Literature DB >> 31537567

Is age more than manual material handling associated with lumbar vertebral body and disc changes? A cross-sectional multicentre MRI study.

Francesco S Violante1, Maurizio Zompatori2, Piero Lovreglio3, Pietro Apostoli4, Francesco Marinelli5, Roberta Bonfiglioli5.   

Abstract

OBJECTIVE: Conflicting evidence exists to what extent manual material handling (MMH) causes lumbar disc disease, lack of evidence exist that this effect takes place especially at L5-S1 level, where the greatest moment occurs. The aim was to assess if lumbar vertebral body and disc changes are more common in people whose job involves significant MMH and, if so, to evaluate if lumbar vertebral body and disc changes are more prevalent in the lower part of the lumbar spine (L4-L5 and L5-S1).
DESIGN: Observational, cross-sectional, with quasi-random recruitment.
SETTING: Outpatient radiology units of three large hospitals in northern (Bologna and Brescia) and southern (Bari) Italy. PARTICIPANTS: 183 consecutive adult subjects (89 males, 94 females) aged 20-70 years referred by the general practitioner or a specialist for MRI of the lumbar spine. PRIMARY AND SECONDARY OUTCOME MEASURES: Neuroradiologists (blind to clinical assessment) evaluated the prevalence of intervertebral disc and vertebral body changes in standardised MRI examinations. History of personal and family musculoskeletal diseases and injuries, current and previous MMH at work and during leisure time were assessed by interview and self-administered questionnaire.
RESULTS: Participants were classified according their occupational exposure to MMH. No association was found between MMH and vertebral body and intervertebral disc changes, whereas age over 45 years was consistently associated with more disc extension beyond the interspace changes, Pfirrmann changes, osteophytes and Modic changes: the association was statistically significant at the conventional 5% level.
CONCLUSIONS: Age, and not MMH, seems to primarily affect the presence of intervertebral disc changes; prospective studies are needed to better explore the relationship between MMH and the possible presence (and level) of lumbar vertebral body and/or disc changes. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  DEBIT; Pfirmann; biomechanics; disc degeneration; lumbar spine; magnetic resonance imaging; manual material handling; modic changes; osteophytes; spondylolisthesis

Year:  2019        PMID: 31537567      PMCID: PMC6756319          DOI: 10.1136/bmjopen-2019-029657

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Multicentre MRI study of 183 consecutive adult subjects referred for imaging of the lumbar spine. Detailed information about lumbar intervertebral disc structure and morphology, vertebral endplate and bone marrow changes, associated with personal and occupational factors, are provided. Consensus criteria to enhance accuracy and repeatability of imaging reporting were agreed on; however, radiologists independently read MRI within each participating centre. Limitations of the study are the cross-sectional design and the self-reported questionnaire-based exposure assessment.

Introduction

Low back pain (LBP) is a significant societal and medical problem. LBP is highly prevalent in all populations and disability-adjusted life years associated with this condition have constantly increased worldwide. People with physically demanding jobs are at greatest risk of reporting LBP.1 Epidemiological literature suggests a causal link between excessive occupational manual material handling (MMH) and increased risk of LBP (mostly of the recurrent type) in some occupational groups2: there are, however, critics to this view. The results of a systematic review did not support a causal association between workplace manual handling or assisting patients and LBP in a Bradford-Hill framework.3 Whereas the causal association between MMH and LBP (at least, the postexertional variety) is broadly accepted, there is less information on MMH as a possible cause of lumbar vertebrae or discs changes4 5 and especially about the specific level of vertebral or disc change due to MMH, if any.6 Moreover, genetics seems to be increasingly recognised as a strong causative factor for disc disease,7 8 explaining most of the disc degeneration found in twin studies.9 Whether MMH is a possible cause of disc diseases is a relevant issue: given the large prevalence of this condition in the population,1 one should expect that preventive effort towards MMH could lower not only the incidence (and, later, the prevalence) of LBP but also of disc disease and their related huge health cost. As there are five lumbar vertebrae and discs, if MMH is a cause of vertebral and disc changes it is relevant too (both for preventive purposes and medicolegal implications), to understand if there is a specific segment of the lumbar spine which is affected by MMH. Apparently, epidemiologists have so far investigated the hypothesis that MMH may cause disc disease at any level in the lumbar spine (from L1-L2 to L5-S1).4 5 10–13 However, this hypothesis is not consistent with current biomechanical knowledge, which has demonstrated that during MMH the disc which incurs in the greatest load (in terms of vertical and shear forces) is L5-S1.14 Based on this background knowledge, we designed this study to explore the following ‘a priori’ hypotheses: If MMH is a definite cause of (or significantly contribute to) lumbar vertebral body and disc changes, the latter should be more common in people who perform MMH, compared with a control group. If more common in people who perform MMH, lumbar vertebral body and disc changes should be more prevalent where MMH produces the greatest load on lumbar spine (L5 body and L5-S1 disc).

