Sentence examples for variable of weight from inspiring English sources

In the multivariate logistic regression analyses, the binary outcome variable of weight misperception was regressed on the independent variable of weight comments taking the category "none" (no weight comments received) as the reference group.

Since anthropometric measurements were conducted at different time intervals for each participant we constructed a variable of weight change (in kg) per year.

Though the variable of weight was insignificant, age remained an important factor for temperature readings (both devices) at the oral, axillary, and rectal sites.

To test for the presence of indeterminate growth in elephants, as measured by both their weight and height gain across age, we implemented non-linear least squares models for each sex using the nls function, with a response variable of weight or height.

The estimated prevalence, by region and strata, were calculated using the commands svyset <  animal identification variable > [pweight = < variable of weight>], strata (< region variable identification>) to set the starting variables and svy command:prop <  variable with result > for all data and strata (if option <  stratum variable > = <  stratum code>).

In such a way, variables of weight values are determined depending on the localization of points between the distance determined by corners.

Linear regression ('Enter' method) was used to investigate the relationships between the dependent variables of percentage weight change at three and 12 months, and the explanatory variables of weight misperception, baseline weight and BMI.

In this work, we have studied a cohort of Norwegian children 4 16 years of age from the Bergen Growth Study with the purpose of analyzing how BMI and other variables of weight status in children associate during different ages.

Age and years of formal education were non-significant explanatory variables of weight loss at three months (age: B = 0.038, p = 0.162; formal education: B = 0.007, p = 0.922) and 12 months (age, B = 0.034, p = 0.146; formal education: B = 0.006, p = 0.922) when included in multiple regression models with weight misperception.

Despite the short-comings noted above related to missing data elements for the critical variables of weight and WHO staging, among others, we contend that the TASO data allow plausible inferences that are central to the understanding of the role of food support and nutrition to the health outcomes of people in treatment for HIV and AIDS.

Our sample size exceeds this and other single-session lab studies (∼n = 25 per group; Houben & Jansen, 2011; 2015) due to the risk of sample attrition and uncertainty about effect sizes on our real-world dependent variables of weight loss and energy intake.