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Open Access 01.12.2025 | Research

Relationships between role stress profiles, psychological capital, and work engagement among Chinese clinical nursing teachers: a cross-sectional latent profile analysis

verfasst von: Xiangjie Sun, Haiyan Yin, Fenge Zhao

Erschienen in: BMC Nursing | Ausgabe 1/2025

Abstract Background Design Methods Results Conclusions

Clinical nursing practice has a significant meaning and role in nursing education. Efficient clinical nursing practices under the guidance of clinical nursing teachers can promote patient safety and healthcare quality. This study aimed to investigate the profiles of clinical nursing teachers’ role stress, determine whether sociodemographic factors and psychological capital correlate with different role stress profiles. It also examined the relationship between different role stress profiles and work engagement.
Cross-sectional study.
A total of 412 clinical nursing teachers were enrolled in China through convenience sampling. The Role Stress Scale, Psychological Capital Questionnaire, Work Engagement Scale, and sociodemographic questionnaire were used. Latent profile analysis (LPA) was conducted by using Mplus version 8.0 to identify the different role stress profiles of clinical nursing teachers. Univariate and multivariate unordered logistic regression analyses were used to identify the factors associated with the profiles.
Four hundred and six valid questionnaires were returned. The findings of latent profile analysis showed three profiles: low role stress-high lack of teaching resources profile (34.3%), moderate role stress profile (57.0%), and high role stress-low lack of teaching resources profile (11.7%). Multivariate unordered logistic regression showed that clinical nursing teachers with lower education levels, contract employment, regular qualification audits, and lower psychological capital scores were more likely to belong to Profiles 2 and 3 when Profile 1 was used as a reference. The analysis of variance revealed that the work engagement scores of Profile 3 were significantly lower than those of Profiles 1 and 2.
Clinical nursing teachers reported heterogeneous sociodemographic and psychological capital, with significant differences in the degree of role stress between the identified profiles. Targeted interventions should be provided according to the role stress profiles to improve work engagement.
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Background

