Evidence map›Paper›PMID 36550493›Full record

ArticleBMC infectious diseases2022

Sleep quality and influencing factors and correlation with T-lymphocyte subpopulation counts in patients with pulmonary tuberculosis: a cross-sectional study.

Hailin Zhang, Ao Li, Youli Jiang, Wenqiu Chen, Jin Wang, Peize Zhang, Guofang Deng, Weiyu Wang, Jingfang Chen, Yi Lin

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 2 institutions in 1 country.

Hailin Zhang *Department of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Ao Li *Hengyang Medical School, School of Nursing, University of South China, Hengyang, People's Republic of China.
Youli JiangHengyang Medical School, School of Nursing, University of South China, Hengyang, People's Republic of China.
Wenqiu ChenDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Jin WangDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Peize ZhangDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Guofang DengDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Weiyu WangDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Jingfang ChenDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China.
Yi LinDepartment of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, People's Republic of China. 514195263@qq.com.
Shenzhen Third People’s Hospital · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients diagnosed with pulmonary tuberculosis (TB) have poor sleep quality due to multiple factors. We aimed to assess the sleep status and related factors of TB patients in Shenzhen, China.

methodsA questionnaire survey was conducted on 461 TB patients hospitalized at Shenzhen Third People's Hospital from March 2021 to January 2022, and sleep quality was assessed using the Pittsburgh sleep quality index (PSQI).

resultsA total of 459 valid questionnaires were collected, and 238 of the 459 TB patients had general or poor sleep quality (PSQI > 5). Patients' gender, marriage, nutritional screening score, family atmosphere, fear of discrimination, fear of interactions, and the impact of the disease on their work life had significant effects on sleep quality (P < 0.05); PSQI scores of TB patients were negatively correlated with lymphocyte counts (r =  - 0.296, P < 0.01), T-lymphocyte counts (r =  - 0.293, P < 0.01), helper T lymphocyte counts (r =  - 0.283, P < 0.01), killer T lymphocyte counts (r =  - 0.182, P < 0.05), and were positively correlated with depression scores (r = 0.424, P < 0.01). Multivariable logistic regression analysis showed that male (OR = 1.64,95% CI 1.11-2.42, P < 0.05), unmarried (OR = 1.57, 95% CI 1.02-2.42, P < 0.05), NRS score grade 3(OR = 5.35, 95% CI 2.08-15.73, P < 0.01), general family atmosphere (OR = 2.23, 95% CI 1.07-4.93, P < 0.05), and the disease affecting work (OR = 1.66, 95% CI 1.11-2.50, P < 0.05) were factors influencing poor sleep quality.

conclusionMost TB patients had varying degrees of sleep disturbance, which may be affected by their gender, marriage, family atmosphere, nutritional status, the effect of the disease on work life, and, depression, as well as lower absolute T-lymphocyte subpopulation counts. Appropriate interventions should be implemented to improve their sleep quality, when treating or caring for such patients.

Indexed as

Sleep QualityTuberculosis, PulmonaryCross-Sectional StudiesHumansLymphocyte SubsetsMaleNutritional StatusNutrition AssessmentQuality of LifeSurveys and QuestionnairesInfluencing factorsPSQIPulmonary tuberculosisSleep qualityT-lymphocyte subpopulation count

Identifiers

PMID36550493
PMCPMC9773432
OpenAlexW4312075283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.