Literature DB >> 32164619

Neck and upper extremity pain in sonographers - a longitudinal study.

Jenny Gremark Simonsen1, Anna Axmon2, Catarina Nordander2, Inger Arvidsson2.   

Abstract

BACKGROUND: Sonographers have reported a high occurrence of musculoskeletal pain for more than 25 years. Assessments of occupational risk factors have previously been based on cross-sectional surveys. The aim of this longitudinal study was to determine which factors at baseline that were associated with neck/shoulder and elbow/hand pain at follow-up.
METHODS: A questionnaire was answered by 248 female sonographers at baseline and follow-up (85% of the original cohort). 208 were included in the analyses. Physical, visual, and psychosocial work-related conditions were assessed at baseline. Pain in two body regions (neck/shoulders and elbows/hands) was assessed at both baseline and follow up.
RESULTS: Pain at baseline showed the strongest association with pain at follow-up in both body regions [prevalence ratio (PR) 2.04; 95% confidence interval (CI) 1.50-2.76], for neck/shoulders and (PR 3.45; CI 2.29-5.22) for elbows/hands. Neck/shoulder pain at follow-up was associated with inability of ergonomic adjustments at the ultrasound device (PR 1.25; CI 1.05-1.49), a high mechanical exposure index (PR 1.66; CI 1.09-2.52), and adverse visual conditions (PR 1.24; CI 1.00-1.54) at baseline. Moreover, among participants with no neck/shoulder pain at baseline, high job demands (PR 1.78; CI 1.01-3.12), and a high mechanical exposure index (PR 2.0; CI 0.98-4.14) predicted pain at follow-up. Pain in the elbows/hands at follow-up was associated with high sensory demands at baseline (PR 1.63; CI 1.08-2.45), and among participants without pain at baseline high sensory demands predicted elbow/hand pain at follow-up (PR 3.34; CI 1.53-7.31).
CONCLUSION: Pain at baseline was the strongest predictor for pain at follow-up in both body regions. We also found several occupational factors at baseline that were associated with pain at follow-up: inability to adjust equipment, adverse visual conditions, a high MEI, high job demands and high sensory demands. These results point at a possibility to influence pain with better ergonomics.

Entities:  

Keywords:  Diagnostic imaging; Physical; Psychosocial; Ultrasonography; Visual ergonomics; Women; Working conditions

Mesh:

Year:  2020        PMID: 32164619      PMCID: PMC7069173          DOI: 10.1186/s12891-020-3096-9

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


Background

Sonographers are skilled health care professionals who perform ultrasound examinations [1]. Such examinations are becoming increasingly common due to improved technology and knowledge, and a growing need [2]. However, conducting sonography is associated with risk factors for work-related musculoskeletal disorders (WMSDs) such as awkward postures and sustained static forces [3-5]. Furthermore, sonography is a computer-intensive work task since both the examination and the ensuing analysis are performed on a computer, constituting yet another risk factor for WMSDs [6]. Further, high occurrence of WMSDs has been reported among sonographers over more than 25 years [7]. In a previous cross-sectional study, we investigated the associations between reported pain and a number of occupational factors among 291 sonographers [8]. Pain was assessed in two regions; the neck/shoulders and the elbows/hands. For both body regions we found a positive association between pain and computer-related eye complaints, high job demands, high sensory demands and a high self-reported mechanical exposure (MEI; postures and movements). Additionally, in a larger cohort, including nurses, teachers and the sonographers, the sonographers reported a higher prevalence of shoulder pain than the other groups, using the same outcome measure of pain [9]. Considering these results, it is urgent to identify and determine which occupational factors that are not only associated but predictive of pain. Consequently, a follow-up questionnaire was sent to the 291 sonographers about two and a half years after the initial study. The aim of this study was thus to determine which factors at baseline that were associated with neck/shoulder and elbow/hand pain at follow-up, in sonographers.

Methods

Study design

This was a longitudinal questionnaire study, collecting data on exposure at baseline and outcome at follow-up. A questionnaire on working conditions, ergonomic and visual conditions, physical- and psychosocial workload, personal characteristics and musculoskeletal pain was distributed to Swedish female sonographers at baseline (March 2010 through October 2012) and at follow-up (September 2012 through April 2015 [mean follow-up time 29 months; SD 2]).

