Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Race and socioeconomic status are thought to influence the severity of atopic dermatitis (AD), but findings differ between countries and measures used. The role of social determinants of health versus biologic factors in causing these differences is poorly understood.
Objective: We hypothesized that spatially-derived factors correlate with AD severity and patient-reported outcome (PRO) in a pediatric cohort from Chicago, USA.
Methods: Children with AD and caregivers were enrolled from February 2018 to April 2019 in this single-site cross-sectional study. Severity was self- and physician-assessed using validated measures. Patient addresses were geocoded and linked to census tract IDs. Deprivation index (DI) was calculated using variables of the 2018 American Community Survey.
Results: Among 216 children aged 5-17 years old, 111 (51.4%) lived in urban, 104 (48.1%) suburban, and one (0.5%) in rural areas. Race was self-classified as White in 31.0%, Black 24.5%, other or mixed 25.0%, and Asian 19.4%; 24.5% were Hispanic. Median DI was 0.32 (range 0.03-0.72), with higher scores indicating more deprivation. DI correlated with insurance type, family income, ethnicity, race, and parental education, and weakly with selected PRO T-scores. However, no correlations between any AD severity score and DI, race, ethnicity, income, education, or insurance type were found.
Conclusion: The impact of socioeconomic factors on AD severity in our study population was less pronounced than expected. This could be because of regional differences, including access to high-quality care. The role of access as a deciding factor in the impact of socioeconomic status on AD outcome deserves further investigation.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10872729 | PMC |
http://dx.doi.org/10.1111/pde.15455 | DOI Listing |
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