You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

Influence of brick laying height on biomechanical load in masons: Cross-sectional field study with technical measurements

Abstract

BACKGROUND:

Work-related musculoskeletal disorders (WMSDs) located in the low back and neck/shoulder regions are major concerns for both workers, workplaces, and society. Masons are prone to WMSD, because their work is characterized by repetitive work and high physical workload. However, the knowledge on the physical workload during bricklaying is primarily based on subjective measurements.

OBJECTIVE:

This cross-sectional field study with technical measurements aimed to quantify physical workload in terms of muscular activity and degree of forward bending during bricklaying at different working heights among masons, i.e., knee, hip, shoulder, and above shoulder height.

METHODS:

Twelve male (36.1±16.1 years) experienced masons participated in a cross-sectional field study with technical measurements. Surface electromyography from erector spinae longissimus and upper trapezius muscles and an inertial measurement unit-sensor placed on the upper back were used to assess the physical workload (level of muscle activation and degree of forward bending) different bricklaying heights. Manual video analysis was used to determine duration of work tasks, frequency, type, and working height. The working heights were categorized as ‘knee’, ‘hip’, ‘shoulder’, and ‘above shoulder’. The 95 percentiles of the normalized Root Mean Square (RMSn) values were extracted assess from erector spinae and trapezius recordings to assess strenuous level muscle of muscle activation.

RESULTS:

The RMSn of dominant erector spinae muscle increased from hip- to shoulder height (from 26.6 to 29.6, P <  0.0001), but not from hip to above shoulder height and decreased from hip to knee height (from 26.6 to 18.9, P <  0.0001). For the dominant trapezius muscle, the RMSn increased from hip- to shoulder- and above shoulder height (from 13.9 to 19.7 and 24.0, respectively, P <  0.0001) but decreased from hip- to knee height (from 13.9 to 11.5, P <  0.0001). Compared to hip height (27.9°), an increased forward bending was detected during bricklaying at knee height (34.5°, P <  0.0001) and a decreased degree of forward bending at shoulder- and above shoulder height (17.6° and 12.5°, P <  0.0001, respectively).

CONCLUSION:

Based on technical measurements, bricklaying at hip height showed the best compromise between muscular load and degree of forward bending. This study contributes to the development of the work environment for masons and can help guide preventive initiatives to reduce physical workload.

1Introduction

Work-related musculoskeletal disorders (WMSDs), including low back pain and neck/shoulder pain, are a major concern for both workers, workplaces, and society [1–6]. WMSDs can reduce work ability and increase the risk of sickness absence and disability pension [7, 8]. Construction workers, including masons, are at high risk of WMSDs [9–14], particularly in the low back and shoulders [5, 9]. With more than 20,000 masons in Denmark [15], WMSDs are a significant problem that is influenced by individual factors as well as psychosocial and physical factors in the work environment [16]. Among all the risk factors, physical workload is a significant contributor to the risk of developing WMSDs [17, 18]. Masonry is characterised by repetitive movements, awkward postures, and heavy lifting [19, 20]. These physical work demands increase physical exertion and the risk of WMSDs, along with individual and psychosocial work factors [21–24]. The scientific literature indicates that repetitive work involving upper extremities increases the risk of pain in the arm and hand, carpal tunnel syndrome and tennis elbow [4, 25–28]. Particularly, the repetitive movements involving high force have been demonstrated to elevate the risk of pain [29]. A recent Danish cohort study involving 20,000 employees with a 2-year follow-up period revealed that neck-shoulder pain is increased among groups of workers where repetitive arm work is the predominant form of exposure [21].

A comprehensive study of the general working population in Denmark showed that painters, bricklayers, and plumbers report the highest overall physical work demands of all job groups [30]. In terms of specific postures, 82% of the masons reported working with twisted back more than 1/4 of their working time, and 60% working with arms at or above shoulder height [31]. However, these findings were based on self-reports in questionnaire surveys, which are prone to self-report bias [32, 33]. Therefore, to obtain a more detailed and accurate estimate of physical exposures in this type of work, technical measurements of exposure during real-world conditions are recommended [34]. The scientific literature regarding the physical work demands during masonry has shown that bricklaying is a physically demanding job [9, 35–41]. Although some previous studies have documented the physical demands of bricklaying, including muscle activity and posture, reported at various working heights [36, 38, 39], these studies employed substantial and heavy blocks that are incongruent with the lighter bricks commonly utilized in shell masonry.

1.1Potential ergonomics risk assessments in construction

Valid and reliable measurement methods are essential for research of physical workload in the construction industry. Various technical measurement approaches exist, e.g. kinematics measured with inertial measurement units (IMUs), surface electromyography (sEMG), video recordings, and pressure-measurement insoles [42]. Kinematics involves studying body postures, often assessed using cost-effective IMUs [43]. Inertial measurement units have been used to e.g. detect body positions among construction workers [10, 44–46]. In contrast, sEMG offers insight into a worker’s level of muscular load, revealing the level of myoelectrical activity in skeletal muscles [47, 48]. sEMG has been used to evaluate the effects of lifting weights on the level of muscular load and the development of muscle fatigue during a simulated repetitive lifting task in a laboratory environment. and showed an increased level of muscular activation and muscle fatigue in e.g. the lumbar erector spinae muscle by increasing the lifting weights [49]. Furthermore, sEMG has been used to detect the level of muscle activity in field studies in among construction workers e.g. [44, 45, 48], to measure fatigue development e.g. [50] and to classify activity type e.g. [45, 51].