In the last 20 years, nursing education enrollment in China has increased dramatically, with the number of registered nurses increasing from 1.22 million to 4.1 million [1]. Clinical nursing practice has a significant meaning and role in nursing education [2]. It not only allows nursing students to verify the theories taught in class but also significantly impacts critical thinking development, decision-making abilities, and insight of future professional roles [3, 4]. Efficient clinical nursing practices under the guidance of clinical nursing teachers (CNTs) can promote patient safety and healthcare quality.
Nursing educators in China consist of two groups: university nursing faculty from universities and CNTs from hospitals. CNTs are registered nurses commissioned by nursing schools to instruct nursing students in clinical nursing practice following the teaching syllabus and are qualified to teach in hospitals [5]. Their prime role is as nurse in hospitals, and they have been appointed to implement the role of educators in their workplaces, part-or full-time. CNTs’ clinical specialties and teaching strategies substantially influence the quality and outcomes of students’ clinical nursing practices [6].
Previous studies found that most CNTs experienced high level of work stress and suffered multiple stressors (e.g., interpersonal stress, career development stress, and role stress) [7, 8, 9]. However, these studies examined multiple work stressors together and rarely studied role stress separately. Role stress is a condition in which external forces disturb the stability of an individual’s internal system and make the individual unable to perform appropriate role behavior in the social [10]. In addition, most current studies on CNTs’ stress have ignored the specificity of CNTs [11, 12]. Specifically, CNTs take on multiple roles (e.g., clinical educator, caregiver, interpersonal coordinator, and researcher, etc.), and also suffer from more stress due to multiple roles (e.g., lacking time to prepare for classes, teaching competencies assessment, etc.), which leads to CNTs experiencing excessive role stress [13, 14, 15]. However, high level of role stress among CNTs not only damages physiopsychological health, but also prevent them from accurately positioning at work, thus limiting role functions performance, increasing operational error incidences, adversely affecting healthcare quality, decreasing work engagement, and ultimately leading to the quality of clinical nursing teaching decline [16, 17, 18]. Thus, it is necessary to focus on the role stress among CNTs.
Existing researches on role stress use variable-centered approach that focuses on total scores of role stress, which is categorized role stress into four levels based on the addition or subtraction of one standard deviation above or below the mean [19, 20, 21]. For example, Huang et al. researchers found that the emergency nurses suffered high level of role stress [21]. This variable-centered approach assumes that participants are homogeneous, presents only the average image and results in simplification. This classification overlooks individual experiences, ignores heterogeneity among individuals, and fails to reflect CNTs differences in role stress at the individual level. However, latent profile analysis (LPA) is a person-centered approach that categorized individuals with similar personal and occupational characteristics, traits, or behavioral patterns into profiles based on their responses to a set of observed indicators [22]. This approach has higher specificity degree than variable-centered approach. Moreover, the heterogeneous differences in role stress among CNTs may be a vital point for effectively identifying, predicting, and targeting interventions according to their role stress profiles, which could contribute policymakers and hospital administrators taking targeted measures to prevent the negative physical and psychological effects of role stress and improve CNTs work engagement. Therefore, this study aimed to identify role stress profiles among CNTs by LPA.
Job demands resource (JD-R) model indicates both extrinsic resources (e.g., social support, salary) and intrinsic resources (e.g., psychological capital) influence the individual’s work stress level [23]. Current studies on the CNTs’ work stress have focused on extrinsic resources, and neglect intrinsic resources [7, 11]. Psychological capital is an intrinsic personal trait that influences an individual’s behavior and output and includes four positive psychological resources: self-efficacy, optimism, hope, and resilience [24]. Meanwhile, other studies show that individuals with levels of psychological capital tended to report higher job satisfaction, better job performance, lower levels of work stress, and lower turnover intention [25, 26]. Previous researches have only examined the association between psychological capital and work stress in the general population [27, 28, 29]. Moreover, to the best of our knowledge, no study has focused on the relationship between psychological capital and role stress profiles among CNTs. Thus, we examined the relationship between psychological capital and role stress profiles among CNTs.
Previous studies have demonstrated that individuals with higher role stress having less work engagement [30, 31]. Schaufeli defined work engagement as a positive, fulfilling, and work-related state of mind that encompasses three dimensions: vigor, dedication, and concentration [32]. According to stress cybernetic theory, individuals differ in the work performance in face of various stressors at work [33]. For example, study found that work engagement level varies with stress profiles among students [34]. However, few studies explore whether CNTs with different role stress profiles differ in work engagement. Thus, we examined whether role stress profiles among CNTs were related to work engagement.
Therefore, the first aim of this study was to identify the different profiles of role stress from a person-centered perspective. The second aim was to test the relationship between different role stress profiles and psychological capital and work engagement. This may be useful for better understanding the characteristics of CNTs role stress and for developing more targeted interventions for at-risk CNTs.

Methods

Study design

This cross-sectional study used convenience sampling to explore the different profiles of role stress and the relationships of different profiles with psychological capital and work engagement among CNTs.

Participants

The CNTs from five tertiary hospitals affiliated with medical universities in Shandong Province, China. The following were the inclusion criteria: registered nurses, engaged in clinical teaching for ≥ 1 year, informed agreement, and voluntary involvement in the survey. Individuals who experienced major events (e.g., divorce, loss of loved ones) in the last 2 months were excluded.

Sample size

The sample size was calculated using Kendall’s rough estimation method: the sample size was 5–10 times the number of independent variables, with 20% of invalid participants then taken into account [35]. The questionnaire used in this study included 61 independent variable items; therefore, 366–732 participants should be selected.