Methods

Clinical and imaging studies

We invited to participate all the patients who were referred for MRI of the lumbar spine to the outpatient radiology units of three large hospitals in northern (Bologna and Brescia) and southern (Bari) Italy. Participants were consecutively recruited during the period October 2013 to March 2017 using a quasi-random sampling (ie, patients were invited regardless of wether they were or had been previously exposed to MMH). Inclusion criteria were the age between 20 and 70 years and the willingness to participate in the study; exclusion criteria were history of metastatic cancer, spinal fractures, severe deformities of the spine (eg, scoliosis over 40°). Consent of each subject studied was obtained in writing, form approved by the ethics committee. Prior or after the MRI examination, the patients were interviewed by an occupational physician. Personal and family history of musculoskeletal diseases and injuries, work history, current and previous exposure to biomechanical risk factors at work and during leisure time were assessed by means of a questionnaire; being involved in competitive sports (ie, follow a daily training and compete with each other) as well as information about the presence and frequency of manual material lifting, carrying, pushing or pulling, and awkward spine postures in the current and in previous jobs were collected. To assess the exposure to MMH we adapted part of a questionnaire previously validated.15 Specifically, we evaluated the frequency of each task/posture as: never, sometimes, often, always/almost always. Moreover, lifting/carrying activities were classified according to the weight of the load: <5 kg, from 5 to 15 kg, from 15 to 25 kg and >25 kg. For each class of weight, the subject had to indicate the frequency of lifting/carrying as: never, sometimes, often, always/almost always. The occupational physician was blinded to the results of the MRI at the time of the interview and the radiologist was blinded to the results of the interview when examining the MRI images. Before pairing the interviews with the results of the MRI, MMH was coded for each subject according to the job title. White collar workers (administrative, teachers, managers, call centre operators) formed the control (unexposed) group, while subjects working or having worked in an occupation in which MMH is currently considered to be a typical occupational risk were considered exposed and were divided into three categories based on increasing physical work load. The job exposure matrix (JEM) proposed by Seidler et al was used as reference.16 Technicians, police officers, soldiers, hairdressers, biologists, physicians, nursery home teachers and retailers were classified as exposed to low physical MMH workload. Maintenance workers, waiters, grocery stores workers, electrical and electronics workers, painters, barmen, caregivers/in-home nurses were included in the middle group. Finally, in the high physical workload group, we comprised agricultural and construction workers, nurses, warehouse and production workers. Current and previous jobs lasting for >5 years and occurring in the last 10 years were considered for classification. In case of divergence, the job with the highest intensity of MMH was used to define the physical load. Patients’ own assessment of MMH was also applied to classify participants as unexposed (never lifting/carrying activities or sometimes lifting weight <5 kg) or exposed into three groups according to the frequency of lifting/carrying activities (sometimes; often; always) or of the weight handled (sometimes from 5 to 15 kg; sometimes >15 kg or often up to 15 kg; often >15 kg or always any weight). Then, the three classes (low MMH workload, intermediate MMH workload, high MMH workload) of MMH based on job title were compared with the detailed description of MMH given by the patients, and they were found to be corresponding. Each MRI examination was coded, for each vertebral body and intervertebral disc, as described below. Lumbar intervertebral disc degeneration was graded according to the Pfirrmann et al 17 classification system based on the following parameters: structure of the disc, distinction of nucleus and annulus, MRI signal intensity, height of intervertebral disc. For the purpose of the analysis, we considered three categories: 0 included Pfirmann’s I and II (homogeneous or inhomogeneous structure with or without horizontal bands, clear distinction of nucleus and annulus, hyperintense or isointense signal to cerebrospinal fluid, normal disc height); 1 included Pfirmann’s III (inhomogeneous grey structure, unclear distinction of nucleus and annulus, intermediate signal intensity, normal to slightly decreased disc height) and finally category 3 included Pfirmann’s IV and V (inhomogeneous grey to black structure, lost distinction of nucleus and annulus, intermediate to hypointense signal, normal to moderately decreased disc height or collapsed disc space). Disc morphology was classified as normal, bulging, protrusion and extrusion, according to the shape of the observed ‘disc extension beyond the interspace’, aka DEBIT.18 DEBIT 0 corresponded to a ‘normal’ condition (no disc material extending beyond the periphery of the disc space), DEBIT 1 meant ‘bulging’ (ie, circumferential symmetric disc tissue extending beyond the endplate >50%), DEBIT 2 to 4 corresponded to ‘protrusion’ and DEBIT 5 to 8 were related to ‘extrusion’. Signal changes in the vertebral bone marrow adjacent to the end plates was categorised according to the modification of signal intensity on T1 and T2 weighted spin echo of MRI examination, aka Modic changes.19 Modic category 0 meant a normal condition, Modic 1 bone marrow oedema, Modic 2 fatty degeneration and Modic 3 bone sclerosis. The presence and distribution of osteophytes in lumbar vertebrae was classified into three categories: absent, discontinuous and continuous.20 The degree of spondylolystesis21 was measured and graded into six categories: absent, <25%, 25%–50%, 50%–75%, 75%–100%, >100%.

