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Work-related musculoskeletal disorders among physiotherapists and physiotherapy students in Croatia and their association with physical fitness


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Introduction

Musculoskeletal disorders (MSDs), cumulative damage/ dysfunction of the musculoskeletal system caused by prolonged and repeated exposure to high- or low-intensity loads or as a result of acute trauma (1), are the most common cause of severe long-term pain/discomfort causing physical disability. Work-related MSDs (WMSDs) are MSDs in which the work environment and work contribute significantly to the condition and/or the condition worsens/ persists longer due to work conditions (2). They are the most common work-related health problem in the European Union (EU), with an average prevalence of about 60% (3, 4), ranging from 40-79% in the Member States in 2015 (3). All occupations can be affected, but human health and social work occupations more so than others (3).

In physiotherapists, the WMSDs prevalence is higher than average. The 12-month prevalence is estimated at 58-91% (5, 6, 7). Moreover, Glover et al. determined that 42% of musculoskeletal symptoms persisted for >3 days within the past year (5). The leading cause of WMSDs among physiotherapists is the performance of repetitive movements or intense physical demands (lifting heavy patients, manual handling, patient handling, awkward positioning, prolonged constrained postures) (6, 7, 8, 9). The most frequently affected areas are the lower back (6, 7, 8, 9, 10, 11, 12, 13), neck and upper back (8, 9), and thumb (6). To carry out the physically demanding work of a physiotherapist, it is necessary to ensure satisfactory physical fitness (PF).

PF is defined as the capacity for physical activity, which is defined as any bodily movement produced by skeletal muscles that results in energy expenditure. It consists of five components: body composition, cardiorespiratory and muscle endurance, muscle strength and flexibility (14). The level of PF is partially genetically predetermined but is influenced by external factors, such as exercise. Although good PF is considered a protective factor for the occurrence of MSDs, research to date has not been able to show this statistically (15, 16, 17).

The latest available data show that the prevalence of WMSDs in Croatia is slightly higher than the average in the EU (2015: 62%) (4). Data on PF and the prevalence of WMSDs among physiotherapists/physiotherapy students in Croatia are very limited. Only recently, studies addressing this topic have emerged (18, 19). Sklempe Kokic et al. (2019) for example, estimated the last 12-months prevalence of MSDs among physiotherapy students at about 80% (18).

Aiming to provide evidence for the development of evidence-based health promotion programmes for maintaining adequate PF in physiotherapists to decrease their WMSDs starting in the years of studying, the objectives of this study were a) to assess the differences in self-rated WMSDs and PF components between physiotherapists and students of physiotherapy and b) to assess the association between WMSDs and PF components.

Methods
Study design, setting and time frame

The presented cross-sectional study is a part of comprehensive research on WMSDs in physiotherapists in Croatia in relation to PF and physical activity. It was carried out during the 2017/18 academic year at the University of Applied Health Sciences Zagreb (UAHSZ) in collaboration with the Faculty of Kinesiology, University of Zagreb.

Subjects

The study involved two groups of subjects. The first consisted of physiotherapists involved in the UAHSZ study programme (e.g. conducting clinical teaching and clinical tutoring). The inclusion criterion was practising the profession in the Zagreb area, which was met by 71/80 physiotherapists. They were invited to participate in the study. The second group consisted of the Bachelor of Physiotherapy study programme of the UAHSZ students. The total population of the third year of 2017/18 (n=107) was invited to participate. There were no exclusion criteria.

Study course

Everyone who was invited to the research was first briefly introduced to the purpose and importance of the research and its course (filling in the questionnaire and PF testing). This was followed by completing a structured self-completion questionnaire designed by the first author. The questionnaire consisted of three sets of questions. The first set consisted of questions about WMSDs based on selected questions from the Nordic Musculoskeletal Questionnaire (NMQ) (20), supplemented by additional questions (e.g. questions about the history of symptoms and about possible treatment of symptoms). The second set consisted of questions of the long version of the International Physical Activity Questionnaire (21). The last set consisted of questions on socio-demographic data. The questionnaire was completed by all who decided to participate in this first part of the research. Afterwards, the first author demonstrated the performance of PF tests. This was followed by a short interview about the current self-reported state of health. All those whose current state of health did not allow them to perform PF tests were excluded from the study.

