Kim Christopher H, Gee Kevin A, Byrd Robert S
Department of Pediatrics, University of California Davis Health (Christopher H. Kim, Robert S. Byrd), Sacramento, Calif.
University of California Davis School of Education (Kevin A. Gee), Davis, Calif.
Acad Pediatr. 2020 Sep-Oct;20(7):950-957. doi: 10.1016/j.acap.2019.12.003. Epub 2019 Dec 16.
Previous studies of asthma-related school absenteeism have reported absenteeism dichotomously (ie, any school days missed vs none). However, schools use higher thresholds to identify and intervene for students at risk of chronic absenteeism (18 days or ≥10% schoolyear missed), which is associated with negative health and educational outcomes. We sought to identify factors associated with excessive absenteeism (EA) due to asthma (≥9 days missed), a threshold based on a convention defined by Attendance Works for absenteeism risk, and is linked to decreased academic performance and increased risk of chronic absenteeism.
We examined responses for asthma-related absenteeism from the 2011 to 2014 California Health Interview Survey for children ages 5-11. Multivariate logistic regression modeled odds ratios of EA for demographic, healthcare utilization, and asthma-related factors. Sensitivity analysis was performed modeling a ≥1 threshold (any absenteeism).
715 respondents represent an estimated 314,200 California schoolchildren with asthma. 50.3% of students missed ≥1 day, and 11.7% missed ≥9 days of school due to asthma. Odds of EA were significantly higher for younger children, lower-income families, and rural students, but not significant for any absenteeism. Indicators of greater asthma severity and poorer control were significantly associated with both EA and any absenteeism.
This study identified factors significantly associated with EA that were not significant for lower absence thresholds. This may help direct school-based asthma interventions for which limited resources must target students at higher risk of chronic absenteeism.
以往关于哮喘相关学校缺勤的研究将缺勤情况二分法报道(即,错过任何上学日与未错过)。然而,学校使用更高的阈值来识别和干预有长期缺勤风险的学生(缺勤18天或≥学年的10%),这与负面的健康和教育结果相关。我们试图确定与因哮喘导致的过度缺勤(EA,缺勤≥9天)相关的因素,该阈值基于出勤工作组织为缺勤风险定义的惯例,并且与学业成绩下降和长期缺勤风险增加有关。
我们检查了2011年至2014年加利福尼亚健康访谈调查中5至11岁儿童与哮喘相关的缺勤回答。多变量逻辑回归对人口统计学、医疗保健利用和哮喘相关因素的EA比值比进行建模。进行敏感性分析,对≥1天的阈值(任何缺勤情况)进行建模。
715名受访者代表了加利福尼亚州约314,200名患有哮喘的学童。50.3%的学生缺勤≥1天,11.7%的学生因哮喘缺勤≥9天。年幼儿童、低收入家庭和农村学生的EA几率显著更高,但对于任何缺勤情况则不显著。哮喘严重程度更高和控制更差的指标与EA和任何缺勤情况均显著相关。
本研究确定了与EA显著相关的因素,而这些因素对于较低的缺勤阈值并不显著。这可能有助于指导基于学校的哮喘干预措施,因为有限的资源必须针对长期缺勤风险较高的学生。