Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees

Solja T. Nyberg; Marko Elovainio; Jaana Pentti; Philipp Frank; Jenni Ervasti; Mikko Harma; Aki Koskinen; Laura Peutere; Annina Ropponen; Jussi Vahtera; Marianna Virtanen; Jaakko Airaksinen; G. David Batty; Mika Kivimäki

doi:10.5271/sjweh.4124

Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees

Solja T. Nyberg, Marko Elovainio, Jaana Pentti, Philipp Frank, Jenni Ervasti, Mikko Harma, Aki Koskinen, Laura Peutere, Annina Ropponen, Jussi Vahtera, Marianna Virtanen, Jaakko Airaksinen, G. David Batty, Mika Kivimäki

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Tidskrift	Scandinavian Journal of Work, Environment & Health
Volym	49
Nummer	8
Sidor (från-till)	610-620
Antal sidor	11
ISSN	0355-3140
DOI	https://doi.org/10.5271/sjweh.4124
Status	Publicerad - 2023
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

3142 Folkhälsovetenskap, miljö och arbetshälsa

Åtkomst av dokument

10.5271/sjweh.4124

610_620_Nyberg (1)Slutlig publicerad version, 872 KBLicens: CC BY

Citera det här

Nyberg, S. T., Elovainio, M., Pentti, J., Frank, P., Ervasti, J., Harma, M., Koskinen, A., Peutere, L., Ropponen, A., Vahtera, J., Virtanen, M., Airaksinen, J., Batty, G. D., & Kivimäki, M. (2023). Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees. Scandinavian Journal of Work, Environment & Health, 49(8), 610-620. https://doi.org/10.5271/sjweh.4124

@article{5e290e69886f4f9a8cce32b5bb52dfc8,

title = "Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees",

keywords = "Machine learning, Risk prediction, Survey data, 3142 Public health care science, environmental and occupational health",

author = "Nyberg, {Solja T.} and Marko Elovainio and Jaana Pentti and Philipp Frank and Jenni Ervasti and Mikko Harma and Aki Koskinen and Laura Peutere and Annina Ropponen and Jussi Vahtera and Marianna Virtanen and Jaakko Airaksinen and Batty, {G. David} and Mika Kivim{\"a}ki",

year = "2023",

doi = "10.5271/sjweh.4124",

language = "English",

volume = "49",

pages = "610--620",

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

issn = "0355-3140",

publisher = "SCANDINAVIAN JOURNAL WORK ENVIRONMENT & HEALTH",

number = "8",

}

Nyberg, ST , Elovainio, M, Pentti, J, Frank, P, Ervasti, J, Harma, M, Koskinen, A, Peutere, L, Ropponen, A, Vahtera, J, Virtanen, M, Airaksinen, J, Batty, GD & Kivimäki, M 2023, 'Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees', Scandinavian Journal of Work, Environment & Health, vol. 49, nr. 8, s. 610-620. https://doi.org/10.5271/sjweh.4124

Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees. / Nyberg, Solja T.; Elovainio, Marko; Pentti, Jaana et al.
I: Scandinavian Journal of Work, Environment & Health, Vol. 49, Nr. 8, 2023, s. 610-620.

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

TY - JOUR

T1 - Predicting long-term sickness absence with employee questionnaires and administrative records

T2 - a prospective cohort study of hospital employees

AU - Nyberg, Solja T.

AU - Elovainio, Marko

AU - Pentti, Jaana

AU - Frank, Philipp

AU - Ervasti, Jenni

AU - Harma, Mikko

AU - Koskinen, Aki

AU - Peutere, Laura

AU - Ropponen, Annina

AU - Vahtera, Jussi

AU - Virtanen, Marianna

AU - Airaksinen, Jaakko

AU - Batty, G. David

AU - Kivimäki, Mika

PY - 2023

Y1 - 2023

KW - Machine learning

KW - Risk prediction

KW - Survey data

KW - 3142 Public health care science, environmental and occupational health

U2 - 10.5271/sjweh.4124

DO - 10.5271/sjweh.4124

M3 - Article

C2 - 37815247

SN - 0355-3140

VL - 49

SP - 610

EP - 620

JO - Scandinavian Journal of Work, Environment & Health

JF - Scandinavian Journal of Work, Environment & Health

IS - 8

ER -