Evidence map›Paper›PMID 37394712›Full record

ArticleNursing open2023

Loneliness, depression and sleep quality among the type 2 diabetic patients during COVID-19 local epidemic: A mediation analysis.

Yidan Lu, Mengzhao Gao, Lin Zhang, Min Shi, Helian Zhou, Haoran Zhou, Hengying Che, Xiaoyun Fei, Jingtao Chen, Yuanzhen Li

Abstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Yidan LuSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.ORCID 0000-0001-7476-2911
Mengzhao GaoSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.ORCID 0000-0001-7798-3365
Lin ZhangSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.
Min ShiSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.
Helian ZhouSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.
Haoran ZhouSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.
Hengying CheNursing Department, The First Affiliated Hospital of Wannan Medical College, Wuhu, P.R. China.
Xiaoyun FeiDepartment of Endocrinology, Affiliated Hospital of Wannan Medical College, Wuhu, P.R. China.
Jingtao ChenDepartment of Endocrinology, Affiliated Hospital of Wannan Medical College, Wuhu, P.R. China.
Yuanzhen LiSchool of Nursing, Wannan Medical College, Wuhu, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate loneliness, depression and sleep quality in patients with Type 2 Diabetes (T2DM) and to examine the mediating role of depression between loneliness and sleep quality among this group of patients with T2DM.

designA cross-sectional study.

methodsA group of T2DM patients was recruited from a tertiary hospital affiliated with a university in Wuhu City, Anhui Province from May to October 2021 by convenient sampling. Pearson correlation analysis and structural equation modelling were used for data analysis in this study.

resultsThe direct effect of loneliness on sleep quality was not statistically significant, but the indirect effect of depression on sleep quality was statistically significant. Depression mediated the relationship between loneliness and sleep quality. Depression can affect emotional health and reduce sleep quality. We should reduce the loneliness of patients, prevent the occurrence of depression and improve the quality of sleep.

Indexed as

COVID-19Diabetes Mellitus, Type 2Cross-Sectional StudiesDepressionHumansLonelinessMediation AnalysisSleepSleep Qualitydepressionlonelinesssleep qualitystructural equation modellingtype 2 diabetes mellitus

Identifiers

PMID37394712
PMCPMC10415996

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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.