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Open Access 01.12.2025 | Research

Nurses’ work value patterns and their relationship with burnout: a cross-sectional study based on latent profile analysis

verfasst von: Yuecong Wang, Xin Wang, Li Gao, Yuanhui Ge, Meng Xue, Yaling Ji

Erschienen in: BMC Nursing | Ausgabe 1/2025

Abstract

Background

There is a significant association between work values and burnout. However, most studies have tended to focus on a single influencing factor or rely only on total scale scores to assess nurses’ work values, lacking a comprehensive consideration of differences within groups of nurses. As a result, the specific relationship between different work value patterns and burnout has not been clarified.

Objective

This study aimed to identify Chinese nurses’ patterns of work values, analyze the sociodemographic differences between these patterns, and explore the associations between these patterns and burnout.

Design

Cross-sectional study.

Methods

A total of 550 nurses were recruited for this study via convenience sampling, 505 of whom completed the survey. A pattern of nurses’ work values was identified through a latent profile analysis of 30 items on the nurses’ work values scale. The relationships between nurses’ work value patterns and sociodemographic variables were subsequently explored via bivariate analysis and multiple logistic regression analyses. Moreover, ANOVA was used to assess the associations between different latent profile work value patterns and nurse burnout.

Results

A total of three nurse work value patterns were identified: demand support (16.6%, n = 84), intrinsically driven (42.2%, n = 213), and overall identification (41.2%, n = 208). Age and marital status, such as being married, were the main predictors of demand support patterns. In contrast, years of working experience, a higher education level (a bachelor’s or master’s degree), and having a career establishment were predictors of intrinsically driven and overall identification patterns. In addition, the analyses revealed significant differences in burnout among nurses with different work value patterns.

Conclusion

This study provides new perspectives for understanding the work motivation and stressors of the nurse population, revealing significant differences in coping with burnout among nurses with different work value patterns. This finding not only provides an important reference for subsequent research but also provides a strong basis for developing interventions for nurse burnout.

Clinical trial number

Not applicable.
Hinweise

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Background

The nursing profession occupies an irreplaceable and important position in modern healthcare systems, undertaking critical tasks such as monitoring patient health, performing medical procedures, administering medications, and providing emotional support [1]. Nurses play an important role in health education and disease prevention, promoting public health by communicating information about healthy lifestyles and disease prevention to patients and community members, with particular contributions in the areas of vaccination programs, chronic disease management, and maternal and child care [2]. In interdisciplinary collaboration, nurses work closely with professionals such as physicians, pharmacists, and therapists to ensure the provision of integrated and continuous patient care and play a key role in the coordination of follow-up care and home health care after patient discharge. As healthcare needs continue to grow and become more complex, the nursing profession will become even more important and contribute to global health [3].
Work values are the value orientations and belief systems that individuals exhibit while in the workplace. For nurses, work values reflect the fundamental beliefs and principles they follow in their professional practice and have a profound impact on their behavioral styles, decision-making processes, and strategies for coping with stress [4]. For example, the value of caring for patients can motivate nurses to remain patient and compassionate despite high-pressure situations [5]. In addition, professional responsibility and teamwork not only contribute to nurses’ job satisfaction but also enhance their ability to cope with work challenges and stress [2]. Basinska [5] classified work values into intrinsic and extrinsic work values on the basis of self-determination theory. Hara [6] further subdivided nurses’ work values into four categories, intrinsic, extrinsic, social, and prestige, and classified the group of nurses in the Tohoku region of Japan into five subgroups, self-directed, low, low-moderate, medium-high, and high, through latent profile analysis [7]. Although studies have been conducted to explore the values of nursing students [4], in-depth studies on the work values of working nurse groups remain relatively underdeveloped.
Burnout is a psychological state of emotional exhaustion, depersonalization, and low achievement experienced by individuals in occupational fields that serve people [8]. Studies have shown that 69.21% of family nurses experience moderate to high levels of burnout, while the incidence of burnout among first-line hospital nurses in China ranges from 55.4 to 70.05% [9]. Among them, emotional exhaustion is a core feature of burnout, and prolonged emotional and mental burdens may lead to a gradual loss of empathy and patience with patients. Depersonalization, on the other hand, manifests itself in alienation and indifference toward patients, viewing them as objects of job duties rather than individuals in need of help. In addition, nurses may feel disappointed with their professional achievements and feel that their efforts are not properly recognized, thus reducing their work engagement. Nurses face multiple challenges in high-pressure healthcare environments, including dealing with large numbers of patients, coping with intense work rhythms, and bearing significant emotional burdens, and these pressures continue to accumulate, leading to increased burnout [10]. To address these challenges effectively, burnout needs to be mitigated by improving the work environment, providing psychological support, increasing professional development opportunities, promoting teamwork, and encouraging healthy lifestyles to increase nurses’ job satisfaction and quality of care [11, 12].
Previous research has shown a significant association between work values and burnout [5]. However, this relationship may be moderated by the work environment and individual factors. In addition, most studies have focused on a single influencing factor or assessed the current status of nurses’ work values on the basis of only total scale scores, which lack a comprehensive consideration of the heterogeneity within the nurse population and have not yet clarified the specific associations between different work value patterns and burnout. To overcome this limitation, latent profile analysis (LPA) has been widely used as an effective method [13, 14, 15, 16]. LPA is person-centered and based on the latent variable model to estimate the relationship between exogenous and latent variables and to classify the latent traits of individuals on the basis of their scores on each entry, as well as to estimate the different proportions of different latent groups [17, 18]. This method can deeply explore the characteristics of different latent profile groups and reveal the complex relationship between work values and burnout.
Therefore, this study aims to explore the latent profiles of nurses’ work values via the LPA method and to analyze the associations between these profiles and burnout. Through in-depth analyses of the characteristics of different latent profiles and their influencing factors, this study provides a scientific basis and practical reference for improving nurses’ work values and alleviating burnout.

