Table 1

Summary of study characteristics

Author dateStudy qualityStudy designSample typeSample characteristicsTenure measureNewest worker groupOutcome domainIndustryCovariates included
D=demographic; W=work place; O=other
Alipour 2008MediumCross-sectionalFirmn=10 813; % males=95.7Time at firm1–6 yearsMSK symptoms or painManufacturingD, W
Bell 2006MediumCohortPopulationn=1430; % males=NRTime at firm<2 monthsBoth acute/traumatic and MSK injuriesAgriculture, forestry, fishingW
Bena 2012MediumCohortPopulationn=NR; % males=NRTime at firm<3 monthsBoth acute/traumatic and MSK injuriesMultiple industriesD, W
Bena 2013HighCohortPopulationn=58 271; % males=NRTime at firm<6 monthsBoth acute/traumatic and MSK injuriesMultiple industriesD, W, O
Boyer 2009MediumCohortFirmn=1468; % males=19.6Time at firm<2 yearsMSK injuries or disordersHealthcareD, W
Breslin and Smith4 HighCohortPopulationn=3 249 316; % males=58.9Time at firm<1 monthStratified analyses of acute/traumatic and MSK injuriesMultiple industriesD, W
Breslin 2007HighLongitudinalPopulationn=360 808 person-months; % males=48.8%Time at firm0–2 monthsWork injuries with Occupational disease/illness includedMultiple industriesD, W
Chau 2004MediumCase–controlClinicaln=2610; % males=100Time at firm35 yearsBoth acute/traumatic and MSK injuriesTransportation and warehousingD, W
Chau et al 3 HighCohortPopulationn=164 814; % male=100Time at firm<1 yearAcute/traumatic injuriesTransportation and warehousingW
Chau 2014HighCohortFirmn=22 952; % male=0Time at firm<1 yearAcute/traumatic injuriesTransportation and warehousingD, W
Cho 2013MediumCross-sectionalPopulationn=3079; % male=5.1Time in industry0–5 yearsAcute/traumatic injuriesHealthcareD, W
Dianat 2014HighCross-sectionalFirmn=180; % male=20Time at firmContinuousMSK symptoms or painManufacturingD, W
Dianat 2015HighCross-sectionalPopulationn=251; % male=60.2Time in industryContinuousMSK symptoms or painManufacturingD, W
Dianat 2016MediumCross-sectionalPopulationn=632; % male=41.1Time in industry1–10 yearsMSK symptoms or painManufacturingD, W
Ei Helaly 2017MediumCross-sectionalFirmn=279; % males=32.6Other ‘mean work duration’ContinuousMSK injuries or disordersProfessional, scientific and technical servicesD, W
Enez 2014MediumCross-sectionalPopulationn=378; % males=100Time in industryContinuousAcute/traumatic injuriesAgriculture, forestry, fishingD, W
Faucett 2013MediumCross-sectionalCommunityn=855; % males=20Time in industry1–2 yearsMSK symptoms or painHealthcareD, W
Ferguson 2012MediumLongitudinalFirmn=277; % males=93.5Time at a particular job≤258 monthsMSK injuries or disordersTransportation and warehousingD, W
Forde 2005HighCross-sectionalPopulationn=981; % male=97.9Time in industry<5 yearsMSK symptoms or painMining, quarrying, and oil and gas extractionD, W
Frone 1998MediumCross-sectionalCommunityn=319; % male=40%Time at firmContinuous measureAcute/traumatic injuriesMultiple industriesD, W
Gardner 1999MediumCohortFirmn=31 076; % male=44.7Time at firm<8 monthsMSK injuriesRetail TradeD, W
Ghaffari 2006MediumCross-sectionalFirmn=10 941; % male=95.9Other ‘work experience'1–5 yearsMSK symptoms or painManufacturingD, W
Hitchens 2010MediumCohortPopulationn=1047; % rides by a male=98.7Time in industry<4 daysAcute/traumatic injuriesHorse racingD, W
June 2011MediumCross-sectionalFirmn=1345; % male=11Time at firm<2 yearsMSK symptoms or painHealthcareD, W
Kaliniene 2013MediumCross-sectionalFirmn=513; % male=NRTime doing computer work1–5 yearsMSK symptoms or painPublic administrationD, W
