Готові списки джерел за темами / Waist circumferences

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Добірка наукової літератури з теми "Waist circumferences"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Waist circumferences"

Nobre, Isabele Goes, Marcos Andre Moura-dos-Santos, Gabriela Goes Nobre, et al. "The mediation effect of anthropometry and physical fitness on the relationship between birthweight and basal metabolic rate in children." Journal of Developmental Origins of Health and Disease 11, no. 6 (2019): 640–47. http://dx.doi.org/10.1017/s2040174419000783.

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AbstractBackground:Birthweight (BW) has been associated with anthropometry, body composition and physical fitness during growth and development of children. However, less is known about the mediation effect of those variables on the relationship between BW and basal metabolic rate (BMR) in children.Objective:To analyse the mediation effect of anthropometry, body composition and physical fitness on the association between BW and BMR in children.Methods:In total, 499 children (254 boys, 245 girls) aged 7–10 years were included. Anthropometry (weight, height, head, waist and hip circumferences),

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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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Bhatti, Urooj, Zulfiqar Ali Laghari, and Muhammad Suleman Pirzado. "Association of body weight on pulmonary function tests in young individuals (aged 18- 40 years)- A cross-sectional study." LIAQUAT MEDICAL RESEARCH JOURNAL 3, no. 4 (2021): 90–95. http://dx.doi.org/10.38106/lmrj.2021.3.04-02.

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This was a prospective cross-sectional study conducted to evaluate association of waist, hip and thigh circumferences on respiratory parameters among young healthy adults. A total of 180 volunteers of different weight categories; including underweight, normal weight, over weight and obese people were recruited by using non-probability convenient sampling technique. Non-smoker males and females (non-pregnant), aged between 18-40 years with no pulmonary and cardiac disease were included in the study. Waist circumference, mid-thigh circumference, hip circumference and respiratory parameters were

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BANSAL, ASTHA, and P. C. JOSHI. "ESTIMATION OF WAIST AND HIP CIRCUMFERENCES USING BODY MASS INDEX IN DELHI SCHOOL GIRLS (6–11 YEARS)." Journal of Biosocial Science 47, no. 4 (2014): 554–58. http://dx.doi.org/10.1017/s0021932014000273.

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SummaryCentral obesity has been associated with the risk of cardiovascular and metabolic disease in children. A total of 358 Delhi school girls aged 6–11 years were measured for height, weight, waist circumference and hip circumference. The study demonstrates a linear correlation between body mass index (BMI) and waist and hip circumference and suggests an indirect method of estimating waist and hip circumferences, whose high values may be used for the diagnosis of metabolic syndrome and cardiovascular disease. Further investigations on different groups are needed to substantiate these results

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Gede Arta Eka Putra, I. Dewa, and I. Putu Yupindra Pradiptha. "Correlation Between Waist Circumferences With Obstructive Sleep Apnea Risk in Ent Clinic Sanglah Hospital Denpasar." Biomedical and Pharmacology Journal 12, no. 1 (2019): 347–51. http://dx.doi.org/10.13005/bpj/1646.

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Pauses in breathing during sleep or better known as obstructive sleep apnea (OSA) is one of the disorders that greatly disturb the quality of life of many people. Lifestyle changes such as reducing obesity can reduce OSA. One of the method to measure the level of obesity is the measurement of waist circumference, as one good indicator to know the risk of obstructive sleep apnea (OSA). Therefore, in this study would like to understand the relationship between waist circumferences with obstructive sleep apnea (OSA). This research method is analytical research with cross sectional study approach.

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Obaseki, Daniel O., Gregory E. Erhabor, Josephine E. Obaseki, Ibukun Abidoye, Akinjide Adebisi, and Babatunde Olaiya. "Obstructive Sleep Apnea, Excessive Daytime Sleepiness, and Road Traffic Accidents among Interstate Commercial Vehicle Drivers in Nigeria." Journal of Respiratory Medicine 2014 (October 14, 2014): 1–7. http://dx.doi.org/10.1155/2014/580264.

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Introduction. Obstructive sleep apnea (OSA) is a growing public health problem in developing countries. However the burden among commercial drivers is not well described. Methods. The Epworth Sleepiness Scale (ESS) and Berlin questionnaire were administered to interstate commercial road transport drivers to assess the tendency to sleep in daytime and the risk of OSA, respectively. Body mass index (BMI), neck, and waist-hip circumferences were measured. Results. Out of 138 commercial drivers, 124 (90%) responded and provided complete data. The mean (SD) age, BMI, neck, and waist circumferences

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Taiwo, Emmanuel, and Lateef olatunji O. Thanni. "Baseline anthropometric measurements and Obesity among students in Sagamu, Ogun State, southwest, Nigeria." Babcock University Medical Journal 5, no. 2 (2022): 103–9. http://dx.doi.org/10.38029/babcockunivmedj.v5i2.143.