Methods

Study design and participants

This study used a cross-sectional design. The research team surveyed clinical nurses in three tertiary-level hospitals in Jiangsu and Zhejiang from April to May 2024, and participants were recruited via convenience sampling. According to Kendall’s classic sample size estimation strategy [19], the sample size should be 5–10 times the number of variables. The demographic questionnaire used in this study included 11 variables, the nurses’ work values scale (NWVS) included 30 variables, and the Maslach Burnout Inventory-General Survey (MBI-GS) included 15 variables, for a total of 56 variables; thus, the sample size should be between 280 and 560 cases. To further enhance the robustness of the study, we considered possible cases of missing data or invalid questionnaires, assuming an invalidity rate of 10%. On the basis of this adjustment, the target sample size n = (280–560) ÷ (1–10%) = 312–623 cases was finally calculated. After rigorous screening, 550 clinical nurses who fully met the inclusion and exclusion criteria were successfully recruited to participate in this study. The inclusion criteria were as follows: (1) had obtained a certificate of nurse practice; (2) had at least six months of clinical nursing experience; and (3) were aware of the purpose of the study and voluntarily signed the informed consent form. The exclusion criteria were as follows: (1) nurses in an internship, standardized training stage, or out for further training; and (2) nurses who could not be on duty during the study period for personal reasons such as casual leave, maternity leave, or sick leave.

Measures

General information questionnaire

The demographic questionnaire was designed by the research team and included age, years of working experience, gender, position, education level, marital status, religion, clinical unit, professional title, career establishment, and number of night shifts per month.

NWVS

The scale was developed by Hara [6] and consists of four factors, intrinsic work values, extrinsic work values, social work values, and prestige work values, totaling 30 specific items designed to provide an in-depth assessment of the professional value orientation of nursing professionals. The assessment was conducted via a standard five-point Likert scale approach, with scores progressively increasing from 1 (not at all important) to 5 (very important), with a total score ranging from 30 to 150, providing a quantitative frame of reference for each participant’s professional values. The higher the score is, the more profound the recognition and attention of nurses are to their professional values. The Chinese version of the NWVS scale used in this study was developed through standard translation and cultural adaptation procedures. First, the original English scale was independently translated into Chinese by two bilingual researchers who were proficient in English and Chinese. Subsequently, another bilingual researcher, who was not involved in the initial translation, translated the Chinese version back into English to ensure the accuracy of the translation. During the translation process, a panel of experts (including nursing experts and linguists) reviewed and revised the translated version to ensure the accuracy and cultural appropriateness of language expression. Finally, the Chinese version of the scale was pre-tested with a group of Chinese nurses, and the results showed that it had good reliability and validity. In this study, the Cronbach’s alpha coefficients for each factor were 0.960, 0.862, 0.940, and 0.886, respectively, and the total Cronbach’s alpha coefficient was 0.920, demonstrating a high degree of consistency among the entries within the scale.

