Next Article in Journal
Scientometric Analysis of Entrepreneurial Orientation: Research Mapping and Opportunity Areas
Previous Article in Journal
A Systematic Literature Review on the Impact of Business Intelligence on Organization Agility
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter?

1
Department of Health Sciences, School of Psychology, University of Florence, Via di San Salvi 12–Padiglione 26, 50135 Florence, Italy
2
Interdisciplinary Department of Medicine, School of Medicine, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy
3
Dipartimento di “Scienze e Tecnologie per l’Uomo e l’Ambiente”, Università Campus Biomedico, Via Alvaro del Portillo, 21, 00128 Roma, Italy
4
Italian Association of Clinical Endocrinologists Scientific Committee, 20019 Milan, Italy
5
Department of Endocrinology ASST Grande Ospedale Metropolitano Niguarda, 20158 Milan, Italy
*
Author to whom correspondence should be addressed.
Adm. Sci. 2025, 15(7), 251; https://doi.org/10.3390/admsci15070251
Submission received: 19 March 2025 / Revised: 10 June 2025 / Accepted: 25 June 2025 / Published: 29 June 2025

Abstract

The impact of work engagement and burnout on medical activities, physicians’ performance, and quality of care has gained interest over the last decades. However, the effect of demographics, job-related, and organizational variables on burnout and work engagement in young endocrinologists has not been fully investigated. To assess the impact of demographics, job-related, and organizational variables on burnout and work engagement in young endocrinologists who joined the Italian Association of Clinical Endocrinologists. The levels of burnout and work engagement were assessed by the Maslach Burnout Inventory and the Utrecht Work Engagement Scale, respectively, as a part of an online survey of the “Associazione Medici Endocrinologi” addressed to young members (31–40 years). Eighteen MANOVAs were applied to analyze differences in burnout and work engagement based on demographic, job-related, and organizational factors. We collected responses from 160 young endocrinologists, mainly women (80.6%), aged 31–35 years (33.8%) and 36–40 years (66.2%). Most were in a stable relationship with (40%) or without (45%) children. Most of them worked in hospitals or local healthcare districts (35.6%), as independent contractors (31.9%), or as Ph.D. students or residents (25.6%). Multivariate analyses found no statistically significant differences in burnout and work engagement due to demographics (gender, age, and partnership) and job-related variables (type of job and contract). On the other hand, organizational variables (levels of conflict amongst colleagues, more than expected time spent working, and no involvement in team-building activities) were associated with higher emotional exhaustion, lower dedication, and less vigor. The novelty of the study is that both burnout and work engagement can be affected by organizational variables in early-career Italian endocrinologists, highlighting the need for supporting the healthcare system to overcome this gap.

1. Introduction

Work engagement is the harnessing of organization members’ selves to their work roles; in engagement, people employ and express themselves physically, cognitively, and emotionally during role performances (Kahn, 1990). For Kahn (1990), the self and the work roles exist in a dynamic and negotiable relationship in which an individual pushes energies into carrying out behaviors in line with the work role and shows the self within the role (self-expression). Such commitment serves to realize the human spirit at work (May et al., 2004). Engaged workers (i.e., characterized by work engagement, WE) experience a sense of energetic and effective connection with work activities and consider themselves able to cope well with job demands (Schaufeli & Bakker, 2004a).
It should be considered that WE concerns a persistent and pervasive affective/cognitive state, not focused on a particular object, event, individual, or behavior (Schaufeli & Bakker, 2004a). A work environment that makes the worker feel at ease, for example, by enabling the person to perceive organizational support, is one of the critical factors for promoting WE (Qiaoqin et al., 2018; Wu & Lee, 2020). WE is a state of profound involvement and passion for specific job tasks, driven by intrinsic motivation and often resulting in a flow state. Schaufeli et al. (2002) defined WE as a positive and satisfying state of mind related to work characterized by vigor, dedication, and absorption. Vigor is characterized by high levels of mental energy and resilience while working, a willingness to invest effort in one’s work, and persistence even in the face of difficulties. Dedication refers to a strong involvement in work and a sense of meaning, enthusiasm, inspiration, pride, and challenge. Last, absorption is characterized by total concentration and being happily absorbed in work, where time passes so quickly that one has difficulty detaching oneself from work (Schaufeli & Bakker, 2004a).
At the opposite pole of WE, there is burnout (BO). BO is a psychological condition characterized by emotional exhaustion, depersonalization, and reduced personal achievement in response to chronic interpersonal stressors and work overload (Maslach & Jackson, 1981). Maslach and Leiter later modified the syndrome’s components into three factors: deterioration of commitment to work, deterioration of emotions associated with work, and maladaptation to work due to excessive demands (Leiter & Maslach, 1988). Unlike acute stress reactions, BO is a cumulative reaction to chronic stressors at work.
Since Kahn (1990) introduced the concept of engagement, researchers have found a significant and positive relationship between WE, life satisfaction (Shimazu et al., 2015), and performance at work (Bakker & Bal, 2010). Despite the high investment they dedicate to work, work-engaged people participate in social activities and have hobbies (Burke, 2000; Bakker et al., 2008), also managing to have moments to recover their energy (Van Beek et al., 2011). WE is also characterized by high job satisfaction and good mental and physical health (Seppälä et al., 2022). They also consider themselves satisfied with the tasks to be carried out and with the organization itself. WE is also associated with low absenteeism, greater job satisfaction, and a low frequency of turnover requests (Bailey et al., 2017).
The impact of BO on medical activities and physicians’ performance has gained interest over the last decades, including the Coronavirus disease 2019 (COVID-19) pandemic. The sudden health crisis due to the pandemic has led to a consequent work overload, the need for a relevant reorganization of structures to cope with the new challenge, concerns for one’s safety and that of others, and perceived susceptibility to COVID-19. All these stressful conditions could have had sufficient weight to influence BO levels toward either resilience or work impairment (Ortega et al., 2023; Cao et al., 2023). Our previous study on cohort of Italian endocrinologists (Loscalzo et al., 2021) found that BO and WE levels before and during the first wave of the COVID-19 pandemic were significantly affected by several variables, including age, gender, and demographics with the youngest colleagues, compared to mid- or late-career physicians, being more likely to experience higher emotional exhaustion and reduced professional accomplishment. Therefore, the study’s aim is to assess the leading factors influencing WE and BO levels in early-career endocrinologists from the same cohort of colleagues.

