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Transcript
Article Plus content for Kandel, et al.
Note: Sentences marked in bold complement the text of the full article’s Method section.
Auxiliary Materials
527
528
Sample
The data are from The Transition to Nicotine Dependence (TND) study, a prospective
529
five-wave longitudinal household study of a multi-ethnic cohort of 1,039 6th-10th graders
530
selected from the Chicago Public Schools (CPS) and one of their parents. A two-stage design
531
was implemented to select the target sample for the follow-up. In Phase I (spring 2003), 15,763
532
students in grades 6-10 were sampled from 43 public schools in the CPS. The sample
533
(N=1,039) was designed to provide approximately equal numbers of adolescents among the
534
three major ethnic groups: non-Hispanic white (N=272), non-Hispanic African American
535
(N=343), and Hispanic (N=424). Because of the ethnic distribution in the CPS, largely
536
Hispanic schools were excluded and schools with large numbers of non-Hispanic white
537
students were oversampled. The resulting sample is representative of each racial/ethnic
538
group from the CPS, except for Hispanics from largely Hispanic high schools and whites
539
with Polish speaking parents. Schools were divided into eight segments and the survey
540
administration was staggered over four months. The survey completion rate was 83.1%. A
541
target sample of 1,236 youths was selected: 1,106 tobacco users who started to use tobacco in the
542
prior 12 months and 130 non-tobacco users susceptible of starting to smoke, divided among non-
543
Hispanic whites, non-Hispanic African Americans and Hispanics. Susceptible non-tobacco users
544
satisfied 2 of 3 criteria as per Pierce et al.41: (a) might try smoking a cigarette soon; (b) did not
545
answer “definitely not” to whether would smoke if a friend offered them a cigarette; or (c) will
546
be smoking cigarettes in one year. Sensitivity and specificity of these criteria for predicting
547
the onset of smoking among a sample of baseline adolescent never smokers four years later
1
548
were 66.7% and 61.9%, respectively.41 Non-tobacco users were included as targets in the
549
household sample so as to not have to indicate to parents that their child was a tobacco user when
550
requesting active parental consent for child participation. Whites and African Americans who
551
had started to use tobacco 0-12 months earlier and Hispanics who had started 0-6 months
552
earlier were selected with certainty; Hispanics who started 7-12 months earlier were
553
sampled at a 25% rate, because of the larger number of Hispanics than other race/ethnic
554
groups in the sample schools. The onset of tobacco use was based on a question that asked
555
students “How long has it been since you FIRST tried or used a tobacco product?” The
556
coded responses ranged from “I first tried within the last 3 months, 4-6 months ago, 7-12,
557
13-18, 19-24 and more than 24 months ago.” Of the tobacco users in the school survey
558
(N=4,363), 1,623 (37.2%) reported having started to use within the last 12 months; 1,106
559
were selected for the target sample. Another 751 (17.2%) reported having started 13-24
560
earlier and 1,989 (45.6%) started more than 24 months earlier. Youths who initiated
561
tobacco use within the last 12 months or 13-24 months earlier were older at onset and
562
lighter users than those who initiated tobacco use more than 24 months earlier. At onset,
563
those who initiated tobacco use within the last 12 months were on average 12.2 years old
564
(S.D.=2.1), those who initiated 13-24 months earlier were 12.3 years old (S.D.=1.8), and
565
those who initiated 24 months earlier were 10.7 years old (S.D.=2.0). Of these three groups,
566
13.6%, 19.2% and 25.2%, respectively, had ever smoked more than 25 cigarettes.
567
In Phase II, on average 9 weeks after each school survey, 1,039 youths (84.1% of 1,236
568
target) (272 white, 343 African American, 424 Hispanic) and one parent (86.8% mothers)
569
participated in the two year (2003-2005) longitudinal follow-up consisting of three annual 90
570
minute computerized household interviews with youths and parents (W1, W3, W5), and two 20
571
minute bi-annual interviews with youths six months after W1 and W3 (W2, W4). Of the 1,039
572
youths, 922 were tobacco users (832 smokers); and 117 were non-tobacco users susceptible of
2
573
starting to smoke. Completion rates at W2-W5 were 96.0% of the W1 sample. The National
574
Opinion Research Center (NORC), at the University of Chicago, conducted the fieldwork. In
575
902 (86.8%) families, mothers were the participating parent (870 biological, 21 adoptive, 11
576
step or foster); 58 respondents were fathers; 79 were other parental figures, such as
577
grandmothers. Hispanics who had started to use tobacco 7-12 months earlier were given a
578
weight of 4, since they were sampled at the rate of 25%. All Hispanic tobacco users were
579
rescaled to the unweighted number who were interviewed.
