CONTENTS — volume 41, no 3, 2015

Published: 01 May 2015

Editorial

219
Work modification as a treatment for low-back pain
Viikari-Juntura E, MacEachen E

Original article

223
Results of a feasibility study: barriers and facilitators in implementing the Sherbrooke model in France
Fassier J-B, Durand M-J, Caillard J-F, Roquelaure Y, Loisel P
234
Patterns of biomechanical demands are associated with musculoskeletal pain in the beginning of professional life: a population-based study
Lourenço S, Araújo F, Severo M, Cunha Miranda L, Carnide F, Lucas R
247
Relationships of neurosensory disorders and reduced work ability to alternative frequency weightings of hand-transmitted vibration
Bovenzi M, Prodi A, Mauro M
259
Primary selection into shift work and change of cardiovascular risk profile
Yong M, Germann C, Lang S, Oberlinner C
268
Developing register-based measures for assessment of working time patterns for epidemiologic studies
Härmä M, Ropponen A, Hakola T, Koskinen A, Vanttola P, Puttonen S, Sallinen M, Salo P, Oksanen T, Pentti J, Vahtera J, Kivimäki M
280
Psychosocial work environment and risk of ischemic stroke and coronary heart disease: a prospective longitudinal study of 75 236 construction workers
Schiöler L, Söderberg M, Rosengren A, Järvholm B, Torén K
288
Enhanced preference for high-fat foods following a simulated night shift
Cain SW, Filtness AJ, Phillips CL, Anderson C

Short communication

294
The international contribution to occupational health research
Ferris M, Hirst A, Sanati NA, Sanati KA

Commentary

299
Recommendations for individual participant data meta-analyses on work stressors and health outcomes: comments on IPD-Work Consortium papers
Choi B, Schnall P, Landsbergis P, Dobson M, Ko S, Gómez-Ortiz V, Juárez-Garcia A, Baker D

Letter to the Editor

312
IPD-Work consortium: pre-defined meta-analyses of individual-participant data strengthen evidence base for a link between psychosocial factors and health
Kivimäki M, Singh-Manoux A, Virtanen M, Ferrie JE, Batty GD, Rugulies R
322
Approaches for predicting long-term sickness absence. Re: Schouten et al. “Screening manual and office workers for risk of long-term sickness absence: cut-off points for the Work Ability Index”
van Amelsvoort LGPM, Jansen NWH, Kant I
324
Re: Amelsvoort et al. “Approaches for predicting long-term sickness absence”
Schouten LS, Joling CI, van der Gulden JWJ, Heymans MW, Bültmann U, Roelen CAM