Literature DB >> 25465915

Health measures in prediction models for high sickness absence: single-item self-rated health versus multi-item SF-12.

Corne A M Roelen1, Martijn W Heymans2, Jos W R Twisk2, Mikko Laaksonen3, Ståle Pallesen4, Nils Magerøy5, Bente E Moen6, Bjørn Bjorvatn6.   

Abstract

BACKGROUND: Self-rated health (SRH) has been found to predict sickness absence (SA). The present study investigated the effect of replacing single-item SRH by a multi-item health measure on SA predictions.
METHODS: Longitudinal study of 2059 Norwegian nurses with assessments in three waves each separated by 1 year. Health was measured by single-item SRH and multi-item SF-12 in waves 1 and 2. SA was self-reported in all three waves and high SA was defined as more than or equal to 31 SA days within the last 12 months. Predictions of high SA by a model including age, prior SA and single-item SRH were compared with predictions by a model including age, prior SA and multi-item SF-12. Both models were bootstrapped to correct for over-optimism and prospectively validated for their predictions in a new time frame.
RESULTS: 1253 nurses (61%) had complete data for analysis. The SF-12 model predicted the risk of high SA more accurately (χ(2) = 4.294; df = 8) and was more stable over time than the SRH model (model χ(2) = 14.495; df = 8). Both prediction models correctly discriminated between high-risk and low-risk individuals in 73% of the cases at wave 2 and in 71% of the cases at wave 3.
CONCLUSIONS: The accuracy of predictions increased when single-item SRH was replaced by multi-item SF-12, but the discriminative ability did not improve. Single-item SRH suffices to identify employees at increased risk of high SA.
© The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

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Year:  2014        PMID: 25465915     DOI: 10.1093/eurpub/cku192

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  7 in total

1.  How Working Conditions, Socioeconomic Insecurity, and Behavior-Related Factors Mediate the Association Between Working Poverty and Health in Germany.

Authors:  Timo-Kolja Pförtner; Ibrahim Demirer
Journal:  Int J Public Health       Date:  2022-05-11       Impact factor: 5.100

2.  Self-Rated Health Among Italian Immigrants Living in Norway: A Cross-Sectional Study.

Authors:  Laura Terragni; Alessio Rossi; Monica Miscali; Giovanna Calogiuri
Journal:  Front Public Health       Date:  2022-06-01

3.  Does the Number of Reasons for Seeking Care and Self-Rated Health Predict Sick Leave during the Following 12 Months? A Prospective, Longitudinal Study in Swedish Primary Health Care.

Authors:  Kristin Lork; Kristina Holmgren; Jenny Hultqvist
Journal:  Int J Environ Res Public Health       Date:  2021-12-30       Impact factor: 3.390

4.  Health Inequality Analysis in Europe: Exploring the Potential of the EQ-5D as Outcome.

Authors:  Inge Spronk; Juanita A Haagsma; Erica I Lubetkin; Suzanne Polinder; M F Janssen; G J Bonsel
Journal:  Front Public Health       Date:  2021-11-04

5.  Vitamin D Status and Quality of Life in Healthy Male High-Tech Employees.

Authors:  Sigal Tepper; Yael Dabush; Danit R Shahar; Ronit Endevelt; Diklah Geva; Sofia Ish-Shalom
Journal:  Nutrients       Date:  2016-06-15       Impact factor: 5.717

6.  Self-reported health problems in a health risk appraisal predict permanent work disability: a prospective cohort study of 22,023 employees from different sectors in Finland with up to 6-year follow-up.

Authors:  Minna Pihlajamäki; Jukka Uitti; Heikki Arola; Mikko Korhonen; Tapio Nummi; Simo Taimela
Journal:  Int Arch Occup Environ Health       Date:  2019-11-30       Impact factor: 3.015

7.  Social media use as a predictor of handwashing during a pandemic: evidence from COVID-19 in Malaysia.

Authors:  Stephen X Zhang; Lorenz Graf-Vlachy; Kim Hoe Looi; Rui Su; Jizhen Li
Journal:  Epidemiol Infect       Date:  2020-10-23       Impact factor: 2.451

  7 in total

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