scholarly journals Correlation of neck and wrist circumference with waist circumference

2015 ◽  
Vol 3 (2) ◽  
pp. 47-51
Author(s):  
B.B. Karki ◽  
M.D. Bhattarai ◽  
M.R. Bajracharya ◽  
S Karki ◽  
A.R. Devkota
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Pearson Correlation ◽  
Neck Circumference ◽  
Strong Positive Correlation ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Obese Female ◽  
Wrist Circumference

Background and aims: Body mass index, waist and hip circumference have been using for measurement of obesity, however practically it’s difficult to get these measures accurately because of the various reasons, so an alternative to this could be neck and wrist circumference measurement. As there is scarce report on such anthropometric studies from Nepal, we aimed to find out the correlation between neck and wrist circumference with waist circumference for obesity measure.Method: A cross sectional observational study of total 297(147 male and 150 female) participants, aged above 18 years conducted on 2013 at Kathmandu valley. Anthropometric markers of obesity were measured, including body weight, height, waist, hip, neck and wrist circumferences.Results: A strong positive Pearson correlation of neck circumference with waist circumference was found in both male and females(r=0.64 in male and r=0.86 in female). Neck circumference had strong positive correlation with waist circumference in obese female than in male(r=0.5 in male and r=0.82 in female).Similarly, neck circumference had positive correlation with body mass index(r=0.53in male and r=0.79 in female),hip(r=0.54in male and r=0.76in female), weight(r=0.59in male and r=0.77in female) except waist hip ratio(r=0.59in male and r=0.10in female). Neck circumference cutoff for abnormal waist (>=90cm for male and >=80cm for female) was 34.4cm for male and 32.5 cm for female. Similarly wrist circumference had also positive correlation with waist circumference(r=0.58 and r=0.64 in female) and with weight(r>0.6) in both sexes.Conclusion: Neck circumference which can be relatively easily measured has shown strong correlation with waist.Journal of Advances in Internal Medicine 2014;3(2):47-51.

scholarly journals Malnutrition associated with inflammation in the chronic renal patient on hemodialysis

2018 ◽  
Vol 64 (9) ◽  
pp. 837-844 ◽  
Author(s):  
Hákylla Rayanne Mota de Almeida ◽  
Eduila Maria Couto Santos ◽  
Keila Dourado ◽  
Cláudia Mota ◽  
Rafaella Peixoto
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Nutritional Status ◽  
Body Mass ◽  
Neck Circumference ◽  
Height Ratio ◽  
Cross Sectional ◽  
Low Frequencies ◽  
Waist To Height Ratio ◽  
Inflammation Score

SUMMARY INTRODUCTION Malnutrition-Inflammation-Atherosclerosis Syndrome is very frequent in patients with chronic kidney disease on haemodialysis. In these patients, the inflammation associated with malnutrition is observed by the Malnutrition-Inflammation Score. OBJECTIVE To analyse the relationship between malnutrition-inflammation-atherosclerosis syndrome and anthropometric and biochemical parameters of patients on haemodialysis. METHODS A cross - sectional study was performed at the Haemodialysis Clinic of the Barão de Lucena Hospital, Recife, Brazil, between July and August 2016, with patients cared at the clinic for at least six months. Patients with amputees, hospitalized, visually impaired, HIV positive, with catheters in the neck, ascites and/or oedema, and those who were unable to provide information at the time of the interview were excluded. The patients were submitted to anthropometric evaluation for the classification of the nutritional status by waist circumference, neck circumference, body mass index, waist-to-hip ratio and waist-to-height ratio. Nutritional status related to inflammation was measured by the Malnutrition-Inflammation Score and nutritional status assessment using biochemical indicators that used urea, creatinine and albumin. RESULTS Twenty-seven individuals of both genders, adults and elderly, aged 51.3 ± 13.3 years old participated in the study. The anthropometric evaluation showed that most of the population presented cardiovascular risk. The biochemical evaluation reported low frequencies of malnutrition. Malnutrition-Inflammation-Atherosclerosis syndrome was evidenced in 3.7% of the patients. The Malnutrition-Inflammation Score had a moderate negative correlation with body mass index, waist circumference, neck circumference, waist-to-height ratio and creatinine. CONCLUSION The correlation seen among the parameters suggests that most of the parameters evaluated can be used as an indirect indicator of malnutrition-inflammation-atherosclerosis syndrome.