Patient and public involvement

Patients or the public were not involved in this study.

Statistical analysis

Statistical analysis was carried out using Stata V.15.1 SE. Summary statistics were expressed as percentages or mean and SD as appropriate. In our study, we considered Modic changes above grade 0, DEBIT changes above grade 1 in one or two discs (at any level of the lumbar spine), DEBIT changes above grade 1 at L4-L5 and L5-S1 level. Pfirrmann changes above grade 2 and presence of osteophytes in lumbar vertebrae were assessed at any level and at L4-L5 and L5-S1. Independent two-sample Student’s t-test was used to compare current LBP intensity score on a 0–10 visual analogue scale between not exposed and exposed to MMH. The correlation between occupational exposure to MMH and each lumbar spine outcome was assessed with the Spearman’s rank correlation coefficient Associations of lumbar spine outcomes with risk factors were characterised by prevalence ratios (PRs) and associated 95% CIs, estimated by fitting Poisson regression models with robust SEs clustered on the three centres. For analysis of the risk of developing one of the lumbar spine outcomes, we examined the individual-level risk factors: sex, age, competitive sport, body mass index (BMI), smoke history, length of the occupational exposure to MMH, familiar history of lumbar disc disease. Age was classified in two categories (45 years or less and more than 45 years). Variables that reached a p value <0.1 at univariate analysis for at least one of the lumbar spine outcomes were introduced in multivariate models: after preliminary analysis, gender, age, BMI, familiar history of lumbar disc disease and competitive sport were retained as covariates in multivariate models. Age group and exposure to MMH were entered as categorical variables, competitive sport as a dichotomous variable and BMI as a continuous variable. Population attributable fractions (PAFs), defined as the percentage of cases attributable to the characteristic of interest were estimated after fitting regression models by means of maximum likelihood methods.22 P values <0.05 were considered significant.

Results

A total of 189 subjects performed an MRI at lumbar level and were invited to participate. Only two patients refused to fill in the questionnaire. Finally, the Bologna centre contributed 83 subjects to the study, Bari 75 and Brescia 29. Three subjects with a history of spinal fractures and one affected by scoliosis over 40° were excluded prior to the analysis, leaving 183 subjects. The demographic characteristics of the patients studied are reported in table 1: no statistically significant difference was found for personal characteristics between patients who were classified as exposed to MMH (any duration) and their not-exposed counterpart, for both sexes. All subjects were symptomatic for LBP during the last 12 months, 84,8% reported pain in the last 7 days and 66.8% were disabled by LBP. Exposed and unexposed subjects showed no differences in the characteristics of current LBP: the mean score on a 0–10 visual analogue scale was 5.9 (SD 2.2) and 5.3 (SD 2.5), respectively (p=0.14).
Table 1

Characteristics of the patient studied

CharacteristicMales (n=89)Females (n=94)
Unexposed(n=27, 30%)Exposed(n=62, 70%)Unexposed(n=48, 51%)Exposed(n=46, 49%)
MeanSDMeanSDMeanSDMeanSD
Age (years)44.313.549.212.949.515.550.310.9
BMI (kg/m2)26.44.026.53.824.54.326.95.1

BMI, body mass index; MMH, manual material handling.