IMU-sensors have been used to detect body posture in the construction industry e.g. [45, 52] and onset/offset of activity e.g. [53, 54]. Furthermore, IMUs have been used for developing a real-time motion warning equipment for WMSDs prevention [55]. IMUs and sEMG have also been used in a combination to obtain a more thorough biomechanical evaluation at work e.g. [45, 52]. Besides sEMG and IMUs, wearable insole systems have been used to detect awkward working postures in construction workers [49, 56, 57].

This study aimed to quantify physical workload in terms of level of muscular activation and degree of forward bending of the trunk during work at different working heights among masons, i.e., knee, hip, shoulder, and above shoulder height. All measurements were performed at the respective work sites during their usual daily work. The study uses previously unpublished data collected in relation to a previously published cluster randomised controlled trial across workplaces in Denmark [45, 58]. Consequently, field measurements of physical workload among masons performing bricklaying were collected while the working height was systematically controlled and monitored by video recording. Simultaneous recording of the level of muscular activationof shoulder and back muscles as well as degree of forward bending were obtained.

2Methods

2.1Study design

This cross-sectional study with objective field measurements employs data from a two-armed, parallel group, single-blinded, cluster randomized controlled trial with allocation concealment performed at construction sites across Denmark from May 2016 to June 2017 [45, 58]. The present study re-analyses these data including only masons doing bricklaying.

2.2Ethical considerations

According to the Helsinki declaration, participants received written and oral information about the purpose and content of the study before signing the informed consent form. The study was approved by the local ethical committee of Frederiksberg and Copenhagen (H-3-2010-062) and registered by the Danish Data Protection Agency (Datatilsynet; journal number 2015-57-0074). All data were processed and analysed anonymously.

2.3Participants

Of the 80 full working days (∼7 h) of construction work in total, six working days were excluded due to poor data quality. During the remaining 74 working days, 12 experienced masons with bricklaying as their profession performed bricklaying and were thus included in the data analysis. In addition to the technical measurements, described below, the participants answered questionnaires on the days of the technical measurements.

2.4Data collection

All measurements were performed at the respective work sites during their usual daily work. The technical measurement protocol in this study was based on previous studies [45, 58] and consisted of recordings of working situations using level of muscular activation from the erector spinae and upper trapezius muscles, kinematic information of body segments using IMU, and by a body worn video camera.

2.4.1Surface electromyography (sEMG)

Surface electromyography electrodes (Blue Sensor N-00-S/25, Ambu A/S, Ballerup, Denmark) were placed bilaterally with a 2 cm inter-electrode distance over the m. erector spinae longissimus and the upper trapezius muscles (Fig. 1) according to the Surface Electromyography for the Non-Invasive Assessment of Muscles (SENIAM) recommendations [59]. The level of muscular activation of the erector spinae longissimus and upper trapezius muscles were recorded, as these body regions (lower back and neck/shoulders) are commonly prone to WMSD [60]. For the upper trapezius muscles, the electrodes were positioned at the approx. 20% lateral to the midpoint along the line connecting the acromion to vertebral spine C7. Regarding the erector spinae muscles, the electrodes were placed to the side of the L1 spinous process, at a distance approximately equivalent to the width of two fingers (about 2.5 cm) [45, 61]. The reference electrode was placed over the C7 vertebra. The skin of the participants was prepared to reduce skin impedance before placing the sEMG electrodes. To achieve this, the skin was shaved, cleaned using scrubbing gel (Acqua gel, Meditec, Parma, Italy), and then sanitized with surgical alcohol. The sEMG was sampled and digital transformed using a 24-bit portable data-logger (Nexus10, Mind Media, Herten, Netherlands) and sampled at 1024 Hz. The sEMG signals were digitally filtered using a bandpass (10 –400 Hz) 4th order Butterworth filter and subsequently smoothed after computing root mean square (RMS) values over 500 ms epochs [62]. The sEMG signals were visually inspected for potential artifacts.

Fig.1

Placement of the surface electromyography (sEMG) electrodes over the dominant and non-dominant upper trapezius and erector spinae muscle and inertial measurement unit (IMU)-sensor. Of note the electrodes above the IMU served as reference electrode.

Placement of the surface electromyography (sEMG) electrodes over the dominant and non-dominant upper trapezius and erector spinae muscle and inertial measurement unit (IMU)-sensor. Of note the electrodes above the IMU served as reference electrode.

2.4.2Maximal voluntary isometric contractions (MVIC)

Each participant performed three maximal voluntary isometric contractions (MVIC) with one to two minutes of rest between trials to prevent fatigue. A custom-built dynamometer with a strain gauge load cell was used to measure MVIC (KIS-2, 2 KN, Vishay Transducers Systems, Malvern, PA, USA). For the low back muscles, a strap was placed around the upper back of the participants at the level of insertion of the deltoid muscle and connected to a strain-gauge dynamometer [63]. For the neck-shoulder muscles, the straps were placed around the participant’s wrists to a custom-built wooden plate with two strain gauge dynamometers. Participants were instructed to exert maximal force by building up force over a few seconds and exert maximally for another few seconds, while the test leader provided verbal encouragement. The maximum level of muscular activation of the erector spinae and trapezius muscle were extracted by computing the RMS valued over 500 ms epochs with 20% overlap between successive epochs. The maximum values were then used to normalize the level of muscular activation (% MVIC).

2.4.3Posture

Portable IMUs (ActiGraph GTX9-Link, ActiGraph, Pensacola, USA) were used to measure work posture. In this study, IMUs were used to detect the degree of forward bending. One IMU was placed on the upper back at T1-T2 level [61, 64]. The IMU were calibrated by having the subject standing with arms held neutrally besides the body for 15 seconds (Neutral pose) [65].