2. Literature Review and Work Hypotheses

Satisfaction at work and perceived performance are widely influenced by work regime, which also significantly affects relationships between colleagues and institutions. One study found that job satisfaction was higher among workers experiencing remote or alternating (remote and in-person) jobs than those with an in-person job alone (Pinheiro & Palma-Moreira, 2025).
One study revealed that the higher the conflict level between employees and clients, colleagues, or managers, the more the severity of BO (Danauskė et al., 2023).
Another survey-based study tested the level of anxiety and the leading factors associated with anxiety among students during the lockdown. The results of this survey showed that around 25% of students experienced apprehension with female (OR = 2.2, 95% CI: 1.8–2.7) and those having relatives hospitalized due to COVID-19 (OR = 3.3, 95% CI: 1.4–7.9) being significantly more likely to be at risk for anxiety (Bourion-Bédès et al., 2021).
Climate at work and organizational justice are also important determinants of BO severity among schoolteachers (Capone et al., 2019).
Loscalzo et al. (2021) published one of the first studies assessing the level of BO and WE in a cohort of Italian endocrinologists. More in detail, a survey was conducted with the members of the Italian Association of Clinical Endocrinologists (Associazione Medici Endocrinologi—AME) and found that women reported higher emotional exhaustion and reduced professional accomplishment than men. At the same time, the oldest physicians had lower levels of emotional exhaustion and depersonalization and higher professional accomplishment than the youngest. Overall, the pandemic did not affect BO severity after comparing the pre- with post-COVID, except for physicians directly involved in managing COVID-19 cases. Despite the findings, no specific data on young endocrinologists have been examined. So, as the level of BO arose as particularly high among the younger AME physicians and worsened during the first wave of the pandemic, the present study aimed to assess the leading determinants, including demographic, job-related, and organizational variables, of BO and WE levels among young AME members.
Data from the literature about the severity and the leading causes of BO and WE among early-career physicians are limited but suggest that this class of physicians could be at a significant risk of BO or humble WE because of job and financial conditions. Our hypotheses were therefore conceived to verify specific differences in the levels of BO and WE according to several independent variables, including job stability, salaries, and type of contracts, and career and financial satisfaction (Pinheiro & Palma-Moreira, 2025; Danauskė et al., 2023; Bourion-Bédès et al., 2021). On this basis, our work hypotheses can be represented by the following questions:
  • Is job insecurity (typically observed among early careers) associated with more severe BO level and less WE compared to job stability (typically observed for middle-to-late careers)?
  • Could low salaries (typically observed among early careers), compared to higher (typically observed among middle-to-late careers) incomes, negatively affect BO level and WE?
  • Are more prestigious careers and financial satisfaction (typically observed among middle-to-late careers) associated with lower BO levels and higher WE compared to less career satisfaction (typically observed among early careers)?
Moreover, we analyzed other independent variables not yet addressed by the literature, including being actively involved in team-building activities, and two hypotheses were also formulated to address the following:
  • If BO levels are negatively affected by organizational variables;
  • If WE is deteriorated by organizational variables.

3. Methods

3.1. Selection of the Study Population

We defined young members as those endocrinologists aged 31 to 40 who had joined the AME at the time of the study. This age group was selected because, at the time of the survey (i.e., 2020), it well representated a sample of the Italian population of early-career endocrinologists.

3.2. Materials

3.2.1. Maslach Burnout Inventory (MBI)

The MBI is a 22-item self-report scale to evaluate BO severity in three specific dimensions: emotional exhaustion (9 items), depersonalization (5 items), and professional accomplishment (8 items). The response format is a 7-point Likert scale ranging from 0 (Never) to 6 (Every Day). We administered the Italian version of the questionnaire by Sirigatti, Stefanile, and Menoni (Sirigatti et al., 1988), allowing us to distinguish between high, average, and low levels of BO (Sirigatti & Stefanile, 1992).

3.2.2. Utrecht Work Engagement Scale (UWES)

The UWES (Schaufeli & Bakker, 2004b) is a 17-item self-report scale to evaluate the WE in three specific components: vigor (6 items), dedication (5 items), and absorption (6 items). The participants rate each item through a 7-point Likert scale ranging from 0 (Never) to 6 (Every day). We administered the Italian version of the UWES (Pisanti et al., 2008).

3.3. Procedures

We conducted a web-based survey with Lime Survey, an open access platform providing several question templates. All participants were invited by email to respond to questionnaires. Email addresses of all members were registered at the time of the AME subscription, and all members provided the privacy license to store basic information on the AME database, including email addresses, to be used for professional or research purposes.
An email service sent reminder messages to non-respondents weekly until the request automatically expired after three consecutive reminders.
The survey responses were gathered and electronically stored by the system, and participants had free access to their information masked with a password. The survey service automatically blocked repeated submissions from the same IP address.

3.4. Statistical Analysis

We conducted the analyses using the statistical software SPSS.28.0. More specifically, we performed 18 MANOVAs to analyze BO and WE differences about demographic variables (i.e., gender, age [31–35 vs. 36–40 years], civil partnership), job-related variables (i.e., type of work activity and type of contract), and organizational variables (i.e., levels of conflict in the organization, respect of the working hours foreseen by the contract, money earning congruent with the working demands, and presence of team-building activities). Through one sample t-test, we analyzed if the present sample of endocrinologists gathered after the end of the first wave of the COVID-19 pandemic differs in BO levels compared to doctors (mainly endocrinologists) who filled the MBI before the COVID-19 outbreak and during the COVID-19 pandemic (Loscalzo et al., 2021). Since our analyses foresee 54 follow-up ANOVAs on the same sample, we adjusted the alpha level to 0.001, using the Bonferroni correction for multiple comparisons (S. Y. Chen et al., 2017). For all the MANOVAs, when the independent variables involved more than two groups, a Bonferroni post hoc test was performed.

