Results Subjects were 325 children consisting of 187 males and 138 females. Hypertension was diagnosed in 47 children (37 males and 10 females). Mean waist circumference and waist-hip circumference ratio were significantly higher in the hypertensive group than in the normotensive group. The hypertensive group had a mean waist circumference of 72.6 (SD 12.8) cm, AUC 0.779 (95%CI 0.730 to 0.823; P,0.001), cut-off point ,65 cm, sensitivity 66.0%, specificity 76.3%, and prevalence ratio 4.55. This group had mean waist-hip ratio of 0.94 (SD 0.10), AUC 0.724 (95%CI 0.672 to 0.772; P,0.001), waist-hip ratio cut-off ,0.91, sensitivity 59.6%, specificity 77.0%, and prevalence ratio 3.73. ...

Waist-hip ratio or waist-to-hip ratio (WHR) is the dimensionless ratio of the circumference of the waist to that of the hips. This is calculated as waist measurement divided by hip measurement (W ÷ H). For example, a person with a 30″ (76 cm) waist and 38″ (97 cm) hips has a waist-hip ratio of about 0.79. The WHR has been used as an indicator or measure of health, and the risk of developing serious health conditions. WHR correlates with fertility (with different optimal values in males and females). According to the World Health Organisations data gathering protocol, the waist circumference should be measured at the midpoint between the lower margin of the last palpable rib and the top of the iliac crest, using a stretch‐resistant tape that provides a constant 100 g tension. Hip circumference should be measured around the widest portion of the buttocks, with the tape parallel to the floor. Other organizations use slightly different standards. The United States National Institutes of ...

Objective: To examine the relationship between body mass index (BMI) and waist-hip ratio (WHR) with serum levels of insulinlike growth factor-I (IGF-I), and its binding protein (IGFBP)-3. Design: Cross-sectional study on 2139 women participating in a case-control study on breast cancer and endogenous hormones. Data on lifestyle and reproductive factors were collected by ... read more means of questionnaires. Body height, weight, waist and hip circumferences were measured. Serum levels of IGF-I and insulin-like binding protein (IGFBP)-3 were measured by enzymelinked immunosorbent assays. Adjusted mean levels of IGF-I and IGFBP-3 across quintiles of BMI, waist circumference, and WHR were calculated by linear regression. Results were adjusted for potential confounders associated with IGF-I and IGFBP-3. Results: Adjusted mean serum IGF-I values were lower in women with BMIo22.5 kg/m2 or BMI429.2 kg/m2 compared to women with BMI within this range (Pheterogeneityo0.0001, Ptrend¼0.35). Insulin-like ...

Objective - To compare the prevalence of glucose intolerance impaired glucose tolerance and diabetes, and Its relationship to body mass index BMI and waist-hip ratio in Chinese and Europid adults. Design - This was a cross sectional study. Setting - Newcastle upon Tyne. Subjects - These comprised Chinese and Europid men and women, aged 25-64...

Objective:We hypothesized that genes within recently identified loci associated with waist-hip ratio (WHR) exhibit fat depot-specific mRNA expression, which correlates with obesity-related traits.Methods:Adipose tissue (AT) mRNA expression of 6 genes (TBX15/WARS2, STAB1, PIGC, ZNRF3 and GRB14) within these loci showing coincident cis-expression quantitative trait loci was measured in 222 paired samples of human visceral (vis) and subcutaneous (sc) AT. The relationship of mRNA expression levels with obesity-related quantitative traits was assessed by Pearsons correlation analyses. Multivariate linear relationships were assessed by generalized linear regression models.Results:Whereas only PIGC, ZNFR3 and STAB1 mRNA expression in sc AT correlated nominally with WHR (P | 0.05, adjusted for age and sex), mRNA expression of all studied genes in at least one of the fat depots correlated significantly with vis and/or sc fat area (P ranging from 0.05 to 4.0 × 10 6 , adjusted for age and sex). Consistently, the

Association of Body Mass Index, Waist-Hip Ratio, Zinc, Copper, CD4+ T Cells Count and Viral Load in Early HIV Infection in ART Naïve HIV Infected Adults in Taita Taveta County, Kenya

The investigators looked at BMI, waist-to-hip ratio, waist measure, and hip measure in more than 27,000 people from 52 countries. Half the participants had previously had a heart attack and half were age and sex-matched controls (individuals who had not had a heart attack and were the same age and sex as cases). The team found that BMI was only slightly higher in heart attack patients than in controls, with no difference in the Middle East and South Asia. By contrast, heart attack patients had a strikingly higher waist-to-hip ratio than controls, irrespective of other cardiovascular risk factors. The researchers found that this observation was consistent in men and women, across all ages, and in all regions of the world ...

