Introduction
Musculoskeletal diseases are among the most common problems associated with occupational conditions, which could reduce efficiency of employees in all working groups and impose high costs [1, 2]. Musculoskeletal diseases not only affect muscles and bones, but they can also inflict a wide range of damage to the vascular system, tendons, ligaments, and nerves [3, 4]. Symptoms of skeletal disorders vary from neck and back pain to a burning sensation in shoulders [5]. The incidence rate of skeletal disorders depends on the amount of risk factors, such as repetitive work as well as sitting and standing postures in different occupations [6]. Musculoskeletal diseases affect quality of life in addition to high health care costs for individuals and society [7, 8]. Skeletal disorders affect quality of life in various forms. Dersh et al stated that prolonged pain caused by skeletal disorders for more than six months exacerbates anxiety and stress and exerts a negative effect on self-esteem and emotional wellbeing, thereby reducing quality of life [9].
Musculoskeletal diseases not only cause personal problems for employees, but they have also some economic disadvantages for employers, such as sickness absenteeism, retirement, and disability [10]. In previous studies, including that of Rahimi et al (2014), after evaluating musculoskeletal status of students at a military academy, it was determined that the students had a more appropriate posture than other people in the community due to their regular activities in sports programs [11].
In 2009, the World Health Organization declared that work-related musculoskeletal diseases accounted for more than 10% of total lost years due to disabilities, and more than 40% of occupational diseases were related to musculoskeletal diseases in the united kingdom [12]. Similarly, musculoskeletal diseases accounted for 21 to 28 of work absenteeism days in 2017-2018 in the Netherlands, Germany, and the UK, respectively [13]. There are no exact statistics on this subject in Iran; however, the Social Security Organization of Iran paid over 100,000,000,000 Riyals as insurance fees for treating musculoskeletal diseases in 2012. Besides, in case this amount is added to the costs of muscle diseases, the costs will be many times greater than the mentioned amount [14].
The faculty members of Iran University of Medical Sciences are divided into two main clinical and basic sciences members. Each of the two groups has different tasks and physical activities. Both groups do some teaching and research tasks in the workplace, but depending on the type of the job they are required to perform, they carry out some of their duties during off hours at home, usually with a computer. The use of computers in different sections of the society, especially among faculty members, has increased dramatically, which is the main reason for their inactivity. Prolonged inactivity reduces blood circulation and leads to muscle stiffness and joint pain, with all of which increasing musculoskeletal diseases [15-17]. Clinical faculty members often spend their time at the hospital, clinic, and office to treat and manage patients. Besides, working conditions of dentists differ in the workplace from those in the personal office, and the length of the time they work at the dental clinic is significant. In contrast, nonclinical faculty members spend most of their time solving problems of graduate students' theses. Taking into account differences existing in working conditions of different faculty members mentioned above, it is expected that the incidence rates of musculoskeletal diseases be different among them [18, 19].
Musculoskeletal diseases have been evaluated in many groups of workers, including nurses, workers, drivers, military forces, naval force, dentists, and even violinists [6-8, 20]. However, few studies have so far been conducted on musculoskeletal diseases among faculty members of Iranian medical universities as influential people in the society. In this descriptive study, skeletal disorders and quality of life were simultaneously evaluated among faculty members of five faculties affiliated to RUMS, including Faculties of Health, Medicine, Dentistry, Nursing and Midwifery, as well as Paramedical Sciences. People awareness of musculoskeletal diseases could encourage them to improve their movement patterns.