Characteristics of the patient studied BMI, body mass index; MMH, manual material handling. Among exposed males (62 subjects) the intermediate class of exposure to MMH was underrepresented (9 subjects), whereas the same was true for the first class of exposure (9 subjects) among exposed females. Crude prevalence of vertebral and disc changes in exposed and unexposed subjects are reported by gender in table 2: among exposed males (62 subjects) DEBIT changes in two discs (regardless of the level) and in L4-L5 were more prevalent, as were Modic changes and osteophytes (any level). Among exposed females (46 subjects) only DEBIT changes in one disc (regardless of the level) were slightly more prevalent.
Table 2

Prevalence of vertebral and disc changes

Characteristic of lumbar spineMale (n=89)Female (n=94)
Unexposed (n=27)Exposed (n=62)Unexposed (n=48)Exposed (n=46)
N%N%N%N%
DEBIT>1 (1, any level)2074.14674.23470.83576.1
DEBIT>1 (2, any level)829.63251.62756.31941.3
DEBIT>1 (L4-L5 level)829.63353.22143.82145.7
DEBIT>1 (L5-S1 level)1866.73759.72347.92145.7
Pfirrmann changes2074.14572.63981.33473.9
Pfirrmann changes L4-L51348.23048.42552.12656.5
Pfirrmann changes L5-S11659.33454.83368.82247.8
Modic changes (any level)1140.73251.62245.82145.7
Modic changes L4622.21625.81122.91430.4
Modic changes L5725.92641.91939.61430.4
Modic changes S1725.91727.41531.3919.6
Osteophytes (any level)1555.64775.83879.23576.1
Osteophytes L4-L51037.03759.72654.22452.2
Osteophytes L5-S11037.03251.62858.32145.7

DEBIT, disc extension beyond the interspace.

Prevalence of vertebral and disc changes DEBIT, disc extension beyond the interspace. The PRs of lumbar spine outcomes and personal and occupational characteristics are reported in table 3A for disc morphology and disc degeneration and in table 3B for lumbar vertebral findings. In the multivariate model, age over 45 years was significantly associated with all the spine outcomes, whereas class of exposure to MMH was not. Male sex was significantly associated with DEBIT changes in one disc any level as well as L4-L5 and L5-S1, whereas there was suggestive evidence for the same association for Modic changes.
Table 3A

Associations between lumbar spine outcomes and personal characteristics: disc morphology and disc degeneration. Prevalence ratios and 95% CIs

CharacteristicUnivariate analysisMultivariate model*
NPR95% CIPR95% CI
DEBIT (1, any level)
 Sex
  Female941.00Ref.1.00Ref.
  Male891.010.53 to 1.011.111.00 to 1.23
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.151.04 to 1.291.151.05 to 1.26
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.030.74 to 1.421.030.82 to 1.31
  Intermediate251.060.88 to 1.271.110.89 to 1.39
  High561.040.92 to 1.170.990.91 to 1.07
DEBIT (2, any level)
 Sex
  Female941.00Ref.1.00Ref.
  Male890.920.58 to 1.451.100.77 to 1.57
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.861.11 to 3.111.851.16 to 2.95
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.030.82 to 1.301.101.03 to 1.17
  Intermediate250.940.38 to 2.331.040.48 to 2.28
  High561.030.70 to 1.530.960.70 to 1.32
DEBIT (1, L4-L5 level)
 Sex
  Female941.00Ref.1.00Ref.
  Male891.030.81 to 1.311.171.09 to 1.25
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.411.13 to 1.761.391.09 to 1.78
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.150.85 to 1.551.181.03 to 1.36
  Intermediate251.240.81 to 1.891.370.96 to 1.94
  High561.390.97 to 1.971.270.94 to 1.72
DEBIT (1, L5-S1 level)
 Sex
  Female941.00Ref.1.00Ref.
  Male891.320.92 to 1.891.451.03 to 2.04
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.000.90 to 1.111.010.95 to 1.08
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.880.56 to 1.390.810.54 to 1.20
  Intermediate251.020.93 to 1.131.020.99 to 1.05
  High561.010.72 to 1.430.890.60 to 1.30
Pfirrmann changes
 Sex
  Female941.00Ref.1.00Ref.
  Male890.940.86 to 1.031.080.94 to 1.23
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.361.10 to 1.681.331.10 to 1.61
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.940.61 to 1.440.970.71 to 1.34
  Intermediate250.970.69 to 1.341.000.65 to 1.53
  High560.910.54 to 1.520.850.50 to 1.44
Pfirrmann changes L4-L5
 Sex
  Female941.00Ref.1.00Ref.
  Male890.890.83 to 0.951.050.87 to 1.28
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.681.19 to 2.391.591.15 to 2.21
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.880.81 to 0.950.940.77 to 1.14
  Intermediate251.110.92 to 1.331.140.80 to 1.64
  High561.060.66 to 1.680.970.62 to 1.52
Pfirrmann changes L5-S1
 Sex
  Female941.00Ref.1.00Ref.
  Male890.960.75 to 1.221.130.82 to 1.58
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.361.01 to 1.831.321.01 to 1.72
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.620.31 to 1.250.630.30 to 1.32
  Intermediate250.860.57 to 1.300.860.47 to 1.58
  High560.850.50 to 1.450.780.46 to 1.31

