Prediction of Libero’s Performance on the basis of Selected Anthropometric Characteristics

The objective of the study was to predict of Libero’s performance on the basis of selected anthropometric characteristics. In this study, Libero’s performance was selected as dependent variable (DV) and selected anthropometric characteristics i.e. LP (Libero’s Performance), LH (Libero’s Height), LW (Libero’s Weight), LAL (Libero’s Arm Length), LFAL (Libero’s Fore Arm Length, LUAL (Libero’s Upper Arm Length), LUAC (Libero’s Upper Arm Circumference), LWC (Libero’s Waist Circumference), LHC (Libero’s Hip Circumference), LLL (Libero’s Leg Length), LLLL (Libero’s Lower Leg Length), LTC (Libero’s Thigh Circumference) and LCC (Libero’s Calf Circumference) were observed as independent variables (IV). For the purpose of the present study, the subjects were selected from Inter-university level Volleyball Tournament. A total of 75 male Liberos were purposively selected for the study. The age of the subjects ranged between 18-28 years. To find out relationship between Dependent Variable (Libero’s Performance) and Independent Variables (selected Anthropometric Characteristics), Product Moment correlation and multiple correlations were applied. For predicting Dependent Variable (Libero’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics), multiple regression equation was applied. Established regression models are: (1) Libero’s Performance = 114.163-551X Libero’s Height (2) Libero’s Performance = 137.345 -1.171 X Libero’s Height+.913 X Libero’s Leg Length (3) Libero’s Performance = 95.165 -.944 X Libero’s Height+1.296 X Libero’s Leg Length -1.024 X Libero’s Calf Circumference. The findings suggest that performance is associated with anthropometric characteristics with biomechanical implications that may be used to provide a more complete evaluation of Libero’s performance.

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Development of Estimate Formulas for Waist Circumference Using Body Mass Index and Limb Circumferences in Hospitalized Older Adults

International Journal of Aging Research ◽

10.28933/ijoar-2020-12-2505 ◽

2021 ◽

pp. 76

Author(s):

◽

Keyword(s):

Older Adults ◽

Body Mass Index ◽

Regression Analysis ◽

Waist Circumference ◽

Body Mass ◽

Calf Circumference ◽

Upper Arm ◽

Thigh Circumference ◽

Arm Circumference ◽

Hospitalized Older Adults

Background: Little research has been conducted on the estimate formulas for waist circumference using body mass index and limb circumferences in hospitalized older adults. Thus, we conducted the present study to develop estimate formulas of waist circumference using body mass index and limb circumferences in hospitalized older adults. Methods: Forty hospitalized older patients were recruited in this cross-sectional study. We measured waist circumference, body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference. The estimate formulas for waist circumference were developed using simple and multiple regression analysis. Results: Simple regression analysis indicated that body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference were independent explanators for waist circumference (p < 0.05 for all). In addition, body mass index, upper arm circumference, and forearm circumference but not thigh circumference and calf circumference were extracted as independent explanators for waist circumference in multiple regression analysis (p < 0.05). We were able to develop the estimate formulas using body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference. Conclusion: The results suggest that the estimate formulas for waist circumference may provide an opportunity to easily evaluate waist circumference, even in hospitalized older adults with kyphosis posture. However, future studies should be conducted to develop the estimate formulas for waist circumference with a lower error value.

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Low Mid-Upper Arm Circumference, Calf Circumference, and Body Mass Index and Mortality in Older Persons

The Journals of Gerontology Series A ◽

10.1093/gerona/glq100 ◽

2010 ◽

Vol 65A (10) ◽

pp. 1107-1114 ◽

Cited By ~ 62

Author(s):

H. A. H. Wijnhoven ◽

M. A. E. van Bokhorst-de van der Schueren ◽

M. W. Heymans ◽

H. C. W. de Vet ◽

H. M. Kruizenga ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Older Persons ◽

Calf Circumference ◽

Upper Arm ◽

Arm Circumference ◽

Mid Upper Arm Circumference

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Can mid-upper arm circumference and calf circumference be the proxy measures to detect undernutrition among elderly? Findings of a community-based survey in rural Puducherry, India

Journal of Family Medicine and Primary Care ◽

10.4103/jfmpc.jfmpc_357_16 ◽

2017 ◽

Vol 6 (2) ◽

pp. 356 ◽

Cited By ~ 3

Author(s):

Kalaiselvi Selvaraj ◽

R Jayalakshmy ◽

Arjumand Yousuf ◽

ArvindKumar Singh ◽

Gomathi Ramaswamy ◽

...