Materials and Methods
The subjects of this descriptive study included all faculty members of RUMS (male and female) working at 5 Faculties of Health, Medicine, Dentistry, Nursing and Midwifery, as well as Paramedical Sciences, who were randomly referred to in 2019. Exclusion criteria of this study were work experience of less than three years, history of surgery or bone fractures in the vertebral column, congenital abnormalities in the vertebral column and pelvic bones, chronic systemic diseases, and pregnancy [21]. At the beginning of the study, according to the website and statements of the university officials, the total number of the faculty members was 179, of whom only 71 individuals participated in this study. After random referrals to the members and obtaining written consent forms from them and before measuring variables, the participants were informed about the way the variables were measured, type of the study, and confidentiality of information. Due to the heavy workload, the participants were contacted for measuring their variables when they had enough time for collaboration. Firstly, demographic data, such as age, gender, weight, height, and work experience of the participants were recorded. The faculty members might agree to complete the standard questionnaire of quality of life (SF-36) at the same time in the presence of the researcher; otherwise, it would be completed by the participants at a later time. If the participants spent more time, we could have more musculoskeletal variables. Unfortunately, it was not possible to be performed in the study, perhaps due to the tight schedule of the participants and their lack of time. The SF-36 questionnaire has been proven to be effective in uses, such as clinical work, health policy evaluations, as well as research on the general population. Concepts measured by this questionnaire are not related to age, groups, or specific diseases. The purpose of this questionnaire is to assess health status from physical and mental perspectives, which is determined by combining scores of 8 health domains. This questionnaire has 36 items assessing 8 different areas of health, including general health, physical function, role limitations for physical reasons, role limitations for emotional reasons, physical pain, social function, energy and vitality, as well as mental health.
As already mentioned, the questionnaire consists of 36 questions on 8 different subscales, including physical functioning (PF), role of physical status (RP), bodily pain (BP), general health (GH), role of emotions (RE), vitality (V), social functioning (SF), and mental health (MH). In general, by integrating these subscales, two general subscales, namely physical and mental health, are obtained, whose lower score indicates lower quality of life and their higher score indicates higher quality of life [22]. After completing the questionnaire, skeletal variables were measured by the following methods.
To measure thoracic kyphosis and lumbar lordosis, a flexible ruler was used, and the subject was asked to stand shoulder-width apart. Next, the spinous processes of the second lumbar and thoracic vertebrae were identified. The ruler was placed on the vertebral column to produce the form of its curvatures. Next, the ruler was carefully placed on white paper without altering its form to draw the shape of the curvatures on the paper. On the shape drawn on the paper, the abovementioned points were marked as well. To measure the angle of kyphosis, two points of T2 and T12 were connected by a straight line as L line and another line (as H line) was drawn vertical perpendicular to the arc. Similarly, to measure the lordosis angle, the L2 and S2 points were connected as L line and the H line was obtained from the corresponding vertical perpendicular. Then, we put the values of L and H lines in the following formula and the angles of kyphosis or lordosis were obtained: ϴ=4 Arctang (2h/l) (Fig. 1D) [23, 24].
Fig. 1. Measurement of different musculoskeletal variables.
A: Pelvic Tilt; B: Shoulder Tilt; C: Scoliosis; D: Lordosis and Kyphosis; E: Head-to-Front Angle
A goniometer was used to measure the head-to-front angle, and the subjects were asked to stand in a relaxed position, place their body weight evenly on their legs, and look ahead. Accordingly, fixed and movable arms of the goniometer were positioned along the participants' seventh vertebral neck (parallel to the ground) and the tragus (Fig. 1E), respectively [25]. A special device (a pelvic and shoulder inclinometer) with two movable arms was used to measure shoulder and pelvic tilts. Accordingly, the participants were asked to stay in a normal standing position, and by placing two arms of the device on the right and left acromiones, the device degree was recorded (Fig. 1B). In a similar way, to measure the pelvic tilt, the device arms were positioned on the two anterior and superior iliac spines instead of acromiones (Fig. 1A) [26]. To measure scoliosis by a scoliometer, a person was asked to bend forward so that their shoulders would reach the pelvic height. Next, the accelerometer was placed on the lumbar vertebral column, and the device degree was recorded (Fig. 1C) [27-29]. In this study, SPSS V.20 was used, and the significant rate was set at 0.05.