*Multivariate model included sex, age, body mass index, competitive sport, family history of lumbar disc disease and class of exposure to MMH

DEBIT, disc extension beyond the interspace; MMH, manual material handling; PR, prevalence ratio;Ref, reference category.

Table 3B

Associations between lumbar spine outcomes and personal characteristics: lumbar vertebral findings. Prevalence ratios and 95% CIs

CharacteristicUnivariate analysisMultivariate model*
NPR95% CIPR95% CI
Modic changes
 Sex
  Female941.00Ref.1.00Ref.
  Male891.060.62 to 1.791.260.70 to 2.25
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.971.75 to 2.231.891.85 to 1.92
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.760.60 to 0.950.780.65 to 0.94
  Intermediate251.090.94 to 1.271.130.91 to 1.40
  High561.301.07 to 1.581.130.94 to 1.35
Modic changes L4
 Sex
  Female941.00Ref.1.00Ref.
  Male890.930.62 to 1.401.140.74 to 1.76
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451093.311.53 to 7.163.311.46 to 7.51
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.310.75 to 2.291.471.22 to 1.76
  Intermediate250.880.70 to 1.110.990.80 to 1.23
  High561.340.83 to 2.161.180.68 to 2.04
Modic changes L5
 Sex
  Female941.00Ref.1.00Ref.
  Male891.060.66 to 1.701.240.86 to 1.78
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.811.74 to 1.881.631.59 to 1.67
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.850.45 to 1.630.900.58 to 1.39
  Intermediate250.920.71 to 1.210.920.62 to 1.35
  High561.240.61 to 2.501.060.64 to 1.75
Modic changes S1
 Sex
  Female941.00Ref.1.00Ref.
  Male891.060.67 to 1.671.260.79 to 2.02
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.650.99 to 2.741.491.01 to 2.20
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.380.16 to 0.920.380.18 to 0.79
  Intermediate250.820.48 to 1.390.780.41 to 1.47
  High561.030.55 to 1.960.890.50 to 1.59
Osteophytes
 Sex
  Female941.00Ref.1.00Ref.
  Male890.900.84 to 0.961.000.94 to 1.06
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.871.58 to 2.211.771.54 to 2.04
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.000.81 to 1.221.070.98 to 1.17
  Intermediate251.020.75 to 1.391.020.84 to 1.24
  High561.141.04 to 1.241.040.95 to 1.15
Osteophytes L4-L5
 Sex
  Female941.00Ref.1.00Ref.
  Male890.990.96 to 1.021.130.99 to 1.29
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451092.311.05 to 5.092.281.04 to 4.98
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low271.160.86 to 1.561.221.04 to 1.43
  Intermediate251.080.57 to 2.051.100.68 to 1.77
  High561.230.99 to 1.531.070.90 to 1.27
Osteophytes L5-S1
 Sex
  Female941.00Ref.1.00Ref.
  Male890.910.63 to 1.301.060.79 to 1.44
 Age (years)
  ≤45741.00Ref.1.00Ref.
  >451091.701.44 to 2.011.611.46 to 1.76
 Class of exposure to MMH
  No exposure1.00Ref.1.00Ref.
  Low270.950.70 to 1.281.010.69 to 1.48
  Intermediate251.030.56 to 1.871.020.64 to 1.62
  High560.950.65 to 1.390.860.62 to 1.18

*Multivariate model included sex, age, body mass index, competitive sport, family history of lumbar disc disease and class of exposure to MMH

PR, prevalence ratio; DEBIT, disc extension beyond the interspace; MMH, manual material handling; Ref., reference category.