2.4.4Video recordings

Participants wore a wearable video camera to allow video recordings of their work tasks (Reveal Media, RS2-X2 L, Hampton Wick, Surrey, UK) synchronized to the sEMG and IMU measurements, which enabled to link the sEMG activity and IMU measurements with the working tasks performed during the workday. Therefore, the video recordings were only used during the technical analysis to detect the type, onset and offset of the identified working tasks

2.5Technical analysis

All work tasks that included bricklaying were identified and time-stamped during the full working days for all masons using a custom-made MATLAB-programme by manually looking through all the video recordings. The start and stop for each work task were manually marked, and the frequency of the task, type of task, working height were identified. Working height was assessed as ‘floor height’, ‘floor to knee height’, ‘knee height’, ‘knee to hip height’, ‘hip height’, ‘hip to shoulder height’, ‘shoulder height’, and ‘above shoulder height’. For subsequent analyses, the brick-laying heights were divided into ’knee height’, ’hip height’, ’shoulder height’, and ’above shoulder height’. After identifying all work tasks, the trials were double-checked to secure correct identification and edit the potential incorrect identifications.

2.6Data analysis

Forward bending of the back and muscle activity of the bricklaying tasks were analysed using MATLAB (version 2018a, The MathWorks). For each identified task the accelerometer data was low-pass filtered (6th Butterworth) with a cut-off frequency of 5 Hz and the extent of forward bending/inclination of the back relative to neutral position was calculated [66]. The sEMG signals were visually inspected for potential artifacts, and any data with poor signal quality was subsequently removed from the dataset. The highest levels of muscular activation in the erector spinae and trapezius muscles were determined by calculating the RMS over a moving 500 ms interval. These maximum values were subsequently utilized to normalize the muscular activation levels (% MVIC). Erector spinae and trapezius muscle activity of each identified task was assessed by calculating the 95th percentiles of the normalized RMS values, which represent the data points below which 95% of the normalized RMS values fell in the entire dataset.

2.7Statistics

A linear mixed model with repeated measures (SAS, Proc Mixed) [67] was used to determine the influence of lifting height on muscular workload. Normalized RMS (erector spinae and trapezius) and posture (degrees forward bending) were dependent variables. Brick laying height (knee, hip, shoulder, and above shoulder height) was used as the categorical independent variable. Individual was included as a random factor. Results are reported as least square means and 95% CI. When a significant main effect occurred, P-values were given for each respective work tasks in relation to brick laying at hip height (i.e., most ‘neutral’ working position) in pairwise comparisons. An alpha level of P <  0.05 was used as a statistically significant difference.

2.7.1Statistical power

Previous laboratory studies using EMG measurements demonstrated clear differences in muscular work load between different types of physical loads with 15–20 participants [68, 69]. In this project, field measurements were made during the working day, where there was expected a higher between-task variation [46]. Conversely, because the individual mason repeated every bricklaying work task several times during the working day, a more consistent estimate of exposure within-tasks was expected (i.e., more reliable measurement for each individual). Based on previous daily measurements with sEMG in workers with manual lifting work [46], it was estimated that at least 10 workers performing the respective work tasks were needed to have sufficient statistical power to show a difference in physical work load between different work tasks.

3Results

Table 1 shows the characteristics of the participants. Twelve male masons with a mean age of 36 (±16.1) years participated in the study. For descriptive purposes, data on pain, physical tiredness, perceived exertion, number of steps, and heart rate are presented in Table 1.

Table 1

Characteristics of the participating masons

MeanStd Dev
Number of participants12 (all males)
Age (years)36.116.1
Height (cm)178.15.0
Body mass (kg)78.212.7
BMI24.63.5
Systolic Blood Pressure (mmHg)136.113.7
Diastolic Blood Pressure (mmHg)83.38.2
Morning pain in the back (NRS)0.51.0
Afternoon pain in the back (NRS)1.41.9
Morning pain in the shoulders (NRS)0.72.0
Afternoon pain in the shoulders (NRS)1.32.3
Morning physical tiredness in general (NRS)1.11.3
Afternoon physical tiredness in general (NRS)2.61.5
Perceived loading during working day (Borg)3.81.9
Number of steps during working day4859.71232.0
Mean heart rate during working day (bpm)92.08.6
Maximum muscle strength in the back (N)755.6159.6
Maximum muscle strength in the shoulders (N)137.434.2

Std Dev = Standard Deviation, mmHg = millimetre of mercury, NRS = Numeric Rating Scale, bpm = beats per minute, N = Newton.

3.1Surface electromyography data

Table 2 presents 95th percentiles of normalized RMS sEMG in the erector spinae and trapezius muscles of the dominant and non-dominant sides during masonry at knee, hip, shoulder, and above shoulder height and forward bending angle. The muscular activity for the dominant erector spinae muscle increased significantly from hip height to shoulder height (from 26.6% (15.6–7.7%) to 29.6% (18.6–40.6%), P <  0.0001), but not from hip height to above shoulder height. From hip height to knee height the muscular activity decreased (from 26.6% (15.6–7.7%) to 18.9% (7.9–29.9%), P <  .0001). For the non-dominant erector spinae the muscular activity increased from hip height to shoulder height (from 24.6% (16.4–32.7%) to 30.8% (22.6–38.9%) (P <  .0001), but not from hip height to knee- or above shoulder height.

