Low back-pain among school-teachers in Southern Tunisia: prevalence and predictors
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Mouna Baklouti
, Houda Ben Ayed
, Nouha Ketata , Hanen Maamri , Raouf Karray , Jihene Jdidi , Yosra Mejdoub , Mondher Kassis , Sourour Yaich and Jamel Dammak
Abstract
Objectives
In the professional environment, low back pain (LBP) is a multifactorial symptomatology, despite scientific and technological advances in the design and the arrangement of increasingly ergonomic workstations. Teachers are not exempt from this risk, due to prolonged sitting or standing. In light of this, this study aimed to estimate LBP prevalence among teachers in Southern Tunisia and to identify their determinants.
Methods
It was a cross-sectional study including a representative sample of teachers from secondary, middle, and primary schools in Sfax, Tunisia, conducted during the period March-April 2021. LBP intensity was assessed using a visual analog scale from 1 to 10. A severe LBP was defined as VAS≥7.
Results
Among the participants, 292 teachers were females (55.6 %). The median age was 48 years (Interquartile Range (IQR)=[41–53] years). Overall, 377 teachers had a severe LBP, with a global prevalence of 71.8 %. Multivariate analysis showed that independent determinants of LBP among teachers were female gender (Adjusted Odds Ratio (AOR)=2.81;p<0.001), age ≥30 (AOR=5.68;p=0.009), chronic diseases (AOR=2.52;p<0.001), working at primary schools (AOR=1.75;p=0.033), working for ≥4 h per day (AOR=2.41;p=0.005), inadequate ergonomic conditions at work (AOR=1.78;p=0.008) and distance home-school ≥10 km (AOR=2.27;p=0.003).
Conclusions
This study demonstrated that LBP among teachers was alarmingly high. Different individual, ergonomic, and occupational factors were predictors of this symptom. Thus, development of rational strategies for LBP prevention among teachers and the improvement of working conditions are urgently needed.
Background
The World Health Organization has characterized “work-related” diseases as multifactorial to indicate that several risk factors, such as physical, work organizational, psychosocial, individual, and sociocultural that contributed to initiating these diseases or disorders [1]. As one of the most prevalent work-related diseases and the most disabling condition affecting people in their productive years, musculoskeletal disorders are major health issues that have a substantial influence on the general population’s quality of life [2].
The changes in the education and school systems have led to more pressures on teachers, predispose them to both stress and ergonomic risks that may affect their physical health, which includes musculoskeletal disorders [3]. The National Institute for Colombian Occupational Safety and Health defined musculoskeletal disorders as a group of conditions that involved the nerves, tendons, muscles and supporting structures of the body [1]. Teaching is a job requiring a lot of mental and physical efforts as well as concentration, since it does not only include teaching, but also preparing lessons at home, evaluating students’ homework, preparing, and correcting exams and sometimes teachers were asked to assure other extra activities. Consequently, teachers are faced to various types of both physical and psychological health problems, which could be related to professional factors and work conditions [4].
Low back pain (LBP) is one of the most prevalent musculoskeletal diseases that affects the working population, including teachers, and is a leading cause of disability in both developed and developing countries [5]. It has been shown that LBP is an important health and socio-economic problem of occupational diseases, which touched a large section of occupational population especially teachers [6]. It represented one of the major reasons for consulting in both primary care and emergency setting and one of the most common reasons for absenteeism and loss of productivity [7]. LBP could certainly affect activities of daily living and this fact was reported by previous data [8, 9]. It could reduce mainly the work ability and sexual function [8].
LBP lifetime prevalence has been estimated at nearly 70 % among the general population [10]. Among teachers, a highly exposed population to this problem, several previous data focused on studying this health concern among school-teachers. The prevalence of LBP was variable and ranged between 20 % in Japan in 2002 [6], 40 % in Philippines in 2020 [4], 50 % in Malaysia in 2020 [11] and 90 % as reported in an international systematic review in 2011 [12].
In Tunisia, medical visits for teachers at the workplace to ensure their control and health monitoring are still insufficient and missing. On the other hand, the material conditions are unfavorable and the workload in Tunisian schools could promote or aggravate the occurrence of LBP among teachers. Quantifying this problem among teachers in the local area and determining its risk factors seems to have a permanent importance. However, only limited studies have been conducted considering all these factors among teachers.
In light of this, this study aimed to estimate the LBP prevalence among school-teachers in Southern Tunisia and to identify their main determinants.
Methods
Study design and settings
It was a cross-sectional study including a representative sample of teachers working at primary, middle, and secondary schools in Sfax, Tunisia, during the period March, 1st to April, 30th, 2021.
