This longitudinal study has examined the associations between perceived supportive and unsupportive spousal behavior and changes in distress in couples coping with cancer. We tested whether people relatively low in their sense of personal control were more responsive to spousal supportive and unsupportive behavior than were people relatively high in personal control. Patients with colorectal cancer and their partners (n = 70) completed questionnaires at two assessment points: 3 (at baseline) and 9 months (at follow-up) after the diagnosis. We assessed perceived spousal supportive (SSL) and unsupportive (SSL-N) behavior, sense of personal control (Pearlin & Schooler's Mastery), and depressive symptoms (CES-D) in both patients and partners. Multilevel analysis (MLwiN) was used to examine changes in distress over time in a dyadic context. Patients and partners who perceived more spousal support reported less distress over time, but this only applied to those relatively low in personal control. Moreover, partners who perceived more unsupportive spousal behavior reported more distress, again only if they were relatively low in personal control. Patients and partners relatively high in personal control reported relatively low levels of distress, regardless of spousal behavior. In conclusion, people relatively low in personal control may be more adversely affected by unsupportive behavior and benefit more from supportive behavior than people relatively high in personal control.
This study examined associations between support behavior, i.e. active engagement and protective buffering, and relationship satisfaction in both patients with diabetes and their partners. Active engagement refers to supportive behavior characterized by involving one's partner in discussions, asking how the other feels, and problem solving strategies. Protective buffering refers to less supportive behavior characterized by denying fears and worries, and by pretending everything is fine. Furthermore, we examined whether there were interactive effects of these two support behaviors on patients' and partners' relationship satisfaction. At baseline (T1), 205 couples rated to which degree they received active engagement and protective buffering from their partners, and completed a measure of relationship satisfaction. At three follow-up assessments, couples were asked to fill out the same measures. Using dyadic data analytic approaches, we found relationship satisfaction to be positively associated with active engagement, and negatively with protective buffering, in both patients and partners. Moreover, we found a moderating effect, in that the negative association between protective buffering and relationship satisfaction was only present when levels of active engagement were relatively low. Again, these results were found for patients as well as their partners. We were able to replicate the T1 results at the other three assessment points. Our findings illustrate the need to consider adequate and less adequate support behaviors simultaneously, and to study the effects on both patients and partners.
This paper highlights key opportunities for technology design for informal caregivers who provide long-term in-home care. For this purpose, a study with informal caregivers was conducted, including interviews (N=4) and online questionnaires (N=34) based on holistic analysis of supportive technologies. These investigations provide a deeper understanding of the key opportunities in the design of technologies to support the caregiver, namely (1) making caregivers better informed and more aware of existing solutions (2) increasing awareness of the caregivers' own wellness; (3) cherishing the valuable, positive moments of caregiving (e.g. by capturing precious moments) and (4) encouraging meaningful social interactions among caregivers for strengthening social ties.