Table 2

95th percentiles of the normalized root mean square values of the surface electromyographic recordings from the erector spinae and trapezius muscles of the dominant and non-dominant sides during masonry at knee, hip, shoulder, and above shoulder height and forward bending angle

Erector spinaeTrapezius
HeightDominant P Non dominant P Dominant P Non dominant P Forward bending P
(upper back)
Knee height18.9 (7.9–29.9)<  .000124.2 (16.0–32.4)0.7711.5 (7.4–15.5)<  .000112.4 (7.7–17.2)0.0003wor--1-wor230325-g002.jpg<  .0001
34.5° (40.3–28.3)
Hip height26.6 (15.6–7.7)Ref24.6 (16.4–32.7)Ref13.9 (9.8–17.9)Ref15.9 (11.1–20.6)Refwor--1-wor230325-g003.jpgRef
27.9° (33.6–33.1)
Shoulder height29.6 (18.6–40.6)0.000230.8 (22.6–38.9)<  .000119.7 (15.6–23.8)<  .000125.0 (20.3–29.8)<  .0001wor--1-wor230325-g004.jpg<  .0001
17.6° (23.3–11.9)
Above shoulder height26.4 (15.3–37.4)0.7525.4 (17.2–33.5)0.4924.0 (19.9–28.0)<  .000131.4 (26.6–36.1)<  .0001wor--1-wor230325-g005.jpg<  .0001
12.5° (18.2–6.7)

 * P-values reflect the difference from hip height (reference/most neutral position).

For the dominant trapezius muscle, the muscular activity increased significantly from hip height to shoulder height (from 13.9% (9.8–17.9%) to 19.7% (15.6–23.8%) (P <  .0001) and from hip height to above shoulder (13.9% (9.8–17.9%) to 24.0% (19.9–28.0%) (P <  .0001) height but decreased significantly from hip height to knee height (from 13.9% (9.8–17.9%) to 11.5% (7.4–15.5%) (P <  .0001). The same pattern was seen in the non-dominant side.

3.2Inertial measurement units data

Furthermore table 2 shows an increased forward bending compared to hip height (27.9° (33.6–33.1)) during bricklaying at knee height 34.5° (40.3–28.3°) (P <  .0001) and an decreased degree of forward bending at shoulder height 17.6° (23.3–11.9°) (P <  .0001) and above shoulder height 12.5° (18.2–6.7°) (P <  .0001).

4Discussion

This study used wearable electromyography and inertial movement sensors during field measurements to assess the impact of degree of forward bending on physical workload of the low-back and neck-shoulder muscles among masons performing bricklaying work. The main findings were that bricklaying at and above shoulder height in general showed the highest level of muscular activation, while the back was least bent during these work tasks.

4.1Construction work and biomechanical load

Bricklaying at knee height showed the highest degree of forward bending, while bricklaying at hip height showed the best compromise between muscular load and degree of forward bending, at least according to the results from the present study. These findings have the potential to inform preventive measures aimed at reducing physical workload during bricklaying. The present study showed an even distribution on the physical workload between the dominant and non-dominant side (Table 2) as well as an increased physical workload on the neck/shoulder muscles when the bricklayers performed their work above shoulder height. Previous research manifested similar findings during a simulated drilling task [70] and among a convenience sample of supermarket workers [71, 72]. Occupational lifting with arms above shoulder height resulted in higher muscular workload based on sEMG measurements and higher compression forces in the shoulder joints based on a musculoskeletal modelling approach [71, 72]. The above mentioned findings elaborate on previous studies showing that elevated arm work increases the biomechanical load of the shoulder muscles and restricts the blood supply to shoulder and arm tissues [73]. Working with arms above shoulder level increases the risk of excessive fatigue, musculoskeletal pain, and long-term sickness absence [22, 44, 74].

4.2Technical measurements in construction work

The present study uses technical field measurements that have been used in previous research in the construction industry [54, 75, 76] to assess physical workload during bricklaying. Previously, researchers have studied physical workload in terms of; workload, posture, heart rate, and oxygen uptake during bricklaying [35, 36, 40, 41]. Van der Molen and co-workers studied the physical work demands and experienced local discomfort of the low back and shoulders in a controlled field study where they investigated the effects of adjusting working height of bricks and mortar. They demonstrated a reduction in the frequency and duration of trunk flexion >  60° when introducing a scaffolding console that increased the height of the bricks and mortar with 31 cm [40]. Vink & Koningsveld found that the heightened the placement of bricks and mortar appeared to lower the energy consumption, especially when bricks were placed in higher rows in the wall [41]. Because these studies did not include technical measurements of the physical load in terms of posture and muscle activity, the present study makes a genuine contribution to the field by providing objective knowledge about the physical workload during bricklaying. Anton and co-workers showed an increasing muscle activity in the shoulder muscles when bricklaying heights were increased [35, 36]. Even though, these studies used concrete blocks, the result are in line with the present study. Based on the collective results from the present and previous studies, masons should endeavour not to lay bricks at low heights and increase the height of the placement of bricks and mortar to decrease the load on the low back. The present study provides evidence of a “safety margin” [77] for bricklayer workers that can contribute to decrease their physical exposure and improve their working conditions.

In Denmark, the Work Environment Authority recommends bricklayers to avoid bricklaying above shoulder level [78], although this regulation is not based on technical measurements. Importantly, the present study using technical field measurements support previous results based on self-reports [9]. Thus, the present study validates existing recommendations. Furthermore, Gupta and co-workers found an exposure-response association between working with elevated arms above shoulder level (measured with accelerometers) and long-term sickness absence based on high-quality national registers in a prospective cohort study [33].

4.3Study implications and contributions

When evaluating the practical implications of the study results, both muscular load and posture should be taken into account. Masons should avoid bricklaying above shoulder height when possible. However, situations may occur where bricklaying above shoulder level is unavoidable, e.g., during floor separations. Likewise, working at knee height resulted in a more flexed trunk posture, which is a known physical risk factors for the development of WMSDs in the low back region [79, 80]. In these cases, workplaces should prioritize the use and development of technical devices that can reduce the physical workload to minimize the risk for developing future WMSDs. Rotating between workers may also be an option to avoid that the same workers are always exposed to the most difficult working situations [81].