Inclusion criteria and sampling procedures
Teachers of all ages that were present at the day of the survey were included. Incomplete responses were excluded. The participants were selected, using a two-step-stratified sampling to select teachers from primary, middle and secondary public schools in rural and urban zones, proportionally to the number of teachers in each school and in each educational level to obtain a representative sample of teachers.
An exhaustive and update list of all public schools in the governorate of Sfax was obtained from the Sfax Regional Education Directorate. We carried out a three-step cluster sampling procedure: the first step consisted of cluster selection of four delegations from both urban or rural areas. Secondly, schools in each selected delegation were stratified according to their level of study into three groups: primary, middle and high-schools. Afterwards, a batch of establishments was drawn randomly from each group, proportionally to the number of teachers in each school. Then, within each eligible establishment, we carried out an elementary random selection of teachers, proportionally to their number in each educational level.
The sample size calculation was proceeded according to the following formula:
N=[Z*p0*(1-p0)]/i2; N=sample size, Z=1.96 for a 95 % confidence level, i= margin of error 4 %, p0=20 %. The latter was the prevalence of LBP published in a previous similar study among school personnel in Nagoya, Japan [6]. Then, we majored the sample by 10 % to take into account missing data or incomplete responses, giving a minimum required sample of 345.
Data collection and case definition
Data were collected using a self-administered questionnaire distributed anonymously to the participants in the teachers’ meeting room during their break between lessons. The study tool was composed of three major parts. The first one included personal, sociodemographic, and clinical characteristics of teachers. Inactive lifestyle was defined as the absence of regular walking or sports activity, regardless of its intensity [13]. Moderate physical activity was defined by practicing regularly walking briskly, dancing, and playing doubles tennis for a duration ≥30 min per day and for ≥3 days per week [14]. Chronic diseases were defined as long duration diseases, generally slow in progression and not transferable from one individual to another, such asheart disease, cancer, and diabetes [15]. The second part focused on the working conditions and the professional characteristics. The last part concerned teachers’ physical health.
LBP was defined as a pain that affects the lumbar region of the spine: “This is the lower part of the back, between your hips and the bottom of your ribcage. The pain is usually associated with muscle tension, and often limits your range of movement” [16]. This definition was explained by the investigators to the participants, who were asked to respond to the question “Do you have a LBP?” and to indicate its intensity on a horizontal visual analogue scale graduated from 1 to 10. A severe LBP was defined as VAS≥7 [13].
In this study, we included all LBP according to the previous definition and that was self-reported by teachers included in our study. The intensity was assessed using a visual analogue scale, and then we studied factors associated with severe LBP.
All LBP cases who were chronic, during at least 3 months, mechanical or inflammatory, intermittent, or constant pain, with or without projection were included in our study.
“Body mass index (BMI) was calculated by dividing weight in kilograms by the square of height in meters measured by a standardized method among all participants”. “Overweight and obesity were defined by a BMI≥25 kg/sq.m. and ≥30 kg/sq.m., respectively” [17].
Ethical considerations
Anonymity and privacy were maintained during our survey. The participation was entirely volunteer. We presented the survey to ethical committee in our region and we obtained the ethical approval (Ethical committee number 0474/2023). We should mention that in Tunisia the questionnaire-based research is exempt from IRB approval in Tunisia.
Statistical analysis
Data were analyzed using SPSS. The descriptive results of continuous variables were presented as mean ± standard deviation or median and interquartile range (IQR), according to the normality of distribution. Categorical variables were presented as percentages. Chi-square test was used to compare two categorical variables in independent samples [Crude Odds Ratio (COR); 95 % Confidence Interval (95 %CI), p)]. Then, factors statistically associated with LBP in the univariate analysis were entered into a multivariate model using a logistic binary regression [adjusted Odds Ratio; (AOR) 95 %CI, p] to identify the teachers’ determinants of LBP. Calibration was assessed using the Hosmer-Lemeshow test for goodness of fit, which evaluated expected and observed probabilities in population deciles. The discriminatory power of the prediction model was expressed as the area under the receiver operating characteristic curve (AUROC). The sensitivity and the specificity of the prediction model were calculated. A p value<0.05 were considered as statistically significant.
Results
Description of the study population
Among 540 enrollees, 525 teachers completed the questionnaire, giving a response rate of 97 %. Overall, 233 teachers were males (44.4 %), and the median age was 48 years (IQR=[41–53] years). There were 424 teachers (80.8 %) working at urban localities and 256 (48.8 %) subjects working at secondary schools. Chronic diseases were noted among 132 participants (21.5 %) and 85 teachers were current smokers (16.1 %). Overall, 377 teachers reported a severe form of LBP, giving a global prevalence of 71.8 %. The median value of the VAS among participants was about 4 (IQR= [1–6]) (Table 1).