Data collection

Convenience sampling method was used in this study. Firstly, pilot study was conducted (ten paper questionnaires were distributed) in February 2019. Based on the results of pilot study, we modified the unclear contents of questionnaire and formed the formalized questionnaire. Secondly, we created electronic questionnaire using the Questionnaire Star website. Thirdly, the main study was conducted between March and April 2019. After obtaining the hospital administrators’ consent, the electronic questionnaire link was sent to the nursing department administrator of each hospital by the WeChat platform. Subsequently, the nursing department administrator recruited meting criteria CNTs to complete the questionnaire online. A total of 412 questionnaires were distributed and 406 valid questionnaires were returned. The data collection process is detailed in Fig. 1.

Patient and public involvement

This study involved CNTs, and no patients participated.

Measurements

Role stress

The Chinese version of the Role Stress Scale was used to assess role stress [36]. It consists of five dimensions with 40 items: role ambiguity (six items), role overload (eight items), role inconsistency (seven items), role incapacity (five items), and role conflict (14 items). The scale is based on a 5-point Likert scale, with higher total scores indicating higher levels of role stress. The reliability of the Chinese CNTs’ Role Stress Scale was 0.84 [36], and the Cronbach’s alpha coefficient for this scale in this study was 0.84.

Psychological capital

Psychological capital was measured by a Psychological Capital Questionnaire, which consists of 12 items with four dimensions: optimism, hope, self-efficacy, and resilience [37]. The scale is based on a 6-point Likert scale, with higher scores indicating higher psychological capital. The reliability of Psychological Capital Questionnaire was 0.88 [37], and the Cronbach’s alpha coefficient for this scale in this study was 0.94.

Work engagement

The Chinese Vision of Work Engagement Scale consists of nine items with three dimensions: dedication (three items), vitality (three items), and concentration (three items) [38]. The scale is based on a 7-point Likert scale. There are nine items with total scores ranging from 0 to 54, with higher scores indicating higher levels of work engagement. The reliability of Work Engagement Scale was 0.89 [38], and the scale in this study has shown good reliability (Cronbach’s alpha coefficient = 0.90).

Data analysis

LPA was conducted using Mplus version 8.0 to identify the clusters based on the five dimensions of role stress. Forty items were entered into the LPA, initially with one profile. Then, additional profiles were gradually added until the maximum likelihood method failed to identify a unique solution. The fit indices were also investigated. The Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and sample-size-adjusted BIC (aBIC) were used to assess model fit with the difference between the expected value and the actual value (smaller values indicate a better model fit, and the lowest value indicates the best fit [39]. The Lo–Mendel–Rubin (LMR) adjusted likelihood ratio test and bootstrap likelihood ratio test (BLRT) were applied to estimate how much the model would improve with the additional profiles based on the change in p-value [40]. Low p-values demonstrate that the k-profile models fit the data better than the k-1-profile models. Entropy values were used to assess the separability of each LPA solution. An entropy value (ranging from 0 to 1) greater than or equal to 0.80 indicates that at least 90% of the participants were categorized correctly [41].
After identifying the optimal LPA model, profile membership data were derived from Mplus to SPSS 26.0. Continuous variables were described using means ± standard deviation (SD), and categorical variables were described using frequencies and percentages. Finally, based on the results of the LPA, Pearson’s chi-square test or Fisher’s exact probability test (According to the principle of chi-square test, Pearson’s chi-square test was used when the sample size was > 40 and the frequency of the theoretical number < 5 was < 20% and Fisher’s exact probability test was used when the frequency of the theoretical number < 5 was > 20%) Multivariate unordered logistic regression analyses were used to explore the relationship between the predictor variables (sociodemographic characteristics and psychological capital) and different profiles of role stress. Analysis of variance (ANOVA) was used to explore the relationship between different profiles of role stress and work engagement (outcome variable).