Observed variables and study instruments
Musculoskeletal variables

WMSDs status was assessed by questions about WMSDs based on selected similar NMQ questions (20). The respondents were asked the following: Have you at any time during the last 12 months had trouble (ache, pain, discomfort) lasting >3 days during physiotherapeutic activities (0=no, 1=yes). If yes, they were asked about the locations: neck, shoulders, upper back, elbows and forearms, lower back, wrist and hands, thumb, hips and thighs, knees, and ankles and feet (all 0=no, 1=yes).

Physical fitness components variables

In the PF assessment, the battery of tests proposed by the American College of Sports Medicine was used (22). All measurements were performed by the study’s first author. Body composition was assessed by body mass index (BMI) (23), which demonstrated high reliability (Cronbach=0.995) (24). Body mass was measured using a Seca 700 medical personal scale (Seca GmbH, Germany) and body height using a Seca 220 stadiometer (Seca GmbH, Germany). The original BMI values were transformed into standardized categories (1=BMI <18.5: underweight; 2=BMI 18.5-24.9: normal weight; 3=BMI 25.0-29.9: overweight; 4=BMI ≥30.0: obese) (25).

Cardiorespiratory endurance was assessed with the Harvard step test, which demonstrated acceptable reliability (Interclass Coefficient-ICC=0.63) (26). Respondents were stepping up and down on a step bench (men: 50 cm; women: 45 cm) for 5 min at the frequency of 30 times per minute until exhaustion or up to 5 minutes (27). At one, three, and five minutes after the test, pulse rate was recorded. The cardiorespiratory fitness index (CRI) was calculated using a standard procedure (28). The original CRI values were transformed into standardized categories (1=CRI <54(poor), 2=CRI 54-67(low average), 3=CRI 68-82(average), 4=CRI 83-96(good), 5=lCRI >96(excellent)) (29).

Muscle endurance was tested using a curl-up test for assessment of the dynamic capacity of the abdominal muscles, which demonstrated high reliability (ICC=0.91-0.96) (30). On the training mat on which two stripes 1 metre long separated by 10 centimetres were placed (UAHSZ, Croatia), the examinee performed the lifting of the torso from the lying position on the back, with the movement of the arms from the starting to the end marked position. The test was conducted for 1 minute in time with the metronome (mobile application “Metronome” version 1.21). The number of repetitions the subject was able to perform was recorded. Considering the sex and age of the participants, the number of repetitions was transformed into standardized categories (1=poor, 2=low-average, 3=average, 4=good, 5=excellent) (31).

For muscular strength, the handgrip strength test was used (21), which demonstrated high reliability (ICC=0.87) (26). Isometric force (kg) was measured with a Jamar handgrip dynamometer (Jamar 5030 J1; Sammons Preston Inc., USA). Measurements were taken in the seated position, with the arm supported leaning against the body, elbow bent at 90 degrees, the hand in a neutral position holding the dynamometer (22). The participants were instructed to squeeze the dynamometer as hard as they could (22). The subject performed 3 attempts, each hand alternately. The result was the average of the best measurements of both hands. Considering the sex and age of the participants, basic values were transformed into standardized categories (1=poor, 2=low-average, 3=average, 4=good, 5=excellent) (31).

As an assessment tool to evaluate posterior muscular chain flexibility, which simultaneously implies a requirement for balance, the Toe-Touch Test was applied (32), which demonstrated high reliability (r=0.97) (33). The respondents were standing on a flexometer – a raised platform (UAHSZ, Croatia), bending forward with straight knees, touching their toes, or reaching further. The distance (in cm) to/ from the ground (point 0) at which the middle index finger reaches the lowest was recorded. Measured values were divided into seven categories (1=very poor, 2=poor, 3=fair, 4=average, 5=good, 6=excellent, 7=outstanding) (34).

Other variables

Along with health and PF variables, selected socio-demographic factors were observed: sex and physical workload according to the physiotherapeutic work during service or during the practical exercise (1=work in a hospital ward, 2=work in an outpatient clinic, 3=work of a mixed type) were observed.

Data processing and statistical analysis

Prior to analysis, the data were prepared so that they were suitable for public health purposes. In this procedure, the PF variables were dichotomised considering the physical workload of the participants in terms of what their PF should be in relation to their work as physiotherapists, except in body composition. For those working in hospital wards, or hospital wards and outpatient clinics, excellent and outstanding results were considered satisfactory PF achievements. For those working only in outpatient clinics good, excellent and outstanding results were considered satisfactory PF achievements. For students, already average results were considered satisfactory PF achievements. A new variable was created for each of them: poor cardiorespiratory endurance, poor muscle endurance, poor muscle strength and poor flexibility (all 0=no, 1=yes). A variable for poor body composition was also created (0=no (normal weight), 1=yes (underweight/ overweight/obesity)).