Keyword(s):

Calf Circumference ◽

Community Based ◽

Upper Arm ◽

Arm Circumference ◽

Mid Upper Arm Circumference

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Hubungan lingkar lengan atas dengan obesitas pada mahasiswa Fakultas Kedokteran Uuniversitas Sam Ratulangi

Jurnal e-Biomedik ◽

10.35790/ebm.4.2.2016.14619 ◽

2016 ◽

Vol 4 (2) ◽

Author(s):

Okky Kumesan ◽

Shane H.R. Ticoalu ◽

Taufiq F. Pasiak

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Overweight And Obesity ◽

The Body ◽

Spearman Correlation ◽

Strong Correlations ◽

Hip Circumference ◽

Upper Arm ◽

Arm Circumference ◽

Fat Composition

Abstract: Obesity is defined as abnormal or excessive fat accumulation which detrimental to health. In 2014, more than 1.9 billion adults are overweight and over 600 million of them are obese. Various methods of anthropometry can be used to determine the occurrence of obesity, these methods include measurement of body mass index (BMI), waist circumference, hip circumference, arm circumference and neck circumference, body mass index mostly used as an indicator of obesity to estimate the body fat composition. Based on research conducted by Lu et al in China, upper arm circumference has been one of the indicators to identify overweight and obesity in children aged 7-12 years. Objective: To determine the relation between upper arms circumference with obesity of students in Faculty of Medicine, Universitas Sam Ratulangi. Method: This research is descriptive analytic observational study conducted in February 2016. The samples were students of the Faculty of Medicine, University of Sam Ratulangi, class 2013, 2014, 2015, who were eligible. The data was obtained by the measurement of upper arm circumference, weight, and height that used in the method of body mass index. Result: The samples in this research were 63 people consisting of 35 men and 28 women with an average age is 19 years old. On BMI measurements obtained an average male’s BMI is 29.8 kg/m2 and women’s BMI is 28.6 kg/m2. On the measurements of upper arm, the average male’s upper arm is 33,6cm and women’s upper arm is 30,7cm. Spearman correlation values between the Upper Arm Circumference and BMI for the all sample is 0,711. Conclusion: There is strong correlations between the Upper Arm Circumference (MUAC) with obesity that were measured with Body Mass Index (BMI).Keywords: obesity, body mass index, upper arm circumference, student Abstrak: Obesitas didefinisikan sebagai akumulasi lemak abnormal atau berlebihan yang dapat menggangu kesehatan. Pada tahun 2014, lebih dari 1,9 miliar orang dewasa mengalami kelebihan berat badan dan lebih dari 600 juta orang diantaranya mengalami obesitas. Berbagai macam metode antropometri dapat digunakan untuk mengetahui terjadinya obesitas, metode-metode tersebut antara lain pengukuran indeks masa tubuh (IMT), lingkar pinggang, lingkar pinggul, lingkar lengan, serta lingkar leher, indeks masa tubuh merupakan indikator kegemukan yang banyak dilakukan untuk memperkirakan komposisi lemak tubuh. Berdasarkan penelitian yang dilakukan oleh Lu dkk di Cina, lingkar lengan atas telah merupakan salah satu indikator untuk mengidentifikasi berat badan lebih dan obesitas pada anak-anak usia 7-12 tahun. Penelitian ini bertujuan untuk mengetahui hubungan antara lingkar lengan atas dengan terjadinya obesitas pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Penelitian ini merupakan jenis penelitian deskriptif observasional analitik yang dilaksanakan pada bulan Februari 2016. Sampel penelitian adalah mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi, angkatan 2013, 2014, 2015 yang memenuhi kriteria. Data penelitian didapatkan melalui pengukuran lingkar lengan atas, berat badan, serta tinggi badan yang digunakan dalam metode indeks masa tubuh. Pada penelitian ini didapatkan sampel sebanyak 63 orang yang terdiri dari 35 orang laki-laki dan 28 orang perempuan dengan rata-rata umur sampel 19 tahun. Pada pengukuran IMT didapatkan rata-rata IMT laki-laki 29,8 kg/m2 dan IMT Perempuan 28,6 kg/m2. Pada pengukuran LiLA didapatkan rata-rata LiLA laki-laki 33,6 cm dan LiLA perempuan 30,7 cm. Nilai korelasi Spearman antara Lingkar Lengan Atas dan IMT untuk seluruh sampel sebesar 0,711. Simpulan: Didapatkan hubungan yang kuat antara Lingkar Lengan Atas (LiLA) dengan obesitas yang diukur meggunakan Indeks Massa Tubuh (IMT)Kata kunci: obesitas, indeks masa tubuh, lingkar lengan atas, mahasiwa