Heid IM., Jackson AU., Randall JC., Winkler TW., Qi L., Steinthorsdottir V., Thorleifsson G., Zillikens MC., Speliotes EK., Mägi R., Workalemahu T., White CC., Bouatia-Naji N., Harris TB., Berndt SI., Ingelsson E., Willer CJ., Weedon MN., Luan J., Vedantam S., Esko T., Kilpeläinen TO., Kutalik Z., Li S., Monda KL., Dixon AL., Holmes CC., Kaplan LM., Liang L., Min JL., Moffatt MF., Molony C., Nicholson G., Schadt EE., Zondervan KT., Feitosa MF., Ferreira T., Allen HL., Weyant RJ., Wheeler E., Wood AR., Estrada K., Goddard ME., Lettre G., Mangino M., Nyholt DR., Purcell S., Smith AV., Visscher PM., Yang J., McCarroll SA., Nemesh J., Voight BF., Absher D., Amin N., Aspelund T., Coin L., Glazer NL., Hayward C., Heard-Costa NL., Hottenga J-J., Johansson A., Johnson T., Kaakinen M., Kapur K., Ketkar S., Knowles JW., Kraft P., Kraja AT., Lamina C., Leitzmann MF., McKnight B., Morris AP., Ong KK., Perry JRB., Peters MJ., Polasek O., Prokopenko I., Rayner NW., Ripatti S., Rivadeneira F., Robertson NR., ...

Waist-to-hip ratio is the ratio of your waist circumference to your hip circumference. This calculator is used to find the proportion of fat stored on your waist and hip.

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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 ...

Results The data included up to 66 809 never-smokers, 43 009 former smokers and 38 913 current daily cigarette smokers. Among current smokers, for each extra minor allele, the geometric mean was lower for waist circumference by −0.40% (95% CI −0.57% to −0.22%), with effects on hip circumference, waist-hip ratio and body mass index (BMI) being −0.31% (95% CI −0.42% to −0.19), −0.08% (−0.19% to 0.03%) and −0.74% (−0.96% to −0.51%), respectively. In contrast, among never-smokers, these effects were higher by 0.23% (0.09% to 0.36%), 0.17% (0.08% to 0.26%), 0.07% (−0.01% to 0.15%) and 0.35% (0.18% to 0.52%), respectively. When adjusting the three central adiposity measures for BMI, the effects among current smokers changed direction and were higher by 0.14% (0.05% to 0.22%) for waist circumference, 0.02% (−0.05% to 0.08%) for hip circumference and 0.10% (0.02% to 0.19%) for waist-hip ratio, for each extra minor allele. ...

Thus, a WHR that indicates pubertal onset, sex, fertility, hormonal irregularities, and/or differentiates male from female in one population may not do so in another.[48]. In a series of 1993 studies done by Singh, men used WHR and overall body fat to determine a womans attractiveness. In his first study, men were shown a series of 12 drawings of women with various WHRs and body fat. Drawings with normal weight and a low WHR were associated with the most positive traits (i.e. attractive, sexy, intelligent and healthy). The drawings of thin female figures were not associated with any positive traits except youthfulness.[49]. Through this study, Singh suggests that males and females may have developed innate mechanisms which detect and make use of the WHR to assess how healthy an individual is and (particularly for men), infer possible mate value. Having a healthy mate improves the chances of producing offspring with inherited genetic protection from various diseases and a healthy mate is more ...

Author: SUMATHI.P, SHANMUGHA VADIVU.R. Category: Physiology. [Download PDF]. Abstract:. Background: Hypertension is a chronic condition of concern due to its role in causing coronary heart disease, stroke and other vascular complications. Adverse association of cardiovascular risk factors in children and young adults with a parental history of the disease is well recognized. Body mass and obesity relate strongly with the development of higher percentiles of blood pressure (BP). Objective: The present study is aimed to find out any observed differences in the BP, Body mass index (BMI) and Waist-hip ratio in young adults of hypertensive parents. Methods: A descriptive cross sectional study was done on 100 Ist year students of a college. After getting the Institutional Ethical Committee clearance and informed consent from all the participants, BP, BMI and Waist-hip ratio in the apparently healthy children of hypertensive and normotensive parents were measured and compared. Children of the ...

