Different Coping Constructs in Haematological Cancer Patients: The Influence of Dyadic on Individual Coping Interplay of DC and IC in Haematological Cancer
Table 1
Sample characteristics and drop-out analyses.
Category
Completer t1/t2† (N = 214)
Noncompleter (N = 116)
Age (mean, SDǂ, range)
56.8 (12.0, 22–76)
57.4 (12.7, 23–75)
0.42
0.678
Sex
Male
61.7%
66.4%
0.72
0.398
Female
38.3%
33.6%
Relationship duration
≤15 years
19.8%
24.3%
2.48
0.290
16–45 years
63.7%
54.8%
>45 years
16.5%
20.9%
Number of household members
≤2
78.8%
73.9%
2.67
0.751
>2
21.2%
26.1%
Socioeconomic status
Low
16.4%
24.1%
3.16
0.206
Middle
47.2%
40.5%
High
36.4%
35.3%
Employment status
Employed
37.3%
39.3%
5.52
0.063
Retired
56.0%
54.5%
Other
6.7%
6.3%
Household income weighted by members per household (€)
<1000
13.9%
15.7%
38.89
0.038
1000–2000
64.3%
61.2%
>2000
21.8%
23.1%
Diagnosis
Chronic leukaemia
23.8%
19.0%
4.09
0.394
Non-Hodgkin lymphoma
22.0%
19.0%
Acute leukaemia
22.4%
31.9%
Multiple myeloma
18.2%
19.0%
Other
13.6%
11.2%
Stem cell transplantation
Yes
57.0%
44.7%
5.66
0.059
No
29.4%
33.3%
Not specified
13.6%
21.9%
Time since diagnosis
≤2 years
47.7%
54.3%
1.33
0.249
T-tests were used to calculate differences in means for continuous variables, and the chi-test () was used to calculate differences in means for categorial variables. After Bonferroni-adjustment, values <0.006 are significant. †t1/t2, time 1 (baseline)/time 2 (follow-up); ǂSD, standard deviation.
