Kalaiyarasi Balakrishnan, Helen Shaji John Cecily*
Faculty of Medical and Health Sciences, SRM College of Nursing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India
*Corresponding Author’s Mail ID: helenshj@srmist.edu.in
ABSTRACT
Background: Work-life balance is the balance between work and personal life that is important for employee health and productivity. Nursing is a very stressful job, so keeping this balance helps nurses provide better care, stay healthy, and make their clients happier by doing better work and being more involved. Objectives: To identify the correlation between work-life balance and work engagement among the nursing staff in a tertiary care center. Methods: A cross-sectional descriptive correlational study was performed among 250 staff nurses chosen through convenience sampling from a tertiary care hospital. Data were gathered using the Work–Life Balance Scale and the Utrecht Work Engagement Scale (UWES-17) and analyzed using descriptive and inferential statistics methods. Results: The study determined that 48.8% of nurses reported a high level of work-life balance, and 32.8% had a moderate level. As for work engagement, 28.4% were very highly engaged and 23.6% highly engaged. The mean ± standard deviation of the work-life balance score was 62.58 ± 14.95, whereas the average work engagement score was 3.59 ± 1.71. There was a statistically significant moderate positive correlation between work-life balance and work engagement (r = 0.427, p < 0.001). Family type (p = 0.008) and number of children (p = 0.019) were significantly related to work-life balance, whereas gender was significantly associated with work engagement (p = 0.039). Conclusion: The findings highlight the importance of promoting organizational policies and interventions, flexible scheduling, adequate staffing, and psychological support, which may enhance work-life balance and engagement, improve job satisfaction, and ensure quality care delivery.
INTRODUCTION
Nurses are the most important part of healthcare systems, especially in tertiary care centers, where the clinical environment is very demanding and often involves long hours, emotional stress, and heavy workloads (Shah et al., 2021). In these high-pressure situations, the importance of achieving a balance between work and personal life, known as Work-Life Balance (WLB), has become increasingly apparent. Work–life balance is associated with reduced role conflict and improved well-being among healthcare professionals (Holland et al., 2019; Kowitlawkul et al., 2019).
At the same time, healthcare organizations strive for a workforce that is not only physically present but also psychologically motivated and dedicated - a state that can be described by the concept of work engagement. Work engagement is a positive work-related psychological state characterized by vigor, dedication, and absorption (Holly et al., 2024). Engaged nurses have been shown to bring more energy to their work, exhibit a higher sense of dedication to their job, and be more committed to patient care, thus leading to better job performance and, as a result, increased quality of care. Data derived from studies conducted in hospitals suggest that the level of a nurse's work engagement has a close relationship with the nurse's work performance, the patient's care outcomes, and reduced turnover intention (Seragon & Cruz, 2025; Vimonvattana & Benjakul, 2025).
Organizations, not just individuals, must take the role of finding a process to maintain a healthy work-life balance seriously. Nurses' work-life imbalance has brought about managing a number of negative consequences, including burnout, higher turnover intention, and lower job satisfaction. These problems have, to some extent, compromised patient safety and the quality of care, leading to increased risks of medical errors and decreased patient trust in healthcare services (Li et al., 2024). On the other hand, work engagement is believed to have a major part in many positive outcomes for organizations, such as improved job performance, higher patient satisfaction, and lower employee turnover. Due to a shortage of sufficiently trained nurses worldwide, it is necessary to keep nurses productive to render healthcare services effectively and efficiently (Poku et al., 2025).
The Job Demands-Resources (JD-R) model is a common theoretical framework to illustrate the relationship between work-life balance and work engagement. In this circumstance, work–life issues are seen as an important part of the job that drains a person's energy and is associated with burnout (Méndez et al., 2025). On the other hand, balancing work and personal life well is a personal resource that can help you manage stress and remain motivated in a way that keeps you interested in your work. Nurses are more likely to contribute their mental and emotional energy into their work when they feel in control of their schedules and can meet their personal responsibilities.
Several research studies done in the healthcare sector have revealed that nurses who have a supportive work environment, flexible policies, and good social support outside work feel more satisfied with their work-life balance and are more engaged at work (Sun et al., 2022). As evidence, female nurses with preschool-aged children have revealed that work engagement and social support are major factors sustaining them both personally and professionally. This highlights that different work-life balance factors in the environment are very important for this particular group. Similarly, socio-ecological reviews indicate that the WLB of nurses is a result of the interplay of individual, organizational, and policy-level factors, thereby emphasizing the necessity for context-specific investigations (Widayana et al., 2025).
