Skip to main content
  • Original Research Article
  • Open access
  • Published:

Characteristics of low back pain and its associated factors among healthcare providers at a tertiary hospital in Sylhet city: a cross-sectional study



Healthcare providers serve as the backbone of the healthcare system, yet they frequently have low back pain (LBP) due to ergonomic factors. Therefore, the objective of this research was to identify the characteristics of LBP and its associated factors among healthcare providers in Bangladesh.


In this cross-sectional study, 310 medical providers, both male and female, participated. An interviewer-administered questionnaire was used to evaluate data regarding different measures of LBP. The chi-square test and descriptive statistics were used to evaluate the data. To identify the predicted risk factor for LBP, binary logistic regression was performed.


A total of 51.9% of healthcare providers reported having LBP at least once a day in the past 12 months, 25.8% had chronic LBP, 18.1% had to take time off work due to LBP, and 57.89% had received combination medication and physiotherapy in the previous 12 months. The advanced age (41–59 years) adjusted odds ratio (AOR) = 1.83, 95% confidence interval (CI) = 1.04–3.22; p = 0.034), lifting objects (AOR = 2.00, 95% CI = 1.06–3.78; p = 0.032), awkward position (AOR = 6.54, 95% CI = 3.04–14.10; p = 0.001), physical exercise (AOR = 3.81, 95% CI = 2.23–6.52; p = 0.001), and comorbidities (AOR = 1.79, 95% CI = 1.00–3.20) were predictors for developing LBP at least once in the past 12 months.


According to this study, more than half of healthcare professionals reported having LBP at least once in the previous 12 months. Good working posture, ergonomic knowledge, and safe lifting techniques are essential to getting rid of this problem. In addition, good medical attention and regular exercise are required.


Low back pain (LBP) is a major health concern that affects 70–85% of people of all ages worldwide [1, 2]. It is a primary source of work-related impairment and the second-leading cause of occupational absenteeism, as well as lower productivity globally [3, 4]. The burden of LBP is now growing in low- to middle-income nations, burdening the working population globally [5]. In the USA, LBP is the second most prevalent reason for doctor visits and the fifth most common reason for hospitalization [6]. The direct medical care expense for LBP treatment in Germany was €7,000 per patient per year [7], whereas the direct medical care expenditure for LBP in the UK was £1632 million in 1998 [8].

According to the 2010 Global Burden of Disease (GBD) Study, LBP is ranked 6th globally and 10th in South Asia in terms of overall burden (DALYs) out of 291 disease conditions [9]. Recently, the GBD study 2019 reported that LBP is the most prevalent global health problem among 25 diseases, ranking first in terms of disability (YLDs) and rapidly increasing by 47% from 1990 to 2019 [10]. Approximately, 223.5 million cases of LBP and 63.7 million DALYs associated with LBP were reported globally in 2019 [11]. Studies report that LBP is a major health issue for healthcare providers globally [12, 13]. According to the GBD Study, the weight of a disability is proportionate to the severity of one’s health [14]. Every year, thousands of healthcare providers lose their working days, are absent at workstations or on sick leave, visit physicians, receive treatment, and eventually retire early because of LBP [15, 16], which is most prevalent due to biopsychosocial factors [5, 17], age, BMI, working experience [18], ergonomic hazards, awake posture at the workplace, stress, lack of physical exercise [12], professional category, knowledge, and job satisfaction [19]. For all healthcare professionals, the most exposed areas were the lower back, followed by the neck, shoulder, and hand or wrist [20]. The prevalence of LBP among medical professionals globally during the previous year was reported by one systematic review study to be 58% [13], by another to be 54.8% [12], 58% of healthcare workers in Pakistan [21], and 56.9% in Malaysia report having LBP [19].

A population-based study in Bangladesh among the general population reported 18.5% experiencing LBP [22], but very few studies are available regarding LBP among healthcare providers. Islam et al. reported that 76.1% of medical professionals (doctors and nurses) were suffering from LBP [23]. Physical therapists are commonly exposed to work-related musculoskeletal disorders [24]. The causative factors were awake posture, lengthy service time, long duty hours, a lack of physical exercise, and poor job satisfaction [23]. In another study, about 72.9% of nurses experienced LBP at least once in the last year [25]. Literature that discusses the features of LBP and its causes among healthcare professionals in Bangladesh, such as physicians, nurses, medical technologists, hospital assistants, and clerks, is rare. Therefore, the goal of this study was to find out the characteristics of LBP and its associated factors among healthcare professionals in Bangladesh.