MBI-GS

The scale was developed by Maslach [20] and translated and revised into Chinese by Li [21]. The scale consists of three core factors, emotional exhaustion (5 items), depersonalization (4 items), and low achievement (6 items), with a total of 15 items. All the items were assessed via a 7-point Likert scale ranging from 0 (not at all) to 6 (fully). Each factor score was the sum of the scores of the corresponding items, with the low-achievement factor scored in the reverse direction and the emotional exhaustion and depersonalization factors scored in the positive direction. Higher total scores indicate greater levels of emotional exhaustion and depersonalization, along with lower levels of personal accomplishment. In this study, the total Cronbach’s α coefficient was 0.856, which indicates that the scale has good internal consistency.

Data collection

Data collection for this study was conducted by four systematically trained researchers. To ensure data quality, the training covered the study protocol, survey procedures, interpretation of questionnaire items, and use of standardized language during data collection to avoid leading explanations. During data collection, the researchers strictly adhered to consistent inclusion and exclusion criteria for participant recruitment. At the questionnaire completion stage, standardized instructions were provided, and the surveys were distributed and collected onsite. In cases where incomplete questionnaires were identified, the researchers promptly verified and addressed the missing data with the respondents to ensure authenticity and accuracy. A total of 550 questionnaires were distributed, with 505 valid responses collected, yielding an effective response rate of 91.8%.

Ethical considerations

The study was formally approved by the ethics committee of Taizhou Hospital of Zhejiang Province (approval number: KL20231006). Before the implementation of the study, the research team explained in detail to all potential participants the content and purpose of the study, as well as the possible positive impacts and benefits of participating in the project. Strict ethical guidelines were followed, and we ensured that each participant signed an informed consent form after being fully informed about the study to ensure that their rights and interests were fully respected and protected.

Data analysis

SPSS 25.0 software was used to establish the database, and data entry and organization were performed. Data analysis was performed via SPSS 25.0 and Mplus 8.3 software, with the significance test level set at α = 0.05, and P < 0.05 was considered statistically significant in the two-sided test.
LPA were conducted via Mplus 8.3 software, with the 30-item scores from the nurses’ work values scale as the dominant variable. The fit metrics for the latent profile analysis model included the Akaike information criterion (AIC), Bayesian information criterion (BIC), adjusted Bayesian information criterion (aBIC), the entropy of classification accuracy, Lo‒Mendell‒Rubin (LMR), and bootstrap likelihood ratio test (BLRT) [22]. Among them, the smaller the values of AIC, BIC, and aBIC are, the better the model fit [23]. Entropy is used to assess the accuracy of category classification and takes a value ranging from 0 to 1. Usually, an entropy > 0.8 indicates that the classification accuracy is greater than 90% [24]. LMR and BLRT are used to compare the differences in the fit of the models for the n-1 and n-category models. When the p value of both reaches a significant level, the n-category model is superior to the n-1-category model [25].
Measurement data were analyzed via the mean ± standard deviation, and count information was expressed as the frequency and percentage. Comparisons of count data between groups were performed via the chi-square test. Multiple logistic regression was used to analyze the factors affecting the work values of nurses with different profiles. In addition, analysis of variance (ANOVA) was used to explore the differences in burnout among nurses with different work value patterns.

