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Gavin Daigle

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Truchon M, Gilbert-Ouimet M, Zahiriharsini A, Beaulieu M, Daigle G, Langlois L. Occupational Health and Well-being Questionnaire (OHWQ): an instrument to assess psychosocial risk and protective factors in the workplace. Public Health 2022;210:48-57. [PMID: 35870321 DOI: 10.1016/j.puhe.2022.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 05/12/2022] [Accepted: 06/13/2022] [Indexed: 12/17/2022]

Abstract

OBJECTIVES

Psychosocial stressors at work have been identified as significant risk factors for several mental and physical health problems. These stressors must be compensated by psychosocial resources to prevent or reduce adverse effects on health. Questionnaires measuring these stressors and resources already exist, but none integrate digital stress, ethical culture, and psychosocial safety climate; factors that are increasingly linked to workers' health. This study aims to develop and establish the psychometric properties of one of the most comprehensive instruments measuring the psychosocial work environment to date: the Occupational Health and Well-being Questionnaire (OHWQ).

STUDY DESIGN

A cross-sectional validation study is proposed to develop the OHWQ and document its psychometric properties.

METHODS

The OHWQ was developed from validated instruments to which new items were added. The questionnaire includes psychosocial dimensions, along with indicators of psychological distress, musculoskeletal disorders, and well-being. It was administered to a sample of 2770 participants from a population working in the academic field. Exploratory and confirmatory factor analyses and the calculation of Cronbach's α coefficient were used to identify the variables, items, and, dimensions of the OHWQ and to document its main psychometric properties.

RESULTS

The acceptability of the measurement model was evaluated by the reliability of the items, internal consistency between the items, and the convergent and discriminant validity. Construct validity was assessed using exploratory and confirmatory factor analyses. Using factor analyses and cut-off rules, the new instrument has 124 items grouped into 22 dimensions. The OHWQ demonstrated satisfactory reliability and validity, as well as reasonable fit indices. The internal consistency of the scales was also good (Cronbach's α = 0.68-0.96, median = 0.85).

CONCLUSION

The OHWQ demonstrated good psychometric properties. It could be useful for both research purposes and for workplaces interested in developing concrete action plans aimed at improving the balance between psychosocial work stressors and resources.

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Keenan AB, Jenkins SL, Jagodnik KM, Koplev S, He E, Torre D, Wang Z, Dohlman AB, Silverstein MC, Lachmann A, Kuleshov MV, Ma'ayan A, Stathias V, Terryn R, Cooper D, Forlin M, Koleti A, Vidovic D, Chung C, Schürer SC, Vasiliauskas J, Pilarczyk M, Shamsaei B, Fazel M, Ren Y, Niu W, Clark NA, White S, Mahi N, Zhang L, Kouril M, Reichard JF, Sivaganesan S, Medvedovic M, Meller J, Koch RJ, Birtwistle MR, Iyengar R, Sobie EA, Azeloglu EU, Kaye J, Osterloh J, Haston K, Kalra J, Finkbiener S, Li J, Milani P, Adam M, Escalante-Chong R, Sachs K, Lenail A, Ramamoorthy D, Fraenkel E, Daigle G, Hussain U, Coye A, Rothstein J, Sareen D, Ornelas L, Banuelos M, Mandefro B, Ho R, Svendsen CN, Lim RG, Stocksdale J, Casale MS, Thompson TG, Wu J, Thompson LM, Dardov V, Venkatraman V, Matlock A, Van Eyk JE, Jaffe JD, Papanastasiou M, Subramanian A, Golub TR, Erickson SD, Fallahi-Sichani M, Hafner M, Gray NS, Lin JR, Mills CE, Muhlich JL, Niepel M, Shamu CE, Williams EH, Wrobel D, Sorger PK, Heiser LM, Gray JW, Korkola JE, Mills GB, LaBarge M, Feiler HS, Dane MA, Bucher E, Nederlof M, Sudar D, Gross S, Kilburn DF, Smith R, Devlin K, Margolis R, Derr L, Lee A, Pillai A. The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations. Cell Syst 2018;6:13-24. [PMID: 29199020 PMCID: PMC5799026 DOI: 10.1016/j.cels.2017.11.001] [Citation(s) in RCA: 241] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 09/13/2017] [Accepted: 11/01/2017] [Indexed: 12/19/2022]

Affiliation(s)

