Evidence map›Paper›PMID 35710399›Full record

ArticleBMC medical education2022

Predicting nursing students' psychological well-being: network analysis based on a model of thriving through relationships.

Lu Zhou, Khunanan Sukpasjaroen, YuMing Wu, Lei Wang, Thitinan Chankoson, EnLi Cai

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors at 2 institutions in 2 countries.

Lu ZhouChakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-OK, Chonburi, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-8314-053X
Khunanan SukpasjaroenChakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-OK, Chonburi, Bangkok, Thailand.
YuMing WuSchool of Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Lei WangSchool of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Thitinan ChankosonChakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-OK, Chonburi, Bangkok, Thailand.
EnLi CaiSchool of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China. caienliycm@sina.cn.
Rajamangala University of Technology · THYunnan University · CN

Funding

Yunnan Provincial Department of Education 2022J0364
6 · The paper itself

Abstract

backgroundPsychological well-being plays a vital role in nursing students' mental health and affects their decisions to stay in the nursing profession, particularly during the COVID-19 outbreak. Close relationships are undeniably linked to psychological well-being, but it is unknown how the specific pathways through which close relationships are related to each other and which are most strongly linked to nursing students' psychological well-being.

aimsTo explore the network structure, central and bridge factors among well-being characteristics, and predictors based on a model of thriving through relationships.

methodsA cross-sectional research design was used with a sample of undergraduate nursing students (531 participants from the Southwest part of China). We used a network model to analyze the network structure of perceived social support, mindfulness, self-integrity, self-compassion, professional self-concept, savoring, intentional self-regulation, non-relational self-expansion, relational self-expansion, attachment insecurity, and psychological well-being.

resultsA highly interconnected network of psychological well-being featured predictors and traits were formed. Node 8 (self-kindness), node 9 (self-judgment), and node 23 (non-relational self-expansion) were the predictors with the highest centrality in the network. Perceived social support and professional self-concept were most central in linking predictors to psychological well-being traits. Attachment insecurity was a non-supportive factor for predicting psychological well-being among female nursing students.

conclusionsInterventions based on these supportive/non-supportive predictors, which operate on different psychological levels, hold promise to achieve positive effects on psychological well-being among nursing students.

Indexed as

COVID-19Education, Nursing, BaccalaureateStudents, NursingCross-Sectional StudiesFemaleHumansStress, PsychologicalSurveys and QuestionnairesNetwork analysisNursing studentsPsychological well-beingRelationships

Identifiers

PMID35710399
PMCPMC9202322
OpenAlexW4283031816

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.