001). The MFSI was established based on better performance at screening MAFLD patients in the training set (AUC=0.896, specificity=83.8%, sensitivity=82.1%) and was confirmed in the testing set (AUC=0.917, specificity=89.8%, sensitivity=84.4%; P<.001). The novel MFSI model was built using WHtR, BFM, and TBW to screen for early MAFLD. These body parameters can be easily obtained using a body fat scale at home, and the mobile device software can record specific values and perform calculations. MFSI had better performance than other models for early MAFLD screening. The new model showed strong power and stability and shows promise in the area of MAFLD detection and self-assessment. The MRT was a practical tool to assess disease alterations in real time.

What Determinants Are Related to Milk and Dairy Product Consumption Frequency among Children Aged 10-12 Years in Poland? Nationwide Cross-Sectional Study.

Due to their high nutritional value, milk and dairy products should be a permanent element of a properly balanced diet for children and adolescents. The study aimed to identify (i) the frequency of milk and dairy product consumption by children aged 10-12 years in the opinion of children and their parents and (ii) the determinants related to the consumption of these products (including lifestyle, nutrition knowledge, and the nutritional status of children's as well as parents' nutrition knowledge). A cross-sectional study was conducted with 12,643 primary school students aged 10-12 and 7363 parents. Dietary data were collected using the Food Frequency Consumption and Nutritional Knowledge Questionnaire (SF-FFQ4PolishChildren® and KomPAN®). Anthropometric measurements were taken and body mass index (BMI) and waist/height ratios (WHtR) were calculated. A logistic regression model was used to assess the likelihood of the frequent consumption of dairy products in the opinion of both the children and their parents, and the quality of the obtained models was assessed using model fit statistics and the Hosmer and Lemeshow test. The frequency of consuming milk and milk products (every day and more) was low in the opinion of children aged 10-12 years (29.6%). According to their parents, the frequency of the consumption of dairy products was slightly higher (44.8%). Six factors associated with the frequency of milk and dairy product consumption were identified independently. These included schoolchildren and their parents' nutrition knowledge, physical activity, sleep, gender, and place of residence. More of these products were consumed by children with greater nutrition knowledge-both their own and their parents'-higher physical activity, longer sleep duration, males, and those living in the city. Family eating habits, particularly eating meals together, also played an important role in the consumption of milk and dairy products. According to the parents, the children in older grades were less likely to consume dairy products more frequently. The obtained results suggest an insufficient consumption of milk and dairy products. The identification of modifiable factors, such as nutrition knowledge, physical activity, sleep duration, and eating meals with the family, suggests the need to improve the existing strategies, including activities encouraging nutritional education for both schoolchildren and their parents.