Evidence map›Paper›PMID 30799922›Full record

ArticleNeuropsychiatric disease and treatment2019

The effect of night shift on sleep quality and depressive symptoms among Chinese nurses.

Caijun Dai, Huihua Qiu, Qiqi Huang, Pinglang Hu, Xianchai Hong, Junwei Tu, Qiangli Xie, Haiyan Li, Wenwei Ren, Shuhong Ni and 1 more

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

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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

11 authors.

Caijun DaiJinhua Municipal Central Hospital, Jinhua 321000, China, 13566785387@163.com.
Huihua QiuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Qiqi HuangThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Pinglang HuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Xianchai HongThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Junwei TuJinhua Municipal Central Hospital, Jinhua 321000, China, 13566785387@163.com.
Qiangli XieThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Haiyan LiThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Wenwei RenThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Shuhong NiJinhua Municipal Central Hospital, Jinhua 321000, China, 13566785387@163.com.
Fujian ChenAnji County People's Hospital, Huzhou 313300, China, ajcfj123@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNight shift is associated with adverse physical and psychological health outcomes such as poor sleep quality and depressive symptoms. We aimed to compare sleep quality as well as depressive symptoms in nurses working night shifts to those working day shifts only and explore the association between sleep quality and depressive symptoms among nurses. PATIENTS AND

methodsEight hundred sixty-five nurses were enrolled in the current study. Sleep quality and depressive symptoms among nurses were evaluated by the Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depressive Disorders Rating Scale (HADS), respectively.

resultsPSQI and HADS scores were both significantly higher in the nurses working night shifts (

conclusionHigher rates of depression among Chinese nurses working night shifts may be associated with poor sleep quality induced by night shift.

Indexed as

depressionnight shiftnursesleep

Identifiers

PMID30799922
PMCPMC6369837

What OpenQuestion holds

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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.