Study design and setting

This was descriptive cross-sectional research done at Sylhet MAG Osmani Medical College Hospital from January to February 2020. The protocol for the research, which was carried out in accordance with the 2013 version (revised) of the Helsinki Declaration, was approved by the ethical committee at Sylhet MAG Osmani Medical College Hospital.

Sample size estimation

The sample size for this cross-sectional research was calculated using the formula for estimating proportion: n = Zα2 P (1 − P)/d2, where Zα = 1.96; P = the expected LBP is 73% [25] and d = 5% marginal error. As a result, the minimal sample size for the current study was calculated to be 302. With a 3% chance of incomplete forms, our analysis sets the final minimum necessary sample size at 310.

Subject recruitment criteria

Participants included physicians, nurses, medical technologists, hospital clerks, and aides from Sylhet MAG Osmani Medical College Hospital. Participants were chosen based on their age (20–59 years), at least 1 year of experience working as medical staff, and willingness to participate in the research. Participants with serious pathological problems, such as spine tumors, spinal TB, spinal surgery, scoliosis, or who are pregnant and on leave from work, were not eligible for the research.

Data collection procedure

A list of 970 employees, including 200 doctors, 405 nurses, 50 medical technologists, 60 hospital clerks, and 255 hospital aids who meet the inclusion and exclusion criteria, was recruited by using a one-stage stratified cluster sampling technique [15]. In the beginning, healthcare practitioners were categorized based on their respective professions. Following the process of stratification, a simple random sample technique was used, using Microsoft Excel software, to enlist a total of 64 physicians, 129 nurses, 16 medical technicians, 19 hospital clerks, and 82 hospital aides. This sampling approach employed proportional allocation. A flowchart describing the technique seen in Fig. 1 has been included.

Fig. 1
figure 1

Flowchart of the allocation of the participants

An interviewer-administered questionnaire was split into two parts to obtain information on LBP and associated risk factors. The first portion comprises questions about socio-demographics and occupations. Age, gender, height and weight, body mass index (BMI), marital status, monthly wages, and smoking habit are all sociodemographic questions. The participant’s profession, years of experience, type of occupation, daily working hours, prolonged standing and sitting time at work, lifting objects, transferring patients, working in awkward positions, exercise habits, history of comorbidity, perceived stress level at work, and job satisfaction were among the occupational questions.

The second section includes the duration of LBP (at least 1 day or daily pain for at least 3 months during the past 12 months), pain intensity, seeking medical care, receiving treatment for LBP, and type of treatment. The modified Nordic musculoskeletal questionnaire was used for collecting LBP-related information [18, 25, 26]. A body diagram with a designated location on the lower back is shown on the questionnaire. To assess LBP, the questionnaire has acceptable validity and reliability [27]. The first question about LBP (primarily pain, numbness, tingling, aching, stiffness, or burning of the lower back area) considers the pain that has lasted for at least 1 day during the past 12 months. The other questions about LBP measures are chronic pain (daily pain for at least 3 months), intense pain (0 = no pain and 10 = most severe pain), seeking medical care (visiting a doctor or physiotherapist because of LBP during the last 12 months), receiving treatment for LBP, and type of treatment.

Perceived stress level during duty hours was assessed by a 5-point Likert scale, where 1 = no stress and 5 = very severe stress [28], and job satisfaction was assessed by a question: “Considering everything (co-workers, supervisor, and availability of equipment and resources) in your department, how satisfied are you with your job?” The question was rated on a 5-point Likert scale, ranging from 1 strongly agree to 5 strongly disagree [25].

In order to address language challenges, enhance the data collection process, and ensure questionnaire uniformity, we undertook the first step of translating the complete questionnaire into Bangla. Additionally, we ensured the availability of both the Bangla-translated version and the original English version of the questionnaire during data collection. In order to assess cross-cultural adaptation, an initial sample of 16 healthcare professionals from external institutions underwent testing using the questionnaire. However, it is important to note that the data obtained from this sample were not included in the final analysis. Each question took no more than 20 min to complete.

