Frequency and risk factors of musculoskeletal pain in nurses at a tertiary centre in Jeddah, Saudi Arabia: a cross sectional study
© Attar; licensee BioMed Central Ltd. 2014
Received: 28 September 2013
Accepted: 17 January 2014
Published: 25 January 2014
Musculoskeletal complaints are an important occupational problem; nevertheless, few studies have targeted nurses in Saudi Arabia. The aim of this study was to determine the frequency and risk factors of work-related musculoskeletal disorders (WMSDs) among nursing personnel at a tertiary centre in Jeddah.
A comparative cross-sectional study was performed in which full-time registered nurses from four different departments (n = 200) were selected for analysis between September 1, 2011 and February 29, 2012. Musculoskeletal symptoms over the past year were assessed using the Nordic Standardised Musculoskeletal Questionnaire. In addition to demographic questions, the researcher evaluated employment history, physical risk factors at work, and general health status.
In this study, approximately 85% of the nurses reported experiencing at least one musculoskeletal symptom. Musculoskeletal symptoms occurred most commonly in the lower back (65.7%), ankles and feet (41.5%), and shoulders (29%). Prolonged working hours and being underweight were significantly associated with the development of these symptoms (OR 3.66, 95% CI 1.24-10.79, P = 0.018, and OR 2.66, 95% CI 1.37-5.93, P = 0.004, respectively). Working in the surgical department was a greater risk factor for low back pain compared with working in other departments.
WMSDs are common among our nurses, and back pain is the most common symptom. As prolonged working hours and being underweight were factors that contributed most to WMSDs, decreasing shift durations or offering nutrition educational programmes may be suitable solutions. However, further studies are required to examine the best modality for decreasing the occurrence of WMSDs.
KeywordsPain Nurse Musculoskeletal
A work-related musculoskeletal disorder (WMSD) is defined as a musculoskeletal disorder that results from a work-related event . WMSDs are common among health care personnel who provide patient care on a continuous basis. WMSDs are common among the nursing population worldwide, with a frequency of approximately 40 to 90% [2–6]. This statistic is not surprising given that the nursing population is exposed to continuous physical demands and musculoskeletal strains . Because nurses represent approximately one-third of the working force at any hospital, the development of WMSDs in this population may have a substantial impact on absences from work, work restrictions, or even transfers to other jobs. We hypothesised that WMSDs might be more relevant in less-developed countries because of prolonged hospital stays and increased patient loads; however, to the best of our knowledge, no studies have explored the occurrence of different musculoskeletal complaints in nurses working at a hospital in Saudi Arabia [8, 9]. Therefore, the aim of this study was to evaluate the frequency of WMSDs in the nursing population at a tertiary centre and to assess the relationship between WMSDs and workload-related factors.
A comparative cross-sectional study was performed at a tertiary centre at King Abdulaziz University Hospital (KAUH) from September 1, 2011 to February 29, 2012, following approval by the Biomedical Ethical Research Committee of the Faculty of Medicine at King Abdulaziz University (KAU).
KAUH is a general teaching hospital in the western region of Saudi Arabia, with a total capacity of 800 beds. It is a major referral centre that provides tertiary care for patients in the Western Province of Saudi Arabia. The catchment area of the hospital includes approximately 350,000 people.
To be able to extrapolate our results, we calculated the sample size and performed a sampling technique to ensure a representative sample. The hospital has a database of 1074 nurses. At a confidence level of 95% with an alpha error = 0.05, the lowest reported frequency of WMSD is approximately 40%  and the maximum is 90% [3, 5]; however, the frequency is assumed to range from 40% to 50% among nurses at KAUH. MedCalc statistical software was used to estimate a sample size of 200, which represents 20% of the working staff, as we could not examine all of the nurses. Using a simple random method, 200 nurses were selected from different hospital departments from a list of names obtained from the hospital administration and were interviewed by the researcher to complete a written questionnaire.
The nursing staff at KAUH consists of registered nurses with either a bachelor’s degree or diploma from their country of origin. Inpatient nurses work 48-hours weeks. Outpatient staff work according to the clinic’s needs, generally from 8 a.m. to 5 p.m. Employees other than nurses, including porters and unit clerks, were excluded from the study.