580
Human subject procedures
581
Passive parental consent was obtained for the school survey and active consent for the
582
household interviews; adolescent assent was obtained for both administrations. Interviewers
583
emphasized that all answers would be confidential. All procedures were approved by the
584
Institutional Review Boards of the New York State Psychiatric Institute, Columbia University,
585
and NORC.
586
Data collection: Overview
587
Selected DSM-IV child psychiatric disorders were ascertained at W1, W3 and W5 from
588
youths and mothers. Youths reported at every wave about their smoking, other tobacco use and
589
DSM-IV nicotine dependence symptoms, and annually about their use and DSM-IV abuse and
590
dependence symptoms for other substances, novelty seeking, and exposure to smoking siblings
591
and peers. Mothers reported annually on their smoking, DSM-IV nicotine dependence
592
symptoms, DSM-IV depression, and delinquency.
593
Definitions of variables
594
Variables were measured from youths (Y), and from parents (P) about themselves or the
595
youths. Predictor variables were measured by W3, outcome variables by W5. The highest
596
values reported by each time period was selected.
3
597
(Y-P) Psychiatric disorders: Measured by the NIMH Diagnostic Interview Schedule for
598
Children (DISC-IV-Y and -P).42 Mood disorders (major depressive disorder (MDD) and
599
dysthymia (DYS) were assessed at W1, W3 and W5; anxiety disorders (social phobia, panic,
600
generalized anxiety, post-traumatic stress (PTSD)), and disruptive behavior disorders (attention-
601
deficit hyperactivity (ADHD), oppositional defiant (ODD), conduct disorder (CD)) at W3 and
602
W5. Each disorder was ascertained from parents and youths, except ADHD (parents only). For
603
each disorder, lifetime and last 12 month symptoms were asked at the first assessment; last 12
604
months symptoms were asked at subsequent assessments. For DYS and PTSD, only last 12
605
month symptoms were asked at all assessments. Scoring that combined criteria from parent and
606
child reports without impairment was used.43 Due to human subjects concerns, questions
607
about current suicidal ideation and prior suicide attempt were removed from W1 major
608
depressive disorder (MDD), and forced sex from CD. The suicide-related items were
609
reinstated at W3 and W5, when a clinical psychologist was available to provide a mental
610
health consultation, if needed. The diagnostic scoring was modified slightly for MDD at
611
W1 and was based on meeting 4 of 8 rather than 5 of 9 criteria. The modified definition
612
yielded a slightly higher rate of last 12 month MDD (4.5%) than the standard definition
613
used at W3 (3.3%). Thus, the mood disorder variable based on the modified W1 MDD
614
definition may yield a slightly higher rate of disorder than the standard definition. The
615
scoring for CD was not modified and meeting 3 of 15 criteria was retained (Dr. Prudence
616
Fisher, personal communication, 10/31/07).
617
(Y-P) Onset ages of psychiatric disorders: (Not available for PTSD). The earliest age reported
618
by parent or youth for a specific disorder defined onset age for the class. Onset age for CD is
619
not ascertained for the diagnosis but rather for each positive symptom. Thus, for youths
620
who met diagnostic criteria for CD, the earliest age of a positive symptom determined the
621
onset age for the disorder.
4
622
(Y) Nicotine dependence: Measured as per the Diagnostic and Statistical Manual of Mental
623
Disorder (DSM-IV)44 by an instrument developed for adolescents.45 The 11-item scale measured
624
symptoms in the last 12 months that define the seven DSM-IV dependence criteria:44 tolerance,
625
withdrawal, impaired control, unsuccessful attempts to quit, great deal of time spent using,
626
neglect important activities, and use despite physical or psychological problems (α=.85). For
627
the measurement of the seven DSM-IV dependence criteria, four criteria were indexed by
628
two alternate symptoms and three were indexed by a single symptom. The criteria of
629
withdrawal asked about 12 specific symptoms; 3 were sham items included to check the
630
reliability of responses. These 3 items and a fourth item about craving were excluded from
631
the scoring of withdrawal (α=.92). The withdrawal criterion was met when respondents
632
reported at least 4 of the 8 valid symptoms. Full dependence was defined when 3 criteria were
633
met.
634
(Y) Onset age of first nicotine dependence criterion: Month/year of first criterion minus birth
635
date.
636
(Y) Onset age of full nicotine dependence: Month/year of third criterion minus birth date.
637
(Y) Onset age of cigarette use: Month/year first used cigarettes minus birth date.
638
(Y) Initial sensitivity first tobacco use:46 Experiences associated with first tobacco use. Two
639
scales averaged the scores of component items: pleasant symptoms (pleasant sensations,
640
relaxation, pleasurable dizziness, pleasurable rush/buzz (α=.71)); unpleasant symptoms
641
(unpleasant sensations, nausea, unpleasurable dizziness, unpleasurable rush/buzz, coughing,
642
heart pounding, headache, bad taste (α=.78)). Each symptom coded 1=none to 4=intense
643
experience.
