| Title |
Prevalence and predictive factors for poor sleep quality among migraineurs in a tertiary hospital headache clinic
|
|---|---|
| Published in |
Acta Neurologica Belgica, November 2012
|
| DOI | 10.1007/s13760-012-0159-1 |
| Pubmed ID | |
| Authors |
Zhou Zhu, Xiaoping Fan, Xuelian Li, Ge Tan, Lixue Chen, Jiying Zhou |
| Abstract |
The aim of this study was to investigate the prevalence and predictive factors for poor sleep quality among migraineurs in a tertiary hospital headache clinic in southwest China. In this study, we used a visual analog scale (VAS), the Pittsburgh Sleep Quality Index (PSQI), and the Hospital Anxiety and Depression Scale (HADS) to assess headache intensity, sleep quality as well as anxiety and depression symptoms. In 211 subjects who were assessed continuously, we found that the average PSQI score was 8.03 ± 4.71, and 130 (61.61 %) migraineurs exhibited poor sleep quality (PSQI >5). Poor sleep quality was largely expressed as experiencing an extended sleep latency period, daytime dysfunction, poor subjective sleep quality, and short sleep duration. The primary factors that predicted poor sleep quality included the migraine history and comorbidity with anxiety and/or depression. Moreover, we found that most migraineurs did not adopt treatment for their poor sleep quality. Only 17 (8.06 %) patients used sleeping medication to improve their poor sleep quality; however, this medication was not effective in 16 (94.12 %) patients. Therefore, it is highly important to resolve poor sleep quality in migraineurs. |
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 % |
|---|---|---|
| Egypt | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 21% |
| Student > Ph. D. Student | 6 | 10% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 29% |
| Psychology | 5 | 9% |
| Neuroscience | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Social Sciences | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 20 | 34% |
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 08 May 2014.
All research outputs
#21,699,788
of 24,217,893 outputs
Outputs from Acta Neurologica Belgica
#613
of 809 outputs
Outputs of similar age
#253,119
of 283,972 outputs
Outputs of similar age from Acta Neurologica Belgica
#7
of 8 outputs
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