Study population

At baseline, a cohort of 291 female sonographers employed in all the clinical physiology and cardiology departments in hospitals throughout Sweden (n = 45), answered a self-administered questionnaire [8]. The inclusion criteria were: working at least 20 h per week and performing sonography for at least four hours per week during the previous three months before filling out the questionnaire. A follow-up questionnaire was sent to the cohort about two and a half years after baseline. Of the 291 participants at baseline, 248 (85%) answered to the follow-up questionnaire i.e. 43 participants did not respond at follow-up. Among those who responded, 40 (16%) were excluded because they no longer fulfilled the inclusion criteria concerning ongoing sonographic work (retired, parental leave or changed work, < 4 h sonography/week). Thus, 208 (71% of the original cohort) sonographers were included in the follow-up study (Table 1).
Table 1

Neck/shoulder and elbow/hand pain in sonographers at baseline and follow-up

Neck/shouldersElbows/hands
Pain at baselinePain at follow-upPain at baselinePain at follow-up
NN (%)N (%)NN (%)N (%)
Participants at baseline289169 (58)29185 (30)
Participants at follow-up205125 (61)140 (68)20863 (30)65 (31)
Excluded at follow-up4340
Missing outcome data at follow-up42 (50)0
Retired or on parental leave127 (58)4 (33)123 (25)1 (8)
No longer fulfilled inclusion criteriaa2717 (63)13 (48)2812 (43)6 (21)
Non-responders4116 (39)426 (14)

a Other kinds of leave > 50%, changed work or < 4 h/ ultrasound week

Neck/shoulder and elbow/hand pain in sonographers at baseline and follow-up a Other kinds of leave > 50%, changed work or < 4 h/ ultrasound week

Data collection

At baseline and at follow-up the participants answered a questionnaire. The follow-up questionnaire which was a modified version of the questionnaire used at baseline [8] included questions on personal characteristics [10], working conditions, ergonomic and visual conditions [8], physical- and psychosocial workload [11-15] and musculoskeletal pain [16-19]. Detailed information about all exposure variables are given in Table 2.
Table 2

Exposure variables (questionnaire) including questions on exposure, answers/options and how the analysis was performed

ItemQuestion on exposureAnswers/optionsFor analysis
Personal CharacteristicsAgeTrichotomized: 23–37; 38–53; 54–66 years
HeightTrichotomized: 153–163; 164–174; 175–185 cm
WeightTrichotomized: 45–65, 66–86, 87–107 kg
BMI dichotomized: 17.8–24.9; 25–29.9 kg/m2
Personal CharacteristicsHours/day of personal recovery time [10]Hardly any time at all; < 1 h/day; 1 h/day; 2 h/day; 3 h/day; ≥4 h/day.Dichotomized: ≤2; ≥3 h/day
Personal CharacteristicsFrequency of physical exercise [10]Never; Occasionally; Once a week, twice to four times/week; five times/week or moreDichotomized ≤ once; ≥ twice a week
Personal CharacteristicsHours of household work [10]0–2; 3–10; 11–20; 21–30; ≥ 31 h/weekDichotomized: ≤ 10; ≥ 11 h/week
Working conditionsYears as a professional sonographer [8]Dichotomized at the median ≤ 13 years; > 13 years
Working conditions

Hours of work/week? [8]

Hours of sonography/week? [8]

Hours/week was dichotomized as part-time (< 37 h/week) or full-time work (≥ 37 h/week)

Sonography/week was dichotomized at the median ≤ 18 h/week; > 18 h/week

As these were highly correlated competition was performed including both variables in the same model, and only the factor giving the lowest p-value was included in the main analyses (working hours/week for the neck/shoulders and sonography hours/week for the elbows/hands)

EchocardiographyDo you perform echocardiography?Yes/noDichotomized
Ergonomic conditions during examinations with the ultrasound device

Possibility to adjust

a) screen height

b) screen tilt),

c) the keyboard,

d) the chair

e) table for examinations [8]

Yes/no to allWhen positive answer to all items we considered that ergonomic adjustments were possible
Ergonomic conditions during computer workSatisfaction with the computer work station arrangements? [8]Very satisfied (can work comfortably); Rather satisfied; Neither satisfied or dissatisfied; Rather dissatisfied; Very dissatisfied (uncomfortable/strenuous work)Trichotomized: very/rather satisfied; neutral; rather/very dissatisfied
Ergonomic conditionsPerforming examinations in the ward on in-patients (bedside examinations)? [8]Never; Seldom; Sometimes; DailyDichotomized: Never/seldom; sometimes/daily
Visual conditions

a. Eyestrain related to computer work? [8]

b. Headache related to computer work? [8]

c. Eyesight adequately corrected? [8]

a and b) Never; Seldom; Sometimes; Often; Very often.