Results

Participants characteristics

A total of 412 questionnaires were delivered; six unqualified questionnaires were excluded, and 406 valid questionnaires were returned, with an effective response rate of 98.5%. Overall, 97.0% of CNTs (n = 394) were females, and the average age of participants was 35.69 ± 4.34 years. A total of 87.7% of CNTs (n = 356) had a bachelor’s degree, and 385 did part-time clinical nursing teaching. The participants’ other sociodemographic characteristics are presented in Table 1.
Table 1
Sociodemographic characteristics, and psychological capital of role stress each profile
Variable
 
Profile 1(n = 118)
Profile 2(n = 220)
Profile 3(n = 48)
X2/F
P
Age(year)
≤ 25
2(1.4)
2(0.9)
0(0.0)
0.369
0.691
 
26–35
70(50.7)
104(47.3)
26(54.2)
  
 
36–45
63(45.7)
109(49.5)
21(43.8)
  
 
≥ 46
3(2.2)
5(2.3)
1(2.1)
  
Department
Internal medicine
40(29)
65(29.5)
13(27.1)
0.682
0.506
 
Surgery
45(32.6)
48(21.8)
16(33.3)
  
 
Pediatrics
12(8.7)
22(10.0)
3(6.3)
  
 
Obstetrics and gynecology
14(10.1)
29(13.2)
5(10.4)
  
 
Emergency medicine
3(2.2)
10(4.5)
3(6.3)
  
 
Intensive care unit
4(2.9)
17(7.7)
4(2.9)
  
 
Operating room
6(4.3)
6(4.3)
0(0.0)
  
 
Others
14(10.1)
23(10.5)
4(8.3)
  
Sex
Male
7(5.1)
3(1.4)
2(4.2)
2.18
0.114
 
Female
131(94.9)
217(98.6)
46(95.8)
  
Length of nursing experience (years)
< 10
32(23.2)
53(24.1)
19(39.6)
1.39
0.25
 
10 ~ 14
45(32.6)
89(40.5)
11(22.9)
  
 
15 ~ 20
39(28.3)
48(21.8)
12(25.0)
  
 
> 20
22(15.9)
30(13.6)
6(12.5)
  
Length of teaching (years)
1 ~ 5
67(48.6)
108(49.1)
23(47.9)
0.06
0.994
 
6 ~ 10
59(42.8)
93(42.3)
21(43.8)
  
 
≥ 11
12(8.7)
19(8.6)
4(8.3)
  
Education level
Associated degree
5(3.6)
5(2.3)
0(0.0)
1.841
0.016
 
Bachelor degree
124(89.9)
188(85.5)
44(91.7)
  
 
Master degree or above
9(6.5)
27(12.3)
4(8.3)
  
Title level
Primary
48(34.8)
86(39.1)
20(41.7)
0.625
0.536
 
Intermediate
89(64.5)
134(60.9)
28(58.3)
  
 
Senior
1(0.7)
0(0.0)
0(0.0)
  
Method of employment
officially budgeted posts
29(21.0)
64(29.1)
11(22.9)
3.309
0.049
 
human agency
24(17.4)
52(23.6)
14(29.2)
  
 
contract employment
85(61.6)
104(47.3)
23(47.9)
  
Marital status
Married
128(92.8)
204(92.7)
48(100.0)
1.866
0.156
 
Single
10(7.2)
16(7.3)
0(0.0)
  
presence of pre-service training
Yes
121(87.7)
184(83.6)
34(70.8)
3.711
0.025
 
No
17(12.3)
36(16.4)
14(29.2)
  
The frequency of participation in teaching training
Never participated
6(4.3)
11(5.0)
3(6.3)
1.263
0.284
 
Occasionally participated
42(30.4)
83(37.7)
19(39.6)
  
 
Regularly participated
90(65.2)
126(57.3)
26(54.2)
  
Regular qualification audits
Yes
129(93.5)
182(82.7)
37(77.1)
5.778
0.003
 
No
9(6.5)
38(17.3)
11(22.9)
  
Teaching status
Part-time
127(92.0)
212(96.4)
46(95.8)
1.682
0.187
 
Full-time
11(8.0)
8(3.6)
2(4.2)
  
