Correlating physical activity and quality of life of healthcare workers

BMC Research Notes, Apr 2019

Objective The purpose of the present study was to investigate healthcare workers’ physical exercise levels linked to their quality of life. Healthcare workers’ from all departments of a General hospital participated in the study. The instruments used for data collection regarding quality of life and physical exercise (Short Form Health Survey (SF-36) and International Physical Activity Questionnaire-short form). Results Regarding the lack of physical exercise, the participants mainly put the blame on lack of free time (58%, n = 106), work hours (41% n = 75), but also pure negligence (37%, n = 67). The SF-36 scores showed that the existence of health problems can affect in a negative way and aggravate almost every quality of life parameter. Regarding physical activities in the past 7 days prior to the survey, most of them were about housekeeping and household-related chores (42.3%), followed by out-of-the-house errands (13.2%). There were also differences among mental health and postgraduate education level. According to our findings, a major factor that could boost healthcare professionals’ physical activity, is to increase knowledge and raise awareness about the benefits linked to physical activity.

A PDF file should load here. If you do not see its contents the file may be temporarily unavailable at the journal website or you do not have a PDF plug-in installed and enabled in your browser.

Alternatively, you can download the file locally and open with any standalone PDF reader:

https://link.springer.com/content/pdf/10.1186%2Fs13104-019-4240-1.pdf

Correlating physical activity and quality of life of healthcare workers

BMC Research Notes December 2019, 12:208 | Cite as Correlating physical activity and quality of life of healthcare workers AuthorsAuthors and affiliations Maria SaridiTheodora FilippopoulouGeorgios TzitzikosPavlos SarafisKyriakos SouliotisDespoina Karakatsani Open Access Research note First Online: 04 April 2019 119 Downloads Abstract Objective The purpose of the present study was to investigate healthcare workers’ physical exercise levels linked to their quality of life. Healthcare workers’ from all departments of a General hospital participated in the study. The instruments used for data collection regarding quality of life and physical exercise (Short Form Health Survey (SF-36) and International Physical Activity Questionnaire-short form). Results Regarding the lack of physical exercise, the participants mainly put the blame on lack of free time (58%, n = 106), work hours (41% n = 75), but also pure negligence (37%, n = 67). The SF-36 scores showed that the existence of health problems can affect in a negative way and aggravate almost every quality of life parameter. Regarding physical activities in the past 7 days prior to the survey, most of them were about housekeeping and household-related chores (42.3%), followed by out-of-the-house errands (13.2%). There were also differences among mental health and postgraduate education level. According to our findings, a major factor that could boost healthcare professionals’ physical activity, is to increase knowledge and raise awareness about the benefits linked to physical activity. KeywordsPhysical activity Physical exercise Quality of life Healthcare worker  Abbreviations PA physical activity METs metabolic equivalents SF-36 short form health survey QoL quality of life Introduction Physical activity (PA) is doubtlessly very important, since it has multiple beneficial effects on physical, mental and spiritual health and wellness. Physical exercise includes any muscular movement or activity that results in calorie loss [1]. Lack of PA is the cause of 6% of deaths worldwide, while a previous study had suggested that the correct percentage was 9% [2]. Despite the well-acknowledged benefits linked to physical exercise, a significant proportion of the global population remains physically inactive. The majority (80%) of adolescents aged 13–15 worldwide regularly fail to reach the targets proposed by the WHO; this proportion is even higher in EU-28, where 83% of teenagers (11–15) are physically inactive [1, 2]. In EU-28, 28.6% of the people do not engage in any kind of physical exercise, while 71.4% are active enough [2, 3]. In Greece, also a typical Mediterranean country, that percentage reached 38.1%, almost ten units above average. On the other hand, Western and Northern