Waist-to-hip ratio, not body mass index (BMI), is the best obesity measure for assessing a persons risk of heart attack, concludes a global study published in this weeks issue of The Lancet. If obesity is redefined using waist-to-hip ratio instead of BMI the proportion of people at risk of heart attack increases by threefold, calculate the authors.

3050 words Why are men attracted to low waist-to-hip ratios (WHR)? Like with a lot of our preferences, there is an evolutionary reason why men are attracted to low WHR. I came across a paper the other day by M.D. William Lassek, Assistant Professor of Epidemiology and Research Associate in the department of Anthropology at the…

Warwick Medical School researchers Professor F P Cappuccio and Dr M A Miller have studied a large group of people, belonging to 3 different ethnic groups, and have measured a variety of markers of inflammatory activation and related these to measures of obesity or fatness such as body mass index (BMI) and waist-hip ratio (WHR). The study clearly showed that the levels of sE-selectin, a marker of inflammation produced by artery vessel walls, are strongly associated with measures of obesity, and in particular with the amount of fat around the waist. The research found that every 2% increase in sE-selectin led to the increase of 1 unit in Body Mass Index and 0.01 units in Waist - Hip Ratios ...

Interrelations between Body Mass Index, Percentage of Body Fat, and Waist-to-Hip Ratio among different groups of students at the University of Banja ...

BACKGROUND Body size has been hypothesized to influence the risk of prostate cancer; however, most epidemiologic studies have relied on body mass index (BMI) to assess adiposity, whereas only a few studies have examined whether body fat distribution predicts prostate cancer. METHODS We examined the association of height, BMI, waist and hip circumference, and waist-hip ratio with prostate cancer risk among 129,502 men without cancer at baseline from 8 countries of the European Prospective Investigation into Cancer and Nutrition (EPIC), using Cox regression, with age as time metric, stratifying by study center and age at recruitment, and adjusting for education, smoking status, alcohol consumption, and physical activity. RESULTS During a mean follow-up of 8.5 years, 2,446 men developed prostate cancer. Waist circumference and waist-hip ratio were positively associated with risk of advanced disease. The relative risk of advanced prostate cancer was 1.06 (95% confidence interval, 1.01-1.1) per 5-cm

BACKGROUND: Body size has been hypothesized to influence the risk of prostate cancer; however, most epidemiologic studies have relied on body mass index (BMI) to assess adiposity, whereas only a few studies have examined whether body fat distribution predicts prostate cancer. METHODS: We examined the association of height, BMI, waist and hip circumference, and waist-hip ratio with prostate cancer risk among 129,502 men without cancer at baseline from 8 countries of the European Prospective Investigation into Cancer and Nutrition (EPIC), using Cox regression, with age as time metric, stratifying by study center and age at recruitment, and adjusting for education, smoking status, alcohol consumption, and physical activity. RESULTS: During a mean follow-up of 8.5 years, 2,446 men developed prostate cancer. Waist circumference and waist-hip ratio were positively associated with risk of advanced disease. The relative risk of advanced prostate cancer was 1.06 (95% confidence interval, 1.01-1.1) per 5-cm

The ratio of waist to hip circumference is widely used to characterize fat distribution patterns but the locations for measurement are not standardized. Between 1986 and 1988, we measured two waist and two hip circumferences on 616 Hispanic and non-H

References. 1. Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism 2019; 92: 6-10. [ Links ] 2. Meadows R, Bower JK. Associations of anthropometric measures of obesity with physical limitations in older adults. Disabil Rehabil 2018; 1-6. [ Links ] 3. Vidal Martins M, Queiroz Ribeiro A, Oliveira Martinho K, Silva Franco F, Danésio de Souza J, Bacelar Duarte de Morais K, et al. Anthropometric indicators of obesity as predictors of cardiovascular risk in the elderly. Nutr Hosp 2015; 31 (6): 2583-9. [ Links ] 4. WHO. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation. 2011 [Consulted on January 25, 2019]. Available from: http://apps.who.int/iris/bitstream/handle/10665/44583/?sequence=1. [ Links ] 5. Castanheira M, Chor D, Braga JU, de Oliveira Cardoso L, Griep RH, Molina M, et al. Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline. Public Health Nutr 2018; ...

