| Title |
Dispositional optimism and sleep quality: a test of mediating pathways
|
|---|---|
| Published in |
Journal of Behavioral Medicine, September 2016
|
| DOI | 10.1007/s10865-016-9792-0 |
| Pubmed ID | |
| Authors |
Bert N. Uchino, Matthew Cribbet, Robert G. Kent de Grey, Sierra Cronan, Ryan Trettevik, Timothy W. Smith |
| Abstract |
Dispositional optimism has been related to beneficial influences on physical health outcomes. However, its links to global sleep quality and the psychological mediators responsible for such associations are less studied. This study thus examined if trait optimism predicted global sleep quality, and if measures of subjective well-being were statistical mediators of such links. A community sample of 175 participants (93 men, 82 women) completed measures of trait optimism, depression, and life satisfaction. Global sleep quality was assessed using the Pittsburgh Sleep Quality Index. Results indicated that trait optimism was a strong predictor of better PSQI global sleep quality. Moreover, this association was mediated by depression and life satisfaction in both single and multiple mediator models. These results highlight the importance of optimism for the restorative process of sleep, as well as the utility of multiple mediator models in testing distinct psychological pathways. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 21% |
| Student > Master | 12 | 19% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Student > Postgraduate | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 34% |
| Nursing and Health Professions | 3 | 5% |
| Social Sciences | 3 | 5% |
| Neuroscience | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 24 | 39% |
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 17 March 2017.
All research outputs
#17,814,957
of 22,886,568 outputs
Outputs from Journal of Behavioral Medicine
#915
of 1,074 outputs
Outputs of similar age
#243,614
of 336,829 outputs
Outputs of similar age from Journal of Behavioral Medicine
#23
of 24 outputs
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