Europe had the lowest percentages of physical inactivity, the lowest scores came in from Sweden (12.4%), the Netherlands (14.9%) and Finland (15.9%) [3]. The new PA Strategy for the WHO European Region (2016–2025) seeks to initiate actions on every administrative level that could encourage people to exercise more throughout the life-course, regardless of their gender, age, income, nationality etc. [4]. Healthcare professionals make up a physically and mentally burdened group. Rotating work shifts, demanding tasks, together with family-related issues, make physical exercise hard to be planned and performed. Several studies have highlighted that healthcare professionals do not get enough exercise, but they also indulge in unhealthy food, alcohol abuse and are at a high risk of professional burnout [5, 6]. The aim of the present study was to investigate healthcare workers’ PA levels linked to their Quality of Life (QOL). Main text MethodsSample The sample consisted of 180 healthcare professionals working at the General Hospital of Corinth in Greece, from September to November 2016. Instruments The instruments used for data collection regarding quality of life and physical exercise were: a. The Short Form Health Survey (SF-36) questionnaire [7], measures health status, taking into account physical functioning and exercise, emotional and physical role functioning, mental health in general, social role functioning, body pain and general health.   b. The International Physical Activity Questionnaire-short form (self-administered 8-items) [8, 9], which measures days and minutes/day spent on moderate and vigorous activities as well as total walking time for 7 days. It consists of four PA indices: (1) PA during casual walking, (2) moderate-intensity activities, (3) vigorous-intensity activities, (4) total physical activity. The first three indices are calculated by multiplying days per week, minutes per day, and their respective METs (metabolic equivalents) [10]. Total PA is the sum of the above three. The questionnaire also includes demographics data and a question regarding sedentary activities.   Ethics The research protocol was approved by the Ethics Committee of the Hospital (Prot. numb. 284/2/09/2016). The participants signed informed consent forms and anonymity was strictly observed. Statistical analysis The SPSS 20 was used for the statistical analysis. For the quantitative variables the means, standard deviations (SDs) and medians were used. Absolute and relative frequencies were used for the qualitative variables. Pearson’s Chi squared test was used for comparison of proportions. Student’s t-test was used for the comparison of quantitative variables among two groups. For the comparison of quantitative variables among more than two groups, parametric analysis of variance (ANOVA) was the method of choice. The LSD correction was used for the post hoc data analysis. Pearson’s r was used for establishing correlation between two quantitative variables. The correlation is low when r is between 0.1 and 0.3, medium when r is between 0.31 and 0.5, and high if r > 0.5. Results The average age of the sample was 44 years (mean 44.6 ± 6.101), women made up the majority of the sample (84%), and finally most of the participants (> 60%) were of high educational level and married (74%). From a professional point of view, most of the participants belonged to the Nursing Dept. (61%), while regarding their financial situation, 61% (n = 111) thought of it as average, 26% (n = 48) as good, 9% (n = 17) as poor and 4% (n = 7) as very bad. The participants named health, family, and mental peace as the most important factors regarding their quality of life. One out of three of the participants (36%, n = 65) complained about medical conditions, and 26% of them (n = 47) reported long-term medication use. Regarding the reasons why the participants choose to work out, the main ones were fitness improvement (61.7%, n = 113), stress relief (58.5%, n = 107) and prevention of health problems (55.7%, n = 102). More specifically, most of the participants regarded body weight control as the most important factor (62.8%, n = 115), followed by ameliorating musculoskeletal disorders (40%, n = 73), improving respiratory problems (24%, n = 144), osteoporosis (18.6%, n = 34), blood glucose management (11%, n = 20), and hypertension (8.7%, n = 16). Regarding the lack of PA, the participants mainly put the blame on lack of free time (58%, n = 106), work hours (41%, n = 75), but