Obesity is a health disorder characterized by an increase in body weight, measured by waist circumference. High waist circumference is linked to potential development of non-communicable diseases. A systematic review study was used to explore health risks of high waist circumference through Google Scholar, Science Direct, Pubmed, and Proquest. Findings show that high waist circumference increased the risks of developing hypertension, type 2 diabetes mellitus, hypercholesterolemia, joint pain, low back pain, and hyperuricemia. It is recommended that government increase their role in raising public awareness to maintain healthy lifestyle.. ...
According to the National Institutes of Health, a high Waist Circumference (WC) is associated with an increased risk for type 2 diabetes, dyslipidemia, hypertension and cardiovascular disease when the BMI is between 25 and 34.9. (A BMI greater than 25 is considered overweight and a BMI greater than 30 is considered obese.) Waist Circumference can be useful for those people categorized as normal or overweight in terms of BMI. (For example, an athlete with increased muscle mass may have a BMI greater than 25 - making him or her overweight on the BMI scale - but a Waist Circumference measurement would most likely indicate that he or she is, in fact, not overweight). Changes in Waist Circumference over time can indicated an increase or decrease in abdominal fat. Increased abdominal fat is associated with an increased risk of heart disease.. To determine your Waist Circumference, locate the upper hip bone and place a measuring tape around the abdomen (ensuring that the tape measure is horizontal). ...
Background There is controversial evidence on the associations between anthropometric measures with clustering of cardiovascular disease risk factors in pediatric ages. We aimed to examine the associations between body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with clustered cardiometabolic risk factors and to determine whether these anthropometric variables can be used to discriminate individuals with increased cardiometabolic risk (increased clustered triglycerides, HDL-cholesterol, systolic and diastolic blood pressure, and HOMA-IR). Methods The study sample of 4255 (2191 girls and 2064 boys) participants (8-17 years) was derived from pooled cross-sectional data comprising five studies. Outcomes included a continuous cardiometabolic risk factor z-score [corresponding to the sum of z-scores for triglycerides, HDL-cholesterol, systolic and diastolic blood pressure (mean arterial pressure), and HOMA-IR] and children with ≥1.0 SD in this score were defined as being
Recently, the use of waist circumference (WC) has been substituting the BMI as a measure of obesity and health. Waist circumference has been found to strongly correlate with adverse cardio-vascular events or diseases such as diabetes. This correlation between waist circumference and bad health is stronger than that of BMI.. Waist circumference correlates with bad health stronger than BMI does. The logic behind this shift in health policy makers attitude lies in the fact that not all fat is the same. More and more scientific data is coming in, showing that fatty tissue is not just a storage for calories but rather a living, functioning organ that is capable of communicating with the rest of the body.. It turns out that there are two main fat distributions that can be identified in people: Abdominal fat ("pot belly" or "apple shaped" or "male type") and Hip fat ("pear fat" or "female type"). These pictures might clear things up a bit more:. ...
Waist Circumference Tool In addition to Body Mass Index (BMI), waist circumference screening is an important element of predicting disease risk, especially for individuals who are categorized as normal or overweight on the BMI scale. This chart illustrates proper technique for measuring waist circumference and indicates disease risk by waist circumference and BMI, and is also available for PDF download. ...
OBJECTIVES:To compare body mass index (BMI), waist circumference and waist-hip ratio (WHR) as indices of obesity and assess the respective associations with type 2 diabetes, hypertension and dyslipidaemia. DESIGN AND SETTING:A national sample of 11 247 Australians aged > or =25 years was examined in 2000 in a cross-sectional survey. MAIN OUTCOME MEASURES:The examination included a fasting blood sample, standard 2-h 75-g oral glucose tolerance test, blood pressure measurements and questionnaires to assess treatment for dyslipidaemia and hypertension. BMI, waist circumference and WHR were measured to assess overweight and obesity. RESULTS:The prevalence of obesity amongst Australian adults defined by BMI, waist circumference and WHR was 20.8, 30.5 and 15.8% respectively. The unadjusted odds ratio for the fourth vs. first quartile of each obesity measurement showed that WHR had the strongest relationship with type 2 diabetes, dyslipidaemia (women only) and hypertension. Following adjustment for ...
