Mediating Role of Resilience in the Relationships Between Objective Physical Activity With Depression and Stress Among Nurses in Türkiye

Article information

Psychiatry Investig. 2025;22(3):311-319
Publication date (electronic) : 2025 March 18
doi : https://doi.org/10.30773/pi.2024.0245
Physical Education and Sports School, Bitlis Eren University, Bitlis, Türkiye
Correspondence: Mehmet Ali Öztürk, PhD Physical Education and Sports School, Bitlis Eren University, Bitlis 13100, Türkiye Tel: +90-544-514-4148, E-mail: maliozturk2002@yahoo.com
Received 2024 August 2; Revised 2024 December 7; Accepted 2025 January 9.

Abstract

Objective

Nurses belong to a professional cohort that frequently experiences depression and stress. The objective of this research was to examine the correlation between objective physical activity (PA) with depression and stress among nurses, with a specific focus on the mediating role of resilience.

Methods

This study employed the descriptive-correlation method. One-hundred twenty-seven nurses (76 women) working in hospitals in Bitlis province, Türkiye in 2023 were selected using a convenience sampling. To measure PA, depression, stress, and resilience, ActiGraph GT3X-BT accelerometer, Beck Depression Inventory, Perceived Stress Scale, and Connor-Davidson Resilience Scale were utilized, respectively. Data analysis was conducted using Pearson correlation test and structural equation modeling.

Results

Nurses, particularly women, experienced a moderate level of depression and stress. Moreover, the number of step counts was significantly higher in day vs. night shift. Overall, the nurses in this study, especially women, engaged in PA levels that were significantly below the international guidelines for adults (p<0.001). Additionally, higher intensity levels of PA (i.e., moderate PA [MPA] and vigorous PA [VPA]) were found to be linked with reduced levels of depression (β=-0.528, β=-0.410, respectively) and stress (β=-0.605, β=-0.531, respectively). Lastly, resilience was identified as a significant mediator in the correlation between MPA and VPA with depression and stress (p<0.05).

Conclusion

These findings hold great significance as they demonstrate the positive impact of both resilience and PA on the mental well-being of nurses. It is advisable for healthcare authorities to formulate policies and strategies aimed at enhancing the overall stability and performance of the healthcare sector.

INTRODUCTION

Nurses have a vital function within the healthcare system, being the largest human resource in the care team [1]. They face various challenges in their work environment, such as work-related stress, fatigue, difficult relationships, occupational hazards, heavy workload, job satisfaction, and stressful conditions [1,2]. These factors can negatively impact their professional performance and lead to stress-related illnesses, burnout, and even leaving their jobs, ultimately affecting their quality of life [3,4]. Moreover, working in stressful environments can result in high turnover rates, imposing significant costs on the healthcare system [5]. Prioritizing the physical and mental health of nurses is crucial, as it has a direct correlation with the quality of patient care. This is especially evident during global health emergencies, such as the COVID-19 pandemic, where nurses face significant challenges. Therefore, it is imperative to provide comprehensive support to nurses in every facet of their lives [6,7].

It has been demonstrated that nurses belong to a professional cohort that frequently experiences depression and stress [2,3,5]. Furthermore, there is substantial evidence indicating that nurses encounter significant levels of stress and pressure within their work settings, which can have a detrimental impact on their emotional well-being, potentially leading to depression [4-6]. Research conducted in China involving 52,592 participants revealed that 43.83% of nurses exhibited depressive symptoms [2]. Depression and stress have detrimental effects not only on the well-being of nurses but also on the workforce and the quality of healthcare [8-10]. These effects include attrition from the workforce, an increase in medical errors, and a decrease in patient satisfaction. The adverse impact of psychological distress on the health and productivity of nurses necessitates a thorough investigation into potential solutions and strategies aimed at enhancing their mental well-being, particularly concerning issues such as depression and stress. Engagement in physical activity (PA) is one of the factors that may help alleviate depression and stress, thereby enhancing individuals’ mental well-being.