Associations between lumbar spine outcomes and personal characteristics: disc morphology and disc degeneration. Prevalence ratios and 95% CIs *Multivariate model included sex, age, body mass index, competitive sport, family history of lumbar disc disease and class of exposure to MMH DEBIT, disc extension beyond the interspace; MMH, manual material handling; PR, prevalence ratio;Ref, reference category. Associations between lumbar spine outcomes and personal characteristics: lumbar vertebral findings. Prevalence ratios and 95% CIs *Multivariate model included sex, age, body mass index, competitive sport, family history of lumbar disc disease and class of exposure to MMH PR, prevalence ratio; DEBIT, disc extension beyond the interspace; MMH, manual material handling; Ref., reference category. No significant correlation resulted between increasing exposure to MMH and any vertebral or disc outcome in both age groups (≤45 or >45 years old). Based on the reported multivariate risk estimates (tables 3A,B), we calculated the fractions of cases attributable in our study population to each risk factor (table 4). For DEBIT changes in more than two levels, Modic changes (any level) and osteophytes, about one-third of the cases could be attributed to age above 45 years. The contribution of age seems to be prevalent in L4 L5. Male gender contributed to 10% or 17% of Modic changes and DEBIT L5-S1, respectively. The PAF of lumbar spine outcomes for exposure to MMH was definitely low, only for DEBIT 1 L4-L5 reached 14%.
Table 4

Population attributable fractions (%) of lumbar spine outcomes. Maximum likelihood estimates from the multivariate models presented in tables 3A and B

CharacteristicsDEBIT(1, any level)DEBIT(2, any levels)DEBIT(1, L4-L5 level)DEBIT(1, L5-S1 level)Pfirrmann changesPfirrmann changes L4-L5Pfirrmann changes L5-S1
PAF %(95% CI) %PAF %(95% CI) %PAF %(95% CI) %PAF%(95% CI)%PAF%(95% CI)%PAF%(95% CI)%PAF%(95% CI)%
Male gender5(0 to 9)4(−13 to 19)7(4 to 10)17(0 to 32)3(−3 to 9)2(−7 to 10)6(−10 to 19)
Age above 45 years8(3 to 13)34(6 to 53)19(5 to 31)1(−3 to 4)17(5 to 27)26(6 to 42)16(−1 to 30)
Exposure to MMH2(−1 to 7)1(−22 to 19)14(−1 to 26)−7(−15 to 1)−6(−35 to 18)1(−21 to 18)−17(−57 to 13)

PAF, population attributable fraction; DEBIT, disc extension beyond the interspace; MMH, manual material handling.

Population attributable fractions (%) of lumbar spine outcomes. Maximum likelihood estimates from the multivariate models presented in tables 3A and B PAF, population attributable fraction; DEBIT, disc extension beyond the interspace; MMH, manual material handling.

