Literature DB >> 27853326

Prevalence of Low Back Pain in Health Care Workers and Comparison with Other Occupational Categories in Iran: A Systematic Review.

Ramin Mehrdad1, Narges Sadat Shams-Hosseini1, Sara Aghdaei1, Mina Yousefian1.   

Abstract

BACKGROUND: There are few research studies evaluating the significance of low back pain (LBP) in Iran, even though the majority of locally published surveys are written in the Persian language. In the present review study, we aimed at appraising published articles related to the burden of LBP and its divergence among different jobs.
METHODS: A comprehensive search was conducted in all accessible national and international electronic databases from 1948 to mid-2012. The international electronic databases were MEDLINE (PubMed), Web of Sciences, Google Scholar, Scopus, CINAHL, and the Iranian equivalents were SID, IRANDOC, IranMedex, and Magiran. The main search terms were musculoskeletal disorders, musculoskeletal symptoms, low back pain, back pain, and Iran. All keywords were searched electronically by three Boolean operators. The inclusion criteria were age ≥10 years, study focus on LBP prevalence, inclusion of both genders, and no limitation to the study design. A dedicated STROBE questionnaire was developed as a critical appraisal tool and the quality of the identified literature was examined according to the 5-point Linker scale. Articles scoring ≥3 on the Linker scale were appraised. Each literature was screened by four reviewers independently and possible disagreements were streamlined in a joint review meeting. The extracted data were entered into a dedicated table using Microsoft Office Excel program. Data were analyzed for homogeneity using the STATA software (version 11).
RESULTS: Of the 51 articles that were included in the present review study, 35 articles reported 1-year LBP with Nordic questionnaire and 3 articles reported point prevalence of LBP. The calculated global prevalence of 1-year LBP in workers was 25% and LBP was the most prevalent issue among health care workers. There was no association between the prevalence of LBP and job classification among workers.
CONCLUSION: LBP is the most common issue among health care workers. It is recommended that future research should focus on this job category for investigating LBP prevalence. This allows parameters that increase the frequency of LBP to be assessed and subsequently permits the reduction or elimination of such factors.

Entities:  

Keywords:  Epidemiology; Health personnel; Healthy worker effect; Low back pain; Musculoskeletal diseases; Prevalence

Year:  2016        PMID: 27853326      PMCID: PMC5106561     

Source DB:  PubMed          Journal:  Iran J Med Sci        ISSN: 0253-0716


What’s Known Low back pain (LBP) has become a common symptom and a major health concern in productive age for both males and females in developing countries. Work characteristics may cause a broad range of musculoskeletal disorders, particularly LBP. There is limited evidence regarding the burden of LBP in Iran, with the majority of the locally published surveys being presented in Farsi. What’s New Global 1-year low-back year in acceptable studies is 24%. Global 1-year prevalence of LBP in workers, office workers, and health-care workers was 25%, 18%, and 58%, respectively. Knowledge of the prevalence of LBP among different jobs and their risk factors is critical. Whole prevalence of LBP was 40% in females and 39% in males.

Introduction

During the past decades, low back pain (LBP) has been one of the most leading causes of disease burden across the developed and developing countries.[1] LBP is widespread and is the most disabling factor in the workplace.[2] With a rapid transition to industrial lifestyle, LBP imposes a significant economic burden on governments, particularly in terms of health system costs, lost working days, reduced productivity and increased disability.[3,4] Work-related LBP is estimated to cause 818,000 disability-adjusted life years lost (DALYs) annually.[5] LBP has become a growing common symptom and a major health concern for the economically productive age group in the developing countries.[6] Iran, as one of the developing countries in the Middle East, has a population of 75 million (50% are under 25 years) and 2 million work units. With such a high level of young adults, a major proportion of LBP is accelerated or exacerbated by occupational conditions.[7] Awkward posture, repetitive work, manual handling of loads, overuse and work sites ill-adapted may cause a broad range of musculoskeletal disorders, particularly low back pain. Moreover, the information related to the prevalence rate of LBP among different jobs and associated risk factors is critical to provide adequate prevention. There are few research studies evaluating the burden of LBP in Iran, even though the majority of locally published surveys are written in the Persian language. In the present review study, we aimed at appraising published research studies related to the burden of LBP and its divergence among different jobs.

