Sentence examples for distress adjusting from inspiring English sources

Logistic regression was conducted to examine the effects of demographic characteristics, PTE's, major life events and perceived social support on current psychological distress adjusting for each other.

Finally, a binary logistic regression analysis was used to identify the multivariate associations of HCW's psychological distress adjusting for demographic variables.

Ordered logistic regression models based on the weighted generalized estimating equations approach were fitted to investigate the association between respiratory diseases and mental distress adjusting for other covariates of interest.

Logistic regression was used to examine potential associations of the most concerning present personal problems with psychological distress, adjusting for occupational variables (occupation and employment status) and age, using problems from own tasks or duties of work as the reference [ 16, 17].

The predicted probability of developing no/low, moderate or high distress adjusting for other covariates is shown in Figures 1 and 2. The risk of developing any level of distress was higher in those participants who self-reported health-care professional diagnosed asthma or chronic bronchitis compared to those who did not self-report these conditions.

Further, their newborns had also a higher chance of having fetal distress (adjusted OR = 1.870).

Model 1 reports ethnic and country-of-birth differences in psychological distress, adjusted for age and gender (sensu figure 1).

In a multivariable model, brain/serum glucose ratios below the median (12%) were independently associated with increased risk of metabolic distress (adjusted OR = 6.1 (4.5 to 8.2), P < 0.0001).

26 Multivariate logistic regression models were used to determine the effect of latent class on emotional distress, adjusted for other covariates.

After adjustment for Glasgow Coma Scale (GCS) scores and brain glucose, SD was independently associated with higher risk of cerebral metabolic distress (adjusted odds ratio = 1.5 (1.1 to 2.1), P = 0.02).

We hypothesised that psychological distress, adjusted for demographic and clinical factors including intraoperative nerve dissection, would predict higher acute pain severity (pain at rest (PAR); movement-evoked pain), while psychological robustness would be protective against acute pain outcomes after breast and axillary surgery.