First, differences in WMSDs and PF components between physiotherapists and physiotherapy students were analysed. The chi-square test was used as a principal method, while in the case of low expected frequencies, Fisher exact (in case both variables had two categories) and likelihood-ratio tests (in case one variable had more than two categories) were used.

Afterwards, an assessment of the association between WMSDs and PF components was performed. Multiple binary logistic regression was used as a method of multivariate analysis. For each WMSD, a multivariate model was defined with the same independent variables: all five components of PF, the group of physiotherapy students/physiotherapists, and sex. As a method of assessing goodness-of-fit of models, the Hosmer-Lemeshow test was used.

In all statistical tests, p≤0.05 was considered significant. The software IBM SPSS for Windows Version 27.0 (SPSS Inc., Chicago, IL., USA) was used for computations.

Results
Description of participants

Of the 71 invited physiotherapists, 9 declined to participate or had a health condition that did not allow the performance of PF tests (pregnancy, neck problems, knee problems, multiple sclerosis). Finally, 62 (87.3% of invitees) participated in the study. Of 107 physiotherapy students 100 agreed to participate in the study (response rate of 93.4%).

The group of students consisted of 31 (31.0%) males and 69 (69.0%) females. In the group of physiotherapists, the distribution by sex was very similar (males: 17, 27.4%; females: 45, 72.6%). The mean age of students was 21.7±1.1 years, while the mean age of physiotherapists was 42.4±9.0 years. Among the physiotherapists, 28 (45.2%) were working in hospital wards and the same number in outpatient clinics (28, 45.2%), while 6 of them (9.7%) were working in hospital wards and outpatient clinics.

Prevalence of WMSDs

The overall 12-month prevalence of WMSDs, lasting >3 days during physiotherapeutic activities regardless of location, was 53.1%. The results showed that the prevalence in physiotherapists was higher except in the lower back, and ankle and foot. Among the physiotherapists the prevalence was the highest in the lower back, shoulders and neck, while among physiotherapy students, it was highest in the lower back, upper back and neck (Table 1).

The 12-month prevalence of pain lasting >3 days due to work-related musculoskeletal disorders.

Location of pain Category Physiotherapists (n=62)
Students (n=100)
p
Ncat(%) Ncat(%)
Any location No 22(36.1%) 53(53.5%) 0.031*
Yes 39(63.9%) 46(46.5%)
Neck No 48(77.4%) 88(88.0%) 0.075*
Yes 14(22.6%) 12(12.0%)
Shoulder No 47(75.8%) 91(91.0%) 0.008*
Yes 15(24.2%) 9(9.0%)
Upper back No 49(79.0%) 88(88.0%) 0.125*
Yes 13(21.0%) 12(12.0%)
Elbow and forearm No 55(88.7%) 97(97.0%) 0.033#
Yes 7(11.3%) 3(3.0%)
Lower back No 43(69.4%) 67(67.0%) 0.775*
Yes 19(30.6%) 33(33.0%)
Wrist and hand No 52(83.9%) 97(97.0%) 0.003#
Yes 10(16.1%) 3(3.0%)
Thumb No 56(90.3%) 100(100.0%) 0.002#
Yes 6(9.7%) 0(0.0%)
Hip and thigh No 57(91.9%) 98(98.0%) 0.065#
Yes 5(8.1%) 2(2.0%)
Knee No 55(88.7%) 90(90.0%) 0.795*
Yes 7(11.3%) 10(10.0%)
Ankle and foot No 61(98.4%) 94(94.0%) 0.182#
Yes 1(1.6%) 6(6.0%)

Legend: *=Chi-square test results, #=Fisher exact test results

Physical fitness analysis

Table 2 shows the results of the PF analysis in both observed groups, and a comparison between them. The results show that more physiotherapists are overweight, with poor cardiorespiratory endurance, poor muscular endurance, and low average muscular strength, than students, except in the case of flexibility.

Physical fitness tests results.

