Literature DB >> 30762317

Men and Women's Occupational Activities and the Risk of Developing Osteoarthritis of the Knee, Hip, or Hands: A Systematic Review and Recommendations for Future Research.

Monique A M Gignac1, Emma Irvin2, Kim Cullen3, Dwayne Van Eerd2, Dorcas E Beaton2, Quenby Mahood2, Chris McLeod4, Catherine L Backman5.   

Abstract

OBJECTIVE: To systematically review the evidence for an increased risk of osteoarthritis in the hip, knee, hand, wrist, finger, ankle, foot, shoulder, neck, and spine related to diverse occupational activities of men and women and to examine dose-response information related to the frequency, intensity, and duration of work exposures and the risk of osteoarthritis (OA).
METHODS: Established guidelines for systematic reviews in occupational health and safety studies were followed. MEDLINE, Embase, CINAHL, and Cochrane Library were searched from inception to December 2017. Studies were reviewed for relevance, quality was appraised, and data were extracted and synthesized.
RESULTS: Sixty-nine studies from 23 countries yielded strong and moderate evidence for lifting, cumulative physical loads, full-body vibration, and kneeling/squatting/bending as increasing the risks of developing OA in men and women. Strong and moderate evidence existed for no increased risk of OA related to sitting, standing, and walking (hip and knee OA), lifting and carrying (knee OA), climbing ladders (knee OA), driving (knee OA), and highly repetitive tasks (hand OA). Variability in dose-response data resulted in an inability to synthesize these data.
CONCLUSION: Evidence points to the potential for OA occupational recommendations and practice considerations to be developed for women and men. However, research attention is needed to overcome deficits in the measurement and recall of specific work activities so that recommendations and practice considerations can provide the specificity needed to be adopted in workplaces.
© 2019 The Authors. Arthritis Care & Research published by Wiley Periodicals, Inc. on behalf of American College of Rheumatology.

Entities:  

Year:  2020        PMID: 30762317      PMCID: PMC7065017          DOI: 10.1002/acr.23855

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


INTRODUCTION

Osteoarthritis (OA) ranks among the top 10 causes of disability world‐wide and is associated with significant pain, stiffness, fatigue, and activity limitations 1, 2, 3, 4, 5. Although medical treatment often occurs in later stages of the disease, early intervention is increasingly recognized as a critical unmet need. One domain of importance for education and intervention is the workplace. To date, numerous studies have examined the relationship of physically demanding occupations like farming, mining, and floor laying, as well as work activities like kneeling, squatting, and heavy lifting to the onset of OA 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16. A synthesis of 69 studies from 23 countries yielded strong and moderate evidence for lifting, cumulative physical loads, full‐body vibration, and kneeling/squatting/bending as increasing the risks of developing osteoarthritis (OA) in men and women. Strong and moderate evidence existed for no increased risk of OA related to sitting, standing and walking (hip and knee OA), lifting and carrying (knee OA), climbing ladders (knee OA), driving (knee OA), and highly repetitive tasks (hand OA). Greater attention is needed to improve measures assessing employment activities and recall periods. A lack of consistency in dose‐response information makes synthesizing data problematic and hinders practical recommendations. Also creating impetus for greater attention to the workplace is the aging of workforces and policy changes in many countries that push for longer employment trajectories 17, 18, 19. A longer work life increases the duration of exposure to work activities that may create risks for OA development. Older workers also may be at greater risk for workplace musculoskeletal injuries than younger workers 20, which can increase the likelihood of developing OA 21. As a result, workplace regulators and insurers are increasingly seeking guidance, not only about specific types of work activities that may be problematic, but also about dose‐response thresholds that can illuminate the frequency, intensity, and duration of job activities and their association with the development of OA. To date, few jurisdictions provide work disability compensation for job activities that may have resulted in OA disability 22. A focus on specific activity types (e.g., squatting), as opposed to broad occupational categories (e.g., farming) and dose‐response information is needed by regulators to make informed decisions. By going beyond occupational categories and identifying job activities and dose‐response thresholds that may increase the risk for OA, we can inform occupational health and safety practices focused on earlier recognition of problematic work activities and the development of new strategies and interventions to prevent occupationally related OA. We can also identify subgroups of workers who may be particularly vulnerable to occupationally related OA. For example, some studies report sex (i.e., biologic) differences related to the development of OA in some joints (e.g., knees, hands), while others report gender effects (i.e., differences in social roles) related to the occupations of women and men that may signal differences in the likelihood of developing OA 23, 24, 25, 26. However, assessing sex/gender differences in OA development has been hampered by less available data from women 27. Several excellent reviews of the literature have examined occupational factors and OA 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 27. Most have focused on knees or hips, with less attention to other joints, differences between men and women, and dose‐response data. The synthesized evidence has often been limited or moderate. To update and better target the available information, this systematic review focused on specific occupational activities and their relationship to OA of the hip, knee, hand, wrist, finger, ankle, foot, shoulder, neck, and spine. We synthesized study findings for men and women separately where possible and examined dose‐response information to identify potential thresholds related to the frequency, intensity, and duration of work exposures and the associated risk of developing OA.

Search strategy and relevance

We followed established guidelines for systematic reviews in occupational health and safety studies 28, 29. Search terms were developed iteratively in consultation with a librarian, content area experts, and stakeholders. We searched MEDLINE, Embase, CINAHL, and Cochrane Library from inception to December 31, 2017. All English, peer‐reviewed literature was included. The complete list of terms is shown in Supplementary Table 1, available on the Arthritis Care & Research web site at http://onlinelibrary.wiley.com/doi/10.1002/acr.23855/abstract. References were managed using DistillerSR software 30, which enables screening, quality appraisal, and data extraction of study material. Articles were included if the research was about OA and if OA was distinguishable from other conditions and diagnosed by a clinician (including self‐report of a clinician diagnosis), if the research focused on paid employment activities and their potential impact on the development of OA, and if it was an original quantitative research study. In keeping with previous reviews on this topic, we included longitudinal, observational, cohort, cross‐sectional case–control, and intervention studies. Where possible, we extracted data separately for men and women. All authors participated in the review. Titles and abstracts were screened by a single reviewer after all reviewers came to a consensus on a set of titles and abstracts. Subsequently, the remaining full‐text articles were screened using inclusion/exclusion criteria, with 2 authors independently reviewing each article and coming to a consensus. If a consensus could not be reached, a third author was consulted.