Management of variables

Independent variables

Age and BMI were initially gathered as continuous variables, which were then classified; age was split into two groups: < 40 years and > 40 years, and BMI was classified as underweight, normal, overweight, and obese by the Asian classification. Additionally, the following factors were coded: educational level (undergraduate or graduate and above), monthly family income (≤ 30,000 taka or > 30,000 taka), job experience (≤ 5 years or > 5 years), daily duty hours (≤ 8 h or > 8 h), prolonged sitting time while working (≤ 2 h or > 2 h), prolonged standing time while working (≤ 2 h or > 2 h), need to lift objects or patients at work (yes or no), need to transfer patients at work (yes or no), have to work in an awkward position (yes or no), have any comorbidity (yes or no), have a smoking habit (yes or no), and perform regular physical exercise (yes + occasionally = yes or no) as binary variables.

Data analysis

In the beginning, data was logically ordered using Microsoft Excel for Windows. The SPSS 25.0 (IBM Corporation, New York, USA) program for Windows was used to analyze the data. The mean and 95% confidence interval are shown for the continuous variables. Categorical variables are shown as percentages and integers. The Pearson chi-square test or Fisher’s exact test was used to find out whether there was an association between the variables. In binary logistic regression, odds ratios (OR) and a 95% confidence interval were used to determine the predicted risk factor for LBP (CI). The significance threshold was set at < 0.05.


Initially, 332 people were evaluated, of which 5 had undergone prior spinal surgery, 8 were pregnant, 1 had spinal TB, 2 had serious sickness, and 7 were unwilling to participate. As there were no incomplete forms, this research included 310 people, with 59.7% being males and 40% being women. The mean age of the participants was 41.44 ± 8.31 years, the majority were married (91.3%), and the mean BMI was 24.93 ± 3.42 kg/m2. A total of 59.4% of the participants have more than 10 years of work experience. A total of 73.5% of the participants work for fewer than 8 h each day. Table 1 represents the sociodemographic information of the study participants. In the last 12 months, 51.9% of individuals suffered LBP on at least 1 day, and 25.8% reported persistent LBP. A total of 14.90% of the subjects who reported discomfort had severe, intense LBP. The features of LBP among the research participants are shown in Table 2.

Table 1 Baseline characteristics of the respondents (n = 310)
Table 2 Prevalence of LBP with different LBP-related measure during last 12 months (n = 310)

Association between low back pain and biopsychosocial factors

Both the 1-day (p = 0.005) and chronic (p = 0.028) durations of LBP were strongly correlated with the participants’ age groups. In this investigation, there was no evidence of a connection between low back discomfort and BMI. Chronic LBP was substantially correlated with marital status (p = 0.035). LBP with chronic diseases and employment experience were significantly associated (p = 0.014). In this study, there was no correlation between chronic LBP and job stress; however, there was a substantial correlation between perceived job stress and acute LBP. Table 3 is a list of the variables’ specifics.

Table 3 Association between biopsychosocial factors and low back pain (n = 310)

Risk factors for back pain

According to binary logistic regression analysis, among people who experienced at least 1 day of discomfort in the previous year, the subgroup of participants with the highest odds of pain was those who were 41–59 years of age (AOR = 1.83, 95% CI = 1.04–3.22; p = 0.034). Females were more likely to develop pain (AOR = 1.47, 95% CI = 0.86–2.52; p = 0.159), people who have to lift weights at work are twice as likely to develop back pain (AOR = 2.00, 95% CI = 1.06–3.78; p = 0.032), and those involved in patient transfer are more likely to develop LBP (AOR = 1.68, 95% CI = 0.87–3.24; p = 0.119). People who work in awkward postures are more likely to develop LBP (AOR = 6.54, 95% CI = 3.04–14.10; p < 0.001). People who do not exercise regularly are almost four times more likely to develop LBP than those who do (AOR = 3.81, 95% CI = 2.23–6.52; p < 0.001), and those with other comorbidities are also more likely to develop LBP (AOR = 1.79, 95% CI = 1.00–3.20; p = 0.048). Table 4 displays the results of the binary logistic regression analysis.

