Next Article in Journal
One-Year Impact of COVID-19 Lockdown-Related Factors on Cardiovascular Risk and Mental Health: A Population-Based Cohort Study
Next Article in Special Issue
Utilizing a Team Kinesiology Model to Support Rehabilitative Care in Patients
Previous Article in Journal
Regional Odontodysplasia: A Systematic Review of Case Reports
Previous Article in Special Issue
768-km Multi-Stage Ultra-Trail Case Study-Muscle Damage, Biochemical Alterations and Strength Loss on Lower Limbs
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 3
10.3390/ijerph19031685
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems

by
Svein Barene
1,* and
Peter Krustrup
2,3,4
1
Department of Public Health and Sport Sciences, Inland Norway University of Applied Sciences, 2418 Elverum, Norway
2
Department of Sports Science and Clinical Biomechanics, Sport and Health Sciences Cluster (SHSC), University of Southern Denmark, 5230 Odense, Denmark
3
Danish Institute for Advanced Study (DIAS), University of Southern Denmark, 5230 Odense, Denmark
4
Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter EX1 2LU, UK
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(3), 1685; https://doi.org/10.3390/ijerph19031685
Submission received: 17 December 2021 / Revised: 25 January 2022 / Accepted: 29 January 2022 / Published: 1 February 2022
(This article belongs to the Special Issue Impact of Exercise and Sports on Health)
Browse Figures
Versions Notes

Abstract

:
Background: This 40-weeks intervention study evaluates the effects on self-reported health status, emotional wellbeing, general self-efficacy and sleep problems among female hospital employees. Methods: 107 employees were cluster-randomized into three groups; football (FG), Zumba (ZG) and control (CG). Outcome measurements were conducted at baseline, 12 and 40 weeks. Weekly training frequencies in the first 12 and next 28 weeks were 2.4 ± 0.3 and 0.8 ± 0.2 in FG and 2.3 ± 0.3 and 0.9 ± 0.2 in ZG. Results: Compared to the CG, the ZG showed significant improvement in self-reported health status (p = 0.025), a reduced frequency of poor and restless sleep (on a 0–4 scale) (p = 0.004), as well as a tendency for reduction in the frequency of problems falling asleep (p = 0.055) and overall sleep problems (p = 0.051). Between baseline and 12 weeks, both the FG (p = 0.017) and the ZG (p = 0.017) showed within-group improvements in emotional wellbeing, whereas this improvement was maintained only in the ZG between baseline and 40 weeks (p = 0.002). The FG showed a significant within-group improvement in general self-efficacy (p = 0.012) between baseline and 12 weeks follow-up, with no such improvements in the other groups. Conclusion: The present findings revealed that a physical activity intervention with Zumba as well as football training may improve mental health and sleep outcomes in female hospital staff.

1. Introduction

A healthy nursing staff is crucial for optimal healthcare [1,2]. However, it has proved challenging to maintain good health among nurses, as this occupational group is considered as one of the most stressful occupations, comprising a relatively high proportion of high physical and mental work demands [3,4,5]. A worrying consequence of this is the increasing shortage of nurses worldwide [6], which emphasizes the importance of improving physical and mental health in this occupational group [7,8].
In general, a positive self-perceived health status is considered important for performing well at work [9], while poor self-assessed health is associated with the intention to leave the profession [10,11]. With reference to this, it is suggested that good emotional wellbeing may influence both positive adaptions to occupational stress, as well as satisfactory clinical competences in nurses [12], and that the ability of nurses to maintain their emotional wellbeing and to work effectively contributes to the retention of experienced staff [13]. Another factor regarding the importance for nurses’ mental health is self-efficacy, generally defined as judgment of ‘how well one can execute courses of action required to deal with prospective situations’ [14]. Previous studies have demonstrated that higher levels of self-efficacy, coupled with social support, facilitate healthier lifestyles and healthier coping behaviors for employees in high stress professions, such as nursing [15].
Poor sleep quality appears to be common in nursing staff, which partly has been explained by occupational stress [16,17] and work demands [18]. In previous, several studies have suggested that nurses’ sleep disorders not only influence their own health but also affect nursing quality and even the patients’ psychological health and treatment process [16,19,20]. Considering its negative impact on health, there is a need for effective measures that can help prevent sleep problems, in relation to sleep time and sleep perception, in this occupational group [21].
According to previous systematic reviews, it has been suggested that participation in football training may have positive effects on mental well-being among people with mental illness [22], whereas Zumba training is suggested to improve physical functioning in terms of quality of life [23]. Based on our knowledge, however, there are few previous intervention studies evaluating the effects of football and Zumba on psychological health outcomes among occupational groups with documented work-related mental health challenges. Through four previously published papers on football and Zumba training among female hospital staff, we have demonstrated positive effects of both training types on physical capacity and physiological health [24,25], musculoskeletal pain degree [26] as well as muscle strength, lean mass and postural balance [27]. Therefore, as previous research has indicated a positive association between physical activity and both self-reported health status [28,29], emotional wellbeing [30,31], self-efficacy [32] and sleep [33,34,35], the aim of the present study was to examine the effect from 12 and 40 weeks of football and Zumba training, respectively, on these outcomes among female hospital staff.

2. Materials and Methods

2.1. Study Design

The present 40-week randomized controlled training intervention among hospital employees at a larger Norwegian Hospital was performed between January and October 2011. The inclusion criteria for participation were hospital employees of either sex aged 25 to 65 years, with pregnancy, angina pectoris and life-threatening diseases as exclusion criteria. However, due to a minority of participating males, only females were included in the statistical analyses. The project, and all participants, gave their written informed consent to participate in the study.

2.2. Recruitment of Participants

The recruitment process was previously presented [24]. In short, out of a total of 660 female hospital staff, 161 completed the initial screening questionnaire. Of these, 109 females completed the baseline tests, whereas 107 fulfilled the inclusion criteria and consented to participate in the study with subsequent random allocation either to a football group, a Zumba group or a control group (Figure 1).