Physical fitness component Category Physiotherapists (n=62) Students (n=100) p
Body composition Underweight 0(0.0%) 4(4.0%) <0.001#
Normal weight 26(41.9%) 76(76.0%)
Overweight 31(50.0%) 17 17.0%)
Obese 5(8.1%) 3(3.0%)
Cardiorespiratory endurance Poor 30(48.4%) 20(20.0%) 0.003#
Low average 0(0.0%) 1(1.0%)
Average 4(6.5%) 16(16.0%)
Good 16(25.8%) 38(38.0%)
Excellent 12(19.4%) 25(25.0%)
Muscular endurance Poor 31(50.0%) 11(11.0%) <0.001#
Low average 9(14.5%) 16(16.0%)
Average 8(12.9%) 15(15.0%)
Good 6(9.7%) 16(16.0%)
Excellent 8(12.9%) 42(42.0%)
Muscular strength Poor 7(11.3%) 5(15.0%) 0.421*
Low average 22(35.5%) 25(25.0%)
Average 12(19.4%) 14(14.0%)
Good 13(21.0%) 28(28.0%)
Excellent 8(12.9%) 18(18.0%)
Flexibility Very poor 6(9.7%) 33(33.0%) 0.002#
Poor 20(32.3%) 33(33.0%)
Fair 19(30.6%) 25(25.0%)
Average 10(16.1%) 7(7.0%)
Good 5(8.1%) 1(1.0%)
Excellent 1(1.6%) 1(1.0%)
Outstanding 1(1.6%) 0(0.0%)

Legend: *=Chi-square test results, #=Likelihood-ratio test results

Results of analysis of the association between WMSDs and PF

Due to the very low frequency, the multivariate analysis could not be performed for two pain locations – thumb, and ankle and foot. Other results of the analysis of the association between WMSDs and PF in physiotherapists and physiotherapy students are shown in Table 3.

Results of multiple binary logistic regression analysis of the association between pain associated with work-related musculoskeletal disorders, and physical fitness and socio-demographic factors.

Health outcomes PF and socio-demographic factors Category OR(95% CI limits) pV pHL
Neck pain Poor body composition No 1.00 0.529
Yes 0.76(0.28-2.09) 0.599
Poor cardiorespiratory endurance No 1.00
Yes 0.50(0.17-1.50) 0.218
Poor muscular endurance No 1.00
Yes 2.30(0.77-6.86) 0.134
Poor muscular strength No 1.00
Yes 0.55(0.17-1.83) 0.331
Poor flexibility No 1.00
Yes 0.65(0.17-2.49) 0.531
Group Students 1.00
Physiotherapists 3.16(0.80-12.41) 0.099
Sex Males 1.00
Females 1.04(0.37-2.90) 0.938
Shoulder pain Poor body composition No 1.00 0.706
Yes 0.72(0.24-2.12) 0.554
Poor cardiorespiratory endurance No 1.00
Yes 0.27(0.08-0.90) 0.033
Poor muscular endurance No 1.00
Yes 2.37(0.70-8.00) 0.164
Poor muscular strength No 1.00
Yes 0.50(0.13-1.84) 0.297
Poor flexibility No 1.00
Yes 1.02(0.18-5.65) 0.981
Group Students 1.00
Physiotherapists 6.96(1.55-31.09) 0.011
Sex Males 1.00
Females 2.41(0.68-8.54) 0.172
Upper back pain Poor body composition No 1.00 0.851
Yes 0.72(0.26-1.99) 0.531
Poor cardiorespiratory endurance No 1.00
Yes 0.79(0.27-2.32) 0.668
Poor muscular endurance No 1.00
Yes 1.98(0.65-6.00) 0.227
Poor muscular strength No 1.00
Yes 1.40(0.42-4.66) 0.581
Poor flexibility No 1.00
Yes 1.30(0.25-6.90) 0.752
Group Students 1.00
Physiotherapists 1.34(0.34-5.35) 0.678
Sex Males 1.00
Females 1.65(0.54-5.03) 0.380
Elbow and forearm pain Poor body composition No 1.00 0.822
Yes 1.05(0.22-4.98) 0.953
Poor cardiorespiratory endurance No 1.00
Yes 0.63(0.10-3.60) 0.601
Poor muscular endurance No 1.00
Yes 2.80(0.45-17.03) 0.265
Poor muscular strength No 1.00
Yes 0.58(0.09-3.41) 0.547
Poor flexibility No 1.00
Yes 0.17(0.03-0.92) 0.040
Group Students 1.00
Physiotherapists 5.09(0.56-45.88) 0.147
Sex Males 1.00
Females 0.59(0.12-2.84) 0.514
Lower back pain Poor body composition No 1.00 0.441
Yes 0.51(0.23-1.16) 0.109
Poor cardiorespiratory endurance No 1.00
Yes 1.21(0.52-2.81) 0.656
Poor muscular endurance No 1.00
Yes 1.86(0.81-4.28) 0.141
Poor muscular strength No 1.00
Yes 0.72(0.28-1.83) 0.486
Poor flexibility No 1.00
Yes 0.97(0.31-2.96) 0.953
Group Students 1.00
Physiotherapists 0.92(0.30-2.75) 0.877
Sex Males 1.00
Females 0.59(0.28-1.30) 0.190
Wrist and hand pain Poor body composition No 1.00
Yes 1.11(0.29-4.15) 0.874 0.272
Poor cardiorespiratory endurance No 1.00
Yes 1.62(0.37-6.98) 0.520
Poor muscular endurance No 1.00
Yes 1.53(0.31-7.45) 0.599
Poor muscular strength No 1.00
Yes 1.49(0.29-7.48) 0.627
Poor flexibility No 1.00
Yes 0.75(0.12-4.52) 0.756
Group Students 1.00
Physiotherapists 2.91(0.40-21.04) 0.291
Sex Males 1.00
Females 0.89(0.22-3.54) 0.869
Hip and thigh pain Poor body composition No 1.00 0.113
Yes 0.76(0.10-5.69) 0.796
Poor cardiorespiratory endurance No 1.00
Yes 0.19(0.02-1.86) 0.157
Poor muscular endurance No 1.00
Yes 0.59(0.08-4.03) 0.588
Poor muscular strength No 1.00
Yes 2.69(0.28-26.14) 0.394
Poor flexibility No 1.00
Yes 0.06(0.01-0.54) 0.013
Group Students 1.00
Physiotherapists 7.23(0.50-103.64) 0.145
Sex Males 1.00
Females 1.85(0.22-15.18) 0.567
Knee pain Poor body composition No 1.00 0.377
Yes 0.88(0.27-2.86) 0.833
Poor cardiorespiratory endurance No 1.00
Yes 4.03(1.12-14.58) 0.033
Poor muscular endurance No 1.00
Yes 0.66(0.19-2.35) 0.525
Poor muscular strength No 1.00
Yes 0.44(0.10-1.97) 0.287
Poor flexibility No 1.00
Yes 0.66(0.15-2.94) 0.583
Group Students 1.00
Physiotherapists 1.19(0.23-6.14) 0.835
Sex Males 1.00
Females 0.82(0.26-2.64) 0.742