Methods and Materials

Search Strategy

A comprehensive search was conducted in all accessible national and international electronic databases from 1948 to mid-2012. The international electronic databases were MEDLINE (PubMed), Web of Sciences, Google Scholar, Scopus, CINAHL, and the Iranian equivalents were SID (Scientific Information Database, www.sid.ir), IRANDOC (Iranian Research Institute for Information Science, www.irandoc.ac.ir), IranMedex (www.iranmedex.com), and Magiran (www.magiran.com). The main search terms were musculoskeletal disorders, musculoskeletal symptoms, low back pain, back pain, and Iran. The search was performed based on keywords in English for all motor engines and the terms in Persian were used for the Persian electronic databases. All keywords were searched electronically by three Boolean operators. The titles and abstracts of all identified literature were screened and duplicated articles were omitted.

Inclusion Criteria

The inclusion criteria were age ≥10 years, study focus on LBP prevalence, inclusion of both genders, and no limitation to the study design. Additionally, the articles should have been written in either the English or the Persian language.

Methodological Appraisal

A dedicated STROBE questionnaire was developed as a critical appraisal tool. The quality of the identified literature was examined as shown in table 1. The modified STROBE questionnaire was scored according to the 5-point Linker scale (1: Incomplete, 2: Fairly complete, 3: Not bad, 4: Good, 5: Well defined) and the mean score of these items was calculated. Articles scoring ≥3 on the Linker scale were appraised. Each literature was screened by four reviewers independently and possible disagreements were streamlined in a joint review meeting.
Table 1