After obtaining formal informed consent from the participants, questionnaires were applied by the author. The questionnaires were divided into 3 different parts. The first part collected demographic data, including age, gender, marital status, and number of children. The second part consisted of perceptions of job risk factors that may contribute to the development of WMSDs, such as working in the Medicine, Surgery, Paediatric, or Obstetrics and Gynaecology departments. In addition, the questionnaire evaluated the hours at work, duration of employment in the current job in years, presence of co-morbid illness (diabetes mellitus, hypertension, chronic renal impairment, cardiovascular diseases, or malignancy), smoking, and participant weight (further divided according to the body mass index [BMI] into underweight [<18.5 kg/m2], healthy weight [18.5–24.9 kg/m2, overweight [25.0–29.9 kg/m2, and obese [≥30.0 kg/m2]).
The third portion of the questionnaire investigated WMSD. In this study we defined WMSD as musculoskeletal symptoms (pain, numbness, tingling, aching, stiffness, and burning) that resulted from a work-related event, excluding other injuries experienced over the past year that lasted 1 week or more or occurred at least monthly with at least moderate pain on average. It also assessed whether sick leave had been taken or medical advice had been sought. The researcher explained all the symptoms to the nurses and was available to answer any inquiry. The nurses responded yes or no to whether they had experienced these symptoms. This section was adapted from the previously validated and modified version of the Standardised Nordic Questionnaire of Musculoskeletal Symptoms (SNQ) that was established by Kuorinka et al. and is frequently used as to screen for MSDs [7, 10]. The SNQ was used to evaluate nine body areas, including the three upper limb segments (shoulders, elbows, and wrists/hands), three lower limb segments (hips/thighs/buttocks, knees, and ankles/feet), and three trunk segments (neck, mid back, and lower back). We also evaluated the possible association of musculoskeletal complaints with different risk factors in the form of smoking habits and physical characteristics, in addition to the factors that increase the risk of WMSDs (such as the presence of insufficient nursing staff and manual lifting of patients).
The data were analysed using the Statistical Package for the Social Sciences, version 16.0 software (SPSS Inc., Chicago, Illinois, USA). Quantitative data were presented in the form of means and standard deviations. Student’s t-test was used for comparisons between two groups, as the Kolmogorov-Smirnov test indicated that the data were parametric. Qualitative data were presented as frequencies and percentages. The chi-squared test (χ2) was used to compare qualitative data. Yates’ correction was used when the expected cell was less than five (< 5). The risk was estimated using odds ratio and 95% confidence interval. A multivariable linear regression analysis was performed to determine the predictors of WMSDs. A probability level of 0.05 or less was used to indicate statistical significance.
Descriptive information and risk factors affecting 200 studied nurses
With WMSD n=169(%)
Without WMSD n=31(%)
Age (yrs): Mean±SD (range)
n = 9
n = 191
n = 139
n = 61
n = 104
n = 96
n = 73
n = 45
n = 42
Obstetrics &Gyn aecology
n = 40
Working hours per day
n = 20
More than 10 hours
n = 180
Duration of job (yr)
Less than 1
n = 21
n = 72
n = 38
More than 10
n = 69
n = 49
n = 151
n = 67
n = 100
n = 24
n = 9
n = 3
n = 197
Manual lifting of patients
n = 177
n = 23
Not enough staff
n = 112
n = 88
Frequency of work-related musculoskeletal disorders among 200 studied nurses
Multivariable linear regression analysis for predicting the most significant risk factor for work-related musculoskeletal disorders (WMSDs)
Working hours per day
-More than 10 hours
Risk factors associated with the presence of lower back pain among nurses
With LBP n = 130(%)
Without LBP n = 70(%)
Unadjusted OR (95% CI)
Medicine n = 73
Surgery n = 45
Paediatric n = 42
Ob & Gyn n = 40
Manual lifting of patients
Yes n = 177
No n = 23
Not enough staff
Yes n = 112
No n = 88
In this cross-sectional survey of 200 nurses, WMSDs were observed in 169 patients (85%). The most common site affected was the lower back in 130 patients (65.7%), followed by the ankle/foot in 83 patients (41.5%) and shoulder in 58 patients (29.0%). The most significant risk factors were prolonged shifts (>10 hours per day) and being underweight.
Previous studies have documented various rates of WMSDs over a 12-month period in a variety of populations. Data from the present study were comparable to the that reported from Nigeria (85%) , but higher than those observed in Mexico (76%) , Japan (70%) , Canada (66%) , and the United States (60%) . On the contrary, the rate was lower than that in Brazil (93%)  and Turkey (90%) . The results of these studies should be interpreted carefully, and the standard questions should be evaluated to determine whether diverse symptoms (pain, numbness, tingling, aching, stiffness, and burning) rather than one symptom alone (pain) were assessed, as this contributes to a higher frequency. The present study included all possible associated symptoms and used the Standardised Nordic Questionnaire of Musculoskeletal Symptoms (SNQ), which has been included in other studies [1–4, 11, 13].