References. 1. Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism 2019; 92: 6-10. [ Links ] 2. Meadows R, Bower JK. Associations of anthropometric measures of obesity with physical limitations in older adults. Disabil Rehabil 2018; 1-6. [ Links ] 3. Vidal Martins M, Queiroz Ribeiro A, Oliveira Martinho K, Silva Franco F, Danésio de Souza J, Bacelar Duarte de Morais K, et al. Anthropometric indicators of obesity as predictors of cardiovascular risk in the elderly. Nutr Hosp 2015; 31 (6): 2583-9. [ Links ] 4. WHO. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation. 2011 [Consulted on January 25, 2019]. Available from: http://apps.who.int/iris/bitstream/handle/10665/44583/?sequence=1. [ Links ] 5. Castanheira M, Chor D, Braga JU, de Oliveira Cardoso L, Griep RH, Molina M, et al. Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline. Public Health Nutr 2018; ...

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You totally want to ditch your scale, dont you? And you know what…I think you should! What you weigh can matter, but only to a certain extent. Body composition plays a very important role! Lets look at your waist circumference (well…you look at yours and Ill look at mine ;0). Waist Circumference (AKA

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 ...

RESULTS Waist-to-hip ratio (WHR) and waist circumference were independently associated with higher 2-h glycemia. Glycemic level was 0.11 and 0.13 mmol/l greater for each standard deviation increase in WHR (0.06) and waist circumference (8.0 cm), respectively (P , 0.02). Restricting analyses to the subset of women with uterine height ≤ 26 cm improved the association (0.13 and 0.19 mmol/l, respectively, P , 0.02); differences of 0.22 and 0.19 mmol/l were observed for 1 SD changes in the sum of skinfold thicknesses (24.7 mm) and in age (5.5 years), respectively.. ...

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

Higher SBP per standard deviation of each adiposity measure among men. The differences in SBP per 1 SD of each adiposity measure were calculated, with SBP regre

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 ...

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...

BMI measurements are inappropriate in older people and should be replaced by waist-hip ratios, say the researchers on a new study.. The London-based team found BMI overestimated risk of mortality from excess weight in those over 75 and might also underestimate the risks of low body weight.. Study leader Professor Astrid Fletcher, professor of epidemiology and ageing at the London School of Hygiene and Tropical Medicine, said: Our data make it very clear that waist-to-hip is very useful in the elderly.. She added: People who have very low BMI are people who have lost both fat and muscle. They havent had enough attention either.. During follow up of 14,833 people aged 75 and over from 53 practices in the UK, 6,649 died. BMI was not associated with circulatory mortality in men and was negatively associated in women.. But after adjusting for BMI, waist-to-hip ratio did predict the risk of circulatory deaths. In men, the top quartile was at a 60 per cent greater risk than the bottom quartile, in ...

TY - JOUR. T1 - Sex and area differences in the association between adiposity and lipid profile in Malawi. AU - Soares, Ana Luiza G.. AU - Banda, Louis. AU - Amberbir, Alemayehu. AU - Jaffar, Shabbar. AU - Musicha, Crispin. AU - Price, Alison. AU - Nyirenda, Moffat J.. AU - Lawlor, Debbie A.. AU - Crampin, Amelia. PY - 2019/9/11. Y1 - 2019/9/11. N2 - Background: Evidence from high-income countries shows that higher adiposity results in an adverse lipid profile, but it is unclear whether this association is similar in Sub-Saharan African (SSA) populations. This study aimed to assess the association between total and central adiposity measures and lipid profile in Malawi, exploring differences by sex and area of residence (rural/urban). Methods: In this cross-sectional study, data from 12,096 rural and 12,847 urban Malawian residents were used. The associations of body mass index (BMI) and waist-hip ratio (WHR) with fasting lipids (total cholesterol (TC), low density lipoprotein-cholesterol ...

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. ...

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P , 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes ...