4. Results

4.1. Participants

We collected responses from 160 young endocrinologists (mainly women, 80.6%) between 31 and 40 years (31–35 years, 33.8%; 36–40 years, 66.2%). Respondents were mostly from Lazio (18.8%), Lombardy (15.6%), Emilia-Romagna (11.3%), Sicily (8.1%), and Sardinia (5.6%). Most respondents were in a stable relationship with (40%) or without (45%) children, while only a minority of respondents were single (15%).
Some respondents were working in public healthcare services, including hospitals and local healthcare districts (35.6%), and some others were working as independent contractors (31.9%) or were engaged as Ph.D. students or residents (25.6%). There were also a few endocrinologists working in private clinics (2.5%) and seven endocrinologists involved in other types of professions. Regarding the kind of contract, 26.9% had a permanent contract, 10% had a fixed-term contract, 25.6% were on studentship, 17.5% were working in public or private clinics, and 16.3% were on private practice (16.3%) or other types of contracts (e.g., agreement with the National Healthcare System, 3.8%). As indicated in Table 1, most participants had moderate-to-high risk BO estimated with the Maslach Burnout Inventory (May et al., 2004).

4.2. Burnout and Work Engagement Differences on Demographic Variables

We conducted three MANOVAs with the three MBI scales: emotional exhaustion, depersonalization, and professional accomplishment. The other three MANOVAs were conducted using the three UWESs: vigor, dedication, and absorption. Tests were performed to verify differences in BO and WE related to gender, age, and civil partnership. In multivariate tests, gender was not statistically significant for BO [F(3,156) = 1.63, p = 0.185, partial η2 = 0.03], while it was statistically significant for WE [F(3,156) = 3.16, p = 0.026, partial η2 = 0.06]. However, follow-up ANOVAs did not reach the adjusted alpha levels for the three subscales.
We found similar results for age. The multivariate test was statistically significant for BO: F(3,125) = 2.92, p = 0.037, partial η2 = 0.07. However, follow-up ANOVAs did not reach statistical significance using the adjusted alpha value. Regarding WE, the multivariate test was not statistically significant for age: F(3,125) = 0.67, p = 0.575, partial η2 = 0.02.
Finally, the multivariate test for the effect of civil partnership on BO was statistically significant [F(6,310) = 2.28, p = 0.036, partial η2 = 0.04], but ANOVA results did not reach the adjusted alpha level for statistical significance. The multivariate test did not find a statistically significant effect of civil partnership on WE [F(6,310) = 1.19, p = 0.312, partial η2 = 0.02].

4.3. Burnout and Work Engagement Differences on Job-Related Variables

We also conducted two MANOVAs with the three MBI scales and two MANOVAs with the three UWESs as dependent variables to explore differences in BO and WE related to work activities and contracts. The results highlighted no statistically significant differences in BO and WE levels according to the two work-related variables. More precisely, we compared the group of endocrinologists who worked in private structures (n = 4) with those who practiced in public structures (n = 57), private practice (n = 51), and Ph.D. students or students attending a postgraduate residency (n = 41). The multivariate test was not statistically significant for both BO [F(6,296) = 1.83, p = 0.093, partial η2 = 0.04] and WE [F(6,296) = 0.34, p = 0.916, partial η2 = 0.01].
Regarding the type of contract, we considered the following groups: permanent contract (n = 43), scholarship (n = 41), independent contractors working in public or conventional clinics (n = 28), and any contract as being a private professional (n = 26). The multivariate test was not statistically significant for both BO [F(9,321.40) = 1.42, p = 0.176, partial η2 = 0.03] and WE [F(9,321.40) = 0.71, p = 0.697, partial η2 = 0.02].

4.4. Burnout and Work Engagement Differences on Organizational Variables

Finally, we conducted four MANOVAs with the MBI scales and four MANOVAs with the UWESs as dependent variables to explore differences in BO and WE levels related to the following organizational variables: levels of conflict experienced by the physicians concerning the working hours foreseen by contracts, fair earnings to working demands, and involvement in team-building activities.
Concerning the levels of conflict, we found a multivariate statistically significant effect on BO [F(6,310) = 4.68, p < 0.001, partial η2 = 0.08]. More precisely, follow-up ANOVAs showed a statistically significant difference in emotional exhaustion (Table 2). As highlighted by Bonferroni’s post hoc test, endocrinologists experiencing an excessive conflict level reported higher emotional exhaustion than those perceiving physiological (p < 0.001) or absent (p < 0.001) levels of conflict. In terms of WE, the multivariate test was statistically significant [F(6,310) = 3.51, p = 0.002, partial η2 = 0.06]. Nevertheless, follow-up ANOVA reached statistical significance for dedication only (Table 3). Bonferroni’s post hoc test highlighted that endocrinologists who reported excessive levels of conflict had lower dedication than those reporting physiological (p < 0.001) or absent (p < 0.001) levels of conflict. Hence, an excessive perceived organizational conflict was associated with greater emotional exhaustion and lower dedication. A physiological level compared to the absent level of conflict also led to higher emotional exhaustion.
Concerning the number of hours spent at work foreseen or not by contracts, the multivariate test was statistically significant for both BO [F(3,155) = 8.78, p < 0.001, partial η2 = 0.15] and WE [F(3,155) = 2.81, p = 0.041, partial η2 = 0.05]. However, follow-up ANOVAs reached statistical significance for BO only, specifically for emotional exhaustion and depersonalization (Table 2 and Table 3). In particular, the endocrinologists reporting that they sometimes worked more than expected had higher scores in emotional exhaustion and depersonalization than their colleagues who declared that their working hours aligned with those foreseen by contracts.
About fair earnings based on working demands, the multivariate test was statistically significant for both BO [F(3,156) = 7.48, p < 0.001, partial η2 = 0.13] and WE [F(3,156) = 4.36, p = 0.006, partial η2 = 0.08]. Follow-up ANOVAs reached statistical significance only for one BO variable, namely emotional exhaustion, as those who reported not receiving fair earnings have high emotional exhaustion compared to those receiving fair earnings (Table 2 and Table 3).
Concerning the involvement in team-building activities, the multivariate test was not statistically significant for BO [F(6,310) = 1.80, p = 0.098, partial η2 = 0.03], but statistically significant for WE [F(6,310) = 3.24, p = 0.004, partial η2 = 0.06]. Follow-up ANOVAs highlighted a statistically significant difference on the WE variable “vigor” (Table 2 and Table 3). More specifically, as shown by Bonferroni’s post hoc analyses, those who reported being often included in team-building activities had higher vigor than those excluded (p < 0.001) or who rarely participated in these activities (p = 0.003).