Engaging in PA is a strategy that individuals employ to promote mental health [11,12]. PA not only benefits physical health but also plays a significant role in enhancing mental well-being [11,13]. Furthermore, it fosters the development of talents and contributes to the improvement of self-confidence, self-esteem, social acceptance, and social compatibility [14]. Ultimately, participating in PA enables individuals to overcome various physical, mental, and psychological challenges within work settings [13,15,16]. The various advantages associated with engaging in PA for both physical and mental health, as previously noted, suggest that incorporating PA can serve as a viable approach to enhancing the psychological well-being of nurses, particularly in relation to issues such as depression and stress. In addition, the World Health Organization (WHO) advises adults to participate in 150 minutes of moderate PA (MPA) per week, 75 minutes of vigorous PA (VPA) activity per week, a combination of both, or achieve 10,000 steps per day [17]. Nurses frequently find themselves walking or standing due to the demands of their job, although this can vary depending on their shift schedule [18]. Research indicates that despite the active nature of the nursing work environment, nurses engage in minimal PA outside of work and fail to meet the WHO’s recommended guidelines for health-oriented PA (i.e., moderate-to-vigorous PA) [19-22]. This lack of PA contributes to the high prevalence of obesity and overweight among nurses [23,24]. Given the known benefits of participating in health-oriented PA on mental health [11,12,14], this study aimed to investigate whether PA could impact depression and stress levels, which are crucial indicators of mental health, in nurses.

Moreover, resilience is an essential element that can affect the mental wellness of a person [25]. Resilience is considered one of the most vital abilities possessed by humans, as it enables them to effectively adapt to stressors and psychological pressures in challenging circumstances [26,27]. The concept of resilience refers to the process, ability, or consequence of effectively adjusting to threatening environmental conditions, playing a significant role in coping with life-threatening situations [27]. Resilient individuals exhibit heightened self-confidence and competence when confronted with unpredictable and stressful conditions [25]. Research has demonstrated that people who possess strong resilience are more inclined to preserve their mental well-being and experience greater psychological adjustment during stressful and unfortunate situations [27-30]. Moreover, studies have shown that enhancing resilience not only improves mental health but also enhances job satisfaction [31]. In the healthcare field, resilience among personnel leads to increased flexibility, resulting in better patient care and self-care practices [26-28]. As previously discussed, resilience has beneficial impacts on various psychological aspects. Additionally, it plays a significant role in enhancing the capacity to endure the challenges associated with the nursing profession, which is particularly demanding. Therefore, it is reasonable to regard resilience as a crucial factor in promoting the psychological well-being of nurses, particularly in relation to issues such as depression and stress. In addition, the significant demand for nurses has underscored the necessity of cultivating a strong and adaptable workforce. Consequently, it is plausible to suggest that the mental health of nurses may be affected by their resilience. Within this study, resilience is regarded as a mediator in the correlation between PA with depression and stress in nurses. Consequently, the second objective of this research was to examine the mediating function of resilience in the correlation between PA with depression and stress among nurses.

Given the challenging working conditions faced by nurses, which can lead to mental health issues such as depression and stress, it is essential to prioritize their physical and mental well-being. Comprehensive support for nurses in all aspects of their lives is crucial. This situation calls for an in-depth exploration of potential solutions and strategies aimed at improving their mental health, particularly in relation to depression and stress. Furthermore, considering the numerous benefits of PA for both physical and mental health, along with the positive effects of resilience on various psychological dimensions and work performance, this study aims to examine the structural relationships between PA and resilience in relation to depression and stress among nurses. In total, the aim of current research was to explore the correlation between PA with depression and stress among nurses, with a focus on the mediating role of resilience. The practical purpose of this research was to clarify the connections among PA, resilience, and mental well-being in the nursing profession. By evaluating levels of PA and resilience, it may be possible to customize interventions that target particular elements contributing to mental well-being among nurses, thereby enhancing the efficacy of strategies designed for symptom management.

