Sentence examples for regression of depression from inspiring English sources

This study examined the association between perceived neighborhood safety and depressive symptoms among 443 out-of-treatment African American crack cocaine users interviewed between 2000 and 2002 in North Carolina and tested the regression of depression on perceived neighborhood safety and common predictors of depression.

We first regressed enacted stigma on disclosure to test path a (see Figure 1), followed by a second regression of depression on enacted stigma to test path b.

When enacted stigma entered the regression model of depression, the regression coefficient of disclosure reduced from γ =.23 to γʹ =.16.

Intent-to-treat, mixed effects regression models of depression and other relevant ratings were estimated.

Table 3 shows the results for the regression analysis of depression on insulin resistance in men and women.

Golding and Burnam [ 36] carried out stepwise multivariate regression modeling of depression in US-born and immigrant Mexican populations and found that after controlling for social integration, the gender difference in levels of depressive symptomology disappeared.

RESULTS: In logistic regression, the history of depression and/or anxiety did not predict treatment response as measured by >or=25% reduction in Fibromyalgia Impact Questionnaire (FIQ) score (OR=0.66, 95% CI=.29-1.49, Wald=0.97, p=0.32), while the drug status (paroxetine CR) was significantly associated with treatment response (OR=2.57, CI=1.2-5.61, Wald=5.5, p=0.02).

Our study identified an association between schooling and depression: specifically, fewer years of schooling (in both linear/logistic regression models) and failing a school term (linear regression) increased the likelihood of depression.

In a logistic regression model, earlier age of depression onset, number of psychiatric hospitalizations, and objectively rated poorer family communication were associated with a history of a prior suicide attempt.

The multivariate linear and logistic regression demonstrated the importance of depression and fatigue to self-perceived health status.

The reason for consultation (emotional/affective symptoms yes vs. no; somatic/physical symptoms yes vs. no) was included in a post hoc analysis as an independent variable in the logistic regression model for underrecognition of depression.