Description of the study population.
| Characteristics | Number | Percentage |
|---|---|---|
| Gender | ||
| Male | 233 | 44.4 |
| Female | 292 | 55.6 |
| Marital status | ||
| Married | 478 | 91 |
| Unmarried | 47 | 9 |
| Establishment locality | ||
| Urban | 424 | 80.8 |
| Rural | 101 | 19.2 |
| Work seniority | ||
| ≤20 | 248 | 47.2 |
| >20 | 277 | 52.8 |
| Number of working hour per day ≥4 | 438 | 83.4 |
| Institution type | ||
| Primary schools | 151 | 28.8 |
| Middle schools | 118 | 22.5 |
| Secondary schools | 256 | 48.8 |
| Tobacco consumption | ||
| Current smoker | 85 | 16.2 |
| Passive smoker | 193 | 36.8 |
| Other addictive behaviors | ||
| Alcohol consumption | 41 | 7.8 |
| Illicit drug use | 7 | 1.3 |
| Severe back pain frequency (VAS)a≥7 | 377 | 71.8 |
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aVAS, visual analogic scale.
Factors associated with LBP among teachers: results of univariate analysis
Personal factors associated with LBP among school-teachers were female gender (COR=2.6; p<0.001), age ≥30 (COR=3.35; p=0.04), having a history of chronic diseases (COR=2.33; p<0.001), obesity (COR=1.75; p=0.014), moderate and regular physical activity (COR=0.65; p=0.036). Professional factors associated with LBP were working for ≥4 h per day (COR=2.2; p=0.007), prolonged sitting position ≥6 h per day (COR=1.65; p=0.040), inadequate ergonomic conditions at work (COR=1.77; p=0.004), perception of work overload (COR=1.7; p=0.005), working at primary schools (COR=1.88; p=0.002), distance home-institution ≥10 km (COR=1.62; p=0.046) and a number of taught students ≥120 (COR=1.48; p=0.040) (Table 2).
Factors associated with back pain among school teachers: results of univariate analysis.
| Variables | Severe back pain | CORa (95 % CIa) | p-Value | |
|---|---|---|---|---|
| Yes (na, %a) | No (na, %a) | |||
| Gender | ||||
| Male | 46 (19.7) | 187 (80.3) | 1 | |
| Female | 114 (39) | 178 (61) | 2.6 [1.75–3.88] | <0.001 |
| Age groups | ||||
| <30 | 3 (12) | 22 (88) | 1 | |
| ≥30 | 157 (31.4) | 343 (68.6) | 3.35 [1.1–11.38] | 0.040 |
| Educational locality | ||||
| Rural | 30 (29.7) | 71 (70.3) | 1 | |
| Urban | 130 (30.7) | 294 (69.3) | 0.95 [0.59–1.53] | 0.851 |
| Marital status | ||||
| Married | 15 (31.9) | 32 (68.1) | 1 | |
| Unmarried | 145 (30.3) | 333 (69.7) | 0.93 [0.48–1.77] | 0.822 |
| Have you children? | ||||
| No | 13 (25) | 39 (75) | 1 | |
| Yes | 147 (31.1) | 326 (68.9) | 1.35 [0.7–2.6] | 0.366 |
| Chronic diseases | ||||
| No | 101 (25.7) | 292 (74.3) | 1 | |
| Yes | 59 (44.7) | 73 (55.3) | 2.33 [1.55–3.52] | <0.001 |
| Obesity | ||||
| No | 119 (28.1) | 305 (71.9) | 1 | |
| Yes | 41 (40.6) | 60 (59.4) | 1.75 [1.11–2.74] | 0.014 |
| Inactive lifestyle | ||||
| No | 47 (35.3) | 86 (64.7) | 1 | |
| Yes | 113 (28.8) | 279 (71.2) | 0.74 [0.48–1.12] | 0.159 |
| Prolonged sitting position (hours per day) | ||||
| <6 | 128 (28.8) | 317 (71.2) | 1 | |
| ≥6 | 32 (40) | 48 (60) | 1.65 [1.01–2.70] | 0.044 |
| Moderate and regular physical activity | ||||
| No | 58 (36.9) | 99 (63.1) | 1 | |
| Yes | 102 (27.7) | 266 (72.3) | 0.65 [0.44–0.97] | 0.036 |
| Working area | ||||
| Within the family region | 134 (29.6) | 318 (70.4) | 1 | |
| Far from the family region | 26 (35.6) | 47 (64.4) | 1.31 [0.78–2.21] | 0.304 |
| Number of work hours per day | ||||
| <4 | 16 (18.4) | 71 (81.6) | 1 | |
| ≥4 | 144 (32.9) | 294 (67.1) | 2.2 [1.22–3.87] | 0.007 |
| Inadequate ergonomic conditions at work | ||||
| No | 52 (23.6) | 168 (76.4) | 1 | |
| Yes | 108 (35.4) | 197 (64.6) | 1.77 [1.2–2.61] | 0.004 |
| Institution type | ||||
| Middle or secondary schools | 99 (26.5) | 275 (73.5) | 1 | |
| Primary schools | 61 (40.4) | 90 (59.6) | 1.88 [1.31–2.85] | 0.002 |
| Distance home-institution (in kilometer) | ||||
| <10 | 126 (28.7) | 313 (71.3) | 1 | |
| ≥10 | 34 (39.5) | 52 (60.5) | 1.62 [1.01–2.62] | 0.046 |
| Perception of work overload | ||||
| No | 70 (25.2) | 208 (74.8) | 1 | |
| Yes | 90 (36.4) | 157 (63.6) | 1.70 [1.17–2.47] | 0.005 |