c) Good/adequately corrected; Inadequately corrected

Good visual conditions were considered present if the person had no headaches or eye complaints related to sonography examinations or computer work and sufficiently corrected eyesight
Physical workload11 items regarding awkward work postures, Mechanical exposure Index (MEI) [11, 12]Each item answered on a three-point scale Almost not at all; Some; A lotThe total score was calculated for each individual (range 11–33). MEI (sum score) was dichotomized at unexposed/low (≤15) and medium/high exposure (> 15)
Psychosocial conditionsThe Job Content Questionnaire was used regarding job demands (nine items), job control (nine items), job support (eight items) [13, 14]Each item answered on a four-point scale indicating the degree of agreement. Higher values on the scale indicate higher demands, better control and better support.The mean value in each dimension was calculated for each individual. Each dimension was dichotomized at low/high based on the median value.
Psychosocial conditionsOne dimension of The Copenhagen Psychosocial Questionnaire: sensory demands (five items) [15]Each item was answered on a five-point scale. Higher values indicated higher demands.The mean value in each dimension was calculated for each individual. The dimension was dichotomized at low/high based on the median value.
Exposure variables (questionnaire) including questions on exposure, answers/options and how the analysis was performed Hours of work/week? [8] Hours of sonography/week? [8] Hours/week was dichotomized as part-time (< 37 h/week) or full-time work (≥ 37 h/week) Sonography/week was dichotomized at the median ≤ 18 h/week; > 18 h/week As these were highly correlated competition was performed including both variables in the same model, and only the factor giving the lowest p-value was included in the main analyses (working hours/week for the neck/shoulders and sonography hours/week for the elbows/hands) Possibility to adjust a) screen height b) screen tilt), c) the keyboard, d) the chair e) table for examinations [8] a. Eyestrain related to computer work? [8] b. Headache related to computer work? [8] c. Eyesight adequately corrected? [8] a and b) Never; Seldom; Sometimes; Often; Very often. c) Good/adequately corrected; Inadequately corrected To assess the outcome, i.e. musculoskeletal pain at follow up, the participants were asked about subjective musculoskeletal complaints (aches, pain or discomfort) in the neck, shoulders, elbows and hands during the past 12 months using the Nordic Questionnaire [15]. In addition for each body region, information was collected about the frequency of complaints during the past year, using a 5-point scale (never, seldom, sometimes, often or very often) [16], as well as the intensity of complaints on an eleven-point scale from 0 (none at all) to 10 (extremely severe) [17]. We considered pain to be present if the participant reported complaints at least “seldom” with an intensity of at least 7 (very severe), “sometimes” with an intensity of at least 3 (moderate), or “often” or “very often” with an intensity of at least 2 (slight/mild) [18]. The body regions were merged together into the two separate regions neck/shoulder and elbow/hand. Pain was defined for each region.

Statistical methods

We used multivariate models with exposure at baseline as independent variables and pain at follow-up as dependent variables. Predictors of development of pain or recovery from pain were assessed in two different ways. 1) By including pain at baseline as an independent variable, and 2) by analysing data stratified by pain at baseline. Prevalence ratios (PRs) with 95% confidence intervals (CIs) were estimated by Poisson regression. The statistical package for the social sciences, SPSS 22 (IBM SPSS Statistics, 22 Commuter License, Armonk, New York, USA), was used.

Selection of confounders

Personal characteristics (age, height, weight, body mass index BMI, personal recovery time, physical exercise and house hold work) were assessed as potential confounders in a two-step procedure. As there were only four smokers we did not consider smoking as a characteristic. The selection of confounders was done separately for each body region. In the first step, pair-wise associations were assessed with the outcome variable (pain). Potential confounders with p < 0.20 in these analyses were carried forward to the second step, in which they were assessed against the different exposure variables one by one. Potential confounders that were associated with at least one exposure (p < 0.20) were included in the model building.