4.4Strengths and limitations

The strength of the present study is that it comprised data from technical measurements obtained from masons performing their specific work in field conditions [82] resulting in a high external validity. Due to the high number of repeated measurements in each worker –i.e., laying several bricks during the workday –muscular workloads and working postures were measured with high precision. The repeated measures also increased the statistical power enabling to detect relatively small differences in normalized sEMG between conditions. However, the study also has some limitations. The study only included relatively young males, and the results may, therefore, not be generalized to female or older workers due to the fact that there are differences in anthropometry, biology, and lifting strategies between gender [83, 84]. However, there were no gender-specific inclusion- or exclusion criteria and the recruited participants reflect the fact there are very few female bricklayers in Denmark. Another limitation is that only level of muscular activation data from the lower-back and neck/shoulder muscles was collected even though masons primarily report musculoskeletal complaints in these two regions. Thus, the level of muscular activation did not enable to assess changes in muscle coordination of the lower-back and neck/shoulder region A third limitation is that the present study did not explore the level of muscular activation patterns over time during the working day. While this would require new analyses, the present dataset holds the potential to explore such patterns. Wearable insoles is another possibility to detect load lifted or detecting the working situations in construction [49, 56, 57], and including these measurements could potentially have added information about the load of the brick and mortar.

5Conclusion

This study cross-sectional field study quantified physical workload in terms of muscular activity and degree of forward bending during masonry work at different working heights, i.e., knee, hip, shoulder, and above shoulder height. Technical measurements in terms of sEMG, IMUs, and video recording were used to document the physical workload at and above shoulder height showing that the highest level of muscular activation in the non-dominant trapezius 25.0% (20.3–29.8%) and 31.4% (26.6–36.1%), respectively), while this working position constituted the most upright standing position (i.e., least forward bending). Bricklaying at knee height showed the highest degree of forward bending (34.5° (40.3–28.3°) compared to hip height (27.9° (33.6–33.1°). Bricklaying at hip height showed the best compromise between level of muscular activation and degree of forward bending. These results can help guide preventive initiatives to reduce physical workload during bricklaying.

Ethical approval

The study was approved by the local ethical committee of Frederiksberg and Copenhagen (H-3-2010-062).

Informed consent

According to the Helsinki declaration, participants received written and oral information about the purpose and content of the study before signing the informed consent form.

Acknowledgments

The authors thank Sandra Schade Jacobsen from the National Research Centre for the Working Environment for technical support when making the figures and tables used in the paper. In addition, we thank Klaus Hansen from the National Research Centre for the Working Environment for a huge effort during the data collection. Thanks to the bricklayers and workplaces that participated in the study.

Author contributions

MB, JZNA and LLA conceived the study design. LLA and MB obtained the funding. AS, PM, MDJ, and MB were responsible for developing the technical measurement and analysing the signals. MDJ and AS developed the MATLAB script. LLA and MB performed the statistical analyses. MB & RB did the manual marking of the working situations. MB wrote the draft of the manuscript before all authors read, critically reviewed, and approved the final version.

Conflict of interest

The authors declare no conflict of interest.

Funding

This study is funded by the Danish Working Environment Research Fund (Arbejdsmiljøfor-skningsfonden), grant number 20175100177.

References

[1] 

Bevan S . Economic impact of musculoskeletal disorders (MSDs) on work in Europe. Best Pract Res Clin Rheumatol. (2015) ;29: :356–373.

[2] 

Brooks PM . The burden of musculoskeletal disease–a global perspective. Clin Rheumatol. (2006) ;25: :778–781.

[3] 

Dunning KK , Davis KG , Cook C , et al. Costs by industry and diagnosis among musculoskeletal claims in a state workers compensation system: 1999–2004.. Am J Ind Med. (2010) ;53: :276–284.

[4] 

Punnett L , Wegman DH . Work-related musculoskeletal disorders: the epidemiologic evidence and the debate. JElectromyogrKinesiol. (2004) ;14: :13–23.

[5] 

Umer W , Antwi-Afari MF , Li H , et al. The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis. Int Arch Occup Environ Health. (2018) ;91: :125–144.

[6] 

Sygdomsbyrden i Danmark: sygdomme.Version 2.0. 2023.

[7] 

Alavinia S , de Boer AGEM , van Duivenbooden JC , et al. Determinants of work ability and its predictive value for disability. Occup Med (Lond). (2009) ;59: :32–37.

[8] 

Reeuwijk KG , Robroek SJW , Hakkaart L , et al. How work impairments and reduced work ability are associated with health care use in workers with musculoskeletal disorders, cardiovascular disorders or mental disorders. J Occup Rehabil. (2014) ;24: :631–639.

[9] 

Anton D , Bray M , Hess JA , et al. Prevalence of work-related musculoskeletal pain in masonry apprentices. Ergonomics. (2020) ;63: :1194–1202.

[10] 

Lunde L-K , Merkus S , Koch M , et al. Associations of objectively measured total duration and maximum bout length of standing at work with lower-extremity pain intensity: a 2-year follow-up of construction and healthcare workers. BMC Musculoskelet Disord. (2021) ;22: :43.

[11] 

Lewis C , Wahlström J , Mukka S , et al. Surgery for subacromial impingement syndrome and occupational biomechanical risk factors in a 16-year prospective study among male construction workers. Scand J Work Environ Health. (2023) ;49: :156–163.