Results

Demographic characteristics of the participants

A total of 505 clinical nurses were surveyed in this study; their ages ranged from 21 to 54 years, and their working experience ranged from 1 to 36 years. Among the participants, 91.9% were female, 95.6% were nonreligious, 67.1% had a bachelor’s degree, 56.8% were married, 61.6% were junior, 30.9% worked in internal medical nursing, 92.9% were general clinical nurses, 58% were not career establishments, and 41.2% worked night shifts five to eight times per month. Other details are given in Table 1.
Table 1
Demographic characteristics of the participants (n = 505)
Variable
N (%)
M (SD)
Age
 
31.25 (6.61)
Years of work experience
 
9.15 (7.50)
Gender
  
 Male
41 (8.1)
 
 Female
464(91.9)
 
Religion
  
 Yes
22 (4.4)
 
 No
483 (95.6)
 
Educational
  
 College or below
125 (24.8)
 
 Bachelor
339 (67.1)
 
 Master
41 (8.1)
 
Marital status
  
 Married
287 (56.8)
 
 Single
218 (43.2)
 
Professional title
  
 Junior
311 (61.6)
 
 Intermediate
154 (30.5)
 
 Advanced
40 (7.9)
 
Clinical unit
  
 Internal medical
156 (30.9)
 
 Surgical
132 (26.1)
 
 Emergency
25 (5.0)
 
 ICU
147 (29.1)
 
 Other
45 (8.9)
 
Position
  
 Regular nurse
469 (92.9)
 
 Director, Deputy director, Head nurse, or Assistant head nurse
28 (5.5)
 
 Administrative and other
8 (1.6)
 
Career establishment
  
 Yes
212 (42.0)
 
 No
293 (58.0)
 
Number of night shifts per month
  
 None
86 (17.0)
 
 1–4
131 (25.9)
 
 5–8
208 (41.2)
 
 ≥ 9
80 (15.8)
 
Note: M: mean; SD: standard deviation

Latent profiling and naming of nurses’ work values

With 30 items of the nurses’ work values scale as explicit indicators, 1 to 5 latent profile models were constructed, and the results are shown in Table 2. As the number of latent profiles increased from 1 to 5, the fitting indices AIC, BIC, and aBIC gradually decreased. Entropy decreases and then increases, reaching its lowest point in the three-profile model (entropy = 0.958). Moreover, the LMR and BLRT were statistically significant in Model 2 and Model 3, while the p value of the LMR was > 0.05 in the four-profile model. Therefore, the three-profile model is finally chosen as the best classification scheme in this study.
Table 2
Latent profiling of nurses’ work values fitting indices
Model
Loglikelihood
AIC
BIC
aBIC
Entropy
LMR
BLRT
Profile probability
1-profile
-18836.110
37792.220
38045.694
37855.248
N/A
N/A
N/A
1
2-profile
-17302.056
34786.112
35170.547
34881.703
0.982
< 0.001
< 0.001
0.19/0.81
3-profile
-16126.652
32497.303
33012.699
32625.459
0.958
< 0.001
< 0.001
0.17/0.42/0.41
4-profile
-15655.089
31616.178
32262.535
31776.898
0.964
0.072
< 0.001
0.16/0.28/0.21/0.35
5-profile
-15240.634
30849.269
31626.588
31042.553
0.969
0.174
< 0.001
0.04/0.14/0.21/0.26/0.35
Note: The model solution chosen is bolded.
The probabilities of scores on all the items for the three latent profiles of nurses’ work values are shown in Fig. 1. Profile 1 accounts for 16.6% of the total sample, and the average score of the four factors in this profile is relatively low, especially in terms of internal work value and prestige work value. This showed that the nurses in this group had a low pursuit of internal satisfaction and professional reputation, whereas the recognition of external and social work value was relatively high. Therefore, this profile is named the “demand support work values pattern.” These nurses primarily rely on external and social support to maintain their professional stability and life balance. This reliance on external support is evident in their higher recognition of external and social work values, which are primary sources of satisfaction and motivation. Profile 2 accounted for 42.2%, and this group of nurses scored significantly higher on intrinsic work value than other factors did, reflecting their high emphasis on personal accomplishment, work pleasure, and intrinsic motivation. Although the extrinsic, social, and prestige work value scores were relatively balanced, they were all lower than the intrinsic work value scores. Therefore, the profile is named the “Intrinsically driven work value pattern.” Profile 3 accounts for 41.2%, and this group has a higher and more balanced score on the four factors, indicating that they have greater recognition and attention to internal, external, social, and prestigious work value and a positive attitude toward the value of multifactor work. Therefore, the profile is named the “Overall identification work values pattern.”