TY - JOUR. T1 - Anthropometric factors and risk of endometrial cancer. T2 - The European prospective investigation into cancer and nutrition. AU - Friedenreich, Christine. AU - Cust, Anne. AU - Lahmann, Petra H.. AU - Steindorf, Karen. AU - Boutron-Ruault, Marie Christine. AU - Clavel-Chapelon, Françoise. AU - Mesrine, Sylvie. AU - Linseisen, Jakob. AU - Rohrmann, Sabine. AU - Boeing, Heiner. AU - Pischon, Tobias. AU - Tjønneland, Anne. AU - Halkjær, Jytte. AU - Overvad, Kim. AU - Mendez, Michelle. AU - Redondo, M. L.. AU - Garcia, Carmen Martinez. AU - Larrañaga, Nerea. AU - Tormo, María José. AU - Gurrea, Aurelio Barricarte. AU - Bingham, Sheila. AU - Khaw, Kay Tee. AU - Allen, Naomi. AU - Key, Tim. AU - Trichopoulou, Antonia. AU - Vasilopoulou, Effie. AU - Trichopoulos, Dimitrios. AU - Pala, Valeria. AU - Palli, Domenico. AU - Tumino, Rosario. AU - Mattiello, Amalia. AU - Vineis, Paolo. AU - Bueno-de-Mesquita, H. Bas. AU - Peeters, Petra H M. AU - Berglund, Göran. AU - Manjer, ...

Obesity Diagram - Obesity Chart - Obesity charts show the level of obesity for women and men. This type of graphic is often referred to as weight height chart. So what weight is considered obese? What is obesity in general? Am I obese or am I overweight and what is the difference? These questions can be answered by analyzing the below diagram, which provides an objective measurement and serves as good guidance in terms of whether one has excessive weight and fat. Height is an important component as it is expected that tall individuals will have more weight. Bone density may be another factor and ones appearance may not fully correspond to the obesity indicator. Obesity weight for a given height is presented in the below table. The below chart displays overweight, obese, normal and underweight weight by persons height as well as a corresponding Body Mass Index (BMI).. ...

All household members in 1991 and subsequent surveys provided individual data on dietary intake, body composition, blood pressure, health history, and health-related behaviors (e.g., smoking, beverage consumption, medication, key chronic diseases). These data include dietary intake for three consecutive days as well as detailed physical examinations that include blood pressure (for adults); clinical measures of health; and measurement of weight, height, arm circumference, and head circumference (and waist-hip ratios beginning in 1993).. The three consecutive days during which detailed household food consumption data have been collected were randomly allocated from Monday to Sunday and are almost equally balanced across the seven days of the week for each sampling unit. Household food consumption has determined by examining changes in inventory from the beginning to the end of each day, in combination with a weighing and measuring technique. Chinese balances with a maximum limit of 15 kilograms ...

Ordinarily, for all height, body frame and gender, a Body Mass Index [BMI] of 19-25 kg/m2 is considered normal. A BMI of 30 is a limit beyond which substantial morbidity begins.. As a matter of fact, studies have shown that morbidity starts rising at BMI ,25. Therefore, a BMI between 25 and 30 is now classified as overweight.. Doctors usually show concern if a persons BMI is above 25, especially if s/he also has high blood pressure [hypertension] and heart disease.. The distribution of fat cells also matters; for example, abdominal fat is worse than fat in the buttocks and arms. This is where waist-to-hip ratio [WHR] comes into play as a better tool. Waist-to-hip ratio looks at the proportion of fat stored on your body around your waist and hip. Most people store their body fat in two distinctive ways: a] around their middle [apple-shape] and b] around their hips [pear-shape]. WHR is calculated by dividing your waist measurement by your hip measurement. A ratio of ,0.9 in women and ,1.0 in men ...

This is a purposive open-ended study that consisted of a baseline, monthly and final measurements (at the end of nutrient supplementation) that lasted for six months. Anthropometric measurements (BMI, percentage fat, waist-to-hip ratio and lean body mass) were done at baseline, monthly and at the end of study (final measurement) using known standard methods. The T-lymphocytes subsets were determined using flow cytometer. Participants fulfilled certain criteria for inclusion in the study. At baseline, of the 35 patients recruited into the study, 32 (94.1%) showed a fat percentage below normal range. Twenty-four of the patients (68.6%) had body mass index (BMI) within normal range, while a greater percentage of the patients had a normal waist-to-hip ratio (WHR). Of the 28 patients that completed the study, 26 (96.3%) reported a fat percentage of below 18.5%. There was no significant difference (P>0.05) between the fat percentage at baseline and end of the study in the whole group. The results ...