Abdominal obesity, often expressed as an increased waist circumference, is becoming a widely accepted anthropometric measurement when assessing overall cardiometabolic risk. Several studies have shown that abdominal obesity correlates well with obesity related CVD risk factors including elevated blood pressure, dyslipidemia, and hyperglycemia [12, 13]. Associations between waist circumference and type 2 diabetes and CVD-associated morbidity have also been demonstrated [14, 15]. To our knowledge there is only one previous study focusing upon the association between waist circumference and future risk for type 2 diabetes/CVD assessing risk by applying a risk score equation [16]. From a public health point of view this is an important issue especially within primary care when aiming at early identification of high risk individuals. When estimating risk for CVD the CVD Risk Score compares well with SCORE relative risk chart [17]. The latter identified 87.6% of those with a CVD Risk Score ≥ 4.5 in ...
Toda la información sobre las últimas publicaciones científicas de la Clínica Universidad de Navarra. Influence of waist circumference on the metabolic risk associated with impaired fasting glucose: effect of weight loss after gastric bypass
1 Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics. 1998;101:518-25. 2 Weiss R, Caprio S. The metabolic consequences of childhood obesity. Best Pract Res Clin Endocrinol Metab. 2005;19:405-19. 3 Pouliot MC, Despres JP, Lemieux S, et al. Waist Circumference and Abdominal Sagittal Diameter - Best Simple Anthropometric Indexes of Abdominal Visceral Adipose-Tissue Accumulation and Related Cardiovascular Risk in Men and Women. Am J Cardiol. 1994;73:460-8. 4 Lean ME, Han TS, Morrison CE. Waist circumference as a measure for indicating need for weight management. BMJ. 1995;311:158-61. 5 Goran MI, Gower BA. Relation between visceral fat and disease risk in children and adolescents. Am J Clin Nutr. 1999;70:149S-156S. 6 Cowin I, Emmett P. Cholesterol and triglyceride concentrations, birthweight and central obesity in pre-school children. ALSPAC Study Team. Avon Longitudinal Study of Pregnancy and Childhood. Int J Obes Relat Metab Disord. 2000;24:330-9. 7 ...
The findings, which emerged from a large prospective study of more than 20,000 Dutch men and women aged 20-65 years begun in 1993, show that the associations of BMI and waist circumference with heart disease are equally strong, and explain one half of all fatal and one quarter of non-fatal CVD in those who are overweight and obese.. Studies which have so far established the association between BMI and waist circumference as risk factors for heart disease have, say the investigators, been based on self-reported data, and these measures frequently underestimate the true prevalence of obesity. For a true estimation of the association, accurate "anthropometric" measurements are necessary. And this is what the present study did. The Monitoring Project on Risk Factors for Chronic Diseases (MORGEN) of the National Institute for Public Health and the Environment in the Netherlands professionally measured between 1993 and 1997 both BMI and waist circumference (as well as other variables) in a cohort of ...
Rationale: A high waist circumference is associated with an increased risk for type 2 diabetes, dyslipidemia, hypertension, and CVD in patients with a BMI in a range between 25 and 34.9 kg/m2 (82). Monitoring changes in waist circumference over time may be helpful, in addition to measuring BMI, since it can provide an estimate of increased abdominal fat even in the absence of a change in BMI. Furthermore, in obese patients with metabolic complications, changes in waist circumference are useful predictors of changes in CVD risk factors (537). There are ethnic and age-related differences in body fat distribution that modify the predictive validity of waist circumference as a surrogate for abdominal fat (526). These variations may partly explain differences between ethnic or age groups in the power of waist circumference or waist-to-hip (WHR) ratio to predict disease risks (429, 543). In some populations, waist circumference is a better indicator of relative disease risk than is BMI: examples ...
An expanding waistline may be a risk factor for chronic obstructive pulmonary disease, according to a recent study. News on NewsHub.org
The aim of this research was to investigate the prevalence of obesity and high blood pressure and to prove which of three anthropometric indicators of obesity - waist circumference, body mass index (BMI) waist-to-hip ratio - is...