also pure negligence (37%, n = 67), and the results showed also low scores on mental health compared to physical health (mean: 59.38 vs 66.49). Regarding the participants’ gender, females seemed to have statistically significant differences compared to males regarding Vitality (p = 0.049). The participants who chose mental peace as the most important factor for QoL, seemed to score higher physical role functioning too (p = 0.022, t = − 2.302). Those who chose Financial security scored very low on social role functioning (p = 0.016, t = 2.423). The ANOVA showed a significant difference among the participants’ education level and Physical Functioning (F: 2.710. p = 0.047), Physical Role (F: 3.824, p = 0.011), Mental Health (F: 4.723, p = 0.003) and overall Physical Health (F: 3.156, p = 0.26). The LSD post hoc test showed differences among physical functioning and first-level education (67.0 ± 18,73) and third-level education (82.49 ± 21.32, p = 0.024), as well as among primary education graduates and postgraduates (84.83 ± 17.053, p = 0.017). There were differences among mental health and postgraduate education level (66.06 ± 14.52), compared to primary education level (48.4 ± 11.99, p = 0.001), and secondary education level (57.82 ± 14.63, p = 0.014); there were also differences among primary and third level graduates (13.98 ± 4.95, p = 0.05). There were also differences among physical health and third-level education (70.26 ± 18.98), secondary education (62.21 ± 18.80. p = 0.013) and primary education (56.25 ± 15.31, p = 0.027), while primary education graduates scored lower than higher-level graduates. There were also significant differences in the Quality of Life (QoL) taking into account the participants’ financial situation. Those in an average financial situation (50.49 ± 37.50) score lower on Physical Role functioning, compared to those in good financial situation (68.22 ± 34.87, p = 0.007). Those in bad financial situation (37.14 ± 24.640) scored lower in Vitality (F: 3.813, p = 0.11), compared to those in average (53.40 ± 14.97, p = 0.008) and good financial situation respectively (57.55 ± 15.87, p = 0.002). Almost all of the participants surveyed (90.2%, n = 165) responded positively when asked whether they would like to work out every day. Regarding PA in the past 7 days prior to the survey, most of them were about housekeeping and household-related chores (42.3%), followed by out-of-the-house errands (13.2%). Physical intensity linked with work, commute and housekeeping does not seem to interfere with QoL (Table 1). Table 1 SF-36 variables comparing leisure time activities SF-36 variables F p PF 7.270 0.001 RE 2.269 0.106 RP 1.888 0.154 VT 11.383 0.000 MT 2.556 0.080 SF 5.152 0.007 BP 4.281 0.015 GH 1.051 0.352 PSC 5.048 0.007 MSC 4.552 0.012 Regarding correlation between level of PA and the participants’ profession, nurses (63.3%) self-reported both vigorous intensity PA and overall PA as well (Table 2). Pearson’s coefficient (r) showed a negative correlation between age and mental health (r: − 0.188, p = 0.011), psychological health (r: − 0.163, p = 0.028), very significant negative correlation with PA (r: − 0.246, p = 0.001) and general health (r: − 0.192, p = 0.009). Also, correlating the total IPAQ scores to QoL categories and age demonstrated a positive correlation between the intensity of physical activity and Vitality (r: 0.157, p: 0.034) as well as social role functioning (r: − 0.171, p = 0.02) (Table 3). Table 2 Total physical activity comparing activity status Department Low activity Medium activity Intense activity Total n Total activity (%) Department (%) Participants (%) n Total activity (%) Department (%) Participants (%) n Total activity (%) Department (%) Participants (%) n Total activity (%) Department (%) Participants (%) Medical 11 13.90 40.70 6.00 13 17.60 48.10 7.10 3 10.00 11.10 1.60 27 14.80 100.00 14.80 Nursing 52 65.80 46.80 28.40 40 54.10 36.00 21.90 19 63.30 17.10 10.40 111 60.70 100.00 60.70 Administrative 14 17.70 37.80 7.70 18 24.30 48.60 9.80 5 16.70 13.50 2.70 37 20.20 100.00 20.20 Technical 2 2.50 25.00 1.10 3 4.10 37.50 1.60 3 10.00 37.50 1.60 8 4.40 100.00 4.40 Total 79 100.00 43.20 43.20 74 100.00 40.40 40.40 30 100.00 16.40 16.40 183 100.00 100.00 100.00 Table 3 Pearson’s (r) correlating the total IPAQ scores to QoL categories   Activity PSC MSC Age PF RE RP VT MSC SF BP GH Total activity r             IPAQ p             PSC r 0.004             p 0.958            MSC r 0.100 0.602 