A non-pharmacological diagnostic approach to study correlation between anthropometric indices and lipid profile in adult females-A review-IJCAAP-Print ISSN No:-2581-5555 Online ISSN No:-2456-9542Article DOI No:-10.18231/2456-9542.2018.0019,IP International Journal of Comprehensive and Advanced Pharmacology-IP Innovativ

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.

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

BackgroundThe association between physical fitness performance tests and anthropometric indices is not clear. The study aims to explore the association between physical fitness performance and anthropometric indices in Taiwanese community-dwelling adults. This may help in monitoring anthropometric indices to improve physical fitness.MethodsWe recruited 2216 participants aged 23-64 years between 2014 and 2017. Physical fitness performance, including abdominal muscular endurance (60-s sit-up test), flexibility (sit-and-reach test), and cardiorespiratory endurance (3-min step test), was evaluated in all participants. The association of the physical fitness performance and anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), was analyzed using linear regression, with adjustments for age and gender.ResultsBody mass index was negatively associated with abdominal muscular endurance (p p 2. Participants with central

TY - CONF. T1 - Body mass index and waist-to-height ratio as a predictors of metabolic syndrome. AU - Rumpe, Sabīne. AU - Daniļenko, Jeļena. PY - 2021/3/24. Y1 - 2021/3/24. N2 - The purpose of this study was to evaluate and compare usefulness of the body mass index (BMI) and waist-to-height ratio (WHtR) in screening for metabolic syndrome (MS). A cross-sectional study was conducted in MFD Outpatient hospital Ilguciems from October 2017 to March 2018 and continued from October 2020 to December 2020. The patients were asked to complete a questionnaire about their socio-demographic characteristics and lifestyle factors. Patients systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), serum triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) levels were measured. Disease history were studied. Anthropometric measurements (height, weight and WC) were taken. BMI and WHtR were calculated. All statistical analysis was performed in IBM SPSS 23.0. The ...

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

OBJECTIVE: To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD). PATIENTS AND METHODS: We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality. RESULTS: Patients mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI

OBJECTIVES: The present study aimed to examine whether habitual snoring was independently associated with risk of type 2 diabetes among Chinese adults, and to assess the role that adiposity measures play in the snoring-diabetes association, as well as to evaluate the joint influence of snoring and adiposity measures on diabetes. RESEARCH DESIGN AND METHODS: The China Kadoorie Biobank study recruited 512 715 adults aged 30-79 years from 10 regions in China during 2004 and 2008. Data from 482 413 participants without baseline diabetes were analyzed in the present study. Autoregressive cross-lagged panel analysis was used to assess the longitudinal relationship between adiposity measures and habitual snoring. Cox proportional hazards models were used to examine the association between habitual snoring and diabetes risk. RESULTS: Both higher body mass index and waist circumference were associated with higher risks of subsequent habitual snoring, whereas no reverse association was detected. A total of 16 479

BACKGROUND: Whether measures of central adiposity are more or less strongly associated with risk of albuminuria than body mass index (BMI), and by how much diabetes/levels of glycosylated haemoglobin (HbA1c) explain or modify these associations, is uncertain. METHODS: Ordinal logistic regression was used to estimate associations between values of central adiposity (waist-to-hip ratio) and, separately, general adiposity (BMI) with categories of urinary albumin-to-creatinine ratio (uACR) in 408,527 UK Biobank participants. Separate central and general adiposity-based models were initially adjusted for potential confounders and measurement error, then sequentially, models were mutually adjusted (e.g. waist-to-hip ratio adjusted for BMI, and vice versa), and finally they were adjusted for potential mediators. RESULTS: Levels of albuminuria were generally low: 20,425 (5%) had a uACR ≥3 mg/mmol. After adjustment for confounders and measurement error, each 0.06 higher waist-to-hip ratio was associated with a

Results After adjustment for a range of covariates, higher levels of all obesity measures were related to lower gray matter volume: BMI per 1 SD (β coefficient −4,113, 95% confidence interval [CI] −4,862 to −3,364), WHR (β coefficient −4,272, 95% CI −5,280 to −3,264), and fat mass (β coefficient −4,590, 95% CI −5,386 to −3,793). The combination of overall obesity (BMI ≥30 kg/m2) and central obesity (WHR ,0.85 for women, ,0.90 for men) was associated with the lowest gray matter compared with that in lean adults. In hypothesis-free testing with a Bonferroni correction, obesity was also related to various regional brain volumes, including caudate, putamen, pallidum, and nucleus accumbens. No associations between obesity and white matter were apparent. ...

