TABLE 7.
Effect of Proximity on the Likelihood of Subsequent Autism Diagnosis among Children Whose Nearest Neighbor with Autism Was from (A) the Same or (B) a Different School District
(A) Same School District (N = 849,992) |
(B) Different School District (N = 103,472) |
|||
---|---|---|---|---|
OR | 95% CI | OR | 95% CI | |
Proximity categories: | ||||
1–500 m | 1.36* | (1.14–1.62) | 1.03 | (.58–1.85) |
501 m–1 km | 1.00 | 1.00 | ||
1–2 km | .76* | (.59–.98) | .79 | (.45–1.38) |
2–5 km | .66 | (.42–1.04) | .39* | (.16–.94) |
Over 5 km | .33 | (.08–1.34) | .31* | (.12–.83) |
Age: | ||||
2 | .03* | (.02–.05) | .07* | (.02–.18) |
3 | 1.00 | 1.00 | ||
4 | .66* | (.55–.80) | .83 | (.50–1.38) |
5 | .41* | (.30–.57) | .68 | (.30–1.53) |
6 | .33* | (.19–.56) | .24 | (.03–1.76) |
Year: | ||||
2000 | 1.00 | 1.00 | ||
2001 | 1.14 | (.81–1.60) | 1.58 | (.68–3.67) |
2002 | 1.42* | (1.03–1.96) | 1.23 | (.50–3.01) |
2003 | 1.25 | (.90–1.73) | 1.68 | (.71–3.97) |
2004 | 1.65* | (1.20–2.27) | 1.46 | (.58–3.65) |
2005 | 1.82* | (1.33–2.50) | 1.76 | (.70–4.42) |
Male | 4.62* | (3.79–5.64) | 8.06* | (4.03–16.11) |
Mother’s years of education | 1.08* | (1.05–1.11) | 1.12* | (1.03–1.22) |
Mother’s age at birth | 1.07* | (1.05–1.09) | 1.07* | (1.03–1.12) |
Birth paid by Medi-Cal | .83 | (.65–1.06) | .96 | (.49–1.87) |
Logged age 0–9 population density | 1.11* | (1.03–1.19) | 1.19 | (.95–1.49) |
Logged median household income | .91 | (.78–1.06) | .92 | (.60–1.41) |
Logged distance to nearest advocacy organization (reverse coded) | 1.03 | (.94–1.12) | 1.17 | (.91–1.51) |
Logged distance to nearest DDS center (reverse coded) | 1.08 | (.98–1.19) | 1.06 | (.80–1.40) |
Logged distance to nearest pediatrician (reverse coded) | 1.01 | (.93–1.10) | 1.10 | (.87–1.39) |
Note.—All logged distances were reverse coded (i.e., 0 −ln(distance)). Larger values indicate closer proximity. Fifty-two percent of group A and 41% of group B lived in the high-population-density (top 50%) school districts.
P < .05.