Evidence map›Paper›PMID 36466444›Full record

ArticleFrontiers in public health2022

Latent profile analysis of security among patients with COVID-19 infection in mobile cabin hospitals and its relationship with psychological capital.

Chao Wu, Jia-Ran Yan, Chun-Yan He, Jing Wu, Yin-Juan Zhang, Juan Du, Ya-Wei Lin, Yu-Hai Zhang, Chun-Ni Heng, Hong-Juan Lang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Mental Health Concerns in Patients with COVID-19: A Network Analysis.Psychology research and behavior management · 2025
    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 1 institution in 1 country.

Chao WuDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Jia-Ran YanDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Chun-Yan HeDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Jing WuDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Yin-Juan ZhangDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Juan DuDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Ya-Wei LinDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Yu-Hai ZhangDepartment of Health Statistics, Fourth Military Medical University, Shaanxi, China.
Chun-Ni HengDepartment of Endocrinology, Tangdu Hospital, Fourth Military Medical University, Shaanxi, China.
Hong-Juan LangDepartment of Nursing, Fourth Military Medical University, Shaanxi, China.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: COVID-19 patients' security is related to their mental health. However, the classification of this group's sense of security is still unclear. The aim of our research is to clarify the subtypes of security of patients infected with COVID-19, explore the factors affecting profile membership, and examine the relationship between security and psychological capital for the purpose of providing a reference for improving patients' sense of security and mental health. Methods: A total of 650 COVID-19 patients in a mobile cabin hospital were selected for a cross-sectional survey from April to May 2022. They completed online self-report questionnaires that included a demographic questionnaire, security scale, and psychological capital scale. Data analysis included latent profile analysis, variance analysis, the Chi-square test, multiple comparisons, multivariate logistical regression, and hierarchical regression analysis. Results: Three latent profiles were identified-low security (Class 1), moderate security (Class 2), and high security (Class 3)-accounting for 12.00, 49.51, and 38.49% of the total surveyed patients, respectively. In terms of the score of security and its two dimensions, Class 3 was higher than Class 2, and Class 2 was higher than Class 1 (all P < 0.001). Patients with difficulty falling asleep, sleep quality as usual, and lower tenacity were more likely to be grouped into Class 1 rather than Class 3; Patients from families with a per capita monthly household income <3,000 and lower self-efficacy and hope were more likely to be grouped into Classes 1 and 2 than into Class 3. Psychological capital was an important predictor of security, which could independently explain 18.70% of the variation in the patients' security. Conclusions: Security has different classification features among patients with COVID-19 infection in mobile cabin hospitals. The security of over half of the patients surveyed is at the lower or middle level, and psychological capital is an important predictor of the patients' security. Medical staff should actively pay attention to patients with low security and help them to improve their security level and psychological capital.

Indexed as

COVID-19Cross-Sectional StudiesHumansMedical StaffMental HealthMobile Health Unitslatent profile analysismobile cabin hospitalpatients with COVID-19 infectionpsychological capitalsecurity

Identifiers

PMID36466444
PMCPMC9709271
OpenAlexW4309314489

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.