Karimi 2016MediumCross-sectionalCommunityn=862; % males=27.1Time in industryContinuousMSK symptoms or painManufacturingD, W
Kraus 1997HighCohortFirmn=87 078 000 work hours; % male=67.4Time at firm<1 yearMSK injuries or disordersRetail tradeD, W
Kubo 2013MediumLongitudinalFirmn=13 427; % male=90.1Time at particular job0–12 monthsAcute/traumatic injuriesManufacturingD, W
Lee 2005HighCross-sectionalPopulationn=17 699; % male=58.2Time at firm<1 yearMSK symptoms or painMultiple industriesD, W
Lemasters 1998HighCross-sectionalCommunityn=490; % males=97.8Time in industry<10 yearsMSK injuries or disordersConstructionD, W
Lipscomb 2003HighCohortPopulationn=16 215 carpenters; % males=97.2Time in industry<2 yearsAcute/traumatic injuriesConstructionD, W
Lipscomb 2006MediumCross-sectionalCommunityn=529; % males=95Time in industry<1 year in tradeAcute/traumatic injuriesConstructionW
Merlino 2003HighCross-sectionalPopulationn=996; % males=93.3Time at firm<1.5 yearsMSK symptoms or painConstructionD, W
Morassaei et al 6 HighCohortPopulationn=29 699 252; % males=59Time at firm<1 monthBoth acute/traumatic and MSK injuriesMultiple industriesD, W, O
Nag 2010MediumCross-sectionalCommunityn=516; % males=49Time in industry<10 yearsMSK symptoms or painManufacturingD, W
Nsubuga 2005MediumCross-sectionalFirmn=526; % males=8.9Time in industry<10 yearsAcute/traumatic injuriesHealthcareD, W
Oh 2003HighCross-sectionalPopulationn=30 090; % males=48.7Time in labour market<3 yearsAcute/traumatic injuriesMultiple industriesD, W
Ohlander 2016HighCross-sectionalFirmn=10 722: % males=92Time at a particular job<12 monthsMSK injuries or disordersManufacturingD, W
Pinar 2013MediumCross-sectionalFirmn=955; % males=97.6Time at firm0–10 yearsMSK symptoms or painManufacturingD, W
Roquelaure 2009HighCross-sectionalPopulationn=3710; % males=58.3Time at firm<1 yearMSK disordersMultiple industriesD
Ryu 2014MediumCross-sectionalFirmn=531; % males=0Time in industry0–4 yearsMSK symptoms or painHealthcareD, W
Sahl 1997aHighCohortFirmn=6671; % males=82.1Time at a particular job<1 yearAcute/traumatic injuriesUtilitiesD
Sahl 1997bMediumCohortFirmn=1628; % males=100Time at firm0–6 monthsAcute/traumatic injuriesUtilitiesD
Schoemaker 2000MediumCohortFirmn=7793; % males=100Time at firm<1 yearWork injuries with occupational disease/illness includedManufacturingD, W, O
Schoenfisch 2014HighCohortPopulationn=5073; % males=NRTime in industry<4 yearsAcute/traumatic injuriesConstructionD
Schoenfisch 2017MediumCohortPopulationn=17 106; % male=97.7Time in industry<2 yearsAcute/traumatic injuriesConstructionD, W
Siow 2011HighCohortPopulationn=42 771; % males=11.8Time in industry<6 monthsBoth acute/traumatic and MSK injuriesHealthcareD, W
Strong 2005MediumLongitudinalPopulationn=6294; % males=52.8Time at firmContinuous variableWork injuries with occupational disease/illness includedMultiple industriesD, W, O
Svendsen 2004MediumCross-sectionalPopulationn=1886; % males=100Time in industry0–6 monthsMSK injuries or disordersManufacturing and other servicesD
Xiang 1998MediumLongitudinalPopulationn=402; % males=0Time in industry<5 yearsAcute/traumatic injuriesAgriculture, Forestry, FishingD, W
Yip 2004HighLongitudinalFirmn=144; % males=14.5Time at a particular job<1 yearMSK symptoms or painHealthcareD, W

  • Please refer online supplementary appendix file for full reference details of author lists.

  • MSK, musculoskeletal.