b            p 0.181 0.000           Age r − 0.030 − 0.192b − 0.163a           p 0.688 0.009 0.028          PF r 0.055 0.660 b 0.271 b − 0.246b          p 0.462 0.000 0.000 0.001         RE r − 0.040 0.462 b 0.798 b − 0.103 0.165 a         p 0.590 0.000 0.000 0.165 0.025        RP r − 0.062 0.801 b 0.542 b − 0.111 0.290 b 0.536 b        p 0.406 0.000 0.000 0.135 0.000 0.000       VT r 0.157 a 0.462 b 0.712 b − 0.099 0.270 b 0.284 b 0.318 b       p 0.034 0.000 0.000 0.185 0.000 0.000 0.000      MSC r 0.121 0.304 b 0.730 b − 0.188a 0.115 0.344 b 0.221 b 0.708 b      p 0.105 0.000 0.000 0.011 0.123 0.000 0.003 0.000     SF r 0.171 a 0.565 b 0.799 b − 0.140 0.277 b 0.423 b 0.427 b 0.558 b 0.528 b     p 0.020 0.000 0.000 0.059 0.000 0.000 0.000 0.000 0.000    BP r 0.095 0.805 b 0.515 b − 0.114 0.456 b 0.317 b 0.473 b 0.455 b 0.333 b 0.519 b    p 0.202 0.000 0.000 0.125 0.000 0.000 0.000 0.000 0.000 0.000   GH r − 0.066 0.566 b 0.316 b − 0.127 0.348 b 0.155 a 0.235 b 0.287 b 0.182 a 0.388 b 0.350 b   p 0.375 0.000 0.000 0.087 0.000 0.036 0.001 0.000 0.014 0.000 0.000 PF physical function, RP role physical, BP bodily pain, GH general health, VT vitality, SF social functioning, RE role emotional, MH mental health, PCS physical component summary, MCS mental component summary aCorrelation is significant at the 0.05 level (2-tailed) bCorrelation is significant at the 0.01 level (2-tailed) Linear regression gave poor results as far as the prognosis of physical activity. More specifically, the corrected multi-step linear regression model which was used interprets 15.8% of the variance (R square = 0.158) with a dependent variable Total IPAQ, highlighting the economic status, gender and social status of the participants as the main factors (importance 0.40. 0.219 and 0.143 respectively). Discussion Working citizens want a balanced way of life and also the relief through PA with all the resulting benefits. The Randstad Workmonitor survey for the first trimester 2014 showed that employees were more productive and in better shape if they had been exercising systematically. Only a small proportion of them (18%) said that their workplace included a gym or other relevant space [11]. It has been established that activating physical activity and fitness programs for employees could boost productivity and profitability [12, 13]. Some studies have also shown that for every dollar spent for PA programs for the employees, the corporation earned up to $5 [14, 15]. Hospitals are a special workplace that can have a negative impact on the employees physical and mental health. Dealing for many years with medical diseases, rotating shifts, work overload due to understaffing, and physical burden, are reasons that make physical exercise necessary for healthcare providers. The aim of the present study was to investigate the PA of healthcare workers and its correlation to QoL. According to the results, healthcare workers for the most part had low levels of PA, corresponding to those of the general Greek population [3], and from other Greek healthcare workers as well [16]. There was no significant difference, in our sample, between the intensity of PA (light, moderate, vigorous) and QoL. Nevertheless, the intensity of PA measured in METs seems to have a positive correlation with Vitality and Social Functioning of the participants, which is in agreement with a study from Portugal that showed the positive effect of PA, not so much on QoL itself, but on everyday aspects of life. For most of the participants physical activity levels were low, which had a correlation to other QoL factors, such as Physical Functioning, Vitality, Mental Health, Social Functioning, Pain and Physical and Mental Health. Other relevant studies have also found low levels of physical activity regarding healthcare professionals [17, 18], while doctors seem to have higher levels of PA [19]. Most of our participants (55%) also reported that PA could help them improve their fitness, prevent medical conditions, and reduce stress, a finding supported by other studies too [19, 20]. Especially regarding health issues, the participants preferred body weight control and amelioration of musculoskeletal pain, which is in accordance with other studies [21, 22]. According to the participants, the main reasons preventing them from working out, the lack of free time, the working hours and also negligence were highlighted. Also, working in a hospital is usually a physically taxing job and when combined with demanding