Results
From among about 179 faculty members of RUMS, 49 (%69) male and 22 (%31) female individuals participated in this descriptive study. The mean age of the faculty members was 42.73±5.99 with the age range of 32–60. In addition, their mean work experience was 15.75±6.21 years with the range of 6–33 years. Table 1 shows descriptive results of musculoskeletal status among the participants. According to this table, abnormal lordosis and head angle were seen in the majority of the participants, with 69 (%97) and 67 (%94) out of 71 subjects having had these two disorders, respectively. Besides, the mean lordosis and head angle measured were 46.5±1.23° and 34.58±5.24°, respectively, which exceeded normal values, i.e. 45 and 30° [28, 29].
Table 1. Number, mean, minimum, maximum standard deviation, and range of musculoskeletal variables
|
Pelvic tilt |
Shoulder tilt |
Vertebral tilt |
Head angle |
Kyphosis |
Lordosis |
Number |
Total |
Total |
Total |
Total |
Total |
Total |
Normal |
Normal |
Normal |
Normal |
Normal 71 |
Normal |
|
Abnormal 66 |
Abnormal 69 |
Abnormal 70 |
Abnormal 67 |
Abnormal 0 |
Abnormal 69 |
|
Mean |
1.8803° |
2.2324° |
2.2817° |
34.5775° |
37.8662° |
46.5000° |
Minimum |
0.00 |
0.00 |
0.00 |
20.00 |
30.00 |
40.00 |
Maximum |
5.00 |
6.00 |
5.00 |
53.00 |
43.00 |
49.50 |
Std. deviation |
1.00522 |
1.12704 |
1.06815 |
5.24925 |
2.61446 |
1.23346 |
Range |
0-5 |
0-6 |
0-5 |
20-53 |
30-43 |
9.50 |
Pearson's correlation results showed that there was a significant positive correlation between years of experience and abnormalities of the shoulder tilt, forward head angle, and lordosis (Table 2). Almost similar results were obtained between age and musculoskeletal variables.
Table 2. Pearson's correlation test: Relationships between musculoskeletal status and experience of faculty members
Variables |
Test statistics |
P-value |
|
Experience |
Shoulder tilt |
0.269 |
0.023* |
Pelvic tilt |
0.066 |
0.584 |
|
Head angle |
0.374 |
0.001** |
|
Vertebral tilt |
0.179 |
0.135 |
|
Kyphosis |
-0.061 |
0.613 |
|
Lordosis |
0.417 |
0.000** |
** Correlation is significant at the 0.01 level.
* Correlation is significant at the 0.05 level.
The results of the Pearson's correlation test showed that there was a significant negaitive correlation between some musculoskeletal variables and the level of physical and mental health so that with an increase in these variables, the participants' level of physical and mental mental decreased; these variables included shoulder and vertebral tilts as well as kyphosis (Table 3).
Table 3. Pearson's Correlation Test; Relationships between musculoskeletal status and physical-psychological levels
Variables |
Physical health level |
Psychological health level |
||
Test statistics |
P-value |
Test statistics |
P-value |
|
Shoulder tilt |
-0.270 |
0.023* |
-0.268 |
0.024* |
Pelvic tilt |
-0.162 |
0.177 |
-0.199 |
0.096 |
Head angle |
0.161 |
0.181 |
0.204 |
0.088 |
Vertebral tilt |
-0.462 |
0.000** |
-0.497 |
0.000** |
Kyphosis |
-0.671 |
0.000** |
-0.718 |
0.000** |
Lordosis |
0.016 |
0.895 |
-0.019 |
0874 |
** Correlation is significant at the 0.01 level.
* Correlation is significant at the 0.05 level.