| Number of students taught | ||||
| <120 | 81 (26.9) | 220 (73.1) | 1 | |
| ≥120 | 79 (35.3) | 145 (64.7) | 1.48 [1.02–2.15] | 0.040 |
| Smoking status | ||||
| Former or current smoker | 40 (22.1) | 141 (77.9) | 1 | |
| Never smoker | 120 (34.9) | 224 (65.1) | 1.88 [1.25–2.85] | 0.002 |
| Exposure to passive tobacco | ||||
| No | 106 (31.9) | 226 (68.1) | 1 | |
| Yes | 54 (28) | 139 (72) | 0.82 [0.56–1.22] | 0.343 |
| Previous infection with COVID-19 | ||||
| No | 130 (30) | 303 (70) | 1 | |
| Yes | 30 (32.6) | 62 (67.4) | 1.13 [0.70–1.83] | 0.625 |
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an, number; %, percentage; COR, crude odds ratio. Bold values represent p<10−3.
Independent predictors of LBP among teachers: results of multivariate analysis
Logistic multivariate model
Multivariate analysis showed that independent determinants of LBP among South Tunisian teachers were female gender (AOR=2.81; p<0.001), age≥30 (AOR=5.68; p=0.009), chronic diseases (AOR=2.52; p<0.001), working at primary schools (AOR=1.75; p=0.033), working for ≥4 h per day (AOR=2.41; p=0.005), inadequate ergonomic conditions at work (AOR=1.78; p=0.008) and distance home-institution (in kilometer) ≥10 (AOR=2.27; p=0.003) (Table 3).
Predictors of low-back pain among Tunisian teachers: results of multivariate logistic regression model.
| Independent factors | AORa | 95 % CIa | p-Value |
|---|---|---|---|
| Gender | |||
| Male | 1 | ||
| Female | 2.81 | [1.84–4.31] | <0.001 |
| Age groups | |||
| <30 | 1 | ||
| ≥30 | 5.68 | [1.55–20.89] | 0.009 |
| Chronic diseases | |||
| No | 1 | ||
| Yes | 2.52 | [1.61–3.93] | <0.001 |
| Institution type | |||
| Middle and secondary schools | 1 | ||
| Primary schools | 1.75 | [1.04–2.95] | 0.033 |
| Inadequate ergonomic conditions at work | |||
| No | 1 | ||
| Yes | 1.78 | [1.16–2.72] | 0.008 |
| Working hours per day | |||
| <4 | 1 | ||
| ≥4 | 2.41 | [1.29–4.46] | 0.005 |
| Distance home-institution (in kilometer) | |||
| <10 | 1 | ||
| ≥10 | 2.27 | [1.33–3.88] | 0.003 |
-
aAOR, adjusted odds ratio; CI, confidence interval. Bold values represent p<10−3.
Validity of the model
The results of Hosmer-Lemshow chi-square testing (χ 2=5.06; p=0.75) were indicative of good calibration. The AUROC of the predictive logistic regression model was 0.73; p<0.001, indicating good predictive power in discriminating LBP patients, with a sensitivity of 75 % and a specificity of 78 %.
Discussions
To the best of our knowledge, this is the first study examining the magnitude and the risk factors of work-related LBP among South-Tunisian school-teachers. The global prevalence of LBP was 71.8 %. As there had not been any similar study in Tunisia conducted on teachers, on other professions or on general population, the results could only be compared with those from other countries. The prevalence rates of back and neck pain were extremely variable across the world. They were about 26 % in Austria, 47 % in the European Union [18], 41 % in Brazil [19], 62 % in Italy [20] and 46 % in China [21]. The previous reported rates of LBP among school-teachers were lower than our results. This could be related to the fact that in developed countries material and work conditions in schools were more favorable and suitable for teachers [22]. As well, the workload could be an additional argument, given the small number of teachers and the relatively high number of students, related probably to the demographic characteristics of the Tunisian population and the scarcity of the resources [23]. In the developing countries, limited data evaluated LBP among school-teachers; it was about 55 % in Jordan [24], 75 % in Turkey [25] and 40 % in Malaysia [26]. All these frequencies are far from being negligible or benign. Therefore, these alarming rates indicated the urgent necessity to pinpoint the determinants and the factors associated with this pathologic symptom among teachers to develop preventive strategies to restrict LBP among teachers.