Legend: OR=odds ratio; CI=confidence interval; pV=p-value of a variable; pHL=p-value of the Hosmer-Lemeshow test

Discussion

The study showed two unexpected results, both regarding physiotherapy students. First, they had pain in the lower back and knees essentially as often as physiotherapists; second, two thirds of them had poor/very poor flexibility. Regarding the prevalence, the results could only be compared with the results of the study of Glover et al. (5) in which the question about experiencing WMSDs was most similar to the question in our study (symptoms that lasted >3 days); the observed prevalence in their study was 42%. As the composition of the studied group was to a certain extent also similar (94% of the studied group consisted of physiotherapists and physiotherapy students, and 6% physiotherapy assistants), we can conclude that the problem in Croatia seems to be slightly greater than in the UK. Comparison with other studies was not possible due to differences in the question about WMSDs, which in our study focused only on WMSDs prevalence of longer duration (>3 days) in the previous 12 months, while other studies were focused on the previous 12-month prevalence of WMSDs without specifying the duration (7, 18), or lifetime prevalence of WMSDs (6, 9). A comparison regarding the location of the pain was less problematic. Studies in this area have shown that our results are very similar: the most common pain locations were the lower back, neck, and shoulders (5, 35, 36). For students, the location could also be compared to a recent study conducted in Croatia (18). The results were very similar: the highest prevalence was observed, as in our study, in the lower back, neck, and upper back. As expected, the prevalence of WMSDs in our study was higher in physiotherapists in comparison to students in general, as well as in many individual locations. Although the prevalence of low back pain between students and physiotherapists has not been significant, it is important to note that this finding in students is worrying, which may be related to an increased sedentary lifestyle, and it should be investigated further. Similar, though less pronounced, is the problem in two other locations – knees and upper back. The latter was revealed only by multivariate analysis.

