| Title |
Predictors of Quality of Life among Ethnically Diverse Breast Cancer Survivors
|
|---|---|
| Published in |
Applied Research in Quality of Life, January 2016
|
| DOI | 10.1007/s11482-016-9447-x |
| Pubmed ID | |
| Authors |
Ellen G. Levine, Grace J. Yoo, Caryn Aviv |
| Abstract |
Few studies have examined predictors of quality of life (QOL) of breast cancer survivors over time. Breast cancer survivors (n=116) were asked to complete measures of QOL, mood, spirituality, and social support every 6 months from 2-4 years post treatment. Overall QOL at 4 years was predicted by previous physical and functional well-being, the breast cancer-specific items, and vigor and current levels of social support (Adj R(2)=.72, F=30.53, p<.001). Physical QOL was predicted by previous levels of physical and functional well- being and current levels of functional and social/family well-being (Adj R(2)=.84, F=44.30, p<.001). Functional well- being was predicted by prior levels of physical, functional, and social/family well-being and current levels of physical well-being and vigor (Adj R(2)=.72, F=3-.53, p<.001). Emotional well-being was predicted by previous levels of emotional well-being and current physical well-being, the breast cancer-specific items, and anxiety (Adj R(2)=.60, F=26.30, p<.001). Social/family well-being was predicted by previous levels of social/family well-being, social support, and confusion (Adj R(2)=.71, F=34.18, p<000). The breast cancer-specific items were predicted by age, previous levels of the breast cancer-specific items, confusion and current levels of emotional and functional well-being and spirituality (Adj R(2)=.58, F=17.57, p<.001). Over all and specific dimensions of QOL at 4 years were predicted by different combinations of QOL, mood, and spirituality. Interventions should be tailored to which dimensions of QOL are affected and other types of QOL as well as social support, mood, and spirituality as coping mechanisms that influence the specific dimension of QOL affected. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 20% |
| Student > Doctoral Student | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Researcher | 5 | 8% |
| Student > Bachelor | 4 | 7% |
| Other | 5 | 8% |
| Unknown | 22 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 22% |
| Nursing and Health Professions | 12 | 20% |
| Social Sciences | 3 | 5% |
| Medicine and Dentistry | 2 | 3% |
| Linguistics | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 23 | 38% |
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 11 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Applied Research in Quality of Life
#306
of 333 outputs
Outputs of similar age
#334,287
of 397,426 outputs
Outputs of similar age from Applied Research in Quality of Life
#7
of 7 outputs
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