| Title |
Affective disorders and Health-Related Quality of Life (HRQoL) in adolescents and young adults with Multiple Sclerosis (MS): the moderating role of resilience
|
|---|---|
| Published in |
Quality of Life Research, December 2016
|
| DOI | 10.1007/s11136-016-1466-4 |
| Pubmed ID | |
| Authors |
Nunzia Rainone, Alessandro Chiodi, Roberta Lanzillo, Valeria Magri, Anna Napolitano, Vincenzo Brescia Morra, Paolo Valerio, Maria Francesca Freda |
| Abstract |
To investigate the moderating role of resilience in the relationship between affective disorders and Health-Related Quality of Life (HRQoL) for adolescents and young adults with multiple sclerosis (MS). A quantitative methodology was adopted. Fifty-three adolescents and young adults were interviewed to assess resilience as a personality trait (Ego-Resiliency Scale) and resilience as an interactive competence (CYRM-28), Health-Related Quality of Life (PedsQL 4.0), depression and anxiety (BDI-II and STAI-Y). Affective disorders, both depression (β = -.38, p < .001) and anxiety (State β = -.35, p < .001; Trait β = -.41, p < .001), were negatively associated with HRQoL. Data also showed that the resilience competencies using Individual (β = .22, p < .001) and relational resources (β = .12, p < .05) are significantly associated HRQoL. According to the regression analyses, we tested the moderating role of resilience competence using individual resources on the relationship between the Depression Cognitive Factor and Emotional Functioning. Data show that in step 2 of the regression analysis, we obtained a variation of β = -.45 (p < .001) to β = -.30 (p < .001) in the dimension for the Depression Cognitive Factor. The Sobel test showed that the moderating effect of resilience was significant regarding the increase in R(2) (p < .01). Resilience competence using individual resources moderates the relationship between the Depression Cognitive Factor and Emotional Functioning in adolescents with MS. Our study suggests that to improve well-being for adolescents with MS resilience could play a key role. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 138 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 16% |
| Student > Ph. D. Student | 16 | 12% |
| Unspecified | 14 | 10% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 10 | 7% |
| Other | 23 | 17% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 36 | 26% |
| Nursing and Health Professions | 14 | 10% |
| Unspecified | 14 | 10% |
| Medicine and Dentistry | 9 | 7% |
| Social Sciences | 6 | 4% |
| Other | 15 | 11% |
| Unknown | 44 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2016.
All research outputs
#18,487,595
of 22,908,162 outputs
Outputs from Quality of Life Research
#2,005
of 2,854 outputs
Outputs of similar age
#307,982
of 419,655 outputs
Outputs of similar age from Quality of Life Research
#31
of 55 outputs
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