5. Discussion

BO affects people who practice helping and personal service professions due to the adequate reaction to excessive work-related stress (Favretto, 1994; Maslach & Leiter, 2017; Del Carmen et al., 2019). Since BO is an answer to persisting chronic interpersonal stressors at work, it tends to be stable over time (Khalafallah et al., 2020). BO can, therefore, be considered as work-related chronic stress induced by the relevant discrepancy between work demands and individual resources, as supported by the Job Demands–Resources model by Bakker and Demerouti (Bakker et al., 2023). BO is associated with an increased risk of errors during the management of patients (Li et al., 2023) and could be associated with potentially adverse outcomes (Tawfik et al., 2018).
The leading clinical manifestations of BO are chronic clinical manifestations, feelings of guilt, inadequacy, incompetence, and negligence. BO negatively influences the sense of empowerment and self-confidence in personal abilities (K. Y. Chen et al., 2013; Dong et al., 2023), thus becoming a risk factor for job failure, depressive mood, and suicide (Shanafelt et al., 2012; Lindeman et al., 1996; Kleinhendler-Lustig et al., 2023; Schernhammer & Colditz, 2004).
The present study found no differences in BO or WE levels due to some specific demographic variables. The finding aligned with another report on young medical students (Shrestha et al., 2021). Early-career endocrinologists did not show any difference in reacting to emotional and work overload, and BO and WE levels were similar in men and women. The result was in line with other studies (Kannampallil et al., 2020; Milch et al., 2021) but different from our previously published paper concerning BO in the whole cohort of AME members, where women experienced higher BO levels than men (Loscalzo et al., 2021). This point reflects socio-cultural issues, even in the physician cluster, where women, compared to men, usually spend more time in household and family care, resulting in possible physical and psychological overload affecting the overall wellbeing at work and fostering BO. However, data from the youngest cohort of Italian endocrinologists did not suffer from a gender-related dichotomy, probably indicating that the new generations follow different and more balanced social and household roles than in the past.
No statistically significant differences in BO and WE levels were reported regarding work assignments and contracts. Endocrinologists working in hospitals and private clinics, those engaged in private practice, residents, or Ph.D. students did not show any difference in the level of BO and WE. Although job satiation was substantially low among early and mid-careers compared to late careers due to uncertainty of contractors and future development of plans and projects, work overload, possible abuses (Perumalswami et al., 2020), and reactive mood disorders (depression, anxiety), it should be considered that work-related negative situations are probably not enough to affect the levels of WE and BO in a short period (months). The dichotomy can be explained by the fact that the recent past and current work dynamics are usually less friendly for a comfortable early-career job placement and do not facilitate the development of ambitious and long-term projects. Future studies are needed to clarify the impact of labor market dynamics, which drives early-career endocrinologists to adjust their professional perspective more frequently to achieve acceptable working conditions based on aspirations, capabilities, competence, work satisfaction, WE, and BO. On the other hand, our findings can be the result of a change in expectations of young endocrinologists compared to the late-career endocrinologists in the past due to cultural, economic, and political aspects.
Dealing with possible differences in BO and WE due to the organizational variables, we found that the conflict level perceived by colleagues influences BO, particularly emotional exhaustion, and WE. Endocrinologists reporting excessive levels of conflict in their organizations/institutions had higher emotional exhaustion and lower dedication than those experiencing a physiological or absent level of conflict. Moreover, a physiological level of conflict leads to higher emotional exhaustion compared to the perception of no conflicts in the workspace. Therefore, the feeling of being passionate about the work and the sense of enthusiasm, inspiration, satisfaction, and challenge can be compromised in those individuals. The literature indicates that physicians need degrees of choice, social connectedness, friendship, and opportunities to improve the quality and satisfaction of their profession, mitigate BO, and increase WE (Marck et al., 2024). Leadership and organization are crucial in reducing BO and promoting WE, considering that most interventions to achieve both aims are relatively inexpensive, and small investments can significantly impact physicians’ health (Swensen et al., 2016). Interventions to improve medical procedures, promote team-based care, and incorporate the use of medical assistants to complete documentation and electronic health registries attenuate BO, enhance physician resiliency, and quality of team care (Shanafelt & Noseworthy, 2017). An experience from an academic environment found similar results with trends showing an increasing prevalence of BO, especially exhaustion and cynicism, more in early- compared to mid- or late careers (DeChant et al., 2019).
To our knowledge, a few studies have been conducted on endocrinologists. In the Italian scenario, endocrinologists who sometimes work more than foreseen by their contracts have higher emotional exhaustion and depersonalization than colleagues who declare they work for hours in line with their contracts. Furthermore, endocrinologists who reported not receiving a fair income usually show a high level of emotional exhaustion, thus underlining the concept that improvement of professional performance passes across a better organization of work with better distribution of loads and tasks to avoid spending more time than expected by contracts and fair income. Lastly, the importance of being involved in team-building activities was confirmed by the fact that participating in team leadership was associated with higher WE, higher vigor, higher levels of energy, and mental consistency when working with stressors and overloads.
Overall, the results of this study highlighted that administrative and operational inconsistency, messy workspaces, lack of cooperation, and intolerance result inexorably in work uncertainty, overload, need to move to alternative placement and careers, and dissatisfaction with low WE and higher levels of BO. Early-career endocrinologists are prone to the effect of BO, with a specific issue that should be addressed shortly.

