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Erschienen in: BMC Public Health 1/2012

Open Access 01.12.2012 | Research article

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

verfasst von: Pengying Yue, Fengying Liu, Liping Li

Erschienen in: BMC Public Health | Ausgabe 1/2012

Abstract

Background

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.

Methods

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.

Results

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).

Conclusions

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

Electronic supplementary material

The online version of this article (doi:10.​1186/​1471-2458-12-789) contains supplementary material, which is available to authorized users.

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.
Abkürzungen
NSP
Neck and/or shoulder pain
LBP
Low back pain
WMSDs
Work-related Musculoskeletal disorder
NMQ
Nordic Musculoskeletal Questionnaire
DMQ
Dutch Musculoskeletal Questionnaire
NORA
National Occupational Research Agenda.

Background

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.

Methods

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.

Questionnaire

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.

Results

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)
Characteristics
Primary school teachers
Secondary school teachers
High school teachers
Overall
n (%)
n (%)
n (%)
n (%)
Gender
    
  Male
28 (10.0%)
88 (33.3%)
179 (51.3%)
295 (33.0%)
  Female
252 (90.0%)
176 (66.7%)
170 (48.7%)
598 (67.0%)
Age (yrs)
    
  19-29
64 (22.9%)
144 (54.5%)
190 (54.4%)
398 (44.6%)
  30-39
135 (48.2%)
92 (34.8%)
113 (32.4%)
340 (38.1%)
  40-49
65 (23.2%)
26 (9.9%)
36 (10.3%)
127 (14.2%)
  ≥50
16 (5.7%)
2 (0.8%)
10 (2.9%)
28 (3.1%)
Years in current job (yrs)
    
  1-9
50 (17.9%)
175 (66.3%)
232 (66.5%)
457 (51.2%)
  10-19
146 (52.1%)
70 (26.5%)
77 (22.1%)
293 (32.8%)
  20-29
60 (21.4%)
16 (6.1%)
32 (9.2%)
108 (12.1%)
  ≥30
24 (8.6%)
3 (11.0%)
8 (2.3%)
35 (3.9%)
Work hours per week (h)
    
  ≤40
206 (75.2%)
177 (67.8%)
192 (55.7%)
575 (65.3%)
  >40
68 (24.8%)
84 (32.2%)
153 (44.3%)
305 (34.7%)
Hours of lessons per week (h)
   
  <14
194 (70.3%)
211 (80.5%)
169 (50.0%)
574 (65.5%)
  ≥14
82 (29.7%)
51 (19.5%)
169 (50.0%)
302 (34.5%)
Hours of working with computer per day (h)
   
  <4
200 (96.2%)
239 (93.7%)
217 (64.8%)
656 (82.2%)
  ≥4
8 (3.8%)
16 (6.3%)
118 (35.2%)
142 (17.8%)
Hours of physical exercise per week (h)
   
  <7
196 (82.0%)
184 (70.5%)
278 (86.9%)
658 (80.2%)
  ≥7
43 (18.0%)
77 (29.5%)
42 (13.1%)
162 (19.8%)
Hours of doing housework per week
   
  <20
185 (68.5%)
210 (80.5%)
301 (92.3%)
696 (81.2%)
  ≥20
85 (31.5%)
51 (19.5%)
25 (7.7%)
142 (18.8%)
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
Characteristics
Women (n = 598)
Men (n = 295)
Total (n = 893)
Pvalue
Age (yrs)
32.18 ± 0.31
32.25 ± 0.46
32.21 ± 10.61
0.90
Seniority (yrs)
11.13 ± 8.23
9.56 ± 8.72
10.61 ± 8.42
0.01
Stature (cm)
158.67 ± 4.06
170.2 ± 4.98
162.47 ± 6.98
<0.001
Weight (kg)
52.35 ± 6.93
65.43 ± 9.02
56.67 ± 9.84
<0.001
Body mass index (kg/m2)
20.82 ± 2.62
22.54 ± 2.77
21.39 ± 2.79
<0.001
Smoking
   
<0.001
Never or seldom smoked
564 (99.3%)
186 (65.0%)
750 (87.8%)
 
Current or past smoker
4 (7.0%)
100 (35.0%)
104 (12.2%)
 
Work hours per week (h) >40 h
182 (30.9%)
123 (42.3%)
305 (34.7%)
0.001
Housework per week (h) ≥20 h
148 (25.7%)
13 (4.6%)
161 (18.8%)
<0.001
Physical exercise per week (h) ≥7 h
96 (17.7%)
66 (23.7%)
162 (19.8%)
0.04
P Values were derived from either Student's t-test for quantitative data or the χ2 test for categorical data.
Statistically significant differences (P < 0.05) are marked in bold.
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
Variable
%with NSP (no. of teachers with NSP/Total number)
Pvalue
%with LBP (no. of teachers with LBP/Total number)
Pvalue
Gender
 