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Objectives: This study was designed to determine the anthropometric characteristics and prevalence of obesity among secondary and undergraduate students in Sagamu. Methods: This cross-sectional study involved a selection of 260 students aged 10 to 33 years in Sagamu using a convenience sampling method. The weight, height, and waist and hip circumferences of each subject were measured. The body mass index was then calculated. Data were analyzed using SPSS version 25.0 and p-values< 0.05 were considered statistically significant. Results: The age ranges were 1o to 17 years (Secondary school (

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Polymeris, Antonis, Peter D. Papapetrou, and Georgios Katsoulis. "An Average Body Circumference Can Be a Substitute for Body Mass Index in Women." Advances in Medicine 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/592642.

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Introduction.Significant correlations between BMI and some body circumferences have been previously reported. In this study we investigated if the average of the sum of eight body circumferences can be a substitute for BMI.Patients and Methods.BMI and eight body circumferences (neck, waist, hip, arm, forearm, wrist, thigh, and ankle) were measured in 193 apparently healthy women aged 20–83, and within a wide range of BMI. Women with BMI ≤ 24.9 were designated as normal, with BMI 25–29.9 as overweight and with BMI ≥ 30 as obese. The relationship of the average body circumference (ABC) of the su

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Zhong, Yuting, Ying Li, Maolin Zhong, Cheng Peng, Hui Zhang, and Kejun Tian. "Association between waist circumference and sleep disorder in the elderly: Based on the NHANES 2005–2018." PLOS ONE 19, no. 9 (2024): e0308860. http://dx.doi.org/10.1371/journal.pone.0308860.

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The existing data do not consistently support the link between elderly adults’ waist circumferences and sleep disorders. This study aimed to evaluate whether waist circumference was connected with sleep disorder in the elderly. This cross-sectional study utilized data from the 2005–2018 National Health and Nutrition Examination Survey (NHANES) regarding waist circumference, sleep disorders, and confounding factors. Included in the study were participants older than 60 who completed sleep questionnaires and waist circumference measurements. Using a multivariate logistic regression model and sub

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Rizki, Mawarni Uli, Enny Probosari, and Choirun Nissa. "HUBUNGAN LINGKAR PINGGANG, RASIO LINGKAR PINGGANG TERHADAP TINGGI BADAN DAN INDEKS MASSA TUBUH DENGAN KADAR ASAM URAT WANITA USIA 45-55 TAHUN." Journal of Nutrition College 6, no. 4 (2017): 357. http://dx.doi.org/10.14710/jnc.v6i4.18788.

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Background: Hiperuricemia is a risk factor of degenerative diseases and metabolic syndrome. Elevated levels of uric acid are known to be linked with central obesity. Obesity can be determined by anthropometric measurements such as waist circumference, waist-to-height ratio and Body mass index. This study aimed to determine the correlation of waist circumference, waist-to-height ratio and body mass index with uric acid levels in women aged 45-55 years old. Method: This was an observational study with the cross-sectional design. Forty-six subjects were selected using simple random sampling. The

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Дисертації з теми "Waist circumferences"

Toriola, AL, DT Goon, BS Shaw, I. Shaw, S. Arogbonlo, and S. Wuam. "Gender differences in waist circumference in Nigerian children." African Journal for Physical, Health Education, Recreation and Dance (AJPHERD), 2009. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001058.

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The aim of this study was to develop age and sex specific reference values for waist circumference (WC) based on a sample of 2015 primary school children (i.e. 979 boys and 1036 girls aged 9 12 years) who were randomly selected from 19 primary schools in Makurdi, Benue State of Nigeria. Waist and hip circumferences were measured wi th a flexible anthropometric tape according to the protocol of the International Society for the Advancement of Kinanthropometry (ISAK). Mean WC was higher in girls than in boys, and these differences were statistically signi ficant from age 10 onwards. Similarly, h

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Goon, DT, AL Toriola, BS Shaw, and LO Amusa. "Centripetal fat patterning in South African children." Pakistan Journal of Medical Science, 2010. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000435.

