Skip to main content

Neck/shoulder pain and low back pain among school teachers in China, prevalence and risk factors



School teachers represent an occupational group among which there appears to be a high prevalence of neck and/or shoulder pain (NSP) and low back pain (LBP). Epidemiological data on NSP and LBP in Chinese teachers are limited. The aim of this study was to investigate the prevalence of and risk factors for NSP and LBP among primary, secondary and high school teachers.


In a cross-sectional study of teachers from 7 schools, information on participant demographics, work characteristics, occupational factors and musculoskeletal symptoms and pain were collected.


Among 893 teachers, the prevalence of NSP and LBP was 48.7% and 45.6% respectively. There was significant association between the level and prevalence of NSP and LBP among teachers in different schools. The prevalence of NSP among female teachers was much higher than that for males. Self-reported NSP was associated with physical exercise (OR 0.55, 95% CI 0.35 to 0.86), prolonged standing (1.74, 1.03 to 2.95), sitting (1.76, 1.23 to 2.52) and static posture (2.25, 1.56 to 3.24), and uncomfortable back support (1.77, 1.23 to 2.55). LBP was more consistently associated with twisting posture (1.93, 1.30 to 2.87), uncomfortable back support (1.62, 1.13 to 2.32) and prolonged sitting (1.42, 1.00 to 2.02) and static posture (1.60, 1.11 to 2.31).


NSP and LBP are common among teachers. There were strong associations with different individual, ergonomic, and occupational factors.

Peer Review reports


Attention has been focused on the prevention of occupational injury and disease to promote health among workers. The National Occupational Research Agenda (NORA) in USA states that work-related musculoskeletal disorders (MSD) account for a major component of the cost of work-related illnesses in the United States. Recent estimates of the cost associated with MSD range from $13 to $54 billion annually [1]. MSD represents one of the most common and most expensive occupational health problems in both developed and developing countries. School teachers represent an occupational group among which there appears to be a high prevalence of MSD [2] . The MSD is one of the leading causes for ill health retirement among school teachers [3]. Studies confirm that low back pain is a common problem in both heavy and light manual workers [411]. Musculoskeletal complaints, especially of the lower back, neck and shoulders are also common among teachers. Recently, Hong Kong teachers showed a higher prevalence for neck (68.9%), shoulder (73.4%) and low back pain (59.2%) in the past 30 days. It is worth noting that the sample of Hong Kong teachers showed significantly higher prevalence in all single musculoskeletal complaints than the Norway sample in one study [12]. Epidemiological studies have demonstrated that factors such as gender, age, length of employment and awkward posture are associated with higher MSD prevalence rates among teachers [2]. Sunisa and Pornnapa pointed out that among workers including teachers prolonged posture, static works and repetition are the cause of repetitive strain injuries (RSIs), which is one type of MSDs that directly affect the area of upper limb, neck, shoulder and low back [13].

In China, educational issues such as working stress, teacher unemployment, education reforms, language proficiency assessment for teachers, and reduction in the size and number of classes and schools have already drawn much public attention. However, very little attention has been given to somatic health problems of teachers. Therefore, there is a need to study the problem of musculoskeletal pain among school teachers. The aim of this study was to measure the prevalence of NSP and LBP among Chinese teachers and to investigate the role of risk factors.


Location and background of respondents

Between December 11, 2009 and March 15, 2010, seven schools were selected at random from 60 major public schools in Puning, a city in eastern Guang dong Province. Written consent was obtained from the Ministry of Education in the districts where the schools were located. This research was also approved by the Ethics Committee of the Medical College of Shantou University and the Ministry of Education of Puning. Each teacher in the chosen schools was given a consent letter and a document describing the procedure of the study and its objectives. At the weekly school teachers’ meeting, a questionnaire was administered and it took about 20 min to complete.