Quality appraisal

Relevant articles were appraised for their reported methodologic quality using 17 criteria, assessing the study design and objectives, sample/recruitment, study characteristics, outcomes, and analyses (see Supplementary Table 2, available on the Arthritis Care & Research web site at http://onlinelibrary.wiley.com/doi/10.1002/acr.23855/abstract). Scores were calculated based on previous research that developed weighted criteria for each question (1 = somewhat important, 2 = important, and 3 = very important) 31. Studies scoring ≥85% in quality were ranked as high quality. Studies scoring between 50% and 84% were classified as medium quality and scores of <50% were deemed lower quality 31. Only medium‐ and high‐quality studies were synthesized.

Data extraction and evidence synthesis

Standardized forms were used for data extraction. We documented sample sizes, the direction and significance of the relationship between work exposures and an OA diagnosis, and information about potential covariates. Data were sorted by the anatomical joint affected by OA. Evidence synthesis considered the quality, quantity, and consistency of findings (Table 1). A strong level of evidence reflects the potential for making recommendations and consists of a minimum of 3 high‐quality studies that agree in their findings. A moderate level of evidence (a minimum of 2 high‐quality studies or 2 medium‐quality studies plus 1 high‐quality study) points to possible practice considerations. For evidence scored lower than moderate, we lack evidence to guide policies or practices. This consideration does not mean that work exposures were not significantly associated with OA, only that evidence was insufficient to draw conclusions.
Table 1

Evidence synthesis algorithma

Level of evidenceMinimum qualityb Minimum quantityConsistencyStrength of message
StrongH33H agree; if ≥3 studies, ≥3/4 of the M + H agreeRecommendations
ModerateM2H or 2M + 1H2H agree or 2M + 1H agree; if ≥3, ≥2/3 of the M + H agreePractice considerations
Limited M1H or 2M or 1M + 1H2 (M and/or H) agree; if ≥2, >1/2 of the M + H agreeNot enough evidence to make recommendations or practice considerations
Mixed M2Findings are contradictoryNot enough evidence to make recommendations or practice considerations
Insufficientc Not enough evidence to make recommendations or practice considerations

H = high; M = medium.

High = score >85% in quality assessment; medium = score ranges from 50% to 84% in quality assessment.

Medium quality studies that do not meet the above criteria.

Evidence synthesis algorithma H = high; M = medium. High = score >85% in quality assessment; medium = score ranges from 50% to 84% in quality assessment. Medium quality studies that do not meet the above criteria. Due to the heterogeneity of outcome measures, study designs, and reported data, we did not calculate pooled effect estimates. If a study stratified the analyses by men and women separately and combined them, we only synthesized the stratified analyses. If a study did not stratify analyses by sex, the combined data were synthesized. There are no standardized criteria in the OA and work literature to evaluate dose‐response levels. Hence, we extracted all dosage levels and reviewed the data for minimum thresholds where findings were associated with increased risks of OA versus no effect.

RESULTS

A total of 4,134 references were identified after removing duplicates (Figure 1). Relevance screening excluded 3,701 articles after title and abstract review and a further 321 articles upon full article review. Excluded studies often focused on OA's impact on work (e.g., absenteeism, productivity loss), the work of health care professionals managing OA, and the development of OA in working animals (e.g., dogs, horses). Quality appraisal was conducted on the resultant 112 articles, and data were synthesized from 69 unique studies appraised as medium quality (n = 30) or high quality (n = 39) in their reported methods.
Figure 1

Summary of literature search.

Summary of literature search. Study characteristics are shown in Table 2. Research originated in 23 countries, with two‐thirds of studies (65.2%) comprising samples of >500 respondents. Studies examined OA in knees (n = 41), hips (n = 28), wrists/hands/fingers (n = 14), spine (n = 6), shoulder (n = 5), ankles/feet/toes (n = 4), necks (n = 3), and elbows (n = 3). Study designs included retrospective cohorts (n = 10), prospective cohorts (n = 14), case–control studies (n = 22), and cross‐sectional studies (n = 23). Samples were drawn from census, tax, or disability records (n = 38), surgical wait lists/hospital charts (n = 15), community advertising (n = 4), and occupational groups (e.g., dock workers) (n = 12).
Table 2