Affective organizational commitment and positive family-to-work spillover are the major factors that influence the engagement of hospital nurses; thus, the promotion of initiatives that support both domestic and professional spheres becomes an imperative. Being strongly attached to their organization equips nurses with the ability to cope with stress at home without it having any negative influence on their work; hence, they can maintain their full engagement in their jobs. Hospital organizations, through their concerted efforts, need to put in place measures that not only support but also motivate nurses to achieve work–life balance by, among other things, facilitating the fulfillment of domestic role obligations and thus contributing to their workplace engagement in the form of vitality, enthusiasm, and overall engagement (Fukuzaki et al., 2021).
Work engagement of nurses is significantly influenced by the quality of their work life, which includes work–life balance, support from the supervisor, and opportunities for professional development in hospital settings. The correlation has real consequences for healthcare leaders who want to keep and refresh the skilled staff (Sibuea et al., 2024).
In the present study setting, a large tertiary care center in Tamil Nadu, nurses care for patients with high acuity and complex conditions that require continuous monitoring and advanced technology. They frequently work rotating shifts, including nights, manage unpredictable workloads with emergency admissions and rapid patient turnover, and often do so within lean staffing patterns. These features increase physical and emotional demands and disrupt family and personal routines, making it especially difficult to maintain a healthy work–life balance while remaining engaged at work. Understanding how work–life balance is associated with work engagement in this specific tertiary care context is therefore crucial for designing effective organizational strategies.
Although many studies have linked work-life balance with work engagement of nurses, a majority of them were done in general hospital settings or abroad and mostly looked at organizational and psychosocial factors. There is hardly any research that has focused on work- life balance and work engagement of nurses in high-acuity tertiary care settings where, in addition to work pressure, staff patterns and emotional demands are also different to a great extent. Besides, family-related factors such as family type and number of children, which are particularly significant in the Indian social context, are least studied. Health-care infrastructure, cultural expectations and resource constraints being quite different in India, these factors might have a very different impact on the ability of nurses to manage work-life balance and work engagement. Hence, this research fills this contextual and setting-specific gap by exploring the relationship between work-life balance and work engagement among nurses in a tertiary care hospital.
Research Objectives
To assess the level of work-life balance and work engagement among staff nurses.
To examine the relationship between work-life balance and work engagement among staff nurses.
To assess the association between the selected demographic variables and work–life balance and work engagement.
Research Hypothesis
H1: There is a significant relationship between work–life balance and work engagement among staff nurses.
H2: There is a significant association between selected demographic variables and work–life balance among staff nurses.
H3: There is a significant association between selected demographic variables and work engagement among staff nurses.
Operational Definitions
The ability of staff nurses to appropriately manage their work and personal lives was assessed using a self-structured work–life balance questionnaire developed and validated by the investigator.
Work engagement refers to a positive work-related state characterized by vigor, dedication, and absorption, measured using a standardized Utrecht Work Engagement Scale (UWES).
Staff nurses are registered nurses who provide direct patient care in the various inpatient and outpatient departments of the selected tertiary care center during the period of data collection.
A tertiary care center refers to a specialized healthcare institution providing comprehensive medical and nursing services, including advanced diagnostic and therapeutic care.
Staff nurses participating in the study provided honest and accurate responses to the self- administered questionnaires. The tools used in the study are valid and reliable. Work-life balance has an impact on the work engagement of the nurses.
METHODOLOGY
Research Approach
A quantitative research approach was adopted for the present study.
Research Design
A cross-sectional descriptive survey design was used to assess work–life balance and work engagement among staff nurses. This design is suitable for studying the relationship between variables at one point in time; however, it does not allow for causal inference.
Study Setting
The study was conducted at a tertiary care center in Tamil Nadu.
Sample Size Estimation
The sample size was calculated using Cochran’s formula (Israel, 2003):
The inclusion criteria were staff nurses willing to participate during the study period. Based on the calculation, the estimated sample size was 250.
Sample Size
A total of 250 staff nurses were included in the study.
Sampling Technique
Convenience sampling was chosen because of practical reasons, such as duty rosters based on shifts and the availability of the participants during the period when data were being collected. This method is acknowledged to reduce the potential to generalize.
Participants
An anonymous cross-sectional questionnaire survey was administered to nurses working at a tertiary care center in Tamil Nadu, India. The participants were provided with envelopes containing explanatory documents and questionnaires describing the study’s purpose, personal information protection, and data management methods. The survey was done in September 2025 over the course of one month.