scholarly journals The Differences Level of Resistin between Positive and Negative Helicobacter pylori Gastritis and its Correlation with Nutritional Status

2020 ◽  
Vol 21 (2) ◽  
pp. 114-119
Author(s):  
Widya Deli Satuti ◽  
Gontar Alamsyah Siregar ◽  
Dharma Lindarto ◽  
Imelda Rey
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Strong Relationship ◽  
Endoscopic Examination ◽  
Rapid Urease Test ◽  
Strong Positive Correlation ◽  
Cross Sectional ◽  
Urease Test ◽  
H Pylori

Background: H. pylori gastritis can be related to people with obesity and metabolic syndrome. The mechanism underlying the relationship between them is suspected to be caused by adipocytokine called resistin. Objective: to analyze the difference level of resistin between positive and negative H. pylori gastritis patients and their relationship with nutritional status.Method: This cross sectional study was done in the Gastroenterology department of General Hospital Adam Malik, Medan, from May to October 2019. Patients with gastritis diagnosed by endoscopy underwent rapid urease test (RUT), resistin, albumin, hemoglobin tests, also body mass index (BMI) and waist circumference (WC) were measured.Results: Sixty gastritis patients found by endoscopic examination, 29 (48.33%) was H. pylori positive and 31 (51.67%) was negative. No significant differences were found between BMI, WC, and albumin against H. pylori gastritis with p values 0.099, 0.055, and 0.528, respectively. Hemoglobin was found significant with a p 0.009. The mean resistin in the positive H. pylori group was 7.62 ng/ml while the negative was 3.23 ng/ml, and statistically significant (p 0.001). There was a strong positive correlation between resistin levels with BMI and WC (BMI p 0.01, r 0.577; WC p 0.001, r 0.592).Conclusion: Resistin levels in gastritis with H. pylori positive are higher than H. pylori negative, body mass index and waist circumference have a strong relationship with resistin levels in patients with positive H. pylori gastritis, hemoglobin is lower in H. pylori positive than negative gastritis.

scholarly journals LINGKAR PINGGANG DAN ADIPONEKTIN PADA REMAJA OBESITAS Waist Circumference and Adiponectin in Obese Adolescents

2020 ◽  
Vol 15 (2) ◽  
pp. 88
Author(s):  
Nur Aisiyah Widjaja ◽  
Rendi Aji Prihaningtyas ◽  
Meta Herdiana Hanindita ◽  
Roedi Irawan
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Diseases ◽  
Pearson Correlation ◽  
Low Grade ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
Obese Adolescents ◽  
Ammatory Cytokine