Summary of study characteristicsa

First author, year (ref.)CountryStudy design (quality)Sample typeJoints with OAOA diagnosisIndustryWork activitiesWork historySample (no., % male, mean ± SD age [when given] years)
Allen, 2010 32 USCross‐sectional (M)Comm.Hip, kneeRadiograph, otherMultipleWalking, lifting, carrying, moving objects, sitting, standing, bending, twisting, reaching, kneeling, squatting, climbing, crawling, crouching, heavy work while standingWork lifetimeTotal: n = 2,729, 34.2%, 63.3
Amin, 2008 33 USRetrospective cohort (M)Clin.KneeACR diagnostic criteriaMultipleSquatting, kneeling, heavy liftingWork lifetimeOcc. 1 (heavy lifting): n = 40, 100%, 69 ± 9; occ. 2 (squatting/kneeling, heavy lifting): n = 47, 100%, 64 ± 9; occ. 3 (neither 1 or 2): n = 98, 100%, 70 ± 9
Andersen, 2012 23 DenmarkRetrospective cohort (M)Pop.Hip, kneeICD codesMultipleOcc. typeWork lifetimeTotal: n = 2,117,298, 48.0%, 38
Anderson, 1988 34 USCross‐sectional (M)Pop.KneeRadiographMultipleBendingNot describedTotal: n = 315, 30%, age not reported
Apold, 2014 35 NorwayProspective cohort (H)Pop.KneeOtherMultipleSedentary, moderate, intermediate, or heavy work>10 yearsTotal: n = 315,495, 48.7%, 58.8 ± 7.1
Armenis, 2011 36 GreeceCase–control (M)Occ.Ankle/foot/toesRadiograph, clinical examSportSoccer activities>5–10 yearsOA group: n = 170, sex not reported, 49.8 ± 7.4; non‐OA group: n = 132, sex not provided, 50.7 ± 9.9
Badve, 2010 37 IndiaCross‐sectional (M)Occ.NeckClinical exam, otherSales/service/hospitalityCarrying loads on the head>2–5 yearsOA group: n = 107, 100%, 32.6; non‐OA group: n = 107, 100%, 34.6
Bernard, 2010 26 USCross‐sectional (H)Comm.Knee, wrists, hands, fingers, ankle, foot/toes, neckRadiographUnknownStair climbing, standing, walking, squatting, kneeling, jolting, lifting, carrying, jumpingWork lifetimeTotal: n = 3,548, 30.9%, 63.4 ± 10.9
Bovenzi, 1980 38 ItalyCross‐sectional (H)Occ.MultipleRadiograph, clinical examConstruction Vibration activitiesWork lifetimeOcc. 1 (exposed to vibration): n = 169, 100%, 40.7; occ. 2 (not exposed to vibration): n = 60, 100%, 34.8
Bovenzi, 1987 39 ItalyRetrospective cohort (M)Occ.MultipleRadiograph, clinical examManufacturingOccupational groupsNot describedOA group: n = 67, sex not reported, 39.6 ± 7.3; non‐OA group: n = 46, sex not reported, 39.6 ± 7.2
Cleveland, 2013 40 USCross‐sectional (M)Comm.HipRadiograph, clinical examMultipleKneeling, squatting, lifting, walking, sitting, standing, driving, climbingNot describedTotal: n = 3,087, 43.2%, 62.7 ± 9.9
Coggon, 2000 41 UKCase–control (H)Clin.KneeRadiographMultipleKneeling, squatting, lifting, walking, sitting, standing, driving, climbingWork lifetimeOA group: n = 518, 40%, age not reported; non‐OA group: n = 518, 40%, age not reported
Cooper, 1994 42 UKCase–control (H)Pop.KneeRadiograph, self‐ reported diagnosisMultipleSquatting, kneeling, climbing, lifting, walking, standing, sitting, drivingWork lifetimeOA group: n = 102, 29%, 72.7; non‐OA group: n = 218, sex and age not reported
Cvijetic, 1999 43 CroatiaCross‐sectional (M)Comm.HipRadiographMultiplePhysical strain related to sitting, standing, walking, lifting>10 yearsTotal: n = 590, 49.5%, 62.4 ± 10.3
Dahaghin, 2009 44 IranCase–control (H)Pop.KneeACR diagnostic criteriaMultipleStanding, walking on flat ground, walking up/downhill, sitting on floor, sitting on chair, squatting, knee bending, cycling, climbing stairs, carrying loadsWork lifetimeOA group: n = 480, 30.2%, 57 ± 12; non‐OA group: n = 490, 35.9%, 46.8 ± 15
D'Souza, 2008 45 USCross‐sectional (M)Pop.KneeRadiographMultipleSitting, standing, walking, running, carrying, lifting, kneeling, squatting, stooping, crawling, working in cramped spaces>5–10 yearsOA group: n = 314, 39.1%, 72.4; non‐OA group: n = 966, 51.1%, 69.6
Ezzat, 2013 13 CanadaCross‐sectional (H)Pop.KneeRadiograph, otherMultiplePhysical loads, knee bending, kneelingWork lifetimeOA group: n = 109, 43.1%, 63.6 ± 9.6; non‐OA group: n = 218, 53.8%, 55.9 ± 10.7
Felson, 1991 46 USProspective cohort (H)Pop.KneeRadiographMultipleKnee bending, physical demandsNot describedTotal: n = 1,376, 41%, 73
Franklin, 2010 47 IcelandCase–control (H)Clin.Hip, kneeOtherMultipleOccupational groupsWork lifetimeOA group: n = 1,408, 40.9%, 74.25; non‐OA group: n = 1,082, 45.3%, 70.5
Goekoop, 2011 48 NetherlandsProspective cohort (M)Pop.MultipleRadiographUnknownStanding, walking, lifting, operating heavy machinery, bending, kneelingNot describedOA group: n = 82, 32.9%, 90.4; non‐OA group: n = 175, 23.4%, 90.6
Haara, 2003 49 FinlandRetrospective cohort (H)Pop.Wrists/hands/fingersRadiographMultipleLifting, carrying, awkward work postures (stooping, twisted), vibration equipment, repetitive movement, paced workWork lifetimeTotal: n = 3,595, 43%, age not reported
Haara, 2004 50 FinlandProspective cohort (M)Pop.Wrists/hands/fingersRadiograph, clinical examMultipleLifting, carrying, vibration equipment, awkward work posturesNot describedTotal: n = 7,217, sex and age not reported
Holte, 2000 51 NorwayProspective cohort (H)Pop.MultipleICD codesUnknownManual labor>10 yearsTotal: n = 276,385, 39%, age not reported