The body composition of physiotherapy students was within the normal range, similarly to other recently published studies (15, 28, 36, 37, 38), and was statistically significantly better than in physiotherapists, although it was still within acceptable limits, which is consistent with the study of Ramanadi et al. (16). Cardiorespiratory endurance was also statistically significantly better in students than in physiotherapists, for whom it was surprisingly poor. The situation was similar in muscular endurance, which was scored as excellent for students. The results were similar to those of Juhkam et al. (37). The first PF component of concern in students was muscular strength. The isometric handgrip strength is one of the important components of PF, indicating the strength of the upper limb and, indirectly, the whole body (39). We expected students to do better than physiotherapists, but the two groups were quite similar. A similar result was shown by Juhkam et al. (37). It would make sense to direct students to a physical activity requiring more involvement of the upper limbs and handgrip. Unexpected was the result of the flexibility test in which as many as two thirds of students demonstrated poor or even very poor flexibility. Consequently, students should be directed to perform activities that will increase the extensibility of the dorsal muscle chain of the boot and hip (40). Again, a similar result was observed in another study (41).

There are few published studies on the relationship between WMSDs and PF, and comparison with other results is difficult. The only similar study by Mirza and collaborators showed very similar results - the association between PF and WMSDs could not be confirmed (15). A statistically significant positive association was observed only between knee pain and poor cardiorespiratory endurance, while other statistically significant results were debatable (in the shoulder, the elbow/forearm, and the hip/thigh pains). Poor cardiorespiratory endurance and poor flexibility in our study seemed to be protective factors for pain as a contradictory result; however, as previously stated, the available literature thus far has not shown a statistical relationship between PF and WMSDs.

The study has some limitations. First, the observed group was too small, which, given the low frequency of some observed WMSDs, did not allow for more in-depth analyses, although the size of the participants was estimated in accordance with the theory and was expected to be large enough (42). However, we still obtained some very important results. Representativeness was also not an issue, as all identified physiotherapists at the time of the study and all students in the academic year were invited, and the response rate was on average more than 90%. Next, there is a time mismatch of the variables in the multivariate models. However, as in similar studies, we asked about the symptoms of WMSDs in the previous 12 months, and this could be at any time during the past 12 months and quite distant in time, while in a cross-sectional design the PF measurements could only be performed at the time of the study. Next, one could argue that the original general NMQ, whose reliability proved to be moderate to high in the majority of questions with kappa coefficients above 0.50 (43), was not used. However, some parts have been used, although slightly modified or supplemented. First was the question on the occurrence of troubles at any time during the last 12 months, which was modified in the sense that the focus in our study was only on troubles lasting >3 days occurring during physiotherapeutic activities. All locations of troubles listed in the original NMQ were also used (in all yes or no regardless of the body side), while the thumb location was added. Other parts of the original general NMQ were omitted. Next, one could also argue that the Physical Workload Questionnaire was not used in judging workplace workload. Finally, the applied fitness tests have rather low sensitivity. For each component of PF, it is possible to use several different tests, focusing more on the examination of the upper or lower part of the body. However, we believe that the application of other tests would not significantly contribute to a change in the obtained results of measuring the parameters of PF.

Nevertheless, the study has some important strengths. First, this is the first study showing the level of PF and the problem of WMSDs among physiotherapists in Croatia in relation to physiotherapy students. Next, one very important strength is that it is a study on a population with very high responsiveness. This allows a reliable estimate of prevalence. Finally, the results could be useful in other social environments as well, especially in those where the transition took place in a similar way and, consequently, the values of the younger generations of the population are subject to similar changes in values.

The results provide very important implications in terms of where to direct efforts to prepare future physiotherapists physically for their future profession. The educational institution should be actively involved, as should the physiotherapists from whom students receive practical training. It would make sense, for example, to direct students to organised physical exercise, which would be useful not only during their studies, but could also be performed in late adulthood to prevent frailty (44). An appropriate exercise, which is also popular among young people, could be yoga (45).

In the continuation of research in this field, it would first be necessary to increase the sample size, while choosing fitness tests appropriate for the individual location of WMSDs due to greater sensitivity. In addition, it would be sensible to construct a questionnaire that puts the phenomena in which we observed the relationship in the right place in terms of chronological order and simultaneity.

Conclusions

The study showed two important unfavourable results. The first is that physiotherapy students have pain in the lower back even more often than their older senior colleagues, and the second is that an extremely high percentage of physiotherapy students have poor flexibility. Both results are issues of great concern and indicate where action is needed – in promiting physical activity for the preservation and improvement of the health of physiotherapy students. UAHSZ should be more involved in introducing them to this problem. This role should be played by staff involved in clinical practice, who by their example, and work activities, can improve their attitude to PF and physical activity.

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