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Adverse body measurements are superior to sarcopenia-associated measurements in predicting chronic diseases

Scientific Reports ◽

10.1038/s41598-021-85316-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Pei-Ju Liao ◽

Yu-Ching Lin ◽

Ming-Kuo Ting ◽

I.-W.en Wu ◽

Shuo-Wei Chen ◽

...

Keyword(s):

Nephrotic Syndrome ◽

Heart Disease ◽

Chronic Diseases ◽

Univariate Analysis ◽

Left Thigh ◽

Body Measurements ◽

Upper Arm ◽

Thigh Circumference ◽

Cox Regression Analysis ◽

Arm Circumference

AbstractFew studies have demonstrated an association of sarcopenia-associated body measurements with chronic diseases through a comprehensive methodology. This study aims to examine the relationship between sarcopenia-associated body measurements and chronic diseases. This is a cohort study. We recruited 316 community dwellers, including 76 patients with sarcopenia and 240 controls, and obtained their body measurements associated with sarcopenia. We collected three-dimensional anthropometric body-surface measurements from 11,158 participants during 2000–2008 and followed up this cohort for 15 years to examine the association of these measurements with the risk of chronic diseases such as hypertension, type 2 diabetes mellitus (T2DM), heart disease, and nephrotic syndrome. Univariate analysis, canonical correlation, and Cox regression analysis were performed to explore the associations. Decreased waist width, upper left arm circumference, and left thigh circumference were significantly associated with sarcopenia. The adverse body measure score (ABMS) was derived by combining significant measurements, namely left upper arm circumference, waist width, and left thigh circumference, and used to predict the risk of hypertension, T2DM, heart diseases, and nephrotic syndrome. A positive association was observed between the ABMS and chronic diseases. Considering the first quartile of the ABMS as a reference, we determined hazard ratios of 2.259, 2.495, 1.332, and 1.595 for hypertension, T2DM, heart disease, and nephrotic syndrome, respectively, in the fourth quartile. Chronic diseases were more strongly associated with the ABMS than with sarcopenia-related body measurements alone. A high ABMS, which includes higher upper arm circumference, higher waist width, and lower thigh circumference, can significantly predict chronic diseases.

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PERBANDINGAN LINGKAR BETIS DAN LINGKAR LENGAN ATAS SEBAGAI UKURAN PENGGANTI BERAT LAHIR [Comparison between Calf and Mid-Upper Arm Circumference Alternative of Birthweight Measurement]

Media Gizi Indonesia ◽

10.20473/mgi.v15i1.7-13 ◽

2020 ◽

Vol 15 (1) ◽

pp. 7

Author(s):

Wahyu Kurnia Yusrin Putra ◽

Kusharisupeni Kusharisupeni ◽

Isna Aulia Fajarini

Keyword(s):