Psychological capital ( X ± S )
 
61.69 ± 6.965
54.79 ± 7.535
54.23 ± 9.089
39.175
< 0.001

Characteristics of different profiles

Based on the 40 items on role stress, a model was developed that contained three potential classes that maximized the degree of matching. The model fit statistics for the LPA are listed in Table 2. When more than three profiles were extracted, the AIC, BIC, and aBIC decreased slightly. The AIC, BIC, and aBIC values for Profile 4 were lower, and the entropy value was smaller than those for Profile 3. In addition, the p-value of the LMR for Profile 4 was not significant and had smaller entropy values than Profile 3. Consequently, Profile 3 was chosen as the best-fit model. According to the Profile 3 model, the high entropy value demonstrated that 97.40% of the individuals were cataloged into the correct potential profile.
Table 2
Fit indices for four models using latent profile analysis ( n = 406)
Profile
AIC
BIC
aBIC
pLMR
pBLRT
Entropy
Group size for each profile
1
2
3
4
1-profile
41937.36
42257.868
42004.017
-
-
-
406(100%)
   
2-profile
37286.723
37771.491
37387.541
0.0001
0
0.8
189(46.5%)
217(53.5%)
  
3-profile
35480.661
36129.69
35615.642
0.018
0
0.974
118(34.3%)
220(54.0%)
48(11.7%)
 
4-profile
34726.201
35539.491
34895.343
0.1106
0
0.967
42(11.5%)
146(34.9%)
183(43.7%)
35(10.0%)
Figure 2 shows the scores for the three profiles of the 40 role stress items using the Profile 3 model. Profile 1 scored higher on items 10 (i.e., I have enough teaching materials [e.g., textbooks, computers, classrooms, libraries, and demonstration rooms] to do my job) and 11 (i.e., I have enough time to meet my role expectations) than Profiles 2 and 3, while the rest of the items scored lower than Profiles 2 and 3. Items 10 and 11 were teaching resource related items; thus, Profile 1 was named “low role stress-high lack of teaching resources profile” and included 34.3% (118) of the CNTs. Profile 2 scored moderately on all 40 items of role stress and was named “moderate role stress profile” and included 57.0% (220) of the CNTs. Profile 3 scored higher than Profiles 1 and 2 on all items except items 10 and 11. Thus, Profile 3 was named “high role stress-low lack of teaching resources profile” and included 11.7% (48) of the CNTs.

Sociodemographic characteristics and psychological capital of each profile

Based on the latent profile analysis, the chi-square test was used to analyze further the differences in the distribution of sociodemographic variables and psychological capital among CNTs with different profiles. The distribution of CNTs in the different profiles differed in terms of education level, method of employment, presence or absence of pre-service training, presence or absence of regular qualification audits, and psychological capital, with statistically significant differences (P < 0.05). There was no statistically significant difference in the distribution of profiles in terms of age, sex, department, length of nursing experience, marital status, teaching status, frequency of participation in teaching training, or length of teaching experience (P > 0.05). Profile 2 had a significantly higher proportion of “contract employment, presence of pre-service training, bachelor’s degree, and with regular qualification audits” than the other two profiles. Profile 1 has a significantly higher mean psychological capital score than the other two profiles. The results are summarized in Table 1.
Next, multivariate unordered logistic regression analyses were conducted with variables that were significant in the chi-square test as independent variables and the potential profiles of role stress as dependent variables. Table 3 presents the results of the study. Compared to Profile 1 (low role stress-high lack of teaching resources profile), participants with high education levels were less likely to belong to Profiles 2 (moderate role stress profile) and 3 (high role stress-low lack of teaching resources profile). When taking Profile 1 as the reference, participants without regular qualification audits were less likely to belong to Profiles 2 and 3. In addition, individuals with contract employment were more likely to belong to Profile 2 compared to those with officially budgeted posts when taking Profile 1 as the reference (OR: 2.502, CI = 1.388–4.510). Furthermore, the results showed that individuals with low psychological capital scores were more likely to belong to Profile 3 when Profile 1 was used as a reference (OR: 0.874, CI = 0.843–0.907). Other variables were not significant in the multivariate unordered logistic regression.
Table 3
Multivariate unordered logistic regression for predicting in three profile latent classes among clinical nursing teachers
Variable
Profile 1(ref) VS Profile 2
Profile 1(ref) VS Profile 3
B
OR
95%CI
P
B
OR
95%CI
P
Education level ("Associated degree" as ref)
        