The demographic characteristics in the questionnaire included gender, age, height and weight. Body mass index (BMI) was calculated by the formula weight (kg)/height (meter)2. Normal weight was defined as a BMI of ≤23.9 kg/m2, overweight as BMI 24.0-27.9 kg/ m2 and obesity as BMI ≥28.0 kg/m2[14]. Also, lifestyle (smoking, hours of housework and physical exercise per week) were surveyed. The work characteristics were assessed using questions for school level, years in current job, work hours per week, how many lessons per week and hours of working with computer per day. The questions used to assess occupational risk factors were derived from the standardized Dutch Musculoskeletal Questionnaire (DMQ) [15]. Occupational factors were measured using a dichotomous scale (No/Yes) during an average working day. Work was categorized as tasks with prolonged standing (≥2 hours per day), sitting (≥4 hours per day), static posture, working with hands above shoulder (≥2 hours per day), lifting of weight with hand ≥20kg, posture characterized by twisting posture (≥2 hours per day), uncomfortable back support, have enough rest time. The questions on musculoskeletal symptoms were assessed according to the Nordic Musculoskeletal Questionnaire (NMQ) and were accompanied by anatomical diagrams depicting the specified sites [16]. The participants were asked whether they had experienced pain in the neck or/and shoulder and low back lasting for more than 1 day during the previous 12 months.

Statistical analysis

The results were reported as descriptive statistics. Odds ratios (OR) and 95% confidence intervals (95%CI) were calculated to examine the association of NSP and LBP with demographic, individual and occupational risk factors using binary logistic regression. Initially, univariate analyses were calculated, with each of the potential explanatory variables as independent variables and NSP or LBP as the dependent variable. OR were obtained for each potential factor after adjustment for age (as a continuous variable with a unit of analysis of 1 year), and gender. In further multivariate logistic regression, non-significant variables (P > 0.05) were excluded, with the exception of age and gender, which remained in the model regardless of statistical significance. Multivariate logistic regression analyses were performed using all retained variables. The final model included terms with a P value less than 0.05. All analyses were performed using SPSS version 19.0.


There were 1050 respondents completed the questionnaire. Questionnaires with more than 90.0% of items completed (n = 893) were included in the analysis. The response rate was 85.0% among the participants. 280 respondents (31.4%) were from primary schools, 264 (29.6%) junior middle schools and 349 (39.0%) secondary schools. The participants had a higher proportion of females (67.0% vs 33.0%) than male. Most respondents had 1-9 years of teaching experience (51.2%), taught in secondary schools (66.3%) and high schools (66.5%). The high school teachers reporting workload was higher than that of secondary and primary school teachers. Details of the demographic and work characteristics are shown in Table 1.

Table 1 Demographic, life style and work characteristics of primary (n = 280), secondary (n = 264) and high school teachers (n = 349)

Detailed descriptive statistics for demographic and labor characteristics of female and male teachers are shown in Table 2. Age distribution was similar (32.18 ± 0.31 vs 32.25 ± 0.46). The smoking ratio for men was higher than that for women, 35.0% and 7.0%, respectively. A higher proportion of men (42.3%) reported work time per week >40 h compared with women (30.9%), and a higher proportion of women (25.7%) reported housework time per week ≥20 h compared with men (4.6%).

Table 2 Descriptive statistics of individual, life style and work characteristics among female and male teachers

The one-year prevalence of NSP and LBP were found to be 48.7% and 45.6% respectively. Results demonstrated that females had a significantly higher prevalence of NSP (51.7% vs 42.7%, P = 0.01) (Table 3). Moreover, results showed that the age group with the highest prevalence of NSP and LBP was 40–49, there was significant difference among different age groups in the prevalence of LBP (P = 0.03). Senior middle school teachers had the highest prevalence of NSP and LBP. Similarly, there were significant differences among different school levels in the prevalence of NSP and LBP (P < 0.001).

Table 3 One year prevalence of NSP and LBP in relation to individual factors

Table 4 shows that female gender was significantly associated with NSP, but not with LBP, and physical exercise were significantly associated with NSP and LBP. LBP was closely associated with BMI of those who were obese.

Table 4 Association between demographic and life style factors and reporting of NSP and LBP in the past 12 months

Table 5 shows that years in current job and number of hours worked per week were not associated with both NSP and LBP. The hours of working with computer ≥4 h/day was associated with NSP but not with LBP. Hours of lessons ≥14 h/week, prolonged standing, sitting, static posture and holding the neck in a forward bent posture, were all associated with NSP and LBP. Have enough rest time was also associated with LBP.

Table 5 Association between work characteristics and occupational factors and reporting of NSP and LBP in the past 12 months

In the final multivariate model (Table 6), for individual factors, gender and physical exercise remained in the last model. The NSP and LBP were positively associated with high school teacher. Secondary school level remained associated with decreased odds of reporting NSP and LBP as compared to primary school teachers. Occupational factors of prolonged standing, sitting and static posture, uncomfortable back support and twisting posture remained associated with NSP and LBP in the final model.

