OBJECTIVE: To prospectively examine arthritis-related productivity losses, work changes, and leaving employment, the relationships among these work transitions, and the factors associated with them. METHODS: Participants with inflammatory arthritis or osteoarthritis were interviewed at 4 time points, 18 months apart, using a structured questionnaire. At baseline (T1), all participants (n = 490; 381 women, 109 men) were employed. At T2, T3, and T4, the sample decreased to 413, 372, and 349 participants, respectively. Respondents were recruited using community advertising and from rheumatology and rehabilitation clinics. Work transitions considered were productivity losses (absenteeism, job disruptions), work changes (reduced hours, changing jobs), and leaving employment. Also measured were demographic, illness, work context, and psychological variables. Generalized estimation equations modeled predictors of work transitions over time. RESULTS: Although 63.1% of respondents remained employed throughout the study, work transitions were common (reported by 76.5% of participants). Productivity losses, especially job disruptions such as being unable to take on extra work, were the most frequently reported. Work transitions were related to subsequently making other work transitions, including leaving employment. Age, sex, education, activity limitations, control, depression, and arthritis-work spillover were also associated with work transitions. CONCLUSION: This study sheds light on a process of diverse employment changes that may occur in the lives of many individuals with arthritis. It emphasizes the interrelationships among work transitions, as well as other factors in predicting work transitions, and it provides insight into work changes that may signal impending difficulties with remaining employed.
OBJECTIVE: To prospectively examine arthritis-related productivity losses, work changes, and leaving employment, the relationships among these work transitions, and the factors associated with them. METHODS:Participants with inflammatory arthritis or osteoarthritis were interviewed at 4 time points, 18 months apart, using a structured questionnaire. At baseline (T1), all participants (n = 490; 381 women, 109 men) were employed. At T2, T3, and T4, the sample decreased to 413, 372, and 349 participants, respectively. Respondents were recruited using community advertising and from rheumatology and rehabilitation clinics. Work transitions considered were productivity losses (absenteeism, job disruptions), work changes (reduced hours, changing jobs), and leaving employment. Also measured were demographic, illness, work context, and psychological variables. Generalized estimation equations modeled predictors of work transitions over time. RESULTS: Although 63.1% of respondents remained employed throughout the study, work transitions were common (reported by 76.5% of participants). Productivity losses, especially job disruptions such as being unable to take on extra work, were the most frequently reported. Work transitions were related to subsequently making other work transitions, including leaving employment. Age, sex, education, activity limitations, control, depression, and arthritis-work spillover were also associated with work transitions. CONCLUSION: This study sheds light on a process of diverse employment changes that may occur in the lives of many individuals with arthritis. It emphasizes the interrelationships among work transitions, as well as other factors in predicting work transitions, and it provides insight into work changes that may signal impending difficulties with remaining employed.
Authors: Deborah J Schofield; Emily J Callander; Rupendra N Shrestha; Megan E Passey; Richard Percival; Simon J Kelly Journal: Rheumatol Int Date: 2014-02-22 Impact factor: 2.631
Authors: Hendrik J Bieleman; Michiel F Reneman; K Wiepke Drossaers-Bakker; Johan W Groothoff; Frits G J Oosterveld Journal: J Occup Rehabil Date: 2013-03
Authors: Maria N Tamborenea; Cecilia Pisoni; Sergio Toloza; Eduardo Mysler; Guillermo Tate; Dora Pereira; M García Carrasco; J Quintero; A Cappuccio; A Granel; M Lazaro; Pablo Arturi; Gustavo Citera; J Velazco Zamora; Veronica Saurit; A Alvarellos; S B Pons Estel; C Danielsen; C Graf; Sergio Paira; F Ceccatto; Javier Cavallasca; E Civit; J Moreno; A Estevez; M Diaz; Marcela Verando; Antonio Catalan Pellet; G Gomez; Pablo Maid; Ana Beron; Gabriela Salvatierra; Marcos Mendez; A Cusa; Oscar Rillo; M Paez; M Larraude; D Sohn; M Gallo; A Conforti; Veronica Malah; Patricio Tate; A Baños Journal: Rheumatol Int Date: 2014-06-20 Impact factor: 2.631
Authors: Philip G Conaghan; Mark Porcheret; Sarah R Kingsbury; Anne Gammon; Ashok Soni; Michael Hurley; Margaret P Rayman; Julie Barlow; Richard G Hull; Jo Cumming; Kate Llewelyn; Federico Moscogiuri; Jane Lyons; Fraser Birrell Journal: Clin Rheumatol Date: 2014-06-03 Impact factor: 2.980
Authors: Deborah J Schofield; Rupendra N Shrestha; Richard Percival; Megan E Passey; Emily J Callander; Simon J Kelly Journal: BMC Public Health Date: 2013-03-03 Impact factor: 3.295