The characteristics of articles included in a systematic review

Primary authorTSS*Age (years)GenderAssessment toolsOccupationPrevalence of LBPScore[#]Study design
Abdinejad F. 2002[8]1,00025-501Question (WL, Ly, PP)Farmer, Nurse, Office worker, Worker, BusinessmanLy=0.154, PP=0.70, WL=0.278 Ly (farmer=17%, nurse=13%, office worker=12.5%, worker=24%, businessman=10%) WL (farmer=37%, nurse=21%, office worker=27%, worker=41%, businessman=13%) PP (farmer=7.5%, nurse=5.5%, office worker=6.5%, worker=11.5%, businessman=4%)3C-S
Aghilinejad M. 2008[9]471Nordic Q (Ly)Airplane pilot, HelicopterLy=(airplane pilot=0.35, helicopter=0.425)4C-S
Bagherinasami M. 2007[10]4,81311-141,2Question (PP, WL)StudentPP=0.15 WL=0.404C-S
Bahrami A. 2009[11]27825-341,2Nordic Q (Ly)Hospital staffLy=0.604C-S
Choobineh A. 2007[12]64222-661,2Nordic Q (Ly)NurseLy=0.543C-S
Lahmi M.A. 2003 and Choobineh A.R. 2007[13]1,43913-811,2Nordic Q (Ly)Hand-woven carpet industryLy=0.454C-S
Choobineh A.R. 2009[14]156Unknown1CCOHS (Ly)Metal industry workerLy=0.54 (welder=62.2%, assemblers=51.2%, turning=63.6%, grinder=36.4%, operators=35.3%)4C-S
Choobineh A.R. 2008[15]45420-601Nordic Q (Ly)Rubber workerLy=0.502C-S
DehghanMenshadi F. 2004[16]13221-601Nordic Q (Ly)Automobile factory employeeLy=0.513C-S
Eskandary D. 2011[17]14521-581Nordic Q (Ly)Automobile factory employeeLy=0.51 (door and exhaust storage, tire and tank installing, tire and parts carriers)4C-S
Eskandary H. 1997[18]1,00015-651,2Question (LW)Office worker, Worker, Businessman, Student, HousewifeLW=0.42 (office worker=38.5%, worker=60%, businessman=38.3%, student=14.8%, housewife=54.2%)3C-S
Fouladidehghi B. 2007[19]1501,2Nordic Q (Ly)Household goods company workerLy=0.234
Ghafari M. 2006[20]13,769Unknown1,2Nordic Q (Ly)Industrial workerLy=0.21 (managers=1.3%, office workers=0.9%, professional workers=1.6%, non-professional workers=2.6%)4
Ghamari F. 2010[21]334Unknown1Nordic Q (Ly)BakeryLy=0.554C-S
Ghasemkhani M. 2005[22]2221-461Nordic Q (Ly)Hammerman, MinerLy=0.81 (worker=82% (18/22), HSE=4.5% (1/22))2
Habibi E. 2011[23]50Unknown1Nordic Q (Ly, L3m, LW)Carrying goods in dairy industryLy=0.86, LW=0.26, L3m=0.54C-S
Habibi E. 2008[24]1,03020-651Nordic Q (Ly)Steel making unit of Zobahan companyLy=0.4074C-S
Habibi E. 2009[25]12022-521,2Nordic Q (Ly)NurseLy=0.893C-S
Habibzade H. 2007[26]110Unknown1,2QuestionNurseLy=0.433C-S
Hosseini M. 2010[27]45Unknown1,2Nordic Q (Ly)Emergency department workerLy=0.514C-S
Jafarinodoshan R. 2011[28]102Unknown1,2Nordic Q (Ly)BankerLy=0.183C-S
Kangarlo H.R. 2006[29]1,931Higher than 20?Spine disordersRetired air force personnelLy=0.143C-S
Keshtkaran A. 2007[30]7531-401,2Nordic Q (Ly, LW)Medical reports department employerLy=0.75, LW=0.454C-S
Khosroabadi A. 2010[31]3641,2Nordic Q (Ly, LW)Medical reports department employerLy=0.5, LW=0.43 Ly (paramedical worker=32%, health worker=57%, medical=61%) LW (paramedical worker=27%, health worker=40%, medical=48.6%)4C-S
Mehrdad R. 2008[32]217Higher than 131Nordic QSolid waste workersLy=0.456 (Iranian workers=36.8%, foreign workers=54.1%)4C-S
Mehrparvar A.H. 2011[33]9223-551Nordic Q (Ly)Food industry workerLy=0.444
Mirmohammadi 2009[34]217;145Nordic Q (Ly)Computer worker, Non-computer workerLy (computer worker=0.62, non-computer worker=0.57)4
MohseniBandpay M.A. 2005[35]4,81311-141,2Nordic QStudentLy=0.17, LM=0.14, L3m=0.154C-S
MohseniBandpay M.A. 2005-2006[36]1,2261,2question (Ly, LM, PP, WL)NurseLy=0.59, LM=0.56, WL=0.62, PP=0.51 (nurse=552 (50.3%), head nurse=81 (63.3%))4C-S
Naslsaraji J. 2008[37]14415-601Nordic Q (Ly)Carpet restoration workerLy=0.83C-S
Naslsaraji J. 2007[38]891Nordic Q (Ly)Construction workerLy=0.503C-S
Pargali N. 2010[39]821,2QuestionDentistLy=0.334C-S
Parviz N. 2006[40]769Unknown1,2Question (PP)NurseUnknown2C-S
Pour Abbas R. 2004[41]971,2Nordic Q (Ly)DentistUnknown2
Rahimi A. 2006[42]18022-501,2QuestionNurseLy=0.434C-S
Rahimifard H. 2010[43]4717-581Nordic Q (Ly)Painting workshop of furniture industryLy=0.384C-S
Rahnama N. 2010[44]91Unknown1Nordic Q (Ly)Loabiran industry workerLy=0.264
Ramezany F. 2006[45]296Unknown1,2QuestionNurseL3m=0.523C-S
Rashidi M. 2007[46]128Unknown1,2UnknownPersonnel of Semnan Azad UniversityUnknown4
Rezaee M. 2011[47]1,43620-801,2Body discomfort chartOffice workerLy=0.37, WL=0.92, PP=0.1374C-S
Sadeghi N. 2009[48]9526-561Body discomfort chartBus driverLy=0.223C-S
Sadeghian F. 2005[49]23519-501,2Nordic Q (Ly)NurseLy=0.494C-S
Saremi M. 2006[50]47Unknown1,2Nordic Q (Ly, LW)DentistLy=0.46, LW=0.194C-S
Shafizadeh K.R. 2011[51]16120-601,2Nordic Q (Ly, LW)ParamedicLy=0.5, LW=0.384C-S
Shamsedini A. 2010[52]34010-151,2Nordic Q (LM), Body mapStudentLM=0.0853
Sharifnia SH. 2010[53]400Unknown1,2Nordic Q (Ly)NurseLy=0.814C-S
Soltanigard Faramarzi R. 2011[54]20Unknown1Nordic Q (Ly)WelderLy=0.522C-S
Tajvar A. 2011[55]384Unknown1Nordic Q (Ly, LW), CTDBakeryLy=0.384C-S