Table 4 Multivariable binary logistic regression analysis of risk factors and different LBP-related measure (n = 310)


This study found that 51.9% of healthcare workers had LBP at least once in the previous year, which was lower than the 76.1% reported by Islam et al. among Bangladeshi doctors and nurses [23] and higher than the 18.5% of the general population in Bangladesh. Also, the prevalence of LBP in our neighboring countries is about 45.7% in India [29] and 58% in Pakistan [21]. The 1-year prevalence of LBP in developing countries such as Malaysia and Saudi Arabia is approximately 56.9% [19] and 73.9% [15]. The prevalence in Turkey is about 39% at a tertiary level hospital [18] and 61.3% in a multicenter study among 1600 healthcare providers [28]. The prevalence of LBP in a lower-income country like Uganda is about 39.6% at a tertiary-level hospital. A systematic review study in Iran reported a global 1-year prevalence of 58% for LBP [13], while another study reported 54.8% [12]. The discrepancies in the results can be brought on by the varying sample size, various working circumstances, participant perceptions of pain, or the workload of healthcare professionals at work.

This study revealed the highest prevalence was in hospital aids (57.3%) and the lowest in medical technologists (37.5%) among the five healthcare provider groups, which was a higher prevalence rate than in India (43.8%) [30] and in Turkey (53.5%) among hospital aids. Hospital aids are class-4 workers responsible for manually lifting and transporting patients or objects and assisting other healthcare providers in various hospital settings [30]. This current study also reported that 52.7% of nurses, 48.4% of physicians, and 47.4% of hospital clerks reported experiencing LBP for at least 1 day in the past 12 months. Whereas in Saudi Arabia, 72.9% of nurses and 73.2% of physicians were affected [15]; in Turkey, 77.1% of nurses, 63.3% of physicians, 69.6% of medical technologists, and 54.1% of hospital clerks were affected [28].

In this study, 48.4% of physicians reported having LBP at least once in the past 12 months. In the hospital context, doctors play a crucial role in patient evaluation, drug prescription, and surgical intervention—tasks that frequently put them at risk for LBP. According to systematic review research, 36 to 68% of doctors have LBP annually [31]. On the other hand, 52.7% of nurses experienced LBP; however, Sanjoy et al. reported that in their earlier study, 72.9% of nurses had LBP, while another study in Taiwan revealed 66.0% of nurses had LBP [26]. The discrepancy in these findings might be attributed to the hospital’s newly hired nurses, who decreased the workload (about 200 nurses were hired in 2018) [32]. Another survey in the quarter, however, had a similar result (54.3%) to our study [16].

In our survey, 25.8% of healthcare professionals reported having chronic LBP, 14.90% of them reported having severe pain, 36.8% had seen a doctor or physiotherapist, and 18.1% had missed work as a result of LBP. Those who had LBP received medical treatment in the sum of 70.80%, with a combination of medicine and physical therapy being the most common form of care (57.89%). Similar outcomes were also shown in Turkey, where 25.8% of patients reported having severe lower back pain, 33.3% consulted with a doctor, and 72.2% received medical care and physiotherapy [28]. In another study, 30.5% of individuals reported having sever intense pain, of which 32.6% sought medical advice and 84.6% received both medical care and physiotherapy [18].

This current study found a significant association between individual and work-related factors for at least 1 day of LBP in the past 12 months among the healthcare providers, including age category, gender, comorbidity, perceived stress during work, physical exercise, working in an awkward position, lifting objects, and patients’ transfers. Previous studies in Turkey among healthcare providers revealed a significant association with their age category, gender, perceived stress at work, physical exercise, lifting objects, and patient transferring [18, 28]; age category, comorbidity, physical exercise, and lifting objects in Pakistan [21]; and age category, lifting objects, and physical exercise in Saudi Arabia [15]. A meta-analysis conducted in Iran found that age, stress on the job, physical activity, and awkward posture are all significant risk factors for LBP in healthcare providers [12]. In the current study, advanced age (60.2% of respondents were between the ages of 41 and 59) was substantially linked to the development of LBP. An Iranian meta-analysis research, a cross-sectional study in Pakistan, and a Turkish study all corroborate this conclusion [12, 21, 28].

