Sentence examples for mass index study from inspiring English sources

Subgroup analysis and univariate meta-regression based on study quality, age, presurgery body mass index, postsurgery body mass index, study design, female patients only, study continent, asthmatic patients in the study, and the type of bariatric surgery confirmed no statistically significant difference among these groups (P value>.05 for all).

P-values were adjusted for age, sex, body mass index, study center, energy intake, kinship, and population structure.

For all these traits, GWAS and GxE GWAS were adjusted for age, sex, body mass index, study center, energy intake, kinship, and population structure.

Other therapies: study personnel will register if the patients have had long-term oxygen therapy, physical training, lung surgery, lung revalidation etc. Body Mass Index: study personnel will measure weight and height to derive the Body Mass Index (BMI).

Within GCTA, the GxE interaction and main effects of genetic factors were treated as random effects in the model, with the main effects of E factors as fixed effects, while adjusting for potential confounders, including age, sex, body mass index, study center, energy intake, kinship and population structure.

Only the nominal significant E factors were listed in this table, results of other E factors were listed in the Additional files 1 and 2. P-value (gxe) of GxE interaction was adjusted for age, sex, body mass index, study center, energy intake, kinship, and population structure.

For example, when defining categories by body mass index, studies in this systematic review used 11 different sets of cut-off values ranging in publication dates from 1986 to 2006.

It is likely that we did not see the expected weight loss, as the average body mass index at study entry was only 28.4, which is just slightly overweight, and therefore does not allow much room for improvement on this metric over the study duration.

When these variables were included in a logistic regression model that controlled for the body mass index, the study centre, methods of proximal and distal locking configuration and fracture type, the model was predictive (P = .009) of full weight bearing ability.

To explore the association between electronic media exposure (television viewing time, personal computer/video game use, total screen time), and waist circumference and body mass index, and study whether this association is independent of cardiorespiratory fitness, in a representative sample of adolescents from Montería, Colombia.

Logistic regression was used to calculate odds ratios and the multivariable analysis included gestational age at sample collection, smoking, maternal age, race or ethnic group, body mass index and study treatment group (i.e., aspirin or placebo).