TSS: Total sample size,

Score: Score of modified STROBE questionnaire, Ly: Last year, LM: Last month, LW: Last week, Gender 1: Male, Gender 2: Female, C-S: Cross-sectional study, PP: Point prevalence, WL: Whole life, L3m: Last 3 months

The characteristics of articles included in a systematic review TSS: Total sample size, Score: Score of modified STROBE questionnaire, Ly: Last year, LM: Last month, LW: Last week, Gender 1: Male, Gender 2: Female, C-S: Cross-sectional study, PP: Point prevalence, WL: Whole life, L3m: Last 3 months

Data Extraction

Data such as author’s name, year of publication, study region, study design, sample size, age of participants, gender, description of LBP, assessment tool, LBP recall time period, and occupation were identified. The extracted data were then entered into a dedicated table using Microsoft Office Excel program.

Data Analysis

Data were analyzed for homogeneity using the STATA software (version 11). Significant heterogeneity was determined for the pooled estimate. A standard test for heterogeneity examined the null hypothesis that the true prevalences are identical in every study. We also measured the degree of inconsistency across articles (I2). I2 defines the proportion of variation in prevalence estimates that is due to genuine variation in prevalence rather than sampling error. Acceptable methodological quality was determined as the central tendency of the frequency distribution of methodological scores. Sensitivity analysis of the articles not found to be methodologically sound was done to determine if there would have been any difference in the results, had these articles been included for analysis. Forest plots showed the distribution of the data in rank order for the prevalence estimate (lowest to highest ranks) and a vertical reference at the line of unity. We estimated the potential influence of covariates on the prevalence estimates by a random effects regression model, using the “metareg” command in STATA. The meta-regression represented log odds ratios, which are presented as odds ratios with 95% confidence intervals. A multivariate meta−regression model was constructed to investigate which covariates were associated with prevalence estimates if there was an adjustment for other study covariates. The models were created by using a forward stepwise procedure and described in the results section.

Results

In this review, 641 articles were included from the Iranian databases (SID, IranMedex and Magiran) and further 54 papers from the international databases (PubMed, Scopus and Web of Science). Initially, 602 articles were excluded after reviewing their titles (deemed unrelated or duplicate) and then further 27 articles were excluded based on the title and abstract. Eventually, 49 articles complied with the inclusion criteria and were analyzed (figure 1).
Figure 1

The flowchart of systematic search results of electronic databases together with the selection strategy.

