Kolkata blood sex
Field teams consisting of trained surveyors visited houses identified in their respective sampling units to obtain consent and enroll participants (surveyors made at least three visits to each household).
All data collection was done in the household following a standardized protocol.
Anthropometric indices are often used as a proxy measure of adiposity.
Broadly, these anthropometric measures of adiposity can be considered either a measure of general adiposity, such as the body mass index (BMI), or measures of central adiposity, such as waist circumference (WC), hip circumference (HC), and their ratios, waist-hip ratio (WHR) and waist-height ratio (WHt R).
We aimed to elucidate the associations of anthropometric measures of general and central adiposity with blood pressure and hypertension, and determine the effect of age and sex on these relationships.
We used cross-sectional data from the Centre for Global Health Research health check-up survey conducted during 2006–2007 of the general population in India (n = 7 601; age 18–59 years).
A main determinant of blood pressure is adiposity [8–10], and various mechanisms have been proposed to link different body fat distributions to blood pressure and risk of hypertension [9, 10].
We adjusted all analyses for education and location, with further adjustments, variously, for either a measure of central (waist circumference) or general (body mass index) adiposity.Our findings indicate that central adiposity, as assessed with anthropometric measures, may be a more important determinant of blood pressure and hypertension than general adiposity for adults in India.India is undergoing a rapid health transition with substantial increases in chronic non-communicable diseases, such as cardiovascular disease (CVD) [1, 2], whereby elevated blood pressure and hypertension are well-established risk factors [3–6].We used data from adults 18–59 years of age from the health check-up survey in our analyses (n = 7 784).Of these participants, 119 were excluded because of pregnancy, and 64 due to missing data for either level of education, SBP, DBP, height, weight, WC, or HC.