According to this study, female respondents reported having greater LBP than male respondents. This study validated prior research from Turkey, Saudi Arabia, and Ethiopia [15, 28, 33]. It may be due to physiological factors (menstruation and pregnancy) and anatomical differences between males and females [34,35,36,37]. One of the main indicators of developing LBP is an awkward posture. Throughout their shifts, healthcare professionals, particularly nurses, doctors, and hospital assistants, frequently bend and twist. Moreover, research in Iran found that excessive posture flexion is the main cause of LBP among nurses [38]. Physical activity improves one’s health and well-being [39]. Physical activity improves one’s health and well-being [35]. This research found a link between physical activity and LBP for at least 1 day, persistent LBP, seeing the doctor, and taking time off for illness. Exercise of moderate to high intensity can prevent 11–16% of frequent or chronic LBP, according to meta-analysis research [40]. Physical activity among office employees is helpful and can prevent LBP, according to another systematic review [41]. This study did not find a significant association between occupation categories, as similarly reported in Turkey [18]. This study also did not find a significant association between BMI. A cohort study by Jensen et al. revealed BMI was not a significant risk factor for LBP among healthcare providers [42].

Strengths and limitations

A probability sampling technique was used to choose the study participants, and valid data collection instruments were used to focus on the participants’ biopsychosocial factors, personal factors, work-related factors, job satisfaction, and stress at work. This study, on the other hand, was cross-sectional in nature and a single-center survey with a modestly sized sample of healthcare providers. This study cannot eliminate the chance of recall bias with a few questions, for example, perceived stress during duty, job satisfaction, and LBP. Our study was unable to rule out age as a contributing factor in low back pain because it focused on work-related low back pain and included healthcare workers of all ages as study participants.


Healthcare providers are the backbone of the healthcare system in developed and developing countries. More than half of the healthcare professionals in this research reported having LBP at least once over the previous 12 months, and one-fourth reported having chronic LBP, both of which had a significant negative impact on their work and personal lives and posed a threat to the public’s health. Therefore, promoting awareness of correct patient handling and safe lifting techniques, as well as ongoing campaigns for ergonomic understanding of optimal work posture, might lessen the debilitating effects of LBP. Additionally, a good medical examination and medicines are necessary for the prevention, management, and treatment of comorbidity. Promote regular physical activity with a focus on increasing the number of healthcare professionals hired in the hospital environment. A nationwide cohort study focused on multi-level healthcare settings should be done to find out the exact scenario of LBP and its associated factors among healthcare providers.

Availability of data and materials

The dataset is available upon request.


  1. Andersson GB. Epidemiological features of chronic low-back pain. Lancet. 1999;354:585–91.

    Article  Google Scholar 

  2. Buchbinder R, van Tulder M, Öberg B, Costa LM, Woolf A, Schoene M, et al. Low back pain: a call for action. Lancet. 2018;391(10137):2384–8.

    Article  PubMed  Google Scholar 

  3. Lidgren L. The bone and joint decade 2000–2010. Vol. 81. Switzerland: Bulletin of the World Health Organization; 2003. p. 629.

    Google Scholar 

  4. Rashid M, Kristofferzon ML, Nilsson A, Heiden M. Factors associated with return to work among people on work absence due to long-term neck or back pain : a narrative systematic review. BMJ Open. 2017;7:1–10.

    Article  CAS  Google Scholar 

  5. Hartvigsen J, Hancock MJ, Kongsted A, Louw Q, Ferreira ML, Genevay S, et al. What low back pain is and why we need to pay attention. Lancet. 2018;391(10137):2356-67.

  6. Violante FS, Mattioli S, Bonfiglioli R. Low-back pain. Handb Clin Neurol. 2015;131:397–410.

    Article  PubMed  Google Scholar 

  7. Juniper M, Le TK, Mladsi D. The epidemiology, economic burden, and pharmacological treatment of chronic low back pain in France, Germany, Italy, Spain and the UK: a literature-based review. Expert Opin Pharmacother. 2009;10(16):2581–92.

    Article  CAS  PubMed  Google Scholar 

  8. Maniadakis N, Gray A. The economic burden of back pain in the UK. Pain. 2000;84(1):95–103.

    Article  PubMed  Google Scholar 

  9. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. The global burden of low back pain: estimates from the Global Burden of Disease 2010 Study. Ann Rheum Dis. 2014;73(6):968–74.

    Article  PubMed  Google Scholar 

  10. Cieza A, Causey K, Kamenov K, Hanson SW, Chatterji S, Vos T. Global estimates of the need for rehabilitation based on the Global Burden of Disease Study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;10267:2006–17.

    Article  Google Scholar 

  11. Wang L, Ye H, Li Z, Lu C, Ye J, Liao M, et al. Epidemiological trends of low back pain at the global, regional, and national levels. Eur Spine J. 2022;31(4):953–62.

