Influencing factors associated with mental workload among nurses: A latent profile analysis

被引:2
|
作者
Jin, Man [1 ,2 ]
Qian, Rong [1 ]
Wang, Jialin [2 ]
Long, Juan [1 ]
Yuan, Zhongqing [3 ]
Zeng, Li [3 ]
Liao, Dan [1 ]
Liu, Xu [1 ]
Tang, Sikai [4 ]
Huang, Shuangying [1 ]
机构
[1] Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Affiliated Hosp, Operating Room, Chengdu, Sichuan, Peoples R China
[2] Chengdu Univ Tradit Chinese Med, Sch Nursing, Chengdu, Peoples R China
[3] Sichuan Nursing Vocat Coll, Chengdu, Sichuan, Peoples R China
[4] Sichuan Univ, West China Hosp, West China Sch Nursing, Dept Nephrol,Hemodialysis Ctr, Chengdu, Peoples R China
关键词
Mental workload; Perceived social support; Coping styles; Influencing factor; Latent profile analysis; Nurses;
D O I
10.1016/j.ijnss.2024.04.002
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Objective: This study aimed to examine the latent profile of nurses' mental workload (MWL) and explore the influencing factors via a person-centred approach. Methods: From March to July 2023, a quantitative cross-sectional study was carried out to investigate 526 Chinese clinical nurses from five tertiary hospitals in Sichuan Province, China, by using demographic information, the Perceived Social Support Scale, Simplified Coping Skill Questionnaire, and NASA-Task Load Index. Latent profile analyses were performed using Mplus 7.3 software. Pearson's chi-squared and logistic regression analysis was done using SPSS 24.0 software. Results: Three profiles of mental workload were identified based on the nurses' responses to the mental workload assessment, designated as "low MWL-high self-rated (n = 70, 13.3%)", "moderate MWL (n = 273, 51.9%)", and "high MWL-low self-rated (n = 183, 34.8%)". Based on the analysis of the three subtypes, nurses with working years < 5 years (x(2) = 12.135, P < 0.05), no children (x(2) = 16.182, P < 0.01), monthly income < 6000 (x(2) = 55.231, P < 0.001), poor health status (x(2) = 39.658, P < 0.001), no psychological training in the past year (x(2) = 56.329, P < 0.001) and suffering from workplace violence (x(2) = 19.803, P < 0.001) were significantly associated with MWL. Moreover, the multivariate logistic regression analysis showed that negative coping styles (OR = 1.146, 95% CI: 1.060-1.238, P = 0.001) were accompanied by higher MWL while negatively associated with perceived social support (OR = 0.927, 95% CI: 0.900-0.955, P < 0.001). Conclusion: Our results showed that the MWL of nurses could be classified into three subtypes. Monthly income, health status, psychological training, workplace violence, negative coping style, and perceived social support were the factors influencing MWL. Managers can employ personalised intervention strategies according to the individual characteristics of different subgroups to reduce nurses' MWL. (c) 2024 The authors. Published by Elsevier B.V. on behalf of the Chinese Nursing Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:330 / 337
页数:8
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