Predicting chronic low-back pain based on pain trajectories in patients in an occupational setting: an exploratory analysis

Guus Panken, Trynke Hoekstra, Arianne Verhagen, Maurits W. van Tulder, Jos Twisk, Martijn W. Heymans

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	520-527
Journal	Scandinavian Journal of Work, Environment and Health
Volume	42
Issue number	6
DOIs	https://doi.org/10.5271/sjweh.3584
Publication status	Published - 2016

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title = "Predicting chronic low-back pain based on pain trajectories in patients in an occupational setting: an exploratory analysis",

keywords = "growth curve analysis, prognostic, prediction model, sick leave",

author = "Guus Panken and Trynke Hoekstra and Arianne Verhagen and {van Tulder}, {Maurits W.} and Jos Twisk and Heymans, {Martijn W.}",

year = "2016",

doi = "10.5271/sjweh.3584",

language = "English",

volume = "42",

pages = "520--527",

journal = "Scandinavian Journal of Work, Environment and Health",

issn = "0355-3140",

publisher = "Finnish Institute of Occupational Health",

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T1 - Predicting chronic low-back pain based on pain trajectories in patients in an occupational setting: an exploratory analysis

AU - Panken, Guus

AU - Hoekstra, Trynke

AU - Verhagen, Arianne

AU - van Tulder, Maurits W.

AU - Twisk, Jos

AU - Heymans, Martijn W.

PY - 2016

Y1 - 2016

KW - growth curve analysis

KW - prognostic

KW - prediction model

KW - sick leave

U2 - 10.5271/sjweh.3584

DO - 10.5271/sjweh.3584

M3 - Article

C2 - 27537989

SN - 0355-3140

VL - 42

SP - 520

EP - 527

JO - Scandinavian Journal of Work, Environment and Health

JF - Scandinavian Journal of Work, Environment and Health

IS - 6

ER -