Predictive Diagnostic Power of Anthropometric Indicators for Metabolic Syndrome: A Comparative Study in Korean Adults

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 448 - 448

Published: Jan. 12, 2025

Background/Objectives: Metabolic syndrome (MetS) is a cluster of risk factors that significantly increase the cardiovascular disease, including type 2 diabetes, etc. Assessing predictive diagnostic power anthropometric indicators for MetS crucial early identification and prevention related health issues. This study focuses on Korean adult population while providing insights may be applicable to broader global contexts. Therefore, this aimed compare capabilities various indicators, body mass index (BMI), waist-to-height ratio (WHtR), muscle mass-to-fat (MFR), mass-to-waist (MWR), shape (ABSI), in relation adults. Methods: Data from 13,725 participants Korea National Health Nutrition Examination Survey (2008–2011) were analyzed. The each indicator was assessed using receiver operating characteristic (ROC) curve analysis, area under (AUC) values compared. Participants classified into normal (NG) abnormal (AG) groups based established cutoff values, logistic regression analysis performed evaluate odds group. Results: WHtR showed highest AUC (0.792 men 0.768 women), indicating superior accuracy compared other (p < 0.001). Logistic indicated both unadjusted adjusted ratios (OR) higher AG than NG across all Specifically, OR (95% confidence interval) 6.793 (5.929–7.784) 4.665 (4.151–5.423) women, representing among Conclusion: Among most reliable practical predicting It useful intervention clinical public settings.

Language: Английский

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Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 31, 2025

Language: Английский

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High prevalence of overweight/obesity and central obesity among women in a rural district of Nepal in 2012–2013: a population-based study

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 6, 2025

The prevalence of overweight is rapidly escalating, especially in South-Asia. We aimed to estimate the overweight/obesity and central obesity, associated risk factors among women a rural setting Nepal. A cross-sectional study addressing reproductive health non-communicable diseases (NCDs) was conducted 2012-2013 district Married, non-pregnant ≥15 years age were included. Height, weight, waist circumference (WC) measured, body mass index (BMI) calculated. WHO cut-offs for Asians used assess (23.0-27.4 kg/m2), obesity (≥ 27.5 kg/m2) (WC ≥ 80 cm). Data concerning socioeconomic lifestyle collected. Altogether, 1,391 43.1 ± 14.4 majority belonged Adhivasi/Janajati ethnicity, uneducated worked agriculture. 30.5% overweight, 12.0% obese, 34.2% centrally obese; 25.7% both overweight/obese obese. Underweight (< 18.5 observed 9.6%. Among with normal weight or underweight, 14.9 15.3% had respectively. Hypertension 13.4% obesity. Instant noodle intake ≥2 times weekly increased overweight/obesity. high Nepal, which entails an metabolic complications NCDs. Our findings underscore need public programs nutritional patterns physical activity prevent

Language: Английский

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Association between systemic immune-inflammation index and central obesity in pediatric populations: a cross-sectional and cohort study

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 19, 2025

Central obesity in children represents a significant public health concern due to its strong association with an elevated risk of metabolic and cardiovascular disorders. The systemic immune inflammation index (SII) has been implicated the pathophysiology obesity-related chronic inflammation. Despite potential relevance, specific relationship between central SII pediatric population remains insufficiently explored. objective this study was examine obesity, particular focus on as predictor means preventing at early stage life. Waist-to-height ratio (WHtR), subcutaneous fat, visceral fat were employed proxies. defined according WHtR cutoff value 0.46. implications examined sample 4,730 individuals 2021 validated through prospective involving 1,425 subjects 2023. Cross-sectional associations using binomial logistic regression models generalized linear models. restricted cubic spline used explore non-linear indicators. In study, we modified Poisson model investigate causal obesity. Cross-sectionally, adolescents highest quartile levels exhibited greatest for obesity(OR=3.07, 95% CI:2.45~3.87) when compared those lowest quartile. Subgroup analyses showed that higher associated Longitudinally, found have developing (RR=1.83, CI:1.18~2.83) over time.

Language: Английский

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The Association Between Waist Circumference and the Risk of Osteoporosis in Non-overweight US Adults

Indian Journal of Orthopaedics, Journal Year: 2025, Volume and Issue: unknown

Published: March 9, 2025

Language: Английский

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A Novel Approach: The Akl-Ahmed Insulin Sensitivity Prediction Equation (AA-ISPE) as an Alternative to HOMA-IR for Predicting Insulin Resistance

Published: May 27, 2024

Insulin resistance (IR) is a key factor in the pathogenesis of type 2 diabetes mellitus (T2DM) and other metabolic disorders. This paper presents development novel predictive model, Akl-Ahmed Sensitivity Prediction Equation (AA-ISPE), aimed at assessing insulin sensitivity. The equation integrates three biomarkers: Body Mass Index (BMI), C-reactive protein (CRP), Interleukin-6 (IL-6). Through rigorous statistical analyses validation procedures using independent datasets, AA-ISPE demonstrates robust performance predicting By incorporating multiple indicators associated with into unified offers comprehensive tool for early detection risk assessment equation's applicability across diverse patient populations underscores its potential personalized targeted therapeutic interventions management resistance.

Language: Английский

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Normal Weight Central Obesity and its Impact on Type 2 Diabetes Mellitus

Current Diabetes Reports, Journal Year: 2024, Volume and Issue: 25(1)

Published: Nov. 6, 2024

Language: Английский

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