[12] 

Jackson JA , Liv P , Sayed-Noor AS , et al. Risk factors for surgically treated cervical spondylosis in male construction workers: a 20-year prospective study. Spine J. (2023) ;23: :136–145.

[13] 

Valero E , Sivanathan A , Bosché F , et al. Musculoskeletaldisorders in construction: A review and a novel system for activitytracking with body area network. Appl Ergon. (2016) ;54: :120–130.

[14] 

Hartmann B , Fleischer AG . Physical load exposure at construction sites. Scand J Work Environ Health. (2005) ;31: (Suppl 2), 88–95.

[15] 

Ministry of EmploymentUddannelses- og Forskningsudvalget 2016-17 UFU Alm.del, https://www.ft.dk/samling/20161/almdel/ufu/spm/181/svar/1431436/1799086/index.htm(2017, accessed 3 February 2022).

[16] 

Wilkie R , Pransky G . Improving work participation for adults with musculoskeletal conditions. Best Pract Res Clin Rheumatol. (2012) ;26: :733–742.

[17] 

Bernard B . Musculoskeletal disorders and workplace factors: A critical review of epidemiologic evidence for work-related musculoskeletal disorders of the neck, upper extremity, and low back. US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health.

[18] 

Boschman JS , van der Molen HF , Sluiter JK , et al. Occupational demands and health effects for bricklayers and construction supervisors: A systematic review. Am J Ind Med. (2011) ;54: :55–77.

[19] 

Hess J , Weinstein M , Welch L . Ergonomic best practices in masonry: regional differences, benefits, barriers, and recommendations for dissemination. J Occup Environ Hyg. (2010) ;7: :446–455.

[20] 

The National Research Centre for the Working EnvironmentFakta om Arbejdsmiljø & Helbred 2018. Copenhagen: The National Research Centre for the Working Environment, https://at.dk/media/5995/faktaarbejdsmiljoe-helbred-2018.pdf(2018, accessed 22 June2022).

[21] 

Andersen LL , Vinstrup J , Sundstrup E , et al. Combined ergonomic exposures and development of musculoskeletal pain in the general working population: A prospective cohort study. Scand J Work Environ Health. (2021) ;47: :287–295.

[22] 

Andersen LL , Fallentin N , Thorsen SV , et al. Physical workload and risk of long-term sickness absence in the general working population and among blue-collar workers: prospective cohort study with register follow-up. Occup Environ Med. Epub ahead of print 6 January 2016. DOI:10.1136/oemed-2015-103314.

[23] 

Sterud T . Work-related mechanical risk factors for long-term sick leave: a prospective study of the general working population in Norway. Eur J Public Health. (2014) ;24: :111–116.

[24] 

Sterud T , Johannessen HA , Tynes T . Work-related psychosocial and mechanical risk factors for neck/shoulder pain: a 3-year follow-up study of the general working population in Norway.. Int Arch Occup Environ Health. (2014) ;87: :471–481.

[25] 

da Costa BR , Vieira ER . Risk factors for work-related musculoskeletal disorders: A systematic review of recent longitudinal studies. Am J Ind Med. (2010) ;53: :285–323.

[26] 

van Rijn RM , Huisstede BMA , Koes BW , et al. Associations between work-related factors and the carpal tunnel syndrome–a systematic review. Scand J Work Environ Health. (2009) ;35: :19–36.

[27] 

van Rijn RM , Huisstede BM , Koes BW , et al. Associations between work-related factors and specific disorders of the shoulder–a systematic review of the literature. Scand J Work Environ Health. (2010) ;36: :189–201.

[28] 

Veiersted B , Knardahl S , Wærsted M , et al. Mekaniske eksponeringer i arbeid som årsak til muskel- og skjelettplager –en kunnskapsstatus. Årgang 18, nr. 6 (2017), ISSN nr. 1502-0932, Oslo: Stami, https://stami.no/content/uploads/2018/01/Mekaniske-eksponeringer-i-arbeid-som-årsak-til-muskel-og-skjelettplager.pdf(2018, accessed 18 May 2021).

[29] 

Thomsen JF , Mikkelsen S , Andersen JH , et al. Risk factors for hand-wrist disorders in repetitive work. Occup Environ Med. (2007) ;64: :527–533.

[30] 

Andersen LL , Pedersen J , Sundstrup E , et al. High physical work demands have worse consequences for older workers: prospective study of long-term sickness absence among 69 117 employees. Occup Environ Med. Epub ahead of print 10 May 2021. DOI: 10.1136/oemed-2020-107281.

[31] 

Work Environment Authority. Arbejdsmiljø og helbred 2012-2018, https://at.dk/arbejdsmiljoe-i-tal/arbejdsmiljoeog-helbred-2012-2018/(2022, accessed 19 January 2022).

[32] 

Takala E-P , Pehkonen I , Forsman M , et al. Systematic evaluation of observational methods assessing biomechanical exposures at work. Scand J Work Environ Health. (2010) ;36: :3–24.

[33] 

Gupta N , Rasmussen CL , Forsman M , et al. How does accelerometry-measured arm elevation at work influence prospective risk of long-term sickness absence? Scand J Work Environ Health (2022) ;48: :137–147.

[34] 

Jørgensen MB , Gupta N , Korshøj M , et al. The DPhacto cohort:An overview of technically measured physical activity at work andleisure in blue-collar sectors for practitioners and researchers. Appl Ergon. (2019) ;77: :29–39.

[35] 

Anton D , Mizner RL , Hess JA . The effect of lift teams on kinematics and muscle activity of the upper extremity and trunk in bricklayers. J Orthop Sports Phys Ther. (2013) ;43: :232–241.

