Correlation between the wrist circumference and waist circumference in patients with and without diabetes

2021 ◽  
Author(s):  
Salomi Shaikh ◽  
Asma Shaikh ◽  
Shazia Siddiqui ◽  
Shayaan Shaikh
2017 ◽  
Vol 90 (4) ◽  
pp. 385-391 ◽  
Author(s):  
Aida Puia ◽  
Daniel-Corneliu Leucuta

Introduction. Obesity prevention in children represents one of the main concerns in primary care. In order to develop into a healthy adult, the child has to follow a healthy lifestyle in all aspects: nutritional, behavioral, physical and recreational. Our main goal was to identify which habits may influence the children’s somatic development.Method. Our study, performed in a family practice, consisted in a questionnaire regarding physical activity, diet and use of electronic devices.After obtaining the parent’s and child’s informed consent to participate in our cross-sectional study, 98 consecutive children aged 5-15 years, examined in the family practice, were enlisted. After collecting the answers, weight, height, waist circumference, wrist circumference, subscapular skinfold thickness were measured and body mass index was calculated.Results. The analysis of the relationship between the anthropometric data showed a significant difference between girls and boys only in respect of the wrist circumference. The groups performing daily household activities had a significantly increased weight, BMI, abdominal and wrist circumference. Participation in physical education classes in school was associated significantly only with the wrist circumference. Frequent change of the option for extracurricular sport showed a significant difference in weight, waist circumference, and wrist in favor of the group that practiced many sports. Fast food diet and the type of alimentary habits of the family (home cooked, pre-cooked, or ordered food) showed differences between medians of the anthropometric indices with higher values for those eating more frequently fast food or ordered food, yet without reaching statistical significance.Conclusion. Both girls and boys, in the presence of an unhealthy lifestyle (lack of recreational and educational physical activity, food habits, inappropriate time spent in front of a screen) had unfavorable adiposity indices.


Author(s):  
Ajithkumar P. V. ◽  
Manju L. ◽  
Deepa M.

Background: Recent studies have shown that wrist circumference is correlated with insulin resistance, obesity and new onset diabetes. Being easy to measure, it may be useful in identifying individuals at risk for cardio- metabolic disorders.Methods: 112 consecutive subjects with new onset type 2 diabetes in the age group 18-44 years were included in the study. Socio demographic characteristics, anthropometric and biochemical measurements were carried out using standard techniques. Pearson product movement Correlation Coefficient was used to find out correlation with other measures of obesity and ROC curve to determine its cut off values.Results: Wrist circumference showed moderate positive correlation with BMI (r+0.389) and waist circumference (r+0.443). The cut off value of wrist circumference when compared with BMI in defining obesity was 16.5cm in male and 15.7 cm in female. The cut off value of wrist circumference with waist circumference in male was 16.2cm.Conclusions: Measurement of wrist circumference may supplement in assessing obesity especially when other measures of obesity like BMI or Waist circumference measurements are difficult or not feasible.


2015 ◽  
Vol 3 (2) ◽  
pp. 47-51
Author(s):  
B.B. Karki ◽  
M.D. Bhattarai ◽  
M.R. Bajracharya ◽  
S Karki ◽  
A.R. Devkota

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.


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