Table 6 Multivariate model for association between NSP and LBP in the past 12 months


The results of this study show that NSP and LBP are common in school teachers in Puning, China.

The prevalence of NSP and LBP

The first aim of this study was to estimate the 12-months prevalence of NSP and LBP among school teachers in Puning. Our study identified 48.7% and 45.6% prevalence of NSP and LBP among teachers. Parallels can be drawn to other studies where 42.5-47.9% and 43.8-74.9% of Turkish school teachers reported having experienced neck pain and low back pain respectively, while 28.7-55.9% had experienced MSD symptoms in the shoulder area [17, 18]. In Brazil and Malaysia, 41.1% and 40.4% of elementary school teachers reported low back pain [19, 20]. Another study of Brazil obtained data showed the presence of pain in the trapezius muscle region, on the left side, in 52.5%; and, on the right side, in 50.6% among elementary school teachers [21]. Other studies where 40.0% of Chinese primary school teachers and 34.8% of French school teachers also reported back pain [7, 22]. In Chinese Hong Kong, studies of secondary school teachers reported a 12-month prevalence of neck pain at 64.4% and 66.7% [23, 24]. The disorders seem to be most common in the neck, shoulders and low back among teachers. Our results are generally consistent with these prior studies in school teachers. It is important to pinpoint hazards for developing prevention strategies.

Individual factors

Many individual factors including age, gender and BMI may play a role in causing NSP and LBP. Our results showed that gender and physical exercise were related to NSP. The prevalence of NSP was substantially higher among women (51.7%) than men (42.7%) in our study, which is consistent with previous studies [25, 26]. Women appear to consistently report more neck, shoulder and upper extremity symptoms than men [12, 18, 23, 24, 27, 28]. In our study, even though males had a higher BMI, longer employment than females, a significant higher proportion of smokers and often worked time >40 h, females were significantly at risk for NSP. The gender difference may be explained by many factors, one of which could be that the women had in which they were more likely suffered emotional exhaustion compared with men among teachers [29]. This may also explained partially by women having a lower pain threshold than males. Torgen et al. suggested that pressure pain thresholds increased with muscle strength and Chiu et al. found that the isometric neck muscle strength in all directions for men was 1.2–1.7 times those in women [30, 31]. Moreover, we found females bore more heavy housework than male in daily life, and some authors suggest that differentials in household task participation may explain WMSDs differences between men and women [25, 32].

Work-related physical and occupational factors

Teachers at the senior middle school level reported the highest prevalence of NSP and LBP, in comparison to those at the primary and secondary school levels, which is consistent with previous studies [33]. The teachers who worked in high schools suffered significantly higher risks of NSP and LBP. One of the reasons could be that senior middle school teachers have to deal with more examinations and are under higher pressure to graduate students. So they experience more psychological stress and a higher work load than others. In the present study, teachers who worked in senior middle schools also had the highest work load in comparison to those who worked in other levels of schools. Emotional exhaustion correlates with the high numbers of weekly lessons [34]. Work activities that involve heavy lifting, awkward postures, bending, twisting or stooping, prolonged sitting or standing and repetitive motions may contribute to the development of MSD [3537]. Activities of sustained sitting of frequent reading, marking of assignment and in front of computer, standing up teaching in class, repetitively overhead writing on board are also unsafe act and favorable to the development of NSP, LBP and upper limb pain which found in teachers [20, 23, 38]. Studies have also confirmed that sitting for more than 3 hours daily could be a risk factor for LBP [39, 40]. But Lis and colleagues, in their systematic review, found that sitting itself does not increase the risk of LBP, but sitting for more than half a workday, combined with whole-body vibration and/or awkward postures, does increase the likelihood of having LBP, and it is the combination of those risk factors that leads to the greatest increase in LBP [41]. Epidemiological studies show a significant association among uncomfortable back support and LBP [42, 43]. Moreover, our study further confirmed these findings in school teachers. In the present study prolonged sitting and static posture and uncomfortable back support were positively associated with NSP and LBP. In addition, prolonged standing was closely associated with NSP alone.

Our data demonstrates significant school levels differences in the experience of NSP and LBP. Moreover, our data point to senior middle school teachers in which there is a very great need to study workload stress factors and devise adequate preventive and interventional action.