5.1. Theoretical Implications of the Study Results

The results of our study focused on the overall BO and WE levels among early-career endocrinologists joining the AME at the time of the survey. Our findings clearly indicated that organizational variables, with a specific emphasis on the levels of conflict among colleagues, the excessive time spent at work, and the lack of involvement in team-building activities, increase emotional exhaustion, reduce dedication at work, and impair vigor. Therefore, healthcare system organization is necessary to improve the quality of work, prevent BO, and avoid WE deterioration and related consequences.

5.2. Managerial Implications of the Study Results

Specific managerial implications can be inferred from our theoretical implications. First, a working environment should be organized to satisfy individual needs, ambitions, and goals and eliminate job insecurity and competition, thereby enhancing a professional’s self-confidence and engagement. Second, supervising team building and fostering healthy working relationships are key elements that support and refine individual and collective initiatives, reinforce strategies for achieving common goals, and stimulate analyses and research, thereby minimizing the risk of potential conflicts among colleagues. Team-building activities, regular meetings and brainstorming, and continuative formation are also essential to improve the communication, education, and encountering activities between professionals, which, in turn, are expected to ameliorate the work quality, enhance the collaboration between colleagues, optimize time spent on practical work, reduce time spent in useless activates, and attenuate emotional exhaustion while boosting vigor and dedication at work, resulting in less time spent in the workspace and lower work overload.

5.3. Strengths, Limitations, and Future Directions

The study has some strengths and limitations that need to be mentioned. The strength is in the study design, which was initially intended to estimate the BO and WE levels among all professionals, primarily physicians, who joined the AME at the time of the observation. Then, the study protocol was refined to reassess the BO and WE levels during and after the first wave of the COVID-19 pandemic. So, it is one of the first papers to consider a pre- to post-COVID comparison of BO and WE assessment. The second strength point is the methodology used to estimate BO and WE, which employs approved elementary scales widely used in clinical practice. The main limitation is the generalizability of our results, which refer to a specific time point. Novel data are also needed to reevaluate BO and WE levels years later the COVID-19 outbreak. Engaged and motivated professionals are key factors in a healthy healthcare system, with the goal of enhancing the quality of care for both citizens and healthcare providers. Despite the limited generalizability of the results, which mainly referred to the COVID-19 breakdown, so it is required new and specific evaluation of BO and WE levels among clinicians and researchers in the fields of Endocrinology, Internal Medicine, and affine, there is a flawless need to ameliorate the quality of healthcare organization from a managerial viewpoint, establish objective methods of evaluation of work quality and frequent reorganization to cope with the risk of work overload, improve the collaboration among colleagues, educate continuously human resources, and invest on quality from a clinical and research viewpoint.

6. Conclusions

Healthcare system organization is necessary to improve the quality of work, prevent BO, and avoid WE deterioration and related consequences. There is a real need to implement essential reforms and economic efforts to build engaged professionals. The key elements for relevant improvements include improving the working environment to satisfy individual needs, ambitions, and goals. Deleting job insecurity and competition will be another key point to ameliorate a professional’s self-confidence and engagement. Supervising team building and fostering healthy working relationships is another element that supports and refines individual and collective initiative, reinforces the way to obtain common goals, and stimulates analysis and research.

Author Contributions

Conceptualization, Y.L. and M.G.; methodology, Y.L., R.A., V.T., G.L. and S.M.; software, Y.L.; validation, V.T., M.G. and R.C.; formal analysis, Y.L.; investigation, R.A., S.M., V.T. and G.L.; resources, G.L.; data curation, Y.L.; writing—original draft preparation, Y.L., G.L., V.T., S.M. and M.G.; writing—review and editing, all authors; visualization, all authors; supervision, R.C., R.A., V.T. and M.G.; project administration, M.G. and V.T.; funding acquisition, none. All authors have read and agreed to the published version of the manuscript.

Funding

The research was conducted without funding.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to the survey being approved by the Board of Directors of the Italian Association of Clinical Endocrinologists (AME), Italy (Reference Number: 19/20).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are avalibale on reasonable request from the first or corresponding authors.

Conflicts of Interest

The authors declare no conflict of interest.

List of Abbreviations

AMEAssociazione Medici Endocrinologi
BOBurnout
COVID-19Coronavirus Disease 2019
MBIMaslach Burnout Inventory
UWESUtrecht Work Engagement Scale
WEWork Engagement

