Background: Obesity is well known to be a problem all over the world: WHO data report that one billion subjects are overweight and 300 million are obese. Epidemiological data (IOTF) show that prevalence rates are increasing not only in industrialized countries, but also in developing countries, especially as far as the adolescent population is concerned.
Aim Of The Study: To select adolescents at risk of obesity by BMI calculation and by other anthropometric and functional measurements in the Aosta Valley Mountain Region (Northern Italy).
Methods: 532 adolescents were recruited and participated in the study (254 males and 278 females, aged 15.4 +/- 0.7). According to standard methods, the following parameters were measured: weight and height for BMI calculation, four skin folds (mid-triceps,mid-biceps, subscapular and supra-iliac) to compute body fat mass,waist and hip circumferences, systolic (SBP) and diastolic (DBP) blood pressure. Parental weight and height, educational and socio-economic status were requested from the parents using a questionnaire.
Results: Percentages of overweight and obese boys were 20.9% and 4.7% respectively, and percentages of overweight and obese girls were 14.7% and 1.1% respectively (using Cole's cut off point reference standard). Mean body fat mass percentages (males = 19.3 +/- 5.6%, females 23.3 +/- 4.4%) showed males at risk of obesity, as indicated by a higher prevalence rate of overweight and obesity in this gender. Positive correlations (p <0.01) were found between BMI and the following parameters: mid-triceps skinfolds, body fat mass percentage,waist and hip circumferences, but no correlation emerged with WHR; body fat mass positively correlates (p <0.01) with waist and hip circumferences; students' BMI positively correlates with blood pressure (p <0.01),with parental BMI and shows a positive trend towards parental low education and socioeconomic levels.
Conclusions: Overweight and obesity prevalence rates are higher in males than in females according to literature data; family influences weight condition. The correlations that emerged show that BMI is a good adiposity index also in adolescents, it acts as an indicator of cardiovascular risk condition and is influenced by parental BMI.
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http://dx.doi.org/10.1007/s00394-005-0571-x | DOI Listing |
BMC Surg
January 2025
Postgraduate Program in Nutrition and Health, Health Sciences Center, Federal University of Espírito Santo, Av. Mal. Campos, 1468 - Maruípe, Vitória, 29047-100, ES, Brazil.
Background: Fourier transform infrared spectroscopy (FTIR) is an analytical technique increasingly applied in biological analysis. This study investigates the application of FTIR to identify early biochemical changes, particularly in lipid profiles, in individuals undergoing Roux-en-Y gastric bypass (RYGB).
Methods: An observational study involving patients from a university hospital's Bariatric and Metabolic Surgery Program, with evaluations performed before (T0) and two months after (T1) RYGB.
Sci Rep
January 2025
Department of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Among healthcare professionals (HCPs), the demanding nature of their work, irregular schedules, and high-stress environments can significantly influence their eating behaviors. This study's objectives were to assess the relationship between cognitive restraint (CR), emotional eating (EE), uncontrolled eating (UE), and body mass index (BMI) and identify the sociodemographic factors associated with CR, EE, and UE among HCPs. A cross-sectional study and a simple random sampling technique were employed.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Student Research Committee, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
A recently introduced metric for assessing metabolic syndrome (MetS) is the triglyceride glucose-body mass index (TyG-BMI). Additionally, the glycemic index (GI) is recognized as a significant measure for evaluating conditions associated with blood glucose. In this context, our research explores the correlation between TyG-BMI and GI in relation to diet quality, anthropometric measurements, and blood pressure among individuals diagnosed with MetS.
View Article and Find Full Text PDFCent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objectives: The aim of this study was to confirm the relevance of knowledge a dentist has regarding obstructive sleep apnoea (OSA), considering the fact that based on specific risk factors a dentist may be the first clinician to identify patients who are at risk of being affected by this serious condition.
Methods: The cohort consisted of 53 subjects who underwent a routine dental examination. Anthropometric data and data on tongue size (Mallampati classification), tonsil size (Friedman classification), daytime sleepiness (Epworth Sleepiness Scale) and systemic risk factors were recorded in a record sheet.
Zhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing100191, China.
To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China. In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods.
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