Evidence map›Paper›PMID 41216480›Full record

ArticleJournal of multidisciplinary healthcare2025

Distinct Sleep Quality Profiles and Their Varying Levels of Stigma Among Patients Undergoing Maintenance Hemodialysis: A Cross-Sectional Study.

Hong Tan, Li Li, YiPei Zhang, HuiZe Zhang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. 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
  2. Article
  3. 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

4 authors.

Hong TanSchool of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Li LiDepartment of Urology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0000-0002-6569-6008
YiPei ZhangSchool of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.ORCID 0009-0006-1948-1854
HuiZe ZhangSchool of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify distinct sleep quality profiles among patients undergoing maintenance hemodialysis (MHD) using latent profile analysis (LPA), and examine differences in perceived stigma across these sleep quality subtypes. Methods: From December 2024 to March 2025, a total of 334 MHD patients were recruited via convenience sampling from the nephrology departments of two tertiary hospitals in Xinjiang, China. Data were collected using structured questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Depression Scale (SDS), and the Social Impact Scale (SIS), along with sociodemographic and clinical information. LPA was employed to identify latent subgroups of sleep quality based on PSQI components. Multinomial logistic regression was used to determine predictors of sleep profile membership. Differences in stigma scores across sleep profiles were analyzed using non-parametric equivalents. Results: Three distinct sleep profiles were identified: Class 1 - "overall better sleep", Class 2 - "short sleep duration and low efficiency", and Class 3 - "poor sleep quality with high medication use". Multinomial logistic regression identified comorbid heart failure (OR=2.867, Conclusion: Patients with MHD exhibit heterogeneous patterns of sleep disturbance, which are associated with varying levels of perceived stigma. Those with the poorest sleep quality and highest reliance on medication experience the most pronounced stigma. Tailored interventions addressing sleep-related issues and psychosocial factors may help reduce stigma and improve patient well-being.

Indexed as

cross-sectional studydepressionlatent profile analysismaintenance hemodialysissleep qualitystigma

Identifiers

PMID41216480
PMCPMC12596840

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.