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Objectives: The waist-to-stature ratio (WSR) is newly developed index, proposed to be of greater value as a simple anthropometric indicator, for predicting abdominal obesity and related cardiovascular co-morbidities in adults and children. This study examined age and gender differences in waist-to-stature (WSR) as measure of centripetal fat patterning in a sample of children in Pretoria, South Africa.

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Dobbelsteyn, Cindy. "Waist circumference as a predictor of cardiovascular risk in Canadian adults." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0017/MQ49343.pdf.

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Rupp, John R. "The Relationships Among BMI, Waist Circumference, Weight Loss and Health Indicators." UKnowledge, 2015. http://uknowledge.uky.edu/foodsci_etds/39.

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Current health recommendations encourage weight loss for overweight and obese individuals. However, the importance of weight to health is still unclear. The purpose of this study was to determine the impact of weight loss on overall health in a sample of adults who have completed a 10 or 12 week weight loss intervention. The study sample included males and females (n =99) between the ages of 27 -64 years that had a BMI of 29-45 kg/m². The study design is a secondary data analysis of data from two different behavioral weight loss interventions. Both interventions prescribed a reduced calorie di

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Earl, Nathan R. "Microvascular Function in Metabolically Healthy Groups Differing in BMI and Waist Circumference." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4337.

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BACKGROUND: Microvascular dysfunction (MD: impaired performance of blood flow, tissue perfusion, blood pressure, etc.) is one of the earliest stages in the progression of various chronic diseases. OBJECTIVE: The aim of this study was to determine if a difference in microvascular function existed between two metabolically healthy groups that differed in BMI and waist circumference. DESIGN: This study employed a causal comparative design, with two groups: I) normal weight (n =14, BMI 28 kg/m2). METHODS: Microvascular function was assessed by measuring skin blood flow (SkBF) using laser Doppler f

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Landry, Denise. "Interrelationships Between Vitamin D and Body Mass Index and Waist Circumference in Canada." Thesis, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24344.

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60 % of Canadians have suboptimal vitamin D (<75 nmol/L) and 25% are obese. Obesity has been reported to be a risk factor for low vitamin D, but there is uncertainty about the magnitude of the association. Linear regression was performed using data from the nationally representative cross-sectional Canadian Health Measures Survey (2007-2009). Height, weight, waist circumference (WC), and vitamin D levels were directly measured. There were 5298 participants aged 6 to 79 years. Using a conservative p value of 0.001, body mass index (BMI) category obese / obese I was positively associated and

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Schneider, Harald J., Jens Klotsche, Sigmund Silber, Günter K. Stalla, and Hans-Ulrich Wittchen. "Measuring Abdominal Obesity: Effects of Height on Distribution of Cardiometabolic Risk Factors Risk Using Waist Circumference and Waist-to-Height Ratio." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-119990.

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Accumulating evidence suggests that measures of abdominal obesity outperform BMI in predicting diabetes and cardiovascular risk. However, it is debated which measure of obesity should be used. Currently, waist circumference (WC) is most commonly used and codefines the metabolic syndrome.

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Schneider, Harald J., Jens Klotsche, Sigmund Silber, Günter K. Stalla, and Hans-Ulrich Wittchen. "Measuring Abdominal Obesity: Effects of Height on Distribution of Cardiometabolic Risk Factors Risk Using Waist Circumference and Waist-to-Height Ratio." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A27093.

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Sarafrazi, Isfahani Neda. "Appropriate waist circumference cutoff values for the diagnosis of metabolic syndrome in Mexican American adults." College Park, Md. : University of Maryland, 2009. http://hdl.handle.net/1903/9811.

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Thesis (Ph.D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Nutrition and Food Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Khan, Sara. "Adiposity and Pulmonary Function: Analysis of the Canadian Health Measures Survey (CHMS)." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23892.

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Adiposity has been linked to impaired respiratory function in adults but whether the distribution of adipose tissue has a differential effect on pulmonary function is still uncertain. Moreover, in children, the relationship between adiposity and lung dysfunction is not clearly understood. A two-stage multivariate analysis was conducted using data from 5604 Canadians aged 6 to 79 years who participated in the Canadian Health Measures Survey (CHMS). The associations of various anthropometric and skinfold measures with lung function were examined separately in adults and children. After adjustmen

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Книги з теми "Waist circumferences"

Greg, M. J. Clinical measures of obesity in adults with diabetes mellitus: A comparison between waist circumference and body mass index. University of Surrey Roehampton, 2002.

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Company, Anatomical Chart. BMI and Waist Circumference Chart. Lippincott Williams & Wilkins, 2006.

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Castle, David J., Peter F. Buckley, and Fiona P. Gaughran. The metabolic syndrome in schizophrenia. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198811688.003.0003.

