Sentence examples for between age quartiles was from inspiring English sources

The patients were stratified into age quartiles; the significance of the differences of continuous variables between age quartiles was performed by one-way analysis of variance (ANOVA).

The correlation between metabolic syndrome and serum leptin quartiles was calculated independent of age, tobacco usage, and BMI in three models using binary logistic regression analysis (Table 4).

The level of A1C differed between the quartiles of 8-oxodG, but no trend across quartiles was observed.

Significant group differences between specific quartiles are indicated.

Differences between quartiles were examined with Log rank test.

Adjusted for age, sex, ethnicity, MESA site, and years in between scans, participants in the 2nd 4th quartiles were 1.2, 1.5, and 1.8 times more likely to develop CAC compared with those in the 1st quartile.

Unadjusted and adjusted interval-censored survival analyses were used to evaluate the associations between boys' serum OCP concentrations (in quartiles) and age at sexual maturity; the three higher quartiles were each compared with the lowest quartile, and tests for trend were performed by modeling OCP quartiles as an ordinal variable.

Students' mean age was 23.6 years (SD = 7.5) the 1st quartile was19 years; The median was 21 years and the 3rd quartile was 24 years.

Hospital and 90-day crude mortality rates were significantly different between RBC age quartiles 1 versus quartiles 2 to 4.

The aORs for PbBs between 3.1 and 9.9 μg/dL (highest quartile) was 1.04 (95% CI, 0.89 1.22) for preterm birth and 1.07 (95% CI, 0.93 1.23) for small for gestational age, relative to ≤ 1 μg/dL (lowest quartile).

Intergroup comparisons between ICa quartile were performed.