2.3. Randomization Procedure

The randomization procedure was previously reported [24]. In short, the department with the largest number of participants (n = 28) formed cluster 1, which became the basis for the composition of cluster 2 (n = 27) and cluster 3 (n = 28) that were matched on sex, BMI, age and work seniority. The remaining consenters were assigned into three smaller clusters, cluster A (n = 7), B (n = 8) and C (n = 9) and were matched on the same variables as above. The randomization was performed by the project manager by drawing lots according to the following procedure; the football group: cluster 3 + C (n = 37), the Zumba group: cluster 2 + B (n = 35) and the control group: cluster 1 + A (n = 35) [24].

2.4. Intervention Content

The design of the training intervention has been described in previous work [25]. Briefly, all training sessions were conducted outside working hours. During the first 12 weeks, both intervention groups were offered three 1 h training sessions per week, with the opportunity of two 1 h sessions during the last 28 weeks. Participants in both intervention groups had little or no previous experience with the activities. The football sessions were facilitated as small-sided games in a traditional gymnastics hall (10 m × 20 m) at the hospital, as well as in a municipal sports hall (20 m × 40 m) located close to the hospital. The Zumba sessions were conducted at a fitness center close to the hospital and were supervised by certified instructors.

2.5. Measurement Procedures Pre, during and Post the Intervention

The participants were invited to take several measurements at baseline (January 2011) and at follow-up tests after 12 (April 2011) and 40 weeks (October 2011), respectively. In addition to the online questionnaire, all of the three test rounds consisted of the following five measurements (followed by reference to the respective papers in parentheses):
(1) Venous blood samples obtained from the antecubital vein using Vacuette EDTA and serum tubes (Greiner Bio-One, Kremsmünster, Austria). Serum glucose, triglycerides, total cholesterol, direct LDL-cholesterol and HDL-cholesterol were analyzed on an ADVIA 1800 instrument from Siemens (Siemens Diagnostics, Tarrytown, NY, USA). Serum osteocalcin was quantified using a commercially available enzyme-linked immunosorbent assay kit with antibodies specific to the N-terminal region and N-terminal-mid fragment amino acid sequences (Immunodiagnostic Systems Ltd., Boldon, UK). Serum leptin was measured using AlphaLISA assay kits (Perkin Elmer, Waltham, MA, USA), with luminescence recorded using an EnSpire 2300-001L plate reader (Perkin Elmer) [24,25].
(2) Total body and regional fat, muscle, and bone mass were determined by dual-energy X-ray absorptiometry scans (QDR Discovery Wi, Hologic Inc, Bedford, MA, USA) [24,25].
(3) Systolic and diastolic blood pressure was measured after 10 min resting in a supine position on the left arm by an automatic upper arm blood pressure monitor (HEM-709; OMRON, Vernon Hills, IL, USA). An average from the two (of a total of four) lowest values of blood pressure was used for the statistical analyses [24,25].
(4) Pulmonary gas exchange (VMAX Spectra Series, SensorMedics Corporation, Yorba Linda, CA, USA), heart rate (Polar Team System, Polar Electro Oy, Kempele, Finland) and blood lactate (LactatePro™ LT-1710, ARKRAY, Inc, Kyoto, Japan) were obtained during a standardized bicycle test with submaximal cycling for 6 min (100 W), followed by a 2 min rest period, and then a test to exhaustion starting with 2 min at 80 W followed by increments of 30 W/30 s. The VO2 peak and maximal heart rate was determined as the peak value reached in a 40 s and 15 s period, respectively, during the last part of the incremental test [24,25].
(5) Isometric muscle strength was measured with Newtest Isometric Force System dynamometer (Newtest, Oy, Oulu, Finland), and included measurements of neck extension, trunk flexion and extension and leg extension. Measurements of the maximal jump height were performed on a force platform (OR6-5-2000, AMTI, Watertown, MA, USA), and data were collected at 1000 Hz, with the real time displayed and saved with the use of computer software (NetForce 2.0, AMTI, Watertown, MA, USA) for later analyses [27].

2.6. Self-Reported Health Status

Self-rated health was measured using the single-item question: ‘How would you rate your health in general?’ derived from the Rand 36-Item Health Survey [36] containing a 5-point Likert scale with the following options: ‘poor’ (1), ‘fair’ (2), ‘good’ (3), ‘very good’ (4), and ‘excellent’ (5).

2.7. Emotional Wellbeing

The measure of emotional wellbeing was derived from the RAND 36-item Health Survey [36], comprising the following five items: (i) ‘have you been a very nervous person?’, (ii) ‘have you felt so down in the dumps that nothing could cheer you up?’, (iii) ‘have you felt calm and peaceful?’, (iv) ‘have you felt downhearted and blue?’, and (v) ‘have you been a happy person?’. Each item contained a 5-point Likert scale with the subsequent options: (i) ‘all of the time’ (1), (ii) ‘most of the time’ (2), (iii) ‘a good bit of the time’ (3), (iv) ‘some of the time’ (4), (v) ‘a little bit of the time’ (5), and (vi) ‘none of the time’ (6). Prior to averaging the items, they were recoded as follows; items (ii), (iii) and (iv): 1 = 0%, 2 = 20%, 3 = 40%, 4 = 60%, 5 = 80% and 6 = 100%, whereas items (i) and (iv) were oppositely recoded, i.e.,: 1 = 100%, 2 = 80%, 3 = 60%, 4 = 40%, 5 = 20%, and 6 = 100%. A high average score defines a more favorable emotional wellbeing on a scale from 0 to 100%.