Health Reports, volume 23, number 3. Comparison of waist circumference using the World Health Organization and National Institutes of Health protocols. Table 4 Mean waist circumference based on World Health Organization (WHO) and National Institutes of Health (NIH) protocols, by age group, sex and body mass index (BMI) category, household population aged 3 to 79, Canada, 2009 to 2011
It sounds logical, to think that no body fat or high-influenced low metabolism on a person or even by special conditions such as hypothyroidism (under active gland tyroid). Nonetheless, increasing the size of waist circumference is caused by the imbalance of energy in the body (the incoming calories than the calories out). To minimize the waist circumference, you should eat low-calorie foods and increase the activity can burn the remaining calories your body ...
In Korea, the cutoff values of waist circumference (WC) for the identification of metabolic syndrome (MetS) were suggested to be 90 cm for men and 85 cm for women based on the analysis mainly in middle-aged adults. As aging is associated with increased fat, especially abdominal visceral fat, the cutoff value of WC may differ according to age. In addition, the usefulness of visceral abdominal fat area (VFA) to predict MetS in the elderly has not been studied yet. We aimed to suggest WC and VFA criteria and to compare the predictability of WC and VFA to identify people at risk for MetS. A total of 689 elderly subjects aged ≥63 years (308 men, 381 women) were chosen in this cross-sectional study from an ongoing, prospective, population-based study, the Ansan Geriatric (AGE) cohort study. VFA was measured by single slice abdominal computed tomography scanning. The metabolic risk factors except WC (plasma glucose, blood pressure, serum triglycerides and HDL cholesterol levels) were defined using modified
Overweight and obesity are considered among the major health concerns worldwide. The body mass index is a frequently used measure for overweight and obesity and is associated with common non-communicable diseases such as diabetes type II, cardiovascular diseases and certain cancers. However, the body mass index does not account for the distribution of body fat and relative fat to muscle mass. 3D laser-based photonic full body scans provide detailed information on various body circumferences, surfaces, and volumes as well as body height and weight (using an integrated scale). In the literature, body scans showed good feasibility, reliability, and validity, while also demonstrating a good correlation with health parameters linked to the metabolic syndrome. However, systematic differences between body scan derived measurements and manual measurements remain an issue. This study aimed to assess these systematic differences for body height, waist circumference, and body mass index using cross-sectional data
BODY FAT PERCENTAGE AND WAIST CIRCUMFERENCE WERE ASSOCIATED WITH THE DEVELOPMENT OF RHEUMATOID ARTHRITIS - A DANISH FOLLOW-UP STUDY ...
The purpose of this study was to observe the relationship between waist circumference (WC), amount of aerobic exercise performed weekly and overall Health Belief Model (HBM) score in adults with diagnosed type 2 diabetes mellitus (T2DM). Members from a local Midwest adult fitness program (n = 5) who had been diagnosed T2DM participated in this study. Participants ranged in age from 70 to 80 years with an average age of 74 years. Four of the participants were female and one participant was male. The questions included in this study were 1 .) in those with diagnosed T2DM, was a low overall HBM score correlated with a high WC? and 2.) was there a relationship between the overall HBM score and whether individuals with diagnosed T2DM met American College of Sports Medicines (ACSMs) guidelines for aerobic exercise? WC measurements were taken by the primary researcher and the type and amount of aerobic exercise participants completed was documented as part of the demographic survey. Participants perception
Body Mass Index, Waist Circumference and Waist-to-Hip-Ratio in the Prediction of Obesity in Turkish Teenagers. . Biblioteca virtual para leer y descargar libros, documentos, trabajos y tesis universitarias en PDF. Material universiario, documentación y tareas realizadas por universitarios en nuestra biblioteca. Para descargar gratis y para leer online.
Did you know that your waist circumference (WC) can tell you a whole lot more about your body and any future risks than your body mass index (BMI) can? Researchers have known about this for a while, but it has never really been expanded on. BMI used to be the number one predictor of morbidity and mortality due to
In their ongoing search for controllable risk factors that may lead to type 2 diabetes, researchers from the University of Georgia have found that a larger waist circumference may increase an childs chances of developing the condition later in life.
