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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Aging Ment Health. 2016 May 20;21(9):975–982. doi: 10.1080/13607863.2016.1186153

Table 3.

Actor, Partner, Patient, and Caregiver Variables Associated with Depression in COPD

Actor’s Depression
B SE t Effect
size (r)
Intercept 5.17 .41
Actor’s Gender1 −1.33 .40 −3.31** .30
Actor’s Role2 1.72 .42 4.09** .37
Actor’s General Health3 1.31 .45 2.90** .27
Partner’s Depression4 .17 .46 .37
Patient’s Self-Management5 −.88 .39 −2.25* .23
Caregiver’s Burden6 1.36 .42 3.21** .30
Actor’s Gender × Actor’s General Health −.01 .43 −.02
Actor’s Gender × Partner’s Depression −1.07 .44 −2.44* .26
Actor’s Gender × Patient Self-Management .28 .39 .71
Actor’s Gender × Caregiver Burden −.55 .42 −1.29

Note: B=raw coefficient, SE=standard error; effect size r=t2/(t2+df)

*

p<.05,

**

p<.01

1

Effect coding was used for gender such that 1 = man and −1 = woman

2

Effect coding was used for role such that 1= patient and −1 = caregiver

3

Single item. “Would you say your health in general is:” 1 = excellent; 2 = very good; 3 = good; 4 = fair; 5 = poor.

4

Patient has routine checkups, even when not experiencing difficulty breathing: 1 = yes, 0 = no.

5

PHQ-9 (Kroenke & Spitzer, 2002). Scores can range from 0–27; higher scores indicate greater depressive symptomatology.