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Mendeley readers
Attention Score in Context
| Title |
Sleeping problems in Chinese illicit drug dependent subjects
|
|---|---|
| Published in |
BMC Psychiatry, February 2015
|
| DOI | 10.1186/s12888-015-0409-x |
| Pubmed ID | |
| Authors |
Jinsong Tang, Yanhui Liao, Haoyu He, Qijian Deng, Guanbai Zhang, Chang Qi, Hangtao Cui, Bin Jiao, Mei Yang, Zhijuan Feng, Xiaogang Chen, Wei Hao, Tieqiao Liu |
| Abstract |
Illicit drug use/dependence has been recognized as a major problem. Clinical studies demonstrate that poor sleep quality is associated with increased frequency of drug use and relapse. However, few studies have addressed the issue of sleep quality among illicit drug dependent subjects. This cross-sectional study explored sleep quality in drug dependent subjects in China. We studied 2178 illicit drug dependent subjects from drug rehabilitation centres in Changsha and 2236 non-drug-using subjects, all of whom completed the self-report Pittsburgh Sleep Quality Index (PSQI). We found that the prevalence of sleep disturbance was much higher in drug users (68.5%, PSQI >5; specifically, 80.24% in heroin users, 54.16% in methamphetamine users and 81.98% in ketamine users with PSQI >5) than non-users (26.4%, PSQI >5). Drug users had approximately twice the sleep latency than nondrug users (37.7 minutes V.S 18.4 minutes). Although drug users and non-users reported similar sleep duration (about 7.4 hours), drug users showed poorer subjective sleep quality and habitual sleep efficiency. They reported more sleep disturbance and need for sleep medications, more daytime dysfunction and poorer subjective sleep quality compared with nondrug users. The total PSQI score positively correlated with the duration of drug use (rp = 0.164, p < 0.001). We also found a link between sleep problems and cigarette smoking, alcohol drinking, and duration of drug use. Poor sleep quality is common among illicit drug dependent subjects. Long-term substance users had more sleep problems. Future research aiming at quantifying the benefits of treatment interventions should not neglect the influence of sleep problems. Gaining more insight into the impact of sleep quality on the addiction treatment could also help to target future intervention measures more effectively. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 21% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Doctoral Student | 8 | 11% |
| Researcher | 7 | 9% |
| Student > Master | 7 | 9% |
| Other | 12 | 16% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 21% |
| Psychology | 14 | 19% |
| Neuroscience | 8 | 11% |
| Social Sciences | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 20 | 27% |
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 21 April 2015.
All research outputs
#15,325,004
of 22,792,160 outputs
Outputs from BMC Psychiatry
#3,366
of 4,680 outputs
Outputs of similar age
#151,063
of 255,121 outputs
Outputs of similar age from BMC Psychiatry
#52
of 70 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 21st percentile – i.e., 21% 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 255,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.