Abstract Background Few prospective studies on association between waist circumference and hypertension have | Wenshu Luo, Zhirong Guo, Xiaoshu Hu, Zhengyuan Zho | International Journal of Cardiology |
It can be too easy to think (or worry) about your weight. But you know what? There is something else that may be more important when it comes to real health. That is your waist circumference. Ahh, just a minute! Its not just about the
The incidence of chronic kidney disease (CKD) increases each year, and obesity is an important risk factor for CKD. The main anthropometric indicators currently reflecting obesity are body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), but the rationality and merits of various indicators vary. This article aims to find whether the WHtR is a more suitable physical measurement that can predict CKD. Pubmed, embase, the cochrane library, and web of science were systematically searched for articles published between 1998 and 2019 screening CKD through physical indicators. Two reviewers independently screened the literature according to the inclusion and exclusion criteria, extracted the data, and evaluated the quality of the methodology included in the study. Meta-analysis used the Stata 12.0 software. Nine studies were included, with a total of 202,283 subjects. Meta-analysis showed that according to the analysis of different genders in 6 studies,
The associations of body mass index (BMI) and other anthropometric measurements with lung cancer were examined in 348,108 participants in the European Investigation Into Cancer and Nutrition (EPIC) between 1992 and 2010. The study population included 2,400 case patients with incident lung cancer, and the average length of follow-up was 11 years. Hazard ratios were calculated using Cox proportional hazard models in which we modeled smoking variables with cubic splines. Overall, there was a significant inverse association between BMI (weight (kg)/height (m)(2)) and the risk of lung cancer after adjustment for smoking and other confounders (for BMI of 30.0-34.9 versus 18.5-25.0, hazard ratio = 0.72, 95% confidence interval: 0.62, 0.84). The strength of the association declined with increasing follow-up time. Conversely, after adjustment for BMI, waist circumference and waist-to-height ratio were significantly positively associated with lung cancer risk (for the highest category of waist circumference vs.
Waist-to-height ratio may be a more accurate measure of cardiovascular health risk than the current standard, the body mass index, a St. Louis expert says.
New study findings establish link between watching TV in the bedroom and childhood obesity, specifically high waist circumference.
Want to gauge your risk for developing Type 2 diabetes? Dont just step on the scale - reach for a measuring tape too, a new study suggests.The circumference of your waist can tell you a
Methods To address the multicollinearity issue between BMI and WC, we used the residual model approach. The standard WC (Y-axis) was regressed on the BMI (X-axis) to obtain residual WC. Data from two adult population surveys (Nunavik Inuit and James Bay Cree) were analysed to evaluate relative effect of BMI and WC on four cardiometabolic risk factors: insulin, triglycerides, systolic blood pressure and high-density lipoprotein levels.. ...
Individuals with a larger waist circumference--even with a normal body mass index--have a greater chance of dying than those with smaller circumferences, according to a study published in the Aug. 9/23 issue of Archives of Internal Medicine.
Question - Suffering from pain or irritation on waist. Treated with trinerve. Am I okay?. Ask a Doctor about when and why MRI is advised, Ask an Internal Medicine Specialist
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Compared with never smokers, WHR was higher among current smokers and among those with more smoking pack-years in both men and women. Adjusting for age and BMI and other possible confounding factors such as alcohol intake, total energy intake, physical activity, and educational level only strengthened the difference in the mean WHR between never and current smokers. Waist and hip circumferences varied with cigarette smoking status in both men and women. After adjusting for age, BMI, and other covariates, mean waist circumference was higher and hip circumference was lower among current smokers compared with never smokers.. It is possible that those in the higher WHR quintiles underreport their current smoking habits. However, this underreporting should only bring the association toward the null; therefore, our results could only underestimate the true association. Alternatively, the relationship we found could be explained by underlying differences in the background characteristics of smokers ...
References. 1 World Health Organization (WHO). Obesity: preventing and managing the global epidemic. WHO: Geneva; 2000. [ Links ] 2 Wu JF. Childhood obesity: a growing global health hazard extending to adulthood. Pediatr Neonatol 2013;54(2):71-72. [ Links ] 3 Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullamy E, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DF, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SE, ...
People living in Inner Regional and Outer Regional/Remote areas of Australia were more likely to have increased risk waist measurements than people living in Major Cities. In Inner Regional Australia, 66.4% of men and 71.0% of women had a waist circumference that put them at increased risk of developing chronic diseases, similar to men and women in Outer Regional/Remote areas (67.7% and 71.7% respectively). In Major Cities, 55.7% of men and 63.1% of women had a waist circumference that put them at increased risk ...