    Article  CAS  PubMed  Google Scholar 

  12. Rezaei B, Mousavi E, Heshmati B, Asadi S. Low back pain and its related risk factors in health care providers at hospitals: a systematic review. Ann Med Surg. 2021;70(September): 102903.

    Article  Google Scholar 

  13. Mehrdad R, Shams-Hosseini NS, Aghdaei S, Yousefian M. Prevalence of low back pain in health care workers and comparison with other occupational categories in Iran: a systematic review. Iran J Med Sci. 2016;41(6):467–78.

    PubMed  Google Scholar 

  14. Maher C, Ferreira G. Time to reconsider what Global Burden of Disease studies really tell us about low back pain. Ann Rheum Dis. 2022;81(3):306–8.

    Article  PubMed  Google Scholar 

  15. Alnaami I, Awadalla NJ, Alkhairy M, Alburidy S, Alqarni A, Algarni A, et al. Prevalence and factors associated with low back pain among health care workers in southwestern Saudi Arabia. BMC Musculoskelet Disord. 2019;20(1):1–7.

    Article  Google Scholar 

  16. Abolfotouh SM, Mahmoud K, Faraj K, Moammer G, Elsayed A, Abolfotouh MA. Prevalence, consequences and predictors of low back pain among nurses in a tertiary care setting. Int Orthop. 2015;39(12):2439–49.

    Article  PubMed  Google Scholar 

  17. Dunn KM, Croft PR. Epidemiology and natural history of low back pain. Eura Medicophys. 2004;40(1):9–13.

    CAS  PubMed  Google Scholar 

  18. Şimşek Ş, Yaǧci N, Şenol H. Prevalence of and risk factors for low back pain among healthcare workers in Denizli. Agri. 2017;29(2):71–8.

    PubMed  Google Scholar 

  19. Wong T, Teo N, Kyaw M. Prevalence and risk factors associated with low back pain among health care providers in a district hospital. Malaysian Orthop J. 2010;4(2):23–8.

    Article  Google Scholar 

  20. Jacquier-Bret J, Gorce P. Prevalence of body area work-related musculoskeletal disorders among healthcare professionals: a systematic review. Int J Environ Res Public Health. 2023;20(1):841.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Jamali T, Abbas A, Tanzil S, Bazmi IS. Frequency and Severity of low back pain among healthcare providers and associated factors in a tertiary care, public hospital in Karachi. Occup Med Heal Aff. 2019;7(March):1–5.

    Google Scholar 

  22. Shoaib M, Majumder M, Hakim F, Bandhan IH, Razzaque MA, Haq SA, et al. Low back pain in the Bangladeshi adult sectional population : a cross- ­ national survey. BMJ Open. 2022;12(9):e059192.

    Article  Google Scholar 

  23. Islam MJ, Haseen F, Saha SK, Khasru MR, Morshed M, Salek A. Prevalence and risk factors of low back pain among medical professionals working in selected tertiary hospitals in Dhaka City. Bangladesh J Neurosurg. 2020;9(2):135–41.

    Article  Google Scholar 

  24. Abu-Taleb W, Youssef AR. Work-related musculoskeletal disorders among Egyptian physical therapists. Bull Fac Phys Ther. 2021;26(7):1–11.

    Article  Google Scholar 

  25. Sanjoy SS, Ahsan GU, Nabi H, Joy ZF, Hossain A. Occupational factors and low back pain: a cross-sectional study of Bangladeshi female nurses. BMC Res Notes. 2017;10(1):1–6.

    Article  Google Scholar 

  26. Feng CK, Chen ML, Mao IF. Prevalence of and risk factors for different measures of low back pain among female nursing aides in Taiwanese nursing homes. BMC Musculoskelet Disord. 2007;8:1–9.

    Article  Google Scholar 

  27. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987;18:233–7.

    Article  CAS  PubMed  Google Scholar 

  28. Karahan A, Kav S, Abbasoglu A, Dogan N. Low back pain: prevalence and associated risk factors among hospital staff. J Adv Nurs. 2009;65(3):516–24.

    Article  PubMed  Google Scholar 

  29. Yasobant S, Rajkumar P. Work-related musculoskeletal disorders among health care professionals: a cross-sectional assessment of risk factors in a tertiary hospital. India Indian J Occup Environ Med. 2014;18(2):75–81.