644
(Y) Lifetime smoking: At W1, ever smoked a cigarette, even a puff; at subsequent waves,
645
smoked since the prior interview.
5
646
(Y) Number cigarettes smoked lifetime: Recoded to mid-point: smoked one or more puffs but
647
never a whole cigarette=.5; 1 cigarette=1; 2-5 cigarettes=3; 6-15=10; 16-25=20; 26-99=62; and
648
100+=100 cigarettes
649
(Y) Other tobacco use lifetime (smokeless, cigars, pipes, bidis, kreteks).
650
(Y) Alcohol use and abuse/dependence lifetime: Combined ever used and DSM-IV abuse or
651
dependence on alcohol, ascertained by the DISC-IV-Y: never used alcohol; used but no
652
abuse/dependence; lifetime alcohol abuse/dependence.
653
(Y) Alcohol, marijuana and other illicit substance use and abuse/dependence lifetime:
654
Combined ever used and DSM-IV abuse or dependence on alcohol, marijuana or any other illicit
655
drug (OID), ascertained by the DISC-IV-Y: never used alcohol, marijuana or OID; used but no
656
abuse/dependence; lifetime alcohol, marijuana or OID abuse/dependence.
657
(Y) Perceived peer smoking: At least one friend currently smoked.
658
(Y) Perceived siblings’ smoking: Sibling ever smoked.
659
(P) Parent smoking/nicotine dependence lifetime: Combined ever smoked and DSM-IV nicotine
660
dependence, measured by the same scale as for the youths (α=.80): never smoked; smoked but
661
no dependence; lifetime nicotine dependence.
662
(P) Parent lifetime depression: DSM-IV major depressive disorder as per the Composite
663
International Diagnostic Interview (CIDI 2.1).
664
(P) Parent lifetime delinquency: Count of 11 delinquent activities (range 0-11; α=.89):
665
damaging property, injuring persons, shoplifting, stealing something worth < or > $50,
666
breaking into house/building, threatening with weapon, fighting with another/group,
667
driving car without owner’s permission, and getting into trouble with police. Scored
668
highest value at W1 or W3.
669
(Y) Youth novelty seeking: Based on Cloninger’s Tridimensional Personality Questionnaire.47
670
Average of 9 five-point items (α=0.80): try things for fun, look for something exciting, can
6
671
get people to believe lies, do things based on how feel at the moment, get excited and lose
672
control, like when people do whatever they want, follow instincts, can stretch the truth and
673
change interests a lot. The response alternatives were 1=not at all true; 2=a little true;
674
3=somewhat true; 4=pretty true; 5=very true. Scored highest value at W1 or W3.
675
(Y) Age: in years.
676
(Y) Race/ethnicity: non-Hispanic white; non-Hispanic African American; Hispanic.
677
(Y) Gender
678
Participants and non-participants in household interviews
679
Participants (N=1,039) and non-participants (N=197) in the household interviews
680
were compared on sociodemographic characteristics and school reports of smoking and
681
depressive symptoms. Non-participants did not differ on age or gender; however, a higher
682
proportion of non-Hispanic whites than non-Hispanic African Americans declined to
683
participate. Non-participants were more likely than participants to report having ever
684
smoked (92.8% vs. 85.0%, p<0.01), having smoked more extensively (11.1% versus 6.3%
685
had ever smoked 100 or more cigarettes, p<0.05), and having met criteria for DSM-IV
686
nicotine dependence (31.1% versus 24.4%), although this difference was not statistically
687
significant. Non-participants did not differ from participants on depressive symptoms.
688
Inconsistencies in reporting of tobacco use
689
There were discrepancies between the school and household reports of tobacco
690
use.56 Of the youths who had reported any tobacco use in school (N=922), 213 denied at the
691
Wave 1 household interview having ever used tobacco; of those who reported in school
692
smoking cigarettes (N=832), 189 denied having ever smoked at Wave 1. There were
693
further discrepancies in the age of tobacco use onset. In the household interviews,
694
adolescents were asked the specific date (month, year) of first use of each tobacco product
695
ever used. Time since onset was calculated as the difference between the earliest date of
7
696
use of any product and the interview date. Only 281 (39.6%) of the 709 adolescents who
697
had reported in school having started using tobacco in the prior 12 months were identified
698
as having started to use within the prior year based on the more precise (month/year of
699
onset) ascertainment in the household interviews; 428 were estimated to have started to
700
smoke more than one year before Wave 1. Of these, 75 started within 12 months prior to
701
the school survey but more than 12 months prior to the household interview because of the
702
time lag between the two data collections. Those who denied having used tobacco in the
703
household interviews were, according to their school reports, younger, more likely to be
704
African Americans, lighter smokers and less likely to meet criteria for the full DSM
705
dependence syndrome than those who admitted use in the household. The youths (N=353),
706
who in the household were estimated to have started using tobacco more than a year prior
707
to the household interview even though they had been selected because they had reported
708
in the school having started to use tobacco within the prior 12 months, were more likely to
709
be males, African Americans, heavier smokers and to have experienced more DSM-IV
710
dependence symptoms than those who were correctly assessed as having started using
711
tobacco within the prior 12 months. The group (N=75) who no longer fell within the 12
712
month interval because of the time lag between the school and household data collections
713
did not differ from those correctly classified. Thus, those who denied having used tobacco
714
in the household were lighter users than those who admitted use. By contrast, those who
715
were reclassified as having started to use more than 12 months earlier were heavier users
716
than those who remained classified as having started within the last 12 months. The
717
cumulative impact of non-participation and inconsistent reporting resulted in a sample that
718
was biased towards the exclusion of tobacco users, especially heavier users.