Jacobsen, 2004 52 DenmarkCross‐sectional (H)Pop.HipRadiographMultipleSitting, standing, walking, daily lifting levelsWork lifetimeTotal: n = 3,686, 38%, 61.5
Jacobsen, 2005 53 DenmarkCross‐sectional (M)Pop.HipRadiographMultipleLiftingWork lifetimeTotal: n = 3,568, 62.5%, 61
Jacobsson, 1987 54 SwedenCross‐sectional (M)Clin.HipClinical exam, otherMultipleHeavy labor, lifting, walking, standing, tractor driving, occupational groupsWork lifetimeOA group: n = 236, 100%, 78.8; non‐OA group: n = 106, 100%, 77.8
Jarvholm, 2004 55 SwedenProspective cohort (M)Pop.HipICD codesConstruction Whole body vibration from heavy vehicles>10 yearsOA group: n = 5,643, 100%, age not reported; non‐OA group: n = 64,225, 100%, age not reported
Jarvholm, 2008 56 SwedenProspective cohort (M)Occ.MultipleICD codes, otherConstruction Diverse construction occupationsWork lifetimeOA group: n = 204,731, 100%, age not reported; non‐OA group: n = 9,136, sex and age not reported
Jensen, 2005 57 DenmarkCross‐sectional (H)Occ.KneeRadiographConstruction Kneeling, squatting>10 yearsOcc. 1 (floor layers): n = 798, 100%, age not reported; occ. 2 (carpenters): n = 798, 100%, age not reported; occ. 3 (compositors): n = 500, 100%, age not reported
Jensen, 2012 58 DenmarkCross‐sectional (M)Pop.KneeRadiograph, MRIMultipleKneelingNot describedOcc. 1 (floor layers): n = 92, 100%, 54.5 ± 7.2; occ. 2 (graphic designers): n = 49, 100%, 57.7 ± 5.6
Jones, 2002 59 AustraliaCross‐sectional (H)Admin.Wrists/hands/fingersRadiograph, otherMultipleHigh impact hand activities>10 yearsTotal: n = 522, 33%, 53–57
Kaerlev, 2008 60 DenmarkProspective cohort (M)Pop.Hip, kneeICD codesFishing and seafaringFishing and seafaring activitiesWork lifetimeOcc. 1 (fishermen): n = 4,410, 100%, 37.2 ± 9.8; occ. 2 (seamen non‐officers): n = 4,845, 100%, 35.0 ± 11.1; occ. 3 (seamen officers): n = 4,774, 100%, 40.2 ± 10.0
Kaila‐Kangas, 2011 24 FinlandCross‐sectional (H)Pop.HipRadiograph, clinical examMultipleLifting, carrying, pushing heavy loadsWork lifetimeOA group: n = 129, sex and age not reported; non‐OA group: n = 6,427, sex and age not reported
Karkkainen, 2013 61 FinlandProspective cohort (H)Pop.MultipleICD codes, otherMultipleSitting, standing, walking, lifting, carrying, heavy labor>10 yearsTotal: n = 176, 50.8%, 41.8 ± 8.9
Klussman, 2010 62 GermanyCase–control (H)Pop.KneeRadiograph, otherMultipleKneeling, squatting, sitting, standing, walking, climbing stairs, jumping, lifting, carryingWork lifetimeOA group: n = 739, 41%, 58.5 ± 10.5; non‐OA group: n = 571, 47%, 52.8 ± 12.3
Kujala, 1995 63 FinlandRetrospective cohort (H)Pop.KneeRadiograph, clinical examSportPrevious kneeling, squatting, heavy workWork lifetimeOcc. 1 (Olympic long distance runners): n = 28, 100%, 59.7 ± 4.7; occ. 2 (Olympic soccer players): n = 31, 100%, 56.5 ± 5.1; occ. 3 (Olympic weight lifters): n = 29, 100%, 59.3 ± 5.3
Lindberg, 1984 64 SwedenRetrospective cohort (M)Pop.HipRadiographMultipleHeavy laborWork lifetimeOA group: n = 332, 100%, 66 ± 5; non‐OA group: n = 790, 100%, 64.4 ± 4
Manninen, 2002 65 FinlandCase–control (H)Pop.KneeOtherMultipleWalking, lifting, driving, standing, climbing, kneeling, squattingWork lifetimeOA group: n = 281, 20%, 68.4 ± 5.5; non‐OA group: n = 524, 27%, 67.1 ± 5.6
Martin, 2013 66 UKProspective cohort (H)Pop.KneeACR diagnostic criteriaMultipleKneeling, squatting, lifting, walking, climbing ladders or stairs, sitting>10 yearsTotal: n = 302, 36.1%, 53
Mounach, 2008 67 MoroccoCase–control (M)Clin.KneeRadiographMultipleStanding, sitting, climbing stairs, kneeling, squatting, walking, heavy lifting≥12 months to 2 yearsOA group: n = 95, 27.4%, 59.7 ± 8.5; non‐OA group: n = 95, 27.4%, 60.0 ± 8.5
Muraki, 2009 68 JapanProspective cohort (H)Pop.Knee, spineRadiographMultipleSitting on a chair, kneeling, squatting, standing, walking, climbing, heavy liftingWork lifetimeTotal: n = 1,471, 36%, 68.4 ± 9.2
Muraki, 2011 25 JapanProspective cohort (H)Pop.KneeRadiographMultipleSitting on a chair, kneeling, squatting, standing, walking, climbing, heavy liftingWork lifetimeTotal: n = 1,402, 36.5%, 68.2 ± 9.2
Nakamura, 1993 69 JapanCross‐sectional (M)Occ.Wrists/hands/fingersRadiographMultipleCooking activities (e.g., food washing, chopping)>10 yearsOcc. 1 (elementary school cook): n = 260, sex not reported, 49.3; occ. 2 (preschool cook): n = 222, sex not reported, 47.2; occ. 3 (municipal employee): n = 298, sex not reported, 48.7
Olsen, 1994 70 SwedenCase–control (H)Pop.HipOtherMultiplePhysical workloadWork lifetimeOA group: n = 233, 100%, age not reported; non‐OA group: n = 322, 100%, age not reported
Ozturk, 2008 71 TurkeyCase–control (M)Occ.SpineRadiographMultipleSoccer activities>10 yearsOcc. (soccer players): n = 70, 100%, 45.6 ± 8.4; control group: n = 59, 100%, 46.0 ± 9.4
Ratzlaff, 2011 72 CanadaProspective cohort (M)Pop.HipACR diagnostic criteria, clinical exam, self‐reported diagnosisMultipleCumulative peak force index (lifetime physical load)Work lifetimeTotal: n = 2,918, sex and age not reported
Ratzlaff, 2012 73 CanadaCross‐sectional (M)Pop.KneeACR diagnostic criteria, clinical exam, self‐reported diagnosisMultipleCumulative peak force index (lifetime physical load)Work lifetimeTotal: n = 4,269, 37%, 60.0 ± 11.1
