Table 5.
Depressive Symptoms Change | Avoidance/ Intrusions Change | |||
---|---|---|---|---|
| ||||
Patient | Spouse | Patient | Spouse | |
Emotional Disclosure | ||||
| ||||
Patient | 0.01 | 0.00 | −0.61 | 0.14 |
Spouse | 0.00 | −0.86 | −1.25** | −0.61 |
Informational Conversation | ||||
| ||||
Patient | 0.16 | 0.17 | −0.06 | −0.05 |
Spouse | −0.37* | −0.38 | −0.05 | −0.06 |
Supportive Interaction | ||||
| ||||
Patient | 0.61* | 0.02 | −0.21 | 0.52 |
Spouse | 0.02 | −0.13 | −0.04 | −0.21 |
Note. N = 52 couples. Numbers are standardized regression coefficients from Actor-Partner Inter-dependence Models, using multi-level modeling, and controlling for age and patients’ use of antidepressant medication. A threshold of p = .20 was used to deconstruct interactions between role (patient or spouse) and main effects, and display unequal coefficients for patients and spouses. For each APIM, 4 coefficients are displayed: an actor effect for the patient (in the upper left cell for each outcome) and spouse (lower right cell), and a partner effect for the patient (lower left cell) and spouse (upper right cell). “Change” in outcome measures are two-month follow-up scores residualized for baseline scores. Because the distribution of the frequency of cancer conversations was positively skewed, we also reanalyzed the data after a log10 transformation. The transformed results revealed that the interpretation of our results is unchanged, therefore the untransformed results are reported here.
p ≤ .05;
p ≤ .01