References

  1. Bailey, C., Madden, A., Alfes, K., & Fletcher, L. (2017). The meaning, antecedents and outcomes of employee engagement: A narrative synthesis. International Journal of Management Reviews, 19(1), 31–53. [Google Scholar] [CrossRef]
  2. Bakker, A. B., & Bal, P. M. (2010). Weekly work engagement and performance: A study among starting teachers. Journal of Occupational and Organizational Psychology, 83(1), 189–206. [Google Scholar] [CrossRef]
  3. Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job demands–resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10, 25–53. [Google Scholar] [CrossRef]
  4. Bakker, A. B., Shaufeli, W. B., Leiter, M. P., & Taris, M. P. (2008). Work engagement: An emerging concept in occupational health psychology. Work & Stress, 22, 187–200. [Google Scholar]
  5. Bourion-Bédès, S., Tarquinio, C., Batt, M., Tarquinio, P., Lebreuilly, R., Sorsana, C., Legrand, K., Rousseau, H., & Baumann, C. (2021). Psychological impact of the COVID-19 outbreak on students in a French region severely affected by the disease: Results of the PIMS-CoV 19 study. Psychiatry Research, 295, 113559. [Google Scholar] [CrossRef]
  6. Burke, R. J. (2000). Workaholism in organizations: Concepts, results and future research directions. International Journal of Management Reviews, 2(1), 1–16. [Google Scholar] [CrossRef]
  7. Cao, J., Liu, J., & Wong, J. W. C. (2023). JD-R model on job insecurity and the moderating effect of COVID-19 perceived susceptibility. Current Psychology, 20, 1–15. [Google Scholar] [CrossRef]
  8. Capone, V., Joshanloo, M., & Park, M. S. A. (2019). Burnout, depression, efficacy beliefs, and work-related variables among school teachers. International Journal of Educational Research, 95, 97–108. [Google Scholar] [CrossRef]
  9. Chen, K. Y., Yang, C. M., Lien, C. H., Chiou, H. Y., Lin, M. R., Chang, H. R., & Chiu, W. T. (2013). Burnout, job satisfaction, and medical malpractice among physicians. International Journal of Medical Sciences, 10(11), 1471–1478. [Google Scholar] [CrossRef]
  10. Chen, S. Y., Feng, Z., & Yi, X. (2017). A general introduction to adjustment for multiple comparisons. Journal of Thoracic Disease, 9(6), 1725–1729. [Google Scholar] [CrossRef]
  11. Danauskė, E., Raišienė, A. G., & Korsakienė, R. (2023). Coping with burnout? Measuring the links between workplace conflicts, work-related stress, and burnout. Business: Theory and Practice, 24(1), 58–69. [Google Scholar] [CrossRef]
  12. DeChant, P. F., Acs, A., Rhee, K. B., Boulanger, T. S., Snowdon, J. L., Tutty, M. A., Sinsky, C. A., & Thomas Craig, K. J. (2019). Effect of organization-directed workplace interventions on physician burnout: A systematic review. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 3(4), 384–408. [Google Scholar] [CrossRef]
  13. Del Carmen, M. G., Herman, J., Rao, S., Hidrue, M. K., Ting, D., Lehrhoff, S. R., Lenz, S., Heffernan, J., & Ferris, T. G. (2019). Trends and factors associated with physician burnout at a multispecialty academic faculty practice organization. JAMA Network Open, 2(3), e190554. [Google Scholar] [CrossRef]
  14. Dong, M., Xiao, Y., Shi, C., & Li, G. (2023). Measuring and improving performance of clinicians: An application of patient-based records. BMC Health Services Research, 23(1), 775. [Google Scholar] [CrossRef]
  15. Favretto, G. (1994). Lo stress nelle organizzazioni. Il Mulino, Aspetti di Psicologia. [Google Scholar]
  16. Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. The Academy of Management Journal, 33(4), 692–724. [Google Scholar] [CrossRef]
  17. Kannampallil, T. G., Goss, C. W., Evanoff, B. A., Strickland, J. R., McAlister, R. P., & Duncan, J. (2020). Exposure to COVID-19 patients increases physician trainee stress and burnout. PLoS ONE, 15(8), e0237301. [Google Scholar] [CrossRef]
  18. Khalafallah, A. M., Lam, S., Gami, A., Dornbos, D. L., 3rd, Sivakumar, W., Johnson, J. N., & Mukherjee, D. (2020). Burnout and career satisfaction among attending neurosurgeons during the COVID-19 pandemic. Clinical Neurology and Neurosurgery, 198, 106193. [Google Scholar] [CrossRef]
  19. Kleinhendler-Lustig, D., Hamdan, S., Mendlovic, J., & Gvion, Y. (2023). Burnout, depression, and suicidal ideation among physicians before and during COVID-19 and the contribution of perfectionism to physicians’ suicidal risk. Frontiers in Psychiatry, 14, 1211180. [Google Scholar] [CrossRef] [PubMed]
  20. Leiter, M. P., & Maslach, C. (1988). The impact of interpersonal environment on burnout and organizational commitment. Journal of Organizational Behavior, 9, 297–308. [Google Scholar] [CrossRef]
  21. Li, C. J., Shah, Y. B., Harness, E. D., Goldberg, Z. N., & Nash, D. B. (2023). Physician burnout and medical errors: Exploring the relationship, cost, and solutions. American Journal of Medical Quality, 38(4), 196–202. [Google Scholar] [CrossRef]
  22. Lindeman, S., Laara, E., Hakko, H., & Lonnqvist, J. (1996). A systematic review on gender-specific suicide mortality in medical doctors. The British Journal of Psychiatry, 168(3), 274–279. [Google Scholar] [CrossRef] [PubMed]
  23. Loscalzo, Y., Marucci, S., Garofalo, P., Attanasio, R., Lisco, G., De Geronimo, V., Guastamacchia, E., Giannini, M., & Triggiani, V. (2021). Assessment of burnout Levels before and during COVID-19 Pandemic: A web-based survey by the (Italian) association of medical endocrinologists (AME). Endocrine, Metabolic & Immune Disorders–Drug Targets, 21(12), 2238–2252. [Google Scholar] [CrossRef]