Model building

Separate models to identify associations between exposure at baseline and pain at follow up were created for each outcome. Firstly we assessed the pair-wise association between each exposure and each outcome (Model 1). Secondly, these associations were assessed adjusting for the confounders selected according to the procedure described above (Model 2). All exposures (excluding pain at baseline) that were associated with the outcome (p < 0.05) were included in a multivariate model, which also comprised the confounders (Model 3). Finally, the multivariate analyses were adjusted for (Model 4) pain at baseline and confounders. In Model 5 we assessed pair-wise associations for conditions statistically significant in Model 3, stratified by pain at baseline and adjusted for confounders. Thus, the five models were Model 1: Pair-wise associations, unadjusted Model 2: Pair-wise associations, adjusted for confounders Model 3: Multivariate model with exposures with p < 0.05 in model 2, adjusted for confounders Model 4: Model 3, adjusted for pain at baseline and confounders Model 5: Model 3, pair-wise associations stratified by pain at baseline and adjusted for confounders

Results

Two hundred and eight (71% of the original cohort) sonographers were included in the follow-up analyses. Their mean age at baseline was 45 years (range 24–65; SD: 12) (Table 1).

Changes in the presence of pain between baseline and follow-up

The overall prevalence of neck/shoulder pain increased from 61% (N = 125), to 68% (N = 140), during the follow-up period (Fig. 1). Among the sonographers who reported pain at baseline (N = 125), 112 (90%) also did so at follow-up. Twenty-eight (35%) of the 80 who did not report pain at baseline reported pain at follow-up.
Fig. 1

Health status at follow-up among participants without (N = 80) and with (N = 125) pain in the neck/shoulders at baseline

Health status at follow-up among participants without (N = 80) and with (N = 125) pain in the neck/shoulders at baseline Among the sonographers who reported elbow/hand pain the prevalence of pain increased from 30% (N = 63) to 31% (N = 65) during the follow-up period (Fig. 2). Among the participants who reported pain at baseline (N = 63), 40 (63%) also did so at follow-up (Fig. 2). Twenty-five (17%) of the 145 that did not report pain at baseline reported it at follow-up.
Fig. 2

Health status at follow-up among participants without (N = 145) and with (N = 63) pain in the elbows/hands at baseline

Health status at follow-up among participants without (N = 145) and with (N = 63) pain in the elbows/hands at baseline

Associations between exposures at baseline and pain at follow-up

In the pair-wise models (Model 1 and 2; Table 3), pain at baseline, inability of ergonomic adjustments at the ultrasound device, adverse visual conditions, dissatisfaction with the computer workstation arrangements, a high MEI and high job demands were associated with neck/shoulder pain at follow-up. In the multivariate model (Model 3) associations remained for inability of ergonomic adjustments, poor visual conditions and a high MEI.
Table 3

Associations between self-reported factors at baseline and musculoskeletal pain in the neck/shoulders at follow-up

Pain at follow-upModel 1aModel 2bModel 3cModel 4d
NN (%)PRCIPRCIPRCIPRCI
Neck/shoulder pain at baseline
 No pain8028 (35)111
 Pain125112 (90)2.56(1.88–3.47)2.54(1.88–3.42)2.04(1.50–2.76)
Years as a professional sonographer
 0.1–1311076 (69)11
 13.1–369463 (67)0.97(0.80–1.17)0.96(0.79–1.16)
Working hours/week
 20–369659 (61)11
 37–4110981 (74)1.21(0.99–1.47)1.19(0.97–1.46)
Echocardiography
 No5439 (72)11
 Yes151101 (66)1.08(0.89–1.31)1.10(0.89–1.35)
Bedside examinations
 No/Seldom14292 (65)11
 A few times per week/Daily6247 (76)1.17(0.97–1.41)1.18(0.98–1.42)
Ergonomic adjustments possible
 Yes11671 (61)1111
 No8568 (80)1.31(1.10–1.56)1.33(1.11–1.59)1.25(1.05–1.49)1.13(0.97–1.32)
Good visual conditions
 Yes7944 (55)111
 No12294 (77)1.38(1.11–1.72)1.43(1.15–1.78)1.24(1.00–1.54)
Satisfaction with computer workstation arrangements
 Very satisfied/Rather satisfied12580 (64)1111
 Neutral4732 68)1.04(0.89–1.22)1.04(0.89–1.21)1.04(0.84–1.29)1.03(0.87–1.23)
 Rather/Very dissatisfied2825 (90)1.29(1.11–1.48)1.25(1.08–1.44)1.06(0.87–1.29)1.01(0.85–1.21)
MEI (mechanical exposure index)
 Unexposed/Low (11–15)3012 (40)1111
 Medium/High (16–33)165124 (75)1.88(1.20–2.94)1.94(1.27–2.99)1.66(1.09–2.52)1.34(0.90–1.99)
Job demands (cut-off: 2.44)
 Low10561 (58)11
 High9979 (80)1.37(1.14–1.66)1.38(1.15–1.67)1.13(0.94–1.36)
Job control (cut-off: 2.83)
 Low11283 (74)11
 High9257 (62)0.84(0.69–1.02)0.84(0.70–1.10)
Job support (cut-off: 2.87)
 Low12089 (74)11
 High8439 (46)0.82(0.67–1.00)0.85(0.68–1.02)
Sensory demands (cut-off: 80)
 Low5534 (62)111
 High149106 (71)1.09(0.91–1.32)1.15(0.91–1.32)1.12(0.95–1.33)

Calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in boldface are statistically significant

a Pair-wise, unadjusted

b Pair- wise, adjusted for BMI and physical exercise

c Multivariate model with exposures with p < 0.05 in model 2, adjusted for BMI and physical exercise

d Multivariate model with exposures with p < 0.05 in model 2, adjusted for BMI and physical exercise and for pain at baseline

Associations between self-reported factors at baseline and musculoskeletal pain in the neck/shoulders at follow-up Calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in boldface are statistically significant a Pair-wise, unadjusted b Pair- wise, adjusted for BMI and physical exercise c Multivariate model with exposures with p < 0.05 in model 2, adjusted for BMI and physical exercise d Multivariate model with exposures with p < 0.05 in model 2, adjusted for BMI and physical exercise and for pain at baseline For elbows/hands, pain at baseline and high sensory demands were associated with pain at follow-up (Model 1 and 2; Table 4). The association with high sensory demands remained in the multivariate model (Model 3).
Table 4

Associations between self-reported factors at baseline and musculoskeletal pain in elbows/hands at follow-up

Pain at follow-upModel 1a (unadjusted)Model 2bModel 3cModel 4d
NN (%)PRCIPRCIPRCIPRCI
Elbow/hand pain at baseline
 No pain14525 (17)111
 Pain6340 (63)3.68(2.46–5.51)3.60(2.40–5.42)3.45(2.29–5.22)
Years as a professional sonographer
 0.1–1311032 (29)11
 13.1–369832 (33)1.13(0.76–1.70)1.43(0.86–2.39)
Sonography (h/week)
 1–1810531(30)11
 19–4010334 (33)1.12(0.75–1.67)1.19(0.80–1.77)
Echocardiography
 No5617 (31)11
 Yes15248 (32)0.96(0.61–1.52)0.96(0.61–1.51)
Bedside examinations
 No/Seldom14542 (29)11
 A few times per week/Daily6222 (35)1.23(0.81–1.87)1.20(0.79–1.83)
Ergonomic adjustments possible
 Yes11736 (31)11
 No8729 (33)1.08(0.72–1.62)1.09(0.74–1.62)
Good visual conditions
 Yes7926 (33)11
 No12538 (30)0.92(0.61–1.39)0.87(0.58–1.31)
Satisfaction with computer workstation arrangements
 Very satisfied/Rather satisfied12839 (30)11
 Neutral4716 (34)1.12(0.69–1.80)1.13(0.71–1.80)
 Rather/Very dissatisfied289 (32)1.02(0.58–1.92)1.13(0.63–2.05)
MEI
 Unexposed/Low (11–15)336 (18)11
 Medium/High (16–33)16557 (63)1.90(0.89–4.04)1.87(0.89–3.95)
Job demands (cut-off: 2.44)
 Low10829 (27)11
 High10036 (36)1.32(0.86–1.99)1.30(0.87–1.94)
Job control (cut-off: 2.83)
 Low11339 (35)11
 High9526 (27)0.80(0.53–1.21)0.83(0.55–1.26)
Job support (cut-off: 2.87)
 Low12243 (35)11
 High8622 (26)0.73(0.48–1.13)0.76(0.49–1.16)
Sensory demands (cut-off: 80)
 Low11227 (24)1111
 High9538 (40)1.65(1.10–2.50)1.63(1.08–2.45)1.63(1.08–2.45)1.46(1.00–2.12)

Calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in boldface are statistically significant

a Pair-wise, unadjusted

b Pair- wise, adjusted for height and physical exercise

c Multivariate model with exposures with p < 0.05 in model 2, adjusted for height and physical exercise

d Multivariate model with exposures with p < 0.05 in model 2, adjusted for height and physical exercise and for pain at baseline

Associations between self-reported factors at baseline and musculoskeletal pain in elbows/hands at follow-up Calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in boldface are statistically significant a Pair-wise, unadjusted b Pair- wise, adjusted for height and physical exercise c Multivariate model with exposures with p < 0.05 in model 2, adjusted for height and physical exercise d Multivariate model with exposures with p < 0.05 in model 2, adjusted for height and physical exercise and for pain at baseline When adjusting for pain at baseline (Model 4), only pain at baseline remained a significant predictor of neck/shoulder pain at follow-up. For elbows/hands, pain at baseline and high sensory demands predicted pain at follow-up.

Predictors of pain or recovery

Predictors of pain or recovery were evaluated using Model 5, i.e. stratifying by pain at baseline. Among those who did not report pain at baseline, a high MEI (almost statistically significant) and high job demands predicted neck/shoulder pain (Table 5). High sensory demands was a significant predictor for elbow/hand pain. Among those who reported pain at baseline we found no significant predictors of persistent pain or recovery.
Table 5

Associations between self-reported factors at baseline and pain at follow-up, stratified by pain at baseline

Model 5
Pain at baselineNo pain at baseline
N%PRCIN%PRCI
NECK/SHOULDERSa
Ergonomic adjustments possible
 Yes63(51)153(67)1
 No61(49)1.10(0.98–1.24)24(30)1.49(0.85–2.58)
Visual conditions
 Yes35(29)144(56)1
 No87(71)1.13(0.96–1.32)35(44)1.14(0.65–2.02)
Satisfaction with the computer work-station arrangements
 Very satisfied /Rather satisfied71(58)154(68)1
 Neutral28(23)1.08(0.99–1.19)19(30)0.86(0.69–1.08)
 Rather/very dissatisfied23(19)0.98(0.79–1.22)5(2)1.20(0.78–1.85)
Mechanical exposure index score
 Unexposed/low (11–15 p)9(7)11
 Medium/High (16–33 p)111(93)1.19(0.84–1.69)2.01(0.98–4.14)
Job demands (cut-off: 2.44)
 Low56(55)149(62)1
 High69(45)1.11(0.98–1.26)30(38)1.78(1.01–3.12)
ELBOWS/HANDSb
Sensory demands (cut-off: 80)
 Low30(48)182(56)1
 High33(52)0.90(0.62–1.30)62(43)3.34(1.53–7.31)

Pair-wise associations for conditions that were statistically significant in Model 3 (Tables 3 and 4), calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in bold face are statistically significant

aAdjusted for BMI and physical exercise

bAdjusted for height and physical exercise

Associations between self-reported factors at baseline and pain at follow-up, stratified by pain at baseline Pair-wise associations for conditions that were statistically significant in Model 3 (Tables 3 and 4), calculated with Poisson regression as the prevalence ratio (PR) and 95% confidence interval (CI). Results in bold face are statistically significant aAdjusted for BMI and physical exercise bAdjusted for height and physical exercise

Discussion

Principal findings

Unsurprisingly, pain at baseline was the factor that showed the strongest association with pain at follow-up in both body regions. Inability of ergonomic adjustments at the ultrasound device, adverse visual conditions, a high MEI and pain at baseline were also associated with neck/shoulder pain at follow-up, but when adjusting for pain at baseline these associations were no longer statistically significant. This may be explained by the fact that there was a strong association between ergonomic/visual conditions and pain already at baseline [8], and there was no further increase of the associations at follow-up. Among those who did not report pain at baseline, high job demands predicted incidence of pain at follow-up. High sensory demands at baseline was associated with elbow/hand pain at follow-up. This association remained both after adjustment for pain at baseline and when analysing only among those who did not report pain at baseline.