Birth Weight ◽

Likelihood Ratio ◽

Predictive Value ◽

Calf Circumference ◽

Upper Arm ◽

Cross Sectional ◽

Arm Circumference ◽

Alternative Measurement ◽

Birth Records ◽

Mid Upper Arm Circumference

High proportion of unmeasured birth weight as well as its improper documentation has become a problem in developing countries, including Indonesia. In 2017, a total of 9.9% labour were not assisted by health personnel and 43.4% of newborn did not have proper birth record. This condition increases the possibility of undetected low birth weight (LBW) cases. Therefore, this study aimed to determine an alternative measurement of birth weight which able to detect LBW. The study used cross sectional approach to analyse birth records from maternity clinic. A total of 100 records met the inclusion criteria, such as has complete record of birth weight, calf circumference, and mid-upper arm circumference (MUAC) which were measured within fi rst 24 hours of birth. Data was analysed using correlation test, area under curve (AUC), sensitivity, specifi city, positive predictive value (PPV), negative predictive value (NPV) and likelihood ratio. Result showed that calf circumference and MUAC were signifi cantly correlated with birth weight (p <0.001) with r value 0.529 and 0.674 respectively. At cut-off value 10.62 cm, calf circumference had AUC 0.90, sensitivity 66.7%, specifi city 97.9%, PPV 8.2%, NPV 98.2%, likelihood ratio (+) 31.7 and likelihood ratio (-) 0.03. Calf circumference had better performance as alternative measurement of birth weight to detect LBW compared to MUAC.

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A study on the determination of handgrip strength of Olympic style weightlifting athletes

Physical Education of Students ◽

10.15561/20755279.2020.0303 ◽

2020 ◽

Vol 24 (3) ◽

pp. 141-148

Author(s):

Kenan Erdağı ◽

Osman Tüfekçi ◽

Mustafa Yeşeri ◽

Mehmet F. Yüksel ◽

Nimet Turgut ◽

...

Keyword(s):

Body Weight ◽

Upper Extremity ◽

Handgrip Strength ◽

Low Cost ◽

Control Group ◽

Upper Arm ◽

Arm Circumference ◽

Anthropometric Characteristics ◽

Invasive Method ◽

Hand Length

Background and Study Aim: Handgrip strength is widely accepted as a functionality parameter to assess upper extremity performance. The measurement of hand grip strength by dynamometry is a low cost, non-invasive method of simple applicability. The present study is based on the association of dominant and non-dominant handgrip strength with demographic and anthropometric characteristics; height, body weight, body mass index, upper arm length, forearm length, hand length, forearm circumference, upper arm circumference. Material and Methods: The study included 70 male athletes in olympic style weightlifting (age: 18.06±2.18, height:1.74±.06 m, body weight: 76.09±13.04 kg). A total of 70 sedentary individuals as a control group (age 18.11±.18, height:1.75±.04 m, body weight: 74.01±13.94 kg) were also taken to compare study findings. The data obtained was analyzed by SPPS for Windows, version 25. Handgrip strength measurements were obtained by a Jamar dynamometer, according to the recommendations of the American Association of Hand Therapists. Results: It was found that the values of dominant and non-dominant handgrip strength, upper arm circumference and forearm circumference length of the weightlifting athletes were higher than those of sedentary individuals (p<.001). No asymmetry was observed in dominant and non-dominant handgrip strength values of the athletes and sedentary individuals. The correlations were noted between dominant and non-dominant handgrip strength values of weightlifting athletes and demographic characteristics, some anthropometric characteristics of upper extremity and weightlifting performance. Conclusion: The variability of handgrip strength might largely be explained by some anthropometric characteristics of upper extremity.

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Anthropometric surrogates to identify low birth weight babies: hospital based cross-sectional study

International Journal of Contemporary Pediatrics ◽

10.18203/2349-3291.ijcp20193732 ◽

2019 ◽

Vol 6 (5) ◽

pp. 2098

Author(s):