[36] 

Anton D , Rosecrance JC , Gerr F , et al. Effect of concrete block weight and wall height on electromyographic activity and heart rate of masons. Ergonomics. (2005) ;48: :1314–1330.

[37] 

Lunde L-K , Koch M , Veiersted KB , et al. Heavy Physical Work: Cardiovascular Load in Male Construction Workers. Int J Environ Res Public Health. (2016) ;13: :356.

[38] 

Luttmann A , Jäger M , Laurig W . Task analysis and electromyography for bricklaying at different wall heights. International Journal of Industrial Ergonomics. (1991) ;8: :247–260.

[39] 

Van Der Molen HF , Kuijer PPFM , Hopmans PPW , et al. Effect of block weight on work demands and physical workload during masonry work. Ergonomics. (2008) ;51: :355–366.

[40] 

van der Molen HF , Grouwstra R , Kuijer PPFM , et al. Efficacy of adjusting working height and mechanizing of transport on physical work demands and local discomfort in construction work. Ergonomics. (2004) ;47: :772–783.

[41] 

Vink P , Koningsveld EAP . Bricklaying: a step by step approach to better work. Ergonomics. (1990) ;33: :349–352.

[42] 

Koch M , Lunde L-K , Ernst M , et al. Validity and reliability of pressure-measurement insoles for vertical ground reaction force assessment in field situations. Appl Ergon. (2016) ;53 Pt A: :44–51.

[43] 

Trask C , Mathiassen SE , Wahlström J , et al. Cost-efficient assessment of biomechanical exposure in occupational groups, exemplified by posture observation and inclinometry. Scand J Work Environ Health. (2014) ;40: :252–265.

[44] 

Merkus SL , Mathiassen SE , Lunde L-K , et al. Can a metric combining arm elevation and trapezius muscle activity predict neck/shoulder pain? A prospective cohort study in construction and healthcare. Int Arch Occup Environ Health. (2021) ;94: :647–658.

[45] 

Brandt M , Madeleine P , Samani A , et al. Effects of a Participatory Ergonomics Intervention With Wearable Technical Measurements of Physical Workload in the Construction Industry: Cluster Randomized Controlled Trial. J Med Internet Res. (2018) ;20: :e10272.

[46] 

Jakobsen MD , Sundstrup E , Persson R , et al. Is Borg’s perceived exertion scale a useful indicator of muscular and cardiovascular load in blue-collar workers with lifting tasks? A cross-sectional workplace study. Eur J Appl Physiol. (2014) ;114: :425–434.

[47] 

Dutta A , Breloff SP , Dai F , et al. Effects of working posture and roof slope on activation of lower limb muscles during shingle installation. Ergonomics. (2020) ;63: :1182–1193.

[48] 

Merkus SL , Lunde L-K , Koch M , et al. Physical capacity, occupational physical demands, and relative physical strain of older employees in construction and healthcare. Int Arch Occup Environ Health. (2019) ;92: :295–307.

[49] 

Antwi-Afari MF , Li H , Edwards DJ , et al. Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers. Automation in Construction. (2017) ;83: :41–47.

[50] 

Bangaru SS , Wang C , Aghazadeh F . Automated and Continuous Fatigue Monitoring in Construction Workers Using Forearm EMG and IMU Wearable Sensors and Recurrent Neural Network. Sensors (Basel). (2022) ;22: :9729.

[51] 

Bangaru SS , Wang C , Aghazadeh F . Data Quality and Reliability Assessment of Wearable EMG and IMU Sensor for Construction Activity Recognition. Sensors (Basel). (2020) ;20: :5264.

[52] 

Lunde L-K , Koch M , Merkus SL , et al. Associations of objectively measured forward bending at work with low-back pain intensity: a 2-year follow-up of construction and healthcare workers. Occup Environ Med. (2019) ;76: :660–667.

[53] 

Mäkela S-M , Lämsä A , Keränen JS , et al. Introducing VTT-ConIot: A Realistic Dataset for Activity Recognition of Construction Workers Using IMU Devices. Sustainability. (2021) ;14: :220.

[54] 

Yang X , Wang F , Li H , et al. A Low-Cost and Smart IMU Tool for Tracking Construction Activities. Banff, AB, Canada. Epub ahead of print 24 May 2019. DOI: 10.22260/ISARC2019/0005.

[55] 

Yan X , Li H , Li AR , et al. Wearable IMU-based real-time motion warning system for construction workers’ musculoskeletal disorders prevention. Automation in Construction. (2017) ;74: :2–11.

[56] 

Antwi-Afari MF , Li H , Umer W , et al. Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System. J Constr Eng Manage. (2020) ;146: :04020077.

[57] 

Koch M , Lunde L-K , Ernst M , et al. Validity and reliability of pressure-measurement insoles for vertical ground reaction force assessment in field situations. Appl Ergon. (2016) ;53: (Pt A), 44–51.

[58] 

Brandt M , Madeleine P , Ajslev JZN , et al. Participatory intervention with objectively measured physical risk factors for musculoskeletal disorders in the construction industry: study protocol for a cluster randomized controlled trial. BMC Musculoskelet Disord. (2015) ;16: :302.

[59] 

Hermens HJ , Freriks B , Disselhorst-Klug C , et al. Development of recommendations for SEMG sensors and sensor placement procedures. J Electromyogr Kinesiol. (2000) ;10: :361–374.

[60] 

Madeleine P . On functional motor adaptations: from the quantification of motor strategies to the prevention of musculoskeletal disorders in the neck-shoulder region. Acta Physiol (Oxf). (2010) ;199: (Suppl 679), 1–46.