Obesity causes low-grade chronic infl ammation. Adiponectin is an anti-infl ammatory cytokine. Increased waist circumference in obesity infl uences pro-infl ammatory and anti-infl ammatory cytokine levels which increase the risk of metabolic complications. This study was a cross-sectional study conducted at the Nutrition and Metabolic Diseases Clinic of Children's Hospital Dr. Soetomo, Surabaya. Subjects were chosen consecutively as many as 59 obese adolescents with inclusion criteria: obesity, aged 13-16 years, and having parents / guardians who were willing to follow the research and exclusion criteria: taking drugs, such as dyslipidemia, getting hormone therapy, suff ering from secondary obesity , suff ers from endocrine abnormalities, and has an infection or infl ammatory disease. Anthropometric examination was performed on subjects, including body weight, height, and waist circumference. Body Mass Index (BMI) is measured by weight calculation (kg) divided by height squared (meters) and plotted into the CDC 2000 curve. Obesity is established if a Body Mass Index/Age (BMI/A) >P95 is obtained according to age and sex on the CDC 2000 curve. Adiponectin levels are examined using venous serum with ELISA. The relationship between waist circumference and adiponectin levels was analyzed by Pearson correlation. 59 subjects were included in this study. The mean of waist circumference and adiponectin were 100.18 ± 10.63 cm and 7,84 ± 3,81 μg / ml. Statistic test showed that there is no correlation between waist circumference and adiponectin levels in obese adolescents (p>0,05). There is no correlation between waist circumference and adiponectin levels in obese adolescents. Factors that aff ect the correlation between waist circumference and adiponectin include race, diet and physical activity

scholarly journals Neck circumference as marker of overweight and obesity among secondary adolescents aged 12-19 years in southwestern Uganda: a cross-sectional survey

2021 ◽  
Author(s):  
Godfrey Katamba ◽  
David Collins Agaba ◽  
Francis Muzaale ◽  
Agnes Namaganda ◽  
Rosemary Namayanja ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Neck Circumference ◽  
Female Adolescents ◽  
Roc Curve Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract Background Overweight and obesity have become more common among adolescents. Various indicators have been used to assess this burden across populations. Recent findings elsewhere have found neck circumference to be useful in defining overweight and obesity. However, the use of neck circumference as marker of overweight and obesity needs to be further explored among adolescents in Uganda. Objective To assess the usefulness of neck circumference as a marker of overweight and obesity. Methods A cross sectional study was conducted among secondary adolescents aged 12–19 years from May to August in 2018, Height was measured using a wall mount height board and weight using a standard weighing scale. Neck circumference was measured using an inelastic measuring tape. We defined overweight as BMI = 25.0-29.9kg/m2 while obesity as BMI ≥ 30.0kg/m2 among the study participants. Pearson correlation coefficient was used to determine the correlation between neck circumference, height, weight and body mass index. Receiver operating characteristic (ROC) curve analysis was used to determine the suitable cutoff of neck circumference for overweight and obesity. Results We enrolled 616 adolescents aged 12–19 years, with mean age of 15.6 ± 2.0 years. Most (65.6%) were female. The overall prevalence of overweight was 30.5% while that of obesity was 3.4%. Neck circumference was significantly correlated with height (r = 0.561, P < 0.001), weight (r = 0.547, P < 0.001) and body mass index (r = 0.193, P < 0.001). The best cutoff of neck circumference to identify participants with obesity were ≥ 31.0 cm with AUC of 0.83[0.73–0.94] and ≥ 32.0cm with an AUC of 0.59[0.11-1.00] among the females and males respectively. Conclusion Neck circumference was useful in defining and hence classifying for overweight or obesity among the female adolescents in our study population. It could useful for screening for overweight and obesity among the female adolescents.

scholarly journals The Use of Neck Circumference as Marker of Overweight and Obesity Among Adolescents Aged 12-19 Years. A Case of Southwestern Uganda Secondary School Adolescents

2020 ◽  
Author(s):  
Godfrey Katamba ◽  
David Collins Agaba ◽  
Francis Muzaale ◽  
Agnes Namaganda ◽  
Rosemary Namayanja ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Neck Circumference ◽  
Female Adolescents ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Measuring Tape

