| to cover the administration of an   	college,or completed college or    	ALA 2014 TRL A grade,and 68.9%
<br />		enforcement program and regular 	more). 					(1445)students lived in jurisdictions
<br />		compliance checks in each store.An 							with D or F grades.Sex and ethnic
<br />       	A grade also required(1)an annual	Statistical Analysis   			distributions were similar in A and
<br />		renewal of this local license; (2)a   							D or F jurisdictions,but students in
<br />       	provision that any violation of local,       Unconditional logistic regression models were used to evaluate the  	A jurisdictions were more likely to
<br />		state,or federal law is a violation    							come from less-educated households
<br />		of the license;and(3)a graduated 	associations of living in a jurisdiction with    					(Table 1).Unadjusted prevalence
<br />       	penalty system for violators,       		r ALA grade A versus D or F 	and initiation rates for each tobacco
<br />       	including financial deterrents such	TRL ordinance with baseline ever  	product were lower in jurisdictions
<br />       	as fines or other penalties,including       and past 30 day use of cigarettes,  	with A than with D or F grades,
<br />       	license revocation or suspension.15	e-cigarettes,hookah,cigars,or use 	with the exception of new initiation
<br /> 								of any of these tobacco products in	of hookah with past 30-day use.
<br />       	The remaining study jurisdictions  	separate models.Models were also fit     Initiation rates were substantial
<br />       	were assigned an F grade(8)or a  	to evaluate associations of ALA grade     among never tobacco product
<br />		D grade(1).An F grade indicated  	with the initiation of each product,
<br /> 								with or without past 30-day use.In	users at baseline,in particular for
<br />		either(1)no local ordinance   				p  	y		e-cigarette use.Both prevalence and
<br />		mandating a license fee or(2)a fee	models used to evaluate the initiation     initiation rates of past 30-day tobacco
<br />		insufficient to fund administrative 	of use of each tobacco product     	product use generally did not exceed
<br />       	and compliance checks as well as  	between baseline and follow-up,the       10%for any product.
<br />		none of the 3 other provisions for an      sample was restricted to baseline
<br />       	A grade.The jurisdiction with the D	never users of that product.Odds  	For baseline prevalence of ever and
<br />       	grade had a licensing fee that was  	ratios(ORs)and 95%confidence  	past 30-day use of cigarette and
<br />		insufficient to cover administration	intervals(CIs)were used to estimate      e-cigarette ever use,and to a lesser
<br />       	and compliance checks,but it had  	the association of each tobacco     	degree for prevalence of cigar use,
<br />       	at least 1 of the other 3 provisions 	product use with an ALA grade.    	jurisdictions with A grades had
<br />       	listed above that were needed for an      All models were adjusted for sex,  	generally lower use rates than D or
<br />       	A grade.The D and F communities 	ethnicity,highest parental education,      F jurisdictions(Supplemental Fig 3).
<br />       	were collapsed for data analysis,   	and baseline age,factors that have 	However,within both grade groups,
<br />       	because the insufficient annual fee 	been associated both with e-cigarette     there was considerable variability in
<br />       	is a central feature of regulation to 	use and cigarette use in previous   	prevalence rates across jurisdictions
<br />		reduce youth access.7,15 No study  	studies.13,14 Each tobacco product—	for all tobacco products.Rates in
<br />       	jurisdiction in this sample had B or C      specific model was also adjusted for       individual jurisdictions had wide Cls
<br />       	grades corresponding to TRL policies      a baseline history of use of any other      (results not shown)because of small
<br />		of intermediate quality.15   		tobacco product,because there was       sample size.Rates of tobacco product
<br /> 								clustering of the tobacco product  	initiation at follow-up were also
<br />       	ALA assigned grades to other       	outcomes.13 A missing indicator    	generally quite variable across the
<br />		categories of tobacco policy(smoke-       category for covariates and any other     jurisdictions within both A and D or F
<br />       	free housing policy,smoke-free    	tobacco product use was included 	grades(Supplemental Fig 4).
<br />		outdoor policy,and overall tobacco	where appropriate.Additionally,all       At baseline,participants living in the
<br />       	policy).15 These policies,which are	models included a random effect for       4 jurisdictions with A grades had
<br />       	not specific to youth tobacco product      community to account for similarities     lower odds of ever using a cigarette
<br />       	access,were not associated with   	among subjects within jurisdictions.       (OR 0.61;95%CI 0.41-0.90)and
<br />       	tobacco product use in this study,and     In a sensitivity analysis,models were      of past 30-day use(OR 0.51;95%
<br />		results are not presented.   		further adjusted for time between 	CI 0.29-0.89)than participants in
<br /> 								baseline and follow-up questionnaire      10 D-to F-grade jurisdictions,after
<br />		Covariates    				completion.Statistical analyses were      adjusting for so cio demographic
<br />		Self-administered questionnaires  	based on 2-sided hypotheses tested       covariates and other tobacco product
<br />		completed by parents of    		at a 0.05 level of significance,using	use at baseline(Fig 1).
<br /> 								SAS 9.4(SAS Institute,Inc,Cary,NC).
<br />       	participants were used to assess     							Living in A-grade jurisdictions
<br />		socio demographic characteristics,   							was associated with lower odds
<br />		including sex,ethnicity(Hispanic,  	RESULTS       				of initiation of cigarette use
<br />		non-Hispanic white,other),age at   							between baseline and the follow-up
<br />       	baseline,and parental education   	Of the 2097 participants,31.1%    	questionnaire(OR 0.67;95%CI
<br />		(completed high school or less,some      (652)lived in a jurisdiction with an	0.45-0.99[Fig 2]).The risks of
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<br />		PEDIATRICS Volume 143,number 2,February 2019  												3
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