Bivariate analysis of different latent profiles of nurses’ work values

The differences between the three groups of nurses in terms of age, years of working experience, education, marital status, and career establishment were statistically significant (P < 0.05 ). However, the differences in terms of gender, professional title, religion, clinical unit, position, and number of night shifts per month were not statistically significant (P > 0.05). See Table 3 for details.
Table 3
Bivariate analysis of different latent profiles of nurses’ work values
Variable
Demand support work value pattern (n = 84)
Intrinsically driven work value pattern (n = 213)
Overall identification work value pattern (n = 208)
F/X2
P
Age
31.49 ± 6.84
32.20 ± 6.81
30.17 ± 6.17
5.129
0.006
Years of work experience
9.02 ± 7.09
10.22 ± 8.09
8.11 ± 6.89
4.251
0.015
Gender
   
1.004
0.605
 Male
7 (17.1)
20 (48.8)
14 (34.1)
  
 Female
77 (16.6)
193 (41.6)
194 (41.8)
  
Religion
   
5.150
0.076
 Yes
7 (31.8)
10 (45.5)
5 (22.7)
  
 No
77 (15.9)
213 (42.0)
208 (42.0)
  
Education
   
41.860
< 0.001
 College or below
43 (34.4)
46 (36.8)
36 (28.8)
  
 Bachelor
39 (11.5)
144 (42.5)
156(46.0)
  
 Master
2 (4.9)
23 (56.1)
16 (39.0)
  
Marital status
   
10.253
0.006
 Married
61 (21.3)
115 (40.1)
111 (38.7)
  
 Single
23 (10.6)
98 (45.0)
97 (44.5)
  
Professional title
   
3.046
0.525
 Junior
52(16.7)
125 (40.2)
134(43.1)
  
 Intermediate
28 (18.2)
68 (44.2)
58 (37.7)
  
 Advanced
4 (10.0)
20 (50.0)
16 (40.0)
  
Clinical unit
   
5.954
0.624
 Internal medical
26 (16.7)
65 (41.7)
65 (41.7)
  
 Surgical
24 (18.2)
61 (46.2)
47 (35.6)
  
 Emergency
6 (24.0)
10 (40.0)
9 (36.0)
  
 ICU
24 (16.3)
56 (38.1)
67 (45.6)
  
 Other
4 (8.9)
21 (46.7)
20 (44.4)
  
Position
   
4.312
0.234
 General nurse
81(17.3)
195 (41.6)
193 (41.2)
  
 Director, Deputy director, Head nurse, or Assistant head nurse
1 (3.6)
15 (53.6)
12 (42.9)
  
 Administrative and other
2 (25.0)
3 (37.5)
3 (37.5)
  
Career establishment
   
17.524
< 0.001
 Yes
18 (8.5)
97 (45.8)
97 (45.8)
  
 No
66 (22.5)
116 (39.6)
111 (37.9)
  
Number of night shifts per month
   
12.283
0.056
 None
8 (9.3)
43 (50.0)
35 (40.7)
  
 1–4
22 (16.8)
55 (42.0)
54(41.2)
  
 5–8
37 (17.8)
93 (44.7)
78 (37.5)
  
 ≥ 9
17 (21.3)
22 (27.5)
41 (51.2)
  

Multivariate logistic regression analysis of latent profiles of nurses’ work values

Multiple logistic regression analyses were conducted with the latent profiles of nurses’ work values as the dependent variable, and statistically significant factors from the bivariate analysis were selected as the independent variables. The results revealed that in the comparison between the demand support work value pattern and the intrinsically driven work value pattern, older nurses (OR = 0.808, P < 0.05) with a marital status of married (OR = 0.225, P < 0.001) were more likely to ascribe to the demand support work value pattern, whereas nurses with more years of working experience (OR = 1.283, P < 0.05) and a bachelor’s degree (OR = 3.235, P < 0.001) or master’s degree (OR = 14.529, P < 0.05) and having a career establishment (OR = 2.110, P < 0.05) were more inclined to ascribe to the intrinsically driven work value pattern. In a comparison of the overall identification work value pattern with the demand support work value pattern, nurses who were older (OR = 0.699, P < 0.05) and married (OR = 0.433, P < 0.05) were more likely to attribute this pattern to the demand support work value pattern, whereas nurses with more years of work experience (OR = 1.344, P < 0.05), education with a bachelor’s degree (OR = 4.394 P < 0.001) or master’s degree (OR = 12.597, P < 0.05), and nurses with career establishment (OR = 2.818, P < 0.05) were more likely to attribute this pattern to the overall identification work value pattern. The specific results are shown in Table 4.
Table 4
Multiple logistic regression analysis of latent profiles of nurses’ work values
Variable
Demand support work value pattern (Ref)
Intrinsically driven work value pattern
 