2.8. General Self-Efficacy

To be able to examine the effects on general self-efficacy, the three following items from the original ten-item scale by Schwarzer [37] were used: (i) ‘I feel confident that I can handle unexpected events’, (ii) ‘when I have a problem, I can usually find several ways of solving it’, and (iii) ‘regardless of what happens, I usually manage’. Each item contained a 5-point Likert scale with the following options: ‘never’ (1), ‘rarely’ (2), ‘sometimes’ (3), ‘often’ (4), and ‘always’ (5). A total score was calculated based on the average score of the three items.

2.9. Sleep

Self-reported sleep problems during the past three months were assessed using the following four single-items derived from a modified version of the Karolinska Sleep Questionnaire [38]: (i) ‘how often did you have problems falling asleep?’, (ii) ‘how often did you wake up too early and could not fall asleep again?’, (iii) ‘how often did you wake up several times and were unable to fall asleep again?’, and (iv) ‘how often was your sleep poor and disturbed?’ [39]. The disturbed sleep score was ranged on 5-point Likert scale comprising the following options: ‘never’ (1), ‘rarely’ (2), ‘sometimes’ (3), ‘very often’ (4), and ‘always’ (5). High scores represent poorer sleep. In addition to the four single-item scales, the total score of sleep problems was calculated as the average score of the four items.

2.10. Statistical Analyses

All statistical analyses were performed using SPSS version 27.0. Prior to the study, an effect calculation was performed for the primary outcome, VO2 peak. The power was set to 0.8 with an alpha level of 0.05. Based on previous similar studies [28,40,41], the effect size was set at 5% with a variation of the effect of 10. The estimates revealed that 32 participants were needed in each group for comparison between each respective intervention group and the control group. Our main objective was to evaluate the between-group differences on the dependent variables comparing the intervention groups, i.e., the football group and the Zumba groups, respectively, with the control group. The linear mixed model analyses were used to model each outcome measure at three time points [42], i.e., baseline, 12 weeks and 40 weeks. In the analyses, the delta values calculated between the three timepoints were used as the dependent variables. Due to a tendency for difference in the baseline body mass index (BMI) between one of the intervention groups and the control group, BMI was used as a fixed factor, in addition to the baseline values for the best model-fit [43]. All results are reported as descriptive data and 95% CIs for all possible comparisons, with p < 0.05 defined as the level of statistical significance.

3. Results

3.1. Baseline Characteristics

The age, body mass index (BMI) and job seniority of the participants included in the baseline questionnaire were, on average, 46.1 ± 9.2 years, 25.4 ± 3.1 kg/m2 and 74.5 ± 64.7 months, respectively (Table 1). No significant between-group differences were observed at baseline. Self-reported physical activity level the past 12 months measured on a Likert scale from 1 (being almost completely inactive) to 4 (regular hard physical training several times per week) revealed an overall average of 2.5 ± 0.6, with no significant between-group differences (p = 0.68)

3.2. Training Frequency

As reported in a previous paper [24], the total number of training sessions during the first 12 weeks were 28.2 ± 6.0 (2.4 ± 0.5 per week) vs. 27.7 ± 4.0 (2.3 ± 0.3 per week) in the football group and the Zumba group, respectively, whereas the corresponding participation during the last 28 weeks in the two respective groups were 24.4 ± 5.7 (0.9 ± 0.2 per week) vs. 19.8 ± 4.9 (0.8 ± 0.2 per week) [25]. This corresponds to a reduced training frequency of 63% and 65% in the football group and the Zumba group, respectively.

3.3. Self-Reported Health Status

Based on the linear mixed model analyses, the Zumba group revealed a significant higher overall mean in self-reported health status (on a Likert scale from 0–4) during the 40 weeks intervention period in comparison to the controls (0.16, 95% CI 0.02 to 0.30, p = 0.025), with no such improvement in the football group compared to the controls (p = 0.585) (Table 2/Figure 2). In the Zumba group, a corresponding within-group increase in self-reported health status was observed both between baseline and 12 (0.30, 95% CI 0.07 to 0.52, p = 0.011) and 40 (0.34, 95% CI 0.11 to 0.58, p = 0.005) weeks (Figure 3a), respectively, whereas no such within-group changes were found for either the football group or the controls (Table 2).

3.4. Emotional Wellbeing

With regard to the multi-item scaled measure of emotional wellbeing, no significant between-group difference in the overall means was observed for either of the intervention groups compared to the controls, i.e., −0.10, 95% CI −1.81 to 1.62 (p = 0.913) and −0.24, 95% CI −1.94 to 1.47 (p = 0.786) in the football and the Zumba groups, respectively (Table 2). However, between baseline and 12 weeks, both the football group (3.27, 95% CI 0.58 to 5.95, p = 0.017) and the Zumba group (3.30, 95% CI 0.60 to 6.00, p = 0.017) revealed significant within-group changes (Figure 3b), with no such improvement in the controls (Table 2). Between baseline and 40 weeks, only the Zumba group showed a significant within-group change (4.44, 95% CI 1.62 to 7.26, p = 0.002), with a tendency for improvement in the football group (2.63, 95% CI −0.25 to 5.51, p = 0.073) (Figure 3b).

3.5. General Self-Efficacy

In comparison to the controls, no between-group differences were observed in terms of general self-efficacy (on a Likert scale from 1–5) for either the football group (0.03, 95% CI −0.04 to 0.10, p = 0.375) or the Zumba group (0.00, 95% CI −0.07 to 0.07, p = 0.933) (Table 2). However, in the football group a significant within-group change was observed between baseline and 12 weeks (0.15, 95% CI 0.03 to 0.26, p = 0.012) (Figure 3c), with no such within-group change observed in any of the other groups (Table 2).