 Bachelor degree
-1.384
0.251
0.051 to 1.225
0.087
-17.502
2.505
6.302 to 9.960
< 0.001
 Master degree or above
-2.271
0.103
0.016 to 0.663
0.017
-18.026
1.484
2.308 to 5.603
< 0.001
Method of employment(" Officially budgeted posts " as ref)
        
 Human agency
0.317
1.371
0.667 to 2.826
0.389
-0.185
0.832
0.291 to 2.372
0.73
 Contract employment
0.917
2.502
1.388 to 4.510
0.002
0.436
1.547
0.604 to 3.962
0.363
Presence of pre-service training(”Absence "as ref)
        
 Presence
0.411
1.509
0.741 to 3.074
0.257
-0.25
0.779
0.317 to 1.914
0.586
Regular qualification audits(" with "as ref)
        
 Without
-0.918
0.399
0.172 to 0.929
0.033
-1.116
0.328
0.115 to 0.937
0.037
Psychological capital
-0.134
0.874
0.843 to 0.907
< 0.001
-0.146
0.864
0.821 to 0.910
< 0.001
Note: 95%CI, 95% Confidence Interval

Comparison of work engagement among the profiles

Taking each latent profile as an independent variable and the scores of work engagement as dependent variables, the results showed statistically significant differences between the different role stress profiles on work engagement scores (F = 27.28, P < 0.001). Table 4 presents the results of the study. After the post hoc tests, Profile 1 was found to have the highest score of work engagement (45.05 ± 6.55). Further post hoc test (LSD) results showed that Profile 1 scored significantly higher on work engagement than Profiles 2 and 3; however, there was no difference between Profiles 2 and 3.
Table 4
Comparison of work engagement scores with different role stress profiles among clinical nursing teachers
Profiles
Number
Means
Standard deviation
F
P
LSD
Profile 1
118
45.05
6.55
27.28
< 0.001
2 < 1,3 < 1
Profile 2
220
37.73
9.91
   