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The metabolic syndrome (MS) is a constellation of risk factors including increased waist circumference, high blood pressure, and elevated fasting glucose and triglycerides in conjunction with low levels of high-density lipoprotein. MS is associated with an elevated risk of adverse cardiovascular and other events. The general population rate of MS is increasing, but people with schizophrenia have markedly elevated rates compared to people without a mental illness. Reasons for this excess are complex, but certain antipsychotic agents can exacerbate risk and due care needs to be taken in prescrib

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Afrand, Mohammadhosain, Mohammad Afkhami-Ardekani, Ahmad Shojaoddiny-Ardekani, and Azita Ariaeinejad. Metabolic Syndrome and Ethnic Groups Second edition. Knowledge Kingdom Publishing, 2021. http://dx.doi.org/10.26415/978-9931-9446-4-5.

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Metabolic syndrome is defined as the co-occurrence of metabolic risk factors for both type 2 diabetes and cardiovascular disease (i.e. abdominal obesity, hyperglycemia, dyslipidemia, and hypertension). Indeed, metabolic syndrome is an important risk factor for subsequent development of type 2 diabetes and/or CVD. Thus, the key clinical implication of a diagnosis of metabolic syndrome is the identification of a patient who needs aggressive lifestyle modification focused on weight reduction and increased physical activity. Multiple different phenotypes and ethnic-specific values for waist circum

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Частини книг з теми "Waist circumferences"

Campbell, Tavis S., Jillian A. Johnson, Kristin A. Zernicke, et al. "Waist Circumference." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101849.

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Nahler, Gerhard. "waist circumference." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1454.

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Campbell, Tavis S., Jillian A. Johnson, and Kristin A. Zernicke. "Waist Circumference (WC)." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1184.

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Campbell, Tavis S., Jillian A. Johnson, Kristin A. Zernicke, et al. "Waist Circumference (WC)." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1184.

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Higgins, Paul B., and Anthony G. Comuzzie. "Measures of Waist Circumference." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_51.

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Schunkert, Heribert, Marcello Ricardo Paulista Markus, and Jan Stritzke. "Waist Circumference and Cardiovascular Risk." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_131.

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Voruganti, V. Saroja, and Anthony G. Comuzzie. "Value of Waist Circumference in Metabolic Diseases." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_119.

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Eguchi, Yuichiro, Toshihiko Mizuta, Iwata Ozaki, et al. "Waist Circumference Correlates and Hepatic Fat Accumulation." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_136.

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Lubogo, David, and Nicholas Matovu. "Waist Circumference and Metabolic Syndrome: Ugandan Perspectives." In Handbook of Public Health Nutrition. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-32047-7_93-1.

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Okosun, Ike S., and Tandeih A. Ghogomu. "Waist-Circumference Phenotype and Risk of Type 2 Diabetes." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_128.

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Тези доповідей конференцій з теми "Waist circumferences"

Vaughan, Neil, Venketesh N. Dubey, Michael Y. K. Wee, and Richard Isaacs. "Artificial Neural Network to Predict Patient Body Circumferences and Ligament Thicknesses." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13088.

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An artificial neural network has been implemented and trained with clinical data from 23088 patients. The aim was to predict a patient’s body circumferences and ligament thickness from patient data. A fully connected feed-forward neural network is used, containing no loops and one hidden layer and the learning mechanism is back-propagation of error. Neural network inputs were mass, height, age and gender. There are eight hidden neurons and one output. The network can generate estimates for waist, arm, calf and thigh circumferences and thickness of skin, fat, Supraspinous and interspinous ligam

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Passos, Maria Aparecida Zanetti, Gerson Luis de Moraes Ferrari, Eliana Vellozo, and Maria Sylvia de Souza Vitalle. "CONICITY INDEX, BODY MASS INDEX AND ANTHROPOMETRIC MEASURES (WAIST, WAIST/HIP AND NECK CIRCUMFERENCES) AS INDICATORS OF OBESITY IN ADOLESCENTS FROM SÃO PAULO." In IV International Symposium Adolescence(s) and II Education Forum. Universidade Federal de São Paulo, 2018. http://dx.doi.org/10.22388/2525-5894.2018.0030.

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Choi-Rokas, Hyegjoo, Peng Li, and K. Blake Mitchell. "Development of U.S. Army Tactical Brassiere (ATB) Sizing System." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003348.