Alexandra B Keenan BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Sherry L Jenkins BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Kathleen M Jagodnik BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Simon Koplev BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Edward He BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Denis Torre BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Zichen Wang BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Anders B Dohlman BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Moshe C Silverstein BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Alexander Lachmann BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Maxim V Kuleshov BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Avi Ma'ayan BD2K-LINCS DCIC, Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Vasileios Stathias BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Raymond Terryn BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Daniel Cooper BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Michele Forlin BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Amar Koleti BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Dusica Vidovic BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Caty Chung BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Stephan C Schürer BD2K-LINCS DCIC, Department of Molecular and Cellular Pharmacology, University of Miami, Miami, FL 33146, USA
Jouzas Vasiliauskas BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Marcin Pilarczyk BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Behrouz Shamsaei BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Mehdi Fazel BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Yan Ren BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Wen Niu BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Nicholas A Clark BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Shana White BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Naim Mahi BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Lixia Zhang BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Michal Kouril BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
John F Reichard BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Siva Sivaganesan BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Mario Medvedovic BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Jaroslaw Meller BD2K-LINCS DCIC, Department of Environmental Health, University of Cincinnati, Cincinnati, OH 45220, USA
Rick J Koch DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Marc R Birtwistle DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Ravi Iyengar DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Eric A Sobie DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Evren U Azeloglu DToxS, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Julia Kaye NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
Jeannette Osterloh NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
Kelly Haston NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
Jaslin Kalra NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
Steve Finkbiener NeuroLINCS, Gladstone Institute of Neurological Disease and the Departments of Neurology and Physiology, University of California San Francisco, San Francisco, CA 94158, USA
Jonathan Li NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Pamela Milani NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Miriam Adam NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Renan Escalante-Chong NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Karen Sachs NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Alex Lenail NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Divya Ramamoorthy NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Ernest Fraenkel NeuroLINCS, Department of Biological Engineering, MIT, Cambridge, MA 02142, USA
Gavin Daigle NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
Uzma Hussain NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
Alyssa Coye NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
Jeffrey Rothstein NeuroLINCS, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
Dhruv Sareen NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Loren Ornelas NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Maria Banuelos NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Berhan Mandefro NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Ritchie Ho NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Clive N Svendsen NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Ryan G Lim NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Jennifer Stocksdale NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Malcolm S Casale NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Terri G Thompson NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Jie Wu NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Leslie M Thompson NeuroLINCS, Departments of Psychiatry and Human Behavior and Neurobiology and Behavior, University of California Irvine, Irvine, CA 92697, USA
Victoria Dardov NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Vidya Venkatraman NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Andrea Matlock NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Jennifer E Van Eyk NeuroLINCS, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
Jacob D Jaffe LINCS PCCSE, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Malvina Papanastasiou LINCS PCCSE, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Aravind Subramanian LINCS Center for Transcriptomics, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
Todd R Golub LINCS Center for Transcriptomics, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Dana-Farber Cancer Institute, Boston, MA 02215, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Harvard Medical School, Boston, MA 02115, USA
Sean D Erickson HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Mohammad Fallahi-Sichani HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Marc Hafner HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Nathanael S Gray HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Jia-Ren Lin HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Caitlin E Mills HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Jeremy L Muhlich HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Mario Niepel HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Caroline E Shamu HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Elizabeth H Williams HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
David Wrobel HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Peter K Sorger HMS LINCS Center, Harvard Medical School, Boston, MA 02115, USA
Laura M Heiser MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Joe W Gray MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
James E Korkola MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Gordon B Mills MEP-LINCS Center, Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Mark LaBarge MEP-LINCS Center, Department of Population Sciences, Beckman Research Institute at City of Hope, Duarte, CA 91011, USA; MEP-LINCS Center, Center for Cancer Biomarkers Research, University of Bergen, Bergen 5009, Norway
Heidi S Feiler MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Mark A Dane MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Elmar Bucher MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Michel Nederlof MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA; MEP-LINCS Center, Quantitative Imaging Systems LLC, Portland, OR 97239, USA
Damir Sudar MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA; MEP-LINCS Center, Quantitative Imaging Systems LLC, Portland, OR 97239, USA
Sean Gross MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
David F Kilburn MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Rebecca Smith MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Kaylyn Devlin MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA
Ron Margolis NIH, Bethesda, MD 20892, USA
Leslie Derr NIH, Bethesda, MD 20892, USA
Albert Lee NIH, Bethesda, MD 20892, USA
Ajay Pillai NIH, Bethesda, MD 20892, USA

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Hitz J, Daigle G, Petitclerc C, Schiele F, Siest G. Automated quantification of bone and liver alkaline phosphatase isoenzymes of human serum. Clin Chim Acta 1980;107:203-10. [PMID: 7438455 DOI: 10.1016/0009-8981(80)90447-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]