0.01
 
0.1
Male
42.7 (126/295)
 
41.7 (123/295)
 
Female
51.7 (309/598)
 
47.5 (284/598)
 
Age (yrs)
 
0.18
 
0.03
19-29
46.2 (184/398)
 
41.2 (164/398)
 
30-39
48.5 (165/340)
 
46.8 (159/340)
 
40-49
57.5 (73/127)
 
55.9 (71/127)
 
≥50
46.4 (13/28)
 
46.4 (13/28)
 
Seniority (yrs)
 
0.25
 
0.16
1-9
46.0 (210/457)
 
42.7 (195/457)
 
10-19
51.5 (151/293)
 
47.4 (139/293)
 
20-29
49.1 (53/108)
 
48.1 (52/108)
 
≥30
60.0 (21/35)
 
60.0 (21/35)
 
Body mass index (kg/m2)
 
0.44
 
0.08
≤23.9
49.4 (344/697)
 
44.5 (310/697)
 
24-27.9
43.5 (57/131)
 
47.3 (62/131)
 
≥28
53.5 (8/15)
 
73.3 (11/15)
 
School level
 
<0.001
 
<0.001
Primary school
48.9 (137/280)
 
46.8 (131/280)
 
Junior middle school
31.4 (83/264)
 
28.0 (74/264)
 
Senior middle school
61.6 (215/349)
 
57.9 (202/349)
 
χ2 test for categorical variables. Statistically significant differences (P < 0.05) are marked in bold.
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
Factors
NSP
LBP
OR (95% CI)
OR (95% CI)
Gender
  
  Male
1
1
  Female
1.44 (1.10-1.90)*
1.27 (0.96-1.68)
Age (yrs)
  
  19-29
1
1
  30-39
1.00 (0.59-1.64)
1.02 (0.61-1.70)
  40-49
1.25 (0.45-3.52)
1.14 (0.41-3.20)
  ≥50
0.77 (0.14-4.15)
0.63 (0.12-3.41)
Body mass index (kg/m2)
  
  ≤23.9
1
1
  2 4-27.9
0.83 (0.56-1.24)
1.12 (0.75-1.67)
  ≥28
1.18 (0.42-3.34)
3.35 (1.05-10.72)*
Smoking
  
  Never or seldom smoked
1
1
  Current or past smoker
1.00 (0.61-1.59)
0.93 (0.58-1.51)
Hours of physical exercise per week (h)
  <7
1
1
  ≥7
0.46 (0.32-0.67)*
0.54 (0.38-0.78)*
Hours of doing housework per week (h)
  <20
1
1
  ≥20
1.39 (1.00-2.00)
1.16 (0.81-1.66)
All OR are adjusted for age as a continuous variable and gender.
*Wald test, p < 0.05.
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
Factors
NSP
LBP
OR (95% CI)
OR (95% CI)
Years in current job (yrs)
  
  1-9
1
1
  10-19
1.02 (0.66-1.59)
0.81 (0.52-1.27)
  20-29
0.79 (0.35-1.80)
0.56 (0.25-1.27)
  ≥30
1.17 (0.33-4.11)
0.66 (0.19-2.32)
School level
  
  Primary school
1
1
  Secondary school
0.61 (0.42-0.89)*
0.57 (0.39-0.83)*
  High school
2.48 (1.71-3.59)*
2.22 (1.54-3.20)*
Work hours per week (h)
  
  ≤40
1
1
  >40
1.26 (0.95-1.67)
0.96 (0.72-1.27)
Hours of lessons per week (h)
  
  <14
1
1
  ≥14
1.95 (1.46-2.60)*
1.73 (1.31-2.30)*
Hours of working with computer per day (h)
  
  <4
1
1
  ≥4
1.82 (1.25-2.66)*
1.13 (0.91-1.91)
Prolonged standing
  
  No
1
1
  Yes
2.23 (1.48-3.78)*
1.88 (1.25-2.84)*
Prolonged sitting
  
  No
1
1
  Yes
1.78 (1.36-2.34)*
1.60 (1.22-2.10)*
Prolonged static posture
  
  No
1
1
  Yes
3.20 (2.42-4.24)*
2.58 (1.96-3.42)*
Working with hands above shoulder
  
  No
1
1
  Yes
1.55 (1.18-2.03)*
1.62 (1.23-2.13)*
Lifting of weight with hand ≥20 kg
  
  No
1
1
  Yes
1.07 (0.66-1.74)
1.40 (0.86-2.27)
Holding the neck in a forward bent posture for a long time
 
  No
1
1
  Yes
2.18 (1.66-2.87)*
2.33 (1.77-3.07)*
Have enough rest time
  
  No
1
1
  Yes
0.82 (0.63-1.08)
0.68 (0.52-0.90)*
Posture characterized by twisting
  