The first underlined determinant was female gender. This fact was in line with a previous large-scale survey from Philippines in 2020 [6] and with other international data from Malaysia, Japan and Brazil [27]. The possible reasons of this independent association were firstly the difference between males and females in terms of practicing physical regular exercise, which was universally known as a protective factor from LBP. In fact, among Tunisian general population, males were reported to be more likely involved in regular physical activity [28]. Secondly, the overload that female teachers must face daily compared with males could be another explanation. Indeed, apart from teaching and other school activities, women were also called to do many domestic households after work [4]. Another explication could be attributed to this was that women had more likely suffered from physical and psychological pain, compared with men and this was related to physiologic differences between genders [21].
Another interesting result in the present study was that advanced age was an independent factor of LBP, which was in line with previous studies [4, 21, 29]. Age was largely known as an associated factor with musculoskeletal disorders. A possible explanation of this fact was that senior teachers had more responsibilities than recently recruited ones, such as supervising, teaching terminal classes, and preparing exams, so that they were more at risk to develop LBP [4]. In addition, the physiologic degradation of muscle tonicity as well as bone force and density could be another reason for aged teachers to have more LBP [21].
The present study showed that a history of chronic diseases was independently associated with LBP. This finding was similarly reported in a recent published study from Germany [30]. This could be related to the increased vulnerability of teachers with chronic diseases to more perceive pain. This fact was considered not only for osteoarticular diseases specifically but also for internal diseases psychological, neurological, respiratory, and oncological diseases [30, 31].
Working ≥4 h/day was another predictive factor. Several precedent data were harmonized with this result. In fact, this might be because of the physical efforts during teaching, including prolonged standing in an inappropriate way for more than a few hours inside the classroom [31]. Consequently, encouraging break times during working hours and performing regular daily exercises could reduce the extent of this problem.
Working at primary schools was also an independent factor of LBP. Results reported previously were controversial [21, 32, 33]. It seems that teachers in primary schools in our country had higher work-load and more inadequate working conditions. Furthermore, primary school teachers had more physically demanding work, such as long hours of standing, sitting, pliable and uncomfortable posture [34], so that they experienced more LBP.
Inadequate ergonomic conditions at work were found to be an independent predictor of LBP. This fact was illustrated previously [21, 33, 35]. In fact, inappropriate work conditions such as uncomfortable chairs with proper back support deficiency or lack of adapted boards could make teachers adopting bad postures [29].
Distance home-institution (in kilometer) ≥10 was also an independent factor of LBP. Increased LBP among teachers that spent a daily long-distance home-institution could be explained by the extra time spent to arrive at the workplace, which could intensify the fatigue level for teachers and could be an additional factor of bad postures.
This study was original and valuable highlighting the prevalence and the determinants of LBP among South Tunisian teachers. This study could be used as a referent document, since it was carried out on a representative randomized sample of teachers. Furthermore, the detailed and clear methodology of this work gave an added value because it provided clarity and reproducibility. Nevertheless, there are few limitations. Specifically, the cross-sectional design of this study does not necessarily determine cause and effect; only associations between risk factors and LBP can be established. Moreover, the data collection was a time-demanding process, and it was difficult to estimate the prevalence of neck-shoulder pain simultaneously to the LBP. Besides, the low likelihood of significant multiplicity issues should be considered due to multiple comparisons performed in this study. Further adjustment methods are required to have more accurate results. Lastly, although the used instrument contains validated scales both internationally and locally, there was still a possibility of bias results since the data collection tool was self-administered.
Conclusions
The findings of this study pointed up an alarmingly high prevalence rate of LBP among Tunisian teachers. Several individual, ergonomic, and occupational factors were potential predictors of this symptom. This survey underlined the need to promote rational strategies for LBP prevention among teachers, starting firstly from the improvement of working conditions, with a special accent on the most vulnerable categories and the exposed to predictors as well. Given the noble and the major purpose of education towards the progress of nations, teachers’ well-being should be a priority for policymakers to ensure a good education quality for future generations.
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Research funding: None declared.
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Conflicts of interest: The authors declare no conflicts of interest regarding this article.