Epidemiological studies assessing general and abdominal obesity measures or their combination for mortality prediction have shown inconsistent results. We aimed to systematically review the associations of body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC) and waist-to-height …

T2DM: Type 2 diabetes mellitus.. Introduction. Insulin resistance is considered as a precursor of Type 2 diabetes mellitus (T2DM), being an emerging problem among children and adolescents (1), and leading to long-term serious health consequences (2). The main risk factor for insulin resistance and T2DM is obesity, as defined by an excess of body fat (3). In adolescents, the most frequently identified features are diabetes precursors, as impaired glucose tolerance, and especially insulin resistance.. In the literature, a positive association between adiposity and insulin resistance in adolescents has been frequently described. However, in most cases simple methods to assess total body fat, such as the body mass index (BMI), have been used (4-6). Other studies used different anthropometric measurements/indices like sum of skinfold thickness (4,7), waist circumference (8) or waist-hip ratio (3). However, in adolescents, there is limited information on the role of different body components (fat and ...

Evidence suggests that lifestyle factors, e.g. physical activity, moderate the manifestation of genetic susceptibility to obesity. The present study uses UK Biobank data to investigate interaction between polygenic scores (PGS) for two obesity indicators, and lifestyle and psychosocial factors in the prediction of the two indicators, with attention to sex-specific effects. Lifestyle and psychosocial factors appear to offset genetic risk for adiposity in mid to late adulthood, with some sex-specific associations.

Most people are confused about the best way to calculate their current weight and just step on a scale to see how much they weigh. However, there are multiple factors that contribute to a persons weight gain and loss.. Everyones body is different as is every individuals ideal weight. Factors such as environment, genetics, habits, gender, age metabolism, and several other dynamics influence a persons weight. Just as importantly, one must consider ones body type, height, bone density, and fat to muscle ratio. Knowing this information is vital to help implement the right diet and exercise routine.. Following a general work-out and diet plan to become as ripped as a professional athlete or as curvaceous as a fashion model is not the best method to become fit, nor is using body mass index (BMI) or waist-hip ratio (WHR) alone the best means for calculating ones weight.. While BMI alone is no longer the best way to measure a persons body-fat ratio, combined with the WHR method one just might ...

Human body shape is a complex phenomenon with sophisticated detail and function. The general shape or figure of a person is defined mainly by the molding of skeletal structures, as well as the distribution of muscles and fat. Skeletal structure grows and changes only up to the point at which a human reaches adulthood and remains essentially the same for the rest of his or her life. Growth is usually completed between the ages of 13 and 18, at which time the epiphyseal plates of long bones close, allowing no further growth (see Human skeleton). During puberty, differentiation of the male and female body occurs for the purposes of reproduction. In adult humans, muscle mass may change due to exercise, and fat distribution may change due to hormone fluctuations. Inherited genes play a large part in the development of body shape. Due to the action of testosterone, males may develop these facial-bone features during puberty: A more prominent brow bone (bone across the centre of the forehead from ...

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.

A mans waist circumference may give some clues to his urinary and sexual health, according to researchers from NewYork-Presbyterian Hospital/

Its not the best way. According to a major study published in late 2005, the waist-to-hip ratio is three times more accurate than Body Mass Index, or BMI, at predicting cardiac risk.. ...

Achieve and maintain a healthy weight using the Body Mass Index and Waist/Hip Ratio, one of the best ways to feel great and lower risk of disease.

The Tan Stripe Swim Shorts are a pair of medium long swim shorts that combine sleek sporty style and a classic striped print. They have an elasticated waistband with drawstrings, a breathable lining, a rounded hemline with minimal slits and a welt pocket at the back. Made from recycled polyester. - Size Medium measures 80 cm in relaxed waist circumference, 104 cm in extended waist circumference and 10 cm inseam.

Moduly pre závesné WC mnohých značiek pre montáž závesných WC do masívnej konštrukcie aj len na sadrokartónovú priečku skladom a lacno !