This distribution pattern of WMSDs among the nursing population is consistent with that reported in the literature, as LBP was the most common complaint (65.7%) in our nursing population. Previous studies have documented different rates of LBP over a 12-month period, ranging between 19 and 80%. The highest rates, which were consistent with our finding, were from Greece (75%) , Nigeria (73.5%) , Germany (73%) , Turkey (69%) , Sweden (64%) , and Italy (60%) . In other studies, LBP was still the most common WMSD, but the frequency was not comparable to our findings. In these reports, the rates of LBP were 59% in Australia , 56% in China , 48% in Canada , 40% in England , 41.1% in France , 40.6% in Hong Kong , and 29% in the United States .
Back pain is the most common WMSD among all populations because of its significant association with locally stressful physical activities. This study attempted to explore this association, which was significantly associated with the Surgical Department. This may be related to the need for increased manual handling of postoperative patients within a short period of time. Lorusso et al. ‘;s recent systematic review of 25 studies that examined the prevalence of LBP among Italian nurses concluded that psychosocial risk factors associated with physical workload were significantly associated with LBP in most studies . Similarly, Tezel et al. observed that WMSDs were significantly associated with working in Surgical and Obstetrics and Gynaecology departments, where nurses were more likely to have chronic WMSDs than nurses working in other departments . However, in our study, the frequency of WMSDs was lowest (47%) amongst nurses who worked in the Obstetrics and Gynaecology Department compared to those who worked in the other departments.
The period-prevalence of ankle and foot WMSDs among nurses was 41.5% (95% CI 34.6-48.7%). Compared to other developing countries, this value was higher, with studies reporting a frequency of 10.2 to 16.6% [1, 11]. Numerous conditions can cause chronic foot and ankle pain, but pain is primarily caused by inappropriate footwear . Flexible flat feet is a pathological foot condition that can occur in older nurses . Because nurses spend most of their working time on their feet, they may develop numerous conditions that result from wearing inappropriate footwear that can cause chronic foot and ankle pain, such as plantar fasciitis, bunions, and hammer toes. Further questioning of the nurses revealed that 64/83 (77%) were unaware of the causes of their foot pain, as they never sought medical attention.
Shoulder pain was the third most commonly reported WMSD within the studied cohort, with a period-prevalence of 29%, which was lower than the values reported from Sweden (60%) , Australia (60%) , South Africa (41%) , and the United States (35.1%) .
Two risk factors contributed to the development of WMSDs in our nurses, namely working more than 10 hours per day and being underweight. Working more than 10 hours per day causes both physical and psychological stress. Work stress and WMSDs have been a recent area of interest for researchers. A systematic review conducted in the Netherlands showed that job-related stress was a significant risk factor for upper extremity pain in both high- and low-quality studies . In addition, back and leg complaints have been positively associated with hours worked per week, especially among nurses working more than 35 hours/week . A decrease in the recovery time between shifts results in an increase in the expression of pain . Workloads and stress have been associated not only with pain but also with injuries. Clark et al. found that high workloads were associated with a 50 to 200% increase in the likelihood of needle stick injuries and near misses among hospital nurses .
Prior studies have demonstrated a strong association between being overweight and WMSDs; however, this report showed that being underweight has a strong and significant association with WMSDs . It is possible that this finding indicates that being underweight is related to a lack of physical strength .
Our nursing population is similar to the other nursing populations in other health facilities in the Kingdom. As the Kingdom relies on the same nursing workforce consisting of nurse of similar age groups, nationalities and racial backgrounds, the only difference lies in their geographical distribution. As a result, it is possible to generalize our results to other nursing populations across the Kingdom.
The advantage of our study is that it explores all pain-related complaints, while other studies explored only pain [1, 14, 17]. In addition, our study includes multiple body parts, unlike other studies that included only one site [14, 15, 28]. One disadvantage of the present study is the possibility of incomplete symptom recall, particularly if the last symptom occurred many months before the questionnaire was completed. Nevertheless, the study duration was based on previous similar studies.
