The characteristics of the sample are reported in . Most Latinos in the sample were female, monolingual Spanish speakers with less than a high school education and with health insurance. At wave 4, the PDD, SCMHC, LSAS, and SD demonstrated internal consistencies that were nearly acceptable or adequate ({alpha}=.68, .69, .66, and .74, respectively). Internal consistency at wave 5 was acceptable for the SCMHC ({alpha}=.71) and SD ({alpha}=.75) and nearly acceptable for the LSAS ({alpha}=.69) and PDD ({alpha}=.69). Comparison between wave 4 and wave 5 alpha coefficients showed that internal consistency was stable between time points.
| Table 1Sociodemographic characteristics of 200 Latinos screened for depression and concerns about stigma associated with depression treatment |
The correlations between the stigma measures ranged from .03 to .36, indicating that the questionnaires shared some common variance but also measured unique constructs (). Furthermore, significance tests showed that most correlations were not significantly different between waves 4 and 5. The exception was the correlation between the LSAS and the SD (and trends for the LSAS and SCMHC). All stigma measures demonstrated similar correlations with depression (PHQ-9 score), which were stable between the time points.
| Table 2Correlations between stigma measures and depression at two time points for 200 Latino participantsa |
The factor analysis produced a five-factor solution that accounted for 91% of the total variance of the stigma measures. [A
table SUMMARIZING THE FIVE-FACTOR SOLUTION is available as an online supplement at
ps.psychiatryonline.org.] The items of the SCMHC, LSAS, and SD emerged onto three separate factors, with each stigma measure represented by a single factor. Two factors were produced for the PDD; one related to perceived discrimination and negative evaluation, and the other related to perceived acceptance and nonnegative evaluation. Two items from the PDD (item 1, “Most people would be close friends with a person who once had serious depression,” and 10, “Most people I know would treat a person who has been treated for depression the same”) did not load onto any factor, and one (item 5, “Most people believe that receiving treatment for depression is a sign of personal failure”) loaded onto a factor for another scale (SCMHC). The factor analysis was repeated for wave 5 (not shown) and produced similar results, indicating a stable factor structure between time points.
displays the logistic regression models separately by utilization outcome for wave 4. The first model examined the correlates of having received any emotional care in the past three months and revealed no statistically significant predictors. The second model examined the correlates of currently taking antidepressants. This model showed that social distance was significantly associated with current use of antidepressants after the analysis was adjusted for covariates (gender, age, marital status, education, health insurance status, and PHQ-9 score). Individuals reporting higher social distancing (lower scores) were 18% more likely to be taking antidepressants.
| Table 3Relationship between stigma measures and mental health treatment at wave 4, 25 months from baselinea |
shows the wave 5 logistic regression results for each of the utilization outcomes. The first model showed that receipt of emotional care in the past three months was significantly related to the SD, after adjustment for the covariates. Individuals who reported higher social distancing (lower scores) were 30% more likely to have received emotional care during the prior three months. In the second model, current use of antidepressants was significantly related to the SCMHC and LSAS, after adjustment for covariates. On this outcome, higher scores on the SCMHC and LSAS were 36% and 23% less likely, respectively, to be associated with current use of antidepressants. The third model, which examined whether participants had ever received treatment for depression, showed a significant relationship with SCMHC (40% lower treatment utilization).
| Table 4Relationship between stigma measures and mental health treatment at wave 5, 30 months from baselinea |
The factor analyses revealed three problematic items with the PDD (items 1, 5, and 10). The logistic regressions in and were therefore reanalyzed with a reduced version of the PDD that omitted these three items. The results were nearly identical to those from the first factor analysis, indicating that these items did not account for the PDD’s lack of relationship to the utilization outcomes.
The differences between wave 4 and wave 5 time points prompted ad hoc analyses of the role of previous treatment exposure. The wave 5 regressions were reanalyzed to examine the role of previous treatment during wave 4. Specifically, the same set of predictors reported in and were regressed on receiving any emotional care during the past three months at wave 5. However, during wave 4 we adjusted for receipt of any emotional care during the past three months. This same analysis was conducted for current use of antidepressants. The results at wave 5 for emotional care during the past three months showed that the relationship between SD score and emotional care was no longer significant. Also, the results for current use of antidepressants showed that the LSAS and SCMHC were no longer significant predictors.