References
1. Putz-Anderson, V, Bernard, BP, Burt, SE, Cole, LL, Fairfield-Estil, C, Fine, LJ, et al.. Musculoskeletal disorders and workplace factors a critical review of epidemiologic evidence for work-related musculoskeletal disorders of the neck, upper extremity, and low back. Columbia Parkway: U.S. Department of health and human services public health service centers for disease control and prevention national institute for occupational safety and health; 1997.Search in Google Scholar
2. National Research Council (US) and Institute of Medicine (US). Panel on musculoskeletal disorders and the workplace. Musculoskeletal disorders and the workplace: low back and upper extremities. Washington (DC): National Academies Press (US); 2001.Search in Google Scholar
3. Kraemer, K, Moreira, MF, Guimarães, B. Musculoskeletal pain and ergonomic risks in teachers of a federal institution. Rev Bras Med do Trab 2021;18:343–51. https://doi.org/10.47626/1679-4435-2020-608.Search in Google Scholar PubMed PubMed Central
4. Mekoulou Ndongo, J, Bika Lele, EC, Guessogo, WR, Meche, LP, Ayina Ayina, CN, Guyot, J, et al.. Musculoskeletal disorders among secondary school teachers in Douala, Cameroon: the effect of the practice of physical activities. Front Rehabilit Sci 2022;3:1023740. https://doi.org/10.3389/fresc.2022.1023740.Search in Google Scholar PubMed PubMed Central
5. Wu, A, March, L, Zheng, X, Huang, J, Wang, X, Zhao, J, et al.. Global low back pain prevalence and years lived with disability from 1990 to 2017: estimates from the Global Burden of Disease Study 2017. Ann Transl Med 2020;8:299. https://doi.org/10.21037/atm.2020.02.175.Search in Google Scholar PubMed PubMed Central
6. Tsuboi, H, Takeuchi, K, Watanabe, M, Hori, R, Kobayashi, F. Psychosocial factors related to low back pain among school personnel in Nagoya, Japan. Ind Health 2002;40:266–71. https://doi.org/10.2486/indhealth.40.266.Search in Google Scholar PubMed
7. Casiano, VE, Sarwan, G, Dydyk, AM, Back pain. In: StatPearls. StatPearls Publishing, Treasure Island (FL); 2023.Search in Google Scholar
8. Grabovac, I, Dorner, TE. Association between low back pain and various everyday performances: activities of daily living, ability to work and sexual function. Wien Klin Wochenschr 2019;131:541–9. https://doi.org/10.1007/s00508-019-01542-7.Search in Google Scholar PubMed PubMed Central
9. Björklund, M, Hamberg, J, Heiden, M, Barnekow-Bergkvist, M (2007). The assessment of symptoms and functional limitations in low back pain patients: validity and reliability of a new questionnaire. Eur Spine J. 2007;16:1799–811, https://doi.org/10.1007/s00586-007-0405-z.Search in Google Scholar PubMed PubMed Central
10. Lipton, M. Epidemiologic aspects of low back pain in industry. J Occup Environ Med 1981;6:53–60. https://doi.org/10.1097/00043764-198111000-00027.Search in Google Scholar
11. Zamri, EN, Hoe, VCW, Moy, FM. Predictors of low back pain among secondary school teachers in Malaysia: a longitudinal study. Ind Health 2020;58:254–64. https://doi.org/10.2486/indhealth.2019-0106.Search in Google Scholar PubMed PubMed Central
12. Erick, PN, Smith, DR. A systematic review of musculoskeletal disorders among school teachers. BMC Muscoskel Disord 2011;12:13–7. https://doi.org/10.1186/1471-2474-12-260.Search in Google Scholar PubMed PubMed Central
13. Crichton, N. Visual analog scale (VAS) – in depth. J Clin Nurs 2001;10:697–706. https://doi.org/10.1046/j.1365-2702.2001.00525.x.Search in Google Scholar PubMed
14. Thivel, D, Tremblay, A, Genin, PM, Panahi, S, Rivière, D, Duclos, M. Physical activity, inactivity, and sedentary behaviors: definitions and implications in occupational health. Front Public Health 2018;6:1–5. https://doi.org/10.3389/fpubh.2018.00288.Search in Google Scholar PubMed PubMed Central
15. MacIntosh, BR, Murias, JM, Keir, DA, Weir, JM. What is moderate to vigorous exercise intensity? Front Physiol 2021;12:682233. https://doi.org/10.3389/fphys.2021.682233.Search in Google Scholar PubMed PubMed Central
16. InformedHealth.org. Low back pain: signs of serious problems. Cologne, Germany: Institute for Quality and Efficiency in Health Care (IQWiG); 2006.Search in Google Scholar
17. Purnell, JQ. Definitions, classification, and epidemiology of obesity. In: Feingold, KR, Anawalt, B, Blackman, MR, et al.., editors. Endotext. MDText.com, Inc., South Dartmouth (MA); 2018.Search in Google Scholar
18. Hoppe, P, Reibnegger, H, Boxhofer, E, Leeb, A, Frenner, I, Schwartz, B. Physical and psychological strain in upper Austrian elementary school teachers – an observational study. Ergonomics 2022;66:1–15. https://doi.org/10.1080/00140139.2022.2100927.Search in Google Scholar PubMed
19. Erick, PN, Smith, DR. Low back pain among school teachers in Botswana, prevalence and risk factors. BMC Muscoskel Disord 2014;15:1471–2474. https://doi.org/10.1186/1471-2474-15-359.Search in Google Scholar PubMed PubMed Central
20. Pillastrini, P, Mugnai, R, Bertozzi, L, Costi, S, Curti, S, Mattioli, S, et al.. Effectiveness of an at-work exercise program in the prevention and management of neck and low back complaints in nursery school teachers. Ind Health 2009;47:349–54. https://doi.org/10.2486/indhealth.47.349.Search in Google Scholar PubMed
21. Yue, P, Liu, F, Li, L. Neck/shoulder pain and low back pain among school teachers in China, prevalence and risk factors. BMC Publ Health 2012;12:1471–2458. https://doi.org/10.1186/1471-2458-12-789.Search in Google Scholar PubMed PubMed Central
22. SegunOlanrewaju, OO. Improving the conditions of teachers and teaching in rural Africa. Ethiopia: Unesco; 2011:1–93 pp.Search in Google Scholar
23. Hafsi, A. Perception des conditions de travail et perspectives professionnelles chez les enseignants des collèges en Tunisie. Prat Psychol 2019;25:265–83. https://doi.org/10.1016/j.prps.2018.10.001.Search in Google Scholar
24. Alghwiri, A, Marchetti, G. Occupational back pain among schoolteachers in Jordan: estimated prevalence and factors associated with self-reported pain and work limitations. Int J Occup Saf Ergon 2018;24:341–6. https://doi.org/10.1080/10803548.2016.1247605.Search in Google Scholar PubMed
25. Durmus, D, Ilhanli, I. Are there work-related musculoskeletal problems among teachers in Samsun, Turkey? J Back Musculoskelet Rehabil 2012;25:5–12. https://doi.org/10.3233/bmr-2012-0304.Search in Google Scholar PubMed
26. 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;7:634–9. https://doi.org/10.3844/ajassp.2010.634.639.Search in Google Scholar
27. Mengestu, MY. Low back pain and associated factors among teachers in Gondar Town, North Gondar, Amhara region, Ethiopia. Occup Med Heal Aff 2013;01:1–8. https://doi.org/10.4172/2329-6879.1000127.Search in Google Scholar
28. Tunisian Health Examination Survey. Republic of Tunisia ministry of health. Tunisia: National Institute of Health; 2016:1–368 pp.Search in Google Scholar
29. Cardoso, JP, Ribeiro, IQB, Araújo, TM, Carvalho, FM, Reis, EJFBD. Prevalence of musculoskeletal pain among teachers Prevalência de dor. Rev Bras Epidemiol 2009;12:1–10.10.1590/S1415-790X2009000400010Search in Google Scholar
30. Haenel, J, Schoettker-Koeniger, T, Groneberg, DA, Wanke, EM. Determinants of pain occurrence in dance teachers. Scand J Pain 2021;21:308–16. https://doi.org/10.1515/sjpain-2020-0122.Search in Google Scholar PubMed
31. Kebede, A, Abebe, SM, Woldie, H, Yenit, MK. Low back pain and associated factors among primary school teachers in Mekele city, north Ethiopia: a cross-sectional study. Occup Ther Int 2019;2019:1–8. https://doi.org/10.1155/2019/3862946.Search in Google Scholar PubMed PubMed Central
32. Elias, HE, Downing, R, Mwangi, A. Low back pain among primary school teachers in Rural Kenya: prevalence and contributing factors. African J Prim Heal Care Fam Med 2019;11:1–7. https://doi.org/10.4102/phcfm.v11i1.1819.Search in Google Scholar PubMed PubMed Central
33. Bandpei, MAM, Ehsani, F, Behtash, H, Ghanipour, M. Occupational low back pain in primary and high school teachers: prevalence and associated factors. J Manip Physiol Ther 2014;37:702–8. https://doi.org/10.1016/j.jmpt.2014.09.006.Search in Google Scholar PubMed
34. Erick, PN, Smith, DR. Low back pain among school teachers in Botswana, prevalence and risk factors. BMC Muscoskel Disord 2014;15:1–13. https://doi.org/10.1186/1471-2474-15-359.Search in Google Scholar PubMed PubMed Central
35. Korkmaz, NC, Cavlak, U, Telci, EA. Musculoskeletal pain, associated risk factors and coping strategies in school teachers. Sci Res Essays 2011;6:649–57.Search in Google Scholar
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial Comment
- What do we mean by “biopsychosocial” in pain medicine?