Roach, 1994 74 USCase–control (H)Clin.HipRadiographMultipleLight work standing, sitting, heavy work standing, kneeling, crouching, walkingWork lifetimeOA group: n = 99, 100%, 69.3; non‐OA group: n = 233, 100%, 63.4
Rossignol, 2003 75 FranceCross‐sectional (M)Clin.MultipleClinical examMultipleOccupational groupsNot describedTotal: n = 10,412, 33.8%, 66.2 ± 10.2
Rossignol, 2005 76 FranceCross‐sectional (M)Clin.MultipleClinical examMultipleOccupational groupsWork lifetimeTotal: n = 2,834, 58%, 61.8 ± 9.3
Rubak, 2013 77 DenmarkRetrospective cohort (H)Pop.HipICD codesMultipleCumulative physical workload (lifting, vibration, standing, walking)Work lifetimeTotal: n = 1,910,493, 52.9%, 49.1 ± 10.5
Rubak, 2014 78 DenmarkCase–control (H)Pop.HipOtherMultipleLifting, standing, walking, sitting, kneeling, squatting, whole body vibrationWork lifetimeTotal: n = 3,552, 51.5%, 64.9
Sahlstrom, 1997 79 SwedenCase–control (M)Clin.KneeRadiographMultipleLight work (sitting, walking, carrying), medium (lifting and carrying, climbing stairs or ladders), heavy (light and medium plus jumping with and without carrying)Work lifetimeOA group: n = 266, sex and age not reported; non‐OA group: n = 463, sex and age not reported
Sairanen, 1981 80 FinlandCase–control (H)Occ.MultipleRadiograph, clinical examForestryTree felling activitiesWork lifetimeOA group: n = 226, 100%, 42; non‐OA group: n = 98, 100%, 42
Sandmark, 2000 81 SwedenCase–control (H)Pop.KneeOtherMultipleLifting, jumping, vibration, squatting, knee bending, kneeling, standing, sitting, climbingWork lifetimeOA group: n = 625, 52%, age not provided; non‐OA group: n = 548, 48.2%, age unknown
Seidler, 2001 82 GermanyCase–control (H)Clin.SpineRadiographMultipleLow, medium, high lifting and carrying, forward bending, whole body vibrationWork lifetimeOA group: n = 94, 100%, 48.4 ± 10.1; non‐OA group 1: n = 107, 100%, 43.1 ± 10.3; non‐OA group 2: n = 90, 100%, 39.7 ± 10.6
Seidler, 2012 83 GermanyCase–control (H)Clin.KneeRadiographMultipleKneeling, squatting, lifting, carryingWork lifetimeOA group: n = 295, 100%, age not reported; non‐OA group: n = 327, 100%, age not reported
Seok, 2017 84 KoreaCross‐sectional (H)Pop.Knees/hipsRadiographMultipleOccupational groupsWork lifetimeTotal: n = 9,905, 45%, all participants age ≥50 years
Solovieva, 2006 85 FinlandCross‐sectional (M)Occ.Wrists/hands/fingersRadiographHealthDentistry‐related manual hand tasksWork lifetimeOcc. 1 (dentists with variable tasks): n = 96, sex not reported, 52 ± 5.0; occ. 2 (dentists who perform restorative treatment 50% of time; perform prosthodontics 50% of time): n = 64, sex not reported, 54 ± 6.0; occ. 3 (dentists who perform restorative treatments): n = 64, sex not reported, 54 ± 6.0
Stenlund, 1992 86 SwedenCross‐sectional (H)Occ.ShoulderRadiographConstruction Vibration, liftingWork lifetimeOcc. 1 (rock blasters): n = 55, sex not reported, 51.8 ± 11.6; occ. 2 (bricklayers): n = 54, sex not reported, 50.2 ± 11.4; occ. 3 (foremen): n = 98, sex not reported, 45.8 ± 10.2
Thelin, 1997 87 SwedenCase–control (H)Clin.HipRadiographMultipleHeavy physical work, machine work, occupational groupsWork lifetimeOA group: n = 216, 100%, age not reported; non‐OA group: n = 479, 100%, age not reported
Toivanen, 2010 21 FinlandProspective cohort (H)Pop.KneeRadiograph, clinical examMultipleCategories of light, sedentary work through to heavy manual workNot describedTotal: n = 823, 45%, 41.6 ± 8.3
Verrijdt, 2017 88 BelgiumRetrospective cohort (M)Occ.ThumbRadiograph, clinical examBanknote processingHand activities related to banknote countingJob role and production rateTotal: n = 195, 34%, 52.9
Vingard, 1991 89 SwedenRetrospective cohort (H)Pop.MultipleICD codesMultipleHigh physical workload occupational groups>10 yearsOA group: n = 135,015, 54%, age not reported; non‐OA group: n = 115,202, 46%, age not reported
Vingard, 1997 90 SwedenCase–control (H)Pop.HipOtherMultipleSitting, standing, heavy lifting, jumping, twisting positions, stair climbingWork lifetimeTotal: n = 503, sex not reported, 63
Vrezas, 2010 91 GermanyCase–control (H)Clin.KneeRadiographMultipleKneeling, squatting, lifting, carrying, vibration, postureWork lifetimeOA group: n = 295, 100%, age not reported; non‐OA group: n = 327, 100%, age not reported
Yoshimura, 2004 92 JapanCase–control (H)Admin. recordsKneeRadiograph, clinical examMultipleStanding, sitting, climbing stairs, kneeling, squatting, driving, walking, heavy liftingWork lifetimeOA group: n = 101, sex not reported, 73.3 ± 9.8; non‐OA group: n = 101, sex not reported, 73.3 ± 9.8
Yoshimura, 2006 93 JapanCase–control (H)Pop.KneeRadiograph, clinical examMultipleStanding, sitting, climbing stairs, kneeling, squatting, driving, walking, heavy liftingWork lifetimeOA group: n = 37, 100%, 70.0 ± 6.6; non‐OA group: n = 37, 100%, 70.1 ± 7.0
Zhang, 2013 94 ChinaCross‐sectional (M)Pop.KneeRadiograph, ACR diagnostic criteriaMultipleUnderground work historyNot describedOA group: n = 983, 45.3%, age not reported; non‐OA group: n = 6,143, 51.5%, age not reported

