Objective: Examine the influence of household income on health-related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML).
Design: Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States.
Exposure: Household income was self-reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity.
Outcome: Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey.
Result: Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2-20.2). Seven percent of enrolled patients presented with high acuity (ICU-level care in the first 72 h), and 16% had high toxicity (any ICU-level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction.
Conclusions: While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research.
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http://dx.doi.org/10.1002/cam4.6966 | DOI Listing |
J Multimorb Comorb
January 2025
Department of Epidemiology, Brown University, Providence, RI, USA.
Background: Evaluating individual health outcomes does not capture co-morbidities children experience.
Purpose: We aimed to describe profiles of child neurodevelopment and anthropometry and identify their predictors.
Methods: Using data from 501 mother-child pairs (age 3-years) in the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a prospective cohort study, we developed phenotypic profiles by applying latent profile analysis to twelve neurodevelopmental and anthropometric traits.
JTO Clin Res Rep
January 2025
Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Introduction: Thoracic SMARCA4-deficient undifferentiated tumors (SMARCA4-UTs) are a recently defined group of aggressive cancers in which the effectiveness of standard treatments for lung cancer is unknown.
Methods: We collected clinical, pathologic, and demographic variables from five institutions for patients whose tumors met criteria for SMARCA4-UTs (undifferentiated phenotype and loss of SMARCA4 (BRG1) by immunohistochemistry).
Results: We identified 92 patients with SMARCA4-UTs; 58 (63%) had stage IV disease at diagnosis and 16 (17%) developed recurrent or metastatic disease after initial diagnosis.
Digit Health
January 2025
Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China.
Objectives: To achieve a rapid assessment of health literacy (HL) levels among diabetic patients.
Methods: A questionnaire survey was conducted among diabetic patients from nine communities in Nantong City, Jiangsu Province, China, using convenient sampling. Based on the survey results, data from three communities were randomly selected as the test set, with the remaining data used as the training set.
Health Psychol Rev
January 2025
Learning Research Development Center, University of Pittsburgh, Pittsburgh, PA, USA.
Inequalities in the distribution of wealth among families with children may have deleterious health consequences, especially for adolescent children. Marked by significant psychosocial and physiological changes, adolescence is a period when socioeconomic differences in chronic disease risk factors are observed. Unfortunately, research on socioeconomic inequalities in adolescent health has overlooked wealth, focusing instead on differences in health based on household income and parental educational attainment.
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