Strengths and limitations

The most important strength is the longitudinal design. To our knowledge, this is the first longitudinal study that aims at exploring associations between occupational factors and pain among sonographers. Another strength with the present study was that the outcome criteria included a combination of frequency and intensity of pain. Our definition focuses on complaints that are of a certain dignity, which give a higher relevance than to just ask whether the subject has experienced any pain during the past year. A limitation was that we only performed two enquiries with a quite long interval. The study design is insensitive to fluctuations that may occur after baseline up to twelve months before follow up. Still, the results concerning which factors at baseline that are associated with pain at follow up are valid. Responders at follow-up reported a higher frequency of pain at baseline than the non-responders, possibly reflecting an unhealthy worker selection bias. However, as the response rate at follow up was as high as 85% we believe the effect of such selection bias, if present, to be minor. Individuals with pain are more inclined to overestimate their exposure due to the pain, which may result in an incorrect association between exposure and pain [20, 21]. Concerning factors that are objective and not influenced by the person’s own experience, such as whether the equipment is possible to adjust, we do not expect such information bias. Job demands and high sensory demands, which are based on self-reports of own experience, predicted pain among participants that did not meet the criteria for pain at baseline. Thus, pain did not affect their perception of demands at baseline. Accordingly, on the whole, we do not believe that our results are affected to any major extent by information bias due to pain at baseline. Traditionally, causal associations are investigated by following healthy previously unexposed participants over time. However, though the cohort included more than 200 participants, only 80 of them did not report neck/shoulder pain at baseline, which limited the possibility of studying causal associations using traditional methods. Further, they had already worked as sonographer for in median 13 years, prior to this study, (range 0.25–36 years), and some of those that were prone to develop pain due to adverse working conditions were possibly already affected. To be able to utilize all the information in the study population we applied several strategies. Associations between pain and working conditions at baseline could include pain that was present throughout the study. Adjustment for pain at baseline enabled us to detect the effect of change in pain between baseline and follow-up (either incidence or recovery). Thus, we consider model 3, 4 and 5 to all contribute with valuable information concerning which factors at work that are relevant to consider in preventive actions.

Musculoskeletal pain

The pain definition used in the present study has so far seldom been reported, and it is therefore challenging to compare the prevalence of pain among the sonographers with that in the general population. However, in a study of highly exposed Swedish dental personnel the prevalence of neck/shoulder pain was 56% using the same case definition [22]. Therefore, we consider the baseline prevalence of 61% in the present study to be high. Further, in a large cohort study, including the sonographers in the present study but also teachers and nurses, pain in shoulders was more common among the sonographers than among the other groups and the prevalence of shoulder pain increased more from baseline to follow-up among the sonographers than it did in the other occupational groups (Arvidsson I, Nordander C, Gremark Simonsen J, Lindegård Andersson A, Björk J: The impact of occupational and personal factors on musculoskeletal pain - A longitudinal cohort study of female teachers, nurses and sonographers, unpublished). In a large cohort study concerning the working population in France, an incidence of episodic neck pain, i.e. neck pain at least eight days during the previous twelve months, was 15% over five years in previously pain free women [23]. In our study, 35% among the sonographers that did not report neck/shoulder pain at baseline did so at follow-up, already after two and a half years. This indicates that sonographers are more prone than workers in general to develop neck/shoulder pain. The majority of the sonographers with neck/shoulder pain at baseline were still affected at follow-up, and the number of participants with pain increased. Pain is a well-known risk factor for future pain [24] and pain at baseline was the most notable predictor for pain at follow-up in both body regions. The participants in our cohort had however worked as sonographers for in median 13 years and the high prevalence of pain already at baseline may to some extent be due to associations with present or former occupational risk factors. The optimal study would be to follow workers from their first day in the occupation, but that has not been possible for us.

Recommendations

The sonographers showed a high prevalence of pain in neck and upper limb and were exposed to several well-known ergonomic and organisational risk factors. Optimizing working condition may reduce pain and based on the associations at baseline as well as on knowledge from the literature [4, 5, 25–30] we would like to make some recommendations. We recommend the equipment to be possible to adjust to fit the examiner’s anthropometrics and to allow variation in work technique. Also, the sonographers should be encouraged to vary their postures and movements. Previous studies have reported that adverse visual conditions cause musculoskeletal discomfort [31-33]. Sonographers often turn the light on and off during and between examinations, and it takes longer to adapt from one lighting level to another with increasing age [32]. Sonographers have also reported that perceived poor lighting, e.g. glare or dazzle in the screen, leads to eyestrain and musculoskeletal discomfort [5]. There is limited evidence for the effects of visual interventions to prevent visual symptoms among computer users [34]. However, the sonographers’ visual conditions include extraordinary conditions and we thus believe improvements to be important. To reduce job demands, we recommend organisational efforts to prevent stress from e.g. unplanned or prolonged examinations, delays and technical errors [35]. In summary, the sonographers´ workplace needs a multidisciplinary approach, involving both ergonomists and optometrists [36], since the arranging is complex, taking into account anthropometric measures and age.