Abstract Background: Overweight and obesity have become more common among adolescents. Various indicators have been used to assess this burden across populations. Recent findings elsewhere have found neck circumference to be useful in defining overweight and obesity. However, the use of neck circumference as marker of overweight and obesity needs to be further explored among adolescents in Uganda. Objective: To assess the usefulness of neck circumference as a marker of overweight and obesity. Methods: A cross sectional study was conducted among secondary adolescents aged 12-19 years from May to August in 2018, Height was measured using a wall mount height board and weight using a standard weighing scale. Neck circumference was measured using an inelastic measuring tape. Pearson correlation coefficient was used to determine the correlation between neck circumference, height, weight and body mass index. Receiver operating characteristic (ROC) curve analysis was used to determine the suitable cutoff of neck circumference for overweight and obesity. Results: We enrolled 616 adolescents aged 12-19 years, with mean age of 15.6±2.0 years. Most (65.6%) were female. Neck circumference was significantly correlated with height (p<0.01), weight (p<0.01) and body mass index (p<0.01). The best cutoff of neck circumference to identify participants with obesity were ≥31.0 cm with AUC of 0.83[0.73-0.94] and ≥32.0cm with an AUC of 0.59[0.11-1.00] among the females and males respectively. Conclusion: Neck circumference was useful in defining and hence classifying for overweight or obesity among the female adolescents in our study population. It could useful for screening for overweight and obesity among the female adolescents.

CORRELATION BETWEEN BODY MASS INDEX AND CARRYING ANGLE AMONG ADOLESCENTS IN ABRAKA, NIGERIA

2016 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Ese ANIBOR ◽  
Efe OJIGHO ◽  
Tobore OGBATORHO
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Elbow Joint ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Weak Positive Correlation ◽  
Multi Stage ◽  
Carrying Angle

Context: Carrying angle and body mass index (BMI) varies among individuals and therefore significant in forensic medicine and anthropology.Aim: The purpose of this study was to determine whether the BMI of healthy adolescents from Abraka had an impact on the carrying angle of the elbow joint. This research was also aimed at determining the variation of carrying angle among male and female adolescents from Abraka in Nigeria.Settings and Design: The multi-stage sampling technique was employed in this cross sectional study.Methods and Materials: Three hundred and eighty-four volunteers between the ages of 10 to 19 years (mean 14years) were investigated.Statistical analysis used: The data were analyzed using the Statistical Package for the Social Sciences (SPSS 20). Pearson correlation coefficient was used to establish the relationship between carrying angle and body mass index among the adolescents. The independent t test was used to determine gender differences in carrying angle among the participants.Results: Gender had no significant effect on the mean carrying angle irrespective of the side (p>0.05). There was a weak positive correlation between right carrying angle (M=12.411, SD=1.719) and BMI (M=18.730, SD=2.613), with r=0.144 and p<0.05. It was also observed that there was a weak positive correlation between left carrying angle (M=12.480, SD=1.787) and BMI (M=18.730, SD=2.613), with r=0.017 and p<0.05.Conclusion: The BMI of adolescents in Delta State has an impact on the carrying angle of the elbow joint.  

scholarly journals Waist Circumference, Waist Hip Ratio and Body Mass Index in Female Undergraduates of a Tertiary Institution in Nigeria: a Cross-sectional Study

2019 ◽  
Author(s):  
Adamu Rufa'i ◽  
Karimah Sajoh ◽  
Adewale Oyeyemi ◽  
Abdullahi Gwani
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Pearson Correlation ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Waist To Hip Ratio ◽  
Prevalence Of Obesity ◽  
Nigerian University ◽  
The Relationship