The flowchart of systematic search results of electronic databases together with the selection strategy. Of the 49 articles that were included in the present review study, 35 articles reported 1-year LBP with the Nordic questionnaire (table 1). The global 1-year LBP in the selected studies was 24%. Only three screened articles reported point prevalence of LBP. Six research studies have reported the prevalence of LBP in last year, with the global prevalence of 40% in women. The 1-year prevalence of LBP in men was reported in 22 articles with the global prevalence of 39%. The prevalence of back pain associated with the gender of participants, mean age, and assessment tool were P=0.005, P=0.05, and P=0.04, respectively, although not related to the occupational category (table 1). Similarly, 1-year prevalence of LBP was related to gender and mean age, but it was not associated with the occupational category. The heterogeneity of data was examined and revealed significant heterogeneity across articles in the assessment tool (P<0.05). In meta-regression analysis (table 2), all evaluated methodological variables were not significantly associated with the LBP prevalence rate, except for the assessment tool (P<0.05). Therefore, we examined the LBP prevalence rate among different assessment tool subgroups.
Table 2

Association of LBP prevalence with gender, mean age, and assessment tools

P valueTSE
Assessment tools0.042.230.05
Occupational category0.85−0.190.01
Mean age0.0512.190.005
Male to female ratio0.005−3.50.05
Constant0.90.080.2
Association of LBP prevalence with gender, mean age, and assessment tools Nordic questionnaire for the assessment of 1-year LBP in industrial workers was used in 15 articles. As shown in figure 2, the calculated global prevalence of LBP in workers was 25% (I2=99.7%, P=0.000). Among the industrial workers, gender was associated with the prevalence of LBP, while the mean age had no association with it (table 3).
Figure 2

Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among workers.

Table 3

Association of LBP prevalence among industrial workers, based on Beck depression inventory, with gender and mean age

P valueTSE
Occupational category0.9−0.100.006
Mean age0.052.250.01
Male to female ratio0.03−2.460.07
Constant0.50.660.25
Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among workers. Association of LBP prevalence among industrial workers, based on Beck depression inventory, with gender and mean age The prevalence of LBP among office workers was assessed in 4 articles and the calculated global LBP prevalence was 18% (I2=99.6%, P=0.000) (figure 3). This value was reduced to 16% (I2=93.6%, P=0.000) after the exclusion of an article by Mirmohammadi et al. who reported a high prevalence of LBP among office workers.
Figure 3

Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among office workers (n=4).

Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among office workers (n=4). As shown in figure 4, it was found that 58% of health care workers suffered from LBP in last year (I2=99.8%, P=0.000). Among the 11 articles that were reviewed, Abdinejad et al. reported a lower LBP prevalence (13%) in health care workers (I2=93.6%, P=0.000). The mean age and gender were not associated with LBP prevalence (table 4).
Figure 4

Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among health care workers.

Table 4

Association of back pain prevalence among health care workers, based on Beck depression inventory, with gender and mean age

P valueTSE
Mean age0.470.780.024
Male to female ratio0.26−1.260.12
Constant0.920.100.79
Forest plot of prevalence estimates and 95% confidence intervals from articles on LBP prevalence among health care workers. Association of back pain prevalence among health care workers, based on Beck depression inventory, with gender and mean age Six articles reported LBP during last week and the LBP prevalence, not associated with age and occupational category, was reported at 32%.