Target Population
The target population comprised of all staff nurses working in tertiary care hospitals.
Accessible Population
The accessible population included staff nurses working in the selected tertiary care center in Tamil Nadu during the study period.
Instruments
The following items were included: age, gender, education, marital status, family type, number of children, income, current department, experiences of the nurses, and number of working hours.
The Work–Life Balance Scale itself is a self-administered tool that nurses can use to find out how they feel about and deal with combining their professional and personal lives. The scale comprises 20 questions that are divided into three domains: 1. Work-Related Factors (9 items), 2. Home/Family/Personal Life Factors (6 items), and 3. Work–Life Balance Perception and Outcomes (5 items). Each sentence was rated on a 5-point Likert scale, with scores varying from 1 (Strongly Disagree) to 5 (Strongly Agree). Scores were interpreted as good work-life balance (61–80), moderate balance (41–60), poor balance (21–40), and very poor work-life balance (below 20).
The Utrecht Work Engagement Scale (UWES-17) is a reliable tool to measure the presence of positive work-related psychological states, which are vigor, dedication, and absorption (Schaufeli & Taris, 2014; Schaufeli et al., 2006; Schaufeli & Bakker, 2003). The questionnaire comprises 17 statements, which are subdivided into three different dimensions: vigor (6 items), dedication (5 items), and absorption (6 items). Each item can be rated on a 7-point Likert scale ranging from 0 ("never") to 6 ("always/every day"). UWES was calculated to determine overall reported work engagement, with higher scores indicating higher engagement. Scores were calculated as high (4- 6), moderate (2-4), and low (0-2) levels of the reported engagements. The Utrecht Work Engagement Scale is explicitly stated by the authors to be free for use in non-commercial scientific research such as academic studies, theses, and dissertations.
Data Collection
Data were collected from staff nurses working in a selected tertiary care center in Tamil Nadu over one month (September 2025). Prior permission and ethical approval were obtained before data collection. Eligible participants were provided with an information sheet, and written informed consent was obtained before participation. Data were collected using self-administered questionnaires, which included demographic details, work–life balance, and work engagement variables. Participants completed the questionnaires individually to ensure confidentiality, and all responses were collected on the same day after completion.
Reliability and Validity of the Tool
To obtain the reliability and validity of the study instruments, a pilot study was conducted among 30 staff nurses. Internal consistency reliability was assessed for the self-structured Work–Life Balance Questionnaire and the Work Engagement Scale (UWES-17). The Cronbach’s alpha values obtained were 0.81 for the Work–Life Balance Questionnaire and 0.93 for the UWES-17, indicating satisfactory internal consistency. The pilot study participants were excluded from the main study. Content validity of the self-structured questionnaire was established through expert review. Overall, the instruments demonstrated acceptable reliability and validity for use in the main study.
Data Analysis
Data was analyzed using SPSS version 20. Demographic characteristics and study variables (work–life balance and work engagement) were described by the mean, standard deviation, frequency, and percentage. Additionally, median values were calculated to assess the distribution of data and identify the skewness in the work-life balance and work engagement scores, so both mean and median are reported to give a more complete picture of central tendency. The relationship between work–life balance and work engagement was tested by inferential statistics, i.e., Pearson’s correlation coefficient. Also, the relationships between demographic variables and the main outcomes were tested by the chi-square test. The p-value of 0.05 or less was considered statistically significant.
Ethical Consideration
The research obtained ethical clearance from the Ethical Review Committee, SRM Medical College and Hospital and Research Centre, India with Reference Number ECR/8869/INST/TN/2013/RR-19 on 23rd July 2024.
