Evidence map›Paper›PMID 29731663›Full record

ArticleJournal of pain research2018

Sleep quality and covariates as predictors of pain intensity among the general population in rural China.

Xiao-Kun Liu, Shui-Yuan Xiao, Liang Zhou, Mi Hu, Wei Zhou, Hui-Ming Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 47 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Xiao-Kun LiuMental Health Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shui-Yuan XiaoMental Health Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Liang ZhouAffiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Mi HuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Wei ZhouHospital Administration Institute, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui-Ming LiuShenzhen Kangning Hospital, Shenzhen, Guangdong, China.
Central South University · CNGuangzhou Medical University · CNJinzhou Kangning Hospital · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aims of this study were to investigate the distribution of sleep quality and its relationship with the prevalence of pain among rural Chinese people and to explore the association between sleep quality and pain intensity among the general population in real-life settings.

methodsThis cross-sectional survey included a total of 2052 adults from rural areas in Liuyang, Hunan Province, recruited through random multistage sampling. The distributions of sleep quality and pain prevalence among the participants over a 4-week period were described. Because of multicollinearity among variables, the influence of self-rated sleep quality and psychosocial covariates on pain intensity was explored using a ridge regression model.

resultsThe data showed that participants reporting all categories of sleep quality experienced some degree of pain. Sleep quality, along with physical and mental health, was a negative predictor of pain intensity among the general population. Symptoms of depression positively predicted pain intensity.

conclusionPoor sleep quality increased pain intensity among the participants. Both previous research and the present data suggest that improving sleep quality may significantly decrease pain intensity in the general population. The relationship between sleep and pain may be bidirectional. This finding also suggests that treatment for sleep disorders and insomnia should be addressed in future efforts to alleviate pain intensity.

Indexed as

depression symptomsmental healthpainsleep

Identifiers

PMID29731663
PMCPMC5927145
OpenAlexW2803019708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.