(M) = medium quality; (H) = high quality; Admin. = administrative records; Comm. = community; Clin. = clinical; Occ. = occupational categories; Pop. = population; ACR = American College of Rheumatology; ICD = International Classification of Diseases; OA = osteoarthritis.

Summary of study characteristicsa (M) = medium quality; (H) = high quality; Admin. = administrative records; Comm. = community; Clin. = clinical; Occ. = occupational categories; Pop. = population; ACR = American College of Rheumatology; ICD = International Classification of Diseases; OA = osteoarthritis.

Measurement of OA

Assessment of OA was rated as valid and reliable in 97% of the studies, with many studies using multiple methods to determine OA (e.g., radiographic evidence and clinical examination). OA was measured using radiographic evidence in 65% of studies (n = 45; Kellgren/Lawrence grade 2 or greater), and in 24.6% of studies clinical examinations were used (n = 17) 95. Other methods of assessing OA were World Health Organization categories from the International Classification of Diseases, eighth/ninth/tenth revisions (n = 8), American College of Rheumatology diagnostic criteria (n = 6), self‐report of a clinician diagnosis (n = 4), and magnetic resonance imaging (n = 2).

Measurement of work

Three‐quarters of studies included workers from multiple industries (n = 51), and the majority (85.5%; n = 59) asked about the duration of work activities. Overall, 70% of studies provided a reasonable description of work activities (n = 48). However, many studies classified duration as work “lifetime” (62%; n = 43), which lacked specificity (e.g., ≥10 years at a job activity). Moreover, a wide range of work activities were combined with other activities (e.g., kneeling/squatting/bending). As a result, only 55% of work history measures were appraised as reliable and valid.

Potential covariates

Nearly all studies included ≥1 covariate, commonly age, sex, body mass index (BMI), or smoking, and many studies included multiple covariates. Hip and knee studies often controlled for previous injury and other sport or physical leisure activities. Covariates were typically controlled for in statistical analyses, but no data were available for extraction.

Data extraction and synthesis

Data were synthesized for hips, knees, wrists/hands/fingers, and spines, and for studies that combined multiple joints. There were too few studies to synthesize findings for necks, ankles/feet/toes, shoulders, and elbows. Table 3 shows a summary of work activities associated with strong and moderate evidence for OA development in the knees and hips among men and women. Evidence was sometimes contradictory, depending on how an activity was measured. For example, when studies labeled their exposure as kneeling, squatting, and bending, there was strong evidence for a risk of developing knee OA in both men and women. Yet studies that examined kneeling separately found strong evidence for no increased risk of knee OA in both men and women. Squatting examined separately resulted in strong evidence for no increased risk of knee OA in men and a moderate level of evidence for no increased risk of knee OA in women. Overall, this finding meant that when we combined all studies that variously measured kneeling, squatting, or bending in some form, there was a moderate level of evidence for the development of knee OA among men only.
Table 3

Summary of strong and moderate evidence for work activities and risk of developing osteoarthritis (OA)a

Evidence level: work activities (references)MenWomen
Strong evidence: increased risk of OA
Lifting 24, 32, 40, 43, 48, 52, 53, 54, 61, 77, 78, 90 HipHip
Kneeling, squatting, bending (13,25,32,33 41,42,44,45,48,57,62,63,65–68,81,83, 91–93)KneeKnee
Heavy physical demands 13, 21, 35, 46, 61, 63, 79, 89 Knee
Moderate evidence: increased risk of OA
Vibration 38, 55, 77, 78 Hip
Cumulative physical load 70, 72, 77 Hip
Kneeling, squatting, and/or knee bending (all studies combined) 13, 25, 32, 33, 34, 41, 42, 44, 45, 48, 57, 62, 63, 65, 66, 67, 68, 81, 83, 91, 92, 93 Knee
Strong evidence: no increased risk of OA
Sitting, standing, walking 32, 40, 43, 48, 52, 54, 61, 74, 78, 90, 92 Hip
Kneeling 13, 25, 32, 33, 34, 41, 42, 44, 45, 48, 57, 62, 63, 65, 66, 67, 68, 81, 83, 91, 92, 93 KneeKnee
Squatting 13, 25, 32, 33, 34, 41, 42, 44, 45, 48, 57, 62, 63, 65, 66, 67, 68, 81, 83, 91, 92, 93 Knee
Climbing stairs/ladders 25, 26, 32, 41, 42, 44, 62, 65, 66, 68, 81, 92 Knee
Moderate evidence: no increased risk of OA
Sitting, standing, walking 25, 26, 32, 41, 42, 44, 45, 48, 61, 62, 65, 66, 67, 68, 81, 92, 93 KneeKnee
Squatting 25, 32, 33, 41, 42, 44, 45, 57, 62, 63, 67, 68, 83 Knee
Lifting, carrying 25, 32, 41, 44, 45, 48, 61, 62, 65, 66, 67, 68, 81, 83, 91, 92, 93 Knee
Driving 65, 92, 93 KneeKnee

References identify literature relevant to a category (e.g., lifting). The level of evidence is based on the totality of findings across relevant studies in that category and does not reflect the findings of an individual study.

Summary of strong and moderate evidence for work activities and risk of developing osteoarthritis (OA)a References identify literature relevant to a category (e.g., lifting). The level of evidence is based on the totality of findings across relevant studies in that category and does not reflect the findings of an individual study. Lifting was associated with strong evidence of developing hip OA in both men and women, and vibration activities and cumulative physical workloads were associated with a moderate level of evidence for hip OA among men. Findings differed for knee OA, with lifting and carrying being associated with a moderate level of evidence for no increased risk of knee OA in women. Strong and moderate levels of evidence for no increased risk of knee or hip OA also were found for some work activities. There was strong evidence for no increased risk of hip OA in men related to sitting, standing, or walking activities, and moderate evidence for no increased risk of knee OA in men and women for these activities. There was also strong evidence for no increased risk of knee OA in women related to climbing stairs or ladders, and a moderate level of evidence for no increased risk of knee OA related to driving as an occupational activity in men or women. For all other work activities, evidence was limited, mixed, or insufficient. Among men, this lack included insufficient evidence for jumping being associated with either hip or knee OA, lifting having a limited association with knee OA, and heavy physical demands yielding mixed evidence for knee OA. Among women there was insufficient evidence linking jumping and vibration activities to hip OA and mixed evidence for cumulative physical loads and sitting, standing, and walking being associated with hip OA. There was also insufficient evidence linking jumping and cumulative physical load to knee OA. Studies examining OA of the hand or spine, and studies that combined joints, mostly did not analyze data for men and women separately. In these studies men and women were combined and the evidence for highly repetitive hand tasks was moderate for no effect of these tasks on the development of wrist/hand/finger OA. Evidence was insufficient for work activities described as “jolting” of the hands. For men and women combined, evidence was mixed for lifting activities related to developing OA in the spine. Evidence was also mixed for physically demanding work related to developing OA in multiple joints. Evidence was insufficient in studies examining OA in multiple joints and work tasks related to sitting, standing, and lifting/carrying.