Discussion

Low back pain is one of the most common complaints and a major issue among working-age population. Different communities have reported different prevalence rates of LBP. In this article, as the first comprehensive review study in Iran, a systematic investigation of LBP prevalence was performed. It is shown that LBP is a major issue among different job categories in Iran, particularly among health care workers. In the past, a limited number of research studies have been conducted in Iran that concluded job characteristics as an important factor. A literature review by Mousavi et al. on the LBP prevalence among the Iranian population was based on MEDLINE database, but lacked an appropriate analysis of the findings.[6] It is worth mentioning that almost all publications on LBP prevalence in Iran are written in the Persian language, which could explain inadequate visibility of their findings. The articles that were selected in the present review study contained incoherent LBP duration; however, we managed to identify most of the variations in the reported prevalence rates. Prevalence affects the recall bias, particularly prevalent in last year. In this study, we have reported LBP prevalence based on varied LBP duration. Biering-Sorensen et al. reported qualifying statements indicating that duration might enhance the accuracy of reporting.[56] Based on a self-reported questionnaire and examination, Janwantanakul et al.[57] reported the LBP prevalence of 55% in last four weeks, whereas in our review the global LBP prevalence in last year was lower. In contrast with few other studies,[4,58,59] we observed equal LBP prevalence among men and women. The majority of the reviewed articles reported LBP in an industry and mainly among male patients. This may clarify the equal LBP prevalence in both genders. Among the articles reviewed in the present study, only two articles reported LBP in teenage patients. Generally, the reported LBP prevalence among teenagers was lower than in adolescents. Similar reviews on this subject indicated that LBP prevalence increased in older age.[7] We found a higher LBP prevalence in middle-aged patients; the age that represents the most economically productive years of working life. This may negatively affect a person’s financial, social, and productivity conditions.[60-63] Job category is a parameter that would have an effect on LBP. Similar to other research studies,[64,65] we also observed the highest prevalence of LBP in last year among health care workers (e.g. hospital staff, nurses, and dentists). The mean age, after adjustment for gender, was related to the LBP prevalence in last year. We noticed that LBP prevalence among health care workers in this review was higher than that stated by Jensen et al.[65] Although LBP is widespread but its etiology and cause are not well understood yet. Many research studies reported a strong association between LBP and occupational characteristics, being most prevalent among nurses.[66-70] In a study, Sadeghian et al. indicated that age, somatization tendency, and the belief that pain is caused by occupation are risk factors at the baseline and the expectation of pain is a major factor during follow-up.[71] In some studies, poor ergonomic conditions and particularly incorrect lifting posture have been implicated as relevant factors in LBP among most occupations.[72,73] In the present study, the prevalence of LBP among office workers was high since the reported prevalence in one article was as high as 62%, whereas the other 3 articles reported it at lower than 20%. LBP prevalence among workers did not relate to job classification. The main limitation of the present review study was the unavailability of a few databases (e.g. Scopus, Web of Science) to Iranian researchers. Additionally, few articles studied LBP prevalence in last week or point prevalence. Only three articles stated point prevalence of LBP. The majority of the articles reported LBP prevalence in wide-ranging occupations. In addition to job characteristics, they attempted to evaluate other factors such as age, gender, history of accident or trauma, job satisfaction, marital status, educational status, stress, anxiety, depressive symptoms, and body mass index.[60] A detailed description of the study population, particularly occupational factors may improve the validity of population assessment.

Conclusion

Despite the fact that many of the reviewed articles did not provide a valid assessment tool for LBP and the LBP duration was not stated, we managed to conclude that LBP is the most common issue among health care workers. It is recommended that future research should focus on the LBP prevalence among health care workers. This allows parameters that increase the frequency of LBP to be assessed and subsequently permits reduction or elimination of such factors.
  30 in total

1.  Long-term assessment of a sanitary education and lumbar rehabilitation program for health care workers with chronic low back pain at the University Hospital of Lille.

Authors:  A Sobaszek; S Fantoni-Quinton; M Delval; P Rejou; J M Mauppin; D Lefranc; A Thevenon; P Frimat; J L Edme
Journal:  J Occup Environ Med       Date:  2001-03       Impact factor: 2.162

2.  The economic burden of back pain in the UK.

Authors:  N Maniadakis; A Gray
Journal:  Pain       Date:  2000-01       Impact factor: 6.961

Review 3.  The prevalence of low back pain: a systematic review of the literature from 1966 to 1998.

Authors:  B F Walker
Journal:  J Spinal Disord       Date:  2000-06

4.  Patterns of care for low back pain in a working population.

Authors:  W IJzelenberg; Alex Burdorf
Journal:  Spine (Phila Pa 1976)       Date:  2004-06-15       Impact factor: 3.468

5.  Musculoskeletal problems in Iranian hand-woven carpet industry: guidelines for workstation design.

Authors:  Alireza Choobineh; Mostafa Hosseini; Mohammadali Lahmi; Reza Khani Jazani; Houshang Shahnavaz
Journal:  Appl Ergon       Date:  2006-09-26       Impact factor: 3.661