Our study had several limitations. Information about musculoskeletal symptoms and related factors were obtained by the self-reporting method and the nature of this retrospective questionnaire survey, it is difficult to rule out the possibility of recall bias, which may lead to over-or underestimation. Furthermore, as a cross sectional study, only associations can be established but no inferences of causality can be made.


The prevalence of NSP and LBP among teachers in Puning, a developing city of China, is high and comparable to prevalence in other countries. Different individual, ergonomic, and occupational factors were important associations of NSP and LBP. Hence effective preventive strategies need to address this area. Further, studies on different interventional models are required to develop an effective preventive strategy for these relatively common and underestimated problems.



Neck and/or shoulder pain


Low back pain


Work-related Musculoskeletal disorder


Nordic Musculoskeletal Questionnaire


Dutch Musculoskeletal Questionnaire


National Occupational Research Agenda.


  1. 1.

    Marras WS, Cutlip RG, Burt SE, Waters TR: National occupational research agenda (NORA) future directions in occupational musculoskeletal disorder health research. Appl Ergon. 2009, 40 (1): 15-22. 10.1016/j.apergo.2008.01.018.

    Article  PubMed  Google Scholar 

  2. 2.

    Erick PN, Smith DR: A systematic review of musculoskeletal disorders among school teachers. BMC Musculoskelet Disord. 2011, 12: 260-10.1186/1471-2474-12-260.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Maguire M, O'Connell T: Ill-health retirement of schoolteachers in the Republic of Ireland. Occup Med. 2007, 57 (3): 191-193. 10.1093/occmed/kqm001.

    Article  Google Scholar 

  4. 4.

    Hagberg M, Wegman D: Prevalence rates and odds ratios of shoulder-neck diseases in different occupational groups. Br J Ind Med. 1987, 44 (9): 602-610.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Harcombe H, McBride D, Derrett S, Gray A: Prevalence and impact of musculoskeletal disorders in New Zealand nurses, postal workers and office workers. Aust N Z J Public Health. 2009, 33 (5): 437-441. 10.1111/j.1753-6405.2009.00425.x.

    Article  PubMed  Google Scholar 

  6. 6.

    Harcombe H, McBride D, Derrett S, Gray A: Physical and psychosocial risk factors for musculoskeletal disorders in New Zealand nurses, postal workers and office workers. Inj Prev: J Int Soc Child and Adoles Inj Prev. 2010, 16 (2): 96-100. 10.1136/ip.2009.021766.

    Article  Google Scholar 

  7. 7.

    Jin K, Sorock GS, Courtney TK: Prevalence of low back pain in three occupational groups in Shanghai, People's Republic of China. J Safety Res. 2004, 35 (1): 23-28. 10.1016/j.jsr.2003.11.002.

    Article  PubMed  Google Scholar 

  8. 8.

    Lloyd MH, Gauld S, Soutar CA: Epidemiologic study of back pain in miners and office workers. Spine. 1986, 11 (2): 136-140. 10.1097/00007632-198603000-00006.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Sairanen E, Brüshaber L, Kaskinen M: Felling work, low-back pain and osteoarthritis. Scand J Work Environ Health. 1981, 7 (1): 18-30. 10.5271/sjweh.2572.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Tuomi K, Ilmarinen J, Eskelinen L, Jarvinen E, Toikkanen J, Klockars M: Prevalence and incidence rates of diseases and work ability in different work categories of municipal occupations. Scand J Work Environ Health. 1991, 17 (suppl 1): 67-74.

    PubMed  Google Scholar 

  11. 11.

    Widanarko B, Legg S, Stevenson M, Devereux J, Eng A, Mannetje A, Cheng S, Douwes J, Ellison-Loschmann L, McLean D, et al: Prevalence of musculoskeletal symptoms in relation to gender, age, and occupational/industrial group. Int J Ind Ergonomics. 2011, 41 (5): 561-572. 10.1016/j.ergon.2011.06.002.

    Article  Google Scholar 

  12. 12.

    Chong EY, Chan AH: Subjective health complaints of teachers from primary and secondary schools in Hong Kong. Int J occup saf ergonomics: JOSE. 2010, 16 (1): 23-39.

    Article  Google Scholar 

  13. 13.

    Chaiklieng S, Suggaravetsiri P: Risk factors for repetitive strain injuries among school teachers in Thailand. Work: A J Prev, Assess Rehabil. 2012, 41: 2510-2515.