Dose‐response data

To further illuminate the findings, particularly variable and contradictory evidence, we extracted dose‐response information from the studies and examined them for thresholds that might link to an increased risk of OA (Table 4). Currently, there are no standardized dose‐response criteria available to evaluate the relationship of work exposures to OA. This absence was reflected in the highly diverse and often unique criteria used across studies. Examples include dose levels related to frequency (e.g., daily), intensity (e.g., lifting >25 kg; number of stairs climbed), duration (e.g., >2 hours per day, 10 years or more), and total amount (e.g., lifetime kneeling >3,500 hours). In some cases, dose levels were combined (e.g., >80% of time in nonsitting positions AND frequent walking and lifting). In general, the data were too diverse and too few studies used similar dose‐response exposure measures for any synthesis. However, measures of frequency were most common. Studies that used a measure of ≥1 hour/day spent at an activity across multiple years, or a minimum of 3,542 hours spent at an activity, were often linked to an increased risk of developing OA in the knee or hip, particularly related to kneeling, squatting, and bending. Studies that provided qualitative descriptors to assess dose levels (e.g., heavy lifting or a great deal of the time) often reported no significant effects. Table 4 summarizes examples of the doses used in studies for knees and hips related to different job activities.
Table 4

Summary of dose‐response categories by joints and work activities

Hips
Lifting
>20 kg at least 10 times/day: from 1–12 years, 13–24 years, >25 years
Heavy lifting (comparison not specified in 2 studies; 1 study compared high and medium versus low)
Tons lifted: high and medium versus low
No. of lifts >40 kg: high and medium number of lifts versus low
Ton years: 0 versus >0–9, 10–19, 20–115/86 (men: upper value of 115; women: upper value of 86)
Daily lifting equivalent: a) 50 lifts × 20 kg OR 20 lifts × 50 kg; b) 50–100 lifts × 20 kg OR 20–50 lifts × 50 kg; c) 200–500 lifts × 20 kg OR 100–250 lifts × 50 kg
Standing/sitting/walking
>80% of time sitting
>80% of time standing
Frequent walking, but low strain and light lifting up to 5 kg
Sitting: high versus low
Stairs climbed: high versus medium versus low
Standing years: 0, >0–9, 10–19, 20–29
Jumping
Number of jumps; low, medium, high
Vibration
Machine operator versus tractor in agriculture, forestry machine, dumper, etc.
Much tractor driving
Heavy equipment operation
Whole‐body vibration (ever versus never)
Cumulative physical workload
Heavy work before age 16 years
>80% of work nonsitting, frequent walking, lifting heavy objects (with some analyses including years worked)
Cumulative physical workload (based on an industry exposure matrix with scores of 0–4, 5–14, 15–24, 25–34, 35–86)
Cumulative peak force index
Knees
Sitting/standing/walking
Percent of day (e.g., 22–32%, 32–54%, >54%)
Time per day: ≥2 hours per day
Time per day: ≥3 hours per day
Time per day: floor and chair separately 1–2 hours/day, 2–3 hours/day, >3 hours/day
Unspecified intensity: medium and high
Lifetime hours: <16,032 hours, 16,032–33,119 hours, >33,119 hours
Likelihood of sitting: unlikely and highly likely versus somewhat likely
Distance: ≥3 km/day
Distance: ≥2 km/day
Distance: >2 miles/day for 1–9 years, 10–19 years, ≥20 years
Time: flat ground 1–2 hours, 2–3 hours, >3 hours plus up or downhill >30 minutes/day
Kneeling/squatting/bending
Percentage of day: 4–7%, 8–13%, >14% of workday
Time: ≥1 hour/day
Time: >30 minutes
Likelihood: unlikely and highly likely versus somewhat likely
Unspecified intensity: high exposure
Qualitative intensity: medium plus heavy bending
Qualitative intensity: sedentary or light, medium, heavy, very heavy
Amount: none, some, much
Qualitative intensity plus load: kneeling/squatting with heavy lifting
Lifetime/cumulative hours: <3,542, 3,542–8,934, 8,934–12,244, >12,244
Lifetime/cumulative hours: <4,757, >4,757, >4,757 with body mass index >24.92
Lifetime/cumulative hours: 0 to <870 hours, 870 to <4,757, 4,757 to <10,800, ≥10,800
Time per day: <2 hours/day, >2 hours/day, time/day plus duration: >1 hour/day plus: 1–9.9 years, 10–19.9 years, >20 years
Getting up from kneeling/squatting
Frequency: >30 times/day
Frequency plus duration: >30 times/day: 1–9.9 years; 10–19.9 years; >20 years
Lifting/carrying
Qualitative intensity: heavy lifting
Qualitative intensity: high exposure
Qualitative intensity: medium, high
Frequency: unlikely, somewhat likely, highly likely
Amount: weights >25 kg on an average day
Amount: 2–4 kg/day, >4 kg/day
Amount plus frequency: ≥10 kg at least once/week
Amount plus frequency (plus duration): ≥10 kg >10 times/week, ≥25 kg >10 times/week, ≥50 kg >10 times/week; all categories repeated with: 1–9.9 years, 10–19.9 years, ≥20 years
Percentage of day: 4–7% of day, 8–19% of day, >20% of day
Cumulative lifting by hours: 0 to <630 kg × hours, 630 to <5,120 kg × hours, 5,120 to <37,000 kg × hours, ≥37,000 kg × hours
Cumulative hours: <5,120, >5,120, >5,120 with body mass index ≥24.92
Cumulative weights: <1,088 tons/life, ≥1,088 tons/life
Climbing
Time/day: ≥1 hour/day
Episodes plus episodes with duration: >30 times/day, >30 times/day for 1–9.9 years, 10–19.9 years, ≥20 years
Qualitative intensity: medium; high
Qualitative intensity: high exposure
Amount, no. of flights: 3–5 stories, 5–10 stories, >10 stories
Amount, no. of flights: >10 flights/day
Amount, no. of stairs: ≥50 steps/day
Driving
Time/day: >4 hours/day
Qualitative intensity: medium, high level
Physically demanding
Qualitative intensity: sedentary, light, medium, heavy, very heavy
Jumping
No. of jumps
Cumulative physical loads
Cumulative occupational physical load: data in quintiles
Occupational cumulative peak force index: data in quintiles
Hands
Total hours exposed
Banknotes/bank sheets counted manually or electromechanical (e.g., 15,000–25,000), stacking banknotes, preparation of packages
Summary of dose‐response categories by joints and work activities