METHODS

Design and participants

The descriptive-correlation method was utilized in this cross-sectional study, conducted through structural equation modeling. The research population consisted of all nurses employed in Bitlis province hospitals, Türkiye in 2023. Bitlis Province is situated in eastern Türkiye. The province derives its name from its central city, Bitlis. Covering an area of 8,294 square kilometers, it has a population of 353,988 residents. The city of Bitlis itself is located at an altitude of 1,545 meters, approximately 15 kilometers from the shores of Lake Van. Following the selection of hospitals and coordination with officials, nurses from various departments were invited to participate. This study was conducted according to the guidelines of the Declaration of Helsinki and approved by Bitlis Eren University Ethics Committee (Code: E-84771431-051-137701). Ethical considerations were adhered to, with necessary permits obtained, consent from nurses secured, and study objectives and methods clearly communicated. Confidentiality of study results was assured to all participants before data collection. Inclusion criteria included active nurses without recent infection symptoms, no known health issues, willingness to wear the accelerometer for seven days, having a minimum of three years of work experience and holding at least a bachelor’s degree. Additionally, participants needed to be employed in 24-hour hospitals and have direct patient care responsibilities. On the other hand, individuals who failed to complete the accelerometer protocol or questionnaire, as well as those who were unwilling to cooperate in the research, were excluded from the study. Accordingly, 146 nurses demonstrated interest, but 19 dropped out due to external factors (e.g., not have enough time) or non-compliance with criteria. Ultimately, data from 127 nurses were analyzed statistically.

Measures

PA

The ActiGraph GT3X-BT accelerometer was employed to evaluate the PA pattern. The participants were asked to place the device on their right hip for seven consecutive days, with the exception of water-related activities like showering or swimming. Sedentary time, light PA (LPA), MPA, VPA, and step counts were computed for each participant. Accelerometer data are quantified as a proportion of overall activity, such as the percentage of total time a participant remained sedentary while using the device, or the percentage of time they engaged in vigorous PA. Additionally, the analysis includes the duration of specific physical activities, for instance, the total minutes spent in vigorous PA throughout the day. The reliability of this measurement tool was assessed in the current study, yielding a Cronbach’s alpha coefficient of 0.94.

Depression

The assessment of depression was conducted using the Beck Depression Inventory (BDI-II) [32]. The questions were formulated by observing and summarizing common attitudes and symptoms among individuals experiencing depression. This questionnaire offers a comprehensive overview of depression symptomatology, with a specific focus on cognitive aspects. Consisting of 21 questions, the BDI-II covers a wide range of symptoms, and respondents are required to rate each item from zero to three. The overall score varies between 0 to 63. To determine the overall level of depression, the following score ranges can be utilized: score 0–13, 14–19, 20–28, and 29–63 indicates minimal, mild, moderate, and severe depression, respectively. In this study, Cronbach’s alpha for BDI-II was 0.93.

Stress

The Perceived Stress Scale (PSS) was utilized to assess stress levels. Cohen et al. [33] developed the PSS in 1983. This scale evaluates the intensity of situations that individuals perceive as stressful. The PSS includes direct inquiries regarding the level of stress experienced. Furthermore, the items are formulated to be general and minimize reliance on cultural and sub-cultural factors. The PSS comprises 10 questions that individuals should answer from 0 (never) to 4 (very much). The overall score varies between 0 to 40. The following score ranges can be used to determine the overall level of stress: score 0–13, 14–26, and 27–40 indicates low, moderate and high perceived stress, respectively. In this study, Cronbach’s alpha for PSS was 0.91.

Resilience

Resilience was measured using the Connor-Davidson Resilience Scale (CD-RISC). 34 It consists of 25 items that participants rate from completely false to completely true. The overall score varies between 0 to 100, with higher scores indicating a higher level of resilience. In this study, Cronbach’s alpha for CD-RISC was 0.89.