  24. Marck, C. H., Ayton, D., Steward, T., Koay, H. F., Wiley, J. F., Taiaroa, G., Walton, C. C., Weld-Blundell, I., Greaves, M. D., & Singh, A. (2024). The workplace culture, mental health and wellbeing of early- and mid-career health academics: A cross-sectional analysis. BMC Public Health, 24(1), 1122. [Google Scholar] [CrossRef] [PubMed]
  25. Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout Inventory. Journal of Organizational Behavior, 2, 99–113. [Google Scholar] [CrossRef]
  26. Maslach, C., & Leiter, M. P. (2017). Understanding burnout: New models. In C. L. Cooper, & J. C. Quick (Eds.), The handbook of stress and health: A guide to research and practice (pp. 36–56). Wiley Blackwell. [Google Scholar] [CrossRef]
  27. May, D., Gilson, R., & Harter, L. (2004). The psychological conditions of meaningfulness, safety and availability and the engagement of the human spirit at work. Journal of Occupational and Organizational Psychology, 77(1), 11–37. [Google Scholar] [CrossRef]
  28. Milch, H. S., Grimm, L. J., Plimpton, S. R., Tran, K., Markovic, D., Dontchos, B. N., Destounis, S., Dialani, V., Dogan, B. E., Sonnenblick, E. B., Zuley, M. L., & Dodelzon, K. (2021). COVID-19 and breast radiologist wellness: Impact of gender, financial loss, and childcare need. Journal of the American College of Radiology, 18(7), 1017–1026. [Google Scholar] [CrossRef]
  29. Ortega, M. V., Hidrue, M. K., Lehrhoff, S. R., Ellis, D. B., Sisodia, R. C., Curry, W. T., Del Carmen, M. G., & Wasfy, J. H. (2023). Patterns in physician burnout in a stable-linked cohort. JAMA Network Open, 6(10), e2336745. [Google Scholar] [CrossRef]
  30. Perumalswami, C. R., Takenoshita, S., Tanabe, A., Kanda, R., Hiraike, H., Okinaga, H., Jagsi, R., & Nomura, K. (2020). Workplace resources, mentorship, and burnout in early career physician-scientists: A cross sectional study in Japan. BMC Medical Education, 20(1), 178. [Google Scholar] [CrossRef]
  31. Pinheiro, A., & Palma-Moreira, A. (2025). Job satisfaction, perceived performance and work regime: What is the relationship between these variables? Administrative Sciences, 15(5), 175. [Google Scholar] [CrossRef]
  32. Pisanti, R., Paplomatas, A., & Bertini, M. (2008). Misurare le dimensioni positive nel lavoro in sanità: Un contributo all’adattamento italiano della UWES—Utrecht Work Engagement Scale. Giornale Italiano di Medicina del Lavoro ed Ergonomia, 30(1), A111–A119. [Google Scholar]
  33. Qiaoqin, W. Q., Li, Z., Zhou, W., & Shang, S. (2018). Effects of work environment and job characteristics on the turnover intention of experienced nurses: The mediating role of work engagement. Journal of Advanced Nursing, 74(1), 13528. [Google Scholar] [CrossRef]
  34. Schaufeli, W. B., & Bakker, A. B. (2004a). Test manual for the utrecht work engagement scale. Utrecht University, The Netherlands. Educational and Psychological Measurement, 66(4), 701–716. [Google Scholar] [CrossRef]
  35. Schaufeli, W. B., & Bakker, A. B. (2004b). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. [Google Scholar] [CrossRef]
  36. Schaufeli, W. B., Salanova, M., Gonzalez-Roma, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A confirmative analytic approach. Journal of Happiness Studies, 3, 71–92. [Google Scholar] [CrossRef]
  37. Schernhammer, E. S., & Colditz, G. A. (2004). Suicide rates among physicians: A quantitative and gender assessment (meta-analysis). American Journal of Psychiatry, 161(12), 2295–2302. [Google Scholar] [CrossRef]
  38. Seppälä, P., Mauno, S., Kinnunen, M. L., Feldt, T., Juuti, T., Tolvanen, A., & Rusko, H. (2022). Is work engagement related to healthy cardiac autonomic activity? Evidence from a field study among Finnish women workers. The Journal of Positive Psychology, 7, 95–106. [Google Scholar] [CrossRef]
  39. Shanafelt, T. D., Boone, S., Tan, L., Dyrbye, L. N., Sotile, W., Satele, D., West, C. P., Sloan, J., & Oreskovich, M. R. (2012). Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Archives of Internal Medicine, 172(18), 1377–1385. [Google Scholar] [CrossRef]
  40. Shanafelt, T. D., & Noseworthy, J. H. (2017). Executive leadership and physician wellbeing: Nine organizational strategies to promote engagement and reduce burnout. Mayo Clinic Proceedings, 92(1), 129–146. [Google Scholar] [CrossRef]
  41. Shimazu, A., Schaufeli, W. B., Kamiyama, K., & Kawakami, N. (2015). Workaholism vs. work engagement: The two different predictors of future wellbeing and performance. International Journal of Behavioral Medicine, 22(1), 18–23. [Google Scholar] [CrossRef]
  42. Shrestha, D. B., Katuwal, N., Tamang, A., Paudel, A., Gautam, A., Sharma, M., Bhusal, U., & Budhathoki, P. (2021). Burnout among medical students of a medical college in Kathmandu; A cross-sectional study. PLoS ONE, 16(6), e0253808. [Google Scholar] [CrossRef]
  43. Sirigatti, S., & Stefanile, C. (1992). Aspetti e problemi dell’adattamento italiano del MBI. Bollettino di Psicologia Applicata, 202–203, 3–12. [Google Scholar]
  44. Sirigatti, S., Stefanile, C., & Menoni, E. (1988). Per un adattamento italiano del Maslach Burnout Inventory (MBI). Bollettino di Psicologia Applicata, 187–188, 33–39. [Google Scholar]
  45. Swensen, S., Kabcenell, A., & Shanafelt, T. (2016). Physician-organization collaboration reduces physician burnout and promotes engagement: The mayo clinic experience. Journal of Healthcare Management, 61(2), 105–127. [Google Scholar] [CrossRef] [PubMed]
  46. Tawfik, D. S., Profit, J., Morgenthaler, T. I., Satele, D. V., Sinsky, C. A., Dyrbye, L. N., Tutty, M. A., West, C. P., & Shanafelt, T. D. (2018). Physician burnout, wellbeing, and work unit safety grades in relationship to reported medical errors. Mayo Clinic Proceedings, 93(11), 1571–1580. [Google Scholar] [CrossRef]
