We hypothesised that social support could have impact on such indices of adaptation as health-related quality of life, acceptance of life with the disease and depressive symptoms.
The general conclusion from this part of analysis is that when the indices of adaptation to the disease are combined, all dimensions of support reach the significance level.
The objective of our study was to evaluate the associations between perceived social support and selected indices of adaptation to the disease in patients with psoriasis.
We also undertook to investigate gender differences in the associations between social support and the indices of adaptation to life with psoriasis.
We have demonstrated that social support may exert diverse impact on different indices of adaptation to the disease and these effects are additionally mediated by gender.
In the next step of the analysis, we proceeded to distinguish the subgroups of psoriasis patients differing with respect to their overall adaptation, taking into account simultaneously all three indices of adaptation.
The findings from regression analyses we conducted for the indices of acceptance of life with the disease, depressive symptoms and quality of life confirmed again the most critical role of tangible support for all these indices of adaptation to psoriasis.
Regression analysis was applied to explain the participation of particular social support dimensions in accounting for the variance in the indices of adaptation to the disease (acceptance of life with the disease, depressive symptoms, and quality of life).
The objective of this study was to evaluate the association between social support and selected indices of adaptation to life with the disease, including health-related quality of life, depressive symptoms and acceptance of life with the disease, in a sample of patients with psoriasis.
The variations in ip and in are shown on Figure 3. ip, which can be regarded as an index of the adaptations to physical training, increased progressively all along the experiment, whereas in, the index of fatigue, increased during the first days of training each week before it plateaued with the daily sessions.