Profile 3
48
37.2
9.75
   

Discussion

To the best of our knowledge, this study is the first to identify the unique profiles of CNTs based on role stress. We found that there were three heterogeneous profiles of role stress among CNTs: low role stress-high lack of teaching resources profile (34.3% of the sample), characterized by high education level, and without regular qualification audits; moderate role stress profile (57.0% of the sample), characterized by the fact that most of the CNTs were on the contract employment; and high role stress-low lack of teaching resources profile (11.7% of the sample), characterized by the low education level among CNTs. A unique relationship exists between these three profiles: psychological capital and work engagement. Specifically, Profile 1 was associated with the highest psychological capital and work engagement scores, followed by Profile 2. Conversely, Profile 3 had the lowest psychological capital and work engagement scores.
The results showed that profile membership can be predicted by several sociodemographic characteristics, such as education level, presence or absence of regular qualification audits, and method of employment. Specifically, individuals with higher education (bachelor’s degree and above) were more likely to belong to Profile 1 (low role stress-high lack of teaching resources profile) than those with associated degrees. This result is consistent with the findings of Khoa [42]. The possible reasons for this result were as follows. According to stress cybernetic theory, individuals with different education levels react differently to various role stress [33]. CNTs with higher education have higher cognitive levels than those with associated degree. Specifically, CNTs with associated degrees have weaker theoretical foundations and poorer understanding of clinical nursing teaching goals than others, and need to make more efforts in clinical nursing teaching [43]. CNTs with higher education have stronger professional skills, better research ability, and more career development opportunity. They can learn different role-related knowledge and understand clinical nursing teaching goals better, leading to lower role stress than those with associated degrees [44, 45]. However, CNTs with higher education are also expected to take on more roles by hospital administrators, and need more teaching resources (including time, efficient multimedia, and the latest textbooks) to fulfill various role expectations. Therefore, hospital administrators should realize the specific problem (lack of teaching resources) of CNTs with higher education. Hospital administrators should construct CNTs’ teaching resources demand assessment system, organize regularly dynamic assessment, and also carry out regular symposiums to solve teaching resources problems in time; rationally arrange the weekly frequency of clinical nursing teaching according to their clinical time; provide more clinical nursing teaching academic conferences, regularly conduct special lectures, etc., so as to continuously instruct CNTs with the latest teaching methods, enhance CNTs’ teaching ability, and thus improve CNTs’ work engagement.
In addition, the main characteristics of Profile 3 (high role stress-low lack of teaching resources profile) were CNTs with regular qualification audits. This finding is similar to that of previous study [46]. Hospitals with regular qualification audits for CNTs generally have stricter clinical nursing teaching management. Compared to CNTs employed on tenure-track basis without regular qualification audits, CNTs with regular qualification audits are usually core teachers in hospitals with high expectations of themselves. In addition, CNTs with regular qualification audits are at risk of being eliminated, and they are exposed to the latest teaching concepts and skills while preparing for each qualification audit. Through learning processes for qualification audits, CNTs improve clinical nursing teaching ability and gain clearer understanding of teaching tasks [47]. This also motivates them to pursue higher standards of clinical nursing teaching quality, leading to higher role stress.
The results also showed that individuals with contract employment were more likely to belong to Profile 2 (moderate role stress profile) compared to the CNTs of officially budgeted posts when Profile 1 was used as a reference. This result is consistent with a study of Iranian nurses [48]. Currently, most hospitals in China have adopted diversified employment systems, which affects CNTs’ role stress profile [49]. The requirements for CNTs in officially budgeted posts are higher; approximately half of the CNTs in hospitals are contract employees. They do same work. However, contract-employed CNTs are paid and treated differently to those in officially budgeted posts. This causes some psychological imbalance among contract-employed CNTs. Moreover, there was lack of continuing education and advancement opportunities compared to CNTs in officially budgeted posts. Finally, contract-employed CNTs may not feel secure enough and may risk losing their jobs if they make mistakes while working. These findings highlight the need for hospital administrators to pay more attention to contract-employed CNTs.
This study also found that individuals with lower psychological capital were more likely to be categorized into Profiles 2 and 3. Several variable-centered studies have shown that psychological capital negatively predicts role stress [28, 50]. Job demands resource (JD-R) model indicated that intrinsic resources, i.e., psychological capital, help individuals to fulfil their work goals, reduce work consumption, and promote individual progress in order to effectively alleviate their role stress level [23]. Specifically, CNTs with higher psychological capital possess more psychological resources, and when faced with the demands of numerous role stressors, they are better able to cope with different stressors because of their positive psychological traits. Meanwhile, self-efficacy and hope reduce low achievement associated with high role ambiguity, optimism reduces emotional exhaustion associated with role stress, and resilience positively adjusts coping strategies to deal with high role stress [51]. Finally, this study provides further evidence of the impact of psychological capital on role stress from an individual-centered perspective. Therefore, hospital administrators can select CNTs with high psychological capital in Profile 1 to share their experiences in dealing with role stress in clinical teaching work. Meanwhile, hospital administrators can also provide planned group counseling or psychological training to increase CNTs’ sense of self-efficacy, resilience and hope. Through these effective strategies, they can assist CNTs in improving psychological capital levels, and in tun, alleviate their role stress levels.
Finally, this study found significant differences in work engagement among the three role stress profiles. In particular, work engagement increased sequentially in Profiles 3, 2, and 1 and was lowest in the high role stress - low lack of teaching resources profile. Previous studies have shown that role stress is significantly and negatively associated with work engagement [31]. Meanwhile, stress cybernetic theory shows that when individuals are in long-term stressful state, if they do not actively deal with the stress, it leads to negative emotions, which eventually leads to negative behaviors, such as lower work efficiency [33]. Specifically, as role stress acts as a long-term stressor for CNTs, it can cause them feel tired and anxious, negatively affecting CNTs’ teaching behavior, and consequently negatively affecting their work engagement level and teaching quality. Therefore, hospital administrators should promptly identify high-perceived role stress profiles, through increasing staffing to help reduce their workload, rationally arranging training clinical nursing teaching theory and skills activities, etc. Simultaneously, CNTs should also enhance their work competence, correctly recognize role stress, improve their ability to cope with role stress, and find a balance among multiple roles in contributing to the decline their level of role stress and eventually improve their work engagement levels.