Data collection

After collaborating with the hospital, an appointment was scheduled with the participant. During this meeting, the examiner provided the necessary explanations regarding the research’s purpose and protocol. Then, the examiner would record the participant’s name in the accelerometer timeline, in coordination with he/she. On the designated day, the participant was initially asked to complete demographic information and respond to questionnaires related to depression, stress, and resilience. Finally, the participant received the accelerometer, along with detailed instructions on how to use it. These instructions were accompanied by visual aids that clearly demonstrated the proper usage of the accelerometer. Additionally, the participant was provided with various communication channels, including phone, email, and social networks, to contact the examiner if needed. Additionally, the participant received a sheet outlining the schedule for installing and uninstalling the accelerometer, along with his/her shift times. He was required to diligently fill out this sheet on a daily basis.

Statistical analysis

SPSS version 26 and Amos software version 21 (IBM Corp.) were employed to conduct the data analysis. Frequency, percentage, mean, and standard deviation (SD) were employed to illustrate the distribution of sociodemographic variables among the study participants. Gender differences were examined using the independent t-test. Additionally, the Pearson correlation test was utilized to explore the relationships within the study. One-sample t-test was used for comparing PA pattern of the nurses with WHO’s recommendations. The mediation of resilience in the correlation between PA with depression and stress was investigated using the method of structural equation modelling. A significance level of 0.05 was established.

RESULTS

Demographic characteristics

Table 1 shows demographic characteristics of the research sample. Accordingly, out of the 127 participants (mean age=29.76 years) involved in the study, 76 were women and 51 were men. The age group with the highest representation in the research was between 25 and 30 years, while the lowest percentage was observed among individuals aged 40 to 45 years. In terms of marital status, the research results indicated that 37.0% of the subjects were single, 57.0% were married, and the remaining participants were either divorced or widowed. Upon reviewing the participants’ work experience, it was discovered that 27.6% possessed a work history of 3 to 5 years, 48% had a work history of 5 to 10 years, and the remaining 24.4% had over 10 years of work experience. Additionally, the findings indicated that 49% of the participants had babies. Finally, the mean of body mass index (BMI) of the participants was 25.73 kg/m2.

Demographic characteristics of the research sample

PA

The findings regarding the PA pattern of the participants in the study are presented in two ways. Firstly, it displays the counts during day and night shifts as well as the weekdays and the weekend days (Table 2). As the nurses during a shift, primarily engage in activities such as walking, sitting, or standing, the number of steps taken is presented as an indicator of their PA during the shift. In addition, the participant’s daily step count is presented. Here, the findings of this study indicated that individuals took more steps on average in day vs. night shift (p<0.001). Moreover, on weekend days, the number of steps taken during the day shift surpassed that of other shifts (all p<0.001). However, when the ratio of steps to working hours was calculated, it was evident that the average number of steps during the day shift was notably higher than the night shift, with no significant difference between weekdays and weekend days (all p>0.05). Upon further analysis of daily step counts, it was revealed that participants averaged 8,739.56 steps per day, a figure significantly lower than the WHO’s recommended daily goal of at least 10,000 steps (p<0.001). Regarding gender differences, we only found a gender difference in “who day step count,” where males had significantly higher step counts in who day than women (p<0.001).

Step counts across shifts and gender

Secondly, Table 3 includes all the variables related to the PA pattern, such as sedentary time, LPA, MPA, and VPA, over the course of one week when the participants wore accelerometers. This data offers a comprehensive overview of the nurses’ PA pattern throughout the week, aligning with international guidelines. Accordingly, we found that the participants spent 65.22% of their total time in sedentary, 25.47% in LPA, 6.36% in MPA, and 2.95% in VPA. Furthermore, in terms of absolute numbers, the study demonstrated that the participants had an average of 120.51 minutes of MPA and an average of 25.91 minutes of VPA per week. The findings indicate that the nurses involved in this study engage in significantly lower levels of MPA and VPA compared to the international guidelines for adults. Regarding gender differences, the findings of this study revealed that men engaged significantly in higher MPA and VPA than women, while they had significantly lower sedentary time than women (all p<0.001). There was no significant gender difference in terms of LPA (p=0.120).