719
Analytical samples for current study
8
720
Five analytical samples were defined as of W3: (1) Total cross-sectional sample
721
(N=1,039) to provide background descriptive information about the prevalence of smoking,
722
nicotine dependence, and psychiatric disorders in the cohort; (2) longitudinal sample of lifetime
723
smokers without nicotine dependence symptoms as of W3 (N=419) to examine psychiatric
724
disorders as predictors of the onset of nicotine dependence by W5; (3-5) three longitudinal
725
samples of lifetime smokers without a lifetime diagnosis of an anxiety (N=686), mood (N=636),
726
or disruptive (N=580) disorder as of W3 to examine nicotine dependence as a predictor of the
727
onset of each psychiatric disorder by W5.
728
Statistical analysis
729
Logistic regressions were estimated to identify the prospective associations between (1)
730
psychiatric disorders and onset of nicotine dependence, and (2) nicotine dependence and onset of
731
psychiatric disorders. The outcome variable for onset of dependence was meeting at least one
732
criterion by W5. The three outcome variables for onset of psychiatric disorders by W5 were
733
meeting last 12 month DSM-IV criteria for any anxiety, mood, or disruptive disorder,
734
respectively. Multivariate analyses controlled for comorbidity among psychiatric disorders;
735
smoking history (age of smoking onset, initial sensitivity to tobacco, quantity smoked lifetime,
736
other tobacco use lifetime); other substance use (alcohol, marijuana and OID use and
737
abuse/dependence); peer and sibling smoking; novelty seeking; parental nicotine dependence,
738
depression and delinquency. To the extent possible, identical covariates were included across all
739
models. Smoking history covariates were included in models predicting psychiatric disorder
740
since they may have unique effects over those of dependence. Selected two-way interaction
741
effects were tested to examine if the impact of predictors for each outcome were moderated by
742
gender or race/ethnicity. All analyses were weighted and conducted in SAS® V9.1.
743
744
To control for Type I errors in univariate analyses, the Holm’s procedure48, a modified
Bonferroni approach, was applied to conceptually related groups of variables. Groups of
9
745
variables for Table 1 included: (1) anxiety disorders (social phobia, panic, generalized
746
anxiety, post-traumatic stress, any anxiety); (2) mood disorders (major depression,
747
dysthymia, any mood); (3) disruptive disorders (attention deficit, oppositional defiant,
748
conduct, any disruptive); and (4) smoking/dependence (ever smoked, and 1+ and 3+ nicotine
749
dependence criteria); and for Tables 2 and 3 (1) sociodemographics (age, gender,
750
race/ethnicity); (2) psychiatric disorders (anxiety, mood, disruptive), smoking/tobacco
751
history (onset age of smoking, initial positive and negative sensitivity to tobacco, quantity
752
smoked, other tobacco use, and nicotine dependence (for Table 3 only), exposure to
753
smoking in the proximate social environment (peer, sibling, parental smoking), parental
754
psychopathology (depression and delinquency). Three variables, any psychiatric disorder
755
(Tables 1-2), alcohol, marijuana or OID use and abuse/dependence and novelty seeking
756
(Tables 2-3) were treated individually. For each main effect, the p values for each group of
757
variables were ordered from smallest to largest. The p value was compared to the
758
significance level .05/(k - i + 1), where k = the number of main effects tested in each
759
variable grouping, and for k main effects, i = 1,2,…, k. For example, in Table 1, for anxiety
760
disorder, five main effects for gender were tested. Post traumatic stress was accepted
761
because its p value was less than .05/(5 - 1 + 1) = .01, and any anxiety disorder because its p
762
value was less than .05/(5 – 2 + 1)=.0125.
763
Appendix Table A presents the distributions of covariates for the four longitudinal samples.
10