Sentence examples for multivariable analysis participants from inspiring English sources

In the multivariable analysis, participants with no post-secondary education and who did not know a woman with PPD were less likely to have high levels of postnatal mental health knowledge (Table  4).

In multivariable analysis, participants in the video group were more likely to prefer comfort care than those in the verbal group (adjusted odds ratio 3.9, 95% confidence interval 1.8 to 8.6).

Multivariable analysis found participants whose families owned fewer household items, ate canned food, or used the community water supply as their primary water source to have higher BLLs and likelihood of EBLLs.

In addition, since the multivariable analysis was based on participant beliefs concerning the reasons that "people" do not vaccinate their children, these responses do not necessarily reflect participants' own reasons for not vaccinating their children.

For example, the NCDP group had more participants married/living with partners, which was associated with higher value, compared with unmarried participants in multivariable analysis.

This finding is in contrast to a recent paper from the San Antonio Heart Study, where no association between prehypertension and diabetes was observed in 2,767 Mexican Americans and non-Hispanic white participants after multivariable analysis (14).

We then assessed the contribution of DAA status and insulin sensitivity to the difference in UACR between the two IR groups by performing a post hoc multivariable analysis restricted to the IR participants.

Higher upper trunk SAT and lower leg SAT were independently associated with higher 2-h glucose values in both HIV-infected and control participants in multivariable analysis (Table 3).

In the primary multivariable analysis, even after controlling for participant personal characteristics and other study measures, the study site at which participants received consultation remained a significant predictor of DC [ 8, 10].

By using latent random effects variables for each participant multi level multivariable analysis permits estimation of changes in repeated measures, even when not all post assessment data are available due to missing data.

Twenty-eight participants could not be included in the multivariable analysis due to missing predictor variable data, leaving a sample of 659.