Overall identification of work value pattern
OR
95% CI
P value
 
OR
95% CI
P value
Age
0.808
0.660–0.991
0.040
 
0.699
0.565–0.864
0.001
Years of working experience
1.283
1.074–1.533
0.006
 
1.344
1.116–1.617
0.001
Education(Ref: College or below)
       
 Master
14.529
2.890–73.040
0.001
 
12.597
2.426–65.407
0.003
 Bachelor
3.235
1.732–6.043
< 0.001
 
4.394
2.316–8.338
< 0.001
Marital status(Ref: Single)
       
 Married
0.225
0.107–0.474
< 0.001
 
0.433
0.206–0.907
0.027
Career establishment(Ref: No)
       
 Yes
2.110
1.041–4.280
0.038
 
2.818
1.387–5.726
0.004

Relationships between latent profiles of nurses’ work values and burnout

A differential comparison of burnout levels among nurses with different work values revealed that the difference in the three dimensions of burnout among nurses with different work values was statistically significant (p < 0.001). The highest total burnout score was reported for nurses with a demand support work value pattern (64.86 ± 9.80), whereas the lowest total burnout score was reported for nurses with an overall identification work value pattern (52.25 ± 13.03). See Table 5 for details.
Table 5
Differential analysis of three patterns of nurses’ work values and burnout
Variable
Emotional exhaustion
Depersonalization
Low sense of achievement
Demand support work value pattern
22.89 ± 4.48
17.64 ± 4.54
24.32 ± 6.10
Intrinsically driven work value pattern
20.64 ± 7.08
14.92 ± 5.99
20.76 ± 5.61
Overall identification of work value pattern
18.81 ± 6.39
13.37 ± 5.60
20.08 ± 6.09
F
12.725
17.522
16.030
P
< 0.001
< 0.001
< 0.001
PostHoc
1>2>3
1>2>3
1>2, 3