6.  Prevalence of musculoskeletal pain among dentists in Shiraz, Southern Iran.

Authors:  N Pargali; N Jowkar
Journal:  Int J Occup Environ Med       Date:  2010-04

7.  Age-related prevalence of facet-joint involvement in chronic neck and low back pain.

Authors:  Laxmaiah Manchikanti; Kavita N Manchikanti; Kimberly A Cash; Vijay Singh; James Giordano
Journal:  Pain Physician       Date:  2008-01       Impact factor: 4.965

8.  The greatest risk for low-back pain among newly educated female health care workers; body weight or physical work load?

Authors:  Jette Nygaard Jensen; Andreas Holtermann; Thomas Clausen; Ole Steen Mortensen; Isabella Gomes Carneiro; Lars Louis Andersen
Journal:  BMC Musculoskelet Disord       Date:  2012-06-06       Impact factor: 2.362

9.  Development of a risk score for low back pain in office workers--a cross-sectional study.

Authors:  Prawit Janwantanakul; Praneet Pensri; Patriya Moolkay; Wiroj Jiamjarasrangsi
Journal:  BMC Musculoskelet Disord       Date:  2011-01-25       Impact factor: 2.362

10.  Occupational health hazards among healthcare workers in Kampala, Uganda.

Authors:  Rawlance Ndejjo; Geofrey Musinguzi; Xiaozhong Yu; Esther Buregyeya; David Musoke; Jia-Sheng Wang; Abdullah Ali Halage; Christopher Whalen; William Bazeyo; Phillip Williams; John Ssempebwa
Journal:  J Environ Public Health       Date:  2015-01-31
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Journal:  Rev Bras Med Trab       Date:  2020-04-15

2.  Low back pain prevalence and risk factors among health workers in Saudi Arabia: A systematic review and meta-analysis.

Authors:  Hamad S Al Amer
Journal:  J Occup Health       Date:  2020-01       Impact factor: 2.708

3.  Association of COL9A3 trp3 polymorphism with intervertebral disk degeneration: a meta-analysis.

Authors:  Donghua Huang; Xiangyu Deng; Kaige Ma; Fashuai Wu; Deyao Shi; Hang Liang; Sheng Chen; Zengwu Shao
Journal:  BMC Musculoskelet Disord       Date:  2018-10-20       Impact factor: 2.362

4.  Prevalence and factors associated with low back pain among health care workers in southwestern Saudi Arabia.

Authors:  Ibrahim Alnaami; Nabil J Awadalla; Mona Alkhairy; Suleiman Alburidy; Abdulaziz Alqarni; Almohannad Algarni; Rawan Alshehri; Bodoor Amrah; Mishal Alasmari; Ahmed A Mahfouz
Journal:  BMC Musculoskelet Disord       Date:  2019-02-08       Impact factor: 2.362

5.  Prevalence and Predicting Factors of Chronic Pain among Workers of Petrochemical and Petroleum Refinery Plants.

Authors:  Maryam Shaygan; Maryam Yazdanpanah
Journal:  Int J Occup Environ Med       Date:  2019-10-12

6.  A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors.

Authors:  Victor C H Chan; Shawn M Beaudette; Kenneth B Smale; Kristen H E Beange; Ryan B Graham
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

7.  Predicting quality of life among family caregivers of people with spinal cord injury having chronic low back pain in Nepal: a cross-sectional pilot study.

Authors:  Pasang Doma Sherpa; Luppana Kitrungrote; Wipa Sae-Sia
Journal:  Spinal Cord Ser Cases       Date:  2018-08-08

8.  Prevalence of pain, analgesic self-medication and mental health in German pre-hospital emergency medical service personnel: a nationwide survey pilot-study.

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9.  The Relationship between Reactive Balance Control and Back and Hamstring Strength in Physiotherapists with Non-Specific Back Pain: Protocol for a Cross-Sectional Study.

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Review 10.  Worldwide research productivity in the field of back pain: A bibliometric analysis.

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