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Objective: The aims were to validate linguistically British‐English versions of the Long‐Term Conditions Job Strain Scale (LTCJSS), Long‐Term Conditions Work Spillover Scale (LTCWSS) and Work‐Health‐Personal Life Perceptions Scale (WHPLPS) in rheumatoid arthritis, axial spondyloarthritis, osteoarthritis and fibromyalgia (FM). Methods: The three scales were forward translated and reviewed by an expert panel prior to cognitive debriefing interviews. Participants completed a postal questionnaire. Construct validity was assessed using Rasch analysis. Concurrent validity included testing between the three scales and work (e.g., Workplace Activity Limitations Scale [WALS]) and condition‐specific health scales. Two weeks later, participants were mailed a second questionnaire to measure test‐retest reliability. Results: The questionnaire was completed by 831 employed participants: 68% women, 53.5 (SD 8.9) years of age, with condition duration 7.7 (SD 8.0) years. The LTCJSS, LTCWSS and WHPLPS Parts 1 and 2 satisfied Rasch model requirements, but Part 3 did not. A Rasch transformation scale and Reference Metric equating scales with the WALS were created. Concurrent validity was generally good (rs = 0.41–0.85) for the three scales, except the WHPLPS Part 3. Internal consistency (Person Separation Index values) was consistent with group use in all conditions, and individual use except for the LTCWSS and WHPLSP Parts 1 and 2 in FM. Test‐retest reliability was excellent, with intraclass coefficients (2,1) of 0.80–0.96 for the three scales in the four conditions. Discussion: Reliable, valid versions of the British‐English LTCJSS, LTCWSS and WHPLPS Parts 1 and 2 are now available for use in the UK. [ABSTRACT FROM AUTHOR]

Objectives Chronic conditions and multimorbidity are increasing worldwide. Yet, understanding longitudinal changes in multimorbidity over the lifecourse is limited. We compared the age-trajectory of multimorbidity by birth cohort and examined effects of socio-demographic (e.g. sex, income) and behavioral risk (e.g. obesity) factors in multimorbidity. Methods Using data from the Canadian Longitudinal National Population Health Survey (1994–2010), we examined 10,186 participants born 1925–1974 grouped in 5 birth cohorts. Data on the number of chronic conditions (up to 17), income, education, and behavioral risk factors were collected biannually. We used multilevel logistic growth modeling techniques for analyses of multimorbidity defined as the presence of 2+ chronic conditions versus 1 or none. Results We found significant cohort differences in the age-trajectory of multimorbidity: at corresponding ages, each succeeding recent cohort had higher odds of reporting multimorbidity than their predecessors. Access to healthcare did not fully explain these differences. Women, having lower income, being obese, smoking, and a sedentary lifestyle had increased odds of reporting multimorbidity. Obese individuals, particularly Gen Xers and younger boomers, reported multimorbidity at an earlier age than those of normal weight. We observed divergent trajectories of greater multimorbidity for lower than higher income individuals. Furthermore, after accounting for age and risk factors there was an apparent increase in reporting multimorbidity over time (period effect) across all ages. Discussion Our findings indicate that multimorbidity is not only becoming the norm, but is emerging earlier in the lifecourse and particularly for low income and obese individuals from more recent cohorts. The findings point to the importance of planning interventions and policies to deal with more recent birth cohorts entering into older age with worse health than their predecessors. [ABSTRACT FROM AUTHOR]