Discussion

For the first time, this study used the LPA technique to reveal in depth the structure of the underlying patterns of work values in the Chinese nurse population, explored the complex relationships between these patterns and burnout, and validated the influencing factors associated with the different patterns of work values. Three main findings emerged from the study. First, the work values of nurses can be categorized into three patterns: demand support, intrinsically driven, and overall identification work value patterns. These patterns showed significant differences in group heterogeneity and individual variability. The results differed from those of Hara et al.‘s [7] study of Japanese nurses and were inconsistent with the number of subgroups in studies of Finnish student-to-worker groups and Canadian government workers [26, 27]. This difference may be related to the significant differences between the two countries in terms of cultural background, social systems, education and training systems, work environments, career development opportunities, and policy support [28]. For instance, Chinese nurses often face unique challenges such as a rapidly evolving healthcare system, increasing patient expectations, and a heavy workload. Additionally, the Chinese nursing education and training system emphasizes practical skills and professional ethics, which may shape the work values differently than in other countries [11]. Moreover, the limited career advancement opportunities and the hierarchical nature of the healthcare system in China may also influence the work values of nurses. These factors may have contributed to the fact that Chinese nurses were more inclined to intrinsically drive and fully identify work value patterns, whereas Japanese nurses showed a more diverse range of work value patterns from low to high. Second, the study identified five main influences on nurses’ work value patterns: age, years of working experience, marital status, education level, and form of employment. Finally, the study also revealed significant differences in the three dimensions of burnout among nurses with different work value patterns.
Among the three work value models, the demand support pattern had the smallest percentage at 16.6%. Nurses in this model scored lower on intrinsic and prestige work values and higher on extrinsic and social work values, suggesting that they are more inclined to value realistic rewards at work (e.g., pay, benefits, work environment, etc.) and pay less attention to intrinsic motivation. The motivation of these nurses relies mainly on external support, and they particularly value interaction and collaboration with colleagues, superiors, and organizations. They feel professional value through good teamwork, leadership support, and a harmonious working atmosphere and tend to find job satisfaction in interpersonal relationships. These nurses value sharing experiences, building close relationships with colleagues, and enhancing professional identity through interaction. A distinguishing characteristic of this model is its need for social support, rather than its tendency to provide social support. Demand support nurses emphasize enhancing external support for occupational satisfaction, reflecting their reliance on social needs and interactions at work. Therefore, managers can increase the job satisfaction of such nurses by strengthening external incentives, such as improving remuneration packages, upgrading job security, or increasing team-building activities. Moreover, improving the social support system, especially in terms of teamwork and psychological support, providing psychological counseling, and promoting close teamwork can effectively meet the needs of demand support nurses and thus enhance their sense of professional identity [29].
It was also found in this study that the intrinsically driven work value pattern had the largest percentage of 42.2%. In this pattern, nurses’ intrinsic work value scores were significantly higher than those of the other factors, whereas extrinsic, social, and prestige work value scores were moderate. The core work motivation of intrinsically driven nurses stems from personal fulfillment and love for nursing. They place high value on personal growth, skill enhancement, and enjoyment through their work and particularly seek a sense of responsibility and purpose. These nurses tend to provide high-quality nursing services and gain a sense of achievement through continuous improvement in their professional competence and knowledge. They usually show strong initiative and responsibility, can respond effectively to complex nursing problems, and can maintain a positive attitude in the face of challenges. For intrinsically driven nurses, work is not only a manifestation of their profession but also a realization of their values. Therefore, they are more inclined to derive motivation from the intrinsic satisfaction of nursing work and professional progress. To motivate this group of nurses, managers should focus on providing opportunities for professional development, recognizing their contributions, and encouraging autonomy. Given their high need for self-fulfillment and skill enhancement, providing continuous professional training and promotion opportunities substantially increases their job satisfaction and further enhances their commitment to and identification with their profession [30].
The results revealed that 41.2% of the nurses were in the overall identification work value pattern. In this pattern, nurses’ intrinsic, extrinsic, social, and prestige work values are relatively balanced, which indicates that they do not rely solely on one factor as a motivation for their work but rather that their multifaceted needs need to be met. These nurses usually demonstrate an integrated professional attitude, seek job fulfillment and personal values, and value reasonable financial rewards and support from colleagues. They can balance intrinsic motivation and external incentives and demonstrate a high degree of adaptability and stability in the face of changes in the work environment. Since holistic identity nurses have high expectations of multiple value factors, the absence or unfulfilment of any one factor may affect their overall work experience. Therefore, comprehensive motivational measures for this type of nurse are crucial. Managers should not only focus on their professional growth and the realization of their intrinsic value but also provide a competitive remuneration system and good social support [31]. In addition, enhancing their professional prestige and encouraging and recognizing their work contributions can also effectively increase their job satisfaction and sense of professional achievement. Internal motivation and external recognition can help these nurses maintain positive work attitudes and enhance their professional identity.
This study revealed that age and marital status were significant predictors of the demand support work value pattern. As age increases, nurses’ professional motivation gradually shifts from intrinsic drive to the need for external support. This shift suggests that older nurses place greater value on stability and social interaction at work [32] rather than relying solely on intrinsic accomplishment or skill enhancement. They valued a harmonious work atmosphere, coworker support, and caring leadership to relieve work stress and enhance career satisfaction. Moreover, nurses who were married also reported a greater need for external support. This is closely related to the reality of married nurses balancing dual responsibilities between family and career [33]. Married nurses tend to rely on the support of colleagues in the work environment, caring leadership, and social security provided by the organization to cope with the dual pressures of life and work. Therefore, both married and older nurses show a strong need for social interaction and external support to gain a sense of professional stability and life balance through these external resources, which in turn reflects a more pronounced pattern of socially supportive work values.
Nurses with years of working experience, higher education levels, and career establishment all tended to exhibit intrinsically driven and overall identification work value patterns, which were closely related to their career trajectories. With increasing years of working experience, nurses have gradually accumulated rich clinical experience and professional skills, which has prompted them to focus more on intrinsic motivation, such as personal fulfillment, responsibility, and deep involvement in nursing [34]. Moreover, these nurses not only seek a high degree of autonomy and professional self-confidence but also identify with external motivation, team support, and professional prestige, reflecting a balance of multiple work values. Highly educated nurses, especially those with bachelor’s and master’s degrees and stronger professional knowledge and skills, demonstrate strong internal drive, pursue professional growth and self-actualization, and focus on external social support, prestige, and financial rewards, demonstrating a comprehensive sense of professional identity [35]. In addition, through the welfare protection and social recognition provided by the establishment, nurses with career establishment further stimulate their intrinsic motivation, as they enjoy career stability and clear promotion opportunities while realizing the satisfaction of multifaceted career needs, reflecting the dual values of intrinsic drive and comprehensive identity.
The results of this study revealed that there were significant differences in burnout levels among nurses with different work value patterns, further highlighting the profound impact of work values on burnout [5]. Nurses in the demand support pattern scored the highest in emotional exhaustion and depersonalization, but had the lowest score in low sense of achievement, indicating they are most prone to psychological fatigue and burnout when external support, coworker collaboration, or leadership care is insufficient [36]. Comparatively, overall identification nurses had the lowest scores in emotional exhaustion and depersonalization, but had the highest score in low sense of achievement, suggesting they have achieved a better balance between intrinsic motivation and external incentives, demonstrating high occupational stability and adaptability. Intrinsically driven nurses scored intermediate levels in emotional exhaustion and depersonalization, but had the second-highest score in low sense of achievement, indicating they experience moderate levels of burnout but still maintain a relatively high sense of achievement. These nurses have a greater pursuit of self-growth and professional advancement but may experience increased burnout when resources are limited or the workload is too heavy due to excessive self-requirement. Therefore, nurses with different work value patterns cope with burnout differently. For demand support nurses, strengthening teamwork and organizational support can reduce burnout, whereas for intrinsically driven and fully identified nurses, providing more career development opportunities and recognition can further reduce the risk of burnout.