RESULTS
Variable | Category | n | (%) |
Age (Years) | 21–30 | 177 | 70.8 |
31–40 | 45 | 18.0 | |
41 – 50 | 20 | 8.0 | |
Above 50 | 8 | 3.2 | |
Gender | Male | 31 | 12.4 |
Female | 219 | 87.6 | |
Marital Status | Single | 140 | 56.0 |
Married | 108 | 43.2 | |
Divorced / Widowed | 2 | 0.8 | |
Education | Diploma | 36 | 14.4 |
B.Sc Nursing | 204 | 81.6 | |
M.Sc & above | 10 | 4.0 | |
Income | ₹15,000 – ₹30,000 | 197 | 78.8 |
₹30,000 – ₹45,000 | 29 | 11.6 | |
More than ₹45,000 | 24 | 9.6 | |
Family Type | Nuclear | 174 | 69.6 |
Joint | 74 | 29.6 | |
Extended | 2 | 0.8 | |
Children | None | 143 | 57.2 |
≥1 | 107 | 42.8 | |
Experience | ≤5 years | 203 | 81.2 |
>5 years | 47 | 18.8 | |
Working Hours | ≤8 hrs | 234 | 93.6 |
>8 hrs | 16 | 6.4 | |
Current Department/Unit | Critical care unit | 91 | 36.4 |
Specialized area | 72 | 28.8 | |
Gynaecology /Obstetrics | 19 | 7.6 | |
General ward | 68 | 27.2 |
Table 1 highlights that the majority of respondents in this study were female nurses, primarily aged 21 to 30 and holding a B.Sc. in Nursing. A high percentage of them were from nuclear families and were without children. The majority of the nurses had ≤5 years of work experience and worked ≤8 hours per day, which describes a profile of a young nursing workforce.
Level of Work-Life Balance | Very low | Low | Moderate | High | Excellent | |||||
F | % | F | % | F | % | F | % | F | % | |
Work-related factors | - | - | 29 | 11.6 | 57 | 22.8 | 129 | 51.6 | 35 | 14.0 |
Home/Family/Personal life factors | - | - | 33 | 13.2 | 60 | 24.0 | 98 | 39.2 | 59 | 23.6 |
Work-life balance perception & outcomes | - | - | 6 | 2.4 | 74 | 29.6 | 156 | 62.4 | 14 | 5.6 |
Overall Work-life balance | - | - | 25 | 10.0 | 82 | 32.8 | 122 | 48.8 | 21 | 8.4 |
Level of Work Engagement | Very low | Low | Moderate | High | Very High | |||||
F | % | F | % | F | % | F | % | F | % | |
Vigor | 21 | 8.4 | 31 | 12.4 | 83 | 33.2 | 59 | 23.6 | 56 | 22.4 |
Dedication | 18 | 7.2 | 33 | 13.2 | 64 | 25.6 | 36 | 14.4 | 99 | 39.6 |
Absorption | 20 | 8.0 | 34 | 13.6 | 70 | 28.0 | 49 | 19.0 | 77 | 30.8 |
Overall Work Engagement | 23 | 9.2 | 30 | 12.0 | 67 | 26.8 | 59 | 23.6 | 71 | 28.4 |
Table 2 shows that nearly half of the staff nurses reported a very good level of work–life balance (48.8%), followed by a moderate level (32.8%). A similar pattern was observed for work engagement, with most nurses demonstrating very high (28.4%) and high (23.6%) levels. Among the dimensions of work engagement, the highest proportion was observed in the ‘very high’ level of dedication (39.6%), indicating that nurses are strongly committed to their profession.”
Variable | Mean ± SD | Median |
Work–Life Balance | ||
Work-related factors | 28.63 ± 7.66 | 30.0 |
Personal life factors | 18.88 ± 5.39 | 19.0 |
WLB perception | 15.07 ± 3.68 | 15.0 |
Overall Work–Life Balance | 62.58 ± 14.95 | 63.0 |
Work Engagement | ||
Vigor | 3.42 ± 1.65 | 3.67 |
Dedication | 3.81 ± 1.86 | 4.40 |
Absorption | 3.59 ± 1.75 | 4.00 |
Overall Work Engagement | 3.59 ± 1.71 | 4.0 |
Table 3 depicts the work-life balance mean total score at 62.58 ± 14.95, while work-related factors have the highest mean, which means that the main factors of work-life balance for nurses are the different aspects of their jobs. The mean overall work engagement score was 3.59 ± 1.71. Among various aspects of work engagement, the mean score for dedication was also the highest, indicating that they have a strong desire to give their best and be highly engaged in their work.
Variables | Mean | S.D. | Karl Pearson’s Correlation “r” & p- value |
Work-Life Balance | 62.58 | 14.95 | r = 0.427 p = 0.0001, S* |
Work Engagement | 3.59 | 1.71 |
S* = Statistically significant at p < 0.05
Table 4 explains the relationship between work–life balance and work engagement. A moderate positive correlation was observed between work–life balance and work engagement (r = 0.427, p = 0.0001), which was statistically significant. This indicates that higher levels of work–life balance are associated with higher levels of work engagement among staff nurses.