Limitations

This study has some limitations. First, the cross-sectional design of the study limits the exploration of causal relationships. Second, this study only used self-report questionnaires to collect data, which carries the risk of individual recall bias and subjectivity. In addition, we only explored the effects of personal influence (psychological capital) on different profiles of role stress. Finally, owing to the limitations of human and material resources, only teaching hospitals in Shandong Province, China, were selected for the study.

Conclusions

In summary, obvious profile characteristics of role stress were found among CNTs, and the three-profile model was the best, including low role stress-high lack of teaching resources, moderate role stress, and high role stress -low lack of teaching resources profile. Approximately 68.7% of CNTs were in moderate role stress and high role stress-low lack of teaching resources profiles. Their profiles differed primarily in terms of sociodemographic characteristics, psychological capital, and work engagement. Thus, nurse administrators should provide regular qualification audits, opportunities to improve education levels, more effective teaching resources, The following is study implication. Hospital administrators can adopt targeted interventions based on the heterogeneity of CNTs role stress in human resource practices. For example, first, hospital administrators can screen suitable CNTs based on demographic and psychological capital characteristics. Second, based on the CNTs role stress profiles characteristics, different profiles’ work needs should be dynamically assessed regularly as to provide support, such as timely provision of more effective teaching resources, provision of regular qualification audits, opportunities to improve education level, and facilitate psychological capital for CNTs to decrease their role stress and improve their work engagement. Finally, future studies should (1) adopt a longitudinal study design is to explore the complex dynamics among psychological capital, role stress, and work engagement, (2) adopt a combination of self-assessment and other-assessment methods or include other objective indicators to conduct the study, (3) explore organizational factors (perceived superior social support) to understand individual differences in role stress better, and (4) use multicenter, large-sample designs. (i.e., including teaching hospitals in different countries with different provinces and education levels in the study).

Acknowledgements

The authors would like to thank the clinical nursing teachers who participated in the study for supporting data collection and completing all surveys.

Declarations

This ethic guidelines of the Declaration of Helsinki were strictly adhered to in this study. The study was approved by the Ethics Committee of Qilu Hospital of Shandong University [ (2019) Lun Review No. (98)], and participants consented to data collection. The purpose of the study and the study process were communicated to all participants prior to the start of the study. Informed consent was obtained from all participants before the study began. All participants volunteered to participate in this study and they had the right to withdraw from the study at any time. All data collected were kept strictly private.
Not applicable.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
Relationships between role stress profiles, psychological capital, and work engagement among Chinese clinical nursing teachers: a cross-sectional latent profile analysis
verfasst von
Xiangjie Sun
Haiyan Yin
Fenge Zhao
Publikationsdatum
01.12.2025
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2025
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-025-02849-9