Physical activity pattern across gender

Depression, stress, and resilience among nurses

Table 4 displays the mean and SD for depression, stress, and resilience among nurses. Results demonstrated that the average depression score for nurses was 25.29, indicating a moderate level of depression symptoms. Additionally, the average stress score among nurses was 22.08, suggesting a moderate level of perceived stress. Lastly, the data on resilience revealed an average score of 63.60, indicating an above-moderate level of resilience. In terms of gender differences, the study findings indicated that women experienced significantly higher levels of depression and stress compared to men, while also exhibiting significantly lower levels of resilience (all p<0.001).

Depression, stress, and resilience across gender

Relationships between PA and resilience with depression and stress

The data presented in Table 5 includes the findings regarding the correlation between PA and resilience with depression and stress among nurses. The results revealed that the step counts and LPA do not show a significant correlation with depression (r=0.012, p=0.924 and r=0.005, p=0.991, respectively) and stress (r=0.035, p=0.893 and r=0.062, p=0.874, respectively). Conversely, MPA and VPA demonstrate a significant negative correlation with both depression (r=-0.528, p<0.001 and r=-0.605, p<0.001, respectively) and stress (r=-0.410, p<0.001 and r=-0.531, p<0.001, respectively). Moreover, sedentary time is directly and significantly associated with depression (r=0.364, p<0.001) and stress (r=0.482, p<0.001). Lastly, resilience exhibits a significant negative correlation with depression (r=-0.237, p<0.001) and stress (r=-0.308, p<0.001).

Correlations between PA and resilience with depression and stress

Mediating role of resilience

Before implementing structural equation modeling, it was ensured that its basic assumptions were established. The normality of the data distribution based on skewness and kurtosis indices demonstrated that the distribution of the step counts (S=0.60, K=1.09), sedentary time (S=0.73, K=1.22), LPA (S=-0.39, K=0.89), MPA (S=0.75, K=1.21), VPA (S=0.49, K=0.92), resilience (S=0.47, K=1.13), depression (S=0.14, K=0.64), and stress (S=-0.35, K=0.87) are in the normal range. The KMO index was 0.69, which indicates the adequacy of the sample size. Also, the results of the multiple collinearity analysis demonstrated that the tolerance statistic and the variance inflation factor in the step counts (0.69, 4.17), sedentary time (0.24, 2.08), LPA (0.41, 7.10), MPA (0.39, 5.08), VPA (0.30, 8.09), resilience (0.33, 5.89), depression (0.58, 2.74), and stress (0.30, 1.85) are within the acceptance range. Therefore, there is no multicollinearity between the research variables. Figure 1 shows the research model based on standardized coefficients (β).

Figure 1.

Research model with β values. ***p<0.001. LPA, light physical activity; MPA, moderate physical activity; VPA, vigorous physical activity.

The findings regarding the mediating function of resilience in the correlation between PA pattern (comprising step counts, sedentary time, LPA, MPA, and VPA) with depression and stress among nurses are illustrated in Figure 1. Accordingly, it is evident that resilience serves as a significant mediator in the correlation between sedentary time, MPA and VPA with depression (Z=3.569, p<0.001; Z=5.239, p<0.001; and Z=6.128, p<0.001, respectively) and stress (Z=4.823, p<0.001; Z=4.125, p<0.001; and Z=5.326, p<0.001, respectively). Nevertheless, resilience played no significant mediating role in the correlation between step counts and LPA with both depression (Z=0.023, p>0.05 and Z=0.006, p>0.05, respectively) and stress (Z=0.039, p>0.05 and Z=0.065, p>0.05, respectively). The model fit results indicate that the research model has an excellent fit to the data (χ2=3.627, p=0.171, Comparative Fit Index=0.995, Goodness-of-fit Index=0.997, root mean square residuals=0.049).