    Google Scholar 

  14. 14.

    Bei‐Fan Z: Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut‐off points of body mass index and waist circumference in Chinese adults. Asia Pac J Clin Nutr. 2002, 11: S685-S693. 10.1046/j.1440-6047.11.s8.9.x.

    Article  Google Scholar 

  15. 15.

    Hildebrandt V, Bongers P, Van Dijk F, Kemper H, Dul J: Dutch Musculoskeletal Questionnaire: description and basic qualities. Ergonomics. 2001, 44 (12): 1038-1055. 10.1080/00140130110087437.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, Andersson G, Jørgensen K: Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987, 18 (3): 233-237. 10.1016/0003-6870(87)90010-X.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Korkmaz NC, Cavlak U, Telci EA: Musculoskeletal pain, associated risk factors and coping strategies in school teachers. Sci Res Essays. 2011, 6 (3): 649-657.

    Google Scholar 

  18. 18.

    Durmus D, Ilhanli I: Are there work-related musculoskeletal problems among teachers in Samsun, Turkey?. J Back Musculoskelet Rehabil. 2012, 25 (1): 5-12.

    PubMed  Google Scholar 

  19. 19.

    Cardoso JP, Ribeiro IQB, Araújo TM, Carvalho FM, Reis EJFB: Prevalence of musculoskeletal pain among teachers. Rev Bras Epidemiol. 2009, 12 (4): 604-614. 10.1590/S1415-790X2009000400010.

    Article  Google Scholar 

  20. 20.

    Samad NIA, Abdullah H, Moin S, Tamrin SBM, Hashim Z: Prevalence of low back pain and its risk factors among school teachers. Am J Appl Sci. 2010, 7 (5): 634-639. 10.3844/ajassp.2010.634.639.

    Article  Google Scholar 

  21. 21.

    Antonelli BA, de Paula Xavier AA, Oenning P, Baumer MH, da Silva TFA, Pilatti LA: Prevalence of cervicobrachial discomforts in elementary school teachers. Work: J Prev, Assess Rehabil. 2012, 41: 5709-5714.

    Google Scholar 

  22. 22.

    Kovess-Masfety V, Sevilla-Dedieu C, Rios-Seidel C, Nerriere E, Chee CC: Do teachers have more health problems? Results from a French cross-sectional survey. BMC Public Health. 2006, 6 (1): 101-10.1186/1471-2458-6-101.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Chiu TT, Lam PK: The prevalence of and risk factors for neck pain and upper limb pain among secondary school teachers in Hong Kong. J Occup Rehabil. 2007, 17 (1): 19-32. 10.1007/s10926-006-9046-z.

    Article  PubMed  Google Scholar 

  24. 24.

    Chiu TW, Lau KT, Ho CW, Ma MC, Yeung TF, Cheung PM: A study on the prevalence of and risk factors for neck pain in secondary school teachers. Public Health. 2006, 120 (6): 563-565. 10.1016/j.puhe.2006.01.007.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Treaster D, Burr D: Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics. 2004, 47 (5): 495-526. 10.1080/00140130310001638171.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Wu S, He L, Li J, Wang J, Wang S: Visual display terminal use increases the prevalence and risk of work-related musculoskeletal disorders among Chinese office workers: a cross-sectional study. J Occup Health. 2011, 54: 34-43.

    Article  PubMed  Google Scholar 

  27. 27.

    Edling CW, Fjellman-Wiklund A: Musculoskeletal disorders and asymmetric playing postures of the upper extremity and back in music teachers: a pilot study. Med Probl Perform Art. 2009, 24 (3): 113-118.

    Google Scholar 

  28. 28.

    Hooftman WE, Van Poppel MNM, Van Der Beek AJ, Bongers PM, Van Mechelen W: Gender differences in the relations between work-related physical and psychosocial risk factors and musculoskeletal complaints. Scand J Work Environ Health. 2004, 30 (4): 261-278. 10.5271/sjweh.794.

    Article  PubMed  Google Scholar 

  29. 29.

    Chang-Jiang L, Guo-xiang W, Xin-chun W: Analysis of Occupational Burnout of High School Teachers [J]. J Shenyang Normal Univ Soc Sci Ed. 2004, 28 (6): 118-121.

    Google Scholar 

  30. 30.