Discussion

The main result of this study is a lack of difference in the prevalence of lumbar vertebral body and disc changes between subjects exposed to significant MMH and those unexposed. As in any single observational study, this result may be a real effect or the product of chance, misclassification of exposure or misclassification of the outcome. Misclassification of exposure to MMH is possible, as exposure has been attributed based on self-reported occupational information. On site assessment data, based on observations or measures collected in the companies, are nearly all the time unavailable in epidemiological research. Thus, self-reported exposure collected by questionnaire is usually employed5 10–12 and are considered a source for recall bias and possibly overestimation of exposure.23 To manage this critical issue, exposure classification was attributed according to job title using the JEM proposed by Seidler et al 16 which provides an estimation of the lumbar spine force through lifting, carrying or extreme forward bending. Furthermore, the classification of MMH based on exposure data reported in the questionnaire proved to be consistent with the one based on the JEM. In addition, exposure classification was primarily attributed without any knowledge of the MRI results so, if misclassification has occurred, it is likely to be non-differential. The same can be said about MRI results. A lack of dominant or prevailing effect of occupational MMH on the MRI ascertainable changes of the lumbar spine is, to our opinion, the more plausible explanation of the results of this study: several lines of evidence point in this direction. Studies in human volunteers, back in the sixties, measured the increase of pressure to which lumbar spine is subjected during MMH.24 So far, no convincing human evidence exists that a single, excessive compression of the lumbar spine can lead to intervertebral disc herniation: on the contrary, experimental studies have shown that ‘when a compressive load is applied to a lumbar motion segment—the name given to two adjacent vertebra and their intervening disc—failure occurs first in the endplate, then in the vertebral bodies, and only after that in the disc proper’ and ‘disc hernias have been produced when the posterior part of the intervertebral motion segment is first removed and then the disc is loaded in compression and flexion’.14 This experimental human evidence agrees with the common observation of vertebral body fractures during lifting in osteoporotic patients.25 Epidemiology of occupational MMH and lumbar disc disease is erratic; as a consequence, the exact contribution of biomechanical load in the multifactorial spectrum of etiological factors of lumbar vertebral body and disc changes is not completely understood. Twin studies26 point to a much greater role of genetics than MMH in disc degeneration and the presence of disc disease even in young children (long before any MMH may have been performed) sustains the role of genetic predisposition.27 This is supported also by a case–control study showed that in younger subjects, genetics was the main risk factor for lumbar disc herniation, followed by spinal load and hard working; only among subjects older than 55 years spinal load was the main risk factor.10 On the other hand, a case–control study found a positive dose-response relationship between cumulative lumbar load and disc changes among men and women, but the results displayed different patterns according to gender: women showed an increased effect on disc herniation while for man the stronger effect was recorded for disc narrowing.4 In a Danish cohort, males were followed for 33 years11 and investigated for hospitalisation due to herniated lumbar disc disease: a statistically significant association was found for strenuous manual work (resulting in sweating) but not for ergonomic load to the back. Exposed status was assigned at the inception of the cohort by questionnaire, and there was apparently no information whether exposure had changed during the follow-up. A register record linkage study investigated the same issue in 19 categories of workers engaged in the construction sector28: 7 of these categories did not show a statistically significant excess of hospitalisation due to lumbar disc disease in comparison to the control group of administrative workers; among the categories which showed a significant excess, however, the highest relative risk was for refrigerator technicians, who showed a risk greater than that of the bricklayers. Other studies analysed MRI lumbar findings with respect to individual and occupational characteristics attaining heterogeneous results. A cohort study on subjects with LBP and lumbar disc disease29 showed that ‘minor trauma’, also associated with lifting, do not induce new clinically significant findings in MRI, furthermore a cross-sectional MRI study30 comparing female nurses with LBP (who performed manual patients and material handling) with administrative workers (unexposed), failed to show significant differences in lumbar disc changes between the two groups. Another cross-sectional MRI study31 showed that physical occupational exposure was not associated with the presence of lumbar disc degeneration and narrowing per se but with increased number of involved discs and tendency towards more severe disc height loss in subjects in whom disc degeneration was already present or in people with a possibly innate tendency to develop degeneration. When analysing the distribution of MRI disc changes along the lumbar spine, in a Japanese elderly population age and BMI were associated with lumbar disc degeneration at any level, while occupational lifting was associated with disc disease only at L1-L2.12 Different conclusions are reported by Hung et al 5 who suggest a dose–response relationship between cumulative lifting load and disk dehydration, disk height narrowing, and disk bulging, especially at the lower lumbar levels. More recently Jang et al 13 showed that lumbar intervertebral disc degeneration (Pfirmann grade) increased with age and that field work such as firefighting, emergency and rescue may accelerate the effect of age on degeneration at the level L4–L5. Of note, the results of a 5-year longitudinal MRI study of 41 initially asymptomatic individuals challenge the hypothesis that the classic occupational physical risk factors have a strong and direct impact on disc degeneration.32 It is difficult to weight our figures against the results of the above mentioned studies given the different recruitment strategies, possible healthy workers effect among study groups recruited at company level, different age composition and individual characteristics conditioned by social, educational and dietary habits, especially if dealing with cultures from different Countries. As stated earlier, current biomechanical knowledge supports the idea that if disc disease is due to spinal load induced by MMH, the damage should follow the same pattern of the load: this means that when studying subjects who perform MMH versus control subjects, one should expect to find a higher overall frequency of disc disease not at ‘any level’ but mostly at L5-S1 level, because it incurs the greatest load during MMH. Our study was unable to show such a pattern, both as a higher frequency of any disc change in the subjects exposed to MMH and, specifically, as a concentration of abnormalities at L5-S1 level. The only consistent association found was between age above 45 years and disc changes; suggestive evidence was found for a higher frequency of Modic changes with age, too.

Strengths and limitations of this study

This multicentre study involves a sample of >180 subjects. It provides detailed information about lumbar intervertebral disc structure and morphology, as well as vertebral endplate and bone marrow changes, associated with personal and occupational factors. From a prevention perspective, our findings could contribute to the understanding of the role of lumbar mechanical load in the multifactorial aetiology of disc and vertebral degeneration. Limitations of this study are the cross-sectional design and the self-reported questionnaire-based exposure assessment. Given the recruitment strategy no physical examination procedure was feasible. Another limitation is the lack of comparison among radiologists who independently read MRI within each participating centre; however, in order to enhance accuracy and repeatability, a preliminary consensus criterion was reached to describe lumbar vertebral and disc features. Since the design of the study is not prospective, the study may not infer causality. Furthermore, a chance effect is always possible, and this can be ruled out, in the future, only by independent replication of this study, which may show if the results here reported are stable. In view of the less than optimal information presently available about MMH as a possible cause of lumbar vertebral body and disc changes, further high-quality studies are necessary (prospective design, careful individual investigation of MMH according the best available techniques, accurate standardised coding of lumbar spine changes at any of the levels, exposure and outcome assessors blind to each other).