Jyothi S. D. ◽

Raghavendra Doddamani

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Cross Sectional Study ◽

Anthropometric Measurements ◽

Upper Arm ◽

Thigh Circumference ◽

Cross Sectional ◽

Arm Circumference ◽

Low Birth Weight Babies ◽

Mid Upper Arm Circumference

Background: Birth weight acts as a crucial sensitive and reliable tool to prevent infant and child morbidity and mortality. There has been a considerable interest in recent years for using simple anthropometric measures as an alternative to birth weight. Objective of the study is to determine the cut off values of the anthropometric measurements and to assess the accuracy of the anthropometric surrogates to identify low birth weight babiesMethods: This is a cross sectional study conducted for a period of one year from 1st Dec 2011 to 31st Nov 2012 at Christian fellowship hospital, Oddanchatram, Dindigal, Tamilnadu. Study population included all the live newborns of term gestation at the hospital. A total of 500 newborns were included in the study during the period. Birth weight of the newborn was measured using spring scale to the nearest 25 grams. Head circumference, Chest circumference, Mid Upper Arm Circumference, Foot Length, Thigh circumference, Calf circumference, Crown-hell length were measured using proper guidelines to the nearest 0.1 cm.Results: In the present study, low birth weight was present in 262 (52.4%) of the newborns. Thigh circumference with cut off value of 15 cm had higher sensitivity and specificity of 97.5% and 80.9% respectively. It was followed by Mid upper arm circumference with cut off value of 10 cm, sensitivity of 81.5% and specificity of 93.9%. Thigh circumference and mid upper arm circumference had high area under curve of 0.949 and 0.855 respectively. All the anthropometric measurements were statistically significant at 5% level of significance.Conclusions: Thigh circumference with a cut off of 15 cm, followed by mid upper arm circumference of 10 cm were the better surrogate anthropometric measurements with better sensitivity, specificity to identify low birth weight babies.

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Evaluation of Calf Circumference, Mid-upper-arm Circumference and Ishii Test for the Assessment of Sarcopenia with Schizophrenia in a Mental Health Center

10.21203/rs.3.rs-1064767/v1 ◽

2021 ◽

Author(s):

Ming Chen ◽

Xiuping Lei ◽

Tian Zhu ◽

Qiuxia Li ◽

Xiaoyan Chen

Keyword(s):

Mental Health ◽

Screening Tools ◽

Calf Circumference ◽

Upper Arm ◽

Predictive Values ◽

Arm Circumference ◽

Schizophrenic Patients ◽

Males And Females ◽

Sensitivity Specificity ◽

Mid Upper Arm Circumference

Abstract ObjectiveOur objective was to understand the prevalence of sarcopenia in schizophrenic patients and to evaluate if calf circumference (CC), mid-upper-arm circumference (MUAC) and Ishii tests can be used to accurately screen for sarcopenia in schizophrenic patients.MethodWe enrolled schizophrenic patients aged 50 or older, who were regularly taking antipsychotic medications, at two mental health centres. Bioimpedance-based muscle-mass was analysed with an InBody 770 instrument, while muscle strength was measured with a digital grip-strength dynamometer. The physical performance of the patients was gauged from their gait speed over 6 m. Standard AWGS2019 diagnostic criteria were used, and the accuracies of the three screening methods were indicated by the sensitivity, specificity, receiver operating characteristic curve, positive predictive values and negative predictive values.ResultsA total of 339 stable schizophrenic patients were enrolled. The overall prevalence of sarcopenia was 53.1%, and the prevalence was, respectively, 55.6% and 47.66% for males and females. The prevalence of sarcopenia obesity in the total population was 16.22%, and that of males and females was 18.97% and 10.28%, respectively.The CC, MUAC and Ishii test sensitivity/specificity in screening for sarcopenia were 78.3%/67%, 76.74%/68.93%, 89.92%/67%, respectively, in males and 92.16 %/69.64%, 74.51%/78.57%, 96.08%/55.36%, respectively, in females. In males, the AUCs of the CC, MUAC and Ishii test were 0.8 (95%CI, 0.744-0.856), 0.78 (95%CI, 0.721-0.84) and 0.88 (95%CI, 0.837-0.922), respectively, and in females, they were 0.893 (95%CI, 0.833-0.953), 0.843 (95%CI, 0.772-0.915) and 0.855 (95%CI, 0.784-0.926), respectively.ConclusionThe incidence of sarcopenia in schizophrenia patients is high. Clinical doctors should screen for sarcopenia in patients with schizophrenia and provide timely interventions to reduce the occurrence of adverse events. The CC, MUAC and Ishii tests are simple and easy-to-use screening tools for sarcopenia in both males and females with schizophrenia.

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