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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variations in and predictors of the occurrence of depressive symptoms and mood symptoms in multiple sclerosis: a longitudinal two-year study
|
|---|---|
| Published in |
BMC Neurology, March 2016
|
| DOI | 10.1186/s12883-016-0551-1 |
| Pubmed ID | |
| Authors |
Sverker Johansson, Kristina Gottberg, Marie Kierkegaard, Charlotte Ytterberg |
| Abstract |
There is limited knowledge regarding how depressive symptoms and a cluster of specific mood symptoms in people with multiple sclerosis (MS) vary over time and how they are influenced by contributing factors. Therefore, the aims of this study were a) to describe variations over 2 years in the occurrence of depressive symptoms and mood symptoms in a sample of people with MS, and b) to investigate the predictive value of sex, age, coping capacity, work status, disease severity, disease course, fatigue, cognition, frequency of social/lifestyle activities, and perceived impact of MS on health, on the occurrence of depressive symptoms and mood symptoms. Through using a protocol of measures of functioning and perceived impact of MS on health, comprising of the Beck Depression Inventory, 219 people with MS were assessed at 0, 12 and 24 months. Predictive values were explored with Generalised Estimating Equations. Proportions with depressive symptoms varied significantly (p < 0.001) from 21 to 30 % between the three time points. Proportions with mood symptoms varied significantly (p < 0.001) from 14 to 17 % between the three time points. Weak coping capacity and reduced frequency of social/lifestyle activities predicted the occurrence of depressive symptoms and mood symptoms, as did the psychological impact of MS on health in interaction with time. For people with MS of working age, not working predicted the occurrence of depressive symptoms and mood symptoms, as did the physical impact of MS on health on the occurrence of mood symptoms. The occurrence of depressive symptoms and mood symptoms in people with MS vary over a 2-year time period; almost half have depressive symptoms at least once. Health care services should develop strategies aimed at identifying people with MS who are depressed or who develop depressive symptoms. Interventions for alleviating depressive symptoms should consider the individual's coping capacity and perceived impact of MS on health, and facilitate their ability to maintain participation in valued everyday activities. |
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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Student > Doctoral Student | 10 | 14% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 8 | 12% |
| Researcher | 7 | 10% |
| Other | 13 | 19% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 23% |
| Nursing and Health Professions | 10 | 14% |
| Psychology | 9 | 13% |
| Neuroscience | 8 | 12% |
| Social Sciences | 5 | 7% |
| Other | 7 | 10% |
| Unknown | 14 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 March 2016.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Neurology
#1,406
of 2,532 outputs
Outputs of similar age
#171,045
of 301,373 outputs
Outputs of similar age from BMC Neurology
#23
of 34 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,532 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.