Figure 1 shows a moderate positive correlation between work–life balance and work engagement of staff nurses (r = 0.427, p = 0.0001), indicating that better work–life balance is associated with higher levels of work engagement.
Demographic Variables | Low | Moderate | High | Excellent | Chi-Square Test and p-value | ||||
No. | % | No. | % | No. | % | No. | % | ||
Age in years | 2=15.129 df=9 p=0.087 N.S. | ||||||||
21 – 30 | 17 | 6.8 | 61 | 24.4 | 88 | 35.2 | 11 | 4.4 | |
31 – 40 | 2 | 0.8 | 14 | 5.6 | 22 | 8.8 | 7 | 2.8 | |
41 – 50 | 3 | 1.2 | 7 | 2.8 | 8 | 3.2 | 2 | 0.8 | |
Above 50 | 3 | 1.2 | 0 | 0 | 4 | 1.6 | 1 | 0.4 | |
Gender | 2=3.506 df =3 p=0.320 N.S. | ||||||||
Male | 6 | 2.4 | 9 | 3.6 | 14 | 5.6 | 2 | 0.8 | |
Female | 19 | 7.6 | 73 | 29.2 | 108 | 43.2 | 19 | 7.6 | |
Marital Status | 2=9.503 df=6 p=0.147 N.S. | ||||||||
Single | 17 | 6.8 | 44 | 17.6 | 73 | 29.2 | 6 | 2.4 | |
Married | 8 | 3.2 | 37 | 14.8 | 48 | 19.2 | 15 | 6.0 | |
Divorced / Widowed | 0 | 0 | 1 | 0.4 | 1 | 0.4 | 0 | 0 | |
Income | 2=3.921 df =6 p=0.687 N.S. | ||||||||
₹15,000 – ₹30,000 | 17 | 6.7 | 63 | 25.2 | 100 | 40.0 | 17 | 6.8 | |
₹30,000 – ₹45,000 | 4 | 1.6 | 9 | 3.6 | 14 | 5.6 | 2 | 0.8 | |
More than ₹45,000 | 4 | 1.6 | 10 | 4.0 | 8 | 3.2 | 2 | 0.8 | |
Educational Qualification | 2=3.904 df=6 p=0.690 N.S. | ||||||||
ANM | 3 | 1.2 | 10 | 4.0 | 18 | 7.2 | 5 | 2.0 | |
Diploma in Nursing | 10 | 8.0 | 68 | 27.2 | 101 | 40.4 | 15 | 6.0 | |
Bachelor of Science in Nursing (B.Sc. or P.B.B.Sc.) | 2 | 0.8 | 4 | 1.6 | 3 | 1.2 | 1 | 0.4 | |
Postgraduate (M.Sc. Nursing or higher) | - | - | - | - | - | - | - | - | |
Family Type | 2=17.395 df=6 p=0.008 S* | ||||||||
Nuclear family | 15 | 6.0 | 61 | 24.4 | 90 | 36.0 | 8 | 3.2 | |
Joint family | 9 | 3.6 | 20 | 8.0 | 32 | 12.8 | 13 | 5.2 | |
Extended family | 1 | 0.4 | 1 | 0.4 | 0 | 0 | 0 | 0 | |
Number of Children | 2=15.129 df=6 p=0.019 S* | ||||||||
0 | 19 | 7.6 | 44 | 17.6 | 74 | 29.6 | 6 | 2.4 | |
1 | 0 | 0 | 19 | 7.6 | 22 | 8.8 | 6 | 2.4 | |
More than 2 | 6 | 2.4 | 19 | 7.6 | 26 | 10.4 | 9 | 3.6 | |
Experience of the Nurses Working in Intensive Care Unit | 2=6.114 df=9 p=0.728 N.S. | ||||||||
1 – 5 years | 20 | 8.0 | 63 | 25.2 | 103 | 41.2 | 17 | 6.8 | |
6 – 10 years | 1 | 0.4 | 8 | 3.2 | 9 | 3.6 | 3 | 1.2 | |
11 – 15 years | 1 | 0.4 | 5 | 2.0 | 3 | 1.2 | 0 | 0 | |
More than 15 years | 3 | 1.2 | 6 | 2.4 | 7 | 2.8 | 1 | 0.4 | |
Number of Working Hours | 2=4.859 df=6 p=0.562 N.S. | ||||||||
6 hours | 5 | 2.0 | 24 | 9.6 | 39 | 15.6 | 5 | 2.0 | |
8 hours | 18 | 7.2 | 55 | 22.0 | 75 | 30.0 | 13 | 5.2 | |
12 hours | 2 | 0.8 | 3 | 1.2 | 8 | 3.2 | 3 | 1.2 | |
Current Department/Unit | 2=16.031 df=9 p=0.066 N.S. | ||||||||
Critical care unit | 8 | 3.2 | 37 | 14.8 | 44 | 17.6 | 2 | 0.8 | |
Specialized area | 8 | 3.2 | 22 | 8.8 | 36 | 14.4 | 6 | 2.4 | |
Gynecology / Obstetrics | 0 | 0 | 5 | 2.0 | 12 | 4.8 | 6 | 2.4 | |
General ward | 9 | 3.6 | 18 | 7.2 | 30 | 12.0 | 11 | 4.4 | |
N.S.: Non-Significant