  No
1
1
  Yes
1.94 (1.41-2.69)*
2.53 (1.83-3.52)*
Uncomfortable back support
  
  No
1
1
  Yes
2.60 (1.98-3.46)*
2.64 (2.00-3.50)*
All OR are adjusted for age as a continuous variable and gender.
*Wald test, p < 0.05.
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
 
NSP
LBP
Factors
OR (95% CI)
OR (95% CI)
Female gender
1.84 (1.25-2.71)*
1.41 (0.97-2.07)
Physical exercise per week (h) ≥7 h
0.55 (0.35-0.86)*
0.71 (0.46-1.09)
School level
  
  Primary school
1
1
  Secondary school
0.96 (0.60-1.54)
0.68 (0.42-1.08)
  High school
2.35 (1.43-3.85)*
2.01 (1.24-3.27)*
Hours of lessons per week (h) ≥14 h
1.21 (0.83-1.76)
1.05 (0.72-1.52)
Hours of working with computer per day (h) ≥4 h
1.02 (0.63-1.65)
0.71 (0.44-1.14)
Prolonged standing
1.74 (1.03-2.95)*
1.48 (0.88-2.50)
Prolonged sitting
1.76 (1.23-2.52)*
1.42 (1.01-2.02)*
Prolonged static posture
2.25 (1.56-3.24)*
1.60 (1.11-2.31)*
Working with hands above shoulder
1.21 (0.86-1.71)
1.27 (0.90-1.79)
Holding the neck in a forward bent posture for a long time
1.12 (0.77-1.63)
1.32 (0.91-1.91)
Have enough rest time
1.42 (0.98-2.04)
1.08 (0.76-1.55)
Posture characterized by twisting
1.16 (0.77-1.73)
1.93 (1.30-2.87)*
Uncomfortable back support
1.77 (1.32-2.55)*
1.62 (1.13-2.32)*
All OR are mutually adjusted and adjusted for age as a continuous variable and gender.
*Wald test, p < 0.05.

Discussion

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].
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.

Conclusion

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.

Acknowledgement

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.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.
Literatur
1.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
2.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat 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.CrossRef 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.CrossRef
4.
Zurück zum Zitat 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.PubMedPubMedCentral 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.PubMedPubMedCentral
5.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
6.
Zurück zum Zitat 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.CrossRef 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.CrossRef
7.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
8.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
9.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
10.
Zurück zum Zitat 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 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
11.
Zurück zum Zitat 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.CrossRef 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.CrossRef
12.
Zurück zum Zitat 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.CrossRef 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.CrossRef
13.
Zurück zum Zitat 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. 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.
14.
Zurück zum Zitat 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.CrossRef 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.CrossRef
15.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
16.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
17.
Zurück zum Zitat 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. 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.
18.
Zurück zum Zitat 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 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
19.
Zurück zum Zitat 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.CrossRef 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.CrossRef
20.
Zurück zum Zitat 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.CrossRef 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.CrossRef
21.
Zurück zum Zitat 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. 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.
22.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
24.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
25.
Zurück zum Zitat Treaster D, Burr D: Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics. 2004, 47 (5): 495-526. 10.1080/00140130310001638171.CrossRefPubMed Treaster D, Burr D: Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics. 2004, 47 (5): 495-526. 10.1080/00140130310001638171.CrossRefPubMed
26.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
27.
Zurück zum Zitat 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. 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.
28.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
29.
Zurück zum Zitat 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. 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.
30.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
31.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
32.
Zurück zum Zitat 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.CrossRef 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.CrossRef
33.
Zurück zum Zitat 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. 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.
34.
Zurück zum Zitat 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. 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.
35.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
36.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
37.
Zurück zum Zitat Council NR: Musculoskeletal disorders and the workplace: low back and upper extremities. 2001, Washington, DC, USA: National Research Council/Institute of Medicine Council NR: Musculoskeletal disorders and the workplace: low back and upper extremities. 2001, Washington, DC, USA: National Research Council/Institute of Medicine
38.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
39.
Zurück zum Zitat 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.CrossRef 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.CrossRef
40.
Zurück zum Zitat Pope MH, Goh KL, Magnusson ML: Spine ergonomics. Annu Rev Biomed Eng. 2002, 4 (1): 49-68. 10.1146/annurev.bioeng.4.092101.122107.CrossRefPubMed Pope MH, Goh KL, Magnusson ML: Spine ergonomics. Annu Rev Biomed Eng. 2002, 4 (1): 49-68. 10.1146/annurev.bioeng.4.092101.122107.CrossRefPubMed
41.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
42.
Zurück zum Zitat 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 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
43.
Zurück zum Zitat 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 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
Metadaten
Titel
Neck/shoulder pain and low back pain among school teachers in China, prevalence and risk factors
verfasst von
Pengying Yue
Fengying Liu
Liping Li
Publikationsdatum
01.12.2012
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2012
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-12-789

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