Cargando…
Professional calling among nursing students: a latent profile analysis
BACKGROUND: One factor that influences nursing students' decision to pursue a nursing career is professional calling. It is important to comprehend nursing students' professional calling, which may have an impact on their career choice and career development. OBJECTIVES: To investigate pos...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474663/ https://www.ncbi.nlm.nih.gov/pubmed/37660012 http://dx.doi.org/10.1186/s12912-023-01470-y |
_version_ | 1785100548691722240 |
---|---|
author | Jiang, Hu Mei, Yongxia Wang, Xiaoxuan Zhao, Zhixin Lin, Beilei Wang, Wenna Zhang, Zhenxiang |
author_facet | Jiang, Hu Mei, Yongxia Wang, Xiaoxuan Zhao, Zhixin Lin, Beilei Wang, Wenna Zhang, Zhenxiang |
author_sort | Jiang, Hu |
collection | PubMed |
description | BACKGROUND: One factor that influences nursing students' decision to pursue a nursing career is professional calling. It is important to comprehend nursing students' professional calling, which may have an impact on their career choice and career development. OBJECTIVES: To investigate possible calling types and contributing variables among nursing students. DESIGN: Cross-sectional descriptive study. PARTICIPANTS: A total of 10,583 nursing students were enrolled in this survey. METHODS: From November 16th, 2022, to January 17th, 2023, a cross-sectional study was carried out among nursing students using a convenient sampling. The subjects were given the Chinese Calling Scale and the General Demographic Information Questionnaire. Latent profile analysis (LPA) was used to separate nursing students' professional calling into a variety of subgroups. To find the variables connected to the prospective calling categories, we used ordinal and multinomial Logistic regression analysis. RESULTS: Respondents were divided into three calling groups, low (N = 3204), moderate (N = 4492), and high calling group (N = 2887), which accounted for 30.3%, 42.4%, and 27.3% of the total respondents, respectively, in accordance with the findings of the latent profile analysis. Across scale scores and dimensions for the three separate categories, three groups demonstrated statistically significant differences (both p < 0.001). Profile membership was predicted by 8 factors such as age, gender, location of origin, first volunteer experience, highest degree earned, marital status, student leadership experience, and political appearance. CONCLUSION: Three latent calling patterns were found, and there was calling variability across nursing students. Special care should be given to students with low calling. Nursing students must use professional education tools to help them develop their career calling and stabilize the nursing team. |
format | Online Article Text |
id | pubmed-10474663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104746632023-09-03 Professional calling among nursing students: a latent profile analysis Jiang, Hu Mei, Yongxia Wang, Xiaoxuan Zhao, Zhixin Lin, Beilei Wang, Wenna Zhang, Zhenxiang BMC Nurs Research BACKGROUND: One factor that influences nursing students' decision to pursue a nursing career is professional calling. It is important to comprehend nursing students' professional calling, which may have an impact on their career choice and career development. OBJECTIVES: To investigate possible calling types and contributing variables among nursing students. DESIGN: Cross-sectional descriptive study. PARTICIPANTS: A total of 10,583 nursing students were enrolled in this survey. METHODS: From November 16th, 2022, to January 17th, 2023, a cross-sectional study was carried out among nursing students using a convenient sampling. The subjects were given the Chinese Calling Scale and the General Demographic Information Questionnaire. Latent profile analysis (LPA) was used to separate nursing students' professional calling into a variety of subgroups. To find the variables connected to the prospective calling categories, we used ordinal and multinomial Logistic regression analysis. RESULTS: Respondents were divided into three calling groups, low (N = 3204), moderate (N = 4492), and high calling group (N = 2887), which accounted for 30.3%, 42.4%, and 27.3% of the total respondents, respectively, in accordance with the findings of the latent profile analysis. Across scale scores and dimensions for the three separate categories, three groups demonstrated statistically significant differences (both p < 0.001). Profile membership was predicted by 8 factors such as age, gender, location of origin, first volunteer experience, highest degree earned, marital status, student leadership experience, and political appearance. CONCLUSION: Three latent calling patterns were found, and there was calling variability across nursing students. Special care should be given to students with low calling. Nursing students must use professional education tools to help them develop their career calling and stabilize the nursing team. BioMed Central 2023-09-02 /pmc/articles/PMC10474663/ /pubmed/37660012 http://dx.doi.org/10.1186/s12912-023-01470-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jiang, Hu Mei, Yongxia Wang, Xiaoxuan Zhao, Zhixin Lin, Beilei Wang, Wenna Zhang, Zhenxiang Professional calling among nursing students: a latent profile analysis |
title | Professional calling among nursing students: a latent profile analysis |
title_full | Professional calling among nursing students: a latent profile analysis |
title_fullStr | Professional calling among nursing students: a latent profile analysis |
title_full_unstemmed | Professional calling among nursing students: a latent profile analysis |
title_short | Professional calling among nursing students: a latent profile analysis |
title_sort | professional calling among nursing students: a latent profile analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474663/ https://www.ncbi.nlm.nih.gov/pubmed/37660012 http://dx.doi.org/10.1186/s12912-023-01470-y |
work_keys_str_mv | AT jianghu professionalcallingamongnursingstudentsalatentprofileanalysis AT meiyongxia professionalcallingamongnursingstudentsalatentprofileanalysis AT wangxiaoxuan professionalcallingamongnursingstudentsalatentprofileanalysis AT zhaozhixin professionalcallingamongnursingstudentsalatentprofileanalysis AT linbeilei professionalcallingamongnursingstudentsalatentprofileanalysis AT wangwenna professionalcallingamongnursingstudentsalatentprofileanalysis AT zhangzhenxiang professionalcallingamongnursingstudentsalatentprofileanalysis |