DISCUSSION

Due to the hard-working conditions, nurses face depression and stress [2,5,6]. On the other hand, PA is considered an effective and important factor in improving mental health [11-13]. Therefore, the purpose of current research was to explore the correlation between PA with depression and stress among nurses, with a focus on the mediating role of resilience. Initially, it is important to note that the findings revealed that the nurses involved in this research exhibit a moderate level of depression and stress. Furthermore, it was observed that women experience higher levels of depression compared to men. These findings align with the results of Chidiebere Okechukwu et al. [7], Babapour et al. [8], Zakeri et al. [9], and Chen and Meier [10], and suggest that working as a nurse can potentially result in psychological issues such as depression and stress. Moreover, the influence of biological factors, including genetic and hormonal influences, alongside psychological aspects such as the tendency to employ emotion-focused coping strategies in response to stress, and sociological elements like the nature of trauma experienced, suggests that the effects are more significant for women compared to men. Although additional research is required to identify the underlying cause of this gender disparity among nurses, these results highlight the unique challenges and pressures faced by female nurses in their work environment. Future research endeavors should prioritize exploring interventions aimed at enhancing the mental well-being of nurses, particularly focusing on women.

Moreover, the findings regarding the pattern of PA are interesting. Upon calculating the ratio of step counts to working hours, it was observed that the average step counts were higher in day vs. night shift, with no significant difference between weekdays and weekend days. Upon further examination of daily step counts, it was determined that participants averaged 8,739.56 steps per day, which are in line with the findings of Chang and Cho [19], Fijačko et al. [20], Chappel et al. [21,22], falls short of the WHO’s recommended daily target of 10,000 steps. Nevertheless, the correlation test results indicated that the step counts do not notably enhance mental health indicators such as depression and stress. These outcomes suggest that PA nurses undertake during work may not be health-focused activities and may not contribute to improving mental health. Hence, the primary emphasis should likely be on nurses’ PA outside of the working hours.

In addition, it was found that the nurses involved in the research had an average of 120.51 minutes of MPA and an average of 25.91 minutes of VPA per week, which are in line with the findings of Chang and Cho [19], Fijačko et al. [20], Chappel et al. [21,22], indicating lower levels of MPA and VPA among nurses. Furthermore, when considering gender differences, the study revealed that men were engaging in significantly higher levels of MPA and VPA compared to women. This information highlights the importance of addressing gender disparities in PA levels. Moreover, the study also found that engaging in health-oriented PA, such as MPA and VPA, could potentially help alleviate depression and stress among nurses. Despite not meeting the recommended guidelines set by the WHO, higher levels of MPA and VPA were significantly associated with lower levels of depression and stress. These findings align with Zou et al. [35], Bischoff et al. [36], Lautenschlager [37], and BidzanWiącek et al. [38] and demonstrate the beneficial impact of engaging in health-focused PA on mental well-being, including depression and stress. Clinical studies have put forth various mechanisms to explain the positive impact of PA on depression and stress. These mechanisms include the increased production of serotonin, dopamine, and norepinephrine, which are commonly known as “feel-good” hormones. These hormones are essential for reducing stress and enhancing overall well-being [39].

Based on our findings, which indicate that the step counts do not impact depression and stress levels, it is recommended that nurses prioritize engaging in MPA and VPA outside of their work environment. This will allow them to reap the numerous health benefits associated with PA. Given the demanding nature of nurses’ jobs, including rotating night and day shifts throughout the week and month, and recognizing the crucial role of nurses’ physical and mental well-being in ensuring the optimal efficiency of the healthcare system, health officials should meticulously and comprehensively devise plans to enhance the participate of nurses in health-oriented PA that promote their overall health and well-being.

In relation to PA patterns, it is important to highlight that sedentary behavior demonstrated a direct and significant correlation with depression and stress. Sedentary refers to any waking activity that is performed while sitting or lying down [40]. Given that nurses primarily engage in sitting or standing during work, it is expected that they spend a significant amount of time being sedentary. Our findings also indicate that approximately 65% of the nurses’ total accelerometer time is attributed to sedentary behavior. Consequently, based on these findings, which are in line with the findings of Chang and Cho [19], Fijačko et al. [20], Chappel et al. [21,22], it can be anticipated that nurses have a relatively high level of sedentary time, which can lead to various physical and mental health issues in the future due to the detrimental effects of sedentary behavior. Furthermore, our results demonstrate that the participants experience depression and stress, which could be attributed to their prolonged periods of being inactive. Additionally, considering that female nurses had higher sedentary time compared to males, it can be inferred that the elevated levels of depression, stress, and BMI among female nurses may be influenced by their increased sedentary behavior.