  47. Van Beek, I., Taris, T. W., & Schaufeli, W. B. (2011). Workaholic and work engaged employees: Dead ringers or worlds apart? Journal of Occupational Health Pschology, 16(4), 468. [Google Scholar] [CrossRef]
  48. Wu, W. L., & Lee, Y. C. (2020). Do work engagement and transformational leadership facilitate knowledge sharing? A perspective of conservation of resources theory. International Journal of Environmental Research and Public Health, 17(7), 2615. [Google Scholar] [CrossRef]
Table 1. Participants’ risk of burnout according to the Maslach Burnout Inventory (MBI).
Table 1. Participants’ risk of burnout according to the Maslach Burnout Inventory (MBI).
MBI ScaleLevel of Riskn%
Emotional ExhaustionMild5232.5
Moderate4830.0
Severe6037.5
DepersonalizationMild6741.9
Moderate4830.0
Severe4528.1
Personal RealizationMild6842.5
Moderate4528.1
Severe4729.4
Notes: the level of risk has been defined according to the Sirigatti and Stefanile’s (1992) cut-off scores.
Table 2. Descriptive statistics and ANOVA results for burnout by organizational variables.
Table 2. Descriptive statistics and ANOVA results for burnout by organizational variables.
Burnout VariableOrganizational Variable GroupnM(SD)FdfpPartial η2
Em.Exhau.Conflict levelsAbsent2116.48 ± 8.3314.242157<0.0010.15
Physiological10323.87 ± 11.69
Excessive3632.67 ± 12.47
Total16024.88 ± 12.43
Depers. Absent214.71 ± 3.486.7521570.002 #0.08
Physiological1038.14 ± 6.54
Excessive3611.08 ± 7.17
Total 1608.35 ± 6.62
Prof.Acc. Absent2138.81 ± 3.673.542157.031 #0.04
Physiological10337.43 ± 6.49
Excessive3634.56 ± 7.82
Total16036.96 ± 6.64
Em.Exhau.Hours respectedYes4617.72 ± 11.1528.861157<0.0010.14
No11327.96 ± 11.65
Total15924.99 ± 12.38
Depers. Yes465.35 ± 4.7414.521157<0.0010.08
No1139.59 ± 6.92
Total1598.36 ± 6.64
Prof.Acc. Yes4638.85 ± 6.125.2911570.023 #0.03
No11336.20 ± 6.75
Total15936.97 ± 6.66
Em.Exhau.Fair salaryYes8029.16 ± 11.6921.431158<0.0010.12
No8020.60 ± 11.70
Total16024.88 ± 12.43
Depers. Yes809.61 ± 6.866.0111580.015 #0.04
No807.09 ± 6.16
Total1608.35 ± 6.62
Prof.Acc. Yes8036.32 ± 7.061.4811580.2260.01
No8037.60 ± 6.17
Total16036.96 ± 6.64
Em.Exhau.Team buildingNever6726.82 ± 13.283.3921570.036 °0.04
Rarely6725.04 ± 11.27
Often2619.46 ± 11.86
Total16024.88 ± 12.43
Depers. Never678.95 ± 7.162.1521570.1200.03
Rarely678.69 ± 6.29
Often265.92 ± 5.60
Total1608.35 ± 6.62
Prof.Acc. Never6736.33 ± 6.874.0921570.019 °0.05
Rarely6736.30 ± 6.75
Often2640.31 ± 4.67
Total16036.96 ± 6.64
Note: Em.Exhau. = Emotional Exhaustion; Depers. = Depersonalization; Prof.Acc. = Professional Accomplishment; # = not statistically significant according to the adjusted alpha level for multiple comparisons; ° = not statistically significant according to the adjusted alpha, plus MANOVA not statistically significant.
Table 3. Descriptive statistics and ANOVA results for work engagement by organizational variables.
Table 3. Descriptive statistics and ANOVA results for work engagement by organizational variables.
Work Engagement VariableOrganizational Variable GroupnM (SD)FdfpPartial η2
VigorLevels of conflictAbsent2124.24 ± 4.776.3621570.002 #0.08
Physiological10323.59 ± 5.37
Excessive3619.93 ± 6.74
Total16022.85 ± 5.82
Dedication Absent2123.24 ± 4.249.692157<0.0010.11
Physiological10321.34 ± 6.03
Excessive3616.81 ± 7.11
Total 16020.57 ± 6.42
Absorption Absent2124.71 ± 4.501.2721570.2840.02
Physiological10324.63 ± 5.42
Excessive3623.01 ± 5.88
Total16024.28 ± 5.42
VigorHours respectedYes4624.48 ± 4.995.2811570.023 #0.14
No11322.16 ± 6.04
Total15922.83 ± 5.84
Dedication Yes4621.91 ± 6.562.7611570.0990.08
No11320.05 ± 6.34
Total15920.59 ± 6.43
Absorption Yes4624.28 ± 5.850.00111570.9740.03
No11324.31 ± 5.28
Total15924.30 ± 5.43
VigorFair salaryYes8021.76 ± 6.615.8511580.017 #0.04
No8023.95 ± 4.71
Total16022.85 ± 5.82
Dedication Yes8019.82 ± 6.662.1611580.1430.01
No8021.31 ± 6.13
Total16020.57 ± 6.42
Absorption Yes8024.57 ± 5.240.4611580.5000.003
No8023.99 ± 5.62
Total16024.28 ± 5.42
VigorTeam buildingNever6721.60 ± 5.878.492157<0.0010.10
Rarely6722.56 ± 5.60
Often2626.85 ± 4.57
Total16022.85 ± 5.82
Dedication Never6719.36 ± 6.676.6921570.002 #0.08
Rarely6720.24 ± 6.04
Often2624.54 ± 5.30
Total16020.57 ± 6.42
Absorption Never6723.22 ± 5.186.7021570.002 #0.08
Rarely6724.04 ± 5.56
Often2627.61 ± 4.45
Total16024.28 ± 5.42
Note: # = not statistically significant according to the adjusted alpha level for multiple comparisons.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Loscalzo, Y.; Lisco, G.; Marucci, S.; Attanasio, R.; Cozzi, R.; Giannini, M.; Triggiani, V. Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter? Adm. Sci. 2025, 15, 251. https://doi.org/10.3390/admsci15070251

AMA Style

Loscalzo Y, Lisco G, Marucci S, Attanasio R, Cozzi R, Giannini M, Triggiani V. Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter? Administrative Sciences. 2025; 15(7):251. https://doi.org/10.3390/admsci15070251

Chicago/Turabian Style

Loscalzo, Yura, Giuseppe Lisco, Simonetta Marucci, Roberto Attanasio, Renato Cozzi, Marco Giannini, and Vincenzo Triggiani. 2025. "Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter?" Administrative Sciences 15, no. 7: 251. https://doi.org/10.3390/admsci15070251

APA Style

Loscalzo, Y., Lisco, G., Marucci, S., Attanasio, R., Cozzi, R., Giannini, M., & Triggiani, V. (2025). Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter? Administrative Sciences, 15(7), 251. https://doi.org/10.3390/admsci15070251

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop