Extracted wind field results and observed wind vectors.
\r\n\tWithin this scenario, special attention needs to be devoted to financial implications, due to their pervasiveness. Nobody would question the key role that finance plays to complement the real sphere of the economy and that has increasingly attracted both academics and practitioners. As a result, traditional pillars – such as financial markets, products, and institutions – have evolved significantly, with financial innovation fueling further progress over time. The global side of the coin features – among others – financially connected markets, international financial exchanges, and financial conglomerates that provide valuable opportunities in terms of international corporate finance. On the other side, recent advances have involved a wider recourse to ESG factors, allowed forward steps towards a more inclusive financial system, and have made digital finance a must, rather than an option, even though much remains to be accomplished, for instance, to facilitate access to formal financial channels in many underdeveloped regions.
\r\n\r\n\t
\r\n\tThis book aims to examine emerging trends, new perspectives, and empirical applications that deal with globalization and sustainability. The goal is to provide a comprehensive overview of these important concepts as valuable support to successfully meet the challenges and take on the opportunities ahead. At the same time, drawing upon empirical evidence can contribute to bridging the gap between theory and practice, which also fits within the scope of this book.
Sea surface wind and current, directly related to almost all ocean water movement, are one of the most basic and crucial parameters in studies of hydrodynamic, ecological processes and global climatic change [1, 2], including the expansion of Yangtze (Changjiang River) Diluted Water (CDW) and shelf circulation in the Yangtze Estuary. In the summer, CDW extends to the northeast as a plume. While during winter it clings to the Chinese coast to the southwest in a narrow band. In the estuary, the prevailing monsoon climate results in stronger northerly winds during winter and weaker southerly winds during summer. Wind-driven Ekman transport cause the CDW distribution presenting significant seasonal variation [3, 4]. Therefore, it is indispensable to take the high-resolution ocean surface wind into consideration in the accurate numerical simulation of these phenomena. At present, there is lack of high-resolution in situ wind data in the East China Sea (ECS). Prevailing wind vector products are based on meteorological models and satellite-borne scatterometer (SCAT) measurements with only a resolution of around 25 km [5]. This resolution is insufficient to meet the calculation accuracy of the numerical model. SAR can acquire data with different resolutions (down to 1 m) and coverage (up to 400 km) over a site during day or night time under all weather conditions, being capable of retrieving ocean surface wind vectors with high resolution. The ERS-1 was launched in 1991 by European Space Agency, since then, SAR images have been continuously measuring the various global features and observing the ocean surface, such as ocean surface winds, waves, and currents [6, 7, 8]. Despite variations of wind field including direction and speed, SAR images have the capability to reveal high-resolution patterns, which can render possible the exciting prospect of measuring ocean surface wind from space, especially in the coastal regions.
For high resolution (~1 km) surface current measurements, it is highly necessary to have a good regular observing system. From the perspectives of economic, ecological and hydrodynamic, these data are of great importance for assimilation in ocean and shelf circulation models, which is capable of providing sufficient predictions of the continuous changes in the estuaries. At present, there are several techniques/equipment currently employed to observe sea flows, including current meter moorings, acoustic Doppler current profilers, drifters as well as remote sensing methods from satellites and ground based High Frequency Radar systems. Pandian et al. [9] discussed their inherent advantages and disadvantages of these instruments and techniques. Geostrophic currents derived from satellite altimetry [10], are now being used regularly in global and regional circulation models. However, it only has a spatial resolution of 25 km, which is too coarse to apply in the coastal regions. High-resolution imaging SARs have been demonstrated to have the promising capabilities for retrieving surface current estimates with resolution of 2–10 km [11, 12, 13, 14]. Two techniques have emerged notably the along-track interferometry SAR (AT-INSAR) requiring a split antenna [13, 15, 16] and the single-antenna SAR based on Doppler method [11]. Chapron et al. [17] pioneered to derive and discuss the slant range radar-detected velocity of the ocean surface roughness from Advanced SAR (ASAR) based on Doppler measurements of moving ocean surfaces, probably caused by the small-scale disturbances such as capillary waves. Moreover, their studies presented that the Doppler centroid anomalies observed by ASAR are of a geophysical properties. The Doppler anomalies are generated by the relative motion between ocean surface and radar platform, which are solely connected to the movement of the sea surface roughness elements. These anomalies can reflect the combined action of wind, waves and currents. The corresponding SAR images based on the Doppler frequency anomaly methods have been successfully applied to observe the Agulhas Current [12, 14], the Gulf Stream [11], the Norwegian Atlantic Current [18] and coastal current in the Yangtze Estuary. Therefore, SAR will play an increasingly critical role in the quantitative studies of ocean surface flow characteristics. In addition, the development of SAR Doppler technology will provide new opportunities for routinely observing and simulating mesoscale ocean processes and coastal current phenomena.
For sea surface wind direction extraction, 2D fast Fourier transformation (FFT) in the spectral domain was employed. The processing steps were as follows in order to obtain high-resolution wind direction information. Firstly, all pixels in SAR images not affected by the local ocean surface wind, such as land, surface slicks, ships and artifacts, were masked. Secondly, SAR images were divided into sub-images, which was set to 6.4 × 6.4 km to quantitatively express the resolution of wind direction. The reason for setting this scale is that the wind-driven streak characterizes typically present km-scale spacing. Next, we used the 2D FFT in SAR scenes to obtain the Fourier spectra and filters to eliminate high-frequency speckle in Fourier spectra. Fourthly, we constructed the regression according to the least-squares estimation, and set the energy densities for wavelengths between 500 and 2000 m. At last, the orientation of the wind streaks with an 180° directional ambiguity was extracted, which is perpendicular to the regression line. The directional ambiguity was subsequently removed according to the QuikSCAT or ECMWF wind products.
For sea surface wind speed extraction, the GMF CMOD4 was employed here. And it was originally designed to derive wind speed from SCAT, the SCAT instruments operate at C-band with VV polarization. SAR also operate at the same wavelength, therefore, the GMF CMOD4 is suitable for SAR images with VV polarization. The relationship between wind speed, wind direction, and NRCS (the GMF) is generally expressed by the form (1) [19]
where σ0 is the NRCS in linear units;
The GMF CMOD4 employed here was developed and validated using a large amount of measured data. For the C-band SAR images with HH polarization, a hybrid model including CMOD4 and the polarization ratio [20, 21] were employed. A flowchart of sea surface wind retrieval scheme is shown in Figure 1.
Flowchart of wind retrieval from SAR image.
In the processing of SAR images, the Doppler centroid frequency of the SAR signal
The velocity of satellite along track relative to the rotating Earth results in a frequency motion
There are several influence factors contaminating the geophysical Doppler frequency shift information, including radial discontinuities, antenna mis-pointing, strong discrete targets, low signal-to-noise ratio areas and Doppler estimator bias. Therefore, the estimation errors
The NRCS of ASAR WSM scene over Yangtze estuary on 31 January 2005 (left) and 5 February 2005 (right). Superimposed points on the right plot are the Doppler centroid grids. Arrows denote azimuth and range directions of ASAR image.
Wind-induced streaks are presented in the ASAR images. So, 2D FFT can be employed to extract the wind direction and CMOD4 to calculate the wind speed. Based on the CDOP model [24], we applied the ASAR derived-wind vectors to yield an estimation of the wind contributions to the Doppler frequency. In turn, these Doppler contributions from wind induced
The geophysical Doppler anomaly
where
Figure 3a and b showed the estimated wind directions by 2D FFT in the spectral domain at the Dajishan and Tanhu meteorological stations. Since the wind shadowing are visible in the SAR image, we can directly remove the 180° directional ambiguities. The sea surface wind directions retrieved from SAR scene are approximate to the observed measurements, which were presented in Table 1. Results from SAR scene and by WRF model are generally in good agreement with the observed values. Particularly, the difference between the SAR-retrieved wind direction and the observed measurement is less than 5°. When comparing wind speed retrieved from SAR scene and the WRF model with observed data, the results showed both retrieved wind speed are a little lower than the observed data. Generally, wind direction and wind speed derived from the SAR data are slightly better than the WRF model outputs.
Low-wavenumber of sea surface wind direction at (a) Dajishan and (b) Tanhu; wind vectors (c) from two ERS-2 SAR scenes on 4 May 2006, and (d) 5 km resolution wind field from SAR image.
Test site | Wind direction (°) | Wind speed (m/s) | ||||
---|---|---|---|---|---|---|
Observed data | SAR-retrieved | WRF model | Observed data | SAR-retrieved | WRF model | |
Dajishan | 340 | 343.0 | 335.0 | 9.8 | 8.6 | 8.3 |
Tanhu | 345 | 340.0 | 329.6 | 10.3 | 9.9 | 9.5 |
Extracted wind field results and observed wind vectors.
Two ERS-2 SAR images obtained over the Yangtze coastal area on 4 May 2006 were mosaicked and presented in Figure 3c. The upper SAR data were captured at 02:27 UTC and lower at 02:28 UTC, respectively. The wind vector results were superimposed on the SAR images. The black arrows denoted the wind retrieved from SAR images and the white arrows presented those calculated by WRF model. The observed data at the Dajishan and Tanhu meteorological stations were also superimposed. Since the wind from WRF model are available on a 1-h basis, we interpolated the wind vectors into the precise SAR acquisition time using the natural neighbor method. According to Figure 3c, roughly speaking, both in wind direction and magnitude, the vectors derived from SAR are in good agreement with the outputs by the WRF model.
An ERS-2 SAR imaged on 4 May 2006, at 02:27 UTC, covering the Yangtze and adjacent area was shown in Figure 3d. Wind vectors with a resolution of 5 km were superimposed on the SAR image. According to the wind shadowing visible in SAR image, the 180 degree wind direction ambiguities were removed. The wind direction in Figure 3d was closely analogous to that on the coarse grid of the WRF model (the upper part of Figure 3c). While close to the coastal area of Yangtze Estuary, the wind direction was slightly changed westward, however, it was not effectively simulated by the WRF model. In the upper part of Figure 3c, wind speed derived from SAR image was very close to the outputs from the WRF model.
Figure 4a and b showed the scatterplots of QuikSCAT products vs. SAR results. From these robust results, we could find that both QuikSCAT and SAR images are valid data sources to obtain sea surface wind fields. QuikSCAT is still best suitable for open ocean measurements due to its larger coverage, although it can only yield wind fields with resolution up to 12.5 km. However, wind fields can remarkably change over a few km, even over a smaller scale in the coastal areas. SAR images with high resolution (up to 1 m) are capable of producing sub-km resolution wind vectors. Therefore, an improved global wind product can be obtained by combining QuikSCAT wind products in open ocean areas with SAR-derived wind fields in coastal areas.
Scatterplots of wind results from QuikSCAT vs. SAR and WRF vs. SAR.
The wind scatterplots of WRF vs. SAR were plotted in Figure 4c and d. The results suggested that wind fields computed by WRF and extracted by SAR do not correspond as closely as those between SAR and QuikSCAT. Furthermore, when CMOD4 adopted to extract wind speeds from SAR images, it would lead to underestimation in high wind speeds larger than 20 m/s and overestimation in small speeds lower than 3 m/s (Figure 4d).
From Table 1 and Figure 3c, we could find that wind directions retrieved from SAR images are in good agreement with the observed data at the Tanhu and Dajishan. Specifically, the discrepancies are less than 5°. These promising results may be explained as follows. The algorithm for wind direction extraction based on 2D FFT was improved by finding average position of the first three maximum spectral value instead of applying the position of single spectrum peak. This process was helpful to enhance the stability of the wind direction information extraction. In addition, wind direction from SAR image based on 2D FFT method is dependent on the orientation of typical km-scale surface features. When atmospheric conditions are relatively steady or sea surface wind speed is very small, precise wind directions would become difficult to derive. The wind speed of the example SAR image is large, about 8–10 m/s. Therefore, it can be deduced that wind direction can be precisely extracted by 2D FFT method from SAR images when wind speed is larger than about 7–8 m/s. On the other hand, large wind direction discrepancies between SAR-retrieved and in situ observations are probably due to non-wind-driven features imaged in SAR scene at the same scale as wind-driven. These features are not related with the ocean surface wind direction, e.g., ocean waves.
Along the coast of Yangtze Estuary, the SAR-retrieved wind vector results presented larger variability in direction and much better detail information in structure than the WRF outputs (Figure 3d). This is dependent on the high spatial resolution of SAR snapshot imaging a highly turbulent wind field, while relatively low resolution of the WRF numerical model cannot capture such small-scale signals. Moreover, there are several factors may result in the spatial inhomogeneity in the wind field. In the Yangtze Estuary, the variable topography is one of the factor. The improved SAR wind retrieval method in this study indeed resolve spatial inhomogeneity of the variable sea surface wind vector.
A linear regression of sea surface wind direction retrieved from SAR images and QuikSCAT wind direction presented a bias of −2.18° and root mean square error of 19.3°. These results are better than those between SAR measurements and WRF outputs, whose values are 2.73° and 34.20°, respectively. The ECS is located in a subtropical monsoon climate area. SAR images can effectively capture the homogeneous distribution of wind. Therefore, the 2D FFT method in the spectral domain is well suitable for extracting wind direction in the ECS. The correlation coefficient R2 in the case-by-case comparisons of SAR-retrieved wind direction with QuikSCAT and WRF results are 0.95 and 0.82, respectively. The high R2 values indicated the improved 2D FFT method used to deduce wind direction is reliable. The wind speed linear regression analysis between SAR images and QuikSCAT has a bias of 0.16 m/s and root mean square error of 1.04 m/s. These results are slightly better than those for the linear analysis of wind speeds from SAR and WRF model, whose values are 0.27 m/s and 1.60 m/s, respectively. The comparisons of SAR wind speeds with QuikSCAT products showed high R2 value of 0.92, which approaches to the R2 = 0.93 manifested by Monaldo et al. [26].
Therefore, for C-band SAR images with VV polarization, the algorithm based on 2D FFT extracting sea surface wind direction and the CMOD4 model computing wind speed are prominent and promising to obtain sea surface wind field. Especially in the coastal areas, the large spatial coverage and multi-resolution (especially high resolution) of SAR scene, with its all day, all weather capability, makes it indispensable in the observation of detailed sea surface kinetic parameters and features.
Figures 5 and 6 showed
The Doppler centroid grid of ASAR WSM scene on 31 January 2005. (a)
The Doppler centroid grid of ASAR WSM scene on 5 February 2005. (a)
Acquisition time of ASAR scene | RMS of Doppler anomaly/Hz | |||
---|---|---|---|---|
raw | After azimuthal correction | After bias correction | After outliers removal | |
31 January 2005 | 24.5 | 19.0 | 10.8 | 6.2 |
05 February 2005 | 21.4 | 16.1 | 9.3 | 6.1 |
Doppler centroid anomaly bias over land of the scenes.
Surface range Doppler velocities from WSM images (a) on 31 January 2005 and (b) on 5 February 2005. The color scale is given in unit of m/s.
In Figure 7a of surface Doppler velocities from ASAR WSM scene on 31 January 2005, there is a distinct directional change located at about 31.5°N. In the Hangzhou Bay area, a southeasterly current is encountered. At the time of image acquisition, the wind streak was clearly visible on the SAR scene and exhibited a qualitative correlation with the SAR backscatter signal. 2D FFT and CMOD4 model were adopted to extract the wind direction and wind speed information, respectively. Results showed that the northwesterly wind increased from 8 to 11 m/s with the distance from the shoreline. At the Tanhushan meteorological station, it is particularly the case at low tide, so the tidal current should be relatively low. However, the range Doppler velocity here is relatively large in Figure 7a. This was probably related to the underwater topography and the combination action of the ocean wind, wave and current.
In Figure 7b of the range Doppler velocity on 5 February 2005, the Doppler currents located from 122.5°E to west range from −1.2 to −0.2 m/s. This corresponds with a westerly/southwesterly sea surface current. In the area located from 122.5°E to east, the range Doppler currents are mostly positive, corresponding an easterly/northeasterly surface current. Negative strong Doppler velocity occur in the Hangzhou Bay areas. At the scene acquisition time, wind directions retrieved by 2D FFT method are from the northeast, i.e. towards the radar sensor. Wind speeds calculated by CMOD4 model are between 9 and 11 m/s. At the Tanhushan station, Doppler velocity is −0.25 m/s at 40 minutes after high tide. At the remaining four tidal stations, the Doppler velocities were very variable even if they all located at about 2–3 h after high tide. Therefore, we could deduce that any Doppler velocity map such as Figure 6a and b represent the wind, wave and current patterns in a rather complicated way. Local variables in the wind, wave field and underwater topography would exacerbate the interpretation of geophysical Doppler velocity.
The estimated Doppler velocity fields in the above two images showed that the strongest Doppler velocities appeared in the Hangzhou Bay area, where the velocities are up to 0.8–1.0 m/s. These high current values are mainly influenced by the interaction of wind, wave and tide. As the two cases at spring tide, the retrieved Doppler velocities represent the relatively intense currents. The ability of SAR image to extract strong surface currents based on the Doppler frequency method was also shown in the Agulhas Return Current area [14]. However, large Doppler velocities are usually related to strong NRCS gradients in the SAR signal. Accordingly, the strong NRCS would lead to the overestimation of Doppler velocity. Therefore, the error correction of Doppler shift in azimuth direction must be sufficient, if not, it will make a negatively effect on Doppler velocity estimation. In addition, more attention and analysis should be taken in the region near the land-sea boundaries.
The SAR imaging geometry with regard to the sea surface current field derived from Doppler method is highly significant to the Doppler velocity quality. In the Yangtze Estuary, the flow is along a southeast/northwest axis. Since the ENVISAT ASAR is right-looking imaging radar, the descending track configuration is well suitable for capturing spatial variations of current field. Moreover, the descending track SAR image the Yangtze Estuary mouth at the high radar incidence angle (Figure 7a), which is helpful to reduce the retrieval error from the effect of incidence angle.
For the Doppler centroid anomaly method, in order to examine and assess its capability for retrieving surface current from SAR images, we compared the Doppler current, both from SAR ascending and descending pass, with FVCOM outputs. In general, both in magnitude and directions, they exhibited the similar surface current field features (Figure 8a and b). For quantitative comparison, we extracted two transects from ASAR results and FVCOM surface flow maps (Figure 8a and b), one at about 30.5°N latitude on ASAR descending pass, the other at about 30.7°N latitude on ASAR ascending image.
ASAR Doppler velocity (a) on 31 January 2005 and (b) on 5 February 2005. Superimposed were the FVCOM surface currents as arrows. The color scale is given in unit of m/s. Transects of ASAR Doppler and FVCOM velocities (c) on 31 January 2005 and (d) on 5 February 2005.
In both transects, surface current directions derived from ASAR images and simulated by FVCOM are in good agreement (Figure 8c and d). As a whole, the comparison of velocity is also robust provided the different speed is within +/−0.2 m/s. For the surface current velocities retrieved from the ASAR, the maximum values in both cases are up to1.0 m/s, whereas the maximal velocity simulated by FVCOM is only 0.6 m/s on 5 February 2005 and 0.8 m/s on 31 January 2005. The maximum discrepancy is 0.35 m/s located at about 121.2° E on 5 February 2005, and 0.42 m/s at 122.7°E on 31 January 2005. The corresponding incidence angle is 24.0° and 27.5°, respectively, which are both below 30°. We further computed the average velocity difference below and above 30° radar incidence angle, between Doppler velocities and FVCOM outputs. The results showed that above 30° radar incidence angle, the difference was only 0.09 m/s on 31 January 2005 and 0.10 m/s on 5 February 2005, i.e., the difference could be ignored if taking the retrieval error into the consideration. Whereas, the difference increased to 0.24 m/s on 31 January 2005 and 0.18 m/s on 5 February 2005 below 30° radar incidence angle. These results were well matched with the previous studies [11, 12, 27] and further corroborated and revealed a considerable increase in the ASAR Doppler velocity error below 30° radar incidence angle.
The dominant current direction of FVCOM result on 31 January 2005 is southerly-southwesterly (Figure 8a) from 122.2°E to east. The ASAR-retrieved current only capture the surface current velocity in the range direction, i.e. westerly-northwesterly or easterly-southeasterly. Therefore, the Doppler range Doppler velocities are rather weak, below +/− 0.15 m/s in the area from 31.0°N to north. On the contrary, the current direction simulated by FVCOM on 5 February 2005 (Figure 8b), principally presented motions easterly and northeasterly from 122.5°E to east. This direction corresponds well with the slant range direction of ASAR, i.e. the line of sight direction, at least at south of about 31.5°N. Therefore, the retrieval of surface range Doppler current on 5 February 2005 is more accurate and yields a better measurement of the real local sea surface current.
Although the range Doppler velocity results involve spatial change, an obvious correlation exhibits between FVCOM outputs and ASAR Doppler velocities in Yangtze Estuary. The correlation coefficient is 0.56 for the 31 January 2005 case and 0.59 for the 5 February case. In consistence with the previous studies [12, 14, 18], the accuracy of range Doppler velocity fields are affected by the radar parameters, including radar wavelength, polarization, incidence angle and antenna information. Nevertheless, the surface current retrieval based on the Doppler frequency anomaly method is undoubtedly helpful to obtain mesoscale ocean dynamics and definitely reveal sea surface features combined with local environmental changes.
The geophysical Doppler anomaly can be obtained from the ASAR WSM scenes using Doppler centroid grid, due to the precise attitude of the ASAR platform [11]. Yet, biases negatively affect the Doppler centroid frequency, subsequently affect the retrieval accuracy of the range Doppler velocity. Therefore, for the extraction of accurate range Doppler surface velocity estimation, in turn, the more real surface current, error corrections and bias removal are extremely required.
The comparison and validation of ASAR-retrieved Doppler current against the flow simulated by FVCOM showed promising results in both direction and magnitude. Therefore, the Doppler frequency method is capable of extracting innovative measurement of surface current at Yangtze Estuary. These range Doppler velocities from ASAR scenes based on Doppler frequency method are valuable because they can capture and render the multi-scale ocean dynamics around the East China Sea. In addition, the SAR Doppler velocities possess the capability to yield sufficiently and precisely spatial information for validation of high resolution ocean and coastal simulation models in the near future. Further processing and analyzing SAR scenes, together with in situ measurement at the Yangtze Estuary, will undoubtedly promote and implement routine observation of multi-scale sea surface dynamic.
Musculoskeletal disorders (MSDs) represent one of the most common and most costly occupational health problems globally [1]. Developing countries are disproportionately affected where working conditions could be poor due to acute lack of awareness on ergonomic issues, education and training [2]. MSDs have also been associated with high levels of health-related presenteeism, absenteeism and sick leave among teachers [3]. MSDs are conditions that affect the body’s muscles, joints, tendons, ligaments, nerves, bones and their local blood supply. Most work-related MSDs develop over time and caused by either work itself or the worker’s working environment [4].
School teachers, in general, have been shown to report a high prevalence of MSDs relative to other occupational groups [5], with prevalence rates of between 40% and 95% according to a systematic review conducted in 2011 [1]. These high prevalence rates among teachers are associated with individual, work-related and psychosocial factors. Some studies have investigated the relationship between MSDs in teachers and their working conditions. The work tasks of teachers involve a wide variety of duties and responsibilities that may involve prolonged sitting and standing, use of inappropriate furniture, awkward postures likely adopted when writing on the board, helping students with their work or when helping students during extracurricular sporting activities. Furthermore, teachers might adopt awkward postures when reading, marking students’ work or preparing lessons. The constant loading of the muscles in the neck, shoulders and the back eventually leads to aches, pains or discomfort [5, 6]. In some instances these activities may be carried out under unfavorable working conditions. Psychosocial risk factors such as poor mental health, low supervisor or colleague support, low job satisfaction, high job stress and high psychological job demands have also been associated with development of MSDs [1]. Preventive programmes are required for management of these disorders and this should ideally be at organizational level rather than individual level [7].
Historically, evaluation of MSDs has involved use of many different methods ranging from broad approaches to specific techniques. Widely accepted approaches for determining the prevalence of MSD and favoured by researchers include self-developed questionnaires [8, 9, 10] and the Standardized Nordic Questionnaire [11, 12, 13, 14]. Self-developed questionnaires can be structured, semi-structured or unstructured [8] and employ open vs. closed, single vs. multiple responses, ranking, and rating [15, 16]. The Standardized Nordic questionnaire was developed by a Swiss company for analysis of musculoskeletal symptoms. It has both the General the Specific Questionnaire. The General Questionnaire is a graphic in which the human body is split into nine anatomical regions, whereas the Specific Questionnaire focuses on anatomical locations where musculoskeletal problems are more common [9]. The fundamental benefit of using these questionnaires is that they examine the severity of symptoms, their impact on work and leisure activities, the overall duration of symptoms, and sick leave.
Other MSDs evaluation methods include pilot study surveys and questionnaires like the pilot tested surveys, [17, 18, 19], questionnaires such as the Northwick Neck Pain Questionnaire [20], Health Questionnaires [21], Job Content questionnaires [22] and the Subjective Health Complaints Questionnaire [6]. While questionnaires are a cost-effective and manageable method to collect data, they can create recall bias and make follow-up difficult, particularly when anonymous reporting is used [1]. Disregard of physical examination and assessment pervades diagnosis of MSD even though they could likely produce more accurate results. These methods are considered expensive and time consuming and therefore rarely used [1].
The majority of the research used self-reported questionnaires to assess MSDs. Self-reporting has limitations such as participants not being honest, introspective inability, wrong interpretation of questions, recall [23] and sampling bias. The participant recall bias could lead to under or overestimation of MSDs [24]. Additionally, self-reporting could lead to respondents reporting all pain as MSDs [25]. It is also not possible to establish any causal-effect associations through self-reporting [26]. The presence of MSDs is only dependent on the participants\' self-reports and not on an objectively validated diagnosis.
Following the systematic review on MSDs among school teachers that was done in 2011 by Erick and Smith [1], substantive research has been carried out on the subject. Globally studies have been conducted among nursery to secondary school teachers on MSDs generally and/or on specific body sites such as neck and/or shoulder, back, upper and/or lower limbs. Recently it was estimated that approximately 1.71 billion people globally have musculoskeletal conditions [27]. A previous systematic review of MSDs among school teachers which was based on papers published between 1981 and 2011 revealed that these conditions affect between 39% and 95% of teachers [1]. The prevalence rates of MSDs among school teachers reported on studies carried out after this review range between 21.1% and 96%.
A substantive amount of research on MSDs among teachers has been conducted in the past ten years in Asia. The prevalence rates of general MSDs in the region range between 21.1% and 93.7% with high prevalence rates of 90.7–93.7% reported among school teachers in China [28]. Similarly, 87.3% and 80.1% of secondary school teachers in Saudi Arabia [23] and primary school teachers in Malaysia, respectively [29] reported ever experiencing MSDs. Furthermore, in a study carried out in Pakistan [30] and another study from Saudi Arabia [31], 82.7% and 79.2% female school teachers reported MSDs, respectively. Prevalence rates of MSDs ranging between 60.3% and 74.5% were reported among school teachers in other Asian countries [8, 32, 33, 34, 35]. Low prevalence rates of MSDs have been reported among primary teachers in another study conducted in Malaysia (40.1%) [36] and male secondary teachers in Saudi Arabia [21].
Relatively few studies have been carried out to investigate the prevalence of MSDs among teachers South America. In Chile, the 12-months prevalence of MSDs among school teachers was 88.9% [26] while in Bolivia it was 86% [37]. A 7-days MSDs prevalence of 63% was reported among Bolivian school teachers [37]. In a study of chronic musculoskeletal pain among Brazilian teachers in Londrina, 43% reported experiencing chronic pain in the past 12 months [38].
A high prevalence rate of MSDs was reported among Egyptian nursery school teachers (96%) [39]. In Botswana, a 12-months prevalence of MSDs among primary and secondary school teachers was 83.3% [40]. The prevalence rates of MSDs among teachers in two studies carried out in Ogun State [10] and Enugu State, Nigeria [41] were 70.47% and 70.2% [41], respectively.
As reflected above, MSDs appear to be highly prevalent in the teaching profession with the high prevalence reported among nursery schools. MSDs studies carried out in Europe were specific to different body sites.
Although most of the studies investigated ‘neck pain’ and ‘shoulder pain’ separately, some combined these and reported on them as neck and/or shoulder pain (NSP). In a study conducted in Durban, South Africa a 12-months prevalence of NSP among primary school teachers was 80.4% [42], In Chile, 68.6% of school teachers reported NSP in the last 12 months [26]. Similarly, in two separate studies conducted in Malaysia, 60.1% of secondary [43] and 56.5% of primary [29] school teachers reported NSP. Parallels could be drawn to a study conducted in Ethiopia where 57.3% of teachers reported NSP [13]. In a study conducted in China, almost half (48.7%) of school teachers reported experiencing NSP in the previous 12 months [44]. These studies show that MSDs of the neck/shoulder are highly prevalent.
Even when neck pain is reported separately, there is still evidence that it is a prevalent MSD among school teachers with studies from different countries reporting prevalence rates above 50% with high levels reported in Turin, Italy at 75.6% [45]; followed by Nigeria at 57% [41, 46], Botswana at 50.2% [40] and Bolivia at 47% [37]. Other countries however reported low prevalence rates of neck pain among teachers. Low prevalence of neck pain have been reported among Saudi female teachers (11.3%) [47] and Nigerian teachers (3.2%) [10].
High prevalence rates of shoulder pain were reported by teachers in China (73.4%) [44]. Parallels could be drawn to the results of a study that was conducted in Nigeria where 62.3% of teachers reported shoulder pain. Most of the studies reported prevalence rates ranging between 41% and 57.5% [12, 21, 23, 30, 32, 33, 34, 46, 48, 49]. However, low prevalence rates were reported in studies conducted among female teachers in Malaysia (22.2%) [36] and Saudi Arabia (20.6%) [47] and primary school teachers in Egypt (15%) [50] and Ogun State, Nigeria (11.7%) [10]. Lessons could be learnt from these places on factors associated with these low rates of shoulder pain.
When compared to other MSDs, upper extremities appear to be less prevalent. A study that was conducted in Brazil reported that 14% of teachers experienced upper limb pain [38]. Wrist/hand pain was reported by 26% teachers in Chuquisaca, Bolivia [37], 23.4% in Turkey [51] and 16.2% secondary female teachers in Saudi Arabia over 6 months [31] and 7.4% in another study conducted among female teachers in Saudi Arabia over 3 months [47]. Elbow pain on the other hand was reported by between 5.6% and 16% of teachers in studies carried out in Italy [45], Turkey [51], and Malaysia [36]. Although prevalence rates for MSDs of the upper extremities were generally low across most countries, there were a few countries where prevalence rates could go above 40% as was the case among primary school teachers in Kota Kinabalu, Malaysia who reported hand/fingers pain in the last 6 months [29].
In this section, the prevalence of back pain among school teachers is discussed. Limited studies reported general back pain whilst majority separated low back pain and upper back pain. The prevalence of general back pain was reported in studies conducted in Qassim, Saudi Arabia (74.4%) [11], Minas Gerais, Brazil (58%) [52], Turkey (42.7%) [34] and Iran (39%) [12].
When compared to other MSDs among school teachers, low back pain (LBP) appears to have been the most studied. High prevalence rates of low back pain have been reported in studies conducted in Spain [53], Jordan [54] and Ekpoma State, Nigeria [46] where 96.5%, 92.3% and 85% school teachers reported low back pain respectively. Almost three-quarters of teachers in Turkey (74.9%) [34], Northern Ethiopia (74.8%) [55], Putrajaya Malaysia (72.9%) [9] and Italy (70.6%) [45] reported experiencing LBP in the past 12 months. Most of the studies reported prevalence rates between 35.3% and 68% [14, 23, 24, 31, 32, 42, 47, 56, 57]. However, some studies reported low prevalence rates. One quarter of female teachers in Terengganu, Malaysia [36] and school teachers in Kanpur, India [58] reported LBP in the previous 12 months. In Abha City, Saudi Arabia [21] and Ogun State, Nigeria [10], one fifth of teachers reported LBP while in Brazil 13% of them also reported LBP [38]. LBP is common among teachers regardless of the geographical location. This is a concern as LBP is a leading cause of disability in both developing and developed countries [44].
Upper back pain does not appear to have been studied as much as LBP. Although 84% of preschool teachers in Turin, Italy reported experiencing upper back pain [45] it appears this pain is not as prevalent as LBP. This is evidenced by prevalence rates reported in studies carried out in Enugu State in Nigeria [41], Peshawar, Pakistan [30] and Thailand [33] where 47.4%, 43.3% and 36.1% of school teachers reported upper back pain, respectively. In Terngganu, Malaysia, one quarter of female primary school teachers reported upper back pain experienced in the previous 12 months [36]. Lower prevalence rates were reported among female Saudi teacher (17.7%) [47] and teachers in Ogun State in Nigeria (1.1%) [10].
Several studies have investigated MSD in the lower extremities such as the knees, leg, hips, ankles and feet. In a study conducted in Kota Kinabalu, Malaysia, almost half of the primary school teachers reported lower extremities pain in a period of 6 month [29]. However, a lower prevalence of 13% was reported in a study of Brazilian teachers [38]. The prevalence rates of knee pain among different school levels ranged between 26.3% and 49%. About 49% of nursery school teachers in Ekpoma State in Nigeria reported knee pain [46] while it was reported by 41% of secondary school teachers in Hail, Saudi Arabia [23]. Parallels could be drawn to the results of studies conducted in Enugu State of Nigeria [41] and Turin, Italy [45] where 39.3% and 38.7% of teachers and nursery school teachers reported knee pain respectively. One third of teachers in Turkey [34] and Terengganu, Malaysia [36] reported knee pain in the last 12 months while in Saudi Arabia one quarter reported the same condition in the past 3 months [47].
The prevalence rates of leg pain among teachers ranged between 38.7% and 65.2%. The highest prevalence rate was reported by school teachers in Ogun State in Nigeria [10] while the lowest was reported by preschool teachers in Turin, Italy [45]. Hip pain was reported by between 15.4% and 45.3% of teachers in Enugu State in Nigeria [41], nursery schools in Ekpoma State in Nigeria [46], female teachers in Saudi Arabia [47] and teachers in Turkey [34]. Some studies combined hip and thigh pain and was reported by 49.6% preschool teachers in Italy [45] and 18.4% of teachers in Terenggamu, Malaysia [36] in the past 12 months.
The prevalence of ankle pain was relatively common among teachers ranging between 12.3% and 48.4%. Female teachers in Pakistan reported the highest prevalence rate of this pain (48.4%) [30]. Although nursery school teachers have been thought to be at increased risk of ankle pain due to activities which require sustained periods of kneeling, stooping, squatting or bending [59], only 31% of nursery school teachers in Ekpoma State, Nigeria reported ankle pain [46]. Some studies studied ankle and feet pain combined and the highest prevalence (85.5%) was reported in a study conducted among school teachers in Abha City, Saudi Arabia [60]. However, relatively low prevalence was reported in studies carried out in Terenggamu, Malaysia [36] and preschool teachers in Italy [45] where this pain was reported by 32.5% and 16.8% of the study population, respectively.
MSDs have been previously reported to be more prevalent among nursery school teachers because of the kind of work they do. This chapter confirms the previous findings because when compared to other school teachers, high numbers of nursery teachers reported general MSDs, upper back pain, neck and/or shoulder, knee and elbow pain. This has been attributed to that nursery school teachers perform a wide variety of tasks and combine basic health childcare and teaching duties, and those that require sustained mechanical load and constant trunk flexion [59, 61]. Furthermore, nursery school teachers have been found to have elevated prevalence of MSDs due to activities which require sustained periods of kneeling, stooping, squatting or bending [59]. The high prevalence of MSDs of different body sites among teachers is a concern as this population consists of high numbers of members of the society. Teachers ill-health does not only affect them but high likely to affect learners. Therefore, it is crucial to establish work-related factors that affect this population to put in place control measures that will reduce prevalence and progression of these conditions. The following section discusses work-related factors associated with teachers reporting MSDs.
A large proportion of MSDs have been associated with adverse work conditions. Increased risk of these disorders have been reported in occupations with repetitive work tasks, awkward postures and heavy lifting as well as psychologically demand work environments. The section will discuss work-related factors associated with MSDs among school teachers.
In a study carried out in both rural and urban areas of Bolivia, teachers working in rural areas were more than two to almost four times more likely to report any work limiting musculoskeletal pain during the last 12-months and for work limiting pain in at least three parts of the body than teachers in urban areas. The study also found that work limiting pain in ankles was higher in rural than urban school teachers [37]. These findings have been attributed to that apart from the teaching responsibilities, teachers in rural areas work closely with the rural communities which could be both physically and psychologically demanding. For this reasons, there is often concentration of professionals in urban areas as opposed to rural areas which in turn impacts on the quality of education and increased inequalities between the two areas [37].
Carrying heavy loads have also been associated with MSDs among school teachers. Brazilian teachers in Londriana region who reported carrying didactic materials were almost two times more likely to report upper limbs pain than those who did not report carrying heavy materials [38]. Lifting loads with hands was also associated with LBP among secondary school teachers in Putrajaya, Malaysia. Teachers who reported lifting loads with hands were at increased risk of developing LBP than those who did not report so [9]. Carrying weight has also been significantly associated with MSDs among secondary school teachers in Fiji [62].
Prolonged computer use has previously been associated with MSDs of different body sites among school teachers. Brazilian teachers in Minas Gerais region who reported using computer or tablet within 5 h and for 6 or more hours during the COVID -19 pandemic were 1.12 times and 1.27 times more likely to report back pain compared to those who did not report computer or tablet use [52]. Primary school teachers in Samsun Turkey who reported daily computer use were at increased risk of neck pain when compared to those who did not indicate daily computer use [34]. Prolonged computer use leads to prolonged sitting. Activities of prolonged sitting and computer use are unsafe acts favorable for the development of neck/shoulder pain, back pain and upper limb pain among teachers [44]. This may also be attributed to a sustained forward head posture and/or constant neck flexion which cause static overload of neck and shoulders muscles. When combined with repetitive movements associated with a mouse, touchpad or keyboard can increase the likelihood of shoulder and/or neck pain [48].
Awkward postures have been found to contribute to reporting of MSDs. This is evidenced by the results of a study among primary school teachers in Cairo, Egypt where awkward posture was associated with MSDs [50]. Furthermore, teachers who reported awkward arm position at work in a study conducted in Botswana were 1.4 times more likely to report LBP than those who did not report awkward arm position [63]. In another study conducted in Botswana, teachers who had reported awkward arm position when working were at risk of shoulder pain, upper back pain and wrists/hands pain [40]. Teachers in Gondar town of Ethiopia who had reported static head down posture and elevated arm over shoulder were 2.26 times and 2.71 more likely to report shoulder/neck pain than those who did not report the awkward postures [13]. Similarly, Chinese teachers who reported prolonged static posture were more likely to develop NSP and LBP than those who did not report static posture. Teachers who reported that they acquired posture characterized by twisting were also at increased risk of LBP than those who did not report so [44]. Bending has been significantly associated with MSDs among secondary school teachers in Fiji [62].
Stretching to write on the board placed school teachers in Thailand at increased risk of repetitive strain injuries [33]. Writing on the board has also been strongly associated with MSDs of different anatomical areas such as upper limbs pain, LBP and lower limbs pain among Brazilian teachers in Londrina region [38]. Forward-bending and backward bending of the head for a prolonged time when writing on the board has been significantly associated with NSP among primary school teachers in South Africa [42]. Shoulder pain may occur as a result of working with raised arms unsupported for a considerable time, a characteristic synonymous with teachers’ work as they write on the board. Awkward postures caused by sustained muscle stretching particularly overhead are likely to induce neck and/or upper limbs pain in teachers. Awkward postures affect MSDs of different body areas. This is so because the broad activities which teachers participate in such as reading, marking, lesson preparation lead to prolonged sitting periods, bending to assist students at student level, writing on and reading from the board put strain on different body areas.
Prolonged sitting and standing have been associated with MSDs of different body area. A study of Chinese teachers in Guang dong Province, found that those who reported prolonged sitting were at risk of reporting NSP and LBP than those who did not report prolonged sitting. NSP was also experienced by those teachers who reported prolonged standing than those who did not [44]. Prolonged standing has also been associated with LBP among Egyptian teachers [55] and general MSDs among male secondary school teachers in Saudi Arabia [32]. Prolonged sitting has also been significantly associated with NSP among Gondar teachers in Ethiopia [13], with LBP among secondary school teachers in Putrajaya, Malaysia [9] and among primary school teachers in Durban, South Africa [42] and foot pain among Saudi teachers in Abha Sector [60]. Prolonged standing and sitting were also significantly associated with MSDs among female school teachers in Pakistan [30] and secondary school teachers in Fiji [62]. Standing and sitting for a long period, working in a head down posture for long periods, bending/twisting upper body have been significantly associated with MSDs among preparatory government school teachers in Cairo, Egypt. The study further found that prolonged working in the same posture, helping students into flexing posture and repeating the same movement of arms or hands many times per minute were also significantly associated with MSDs [39].
Previous research indicates that inappropriate furniture contributes to development of MSDs. A significant association has been found between MSDs and school furniture among school teachers in two separate studies carried out in Egypt [39, 50]. Uncomfortable work chair/table was significantly associated with MSDs among female school teachers in Pakistan [30]. In China, school teachers who reported uncomfortable back support were about two times more likely to report NSP and LBP compared to those who did not report so [44]. Women teachers, nurses and sonographers in Sweden who reported that they were dissatisfied with computer workstation arrangements were 1.2 times more likely to report neck pain and shoulder pain respectively than those who reported that they were satisfied [64].
Similarly, school teachers in Enugu State of Nigeria who reported using teaching board with height of 180–190 cm and more than 190 cm were 3.5 times and 4.6 times more likely to report neck pain, respectively than those who used teaching board that was less than 180 cm. Furthermore, those who reported using a teaching board with height of 180–190 were also at increased risk of pain in one or both elbows [41]. These heights may lead to adoption of prolonged neck extension positions when writing on or reading from the board and ultimately contribute to neck pain.
Although it is assumed that physically school teachers’ work is varied and relatively light [64], research on this study population has demonstrated that they are exposed to high workloads. Rapid physical activity has been significantly associated with shoulder pain, wrists/hands pain and hips/thighs pain among school teachers in Botswana [40]. Similarly, primary school teachers in Samsun, Turkey who reported physical activity were two times at risk of neck pain when compared to those who did not report physical activity [34]. Walking up and down stairs was associated with LBP among secondary school teachers in Putrajaya, Malaysia [9].
High workload has been significantly associate with MSDs among preparatory teachers in Egypt [39]. Addis Ababa teachers who reported high work load were four times increased risk of reporting LBP than those who were not [14]. This is consistent with results of primary school teachers in Egypt where job demand was significantly associated with MSDs [50]. Physical workload has also been associated with feet pain among women teachers, nurses and sonographers in Sweden [64]. In Londrina, Brazil, high number of students in a classroom were associated with upper limbs pain [38].
The association between high job demand and MSDs might be due to the nature of teachers’ work which by its nature is physically demanding. When the physical work load is reduced, the impact of job demand and onset of MSDs is reduced [65]. Apart from teaching students, teachers are also involved in lesson preparation, assessments of students’ work and being involved in the extracurricular activities such as sports. Teachers also participate in different school committees. These may cause teachers to suffer adverse mental and physical health issues due to the variety of job functions [1].
School teachers are considered to experience high level of psychological stress [64]. High psychological job demands have been associated with LBP [63], upper back pain and shoulder pain among school teachers in Botswana [40]. Similar results have been reported among secondary school teachers in Malaysia where those who reported high psychological job demands were at increased risk of developing LBP compared to those who reported low psychological job demands [43]. Psychological job demands have been associated with neck, shoulder, hands, lower back and feet pain among women teachers, nurses and sonographers in Sweden [64]. It has been suggested that the more psychological demands needed for a particular task, the greater the possibility to develop any kind of MSDs regardless of the body area [66].
The study of teachers working in governmental primary schools in Addis Ababa, Ethiopia found that those who reported a poor or fair work social environment were at increased risk of LBP than those who had good work environment [14]. Similarly teachers in another study conducted in Gondar town in Ethiopia, who reported to have stress were more likely to report LBP than those who did not report stress [57]. Mild to moderate and severe to extremely severe stress have been associated with experiencing LBP and NSP among secondary school teachers in Malaysia [43].
High anxiety and very low colleague support have been associated with MSDs among preparatory teachers in Egypt [39]. Parallels could be drawn to results of Malaysia secondary school teachers who were found to be at increased risk of LBP and NSP due to mild to moderate and severe to extremely severe anxiety [43].
Teachers in Tehran, Iran who reported low job satisfaction were more likely to develop low back when compared to those who reported high job satisfaction [56].
Low skill discretion and low supervisor support have been significantly associated with reporting low back and neck and/or shoulder pain among Malay teachers, respectively [43].
Some factors have shown a protective effect against MSDs among school teachers. These include factors such as workplace support, regular physical exercise and perceived better health.
A protective effect was demonstrated for Botswana teachers who reported high supervisor support. These teachers were less likely to report neck, upper back pain and hip/thigh pain as compared to those who reported low supervisor support [40]. High supervisor support was also a protective factor against LBP among Kenyan teachers [24]. Ethiopian teachers in Amhara region who reported satisfaction with work environment and culture were showed decreased odds for reporting LBP and those who had an office were also less likely to report LBP [57].
Nursery and primary school teachers who reported that there were three of them per class were less likely to report upper back, low back pain and pain on one or both ankles or feet [41].
In a study carried out among women teachers, nurses and sonographers, those who reported high job control were less likely to report shoulder, hands, lower back and feet pain. The study further demonstrated that those in leadership were less likely to report neck, shoulder and lower back pain [64].
Physical exercise of more than 5 h per week was associated with reduced odds of reporting upper back pain [40] and LBP [63] among school teachers in Botswana. This was in comparison to teachers who reported five or less hours of weekly exercise. Similarly, teachers in Amhara region in Ethiopia who exercised were less likely to report LBP compared to those who did not exercise [57]. Chinese school teachers who reported exercising for seven or more hours per week were less likely to experience NSP compared to who exercise for less than 7 h per week [44]. Parallels could also be drawn to the results of a study conducted among Ethiopian teachers where those who exercised reported decreased odd of NSP compared to those who did not exercise [13]. Physical exercise was also associated with decreased odds of reporting neck pain among Iranian teachers [67], and upper back pain and LBP among school teachers in Enugu State, Nigeria [41]. Exercise habits also had a protective effect against neck and upper extremity pain among teachers in Turkey [51]. Saudi teachers who reported that they were involved in sports were less likely to report foot pain [60].
As reflected above, MSDs are common among teachers with different contributing factors. This means that management of these need to evaluate risk factors for MSDs carefully before coming up with interventions to address them. The interventions for disorders need to be contextualized for them to be effective and to take into consideration, the risk factors for these conditions and how they interact with each other. MSDs disproportionately affect females compared to their male counterparts among school teachers in Saudi Arabia [23]. Aging and improper postures have also contributed to experience of MSDs among teachers in Punjab [68].
Preventive programmes are required for management of these disorders and this should ideally be at organizational level rather than individual level [7] and also use health promotion approaches to them prevent repetitive strain injury (RSI) [33]. Previous research speak to prevention measures to reduce back pain [24]. In a study conducted among Chinese teachers, there was a statistically significant improvement in attitudes, awareness, symptoms on neck and back pain after 6 and 12 months post intervention. Researchers had administered a multi-faceted workplace intervention comprising of health education through lectures, workplace ergonomic training and public awareness materials using posters and brochures and assessed pre and post intervention effects of the workplace programme [28]. Similar findings were reported among nursery school teachers who underwent an Extension oriented exercise programme to prevent LBP in nursery school teachers. The programme was found to alleviate LBP among teachers who received brochure and exercise programme done by a physiotherapist compared to those who received only the brochure [33]. Preventive interventions focusing on posture have also been shown to work including reducing amount of time on awkward postures such as knee bending among pre-school teachers in Germany [69].
Individual coping strategies are an important consideration for managing MSDs among teachers. This is because teachers may engage or prefer certain self-help therapies which may not necessarily be effective in prevention and management of MSDs as reported in one study where teachers used thermal spring therapy and/or painkillers to cope with their MSD pain [70]. Coping mechanism used by people suffering from MSDs can be influenced by gender and social class. This has been shown in one study where men in lower social class were found to prefer avoidant coping mechanisms compared to female counterparts while females in low social class used less problem solving methods to cope with MSDs [71]. Maintaining regular physical activity both at work and at home has demonstrated benefits for physical education teachers in terms of experiencing MSDs and their overall health and wellbeing especially their cardiovascular health [72] indicating a need to approach management of MSDs using a comprehensive risk based approach.
The importance of a comprehensive multi-faceted programme to tackle MSDs is underlined by findings from a systematic review which demonstrated that massage therapy alone, a common mode of treatment for MSDs had limited benefits among patients with neck and back pain and no statistically significant benefits when compared to other treatments [73]. Additionally, patients diagnosed with MSDs commonly have other medical conditions including mental health and gastrointestinal conditions with those patients more likely to report a severe form of MSDs [74]. These patients may benefit from a holistic approach to the MSDs. A model of managing MSDs therefore requires further exploration and consideration. This is the bio-psychosocial (BPS) model of pain management.
The model consists of three factors operating in the patient’s life which are the environment, biological and cognitive factors [75]. The model posts that biomedical approaches alone have not been effective in managing pain especially MSDs and therefore a more holistic approach consisting of managing the patient biological factors, their environment and the way they think about pain, cognitive factors is key.
The model brings together an appreciation of how the risk factors already alluded to can all be incorporated effectively in a workplace programme for prevention and management of MSDs. The risk factors can seem to be too many and overwhelming to tackle for both patient and healthcare providers. However by designing a programme consisting of biological risk factors relating to the person and disease itself, cognitive factors and the environment in which illness occurs. The BPS model emphasizes the importance of making health within the patients’ context taking into consideration the patients’ sociocultural beliefs about illness, worries and concerns they may have about the meaning of the illness for their job and them as a person and possible coping mechanism that they have which may enhance or detract from effective interventions. Likely benefits of the bio-psychosocial model are echoed by Waddell who estimates that incapacity and sickness absence from these disorders could be reduced by up to 50% [76] and expounds on the key components of the BPS model of disability.
An important question to consider is why the public, the employers and employees must be concerned about effective prevention and management of MSDs in general and more importantly among teachers. There are bound to be costs encountered by the employee, the employer and the public because of the employees’ inability to perform their duties effectively. The costs can be both tangible and intangible, direct and indirect. Assessing the impact of MSDs must therefore take a 360° view of who is affected and how are they affected. The impact can be felt at individual level and societal level.
MSDs present with symptoms of pain, fatigue and functional limitations [71]. They have also been shown to adversely affect the physical and emotional components of quality of life and a likely cause of future ill health and disability [26]. Work performance is another impact of MSDs shown to affect academic teachers due to lack of adequate mental and physical rest from work even while at home [77]. A study among teachers in Botswana also noted that the effect of MSDs included functional limitations and at times career change with important implications for limited resources [40]. Increased sick leave among female teachers as well as rising levels of depression were found to be associated with having MSDs in Turkey [70]. It is clear that with symptoms experienced from these disorders, individual teachers are likely to experience functional limitations at home and at work.
Treatment of MSDs in general has been shown to provide economic benefits in terms of keeping people employed and earning an income in addition to reducing sickness absence from work. A study done among adults with MSDs in the UK, where 54% were employed, it showed that an average of 3.8 days were lost due to work absenteeism. The study further found that reduced functional limitations led to a reduction in the patients’ ability to remain in employment, higher chances of claiming disability benefits and sickness absence [78], which all add to the economic costs of MSDs. Patients experiencing MSDs in another UK study reported that their MSDs contributed significantly to their inability to work (74%) with a quarter reporting inability to find a suitable job because of the MSDs, low job satisfaction (68%) and half experiencing limited career choices and similar proportion experiencing reduced household income [74]. These were however not all teachers but it is likely that even teachers would experience similar challenges given the physical and psychological demands of their role as teachers and the nature of MSDs. These economic cost of MSDs has long been established. Canada reported an estimated economic cost due to MSDs as early as two decades ago at 26 billion Canadian dollars with the bulk of the costs being due to healthcare resource utilization and disease sequelae [79].
The impact of MSDs among teachers on other aspects of the society are not well studied. For example, the impact on the pass rates of their students, career choices of their students and psychological wellbeing of the students. It is expected that students will experience some anxiety related to sickness absence of their teacher or having a temporary teacher to replace their substantive teacher. It is also possible that the temporary teacher may not have the same qualifications and experience as the substantive teacher, they may also not have the organizational context or institutional memory which would help them to navigate the school environment and the so called difficult students effectively. This is an important area of future research.
Although self-administered questionnaires have recall biasness, introspective inability and may be subject to wrong interpretation of questions, they have been commonly used to investigate MSDs. This chapter demonstrated that MSDs are common among teachers despite of their geographical location. Additionally, MSDs are a cause of pain and suffering for teachers globally. Some countries have higher than average prevalence rates for all MSDs. Physical and psychosocial risk factors have been associated with MSDs of different body regions. Factors such as high supervisor support, high job control and regular physical exercise have been shown to have a protective effect against MSDs. Due to the effects of MSDs on individual life, work attendance and productivity it is important to manage these. Because MSDs tend to affect more than one body site and are mediated by multiple factors, a workplace approach to managing these should be holistic and as comprehensive as reasonably practicable. Future research using longitudinal study designs should be conducted to establish the casual effect of work-related and psychosocial factors in development of MSDs. Research is also needed to identify innovations that can reduce the prevalence of these disorders.
The authors declare no conflict of interest.
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In this work, a methodology is proposed for the evaluation of the abrasive wear of the plates of the centrifugal pump impellers, used in the gross water infrastructure station (GWIS) of sedimentary rivers, due to the sediment load variation and the river fluviometric dimension. In order to determine the wear mode and the relationship of the material-specific wear coefficient (K), due to the sediment concentration, a rotating ball abrasometer test was performed on SAE 8620, gray cast iron (GCI), and nodular cast iron (NCI), used in the manufacture of impellers. As an abrasive suspension, the concentrations of 1, 2, 3, 5, and 10 g L−1 of sediment were used in distilled water. The wear volume as a function of the relative velocity of the mixture in relation to the impeller blades was estimated mathematically. 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Though the measurement techniques are fundamentally the same as those used in other applications, the unique features associated with turbomachines place challenges in implementing these techniques. This chapter covers the fundamental working principles of individual measurement technique as well as the highlights of its application in turbomachines.",book:{id:"7766",slug:"rotating-machinery",title:"Rotating Machinery",fullTitle:"Rotating Machinery"},signatures:"Fangyuan Lou",authors:[{id:"275580",title:"Dr.",name:"Fangyuan",middleName:null,surname:"Lou",slug:"fangyuan-lou",fullName:"Fangyuan Lou"}]}],mostDownloadedChaptersLast30Days:[{id:"65843",title:"Straight-Bladed Vertical Axis Wind Turbines: History, Performance, and Applications",slug:"straight-bladed-vertical-axis-wind-turbines-history-performance-and-applications",totalDownloads:2743,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"Wind turbine is a kind of rotating machinery. 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Finally, the types of traditional and new SB-VAWT and their characteristics and main utilizations will be introduced.",book:{id:"7766",slug:"rotating-machinery",title:"Rotating Machinery",fullTitle:"Rotating Machinery"},signatures:"Yan Li",authors:[{id:"277795",title:"Prof.",name:"Yan",middleName:null,surname:"Li",slug:"yan-li",fullName:"Yan Li"}]},{id:"67029",title:"Methodology for Abrasive Wear Evaluation in Elevator Stage Centrifugal Pump Impellers",slug:"methodology-for-abrasive-wear-evaluation-in-elevator-stage-centrifugal-pump-impellers",totalDownloads:752,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"The abrasion resistance of the impellers depends on the characteristics of the materials used in their manufacture. 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In the presented topology, the grid-side converter is replaced by a boost Current Source Inverter (CSI) therefore removing the need for the dc-bus electrolytic capacitors which results in increasing the system lifetime. In the developed topology, the synchronous inductance of the generator is utilized. This facilitates the elimination of the intrinsically required dc-link inductor in the CSI which further contributes to a reduction in the overall system weight and size. The boost CSI is capable of converting a low dc voltage to a higher line-to-line voltage. This results in the implementation of a low-voltage generator for DDWTs. The feasibility of the presented low-voltage generator is investigated through Finite Element (FE) computations. In this chapter, a modified 1.5 MW low-voltage generator for the proposed topology is compared with an existing 1.5 MW Permanent Magnet (PM) synchronous generator for DDWTs. The feasibility of the presented topology of generator-converter for DDWTs is verified through simulations and laboratory tests. Furthermore, the controls developed for the developed wind turbine topology is also presented in this chapter.",book:{id:"7766",slug:"rotating-machinery",title:"Rotating Machinery",fullTitle:"Rotating Machinery"},signatures:"Akanksha Singh",authors:[{id:"276799",title:"Dr.",name:"Akanksha",middleName:null,surname:"Singh",slug:"akanksha-singh",fullName:"Akanksha Singh"}]},{id:"66758",title:"Advance Measurement Techniques in Turbomachines",slug:"advance-measurement-techniques-in-turbomachines",totalDownloads:686,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter focuses on advanced measurement techniques that have been used in applications of turbomachines including temperature measurements, pressure measurements, velocity measurements, and strain/stress measurements. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. 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