3.6. Sleep

With regards to the frequency of poor and restless sleep during the past three months, the Zumba group significantly reduced the overall mean (on a 0–4 scale) over the 40 week intervention period compared to the controls (−0.27, 95% CI −0.45 to −0.09, p = 0.004) (Figure 4a), with no such difference between the football group and the control group (p = 0.296) (Table 2). In the Zumba group, this was supported by significant within-group decreases both between baseline and 12 weeks (p < 0.01), as well as between baseline and 40 weeks (p < 0.001). In addition, the football group revealed a significant within-group decrease in poor and restless sleep between baseline and 40 weeks (p < 0.05) (Table 2).
Furthermore, similar tendencies for between-group differences in the overall mean (on 0–4 scales) in favor of the Zumba group compared with the controls were revealed in the frequency of problems falling asleep (−0.17, 95% CI −0.33 to 0.00, p = 0.055) (Figure 4b), as well as in the total score of sleep problems (−0.14, 95% CI −0.29 to 0.00, p = 0.051) in the past three months (Figure 4c) over the 40-week intervention period. In the Zumba group these tendencies were supported by significant within-group reductions in both the frequencies of problems falling asleep (p < 0.001) and total sleep problems (p < 0.001) between baseline and 12 weeks and 40 weeks (Table 2). No between-group differences in either poor and restless sleep or in the total score of sleep problems in the past three months were observed in comparison to the football group and the controls (Table 2). However, the football group revealed significant within-group reduction in the frequency of problems falling asleep between baseline and 40 weeks (p < 0.05), without any improvements related to total score of sleep problems (Table 2).
No between-group differences in overall mean (on a 0–4 scale) were observed in either the frequency of waking up early without falling asleep again or the frequency of waking up several times during night with problems falling asleep again (Table 2). However, in the Zumba group, a tendency for reduction in the frequency of waking up too early without falling asleep again was observed between baseline and 12 weeks (p < 0.1) (Figure 5a), including significant within-group reductions in the frequency of waking up several times with problems falling asleep again both between baseline and 12 weeks (p < 0.01), as well as between baseline and 40 weeks (p < 0.05) (Figure 5b/Table 2).

4. Discussion

The main findings of the present study were that the participants in the Zumba group improved their overall mean score on self-reported health status, as well as reduced the frequency of poor and restless sleep, during the 40 weeks intervention period in comparison to the controls. With regards to emotional wellbeing, both the football group and the Zumba group showed significant improvements from baseline to 12 weeks follow-up, whereas only the Zumba group had a corresponding improvement between baseline and 40 weeks. Between baseline and 12 weeks, a significant within-group improvement in general self-efficacy was observed in the football group only. It should be emphasized that the training frequency was reduced by 65% and 63% for the Zumba and football group in the last 28 weeks compared to the first 12 weeks and that this may have affected the study outcomes.
In favor of the Zumba group, the linear mixed model analyses revealed a significant between-group difference in self-reported health status compared to the controls, which was supported by corresponding significant within-group changes between baseline and the two respective follow-ups in the Zumba group. This is in accordance with a previous nine months worksite physical exercise intervention comprising 1 h bi-weekly sessions (aerobic fitness and strength training), and also demonstrating improvement on perceived health status in female home care workers [28], as well as to previous cross-sectional studies demonstrating significant associations between recreational physical activity and self-reported health status [29,44,45].
With regards to general self-efficacy, no between-group differences were found for either of the intervention groups compared to the controls. However, the football group showed a significant within-group improvement between baseline and 12 weeks, which is in accordance with previous prospective studies, suggesting that physical activity may improve self-efficacy that, in turn, can lead to an increased perceived quality of life [32,46,47]. According to Bandura (1977), an improvement in self-efficacy will lead to previous barriers being considered as challenges [48]. However, the improvement in general efficacy in the football group was not maintained at 40 weeks of follow-up, which may be due to a ~63% reduction in training frequency when comparing the first 12 weeks with the last 28 weeks of the intervention.
In terms of sleep, the baseline measurements on self-reported sleep quality showed that our sample of female hospital staff did not suffer from sleep problems that have often been reported for this occupational group in previous studies [49,50]. Nonetheless, the Zumba group showed a significant reduction in the frequency of poor and restless sleep (on a 0–4 scale), as well as a clear tendency for a reduction in total sleep problems compared to the controls (p = 0.051), with corresponding within-group reductions between baseline and 12 and 40 weeks, respectively (p < 0.001). This is in line with a previous meta-analytical review reporting the moderate-to-strong positive effects of regular physical activity on overall sleep quality, and small-to-moderate beneficial effect on sleep onset latency [51]. Apart from within-group improvements (p < 0.05) in two of the four single-item questions, as well as a tendency for within-group improvement in total sleep between baseline and 40 weeks follow-up, the overall improvement in sleep was not as prominent for the football group compared to the Zumba group. In a previous cross-sectional study examining associations between self-reported sleep quality and exercise intensity, a significant lower prevalence of sleep problems was observed in those with moderate intensity levels, while there was no effect on sleep at either low or high intensity [34]. Given that the average intensity level was significantly higher (p < 0.05) in the football group compared to the Zumba group in the present study, this could potentially be an explanation for the lack of improvement in sleep in the football group.

Strength and Limitations

One of the strengths of the study is the use of randomized controlled design together with a relatively high response rate to the survey at the three respective measurement points at baseline (95%), 12 (84%) and 40 (64%) week follow-up. Potential limitations are the use of self-reported data and lack of control over the participants’ physical activity level during leisure which may represent bias to the results. In addition, the inclusion of females only in the statistical analyses could potentially constitute a weakness of the study. However, given that health care workers are a predominantly female workforce, as well as the low number of male participants (n = 11) with low probability of influencing the outcome variables, we consider this to be of minor importance. An additional potential weakness of the study is the lack of information on dietary habits, which is suggested to be associated with, for example, sleep quality.

5. Conclusions

The present study indicates that 40 weeks of Zumba training may improve perceived health status and sleep. Moreover, significant within-group improvements in general self-efficacy were observed for the football group after 12 weeks, whereas both the football group and the Zumba group showed significant within-group improvements in emotional wellbeing throughout the intervention period. Future studies may reveal whether larger long-term effects would be seen if the training frequency was kept high throughout the training intervention period.