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In support of the development of the U.S. Army Tactical Brassiere (ATB), a sports bra for physical training activities, a three-phase study was designed and executed. The first-phase study (Choi-Rokas et al., 2022) investigated the relationship between overall coverage, design features, anthropometric characteristics, and mobility of seven commercial-off-the-shelf (COTS) sports brassieres to document the pros and cons of each design feature. As the results, a single COTS brassiere was ranked as the best out of all assessed sports brassieres, based on breast coverage, reduction of breast moveme

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Yousef, Mira, Jenenne Geske, and Birgit Khandalavala. "BMI and Waist Circumference in Patients with Multiple Myeloma." In NAPCRG 50th Annual Meeting — Abstracts of Completed Research 2022. American Academy of Family Physicians, 2023. http://dx.doi.org/10.1370/afm.21.s1.4375.

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Zhai, Shixiong, Chunyun Li, and Zuding Tang. "An Algorithm for Waist Circumference Measurement Based on Kalman Filter." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9601857.

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Gulubova, Maya, Koni Ivanova, Maria Magdalena Ignatova, et al. "Impact of waist circumference on the relationship between BMI and hypertension parameters." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5138027.

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Yongwon Jang, Seungchul Shin, and Seunghwan Kim. "A basic study for automatic waist circumference measurement using magnet with waist belt to assist obese management in daily life." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649666.

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Yongwon Jang, Hyung Wook Noh, I. B. Lee, Yoonseon Song, Won Ick Jang, and Sooyeul Lee. "Development of an integrated obesity management waist belt system composed of calorie tracking and waist circumference measuring module for long term monitoring." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090408.

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Xu, Ming, and Zhencai Chen. "A study of attention bias differences between overweight and normal weight female college students based on BMI, WHR, waist circumference and hip circumference." In 2021 2nd International Conference on Information Science and Education (ICISE-IE). IEEE, 2021. http://dx.doi.org/10.1109/icise-ie53922.2021.00228.

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Ayan, Zarlish, Mohd Thoker, and Huma Riaz. "Assessment of Physical Fitness Among Physical Therapy Students." In 5th International Conference on Biomedical and Health Sciences. Cihan University-Erbil, 2024. http://dx.doi.org/10.24086/biohs2024/paper.1134.

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This study goals are to determine physical well-being among physical therapy students and it includes the segments that are cardio-respiratory endurance, muscular endurance. Muscular strength, flexibility, and body composition. It was a cross-sectional survey and (n=500) physical therapy students were part of this study.2.064.Mean BMI 21.44 with most of the students (55.4%) found in proper weight category of BMI fitness, mean of waist circumference is 32.11in. and maximum students fall in the light category of BORG scale i-e 65%.Mean of trunk lift 8.37in., motor fitness 47.96, 83% were able to

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Звіти організацій з теми "Waist circumferences"

Ismaiel, Abdulrahman, Ayman Jaaouani, Daniel-Corneliu Leucuta, Stefan-Lucian Popa, and Dan-Lucian Dumitrascu. The Visceral Adiposity Index in Non-Alcoholic Fatty Liver Disease and Liver Fibrosis — Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.12.0056.

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Review question / Objective: The objective of the study was to compare the mean difference and AUROC of Visceral Adiposity Index (VAI) in NAFLD/NASH/liver fibrosis patients and controls in observational studies. Condition being studied: Nonalcoholic fatty liver disease (NAFLD) is a multi-system disease, being mainly a liver pathology involving excessive hepatic fat accumulation unrelated to alcohol consumption or other secondary causes of hepatic steatosis. It is an emerging cause of concern and increasing clinical burden, imposing a public health challenge. NAFLD is the most common chronic li

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Fryar, Cheryl D., Deanna Kruszon-Moran, Qiuping Gu, Margaret Carroll, and Cynthia L. Ogden. Mean body weight, height, waist circumference, and body mass index among children and adolescents : United States, 1999–2018. National Center for Health Statistics, 2021. http://dx.doi.org/10.15620/cdc:107559.

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Liechti, Melanie, Massimo Menegon, Alexander Schurz, Nathanael Lutz, and Jan Taeymans. Association between pain intensity and body composition in adults with chronic low back pain: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0064.

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Review question / Objective: Is there an association between pain intensity and body composition in chronic low back pain patients? Condition being studied: Evaluation of adults with chronic non-specific low back pain and the association between pain intensity and body composition, including measures of body mass index, waist circumference, waist hip ratio, fat mass, fat distribution or adipose tissue. Information sources: Pubmed, CINAHL, Embase, The Cochrane Library and Web of Science. Google Scholar will be used for grey literature. No trail registers will be screened.

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