Volume : VI, Issue : III, March - 2017

Neck circumference A better anthropometric marker for predicting cardiometabolic risk

Pradeep Deshmukh, Sunil Washimkar, Mukund Deshpande, Amey Beedkar, Rohan Parikh

Abstract :

 Background:  Upper–body subcutaneous adipose tissue, measured by neck circumference (NC), has been positively associated with hypertension (HT). This study was conducted with the objective to correlate and evaluate NC with HT and to define critical cut–off point for screening HT in adult population of central India.   Methods: This cross sectional study was carried out in the urban filed practice area of Government Medical College Nagpur. All patients attending OPD during study period, aged >30 years after applying exclusion criteria were included in study. The socioeconomic details were assessed using questionnaire. Anthropometric measurements and blood pressure were recorded using standard guidelines. Data was analysed using Epi Info 7 and SPSS. Unpaired t test, Pearson’s correlation and finally ROC analysis was done.   Results: Out of total 206 individuals, 107 were male; majority being aged >50 years. The mean value of NC was 36.43±3.23 cm and 34.84±4.07 cm in hypertensive and non–hypertensives respectively and was seen significantly associated with HT (p=0.02). Positive correlation was seen between SBP and NC in male r=0.27 and in females r=0.26 (p=0.001).On applying ROC, AUC for male and female was 0.652 (p=0.007) and 0.68 (p = 0.002) respectively and the best cut–off for male was 36.5cm and female was 33.5cm with sensitivity of 74% and 72.71% respectively.         Conclusions:   NC is positively correlated with hypertension. NC >36.5cm for males and >33.5cm for females was the best cut–off levels for screening for HT. NC could be a potential, inexpensive, easy screening tool for screening HT.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Pradeep Deshmukh, Sunil Washimkar, Mukund Deshpande, Amey Beedkar, Rohan Parikh, Neck circumference A better anthropometric marker for predicting cardiometabolic risk, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : VOLUME-6 | ISSUE-3 | MARCH‾2017

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