household chores, it can reduce one’s willingness to engage in other Physical Activities, which was also supported by other studies [23, 24]. The participants scored lower QoL compared to other studies [25, 26, 27]. According to our findings women report lower QoL compared to men and those of a higher educational level reported better QoL, as found by another study [26]. Other studies have shown that female healthcare professionals had had higher levels of PA compared to men, but when they correlated education levels to QoL, their findings were similar to ours. As expected, the existence of medical problems has a negative impact on most of the QoL factors of our participants, which was confirmed by other relevant studies [19, 23]. According to our findings, neither family status nor work assignment are connected to QoL, but Vitality and Physical Role were correlated to the participants’ financial situation, and a major factor that could boost healthcare professionals’ PA, is to increase knowledge and raise awareness about the benefits linked to physical activity [28]. Conclusions PA intensity cannot improve the QoL, which is a multidimensional factor. Lack of free time due to the particularities of working in a hospital, is a factor that keeps many employees way from daily physical activities. This fact combined with the willingness of the employees to be more physically active, leads to the result that it would be useful for leisure time management techniques to be developed, both individually and with official policies that could lead to create PA-oriented facilities within the hospitals. Limitation of the study As this is a self reported data, participants may over estimate themselves on PA and QoL status. The method of data collection is open to self-reported and social desirability bias that may affect the result. Further studies on wider and more representative samples of pregnancy women, could yield valid and reliable findings. Notes Authors’ contributions MS have made substantial contributions to the conception or design of the work. TF, have made substantial contributions to the conception and made the acquisition of the data. GT, have made analysis and interpretation of data. PS, have drafted the work or substantively revised it. KS, have made analysis. DK, designed this work. All authors also, have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature. All authors read and approved the final manuscript. Acknowledgements We are grateful to the study participants, supervisors and data collectors. Competing interests The authors declare that they have no competing interests. Availability of data and materials All the data supporting the findings is available upon request. Consent for publication Not applicable. Ethics approval and consent to participate The research protocol was approved by the Ethics Committee of the General Hospital of Corinth (Prot. Numb. 284/2/09/2016). The participants signed informed consent forms and anonymity was strictly observed. Funding Not applicable. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. References 1. World Health Organization. Fact sheet physical activity. Physical activity. Fact sheet. Geneva: Switzerland; 2017. http://www.euro.who.int/__data/assets/pdf_file/0005/288041/WHO-Fact-Sheet-PA-2015.pdf. 2. Hallal PC, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380:247–57.CrossRefGoogle Scholar 3. Gerovasili V, et al. Levels of physical activity among adults 18–64 years old in 28 European countries. Prev Med. 2015;81:87–91.CrossRefGoogle Scholar 4. World Health Organization. Physical activity strategy for the WHO European Region 2016–2025. Geneva, Switzerland, 2015. http://www.euro.who.int/__data/assets/pdf_file/0010/282961/65wd09e_PhysicalActivityStrategy_150474.pdf. 5. Moustou I, et al. Burnout predicts health behaviors in ambulance workers. Occup Health Saf J. 2010;2:16–8.Google Scholar 6. Anderson B, et al. Fast-food consumption and obesity among Michigan adults. Prev Chronic Dis. 2011;8:A71.PubMedPubMedCentralGoogle Scholar 7. Ware JE, Kosinski MA, Dewey JE. How to score version 2 of the SF-36 health survey, QualityMetric Incorporated. Lincoln: Lib Aust; 2000.Google Scholar 8. Craig L, Mullan K. Parental leisure time: a gender comparison in five countries. Soc Polit. 2015;20:329–57.CrossRefGoogle Scholar 9. Papathanasiou G, et al. Reliability measures of the short international physical activity questionnaire (IPAQ) in Greek Young Adults. Hellen J Cardiol. 