Limitations

The following limitations exist in this study. First, the survey population was limited to clinical nurses in three tertiary-level A hospitals in Jiangsu and Zhejiang Provinces, so the results may be geographically limited and lack broad representation. Second, the outcome indicators were obtained via self-reports, which may lead to some bias. Finally, this study had a cross-sectional design, and the causal relationship between nurses’ work values and burnout could not be directly inferred. Future studies should consider longitudinal studies with multiple geographic regions and large samples to gain a more comprehensive understanding of the dynamic changes in clinical nurses’ work value patterns and their associations with burnout and to provide a basis for developing targeted interventions.

Conclusion

This study used person-centered analysis to identify three work value patterns of Chinese nurses, namely, demand support, intrinsically driven, and overall identification, demonstrating significant heterogeneity. The findings also indicated that age, years of working experience, marital status, education level, and career establishment were the main predictors of different work value patterns. In addition, this study further revealed the potential impact of these work value patterns on nurse burnout, providing an important basis for understanding the relationship between different work values and burnout. Subsequent studies can further explore how to develop individualized intervention strategies based on different work value patterns to effectively alleviate nurses’ burnout and enhance their job satisfaction and career stability.

Acknowledgements

The authors sincerely appreciate all 505 Chinese registered nurses for their participation in our questionnaire survey.

Declarations

This study was approved by the ethics committee of Taizhou Hospital of Zhejiang Province (approval number: KL20231006), and all procedures were conducted in accordance with the Declaration of Helsinki. All the participants provided informed consent.
Not applicable.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
Nurses’ work value patterns and their relationship with burnout: a cross-sectional study based on latent profile analysis
verfasst von
Yuecong Wang
Xin Wang
Li Gao
Yuanhui Ge
Meng Xue
Yaling Ji
Publikationsdatum
01.12.2025
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2025
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-025-02806-6