Author Contributions

Conceptualization, S.B. and P.K.; methodology, S.B. and P.K.; formal analysis, S.B.; data curation, S.B.; writing—original draft preparation, S.B.; writing—review and editing, S.B. and P.K.; supervision, P.K.; project administration, S.B.; funding acquisition, S.B. and P.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and the study protocol was ethically approved by the Regional Committees for Medical and Health Research Ethics (REK), Norway (2010/2385-8). The project is registered in the International Standard Randomized Controlled Trial Number Register (ISRCTN61986892).

Informed Consent Statement

Written informed consent was obtained from all the participants involved in the study.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

Andreas Holtermann, Dora Barene, Harald Oseland and Ingrid Haugen are greatly acknowledged. Furthermore, we are grateful for the grants allocated from the University of Nordland, Nordland Hospital, the Municipality of Bodø and the Stamina Fitness Centre.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Penque, S. Mindfulness to promote nurses’ well-being. Nurs. Manag. 2019, 50, 38–44. [Google Scholar] [CrossRef] [PubMed]
  2. Brand, S.L.; Thompson Coon, J.; Fleming, L.E.; Carroll, L.; Bethel, A.; Wyatt, K. Whole-system approaches to improving the health and wellbeing of healthcare workers: A systematic review. PLoS ONE 2017, 12, e0188418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Jamali, J.; Roustaei, N.; Ayatollahi, S.M.T.; Sadeghi, E. Factors Affecting Minor Psychiatric Disorder in Southern Iranian Nurses: A Latent Class Regression Analysis. Nurs. Midwifery Stud. 2015, 4, 29–35. [Google Scholar] [CrossRef] [PubMed]
  4. Pisaniello, S.L.; Winefield, H.R.; Delfabbro, P.H. The influence of emotional labour and emotional work on the occupational health and wellbeing of South Australian hospital nurses. J. Vocat. Behav. 2012, 80, 579–591. [Google Scholar] [CrossRef]
  5. Mohanty, A.; Kabi, A.; Mohanty, A.P. Health problems in healthcare workers: A review. J Fam. Med. Prim. Care 2019, 8, 2568–2572. [Google Scholar] [CrossRef]
  6. Lin, P.-Y.; MacLennan, S.; Hunt, N.; Cox, T. The influences of nursing transformational leadership style on the quality of nurses’ working lives in Taiwan: A cross-sectional quantitative study. BMC Nurs. 2015, 14, 1–9. [Google Scholar] [CrossRef] [Green Version]
  7. Gao, T.; Ding, X.; Chai, J.; Zhang, Z.; Zhang, H.; Kong, Y.; Mei, S. The influence of resilience on mental health: The role of general well-being. Int. J. Nurs. Pract. 2017, 23, e12535. [Google Scholar] [CrossRef]
  8. Yu, F.; Cavadino, A.; Mackay, L.; Ward, K.; King, A.; Smith, M. Physical activity and personal factors associated with nurse resilience in intensive care units. J. Clin. Nurs. 2020, 29, 3246–3262. [Google Scholar] [CrossRef]
  9. De Oliveira, D.R.; Griep, R.H.; Portela, L.F.; Rotenberg, L. Intention to leave profession, psychosocial environment and self-rated health among registered nurses from large hospitals in Brazil: A cross-sectional study. BMC Health Serv. Res. 2017, 17, 1–10. [Google Scholar] [CrossRef] [Green Version]
  10. Hasselhorn, H.-M.; Tackenberg, P.; Kuemmerling, A.; Wittenberg, J.; Simon, M.; Conway, P.; Bertazzi, P.; Beermann, B.; Büscher, A.; Camerino, D. Nurses’ health, age and the wish to leave the profession--findings from the European NEXT-Study. La Med. Del Lav. 2006, 97, 207–214. [Google Scholar]
  11. Josephson, M.; Lindberg, P.; Voss, M.; Alfredsson, L.; Vingård, E. The same factors influence job turnover and long spells of sick leave—a 3-year follow-up of Swedish nurses. Eur. J. Public Health 2008, 18, 380–385. [Google Scholar] [CrossRef] [Green Version]
  12. Cruz, J.P. Quality of life and its influence on clinical competence among nurses: A self-reported study. J. Clin. Nurs. 2017, 26, 388–399. [Google Scholar] [CrossRef]
  13. Siffleet, J.; Williams, A.M.; Rapley, P.; Slatyer, S. Delivering best care and maintaining emotional wellbeing in the intensive care unit: The perspective of experienced nurses. Appl. Nurs. Res. 2015, 28, 305–310. [Google Scholar] [CrossRef]
  14. Bandura, A. Self-efficacy mechanism in human agency. Am. Psychol. 1982, 37, 122. [Google Scholar] [CrossRef]
  15. Jordan, T.R.; Khubchandani, J.; Wiblishauser, M. The Impact of Perceived Stress and Coping Adequacy on the Health of Nurses: A Pilot Investigation. Nurs. Res. Pract. 2016, 2016, 5843256. [Google Scholar] [CrossRef] [Green Version]
  16. Han, Y.; Yuan, Y.; Zhang, L.; Fu, Y. Sleep disorder status of nurses in general hospitals and its influencing factors. Psychiatr. Danub. 2016, 28, 176–183. [Google Scholar]
  17. Rocha, M.C.P.D.; Martino, M.M.F.D. Stress and sleep quality of nurses working different hospital shifts. Rev. Esc. Enferm. USP 2010, 44, 280–286. [Google Scholar] [CrossRef] [Green Version]
  18. Geiger-Brown, J.; Trinkoff, A.; Rogers, V.E. The Impact of Work Schedules, Home, and Work Demands on Self-Reported Sleep in Registered Nurses. J. Occup. Environ. Med. 2011, 53, 303–307. [Google Scholar] [CrossRef]
  19. Feleke, S.A.; Mulatu, M.A.; Yesmaw, Y.S. Medication administration error: Magnitude and associated factors among nurses in Ethiopia. BMC Nurs. 2015, 14, 1–8. [Google Scholar] [CrossRef] [Green Version]
  20. Tarhan, M.; Aydın, A.; Ersoy, E.; Dalar, L. The sleep quality of nurses and its influencing factors. Eurasian J. Pulmonol. 2018, 20, 78–84. [Google Scholar] [CrossRef]
  21. Zeng, L.-N.; Yang, Y.; Wang, C.; Li, X.-H.; Xiang, Y.-F.; Hall, B.J.; Ungvari, G.S.; Li, C.-Y.; Chen, C.; Chen, L.-G.; et al. Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies. Behav. Sleep Med. 2020, 18, 746–759. [Google Scholar] [CrossRef] [PubMed]
  22. Friedrich, B.; Mason, O.J. “What is the score?” A review of football-based public mental health interventions. J. Public Ment. Health 2017, 16, 144–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Vendramin, B.; Bergamin, M.; Gobbo, S.; Cugusi, L.; Duregon, F.; Bullo, V.; Zaccaria, M.; Neunhaeuserer, D.; Ermolao, A. Health Benefits of Zumba Fitness Training: A Systematic Review. PM&R 2016, 8, 1181–1200. [Google Scholar] [CrossRef]
  24. Barene, S.; Krustrup, P.; Jackman, S.R.; Brekke, O.L.; Holtermann, A. Do soccer and Zumba exercise improve fitness and indicators of health among female hospital employees? A 12-week RCT. Scand. J. Med. Sci. Sports 2013, 24, 990–999. [Google Scholar] [CrossRef]
  25. Barene, S.; Krustrup, P.; Brekke, O.L.; Holtermann, A. Soccer and Zumba as health-promoting activities among female hospital employees: A 40-weeks cluster randomised intervention study. J. Sports Sci. 2014, 32, 1539–1549. [Google Scholar] [CrossRef]
  26. Barene, S.; Krustrup, P.; Holtermann, A. Effects of the workplace health promotion activities soccer and Zumba on muscle pain, work ability and perceived physical exertion among female hospital employees. PLoS ONE 2014, 9, e115059. [Google Scholar] [CrossRef] [Green Version]
  27. Barene, S.; Holtermann, A.; Oseland, H.; Brekke, O.-L.; Krustrup, P. Effects on muscle strength, maximal jump height, flexibility and postural sway after soccer and Zumba exercise among female hospital employees: A 9-month randomised controlled trial. J. Sports Sci. 2016, 34, 1849–1858. [Google Scholar] [CrossRef]
  28. Pohjonen, T.; Ranta, R. Effects of Worksite Physical Exercise Intervention on Physical Fitness, Perceived Health Status, and Work Ability among Home Care Workers: Five-Year Follow-up. Prev. Med. 2001, 32, 465–475. [Google Scholar] [CrossRef]
  29. Kaleta, D.; Makowiec-Dabrowska, T.; Dziankowska-Zaborszczyk, E.; Jegier, A. Physical activity and self-perceived health status. Int. J. Occup. Med. Environ. Health 2006, 19, 61–69. [Google Scholar] [CrossRef] [Green Version]
  30. Penedo, F.J.; Dahn, J.R. Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Curr. Opin. Psychiatry 2005, 18, 189–193. [Google Scholar] [CrossRef]
  31. Aparicio, V.A.; Flor-Alemany, M.; Marín-Jiménez, N.; Coll-Risco, I.; Aranda, P. A 16-week concurrent exercise program improves emotional well-being and emotional distress in middle-aged women: The FLAMENCO project randomized controlled trial. Menopause 2021, 28, 764–771. [Google Scholar] [CrossRef]
  32. Elavsky, S.; McAuley, E.; Motl, R.W.; Konopack, J.F.; Marquez, D.X.; Hu, L.; Jerome, G.J.; Diener, E. Physical activity enhances long-term quality of life in older adults: Efficacy, esteem, and affective influences. Ann. Behav. Med. 2005, 30, 138–145. [Google Scholar] [CrossRef]
  33. Lang, C.; Brand, S.; Feldmeth, A.K.; Holsboer-Trachsler, E.; Pühse, U.; Gerber, M. Increased self-reported and objectively assessed physical activity predict sleep quality among adolescents. Physiol. Behav. 2013, 120, 46–53. [Google Scholar] [CrossRef]
  34. Litleskare, S.; Vaktskjold, A.; Barene, S. A cross-sectional study to examine the association between self-reported sleep and the frequency, duration and intensity of exercise. J. Sports Med. Phys. Fit. 2018, 58, 1635–1641. [Google Scholar] [CrossRef]
  35. Yang, P.-Y.; Ho, K.-H.; Chen, H.-C.; Chien, M.-Y. Exercise training improves sleep quality in middle-aged and older adults with sleep problems: A systematic review. J. Physiother. 2012, 58, 157–163. [Google Scholar] [CrossRef] [Green Version]
  36. Hays, R.D.; Sherbourne, C.D.; Mazel, R.M. The rand 36-item health survey 1.0. Health Econ. 1993, 2, 217–227. [Google Scholar] [CrossRef]
  37. Schwarzer, R. Measurement of perceived self-efficacy: Psychometric scales for cross-cultural research; Freie University: Berlin, Germany, 1993. [Google Scholar]
  38. Akerstedt, T.; Hume, K.; Minors, D.; Waterhouse, J. The meaning of good sleep: A longitudinal study of polysomnography and subjective sleep quality. J. Sleep Res. 1994, 3, 152–158. [Google Scholar] [CrossRef]
  39. Hansen, A.M.; Gullander, M.; Hogh, A.; Persson, R.; Kolstad, H.A.; Willert, M.V.; Bonde, J.P.; Kaerlev, L.; Rugulies, R.; Grynderup, M.B. Workplace bullying, sleep problems and leisure-time physical activity: A prospective cohort study. Scand. J. Work. Environ. Health 2016, 42, 26–33. [Google Scholar] [CrossRef] [Green Version]