Table 5 highlights the relationship between demographic variables and the degree of work-life balance among staff nurses. Of all the variables, family type (χ² = 17.395, p = 0.008) and number of children (χ² = 15.129, p = 0.019) were the only ones to have statistically significant correlations. Nurses who are members of nuclear families and those without children expressed higher levels of work-life balance, which could be attributed to fewer family obligations and more effective time management. Other variables like age, gender, marital status, income, education, work experience, working hours, and department were not significantly associated (p > 0.05), suggesting that work-life balance is largely determined by family factors rather than professional or demographic characteristics.
Demographic Variables | Very Low | Low | Moderate | High | Very High | Chi-Square Test & p-value | |||||
No. | % | No. | % | No. | % | No. | % | No. | % | ||
Age in years | 2=17.064 =12 p=0.147 N.S. | ||||||||||
21–30 | 20 | 8.0 | 21 | 8.4 | 49 | 19.6 | 37 | 14.8 | 50 | 20.0 | |
31–40 | 2 | 0.8 | 3 | 1.2 | 13 | 5.2 | 10 | 4.0 | 17 | 6.8 | |
41–50 | 1 | 0.4 | 5 | 2.0 | 3 | 1.2 | 9 | 3.6 | 2 | 0.8 | |
Above 50 | 0 | 0 | 1 | 0.4 | 2 | 0.8 | 3 | 1.2 | 2 | 0.8 | |
Gender | 2=10.112 df=4 p=0.039 S* | ||||||||||
Male | 3 | 1.2 | 4 | 1.6 | 15 | 6.0 | 3 | 1.2 | 6 | 2.4 | |
Female | 20 | 8.0 | 26 | 10.4 | 52 | 20.8 | 56 | 22.4 | 65 | 26.0 | |
Marital Status | 2=3.105 df=8 p=0.928 N.S. | ||||||||||
Single | 14 | 5.6 | 15 | 6.0 | 40 | 16.0 | 31 | 12.4 | 40 | 16.0 | |
Married | 9 | 3.6 | 15 | 6.0 | 27 | 10.8 | 27 | 10.8 | 30 | 12.0 | |
Divorced / Widowed | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | 1 | 0.4 | |
Income | 2=13.182 df=8 p=0.106 N.S. | ||||||||||
₹15,000–₹30,000 | 19 | 7.6 | 22 | 8.8 | 50 | 20.0 | 44 | 17.6 | 62 | 24.8 | |
₹30,000–₹45,000 | 1 | 0.4 | 4 | 1.6 | 6 | 2.4 | 11 | 4.4 | 7 | 2.8 | |
More than ₹45,000 | 3 | 1.2 | 4 | 1.6 | 11 | 4.4 | 4 | 1.6 | 2 | 0.8 | |
Educational Qualification | 2=6.514 df=8 p=0.590 N.S. | ||||||||||
ANM | 3 | 1.2 | 4 | 1.6 | 5 | 2.0 | 9 | 3.6 | 15 | 6.0 | |
Diploma in Nursing | 19 | 7.6 | 24 | 9.6 | 60 | 24.0 | 47 | 18.8 | 54 | 21.6 | |
Bachelor of Science in Nursing (B.Sc. or P.B.B.Sc.) | 1 | 0.4 | 2 | 0.8 | 2 | 0.8 | 3 | 1.2 | 2 | 0.8 | |
Postgraduate (M.Sc. Nursing or higher) | - | - | - | - | - | - | - | - | - | - | |
Family Type | 2=12.876 df=8 p=0.116 N.S. | ||||||||||
Nuclear family | 14 | 5.6 | 22 | 8.8 | 48 | 19.2 | 48 | 19.2 | 42 | 16.8 | |
Joint family | 8 | 3.2 | 8 | 3.2 | 19 | 7.6 | 11 | 4.4 | 28 | 11.2 | |
Extended family | 1 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | |
Number of Children | 2=6.569 df=8 p=0.584 N.S. | ||||||||||
0 | 17 | 6.8 | 16 | 6.4 | 41 | 16.4 | 29 | 11.6 | 40 | 16.0 | |
1 | 1 | 0.4 | 6 | 2.4 | 12 | 4.8 | 15 | 6.0 | 13 | 5.2 | |
More than 2 | 5 | 2.0 | 8 | 3.2 | 14 | 5.6 | 15 | 6.0 | 18 | 7.2 | |
Experience of the Nurses Working in Intensive Care Unit | 2=14.259 df=12 p=0.284 N.S. | ||||||||||
1 – 5 years | 19 | 7.6 | 27 | 10.8 | 52 | 20.8 | 46 | 18.4 | 59 | 23.6 | |
6 – 10 years | 0 | 0 | 1 | 0.4 | 9 | 3.6 | 4 | 1.6 | 7 | 2.8 | |
11 – 15 years | 2 | 0.8 | 2 | 0.8 | 1 | 0.4 | 2 | 0.8 | 2 | 0.8 | |
More than 15 years | 2 | 0.8 | 0 | 0 | 5 | 2.0 | 7 | 2.8 | 3 | 1.2 | |