2009;50:283–94.Google Scholar 10. American Thoracic Society: American College of Chest Physicians. ATS/ACCP statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2002;167:211–77.Google Scholar 11. Ranstad. Workmonitor Survey. 2014. https://www.randstad.com/workforce-insights/randstad-workmonitor/. 12. Rongen A, Robroek S, Burdorf A. The importance of internal health beliefs for employees’ participation in health promotion programs. Prev Med. 2014;67:330–4.CrossRefGoogle Scholar 13. Lahti J, Lahelma E, Rahkonen O. Changes in leisure-time physical activity and subsequent sickness absence: a prospective cohort study among middle-aged employees. Prev Med. 2012;55:618–22.CrossRefGoogle Scholar 14. Danielson RR, Danielson KF. (Eds.), Fitness motivation. Toronto: Orcol, 1980. Wankel LM, Kreisel P. An investigation of factors influencing sport enjoyment across sport and age groups. Paper presented at the North American Society for the Psychology of Sport and Physical Activity conference, College Park; 1982.Google Scholar 15. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37:197–206.CrossRefGoogle Scholar 16. Makri M, Pligou D. The nutritional habits of nurses in PAGNH of Heraklion. E-Thesis.2008. http://nefeli.lib.teicrete.gr/browse/seyp/nos/2008/MakriMaria,PligouDespoina/document.tkl. (Original work Published in Greek). 17. Biernat E, Poznanska A, Gajewski AK. Is physical activity of medical personnel a role model for their patients? Annal Agric Environ Med. 2012;19:707–10.Google Scholar 18. Molina JM, et al. Prevalence of physical activity in primary health care workers of Catalonia. Semergen. 2017;43:352–7.CrossRefGoogle Scholar 19. Chevan J, Haskovitz EM. Do as I do: exercise habits of physical therapists, physical therapist assistants, and student physical therapists. Phys Ther. 2010;90:726–34.CrossRefGoogle Scholar 20. Frank E. Physician health and patient care. JAMA. 2004;291:637.CrossRefGoogle Scholar 21. Loucaides CA, Jago R, Theophanous M. Physical activity and sedentary behaviours in Greek-Cypriot children and adolescents: a cross-sectional study. Int J Behav Nutr Phys Activ. 2011;8:90.CrossRefGoogle Scholar 22. Karatzi K, et al. Prevalence of hypertension and hypertension phenotypes by age and gender among schoolchildren in Greece: the Healthy Growth Study. 2017;259:128–33.Google Scholar 23. Jonsdottir IH, Börjesson M, Ahlborg G. Healthcare workers’ participation in a healthy-lifestyle-promotion project in western Sweden. BMC Public Health. 2011;11(1):448.CrossRefGoogle Scholar 24. Harenstam A, MOA Research Group. Different development trends in working life and increasing occupational stress require new work environment strategies. Work. 2005;24:261–77.PubMedGoogle Scholar 25. Stein AD, Shakour SK, Zuidema RA. Financial incentives, participation in employer-sponsored health promotion, and changes in employee health and productivity: healthPlus Health Quotient Program. J Occup Environ Med. 2000;42:1148–55.CrossRefGoogle Scholar 26. Pappa E, Kontodimopoulos N, Niakas D. Validating and norming of the Greek SF-36 Health Survey. Qual Life Res. 2005;14:1433–8.CrossRefGoogle Scholar 27. Triantafyllou D. Quality of life and health status of hospital staff in Greece. Doctoral Thesis in Greek. 2010. https://www.didaktorika.gr/eadd/handle/10442/23487. (Original work Published in Greek). 28. Burdick L, et al. Physicians’, nurses’ and community health workers’ knowledge about physical activity in Brazil: a cross-sectional study. Prev Med Rep. 2015;2:467–72.CrossRefGoogle Scholar Copyright information © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Authors and Affiliations Maria Saridi12Theodora Filippopoulou3Georgios Tzitzikos4Pavlos Sarafis5Email authorView author's OrcID profileKyriakos Souliotis2Despoina Karakatsani21.Nursing DepartmentGeneral Hospital of CorinthCorinthGreece2.Faculty of Social and Education PolicyUniversity of PeloponneseCorinthGreece3.Sterile Processing DepartmentGeneral Hospital of CorinthCorinthGreece4.Renal Unit, Nursing DepartmentGeneral Hospital of CorinthCorinthGreece5.Department of Nursing, School of Health Sciences, LimassolUniversity of TechnologyLimassolCyprus


This is a preview of a remote PDF: https://link.springer.com/content/pdf/10.1186%2Fs13104-019-4240-1.pdf

Maria Saridi, Theodora Filippopoulou, Georgios Tzitzikos, Pavlos Sarafis, Kyriakos Souliotis, Despoina Karakatsani. Correlating physical activity and quality of life of healthcare workers, BMC Research Notes, 2019, 208, DOI: 10.1186/s13104-019-4240-1