    Article  PubMed  Google Scholar 

  30. Parikh S, Mehta J, Thakkar M, Thakkar N, Gauswami M. Prevalence of musculoskeletal disorders and its risk factors among class 4 workers of rural tertiary health-care hospitals in Western India: a cross-sectional study. Natl J Physiol Pharm Pharmacol. 2022;0:1.

    Google Scholar 

  31. Oude Hengel KM, Visser B, Sluiter JK. The prevalence and incidence of musculoskeletal symptoms among hospital physicians: a systematic review. Int Arch Occup Environ Health. 2011;84(2):115–9.

    Article  PubMed  Google Scholar 

  32. Services/Autism N, Welfare M of H and F, Bangladesh. G of the PR of. Nursing--g-18-HSD--409.PDF. 2018.

  33. Negash NA, Tadele A, Ferede AJ. Prevalence and associated factors of low back pain among healthcare professionals at University of Gondar Comprehensive and Specialized Hospital, northwest Ethiopia: cross-sectional study. J Pain Res. 2022;15(May):1543–52.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Smith DR, Mihashi M, Adachi Y, Shouyama Y, Mouri F, Ishibashi N, et al. Menstrual disorders and their influence on low back pain among Japanese nurses. Ind Health. 2009;47(3):301–12.

    Article  PubMed  Google Scholar 

  35. Borg-Stein J, Dugan SA. Musculoskeletal disorders of pregnancy, delivery and postpartum. Phys Med Rehabil Clin N Am. 2007;18(3):459–76.

    Article  PubMed  Google Scholar 

  36. Das B, Ghosh T, Gangopadhyay S. Assessment of ergonomic and occupational health-related problems among female prawn seed collectors of Sunderbans, West Bengal. India Int J Occup Saf Ergon. 2012;18(4):531–40.

    Article  PubMed  Google Scholar 

  37. Mijena GF, Geda B, Dheresa M, Fage SG. Low back pain among nurses working at public hospitals in eastern Ethiopia. J Pain Res. 2020;13:1349–57. Available from:

  38. Nourollahi M, Afshari D, Dianat I. Awkward trunk postures and their relationship with low back pain in hospital nurses. IOS Press. 2018;59:317–23.

    Google Scholar 

  39. World Health Organization. Global action plan on physical activity 2018–2030: more active people for a healthier world. 2018.

    Google Scholar 

  40. Shiri R, Falah-Hassani K. Does leisure time physical activity protect against low back pain? Systematic review and meta-analysis of 36 prospective cohort studies. Br J Sports Med. 2017;51(19):1410–8.

    Article  PubMed  Google Scholar 

  41. Gobbo S, Bullo V, Bergamo M, Duregon F, Vendramin B, Battista F, et al. Physical exercise is confirmed to reduce low back pain symptoms in office workers: a systematic review of the evidence to improve best practices in the workplace. J Funct Morphol Kinesiol. 2019;4(3):43.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Jensen JN, Holtermann A, Clausen T, Mortensen OS, Carneiro IG, Andersen LL. The greatest risk for low-back pain among newly educated female health care workers; body weight or physical work load? BMC Musculoskelet Disord. 2012;13:87.

Download references


The authors are grateful to all of the respondents who were conducting this study and the administrations of MAG Osmani Medical College Hospital, Sylhet. Special acknowledgement to Dr. Abul Kalam Azad, Assistant Director (admin & training) of MAG Osmani Medical College Hospital, Sylhet.


This research received no external funding.

Author information

Authors and Affiliations



Conceptualization, SA and MJI; methodology, SA and MJI; software, SA and MJI; validation and investigation, SA, MJI, KMKI, MAM, SKR, and SRC; formal analysis, SA and MJI; writing—original draft preparation, SA and MJI; and writing—review and editing, SA and MJI. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Sohel Ahmed.

Ethics declarations

Ethics approval and consent to participate

Approved by the ethical review board of MAG Osmani Medical College Hospital, Sylhet-3100, Bangladesh. Written consent was taken from the participants prior to participation in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Islam, M.J., Ahmed, S., Islam, K.M.K. et al. Characteristics of low back pain and its associated factors among healthcare providers at a tertiary hospital in Sylhet city: a cross-sectional study. Bull Fac Phys Ther 28, 42 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: