Latent profiles of nurses' subjective well-being and its association with social support and professional self-concept
© 2024 The Authors. Nursing Open published by John Wiley & Sons Ltd..
AIM: To identify latent profiles of nurses' subjective well-being (SWB) and explore its association with social support and professional self-concept.
DESIGN: This study used an online survey and cross-sectional latent profile analysis design.
METHODS: A total of 1009 nurses from 30 hospitals in Guangdong Province, China, were selected using convenience sampling. An online questionnaire survey comprising the following scales was distributed: Index of Well-Being, Nurses' Professional Self-concept Questionnaire and Multidimensional Scale of Perceived Social Support. Nurses' SWB was examined and categorized into profiles using nine Index of Well-being items as explicit variables and ordinal logistic regression analysis was performed to explore factors related to the distinct categories.
RESULTS: Nurses' SWB was divided into four latent profiles: extremely low, low, moderate and high. Regression analysis showed that social support and professional self-concept influenced SWB. There were statistically significant differences in age, title, working years, social support and professional self-concept among nurses in the different well-being categories. Ordered logistic regression analysis showed that social support and professional self-concept are associated with different SWB profiles.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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| Enthalten in: |
Nursing open - 11(2024), 3 vom: 26. März, Seite e2146 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Miao, Chuyuan [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 28.03.2024 Date Revised 29.03.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1002/nop2.2146 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM370218523 |
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| 520 | |a © 2024 The Authors. Nursing Open published by John Wiley & Sons Ltd. | ||
| 520 | |a AIM: To identify latent profiles of nurses' subjective well-being (SWB) and explore its association with social support and professional self-concept | ||
| 520 | |a DESIGN: This study used an online survey and cross-sectional latent profile analysis design | ||
| 520 | |a METHODS: A total of 1009 nurses from 30 hospitals in Guangdong Province, China, were selected using convenience sampling. An online questionnaire survey comprising the following scales was distributed: Index of Well-Being, Nurses' Professional Self-concept Questionnaire and Multidimensional Scale of Perceived Social Support. Nurses' SWB was examined and categorized into profiles using nine Index of Well-being items as explicit variables and ordinal logistic regression analysis was performed to explore factors related to the distinct categories | ||
| 520 | |a RESULTS: Nurses' SWB was divided into four latent profiles: extremely low, low, moderate and high. Regression analysis showed that social support and professional self-concept influenced SWB. There were statistically significant differences in age, title, working years, social support and professional self-concept among nurses in the different well-being categories. Ordered logistic regression analysis showed that social support and professional self-concept are associated with different SWB profiles | ||
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| 650 | 4 | |a professional self‐concept | |
| 650 | 4 | |a social support | |
| 650 | 4 | |a subjective well‐being | |
| 700 | 1 | |a Liu, Chunqin |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Chung, Joanne W Y |e verfasserin |4 aut | |
| 700 | 1 | |a Zou, Xiaofang |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, Wenying |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Qing |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Jiani |e verfasserin |4 aut | |
| 700 | 1 | |a Wong, Thomas Kwok Shing |e verfasserin |4 aut | |
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