Number of Working Hours | 2=11.803 df=8 p=0.160 N.S. | ||||||||||
6 hours | 7 | 2.8 | 11 | 4.4 | 24 | 9.6 | 13 | 5.2 | 18 | 7.2 | |
8 hours | 16 | 6.4 | 15 | 6.0 | 37 | 14.8 | 42 | 16.8 | 51 | 20.4 | |
12 hours | 0 | 0 | 4 | 1.6 | 6 | 2.4 | 4 | 1.6 | 2 | 0.8 | |
Current Department/Unit | 2=10.921 df=12 p=0.536 N.S. | ||||||||||
Critical care unit | 7 | 2.8 | 16 | 6.4 | 28 | 11.2 | 20 | 8.0 | 20 | 8.0 | |
Specialized area | 7 | 2.8 | 8 | 3.2 | 19 | 7.6 | 18 | 7.2 | 20 | 8.0 | |
Gynaecology / Obstetrics | 1 | 0.4 | 1 | 0.4 | 3 | 1.2 | 6 | 2.4 | 8 | 3.2 | |
General ward | 8 | 3.2 | 5 | 2.0 | 17 | 6.8 | 15 | 6.0 | 23 | 9.2 | |
N.S.: Non-Significant
Table 6 presents the link between demographic characteristics and work engagement levels of staff nurses. Males (χ² = 10.112, p = 0.039) were the only variable that had a statistically significant association with work engagement. Female nurses disclosed higher levels of engagement than male nurses. Nevertheless, this result should be taken carefully because of the imbalanced gender composition of the sample. No significant relationships were found between work engagement and other demographic variables such as age, marital status, income, education, family type, number of children, work experience, working hours, and department (p > 0.05).
DISCUSSION
The present study extends existing literature not by establishing a new relationship but by contextualizing it within a high-demand tertiary care environment and identifying family-related determinants as significant contributors. The study found that staff nurses reported moderate to high levels of work–life balance and moderate to high levels of work engagement. A statistically significant moderate positive correlation (r = 0.427, p < 0.001) was found between work–life balance and work engagement, indicating that better work–life balance is associated with higher work engagement in their work.
This cross-sectional study examined the relationship between work–life balance and work engagement among staff nurses working in a tertiary care center. The results demonstrated that most nurses indicated a high level of work–life balance and moderate to very high work engagement, which suggests that their overall experience at work was positive even though the clinical setting was demanding. However, the cross-sectional design limits the ability to establish a causal relationship between these variables.
Recent research highlights the importance of work-life balance in predicting nurses' work engagement, particularly in highly stressful clinical environments. Articles published in the last couple of years document that if organizations provide support through work environments, flexible working timetables, and sufficient psychological assistance, nurses will have higher work engagement and lesser burnout levels (Abuhammad et al., 2025; Jotare et al., 2025). The results show that work-life balance is not just the individual duty of nurses but equally their organizational support. Creating a conducive work environment with supportive conditions is a key factor in retaining nursing staff and in the provision of quality patient care.
