Arnaud Lardon1, Jean-Daniel Dubois2, Vincent Cantin3, Mathieu Piché4, Martin Descarreaux5. 1. Département des Sciences de l'Activité Physique, Canada; Institut Franco-Européen de Chiropraxie, Paris, France. 2. Département des Sciences de l'Activité Physique, Canada; Département de Psychologie, Canada; Groupe de Recherche sur les Affections Neuro-musculo-squelettiques, Canada; Groupe de Recherche en Cognition, Neurosciences, Affect et Comportement (CogNAC), Université du Québec à Trois-Rivières, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal - CRIUGM, Université de Montréal, Canada. 3. Département des Sciences de l'Activité Physique, Canada; Groupe de Recherche sur les Affections Neuro-musculo-squelettiques, Canada. 4. Département de Chiropratique, Canada; Groupe de Recherche en Cognition, Neurosciences, Affect et Comportement (CogNAC), Université du Québec à Trois-Rivières, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal - CRIUGM, Université de Montréal, Canada. 5. Département des Sciences de l'Activité Physique, Canada; Groupe de Recherche sur les Affections Neuro-musculo-squelettiques, Canada. Electronic address: martin.descarreaux@uqtr.ca.
Abstract
OBJECTIVES: The objective of this study was to identify baseline predictors of disability and absenteeism in workers with a history of non-specific low back pain (LBP). METHODS: One hundred workers with a history of non-specific LBP participated in three evaluations (baseline, 7 and 15 months follow-up). Current and past history of LBP, clinical pain intensity, disability, absenteeism, fear-avoidance beliefs, pain catastrophizing, pain hypervigilance, work satisfaction and patient stratification based on "risk of poor clinical outcome assessment" (RPCO) were evaluated using questionnaires and interviews. In addition, cutaneous heat pain thresholds, cutaneous heat pain tolerance thresholds, conditioned pain modulation (CPM), trunk kinematics and muscle activity were measured during each evaluation. Logistic regression models were used to determine predictors of LBP disability and absenteeism at 15-months. RESULTS: Sixty-eight workers returned for the 15-month follow-up and among this sample, 49% reported disability and 16% reported absenteeism at follow-up. Baseline clinical pain intensity predicted disability (OR = 1.08, 95%CI: 1.03-1.13) at 15-month while work satisfaction (OR = 0.93, 95%CI: 0.87-0.99) and RPCO (OR = 1.51, 95%CI: 1.05-2.16) predicted absenteeism. These results remained significant after adjustments for age, gender as well as type of work and intervention. CONCLUSION: This study highlights the importance of clinical pain and psychological factors in the prediction and potentially the prevention of future disability. Screening tools assessing these risk factors can be useful to evaluate workers with past history of low back pain.
OBJECTIVES: The objective of this study was to identify baseline predictors of disability and absenteeism in workers with a history of non-specific low back pain (LBP). METHODS: One hundred workers with a history of non-specific LBP participated in three evaluations (baseline, 7 and 15 months follow-up). Current and past history of LBP, clinical pain intensity, disability, absenteeism, fear-avoidance beliefs, pain catastrophizing, pain hypervigilance, work satisfaction and patient stratification based on "risk of poor clinical outcome assessment" (RPCO) were evaluated using questionnaires and interviews. In addition, cutaneous heat pain thresholds, cutaneous heat pain tolerance thresholds, conditioned pain modulation (CPM), trunk kinematics and muscle activity were measured during each evaluation. Logistic regression models were used to determine predictors of LBP disability and absenteeism at 15-months. RESULTS: Sixty-eight workers returned for the 15-month follow-up and among this sample, 49% reported disability and 16% reported absenteeism at follow-up. Baseline clinical pain intensity predicted disability (OR = 1.08, 95%CI: 1.03-1.13) at 15-month while work satisfaction (OR = 0.93, 95%CI: 0.87-0.99) and RPCO (OR = 1.51, 95%CI: 1.05-2.16) predicted absenteeism. These results remained significant after adjustments for age, gender as well as type of work and intervention. CONCLUSION: This study highlights the importance of clinical pain and psychological factors in the prediction and potentially the prevention of future disability. Screening tools assessing these risk factors can be useful to evaluate workers with past history of low back pain.
Authors: Israel Macías-Toronjo; José L Sánchez-Ramos; María J Rojas-Ocaña; Esperanza Begoña García-Navarro Journal: Medicina (Kaunas) Date: 2020-11-26 Impact factor: 2.430
Authors: Ann Meulders; Rini Masuy; Lotte Bamelis; Katleen Bogaerts; Bart Depreitere; Kris De Smedt; Jeroen Ceuppens; Bert Lenaert; Sarah Lonneville; Dieter Peuskens; Johan Van Lerbeirghe; Patrick Van Schaeybroeck; Peter Vorlat; Steefka Zijlstra; Johan W S Vlaeyen Journal: BMC Psychol Date: 2022-02-22