Purpose: Obesity and overweight are associated with variety of conditions detrimental to health, wellbeing and longevity. Waist circumference and waist to hip ratio are indicators of risk of central adiposity while body mass index is an indicator of overall risk of obesity. Body mass index has been traditionally used as a standard for determining overweight and obesity. This study was designed to determine the relationship between waist circumference, waist to hip ratio and body mass index among female undergraduates of a Nigerian University. Also prevalence of obesity based on waist circumference, waist to hip ratio and body mass index was explored. Methods: Three hundred and sixty four apparently healthy subjects were recruited for the study using a cross-sectional simple random sampling technique. Waist circumference, waist to hip ratio and body mass index were determined using standard methods. Descriptive statistics were used to summarize the physical characteristics of the participants. Pearson correlation coefficient was used to analyze the relationship between waist circumference, waist to hip and body mass index. Results: The mean age, waist circumference, waist to hip ratio and body mass index of the participants were 22.5 (±2.20) years, 79.36 (±10.4) cm, 0.81 (±0.06), and 22.48 (±4.50) kg/m2 respectively. The prevalence of obesity based on body mass index, waist circumference and waist to hip ratio was found to be 6.3%, 17.6% and 25.5% respectively. Significant relationship was found between waist circumference and body mass index (r = 0.81; p< 0.001), and between waist to hip ratio and body mass index (r = 0.25; p< 0.001). Conclusions: Body mass index was related to waist circumference, as well as to waist to hip ratio. The prevalence of obesity based on waist to hip ratio was highest among female undergraduates in a Nigerian university. Awareness on the importance of waist to hip ratio as indicator of risk of obesity should be created among female undergraduates in Nigerian Universities and by extension among the women population in general.

scholarly journals Insulin Resistance in Obese Women: Does it Affect Fertility?

2020 ◽  
pp. 151-155
Author(s):  
Satrio B. Purnomo ◽  
Bobby I. Utama ◽  
Yusrawati ◽  
Ori John ◽  
Muhammad Iqbal
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
Reproductive Age ◽  
Obese Women ◽  
Cross Sectional ◽  
Consecutive Sampling ◽  
Obese Female

Objective: To know the correlation of insulin resistance with body mass index in obesity women infertility.Method: This research used a cross-sectional study design. This study was conducted on February 2017 until January 2019 at Obstetric and Gynecology Division of RSUP Dr. M. Djamil and Ibnu Sina Hospital in Padang. The population of the study were all patients were obese in women of reproductive age with infertility complaints with a total sample of 27 people. The sampling technique was consecutive sampling. Data analysis was done by univariate and bivariate using Pearson correlation test.Results: We found that less than half of the respondents experienced insulin resistance with HOMA-IR values > 2,5 (22.2%) and more than half of respondents did not experience insulin resistance with HOMA-IR values < 2,5 (77.8%). There was a correlation of insulin resistance with body mass index in obese female infertility (p<0,05) with strong relationship strength. Conclusions: There was a correlation of insulin resistance with body mass index in obese female infertility.Keywords: infertility, insulin resistance, obesity   Abstrak Tujuan: Mengetahui korelasi resistensi insulin dengan indeks massa tubuh pada infertilitas perempuan obesitas.Metode: Penelitian ini menggunakan desain potong lintang. Penelitian dilakukan di Poliklinik Bagian Obstetri dan Ginekologi RSUP Dr. M. Djamil Padang dan RS Islam Ibnu Sina Padang sejak bulan Februari 2017 – Januari 2019. Populasi pada penelitian ini adalah semua pasien yang mengalami obesitas pada perempuan usia reproduksi dengan keluhan infertilitas dengan jumlah sampel sebanyak 27 orang. Teknik pengambilan sampel dengan consecutive sampling. Analisis data dilakukan secara univariat dan bivariat dengan menggunakan uji korelasi pearson. Hasil: Hasil penelitian diketahui kurang dari separuh responden mengalami resistensi insulin dengan nilai HOMA-IR > 2,5 (22,2%) dan lebih dari separuh responden tidak mengalami resistensi insulin dengan nilai HOMA-IR < 2,5 (77,8%). Terdapat korelasi resistensi insulin dengan indeks massa tubuh pada infertilitas perempuan obesitas (p<0,05) dengan kekuatan hubungan kuat.Kesimpulan: Terdapat korelasi resistensi insulin dengan indeks massa tubuh pada infertilitas perempuan obesitas.Kata kunci: infertilitas, obesitas, resistensi Insulin.

