Literature DB >> 28271622

Population-Based Study of Changes in Arthritis Prevalence and Arthritis Risk Factors Over Time: Generational Differences and the Role of Obesity.

Elizabeth M Badley1, Mayilee Canizares1, Anthony V Perruccio2.   

Abstract

OBJECTIVE: To investigate cohort effects in arthritis prevalence across 4 birth cohorts: World War II (born 1935-1944), older and younger baby boomers (born 1945-1954 and 1955-1964, respectively), and Generation X (born 1965-1974), and to determine whether birth cohort effects in arthritis prevalence were associated with differences in risk factors over time or period effects.
METHODS: Analysis of biannually collected data from the longitudinal Canadian National Population Health Survey, 1994-2011 (n = 8,817 at baseline). Data included self-reported arthritis diagnosed by a health professional, risk factors (years of education, household income, smoking, physical activity, sedentary behavior, body mass index [BMI]), and survey year as an indicator of period. We used hierarchical age-period-cohort analyses to compare the age trajectory of arthritis by birth cohort and to examine the contribution of changes in risk factors and period to cohort differences.
RESULTS: More recent cohorts had successively a greater prevalence of arthritis. Risk factors were significantly associated with arthritis prevalence independently of cohort differences. The effects of increasing education and income over time on potentially reducing the arthritis prevalence were almost counter-balanced by effects of increasing BMI. Significant cohort-BMI and age-BMI interactions indicated an earlier age of arthritis onset for obese individuals than those of normal weight.
CONCLUSION: Projections that only take into account the changing age structure of the population may underestimate future trends. Our understanding of the impact of BMI on arthritis is likely an underestimate. Cohort differences focus attention on the need to target arthritis management education to young and middle-aged adults.
© 2017, American College of Rheumatology.

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Mesh:

Year:  2017        PMID: 28271622     DOI: 10.1002/acr.23213

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  5 in total

Review 1.  Brief communication: use of the minimal important difference for a meta-analysis on exercise and anxiety in adults with arthritis.

Authors:  George A Kelley; Kristi S Kelley; Leigh F Callahan
Journal:  Clin Rheumatol       Date:  2018-05-29       Impact factor: 2.980

2.  Updated Estimates Suggest a Much Higher Prevalence of Arthritis in United States Adults Than Previous Ones.

Authors:  S Reza Jafarzadeh; David T Felson
Journal:  Arthritis Rheumatol       Date:  2018-01-03       Impact factor: 10.995

3.  I don't know what type of arthritis I have: A population-based comparison of people with arthritis who knew their specific type and those who didn't.

Authors:  Elizabeth M Badley; Jessica M Wilfong; Christina H Chan; Mayilee Canizares; Anthony V Perruccio
Journal:  PLoS One       Date:  2022-06-21       Impact factor: 3.752

4.  Body mass index and treatment survival in patients with RA starting treatment with TNFα-inhibitors: long-term follow-up in the real-life METEOR registry.

Authors:  Sytske Anne Bergstra; Cornelia F Allaart; David Vega-Morales; Marieke De Buck; Elizabeth Murphy; Karen Salomon Escoto; Tom W J Huizinga
Journal:  RMD Open       Date:  2020-06

5.  Patterns of opioid use (codeine, morphine or meperidine) in the Canadian population over time: analysis of the Longitudinal National Population Health Survey 1994-2011.

Authors:  Mayilee Canizares; J Denise Power; Y Raja Rampersaud; Elizabeth M Badley
Journal:  BMJ Open       Date:  2019-07-24       Impact factor: 2.692

  5 in total

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