| Title |
The effects of daily mood and couple interactions on the sleep quality of older adults with chronic pain
|
|---|---|
| Published in |
Journal of Behavioral Medicine, July 2015
|
| DOI | 10.1007/s10865-015-9651-4 |
| Pubmed ID | |
| Authors |
Sunmi Song, Jennifer E. Graham-Engeland, Jacqueline Mogle, Lynn M. Martire |
| Abstract |
We examined the effect of daily negative and positive mood on the sleep quality of knee osteoarthritis (OA) patients (N = 152) and whether a partner's daily responses to a patient's pain behaviors moderated these associations. Patients and their partners completed a baseline interview and 22 daily diary assessments. After controlling for demographic characteristics, OA severity, comorbidities, medication use, relationship satisfaction, and depressed mood, multilevel modeling analyses demonstrated main effects of negative and positive mood on sleep quality indicators. Mood and partner responses interacted such that high solicitous and punishing responses strengthened the association between negative mood and worse sleep. Further, high solicitous responses increased the degree of association between low positive mood and poor sleep, and empathic responses combined with positive mood were associated with better sleep. Results demonstrate that daily negative and positive mood fluctuations can interact with partner responses to affect sleep quality among older adults with chronic pain. |
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 % |
|---|---|---|
| Ireland | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 84 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 15% |
| Researcher | 12 | 14% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 29% |
| Medicine and Dentistry | 11 | 13% |
| Nursing and Health Professions | 6 | 7% |
| Neuroscience | 3 | 4% |
| Social Sciences | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 30 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 23 February 2016.
All research outputs
#1,603,994
of 22,818,766 outputs
Outputs from Journal of Behavioral Medicine
#139
of 1,072 outputs
Outputs of similar age
#21,630
of 262,371 outputs
Outputs of similar age from Journal of Behavioral Medicine
#3
of 17 outputs
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So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 87% of its peers.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.