Finally, our findings demonstrated that resilience has a mediating function in the correlation between PA pattern (comprising step counts, sedentary time, LPA, MPA, and VPA) with depression and stress among nurses. To the best of our knowledge, there is no single study that examined this issue, however, these findings hold significant importance as they demonstrate the favorable impact of both resilience and PA on the mental well-being of nurses, specifically in terms of depression and stress. To interpret these findings, it can be stated that enhancing resilience fosters improved coping mechanisms and defense strategies in individuals [26,27]. Nurses with strong resilience are possibly able to utilize positive adaptive skills to effectively manage stress and thrive in the demanding hospital environment [25]. The greater a person’s resilience and ability to handle life’s challenges and pressures, the lower their susceptibility to mental and emotional disturbances [27,29]. Those with high resilience are possibly able to preserve their psychological health during times of stress and adversity, demonstrating psychological flexibility. Resilience plays a crucial role in adaptation, life satisfaction, and mental health [25]. By influencing an individual’s emotions and feelings, resilience promotes a positive outlook and ultimately, life satisfaction. Individuals with high resilience assess stressful situations and then employ rational solutions to steer these circumstances in a desired direction. Such individuals experience contentment, self-assurance, and self-belief in challenging conditions [29,30].

This study had several strengths. For instance, the utilization of accelerometer tools for tracking PA allowed for a relatively accurate assessment of nurses’ PA pattern, including step counts and time. Furthermore, the research effectively examined PA levels during shifts and outside of working hours, enabling the identification of a relatively comprehensive pattern for PA behaviors of nurses. However, there were limitations to the study. The research did not specify the types of activities nurses engaged in outside of working hours, such as aerobic or anaerobic exercises, or specific sports like yoga. Future studies should address this gap by focusing on the types of activities nurses participate in and exploring the impact of intervention programs targeting various PAs on mental health. Additionally, we did not measure the nurse-to-patient ratio during shifts, which could influence the results. Future research should account for this factor and its potential effects on outcomes. Lastly, the inability of accelerometers to track aquatic activities means that water sports like swimming during off-shift hours were not included in the study. Therefore, future research should investigate the types of PAs, including aquatic activities, nurses engage in outside of work hours.

Conclusion

To summarize, this investigation has uncovered that the nurses, particularly women, experience a moderate degree of depression and stress. Furthermore, the step counts were higher in the day vs. night shift. Overall, the nurses in this study, especially women, engage in PA levels significantly below the international guidelines for adults. Additionally, higher intensity levels of PA (i.e., MPA and VPA) were found to be linked to lower levels of depression and stress, whereas lower intensity levels of PA (i.e., step counts and LPA) did not have an impact on depression and stress levels among nurses. Therefore, it is crucial for health officials to carefully and comprehensively develop strategies to increase nurses’ participation in health-oriented PA (i.e., MPA and VPA) that promote their overall health and well-being. Lastly, resilience plays a significant role as a mediator in the correlation between sedentary time, MPA and VPA with depression and stress among nurses. These findings are of great importance as they demonstrate the positive influence of both resilience and PA on the mental well-being of nurses. Finally, this study was carried out using a cross-sectional design, and it did not investigate the impact of PA and resilience-focused interventions on the mental well-being of nurses. Therefore, it is recommended that future studies explore the influence of PA and resilience-oriented interventions on enhancing the mental well-being of nursing professionals.

Notes

Availability of Data and Material

The data presented in this study are not publicly available due to ethical reasons.

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: Tuğba Mutlu Bozkurt, Mehmet Ali Öztürk. Data curation: Tuğba Mutlu Bozkurt. Investigation: Tuğba Mutlu Bozkurt. Methodology: Tuğba Mutlu Bozkurt, Mehmet Ali Öztürk. Project administration: Mehmet Ali Öztürk. Supervision: Mehmet Ali Öztürk. Writing—original draft: Tuğba Mutlu Bozkurt, Mehmet Ali Öztürk. Writing—review & editing: Mehmet Ali Öztürk.