Conclusions

In summary, this report found that age, and not MMH, seems to primarily affect the presence of lumbar intervertebral disc changes; in order to target preventive strategies towards populations at risk, there is a need of prospective studies to better explore the relationship between MMH and the possible presence (and level) of lumbar vertebral body and/or disc changes.
  29 in total

Review 1.  Physical load during work and leisure time as risk factors for back pain.

Authors:  W E Hoogendoorn; M N van Poppel; P M Bongers; B W Koes; L M Bouter
Journal:  Scand J Work Environ Health       Date:  1999-10       Impact factor: 5.024

Review 2.  Causal assessment of workplace manual handling or assisting patients and low back pain: results of a systematic review.

Authors:  Darren M Roffey; Eugene K Wai; Paul Bishop; Brian K Kwon; Simon Dagenais
Journal:  Spine J       Date:  2010-05-26       Impact factor: 4.166

3.  Risk factors for hospitalization due to lumbar disc disease.

Authors:  Jens Wahlström; Lage Burström; Tohr Nilsson; Bengt Järvholm
Journal:  Spine (Phila Pa 1976)       Date:  2012-07-01       Impact factor: 3.468

4.  Risk factors for lumbar disc degeneration: a 5-year prospective MRI study in asymptomatic individuals.

Authors:  Achim Elfering; Norbert Semmer; Daniel Birkhofer; Marco Zanetti; Juerg Hodler; Norbert Boos
Journal:  Spine (Phila Pa 1976)       Date:  2002-01-15       Impact factor: 3.468

5.  Interobserver and intraobserver variability in interpretation of lumbar disc abnormalities. A comparison of two nomenclatures.

Authors:  M N Brant-Zawadzki; M C Jensen; N Obuchowski; J S Ross; M T Modic
Journal:  Spine (Phila Pa 1976)       Date:  1995-06-01       Impact factor: 3.468

6.  Genetic influences on cervical and lumbar disc degeneration: a magnetic resonance imaging study in twins.

Authors:  P N Sambrook; A J MacGregor; T D Spector
Journal:  Arthritis Rheum       Date:  1999-02

7.  Factors associated with lumbar intervertebral disc degeneration in the elderly.

Authors:  Mika Hangai; Koji Kaneoka; Shinya Kuno; Shiro Hinotsu; Masataka Sakane; Naotaka Mamizuka; Shinsuke Sakai; Naoyuki Ochiai
Journal:  Spine J       Date:  2007-11-26       Impact factor: 4.166

Review 8.  Lumbar disc herniation in young children.

Authors:  R Haidar; I Ghanem; S Saad; I Uthman
Journal:  Acta Paediatr       Date:  2010-01       Impact factor: 2.299

9.  Lumbar intervertebral disc degeneration and related factors in Korean firefighters.

Authors:  Tae-Won Jang; Yeon-Soon Ahn; Junsu Byun; Jong-In Lee; Kun-Hyung Kim; Youngki Kim; Han-Soo Song; Chul-Gab Lee; Young-Jun Kwon; Jin-Ha Yoon; Kyoungsook Jeong
Journal:  BMJ Open       Date:  2016-06-28       Impact factor: 2.692

10.  Work-relatedness of lumbosacral radiculopathy syndrome: Review and dose-response meta-analysis.

Authors:  P Paul F M Kuijer; Jos H Verbeek; Andreas Seidler; Rolf Ellegast; Carel T J Hulshof; Monique H W Frings-Dresen; Henk F Van der Molen
Journal:  Neurology       Date:  2018-08-17       Impact factor: 9.910

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  1 in total

1.  Distribution Patterns of Degeneration of the Lumbar Spine in a Cohort of 200 Patients with an Indication for Lumbar MRI.

Authors:  Philipp Näther; Jan Felix Kersten; Ingmar Kaden; Kemal Irga; Albert Nienhaus
Journal:  Int J Environ Res Public Health       Date:  2022-03-21       Impact factor: 3.390

  1 in total

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