Literature DB >> 1838820

Relationship between the self-assessment and clinical assessment of health status and work ability.

L Eskelinen1, A Kohvakka, T Merisalo, H Hurri, G Wägar.   

Abstract

Clinical assessments of health status and work ability were compared with subjective assessments reported on a questionnaire. The clinical examinations included cardiorespiratory, musculoskeletal, and psychological measurements. The subjective work ability comprised an index based on estimations of work ability in relation to diseases, job demands, and psychological resources. For the clinical examinations 89 male and 85 female workers aged 44-58 years were selected according to health and subjective work ability as reported on the questionnaire. Half of the group was healthy and half suffered from either coronary artery disease (men) or low-back pain (women), and the subjective estimations of work ability varied from good to poor. The results indicated that the questionnaire responses on health and work ability related well with the clinically assessed factors at the group level. Some divergence was detected at the individual level, but it could usually be explained on the basis of the available data.

Entities:  

Mesh:

Year:  1991        PMID: 1838820

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  24 in total

1.  The psychometric properties of an Iranian translation of the Work Ability Index (WAI) questionnaire.

Authors:  M Abdolalizadeh; A A Arastoo; R Ghsemzadeh; A Montazeri; K Ahmadi; A Azizi
Journal:  J Occup Rehabil       Date:  2012-09

2.  Factors associated with changes in perceived strain at work among fire-fighters: a 3-year follow-up study.

Authors:  Sirpa Lusa; Anne Punakallio; Ritva Luukkonen; Veikko Louhevaara
Journal:  Int Arch Occup Environ Health       Date:  2005-12-06       Impact factor: 3.015

3.  Work ability in midlife as a predictor of mortality and disability in later life: a 28-year prospective follow-up study.

Authors:  Mikaela B von Bonsdorff; Jorma Seitsamo; Juhani Ilmarinen; Clas-Håkan Nygård; Monika E von Bonsdorff; Taina Rantanen
Journal:  CMAJ       Date:  2011-01-31       Impact factor: 8.262

4.  A gender approach to work ability and its relationship to professional and domestic work hours among nursing personnel.

Authors:  Lúcia Rotenberg; Luciana Fernandes Portela; Bahby Banks; Rosane Harter Griep; Frida Marina Fischer; Paul Landsbergis
Journal:  Appl Ergon       Date:  2008-04-10       Impact factor: 3.661

5.  Automatically Evaluating Balance: A Machine Learning Approach.

Authors:  Tian Bao; Brooke N Klatt; Susan L Whitney; Kathleen H Sienko; Jenna Wiens
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-04       Impact factor: 3.802

6.  A worksite prevention program for construction workers: design of a randomized controlled trial.

Authors:  Karen M Oude Hengel; Catelijne I Joling; Karin I Proper; Birgitte M Blatter; Paulien M Bongers
Journal:  BMC Public Health       Date:  2010-06-14       Impact factor: 3.295

7.  A one-item workability measure mediates work demands, individual resources and health in the prediction of sickness absence.

Authors:  Sannie Vester Thorsen; Hermann Burr; Finn Diderichsen; Jakob Bue Bjorner
Journal:  Int Arch Occup Environ Health       Date:  2012-08-28       Impact factor: 3.015

Review 8.  Review on the validity of self-report to assess work-related diseases.

Authors:  Annet F Lenderink; Ilona Zoer; Henk F van der Molen; Dick Spreeuwers; Monique H W Frings-Dresen; Frank J H van Dijk
Journal:  Int Arch Occup Environ Health       Date:  2011-06-12       Impact factor: 3.015

9.  The Importance of Lifestyle Factors for Work Ability among Physical Therapists: A Cross-Sectional Study.

Authors:  Yasmin Ezzatvar; Joaquín Calatayud; Lars L Andersen; Adrian Escriche-Escuder; Marta Aguilar; Jose Casaña
Journal:  Int J Environ Res Public Health       Date:  2021-06-22       Impact factor: 3.390

10.  Automatically evaluating balance using machine learning and data from a single inertial measurement unit.

Authors:  Fahad Kamran; Kathryn Harrold; Jonathan Zwier; Wendy Carender; Tian Bao; Kathleen H Sienko; Jenna Wiens
Journal:  J Neuroeng Rehabil       Date:  2021-07-13       Impact factor: 4.262

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