Funding Statement

None

Acknowledgements

We appreciate the participation of all participants.

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Article information Continued

Figure 1.

Research model with β values. ***p<0.001. LPA, light physical activity; MPA, moderate physical activity; VPA, vigorous physical activity.

Table 1.

Demographic characteristics of the research sample

Total (N=127) Men (N=51) Women (N=76) Comparison (p)
Age (yr) 29.76±4.28 32.87±3.09 27.43±3.81 <0.001
Marital status
 Single 47 (37.0) 18 (35.3) 29 (38.2) 0.217
 Married 73 (57.5) 31 (60.8) 42 (55.3) 0.012
 Divorced/widow 7 (5.5) 2 (3.9) 5 (6.6) 0.002
Experience (yr)
 3–5 35 (27.6) 13 (25.5) 22 (28.9) 0.043
 5–10 61 (48.0) 26 (51.0) 35 (46.1) 0.029
 >10 31 (24.4) 12 (23.5) 19 (25.0) 0.871
Father/mother and baby
 Yes 62 (48.8) 25 (49.0) 37 (48.7) 0.992
 No 65 (51.2) 26 (51.0) 39 (51.3) 0.998
BMI (kg/m2) 25.73±2.64 24.09±2.17 26.52±2.86 <0.001

Values are presented as mean±standard deviation or number (%). BMI, body mass index

Table 2.

Step counts across shifts and gender

Total (N=127) Men (N=51) Women (N=76) Comparison (p)
Weekday
 Day shift 5,684.28±1,394.94 5,581.78±1,287.55 5,739.71±1,071.95 0.093
 Night shift 4,217.84±972.07 4,263.90±1,027.69 4,197.19±952.08 0.108
Weekend day
 Day shift 8,176.93±2,074.47 8,239.07±2,364.82 8,129.77±2,508.93 0.088
 Night shift 4,982.60±1,183.47 5,027.38±1,207.64 4,927.09±967.55 0.217
Whole day 8,739.56±2,864.02 9,387.68±3,209.63 8,329.07±2,968.76 <0.001

Values are presented as mean±standard deviation

Table 3.

Physical activity pattern across gender

Total (N=127) Men (N=51) Women (N=76) Comparison (p)
Sedentary (%) 65.22±10.97 61.05±12.70 68.35±11.21 <0.001
LPA (%) 25.47±4.19 26.89±5.54 24.58±4.06 0.120
MPA (%) 6.36±2.67 8.61±3.28 4.87±2.39 <0.001
VPA (%) 2.95±2.35 3.45±2.57 2.20±1.90 <0.001
MPA (min/wk) 120.51±20.48 139.61±29.86 102.66±16.95 <0.001
VPA (min/wk) 25.91±8.64 32.22±10.12 19.80±6.99 <0.001

Values are presented as mean±standard deviation. LPA, light physical activity; MPA, moderate physical activity; VPA, vigorous physical activity

Table 4.

Depression, stress, and resilience across gender

Total (N=127) Men (N=51) Women (N=76) Comparison (p)
Depression 25.29±5.71 22.59±4.84 27.65±5.06 <0.001
Stress 22.08±4.22 20.14±4.74 24.47±3.69 <0.001
Resilience 63.60±12.79 67.64±13.27 59.79±8.54 <0.001

Values are presented as mean±standard deviation

Table 5.

Correlations between PA and resilience with depression and stress

Depression Stress
Step counts r=0.012 r=0.035
p=0.924 p=0.893
Sedentary time r=0.364 r=0.482
p<0.001 p<0.001
LPA r=0.005 r=0.062
p=0.991 p=0.874
MPA (min/wk) r=-0.528 r=-0.410
p<0.001 p<0.001
VPA (min/wk) r=-0.605 r=-0.531
p<0.001 p<0.001
Resilience r=-0.237 r=-0.308
p<0.001 p<0.001

PA, physical activity; LPA, light PA; MPA, moderate PA; VPA, vigorous PA