Objective: To explore the relationship between Career Decision-Making Self-Efficacy and maladjustment among psychiatric nursing students.
Method: The results of baseline data, Mental Health Knowledge Questionnaire, Career Decision-Making Self-Efficacy scale and Clinical Practice Maladjustment Questionnaire of psychiatric nursing students from January 2022 to August 2023 were obtained from our hospital, and the correlation of scores was examined through Pearson correlation analysis. The factors affecting psychiatric nursing students' maladjustment were analyzed through logistic regression analysis.
Results: A total of 286 psychiatric nursing students were included in this study. The total score of all students of Mental Health Law Knowledge Questionnaire score was 21.30 ± 5.28, the total score of Career Decision-Making Self-Efficacy scale was 132.90 ± 13.36 and the total score of Clinical Practice Maladjustment Questionnaire was 102.85 ± 9.81. Positive correlations were found among the Mental Health Knowledge Questionnaire score and the Career Decision-Making Self-Efficacy scale and Clinical Practice Maladjustment Questionnaire (r = 0.550, 0.602, p < 0.05). Similarly, a positive correlation was found between the Career Decision-Making Self-Efficacy scale and Clinical Practice Maladjustment Questionnaire (r = 0.639, p < 0.05). Personality, school performance, Mental Health Knowledge Questionnaire score and Career Decision-Making Self-Efficacy Scale score were the main factors affecting clinical practice inadaptability of psychiatric nursing students, and the odds ratio (OR) values were higher than 1.
Conclusion: Psychiatric nursing students experienced maladjustment during clinical practice, and Career Decision-Making Self-Efficacy was the main influencing factor.
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http://dx.doi.org/10.62641/aep.v53i1.1910 | DOI Listing |
Heliyon
January 2025
Psychiatric Nursing Department, Faculty of Health Sciences, Bilecik Şeyh Edebali University, Bilecik, Turkiye.
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BMC Med Educ
January 2025
School of Health and Life Sciences, University of the West of Scotland, Paisley, Scotland.
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View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Faculty of Health Sciences, Artvin Coruh University, Artvin 08000, Türkiye.
Social networks help improve psychosocial and quality-of-life outcomes among older adults. This study aimed to examine the mediating role of social networks in the effect of health perception on the quality of life of the elderly. The sample of the study consisted of 327 people over the age of 65 who applied to a family health center.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Studies, University of Zadar, Splitska 1, Zadar, 23000, Croatia.
Background: Malnutrition frequently affects older adults, increasing their risk for numerous diseases, as well as healthcare costs. Therefore, nutritional assessment and appropriate nutritional support addressed to meet individual nutritional needs and prevent malnutrition and its consequences should be a fundamental part of healthcare for older adults. This study aimed to compare the knowledge of nutrition guidelines for older adults between healthcare and non-healthcare professionals working with older adults.
View Article and Find Full Text PDFBMJ Open
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
Objectives: Postpartum depression (PPD) is a prevalent complication of childbearing, with numerous risk factors associated with its onset. Although the risk factors for PPD among postpartum women have been studied, the mechanisms underlying these factors remain inadequately understood. This study aimed to investigate the direct and mediating roles of different coping styles in the relationship between dyadic adjustment status and PPD among women 6 weeks postdelivery.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!