Discussion
In this study, we examined musculoskeletal diseases and their relationship with quality of life among 71 faculty members of RUMS in 2019. According to Tables 1 and 2, although the number of abnormal subjects in terms to variables, such as vertebral and pelvic tilts, is almost the same as the variable of lordosis, a deviation of up to 10 degrees in vertebral and pelvis positions is considered normal [30]. In addition, the results of this study showed that an increase in the years of experience significantly increased neck curvature, shoulder tilt, and lordosis in the faculty members (Table 2). On the one hand, the mentioned diseases are more related to prolonged standing in the class and laboratory as well as sitting at the desk; on the other hand, lack of proper mobility, i.e. sedentary work, especially when using a computer, is not limited to office hours, yet members have to spend a lot of time in this position during non-office hours for doing daily work-related affairs. This static siting posture causes many problems, such as decreased blood circulation, stiffness, joint pain, and so on [31]. Similar studies show that the prevalence of musculoskeletal diseases in some occupations is consistent with the present one [32]. A study reported similar musculoskeletal diseases across different groups, such as workers, students, and dentists who had a long sedentary time [33]. Accordingly, the forward head angle reported among bank employees in Kuwait or in faculty members of the College of Applied Medical Sciences, Majmaah University, Saudi Arabia, was consistent with our study results [21].
Analysis of the quality of life questionnaire showed that the majority of the faculty members complained of inadequate physical activity, with the most important reasons for which being lack of time, heavy workload, lack of enough space and sports facilities, as well as laziness. In this regard, Sirajudeen et al found out that only 35% of the faculty members of Majmaah University had more than 4 hours of light physical activity per week, and that about 45% of them had heavy physical activity. In addition, their results showed a significant relationship between the forward head angle, lordosis and back pain, wrist skeletal problems, and heavy physical activity, with these problems exacerbated when using a computer mouse for longer periods [21]. Some quality of life outcomes were not achieved as expected; for instance, like the significant negative difference between the shoulder tilt (or vertebral tilt or kyphosis) and mental and physical health levels, similar results were obtained for lordosis and forward head angle. These results could be justified by the fact that the subjects accepted the existing physical and mental conditions. In other words, participants with abnormalities, such as lordosis, do not consider physical and mental conditions in life as causes of this problem. It seems that doing certain activities in the long term causes some musculoskeletal diseases, but because the body adapts to new conditions, a person will not complain of the existing conditions [34].
Malekpour et al reported a significant negative relationship between the rate of musculoskeletal diseases in workers in the auto parts manufacturing industry and their level of physical and mental health, being consistent with results of the present study as shown in Table 3 [35]. Similarly, Rox et al reported that in patients with musculoskeletal diseases, indicators of physical and mental health decreased significantly [36]. Rahimi et al, in their research, reported that some people had a more appropriate posture than other people in the community, which was caused by regular activities based on sports programs [11]. There are also studies not consistent with the results of the recent one; for instance, Biravand et al, in their study, reported no significant relationship between musculoskeletal status and the level of physical and mental health in Iranian Navy Submarine Crews of Bandar Abbas in 2016 [37]. Among possible reasons for different results of Beiranvand's study from previous research, one could refer to the low mean experience or lack of similarity in their participants' jobs. In the present study and that of Malekpour, the average experience was 13 and 15.75 years, respectively, while in Beiravand's study, the average experience was 7 years. In the end, it is suggested that musculoskeletal diseases be studied among students and other universities in the form of a regional or national plan.
Conclusion
The findings of this study generally indicate that an increase in the rate of musculoskeletal diseases among faculty members is inversely related to their level of physical and mental health. In addition, lordosis and forward head angle were the most significant disorders observed among the faculty members, with the situation in most of them having been abnormal. People awareness of musculoskeletal diseases could encourage them to improve their movement patterns.
Acknowledgement
The author would like to express his sincere gratitude to all faculty members who assisted me in conducting this research. Last but not least, sincere cooperation of the authorities of the Faculty of Medicine and the Vice-Chancellor of Research at Rafsanjan University of Medical Sciences is highly appreciated.
Conflict of interest: None declared.
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