[61] 

Brandt M , Madeleine P , Samani A , et al. Accuracy of identification of lowor high risk lifting during standardized lifting situations. Ergonomics. 2017;1-24.

[62] 

Jakobsen MD , Brandt M , Sundstrup E , et al. Reliability of Mechanical Trunk Responses During Known and Unknown Trunk Perturbations. J Appl Biomech. (2016) ;32: :86–92.

[63] 

Jakobsen MD , Sundstrup E , Brandt M , et al. Effect of workplace- versus home-based physical exercise on musculoskeletal pain among healthcare workers: a cluster randomized controlled trial. Scand J Work Environ Health. (2015) ;41: :153–163.

[64] 

Korshøj M , Skotte JH , Christiansen CS , et al. Validity of theActi4 software using ActiGraph GT3X+accelerometer for recording ofarm and upper body inclination in simulated work tasks. Ergonomics. (2014) ;57: :247–253.

[65] 

Skotte J , Korshøj M , Kristiansen J , et al. Detection of physicalactivity types using triaxial accelerometers. J Phys Act Health. (2014) ;11: :76–84.

[66] 

Madgwick SOH , Harrison AJL , Vaidyanathan A . Estimation of IMU and MARG orientation using a gradient descent algorithm. IEEE Int Conf Rehabil Robot. (2011) ;2011: :5975346.

[67] 

SAS/STAT ® 14.1 User’s Guide The MIXED Procedure. https://support.sas.com/documentation/onlinedoc/stat/141/mixed.pdf , https://support.sas.com/documentation/onlinedoc/stat/141/mixed.pdf (2015, accessed 8 January 2024).

[68] 

Andersen LL , Andersen CH , Mortensen OS , et al. Muscle activation and perceived loading during rehabilitation exercises: comparison of dumbbells and elastic resistance. PhysTher. (2010) ;90: :538–549.

[69] 

Samani A , Holtermann A , Søgaard K , et al. Following ergonomicsguidelines decreases physical and cardiovascular workload duringcleaning tasks. Ergonomics. (2012) ;55: :295–307.

[70] 

Maciukiewicz JM , Cudlip AC , Chopp-Hurley JN , et al. Effects of overhead work configuration on muscle activity during a simulated drilling task. Applied Ergonomics. (2016) ;53: (Part A), 10–16.

[71] 

Skals S , Bláfoss R , de Zee M , et al. Effects of load mass andposition on the dynamic loading of the knees, shoulders and lumbarspine during lifting: a musculoskeletal modelling approach. AppliedErgonomics. (2021) ;96: :103491.

[72] 

Skovlund SV , Bláfoss R , Skals S , et al. The Importance ofLifting Height and Load Mass for Muscular Workload duringSupermarket Stocking: Cross-Sectional Field Study. IJERPH. (2022) ;19: :3030.

[73] 

Jensen BR , Pilegaard M , Sjøgaard G . Motor unit recruitment andrate coding in response to fatiguing shoulder abductions andsubsequent recovery. European Journal of Applied Physiology. (2000) ;83: :190–199.

[74] 

Wærsted M , Koch M , Veiersted KB . Work above shoulder level and shoulder complaints: a systematic review. Int Arch Occup Environ Health. (2020) ;93: :925–954.

[75] 

Wang D , Dai F , Ning X , et al. AssessingWork-Related Risk Factors on Low Back Disorders among Roofing Workers. J Constr Eng Manag; 143. Epub ahead of print July 2017. DOI: 10.1061/(ASCE)CO.1943-7862.0001320.

[76] 

Yu Y , Umer W , Yang X , et al. Posture-related data collection methods for construction workers: A review. Automation in Construction. (2021) ;124: :103538.

[77] 

Côté JN . A critical review on physical factors andfunctional characteristics that may explain a sex/gender differencein work-related neck/shoulder disorders. Ergonomics. (2012) ;55: :173–182.

[78] 

Branchefællesskabet for arbejdsmiljø,i Bygge & Anlæ g(BFA). Branchevejledning om opmuringsarbejde, https://bfa-ba.dk/wp-content/uploads/2018/10/Opmuringsarbejderettet-print.pdf(2021, accessed 24 March 2022).

[79] 

Svendsen JH , Svarrer H , Laessoe U , et al. Standardized activities of daily living in presence of sub-acute low-back pain: A pilot study. Journal of Electromyography and Kinesiology. (2013) ;23: :159–165.

[80] 

Balaguier R , Madeleine P , Rose-Dulcina K , et al. Trunk kinematics and low back pain during pruning among vineyard workers-A field study at the Chateau Larose-Trintaudon. PLoS ONE. (2017) ;12: :e0175126.

[81] 

Lerche AF , Mathiassen SE , Rasmussen CL , et al. Development and Implementation of ‘Just Right’ Physical Behavior in Industrial Work Based on the Goldilocks Work Principle-A Feasibility Study. Int J Environ Res Public Health. (2021) ;18: :4707.

[82] 

Madeleine P , Madsen TMT . Changes in the amount and structure of motor variability during a deboning process are associated with work experience and neck-shoulder discomfort. Appl Ergon. (2009) ;40: :887–894.

[83] 

Jakobsen MD , Sundstrup E , Brandt M , et al. Characterization of Occupational Lifting Patterns with Exposure Variation Analysis. Cross-sectional Workplace Study among Blue-Collar Workers. Annals of Work Exposures and Health 2022;wxac021.

[84] 

Snook SH , Ciriello VM . The design of manual handling tasks: revised tables of maximum acceptable weights and forces. Ergonomics. (1991) ;34: :1197–1213.