    Torgen M, Swerup C: Individual factors and physical work load in relation to sensory thresholds in a middle-aged general population sample. Eur J Appl Physiol. 2002, 86 (5): 418-427. 10.1007/s00421-001-0567-z.

    Article  PubMed  Google Scholar 

  31. 31.

    Chiu TTW, Lam TH, Hedley AJ: Maximal isometric muscle strength of the cervical spine in healthy volunteers. Clin Rehabil. 2002, 16 (7): 772-779. 10.1191/0269215502cr552oa.

    Article  PubMed  Google Scholar 

  32. 32.

    Punnett L, Herbert R: Work-related musculoskeletal disorders: is there a gender differential, and if so, what does it mean. Women Health. 2000, 38 (6): 474-492.

    Article  Google Scholar 

  33. 33.

    LIU J, TAO N, LIU B: Study on relationship between chronic hurts of muscle, skeleton and work ability in primary and junior high school teachers. Chinese J Public Health. 2009, 25 (1): 54-55.

    CAS  Google Scholar 

  34. 34.

    Santana MC, De Marchi D, Junior LCG, Girondoli YM, Chiappeta A: Burnout syndrome, working conditions, and health: a reality among public high school teachers in Brazil. Work: J Prev, Assess Rehabil. 2012, 41: 3709-3717.

    Google Scholar 

  35. 35.

    Ariens M, Van Mechelen W, Bongers M, Bouter M, Van Der Wal G: Physical risk factors for neck pain. Scand J Work Environ Health. 2000, 26 (1): 7-19. 10.5271/sjweh.504.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Punnett L, Wegman DH: Work-related musculoskeletal disorders: the epidemiologic evidence and the debate. J Electromyogr Kinesiol. 2004, 14 (1): 13-23. 10.1016/j.jelekin.2003.09.015.

    Article  PubMed  Google Scholar 

  37. 37.

    Council NR: Musculoskeletal disorders and the workplace: low back and upper extremities. 2001, Washington, DC, USA: National Research Council/Institute of Medicine

    Google Scholar 

  38. 38.

    Lemoyne J, Laurencelle L, Lirette M, Trudeau F: Occupational health problems and injuries among Quebec's physical educators. Appl Ergon. 2007, 38 (5): 625-634. 10.1016/j.apergo.2006.06.004.

    Article  PubMed  Google Scholar 

  39. 39.

    Omokhodion F, Sanya A: Risk factors for low back pain among office workers in Ibadan, Southwest Nigeria. Occup Med. 2003, 53 (4): 287-289. 10.1093/occmed/kqg063.

    CAS  Article  Google Scholar 

  40. 40.

    Pope MH, Goh KL, Magnusson ML: Spine ergonomics. Annu Rev Biomed Eng. 2002, 4 (1): 49-68. 10.1146/annurev.bioeng.4.092101.122107.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Lis AM, Black KM, Korn H, Nordin M: Association between sitting and occupational LBP. Eur Spine J. 2007, 16 (2): 283-298. 10.1007/s00586-006-0143-7.

    Article  PubMed  Google Scholar 

  42. 42.

    Spyropoulos P, Papathanasiou G, Georgoudis G, Chronopoulos E, Koutis H, Koumoutsou F: Prevalence of low back pain in Greek public office workers. Pain Physician. 2007, 10 (5): 651-

    PubMed  Google Scholar 

  43. 43.

    Alperovitch-Najenson D, Santo Y, Masharawi Y, Katz-Leurer M, Ushvaev D, Kalichman L: Low back pain among professional bus drivers: ergonomic and occupational-psychosocial risk factors. Israel Med Assoc J: IMAJ. 2010, 12 (1): 26-

    PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


We thank the Ministry of Education of Puning, the management of the primary, junior middle, and senior middle schools and teachers for their cooperation and participation in this study. The research was supported by the National Science and Technology Infrastructure Program (2006BAI06B08), China.

Author information



Corresponding author

Correspondence to Liping Li.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LF made substantial contribution to conception and study design. LF was involved in data collection. YP was involved in statistical analysis and drafting the manuscript. LL critically revised the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Yue, P., Liu, F. & Li, L. Neck/shoulder pain and low back pain among school teachers in China, prevalence and risk factors. BMC Public Health 12, 789 (2012).

Download citation


  • Risk factors
  • Neck and shoulder pain
  • Low back pain
  • Teachers