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Relevant bibliographies by topics / Waist to hip ratio (WHR)

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Journal articles

Academic literature on the topic 'Waist to hip ratio (WHR)'

Author: Grafiati

Published: 10 September 2021

Last updated: 1 February 2022

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Journal articles on the topic "Waist to hip ratio (WHR)"

1

Spencer, Elizabeth A., Andrew W. Roddam, and Timothy J. Key. "Accuracy of self-reported waist and hip measurements in 4492 EPIC–Oxford participants." Public Health Nutrition 7, no. 6 (2004): 723–27. http://dx.doi.org/10.1079/phn2004600.

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AbstractObjective:To assess the accuracy of self-reported waist and hip circumferences and the waist-to-hip ratio (WHR) by comparison with measured waist and hip circumferences and WHR in a sample of middle-aged men and women.Design:Analysis of measured and self-reported waist and hip data from participants in the Oxford cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC–Oxford).Participants:Four thousand four hundred and ninety-two British men and women aged 35–76 years.Results:Spearman's rank correlation coefficients between measured and self-reported waist, hip

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Panda, Prem S., Kamlesh K. Jain, Gopal P. Soni, Shubhra A. Gupta, Srishti Dixit, and Jitendra Kumar. "Prevalence of hypertension and its association with anthropometric parameters in adult population of Raipur city, Chhattisgarh, India." International Journal of Research in Medical Sciences 5, no. 5 (2017): 2120. http://dx.doi.org/10.18203/2320-6012.ijrms20171854.

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Background: Obesity is now an important emerging public health problem in India. It is one of the major risk factor for hypertension. Overweight persons have two to six fold increase in the risk of developing hypertension. This study was carried out with objective to find out prevalence of Hypertension and assess its association with four obesity-related indices- body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR).Methods: A cross-sectional community-based study was done among 640 study subjects of age group 25-59 years during July 2015 t

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Susilo, Mursid Tri, Salimar, Helda Khusun, and Saptawati Bardosono. "Waist Circumference, Waist-to-Height Ratio, and Waist-to-Hip Ratio Profiles of Under-Fives Children from a Cohort Study in Bogor." Advanced Science Letters 24, no. 8 (2018): 6280–88. http://dx.doi.org/10.1166/asl.2018.12713.

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Waist Circumference (WC), Waist-to-Height Ratio (WHtR) and Waist-to-Hip Ratio (WHR) were concerned as new screening indicators to detect obesity among under-fives children. Those data were compared to the Waist-to-Height Z-Score (WHZ) and Body Mass Index (BMI)-for-Age as the commonest indicators. A cross-sectional study was conducted among 370 children age 24–59 months old, nested with the Bogor Child and Development (BCD) cohort study by Indonesian Agency for Health Research and Development, Ministry of Health. The subjects and area of the study were referred to the BCD cohort study. ROC curv

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Liu, Zhizhen, Hongqing Yang, Shiya Chen, Jing Cai, and Zijie Huang. "The association between body mass index, waist circumference, waist–hip ratio and cognitive disorder in older adults." Journal of Public Health 41, no. 2 (2018): 305–12. http://dx.doi.org/10.1093/pubmed/fdy121.

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Abstract Purpose To examine the association between body mass index (BMI), waist circumference (WC), waist–hip ratio (WHR) and cognitive disorder in older adults. Methods Cross-sectional data from the mini-mental state examination questionnaire and physical examination of older adults (≥65, n = 1037) were collected and analyzed. Logistic regression examined the odds ratios (ORs) of cognitive performance according to BMI, WC and WHR. Results The prevalence of cognitive dysfunction in older adults was 13.0%. The BMI-based overweight rate, obesity rate and central obesity rate calculated by eithe

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Zheng, Rui-Dan, Zhuo-Ran Chen, Jian-Neng Chen, Yan-Hui Lu, and Jie Chen. "Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease." Gastroenterology Research and Practice 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/362147.

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Objective.To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD).Methods.The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height (WHtR) and waist-to-hip ratio (WHR) were calculated. M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors.Patients or Materials.490 patients were recruited, of whom 250 were diagnosed as NAFLD and 240 as non-NAFLD (control group).Results.Compared with the c

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Bener, Abdulbari, Mohammad T. Yousafzai, Sarah Darwish, Abdulla O. A. A. Al-Hamaq, Eman A. Nasralla, and Mohammad Abdul-Ghani. "Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio." Journal of Obesity 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/269038.