  40. Dishman, R.K.; Oldenburg, B.; O’Neal, H.; Shephard, R.J. Worksite physical activity interventions. Am. J. Prev. Med. 1998, 15, 344–361. [Google Scholar] [CrossRef]
  41. Conn, V.; Hafdahl, A.; Cooper, P.; Brown, L.; Lusk, S. Meta-analysis of workplace physical activity interventions. Am. J. Prev. Med. 2009, 37, 330–339. [Google Scholar] [CrossRef] [Green Version]
  42. Diggle, P.J.; Heagerty, P.; Liang, K.-Y.; Zeger, S. Analysis of Longitudinal Data; Oxford University Press: Oxford, UK, 2002; pp. 33–113. [Google Scholar]
  43. Faraway, J.J. Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. In Chapman and Hall; CRC: Boca Raton, FL, USA, 2016; pp. 195–248. [Google Scholar]
  44. Okano, G.; Miyake, H.; Mori, M. Leisure Time Physical Activity as a Determinant of Self-Perceived Health and Fitness in Middle-Aged Male Employees. J. Occup. Health 2003, 45, 286–292. [Google Scholar] [CrossRef] [Green Version]
  45. Kull, M. The relationships between physical activity, health status and psychological well-being of fertility-aged women. Scand. J. Med. Sci. Sports 2002, 12, 241–247. [Google Scholar] [CrossRef]
  46. McAuley, E.; Doerksen, S.E.; Morris, K.S.; Motl, R.W.; Hu, L.; Wójcicki, T.R.; White, S.M.; Rosengren, K.R. Pathways from physical activity to quality of life in older women. Ann. Behav. Med. 2008, 36, 13–20. [Google Scholar] [CrossRef] [Green Version]
  47. Paxton, R.J.; Motl, R.W.; Aylward, A.; Nigg, C.R. Physical activity and quality of life—the complementary influence of self-efficacy for physical activity and mental health difficulties. Int. J. Behav. Med. 2010, 17, 255–263. [Google Scholar] [CrossRef]
  48. Bandura, A. Foreword. In Self-efficacy in Changing Societies; Cambridge University Press: New York, NY, USA, 1995. [Google Scholar] [CrossRef]
  49. Qiu, D.; Yu, Y.; Li, R.-Q.; Li, Y.-L.; Xiao, S.-Y. Prevalence of sleep disturbances in Chinese healthcare professionals: A systematic review and meta-analysis. Sleep Med. 2020, 67, 258–266. [Google Scholar] [CrossRef]
  50. Owens, J.A. Sleep Loss and Fatigue in Healthcare Professionals. J Perinat Neonatal Nurs. 2007, 21, 92–100. [Google Scholar] [CrossRef]
  51. Kredlow, M.A.; Capozzoli, M.C.; Hearon, B.A.; Calkins, A.W.; Otto, M.W. The effects of physical activity on sleep: A meta-analytic review. J. Behav. Med. 2015, 38, 427–449. [Google Scholar] [CrossRef]
Ijerph 19 01685 g001 550
Figure 1. Flow diagram showing the number of participants initially enrolled in the study and randomized to the three groups, as well as the number of drop-outs throughout the 40 weeks intervention period related to (i) the objective physiological measurements and (ii) the online questionnaire, respectively.
Figure 1. Flow diagram showing the number of participants initially enrolled in the study and randomized to the three groups, as well as the number of drop-outs throughout the 40 weeks intervention period related to (i) the objective physiological measurements and (ii) the online questionnaire, respectively.
Ijerph 19 01685 g001
Ijerph 19 01685 g002 550
Figure 2. Between-group differences in self-reported health status over 12 and 40 weeks.
Figure 2. Between-group differences in self-reported health status over 12 and 40 weeks.
Ijerph 19 01685 g002
Ijerph 19 01685 g003 550
Figure 3. Within-group changes over 12 and 40 weeks in self-reported health status (a); emotional wellbeing (b); and general self-efficacy (c). Significant within-group change denotes; ** (p < 0.01), * (p < 0.05), (*) (p < 0.1) tendency for change.
Figure 3. Within-group changes over 12 and 40 weeks in self-reported health status (a); emotional wellbeing (b); and general self-efficacy (c). Significant within-group change denotes; ** (p < 0.01), * (p < 0.05), (*) (p < 0.1) tendency for change.
Ijerph 19 01685 g003
Ijerph 19 01685 g004 550
Figure 4. Between-group differences over 12 and 40 weeks in self-reported frequency of poor and restless sleep (a); frequency of problems falling asleep (b); and total score of sleep problems (c).
Figure 4. Between-group differences over 12 and 40 weeks in self-reported frequency of poor and restless sleep (a); frequency of problems falling asleep (b); and total score of sleep problems (c).
Ijerph 19 01685 g004
Ijerph 19 01685 g005 550
Figure 5. Within-group changes over 12 and 40 weeks in frequency of waking up too early without falling asleep again (a); and frequency of waking up several times with problems falling asleep again (b). Significant within-group change denotes; ** (p < 0.01), * (p < 0.05), (*) (p < 0.1) tendency for change.
Figure 5. Within-group changes over 12 and 40 weeks in frequency of waking up too early without falling asleep again (a); and frequency of waking up several times with problems falling asleep again (b). Significant within-group change denotes; ** (p < 0.01), * (p < 0.05), (*) (p < 0.1) tendency for change.
Ijerph 19 01685 g005
Table
