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    Home > Active Ingredient News > Immunology News > J Rheumatol: Link between poverty income ratio and body function in patients with systemic lupus erythematosus

    J Rheumatol: Link between poverty income ratio and body function in patients with systemic lupus erythematosus

    • Last Update: 2020-05-29
    • Source: Internet
    • Author: User
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    The study aims to explore the association between income relative to the poverty threshold (PIR) and self-reporting body function in a systematic lupus patient's queuestudies used cross-sectional data from 744 participants in the Georgia Anti-Lupus Organization (GOAL), while secondary analyses used data from 56 participants in a nested pilot studyThe preliminary analysis used multi-factor linear regression to estimate the association between PIR (classified as 1.00, 1.00-1.99, 2.00-3.99, and .4.00; the lower the PIRs indicate smaller) and the lower body function (PF; sub-score based on table-12; range 0-100, the higher the score represents the better the function)The secondary analysis summarizes the supplementary indicators of somatic function, expressed as the mean or percentage of the PIR (categories are 1.00, 1.00-1.99, and .2.00)overall, the average age of the participants was 48.0 yearsMen accounted for 6.7 per cent and blacks for 80.9 per cent, with 37.5 per cent, 21.0 per cent, 29.6 per cent and 12.0 per cent of participants with PIRs 1.00, 1.00-1.99, 2.00-3.99 and .4.00, respectivelyThe overall average PF score was 45.8 (PIR 1.00, 1.00-1.99, 2.00-3.99, and .4.00 participants, respectively, with scores of 36.2, 40.7, 55.5 and 61.2)Adjusted, PIRs high is still associated with higher PF scores (beta (95% CI)) (2.00-3.99 vs1.00-1.99:10.9 (3.3-18.6); Higher PIRs were also associated with higher scores for objective body performance in secondary analysisthe results suggest that higher incomes from relative poverty thresholds are associated with better physical function in multiple areasTherefore, it is necessary to further study the functional evaluation of multi-components in order to develop personalized treatment plans to improve the socio-economic differences in the prognosis
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