Sentence examples for data waist from inspiring English sources

For linear regression, we used an extended model approach for covariate adjustment: model 1 = age, sex, and race; model 2 = model 1 + health behaviors (smoking status, alcohol intake, and household income); and model 3 = model 2 + measurement data (waist measurement, CRP, and insulin/glucose/HOMA) + current medications (antihypertensive, antihyperglycemic, and antihyperlipidemic agents).

In the subsample with data on waist circumference, a waist circumference of 102 cm corresponded to a BMI of 29.4 kg/m in a linear regression analysis (regression equation: BMI [weight in kilograms divided by the square of height in meters] = 0.298 × waist circumference [centimeters] − 1.027).

Umeå and Norway did not record data on waist or hip circumference, and only some participants from France have information on waist (29%) and hip circumference (29% Riboli et al, 2002).

Routine clinical data (including waist circumference), family history, clinical chemistry were recorded.

Data on waist circumference was not available in all cohorts.

Data on waist circumference were obtained from 2,807 subjects.

Data regarding waist circumference and waist/hip ratio that measures abdominal obesity were not routinely available.

After excluding 18 subjects with missing data on waist circumference, the final sample size was 637.

The percentages for missing data on waist measurements were 49.8% for cases and 56.9% for controls.

Of those, 75 subjects were excluded because of missing data on waist circumference, anthropometric data and body composition.

We did not have data on waist circumference which would have allowed examination of trends in abdominal obesity.