- Systematic Review
- The efficacy of manual therapy on HRV in those with long-standing neck pain: a systematic review
- Clinical Pain Research
- Development of a binary classifier model from extended facial codes toward video-based pain recognition in cancer patients
- Experience and usability of a website containing research-based knowledge and tools for pain self-management: a mixed-method study in people with high-impact chronic pain
- Effect on orofacial pain in patients with chronic pain participating in a multimodal rehabilitation programme – a pilot study
- Analysis of Japanese nationwide health datasets: association between lifestyle habits and prevalence of neuropathic pain and fibromyalgia with reference to dementia-related diseases and Parkinson’s disease
- Impact of antidepressant medication on the analgetic effect of repetitive transcranial magnetic stimulation treatment of neuropathic pain. Preliminary findings from a registry study
- Does lumbar spinal decompression or fusion surgery influence outcome parameters in patients with intrathecal morphine treatment for persistent spinal pain syndrome type 2 (PSPS-T2)
- Original Experimentals
- Low back-pain among school-teachers in Southern Tunisia: prevalence and predictors
- Economic burden of osteoarthritis – multi-country estimates of direct and indirect costs from the BISCUITS study
- Demographic and clinical factors associated with psychological wellbeing in people with chronic, non-specific musculoskeletal pain engaged in multimodal rehabilitation: –a cross-sectional study with a correlational design
- Interventional pathway in the management of refractory post cholecystectomy pain (PCP) syndrome: a 6-year prospective audit in 60 patients
- Original Articles
- Preoperatively assessed offset analgesia predicts acute postoperative pain following orthognathic surgery
- Oxaliplatin causes increased offset analgesia during chemotherapy – a feasibility study
- Effects of conditioned pain modulation on Capsaicin-induced spreading muscle hyperalgesia in humans
- Effects of oral morphine on experimentally evoked itch and pain: a randomized, double-blind, placebo-controlled trial
- The potential effect of walking on quantitative sensory testing, pain catastrophizing, and perceived stress: an exploratory study
- What matters to people with chronic musculoskeletal pain consulting general practice? Comparing research priorities across different sectors
- Is there a geographic and gender divide in Europe regarding the biopsychosocial approach to pain research? An evaluation of the 12th EFIC congress
Articles in the same Issue
- Frontmatter
- Editorial Comment
- What do we mean by “biopsychosocial” in pain medicine?
- Systematic Review
- The efficacy of manual therapy on HRV in those with long-standing neck pain: a systematic review
- Clinical Pain Research
- Development of a binary classifier model from extended facial codes toward video-based pain recognition in cancer patients
- Experience and usability of a website containing research-based knowledge and tools for pain self-management: a mixed-method study in people with high-impact chronic pain
- Effect on orofacial pain in patients with chronic pain participating in a multimodal rehabilitation programme – a pilot study
- Analysis of Japanese nationwide health datasets: association between lifestyle habits and prevalence of neuropathic pain and fibromyalgia with reference to dementia-related diseases and Parkinson’s disease
- Impact of antidepressant medication on the analgetic effect of repetitive transcranial magnetic stimulation treatment of neuropathic pain. Preliminary findings from a registry study
- Does lumbar spinal decompression or fusion surgery influence outcome parameters in patients with intrathecal morphine treatment for persistent spinal pain syndrome type 2 (PSPS-T2)
- Original Experimentals
- Low back-pain among school-teachers in Southern Tunisia: prevalence and predictors
- Economic burden of osteoarthritis – multi-country estimates of direct and indirect costs from the BISCUITS study
- Demographic and clinical factors associated with psychological wellbeing in people with chronic, non-specific musculoskeletal pain engaged in multimodal rehabilitation: –a cross-sectional study with a correlational design
- Interventional pathway in the management of refractory post cholecystectomy pain (PCP) syndrome: a 6-year prospective audit in 60 patients
- Original Articles
- Preoperatively assessed offset analgesia predicts acute postoperative pain following orthognathic surgery
- Oxaliplatin causes increased offset analgesia during chemotherapy – a feasibility study
- Effects of conditioned pain modulation on Capsaicin-induced spreading muscle hyperalgesia in humans
- Effects of oral morphine on experimentally evoked itch and pain: a randomized, double-blind, placebo-controlled trial
- The potential effect of walking on quantitative sensory testing, pain catastrophizing, and perceived stress: an exploratory study
- What matters to people with chronic musculoskeletal pain consulting general practice? Comparing research priorities across different sectors
- Is there a geographic and gender divide in Europe regarding the biopsychosocial approach to pain research? An evaluation of the 12th EFIC congress