학술논문
Independent associations of childhood and current socioeconomic status with risk of self-reported doctor-diagnosed arthritis in a family-medicine cohort of North-Carolinians
Document Type
Report
Source
BMC Musculoskeletal Disorders. November 20, 2013, Vol. 14 Issue 1
Subject
Language
English
ISSN
1471-2474
Abstract
Author(s): Antoine R Baldassari[sup.1] , Rebecca J Cleveland[sup.1] and Leigh F Callahan[sup.1,2] Background Arthritis encompasses a diverse family of chronic disorders of uncertain etiology, characterized by inflammatory pain and joint [...]
Background Associations of socioeconomic status (SES) with the prevalence of various forms of arthritis are well documented. Increasing evidence suggests that SES during childhood is a lasting determinant of health, but its association with the onset of arthritis remains unclear. Methods Cross-sectional data on 1276 participants originated from 22 family practices in North-Carolina, USA. We created 4-level (high, medium, low, lowest) current SES and childhood SES summary scores based on parental and participant education, occupation and homeownership. We investigated associations of individual SES characteristics, summary scores and SES trajectories (e.g. high/low) with self-reported arthritis in logistic regression models progressively adjusted for race and gender, age, then BMI, and clustered by family practice. Results We found evidence for independent associations of both childhood and current SES with the reporting of arthritis across our models. In covariate-adjusted models simultaneously including current and childhood SES, compared with high SES participants in the lowest childhood SES category (OR = 1.39 [95% CI = 1.04, 1.85]) and those in the low (OR = 1.66 [95% CI = 1.14, 2.42]) and lowest (OR = 2.08 [95% CI = 1.16, 3.74]) categories of current SES had significantly greater odds of having self-reported arthritis. Conclusions Current SES and childhood SES are both associated with the odds of reporting arthritis within this primary-care population, although the possibly superseding influence of existing circumstances must be noted. BMI was a likely mechanism in the association of childhood SES with arthritis onset, and research is needed to elucidate further pathways linking the socioeconomic environment across life-stages and the development of rheumatic diseases. Keywords: Arthritis, Lifecourse, SES, Health disparities
Background Associations of socioeconomic status (SES) with the prevalence of various forms of arthritis are well documented. Increasing evidence suggests that SES during childhood is a lasting determinant of health, but its association with the onset of arthritis remains unclear. Methods Cross-sectional data on 1276 participants originated from 22 family practices in North-Carolina, USA. We created 4-level (high, medium, low, lowest) current SES and childhood SES summary scores based on parental and participant education, occupation and homeownership. We investigated associations of individual SES characteristics, summary scores and SES trajectories (e.g. high/low) with self-reported arthritis in logistic regression models progressively adjusted for race and gender, age, then BMI, and clustered by family practice. Results We found evidence for independent associations of both childhood and current SES with the reporting of arthritis across our models. In covariate-adjusted models simultaneously including current and childhood SES, compared with high SES participants in the lowest childhood SES category (OR = 1.39 [95% CI = 1.04, 1.85]) and those in the low (OR = 1.66 [95% CI = 1.14, 2.42]) and lowest (OR = 2.08 [95% CI = 1.16, 3.74]) categories of current SES had significantly greater odds of having self-reported arthritis. Conclusions Current SES and childhood SES are both associated with the odds of reporting arthritis within this primary-care population, although the possibly superseding influence of existing circumstances must be noted. BMI was a likely mechanism in the association of childhood SES with arthritis onset, and research is needed to elucidate further pathways linking the socioeconomic environment across life-stages and the development of rheumatic diseases. Keywords: Arthritis, Lifecourse, SES, Health disparities