Table 3.

Impact of BIC on obesity and BMI.

	Pre–post		Cumulative days
	Grade K–5	Grade 6–8	Grade K–5	Grade 6–8
Panel A: impact on z-BMI
Post-BIC adoption: school with < 25% coverage	−0.0008  (0.0143)	−0.0263  (0.0169)	0.0107*  (0.0053)	0.0080  (0.0045)
Post-BIC adoption: school with >25% coverage, not full	−0.0045  (0.0159)	−0.0171  (0.0393)	−0.0017  (0.0067)	0.0109  (0.0082)
Post-BIC adoption: full school	−0.0164  (0.0304)	−0.0301  (0.0187)	−0.0236  (0.0175)	0.0040 (0.0087)
Panel B: impact on obesity
Post-BIC adoption: school with < 25% coverage	−0.0013  (0.0037)	−0.0085  (0.0062)	0.0029*  (0.0014)	0.0029  (0.0016)
Post-BIC adoption: school with >25% coverage, not full	0.0011  (0.0047)	−0.0100  (0.0154)	0.0018  (0.0020)	0.0035  (0.0032)
Post-BIC adoption: full school	−0.0023  (0.0086)	−0.0053  (0.0066)	−0.0032  (0.0059)	0.0015  (0.0033)
Count of program schools
With <25% coverage	114	78	114	78
With >25% coverage, not full	55	35	55	35
Full school	32	15	32	15
Observations	2,131,469	980,088	2,131,469	980,088

Notes: Standard errors in parentheses, robust to clustering at the school level. Obese is defined as being above the 95th percentile nationally for one’s gender and age in months, based on the Centers for Disease Control and Prevention (CDC) growth charts. All models include student covariates, grade, school, and year effects. Covariates include age, gender, race/ethnicity, low income status, LEP, immigrant, and special education status. Low income is measured by eligibility for free or reduced price meals or enrollment in a Universal Free Meal school. Age is measured in months at the time of the Fitnessgram. We exclude charter school students, students attending citywide special education schools (District 75), students in schools where Fitnessgram coverage is less than 50 percent, and students with biologically implausible BMIs.