Monique A. M. Gignac

Determinants of self rated health for Canadians with chronic disease and disability.

OBJECTIVE: To identify the factors associated with self rated health of people with and without chronic health conditions or long term disability. SETTING: Canadian household population. DESIGN: Analysis of 1994/95 National Population Health Survey interview data with 13,995 respondents aged 20 years and older. Determinants of poor and good compared with excellent health were examined using multivariate nominal logistic regression. Factors included in the analyses were illness related (chronic disease, long and short-term disability, and pain) demographic, lifestyle (smoking, physical activity, drinking), and social psychological resources (mastery, chronic stress, distress, self esteem, and social support). RESULTS: Illness related variables were associated with poor health, with smaller but significant contributions from demographic and lifestyle factors. Psychological resources, especially high mastery and self esteem, are associated with better health in those with chronic conditions or disability. CONCLUSION: The determinants of self rated health for people with chronic illness and disability make the greatest contribution to the findings for the overall population.

A longitudinal study to explain the pain-depression link in older adults with osteoarthritis.

To evaluate whether osteoarthritis (OA) pain determines depressed mood, taking into consideration fatigue and disability and controlling for other factors.

The indirect costs of arthritis resulting from unemployment, reduced performance, and occupational changes while at work.

Objective:The objective of this study was to assess the cost attributable to lost productivity from arthritis and the association between the degree of loss and demographic, disease-related, occupational, and psychosocial variables for people. Methods:In a prospective study, 383 employed individuals with arthritis were recruited from southwestern Ontario, Canada. Respondents completed structured questionnaires assessing demographic, disease-related, workplace, and psychosocial variables as well as employment-related transitions at 2 time points 18 months apart. Indirect costs resulting from arthritis-related absences, reduced performance, decreased work hours, job change, and work disability were estimated. A proportional odds model was used to assess the impact of the various variables on lost productivity. Results:The average cost attributable to arthritis was CAN

Which Patients Are Most Likely to Benefit From Total Joint Arthroplasty

11,553 (

Reliability, validity, and responsiveness of five at‐work productivity measures in patients with rheumatoid arthritis or osteoarthritis

CAN = 0.75

A conceptual model of independence and dependence for adults with chronic physical illness and disability

US) per person per year. The largest component of the loss was the result of reduced performance at work, which accounted for 41% (

Productivity loss due to presenteeism among patients with arthritis: estimates from 4 instruments.

4724) of the total loss. This was followed by wage loss resulting from stopping working or changing jobs, which comprised 37% (

Stroke family caregivers’ support needs change across the care continuum: a qualitative study using the timing it right framework

4309) of the total. Another 12% (

Exploring the role of contextual factors in disability models

1398) and 10% (

Arthritis-related work transitions: a prospective analysis of reported productivity losses, work changes, and leaving the labor force.

1121) of the loss were the result of the decrease in hours of work and absenteeism, respectively. Four variables were associated with the productivity loss: greater symptom severity (odds ratio [OR] = 1.11), low or medium control over the work schedule (OR = 0.55 and 0.60, respectively), greater workspace limitation (OR = 1.10), and higher depression (OR = 1.04). Conclusions:Indirect arthritis-related costs are substantial. Our results show that not only the disease itself, but also psychosocial and work-related factors affect the magnitude of the costs.