The present study indicated that WMSDs are common among nurses at a tertiary care centre in Saudi Arabia, and the frequency of symptoms is consistent with that reported from other facilities. Risk factors that contributed to the development of WMSDs were prolonged shifts and being underweight, which are factors that may be difficult to avoid. As a result, it may be beneficial for hospital administrations to adopt certain strategies, such as shorter shifts in the most at-risk departments, programs emphasising proper nutrition, or the inclusion of additional breaks to allow nurses to eat. Future studies are needed to evaluate the most effective methods for WMSD prevention. For now, special referrals are performed for certain cases with persistent musculoskeletal symptoms. Because working in the obstetrics and gynaecology department is considered protective for back pain, a follow-up will be performed to determine which strategies are used by this department and how these strategies can be shared with the rest of the hospital departments.
The author would like to thank Dr. Bassem Al-Deek (Professor of Community Medicine) for his help with the statistical analysis.
- Tinubu BM, Mbada CE, Oyeyemi AL, Fabunmi AA: Work-related musculoskeletal disorders among nurses in Ibadan, South-west Nigeria: a cross-sectional survey. BMC Musculoskelet Disord. 2010, 20: 12-View ArticleGoogle Scholar
- Trinkoff AM, Lipscomb JA, Geiger-Brown J: Musculoskeletal problems of the neck, shoulder, and back and functional consequences in nurses. Brady B. Am J Ind Med. 2002, 41: 170-178. 10.1002/ajim.10048.PubMedView ArticleGoogle Scholar
- Gurgueira GP, Alexandre NM, Corrêa Filho HR: Self-reported musculoskeletal symptoms among nursing personnel. Rev Lat Am Enfermagem. 2003, 11: 608-613. 10.1590/S0104-11692003000500007.PubMedView ArticleGoogle Scholar
- Alexopoulos EC, Burdorf A, Kalokerinou A: Risk factors for musculoskeletal disorders among nursing personnel in Greek hospitals. Int Arch Occup Environ Health. 2003, 76: 289-294.PubMedGoogle Scholar
- Tezel A: Musculoskeletal complaints among a group of Turkish nurses. Int J Neurosc. 2005, 115: 871-880. 10.1080/00207450590897941.View ArticleGoogle Scholar
- Smith DR, Mihashi M, Adachi Y, Koga H, Ishitake T: A detailed analysis of musculoskeletal disorder risk factors among Japanese nurses. J Safety Res. 2006, 37: 195-200. 10.1016/j.jsr.2006.01.004.PubMedView ArticleGoogle Scholar
- Smith DR, Leggat PA: Musculoskeletal disorders among rural Australian nursing students. Aust J Rural Health. 2004, 12: 241-245. 10.1111/j.1440-1854.2004.00620.x.PubMedView ArticleGoogle Scholar
- Al-Arfaj AS, Alballa SR, Al-Dalaan AN, et al: Musculoskeletal pain in the community. Saudi Med J. 2003, 24: 863-867.PubMedGoogle Scholar
- Arabi Y, Venkatesh S, Haddad S, Al Shimemeri A, Al Malik S: A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization. Int J Qual Health Care. 2002, 14: 403-410. 10.1093/intqhc/14.5.403.PubMedView ArticleGoogle Scholar
- Kuorinka I, Jonsson B, Kilbom A, et al: Standardized Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987, 18: 233-237. 10.1016/0003-6870(87)90010-X.PubMedView ArticleGoogle Scholar
- Ibarra-Mejia G, Ware BF, Garcia JA, Marley AJ: Musculoskeletal pain and discomfort symptoms in hospital nurse personnel in Juarez, Mexico. Int J Ind Eng. 2009, : 550-555.Google Scholar
- Yassi A, Gilbert M, Cvitkovich Y: Trends in injuries, illnesses, and policies in Canadian healthcare workplaces. Can J Public Health. 2005, 96: 333-339.PubMedGoogle Scholar
- Smith DR, Wei N, Zhao L, et al: Musculoskeletal complaints and psychosocial risk factors among Chinese hospital nurses. Occup Med (Lond). 2004, 54: 579-582. 10.1093/occmed/kqh117.View ArticleGoogle Scholar
- Sikiru L, Hanifa S: Prevalence and risk factors of low back pain among nurses in a typical Nigerian hospital. Afr Health Sci. 2010, 10: 26-30.PubMedPubMed CentralGoogle Scholar