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Aim. The aim was to compare body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), and waist height ratio (WHtR) to identify the best predictor of metabolic syndrome (MetS) among Qatari adult population.Methods. A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII) and International Diabetes Federation (IDF). Receiver operating characteristics (ROC) curve analysis was performed.Results. Among men, WC followed by WHR and WHtR yielded the

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Joshi, Bishal, Laxmi Shrestha, Kushal Bhattarai, Nilu Manandhar, and Narayan Bahadur Mahotra. "Comparison of Central Obesity with Overall Obesity in Predicting the Risk of Type 2 Diabetes Mellitus." Journal of Universal College of Medical Sciences 7, no. 1 (2019): 17–21. http://dx.doi.org/10.3126/jucms.v7i1.24680.

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INTRODUCTION: Many studies have shown the association of waist circumference, waist hip ratio and body mass index with type 2 diabetes mellitus. Waist circumference and waist hip ratio have been used as measures of central obesity and body mass index has been used as a measure of general obesity. Objective of this study is to find out which type of obesity is better for prediction of risk of type 2 diabetes mellitus. MATERIAL AND METHODS:Total 100 participants with confirmed diagnosis of type 2 DM with age group 35-80 years were selected for the study. Anthropometric measurements like he

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Senghor, Arul, Meera Shivashekar, and Vm Vinodhini. "SERUM LEPTIN AND ADIPOSITY INDICATORS IN INFERTILE FEMALES OF REPRODUCTIVE AGE GROUP." Asian Journal of Pharmaceutical and Clinical Research 11, no. 6 (2018): 341. http://dx.doi.org/10.22159/ajpcr.2018.v11i6.23569.

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Objectives: This study was designed to evaluate the interrelationship of adiposity indicators such as body mass index (BMI), waist circumference (WC), hip circumference, waist–hip ratio and waist height ratio, body adiposity index (BAI) in obese and non-obese female individuals unable to conceive. And also to correlate serum leptin levels with adiposity indicators in infertile females of reproductive age group.Materials and Methods: Infertile females of reproductive age group were classified as obese and non-obese individuals based on BMI and waist–hip ratio. Serum leptin levels were estimated

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Abolfotouh, Mostafa A., Sunny A. Sallam, Mohammed S. Mohammed, Amany A. Loutfy, and Ali A. Hasab. "Prevalence of Elevated Blood Pressure and Association with Obesity in Egyptian School Adolescents." International Journal of Hypertension 2011 (2011): 1–8. http://dx.doi.org/10.4061/2011/952537.

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Aim. To investigate the relationship between high blood pressure (HBP) and obesity in Egyptian adolescents.Methods. A cross-sectional study of 1500 adolescents (11–19 years) in Alexandria, Egypt, was conducted. Resting BP was measured and measurements were categorized using the 2004 fourth report on blood pressure screening recommendations. Additional measures included height, weight, and waist and hip circumferences. Obesity was determined based on BMI, waist circumference (WC) and waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) indicators. Crude and adjusted odds ratios were used

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Su, Winnie S., Catherine M. Clase, K. Scott Brimble, Peter J. Margetts, Trevor J. Wilkieson, and Azim S. Gangji. "Waist-to-Hip Ratio, Cardiovascular Outcomes, and Death in Peritoneal Dialysis Patients." International Journal of Nephrology 2010 (2010): 1–5. http://dx.doi.org/10.4061/2010/831243.

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Objectives. The primary objective of this study was to determine the relationship between waist-to-hip ratio (WHR), cardiovascular (CV) events, and mortality in peritoneal dialysis (PD) patients. A secondary objective was to investigate the association between abdominal obesity and systemic inflammatory markers.Methods. This is a prospective study of 22 prevalent PD patients. WHR was measured at baseline. C-reactive protein (CRP), tumour necrosis factor-α(TNF-α), and interleukin-6 (IL-6) were measured. Main outcomes were first CV event and death from all causes. Survival analysis was used to e

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