County variation in children's and adolescent's health status and school district performance in California.
OBJECTIVE
We examined the association between county-level estimates of children's health status and school district performance in California.


METHODS
We used 3 data sources: the California Health Interview Survey, district archives from the California Department of Education, and census-based estimates of county demographic characteristics. We used logistic regression to estimate whether a school district's failure to meet adequate yearly progress goals in 2004 to 2005 was a function of child and adolescent's health status. Models included district- and county-level fixed effects and were adjusted for the clustering of districts within counties.


RESULTS
County-level changes in children's and adolescent's health status decreased the likelihood that a school district would fail to meet adequate yearly progress goals during the investigation period. Health status did not moderate the relatively poor performance of predominantly minority districts.


CONCLUSIONS
We found empirical support that area variation in children's and adolescent's health status exerts a contextual effect on school district performance. Future research should explore the specific mechanisms through which area-level child health influences school and district achievement.
Stone
Susan I
SI
School of Social Welfare, University of California at Berkeley, Berkeley, CA 94720, USA. sistone@berkeley.edu
Jung
Sunyoung
S
D000293:Adolescent; D002140:California; D002648:Child; D002669:Child Welfare / Q000706:statistics & numerical data*; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D004522:Educational Status; D054242:Emigrants and Immigrants / Q000706:statistics & numerical data; D005178:Faculty / Q000706:statistics & numerical data; D006040:Goals; D054624:Health Status Disparities; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D017057:Medically Uninsured / Q000706:statistics & numerical data; D008913:Minority Groups / Q000706:statistics & numerical data; D017711:Nonlinear Dynamics; D009937:Organizational Objectives; D011204:Poverty Areas; D012111:Residence Characteristics; D012574:Schools / Q000458:organization & administration*; D012959:Socioeconomic Factors