- Maul I, Läubli T, Klipstein A, Krueger H: Course of low back pain among nurses: a longitudinal study across eight years. Occup Environ Med. 2003, 60: 497-503. 10.1136/oem.60.7.497.PubMedPubMed CentralView ArticleGoogle Scholar
- Josephson M, Lagerstrm M, Hagberg M, Hjelm EW: Musculoskeletal symptoms and job strain among nursing personnel: a study over a three year period. Occup Environ Med. 1997, 54: 681-685. 10.1136/oem.54.9.681.PubMedPubMed CentralView ArticleGoogle Scholar
- Lorusso A, Bruno S, L’Abbate N: A review of low back pain and musculoskeletal disorders among Italian nursing personnel. Ind Health. 2007, 45: 637-644. 10.2486/indhealth.45.637.PubMedView ArticleGoogle Scholar
- Leggat PA, Smith DR, Clark MJ: Prevalence and correlates of low back pain among occupational therapy students in Northern Queensland. Can J Occup Ther. 2008, 75: 35-41. 10.2182/cjot.07.014.PubMedView ArticleGoogle Scholar
- Vieira ER, Kumar S, Coury HJ, Narayan Y: Low back problems and possible improvements in nursing jobs. J Adv Nurs. 2006, 55: 79-89. 10.1111/j.1365-2648.2006.03877.x.PubMedView ArticleGoogle Scholar
- Smedley J, Trevelyan F, Inskip H, Buckle P, Cooper C, Coggon D: Impact of ergonomic intervention on back pain among nurses. Scand J Work Environ Health. 2003, 29: 117-123. 10.5271/sjweh.713.PubMedView ArticleGoogle Scholar
- Niedhammer I, Lert F, Marne MJ: Back pain and associated factors in French nurses. Int Arch Occup Environ Health. 1994, 66: 349-357. 10.1007/BF00378369.PubMedView ArticleGoogle Scholar
- Yip Y: A study of work stress, patient handling activities and the risk of low back pain among nurses in Hong Kong. J Adv Nurs. 2001, 36: 794-804. 10.1046/j.1365-2648.2001.02037.x.PubMedView ArticleGoogle Scholar
- Lipscomb J, Trinkoff A, Brady B, Geiger-Brown J: Health care system changes and reported musculoskeletal disorders among registered nurses. Am J Public Health. 2004, 94: 1431-1435. 10.2105/AJPH.94.8.1431.PubMedPubMed CentralView ArticleGoogle Scholar
- Bálint GP, Korda J, Hangody L, Bálint PV: Regional musculoskeletal conditions: foot and ankle disorders. Best Pract Res Clin Rheumatol. 2003, 17: 87-111. 10.1016/S1521-6942(02)00103-1.PubMedView ArticleGoogle Scholar
- Huang YC, Wang LY, Wang HC, Chang KL, Leong CP: The relationship between the flexible flatfoot and plantar fasciitis: ultrasonographic evaluation. Chang Gung Med J. 2004, 27: 443-448.PubMedGoogle Scholar
- Lagerström M, Wenemark M, Hagberg M, Hjelm EW: Occupational and individual factors related to musculoskeletal symptoms in five body regions among Swedish nursing personnel. Int Arch Occup Environ Health. 1995, 68: 27-35.PubMedView ArticleGoogle Scholar
- Botha WE, Bridger RS: Anthropometric variability, equipment usability and musculoskeletal pain in a group of nurses in the Western Cape. Appl Ergon. 1998, 29: 481-490. 10.1016/S0003-6870(97)00081-1.PubMedView ArticleGoogle Scholar
- Bongers PM, Kremer AM, ter Laak J: Are psychosocial factors, risk factors for symptoms and signs of the shoulder, elbow, or hand/wrist?: a review of the epidemiological literature. Am J Ind Med. 2002, 41: 315-342. 10.1002/ajim.10050.PubMedView ArticleGoogle Scholar
- Engels JA, van der Gulden JW, Senden TF, van’t Hof B: Work related risk factors for musculoskeletal complaints in the nursing profession: results of a questionnaire survey. Occup Environ Med. 1996, 53: 636-641. 10.1136/oem.53.9.636.PubMedPubMed CentralView ArticleGoogle Scholar
- Clarke SP, Rockett JL, Sloane DM, Aiken LH: Organizational climate, staffing, and safety equipment as predictors of needlestick injuries and near-misses in hospital nurses. Am J Infect Control. 2002, 30: 207-216. 10.1067/mic.2002.123392.PubMedView ArticleGoogle Scholar
- Triolo PK: Occupational health hazards of hospital staff nurses 1989, Part II: Physical, chemical, and biological stressors. AAOHN J. , 37: 274-Google Scholar
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