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I have had them done on me a lot when I did competetive sports requiring weighins. Good trainers will be very repeatable and correlate well to each other. you have to know how to measure for the right spot and get a good pinch. 6 spot Yahazs (sp?) method is what I have done at the YMCA by the phys therapist wannabe. Its great. I dont even pay anything. Just chat him up. gonna help him with some chemistry tutoring if he needs it ...
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Ardern, Chris I., Janssen, Ian, Ross, Robert, Katzmarzyk . Development of health-related waist circumference thresholds within BMI categories ...
Research suggests waist circumference can be an important indicator of overall health. But President Trumps physician did not perform that measurement.
Up-to-date information to help you find the top accredited physical therapy programs in Lansing, Michigan. Information on students, faculty and physical therapy professional salaries.
Aims: Waist circumference is a convenient measure of abdominal adipose tissue,it correlates closely with BMI and is strongly linked to obesity- related risk factors. The sex specific waist circumference currently proposed for European male is 94 centimetres and for females is 80 cm. Thus, there is a need to develop sex specific waist circumference cut-offs points appropriate for different population (W.H.O).. The aims are to determine the appropriate waist cut-offs for identifying people with body mass index (≥25 kg/m2) and those with B.M.I (≥30 kg/m2) among Tunisian adult population (north Africa country).. Materials and methods: We used a sample of the Tunisian National Nutrition Survey a cross-sectional health survey, conducted in 1996 on a large nationally representative sample which included 2927 adults over 20 years old who had measurements of height, body weight, wait circumference, blood pressure, fasting plasma glucose, total cholesterol and triglycerides. Receiver operating ...
Missing data often cause problems in longitudinal cohort studies with repeated follow-up waves. Research in this area has focussed on analyses with missing data in repeated measures of the outcome, from which participants with missing exposure data are typically excluded. We performed a simulation study to compare complete-case analysis with Multiple imputation (MI) for dealing with missing data in an analysis of the association of waist circumference, measured at two waves, and the risk of colorectal cancer (a completely observed outcome). We generated 1,000 datasets of 41,476 individuals with values of waist circumference at waves 1 and 2 and times to the events of colorectal cancer and death to resemble the distributions of the data from the Melbourne Collaborative Cohort Study. Three proportions of missing data (15, 30 and 50%) were imposed on waist circumference at wave 2 using three missing data mechanisms: Missing Completely at Random (MCAR), and a realistic and a more extreme covariate-dependent
BACKGROUND: Obesity is related to multiple cardiovascular disease (CVD) risk factors as well as CVD and has a strong familial component. We tested for association between SNPs on the Affymetrix 100K SNP GeneChip and measures of adiposity in the Framingham Heart Study. METHODS: A total of 1341 Framingham Heart Study participants in 310 families genotyped with the Affymetrix 100K SNP GeneChip had adiposity traits measured over 30 years of follow up. Body mass index (BMI), waist circumference (WC), weight change, height, and radiographic measures of adiposity (subcutaneous adipose tissue, visceral adipose tissue, waist circumference, sagittal height) were measured at multiple examination cycles. Multivariable-adjusted residuals, adjusting for age, age-squared, sex, smoking, and menopausal status, were evaluated in association with the genotype data using additive Generalized Estimating Equations (GEE) and Family Based Association Test (FBAT) models. We prioritized mean BMI over offspring ...
TY - JOUR. T1 - Secular trends in the association between nativity/length of US residence with body mass index and waist circumference among Mexican-Americans, 1988-2008. AU - Albrecht, Sandra S.. AU - Diez Roux, Ana V.. AU - Aiello, Allison E.. AU - Schulz, Amy J.. AU - Abraido-Lanza, Ana. PY - 2013/1/1. Y1 - 2013/1/1. N2 - Objectives: We investigated whether associations between nativity/length of US residence and body mass index (BMI) and waist circumference (WC) varied over the past two decades. Methods: Mexican-Americans aged 20-64 years from the National Health and Nutrition Survey (NHANES) III (1988-1994), and NHANES (1999-2008). Sex-stratified multivariable linear regression models further adjusted for age, education, and NHANES period. Results: We found no evidence of secular variation in the nativity/length of US residence gradient for men or women. Foreign-born Mexican-Americans, irrespective of residence length, had lower mean BMI and WC than their US-born counterparts. However among ...