Table 1. Subject characteristics at baseline. The table presents age, anthropometry, physical activity level, self-reported health status, perceived emotional wellbeing, general self-efficacy, as well as self-reported sleep problems for the football group (n = 35), the Zumba group (n = 34), and the control group (n = 34), respectively. The p-values refer to comparisons between all groups.
Table 1. Subject characteristics at baseline. The table presents age, anthropometry, physical activity level, self-reported health status, perceived emotional wellbeing, general self-efficacy, as well as self-reported sleep problems for the football group (n = 35), the Zumba group (n = 34), and the control group (n = 34), respectively. The p-values refer to comparisons between all groups.
CharacteristicsFootball GroupZumba GroupControl GroupTotalp-Value
MeanSDMeanSDMeanSDMeanSD
Age (years)44.88.946.39.547.29.446.19.20.56
Body mass index (kg/m2)24.93.125.32.726.03.625.43.10.36
Physical activity level (1–4 scale)2.50.62.50.72.60.62.50.60.68
Self-reported health status (0–4 scale)2.830.792.880.732.970.762.890.750.74
Emotional wellbeing (0–100%)80.78.578.912.483.86.481.19.50.10
General self-efficacy (1–5 scale)4.010.464.040.374.090.364.050.400.71
Sleep problems past 3 months (0–4 scale)
 Poor and restless sleep1.310.961.441.161.240.921.331.010.70
 Problems falling asleep1.661.001.650.881.531.111.610.990.84
 Woke up too early without falling asleep again1.431.041.500.861.290.871.410.920.65
 Woke up several times and unable to fall asleep again1.770.881.740.831.530.961.680.890.48
 Total score of sleep problems1.540.781.580.751.400.831.510.780.60
Table
Table 2. Within-group changes and between-group differences in the soccer group (SG = 35), the Zumba group (ZG = 34) and the control group (CG = 34) during 12 and 40 weeks of training.
Table 2. Within-group changes and between-group differences in the soccer group (SG = 35), the Zumba group (ZG = 34) and the control group (CG = 34) during 12 and 40 weeks of training.
CharacteristicsWithin-Group ChangesBetween-Group Differences
SGZGCGSG Group vs. CGZG vs. CG
Change95% CIChange95% CIChange95% CIDiff.95% CISig.Diff.95% CIp-Value
Self-reported health (0–4 scale)
 0–12 weeks0.16−0.07 to 0.390.30 *0.07 to 0.520.07−0.16 to 0.300.04−0.10 to 0.180.5850.160.02 to 0.300.025
 0–40 weeks0.18−0.07 to 0.420.34 **0.11 to 0.580.00−0.25 to 0.26
Emotional wellbeing (0–100%)
 0–12 weeks3.27 *0.58 to 5.953.30 *0.60 to 6.000.99−1.69 to 3.67−0.10−1.81 to 1.620.913−0.24−1.94 to 1.470.786
 0–40 weeks2.63 (*)−0.25 to 5.514.44 **1.62 to 7.262.36−0.62 to 5.35
General self-efficacy (1–5 scale)
 0–12 weeks0.15 *0.03 to 0.26−0.02−0.13 to 0.10−0.03−0.14 to 0.080.03−0.04 to 0.100.3750.00−0.07 to 0.070.933
 0–40 weeks0.02−0.10 to 0.150.08−0.05 to 0.200.04−0.09 to 0.17
Sleep problems past 3 months (0–4 scale)
 Poor and restless sleep
  0–12 weeks−0.13−0.43 to 0.16−0.42 **−0.71 to −0.120.17−0.12 to 0.47−0.10−0.29 to 0.090.296−0.27−0.45 to −0.090.004
  0–40 weeks−0.37 *−0.69 to −0.05−0.55 ***−0.86 to −0.24−0.14−0.46 to 0.19
 Problems falling asleep
  0–12 weeks−0.18−0.45 to 0.09−0.48 ***−0.75 to −0.20−0.17−0.44 to 0.100.00−0.17 to 0.180.973−0.17−0.33 to 0.000.055
  0–40 weeks−0.36 *−0.66 to −0.07−0.54 ***−0.83 to −0.26−0.25−0.55 to 0.06
 Woke up too early without falling asleep again
  0–12 weeks0.08−0.24 to 0.39−0.30 (*)−0.62 to 0.020.01−0.30 to 0.330.06−0.14 to 0.260.525−0.08−0.28 to 0.120.423
  0–40 weeks−0.07−0.41 to 0.27−0.22−0.55 to 0.11−0.14−0.50 to 0.21
 Woke up several times with problems falling asleep again
  0–12 weeks−0.20−0.54 to 0.13−0.49 **−0.83 to −0.16−0.11−0.44 to 0.220.10−0.11 to 0.310.357−0.03−0.24 to 0.180.771
  0–40 weeks−0.22−0.58 to 0.14−0.40 *−0.74 to −0.05−0.48 *−0.85 to −0.11
 Total score of sleep problems
  0–12 weeks−0.10−0.33 to 0.13−0.41 ***−0.65 to −0.18−0.03−0.26 to 0.210.01−0.13 to 0.160.865−0.14−0.29 to 0.000.051
  0–40 weeks−0.24 (*)−0.49 to 0.00−0.42 ***−0.66 to −0.18−0.27 *−0.52 to −0.01
Within-group data are presented as mean change (95% CI) and between-group data as estimated overall mean difference (95% CI). Significant within-group change denotes; *** (p < 0.001), ** (p < 0.01), * (p < 0.05), (*) (p < 0.1) tendency for change.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Barene, S.; Krustrup, P. Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems. Int. J. Environ. Res. Public Health 2022, 19, 1685. https://doi.org/10.3390/ijerph19031685

AMA Style

Barene S, Krustrup P. Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems. International Journal of Environmental Research and Public Health. 2022; 19(3):1685. https://doi.org/10.3390/ijerph19031685

Chicago/Turabian Style

Barene, Svein, and Peter Krustrup. 2022. "Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems" International Journal of Environmental Research and Public Health 19, no. 3: 1685. https://doi.org/10.3390/ijerph19031685

APA Style

Barene, S., & Krustrup, P. (2022). Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems. International Journal of Environmental Research and Public Health, 19(3), 1685. https://doi.org/10.3390/ijerph19031685

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