Literature DB >> 19006248

Associates of school absenteeism in adolescents with sickle cell disease.

Lisa A Schwartz1, Jerilynn Radcliffe, Lamia P Barakat.   

Abstract

BACKGROUND: Despite high rates of school absenteeism in adolescents with sickle cell disease (SCD), the issue remains understudied. Potential associates of school absenteeism in adolescents with SCD include demographic (age, income), psychosocial (IQ, self-efficacy, competence, internalizing symptoms, negative thinking), and health-related (hemoglobin, health-care utilization, pain, disease knowledge). PROCEDURE: Forty participants ages 12-18 completed measures of psychosocial functioning, IQ, and pain. Medical chart reviews identified other health-related variables. A subsample also completed an assessment of goals. Using school records, absenteeism was the percent of school days missed in the previous year. Correlations tested associates of absenteeism and linear regression tested a model of absenteeism.
RESULTS: Participants missed an average of 12% of the school year and more than 35% missed at least 1 month of school. Health-related and psychosocial variables, but not demographic variables, correlated with absenteeism. Attendance at clinic appointments and parent-reported teen pain frequency were significant associates of absenteeism in the regression model. For those who completed goal assessment, over 40% of goals identified were academically focused. Absenteeism was positively related to current academic goals and health-related hindrance of academic goals, and negatively related to future-oriented academic goals.
CONCLUSIONS: School absenteeism is a significant problem for adolescents with SCD despite the presence of academic goals. Collaboration between schools, parents, patients, and providers to understand and manage the impact of SCD on school attendance is recommended.

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Mesh:

Year:  2009        PMID: 19006248      PMCID: PMC2684846          DOI: 10.1002/pbc.21819

Source DB:  PubMed          Journal:  Pediatr Blood Cancer        ISSN: 1545-5009            Impact factor:   3.167


  17 in total

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