Thus, H1 was supported, indicating that nurses who manage to harmonize their work and personal lives effectively are generally more energetic, committed, and deeply involved in their work. This finding is consistent with earlier studies that have shown a well-maintained work-life balance to be a motivating factor for the healthcare workers' engagement (De Simone et al., 2018; Fukuzaki et al., 2021). In fact, some data indicate that work-life balance acts as a positive factor in work engagement via family-to-work spillover and serves as a mediator in nurses' intentions to stay at their jobs.
The positive relationship between work-life balance and work engagement observed in this study is consistent with previous findings (Fukuzaki et al., 2021; Rony et al., 2023). This study sheds light on the very important influence of family aspects such as family composition and number of children in the Indian tertiary care setting, which has received limited attention in previous research. The data revealed that, of all the aspects of work engagement, dedication had a much higher mean than the other two aspects, absorption and vigor. A possible explanation would be that nurses keep their emotional bond with the profession even at times when they are under pressure at work, and this finding is consistent with previous nursing research where intrinsic motivation and professional commitment have been identified as the main elements of the nursing profession (Alasiry et al., 2025).
The study has pinpointed the family types and the number of children as the major factors that affect work-life balance. Based on these findings, H2 was partially accepted for family type and number of children and not supported for the remaining demographic variables. Nurses from a nuclear family background and those without children indicate that their work-life balance is better; probably, they have fewer household chores, and thus, they have more time for recovery. These findings support previously published studies that revealed family pressure as the major factor leading to work-family conflict and the failure to achieve work-life balance among nurses (Yao et al., 2024). Additionally, recent evidence suggests that work–life balance plays a crucial role in improving psychological well-being and job satisfaction, which further supports nurses’ ability to manage both professional and personal responsibilities effectively (Zhang et al., 2024).
Gender was significantly related to work engagement, as female nurses were more engaged. But such a finding needs to be interpreted with caution since the majority of the sample was female (87.6% female, 12.4% male), and the uneven sizes of the groups can be one of the reasons for the observed difference in gender. H3 was partially accepted only for gender and not for other demographic variables. Studies published earlier have also shown that female nurses tend to
exhibit greater engagement and organizational commitment, especially if they are backed up by work environments that are conducive and pleasant (Nakagawa et al., 2025). Our results of female engagement being higher align only partially with the research literature, although they are limited due to the small male sample (n=31, 12.4%).
The overall findings are consistent with the Job Demands-Resources (JD-R) model, which suggests that personal resources such as work-life balance are very important in increasing work engagement even when job demands are high. Organizational strategies promoting flexible scheduling, supportive supervision, and equitable workload distribution in tertiary care settings could help nurses to maintain a work-life balance, remain engaged, and be retained.
Limitations
This research used a cross-sectional study method that did not allow for a cause-and-effect relationship between work-life balance and work engagement. Moreover, the findings of the study could have limited generalizability, as it was conducted at a single tertiary care center and the sample was selected through convenience sampling. Additionally, a self-report questionnaire might have caused the participants to be prevalent, particularly in how they shape the expectations and roles of caregivers within families. i.e., give socially desirable answers. The research work failed to address other organizational as well as psychological factors that could have a profound impact on work-life balance and engagement.
Future Scope
Future research is encouraged to use longitudinal designs to monitor the changes in engagement over time. Studies comparing public and private tertiary care centers would be very valuable and could reveal more detailed aspects. Moreover, research studies that involve interventions to test how effective specific organizational policies (such as flexible rostering or on-site childcare) are in fostering nurse engagement are highly suggested.
CONCLUSION
The study found a significant positive association between work–life balance and work engagement among staff nurses. Family-related factors significantly influenced work–life balance, while gender showed an association with work engagement, which should be interpreted cautiously. These findings suggest the need for organizational strategies to support nurses in balancing professional and personal roles.
CRediT Authorship Contribution Statement
K.B: Conceived the idea, conducted the study and wrote the original version of the manuscript. H.S.J.C: Supervised the project and reviewed and edited the manuscript.
AI Assistance Declaration
The authors used AI-based tools for grammar and language editing. The scientific content, analysis, and conclusions are entirely the work of the authors.
Conflict of Interest
The authors declare that they have no competing interests.
ACKNOWLEDGEMENT
The authors would like to thank all the respondents who had taken the time to engage in the study.
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