scholarly journals BASAN index (Body mass index, Age, Sex, Arterial hypertension and Neck circumference) predicts severe apnoea in adults living at high altitude

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044228
Author(s):  
Henry Oliveros ◽  
Rafael Lobelo ◽  
Luis Fernando Giraldo-Cadavid ◽  
Alirio Bastidas ◽  
Constanza Ballesteros ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Arterial Hypertension ◽  
High Altitude ◽  
Body Mass ◽  
Sleep Apnoea ◽  
Neck Circumference ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Derivation Cohort ◽  
Obstructive Sleep

ObjectivesObstructive sleep apnoea (OSA)/hypopnoea syndrome is associated with serious and major multiorgan morbidities, particularly in its most severe forms. However, no severe OSA screening instruments are available for high altitude residents that enable adequate identification and clinical prioritisation of such patients. We aimed at developing a severe OSA prediction tool based on the clinical characteristics and anthropometric measurements of a clinical referral cohort living at 2640 m.a.s.l.DesignCohort-nested cross-sectional study.SettingSleep laboratory for standard polysomnography (PSG) in Colombia.ParticipantsA predictive model was generated from 8718 participants referred to the PSG laboratory. Results were subsequently validated in a second cohort of 1898 participants.Primary outcomeTo identify clinical and anthropometric variables associated with severe OSA (>30 events/hour) and to include them in a binary logistic regression model.ResultsThe significant variables that were retained with the presence of severe OSA included Body mass index (BMI), Age, Sex, Arterial hypertension and Neck circumference (BASAN). The area under the receiver operating characteristic curvefor the BASAN index was 0.69 (95% CI: 0.68 to 0.70) in the derivation cohort and 0.67 (95% CI: 0.65 to 0.69) in the validation cohort, whereby a BASAN index ≥2 had a sensitivity of 95% and a specificity of 17% to detect severe OSA.ConclusionAn objectively based approach to screen for the presence of severe OSA, the BASAN index, exhibits favourable sensitivity characteristics that should enable its operational use as a screening tool in a Hispanic population with a clinical suspicion of OSA and living at high altitude.

scholarly journals Correlation of Body Mass Index with Handgrip Strength and Endurance of Dominant Hand in Medical Students

2020 ◽  
Vol 42 (3) ◽  
pp. 57-61
Author(s):  
Lava Shrestha ◽  
Sanyukta Gurung ◽  
Neeti Bhat ◽  
Narayan B Mahotra ◽  
Mahesh M Bajimaya ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Undergraduate Students ◽  
Handgrip Strength ◽  
Extended Period ◽  
Dominant Hand ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Hand Dynamometer

Introduction Hand grip strength is used in evaluation of muscle strength and is also increasingly being used as an indicator for nutritional status. The maximum force applied voluntarily by the subject is called maximum handgrip strength, which is measured in kilograms. Muscular endurance is the ability of a muscle or muscle group to perform against a load for an extended period of time, measured in seconds. This study aims to correlate body mass index with handgrip strength and handgrip endurance in medical students. MethodsThis is a cross sectional, observational study which included 74 undergraduate students of Maharajgunj Medical Campus by convenient sampling method. Body mass index was calculated by Quetelet’s formula. Camry digital hand dynamometer was used to measure handgrip strength in the dominant hand in kilograms. Participants were instructed to hold dynamometer with maintained pressure of 30% of maximum handgrip strength for as long as possible to determine the handgrip endurance. Statistical analyses were performed with SPSS Statistics software. ResultsThe handgrip strength was more in males than females with a mean of 43.09±3.72 kg, while handgrip endurance was more in females with a mean of 123.60±50.65 sec. Positive correlation was seen between body mass index and handgrip strength (r=0.23 and p=0.045). Body mass index and handgrip endurance also showed positive correlation (r=0.34 and p=0.003). ConclusionSignificant correlation of body mass index with handgrip strength and handgrip endurance was seen in medical students.

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