DISCUSSION

This is the first systematic review to include a wide range of joints affected by OA. By also examining sex and extracting information on work exposures, we more comprehensively addressed the impact of specific occupational activities on the risk of developing OA and illuminated key gaps in research and measurement. Data synthesis yielded several work activities with strong or moderate evidence for the development of OA in hips and knees. However, the absence of clear dose‐response information and contradictory findings limits the ability to provide workplaces and legislators with the specificity they need to implement recommendations and considerations. Moreover, there remains mixed or insufficient evidence related to work and OA of the hands, spine, and multiple joints, and too few studies exist to synthesize information on other joints affected by OA. Continued evidence is needed for these joints to refine measures and generate data. Across men and women, strong or moderate evidence emerged for knee OA when combining kneeling, squatting, and bending activities. Yet there was no effect when squatting and kneeling were examined individually. This diversity in findings has been noted previously 7, 14, 27, and it highlights the need for attention to measurement, including whether compartmentalizing or differentiating among knee bending tasks accurately reflects real‐world work conditions in the frequency and duration of knee bending, and whether knee bending occurs in conjunction with lifting heavy loads 7, 16, 27. Some jurisdictions are trying to address these issues and have identified minimum thresholds for frequency and duration of kneeling related to work compensation claims 22, but in the absence of detailed evidence, thresholds are set high. In men, strong evidence emerged for hip OA risk related to lifting, and moderate evidence exists for cumulative physical loads and full‐body vibration. This level of evidence is novel and warrants attention for worker awareness and prevention efforts. Previous research has speculated about loads and prolonged vibration in occupations like farming. By focusing on specific activities (e.g., driving a tractor), this review provides greater specificity of evidence and directions for moving forward. However, a lack of clarity related to dose‐response levels linking full‐body vibration to an increased risk for hip OA limits current practice recommendations. Many studies used vague descriptors (e.g., never versus ever; much tractor driving). Greater precision and specificity of measures is needed in future research. Among women, fewer occupational activities reached levels for strong or moderate evidence, likely due to fewer available studies 9, 11, 27 and traditional differences in the types of occupations and levels of physical demands in the work undertaken by women compared to men. However, similar to men, there was strong evidence for an increased risk of hip OA in women related to lifting. This is the first systematic review to have examined lifting activities separately for women, and it underscores the need for greater attention to this aspect of work and its impact among women. Of interest was strong and moderate evidence for a lack of association among several activities and increased risks of hip, knee, or hand OA. These included sitting, standing, and walking (hip and knee OA), lifting and carrying (knee OA), climbing ladders (knee OA), driving (knee OA), and highly repetitive tasks (hand OA). There are many reasons why studies yield null effects, suggesting caution in drawing conclusions. Moreover, although not a high priority in developing OA, activities like prolonged sedentary behavior are linked to morbidity and mortality for other health conditions 96. Our quality appraisal identified several constraints and limitations to study designs and measurement. Most research used case–control or cross‐sectional designs, with few longitudinal studies and no interventions. This methodology is likely, because of the prolonged time at a job that is needed before joint strain or damage would develop and lead to OA or become symptomatic. We can expect more longitudinal research in the future, given that many countries have established large, longitudinal OA cohorts. However, most cohorts have clinical treatment foci. In the current literature, we found that generally, the assessment of OA used valid and reliable methods, including standardized clinical and radiographic assessments. Many studies also controlled for a range of covariates (e.g., BMI, injuries, sports activities). Measures to assess employment activities and recall periods were problematic. Only approximately half of work exposures were rated as both valid and reliable, with exposures examining lower‐extremity OA being of better quality than those for upper‐extremity OA. For example, nearly two‐thirds of studies asked participants to recollect their occupation or activity levels over their entire work history. There is a potential for recall bias across all methods of collecting work history, which is a limitation of most of the studies reviewed. Currently, we have little evidence for the validity of long‐term recall assessments, which may be more appropriate for measuring occupation type (e.g., are you a farmer?) but less reliable for specific activities (e.g., do you engage in lifting activities?). Additional efforts are needed in research to help improve recall and work measurement, potentially through guided recall techniques, sensor technology, video assessment of work tasks, and longitudinal designs with repeated work activity measures that assess activities and the duration, frequency, and intensity of those activities. A different bias that needs addressing in future research is a potential healthy worker effect. Specifically, some workers who develop joint problems (e.g., pain, stiffness) may give up their jobs prematurely. This phenomenon may result in a healthier or genetically different sample of workers who remain working in jobs that are thought to cause risks for OA than those who leave these occupations. This result can mask the impact of some work activities on OA in the population at large, leading to the conclusion either that some activities are not related to the development of OA or that damage occurs slowly and over a significantly longer period 97. This possibility highlights the complexity surrounding work and OA and the need for additional information about job tenure and work changes, as well as longitudinal data to assess work history and joint symptoms. As noted, our extraction of data included dose‐response information. These data highlighted a lack of consistency that made synthesizing data impossible. For example, lifting was measured in terms of differing levels of frequency, duration, intensity, lifetime composite levels, and combinations of doses. A similar difficulty arose for kneeling, squatting, and bending activities. Studies not only had differing dose‐response data, but variously combined activities (e.g., kneeling alone; kneeling and squatting). Moreover, concerns about knee damage have started to change the nature of work in some occupations. Kneeling devices exist to help offset knee damage and a variety of practices have been put into place with recommendations and strategies to change knee activity patterns. To date, few studies ask about assistive devices or gadgets to ameliorate the impact of activities on OA. Additional research is needed with greater precision of dose‐response information aimed at frequency, intensity, and duration of activities, as well as in gathering other relevant information like the use of assistive devices, work cessation, and job turnover related to specific job activities. In conclusion, a synthesis of 69 studies from 23 countries yielded several work activities with strong and moderate evidence for increasing the risks of developing OA in men and women. These include lifting, cumulative physical loads, full‐body vibration, and kneeling/squatting/bending combined. The levels of evidence point to the potential for recommendations and practice considerations to be developed and that those can be tailored for women and men. However, in going forward, additional attention is needed to overcome study deficits, particularly in the measurement and recall of work activities, so that recommendations and practice considerations can provide the specificity needed to be adopted in workplaces.

AUTHOR CONTRIBUTIONS

All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication. Dr. Gignac had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study conception and design

Gignac, Irvin, Cullen, Van Eerd, Beaton, Mahood, McLeod, Backman.

Acquisition of data

Gignac, Irvin, Cullen, Mahood.

Analysis and interpretation of data

Gignac, Irvin, Cullen, Van Eerd, Beaton, Mahood, McLeod, Backman. Click here for additional data file.
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