Conclusion

Pain at baseline was the strongest predictor for pain at follow-up in both body regions. We also found several occupational factors at baseline that were associated with pain at follow-up: inability to adjust equipment, adverse visual conditions, a high MEI, high job demands and high sensory demands. These results point at a possibility to influence pain with better ergonomics. Future research should aim at exploring whether these factors represent a cause and effect relationship. Further, intervention studies should be done to test whether the recommended ergonomic or organizational changes impact future pain.
  32 in total

1.  Questionnaire-based mechanical exposure indices for large population studies--reliability, internal consistency and predictive validity.

Authors:  I Balogh; P Orbaek; J Winkel; C Nordander; K Ohlsson; J Ektor-Andersen
Journal:  Scand J Work Environ Health       Date:  2001-02       Impact factor: 5.024

2.  A multidisciplinary approach to solving computer related vision problems.

Authors:  Jennifer Long; Magne Helland
Journal:  Ophthalmic Physiol Opt       Date:  2012-04-28       Impact factor: 3.117

3.  The Copenhagen Psychosocial Questionnaire--a tool for the assessment and improvement of the psychosocial work environment.

Authors:  Tage S Kristensen; Harald Hannerz; Annie Høgh; Vilhelm Borg
Journal:  Scand J Work Environ Health       Date:  2005-12       Impact factor: 5.024

Review 4.  Workplace interventions to prevent musculoskeletal and visual symptoms and disorders among computer users: a systematic review.

Authors:  Shelley Brewer; Dwayne Van Eerd; Benjamin C Amick; Emma Irvin; Kent M Daum; Fred Gerr; J Steven Moore; Kim Cullen; David Rempel
Journal:  J Occup Rehabil       Date:  2006-09

5.  Risk factors for persistent elbow, forearm and hand pain among computer workers.

Authors:  Christina F Lassen; Sigurd Mikkelsen; Ann I Kryger; Johan H Andersen
Journal:  Scand J Work Environ Health       Date:  2005-04       Impact factor: 5.024

6.  Questionnaire versus direct technical measurements in assessing postures and movements of the head, upper back, arms and hands.

Authors:  G A Hansson; I Balogh; J U Byström; K Ohlsson; C Nordander; P Asterland; S Sjölander; L Rylander; J Winkel; S Skerfving
Journal:  Scand J Work Environ Health       Date:  2001-02       Impact factor: 5.024

7.  Psychosocial work stress, leisure time physical exercise and the risk of chronic pain in the neck/shoulders: Longitudinal data from the Norwegian HUNT Study.

Authors:  Rannveig Fanavoll; Tom Ivar Lund Nilsen; Andreas Holtermann; Paul Jarle Mork
Journal:  Int J Occup Med Environ Health       Date:  2016       Impact factor: 1.843

8.  Prevalence of carpal tunnel syndrome and other work-related musculoskeletal problems in cardiac sonographers.

Authors:  H E Vanderpool; E A Friis; B S Smith; K L Harms
Journal:  J Occup Med       Date:  1993-06

9.  The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics.

Authors:  R Karasek; C Brisson; N Kawakami; I Houtman; P Bongers; B Amick
Journal:  J Occup Health Psychol       Date:  1998-10

10.  Assessments of Physical Workload in Sonography Tasks Using Inclinometry, Goniometry, and Electromyography.

Authors:  Jenny Gremark Simonsen; Camilla Dahlqvist; Henrik Enquist; Catarina Nordander; Anna Axmon; Inger Arvidsson
Journal:  Saf Health Work       Date:  2017-09-04
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  2 in total

1.  The impact of occupational and personal factors on musculoskeletal pain - a cohort study of female nurses, sonographers and teachers.

Authors:  Inger Arvidsson; Jenny Gremark Simonsen; Agneta Lindegård-Andersson; Jonas Björk; Catarina Nordander
Journal:  BMC Musculoskelet Disord       Date:  2020-09-18       Impact factor: 2.362

2.  Time Course and Risk Profile of Work-Related Neck Disability: A Longitudinal Latent Class Growth Analysis.

Authors:  Yanfei Xie; Brooke K Coombes; Lucy Thomas; Venerina Johnston
Journal:  Phys Ther       Date:  2022-06-03
  2 in total

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