Abstract
Objectives. We sought to study gender differences in young adult smoking declines and enrollment in populationwide cessation services.
Methods. The New York City (NYC) Department of Health and Mental Hygiene implemented populationwide cessation programs to distribute free nicotine replacement therapy (NRT); demographic data were collected from enrollees. Smoking prevalence was assessed using data from the Community Health Survey, an annual population-based survey.
Results. Between 2002 and 2005, smoking among young adults in NYC declined from 23.8% to 18.8%, which was explained entirely by a 41.8% decline among young adult women (23.2% to 13.5); prevalence remained at 24% among young adult men. More young adult women enrolled in cessation services than did men, although once enrolled, the likelihood of using NRT was high among both groups.
Conclusions. Among young adults, women have been responsive to comprehensive tobacco control, but men require more-intensive strategies. Population-wide NRT distribution can be effective with young adults overall; however, additional resources need to be devoted to identifying successful outreach strategies for young adult men.
The young adult population is of particular interest to the tobacco industry for several reasons, many of which have been noted in recent analyses of tobacco industry documents. First, because young adults function as role models for adolescents, marketing to young adults may indirectly promote smoking to adolescents.1 Second, the transitional nature of young adulthood provides opportunities for experimentation and the establishment of addiction.2 Finally, although most smokers try their first cigarette before age 18 years,3,4 the transition from experimental or occasional smoking to daily smoking often occurs in young adulthood.5 Evidence shows that marketing efforts to this group may successfully encourage a shift from occasional smoking to regular smoking.6 Thus, as smoking among youth (younger than 18 years) and young adults (aged 18 to 24 years) continues to decline,7 the young adult population will likely continue to be targets of already aggressive tobacco marketing.1,6
Although national increases in smoking by young adults during the 1990s were cause for concern,8,9,10 since 2002 young adult smoking appears to have declined.11,12 A better understanding of cessation strategies that are effective for this population is needed to accentuate successes and may counteract any increase in marketing to this population by the tobacco industry. Research shows that smoking cessation at earlier ages is associated with reduced risk of premature death.13,14 Studies also show that the period of young adulthood is associated with increased likelihood of quit attempts and success in quitting.15 It is, therefore, prudent for tobacco control programs to broaden their understanding of successful cessation strategies for young adults overall and for subgroups in need of targeted intervention.
The New York City Department of Health and Mental Hygiene (DOHMH) implemented a comprehensive, 5-point tobacco control program in 2002. This program, which includes taxation, legislation, education, cessation services, and evaluation efforts, resulted in a 1-year decline in smoking prevalence among New York City adults from 21.6% in 2002 to 19.2% in 2003, which was maintained in 2005 (18.9%).16,17 The cessation services component of the New York City program included physician outreach and education, support of quit smoking clinics, and 3 populationwide giveaways of nicotine replacement therapy (NRT) patches in 2003, 2005, and 2006. In response to evidence that smokers who use NRT are more likely to quit than those who don’t,18,19 NRT distribution has been a primary focus of New York City’s cessation services. An evaluation of the 2003 DOHMH patch giveaway showed that smokers who received patches through the program were significantly more likely to be smoke-free at 6 months than were smokers who did not receive patches.20
We examined declines in smoking prevalence among young adults and participation in the citywide NRT distribution program (including patterns of enrollment and use of patches) by gender. We also make recommendations for targeting populationwide NRT distribution to address these disparities.
METHODS
Implemented annually since 2002, the Community Health Survey (CHS) is a population-based, random-digit-dialed health survey of approximately 10000 adult New York City residents. The survey is conducted by trained interviewers through computer-assisted telephone interviews. Response rates among contacted households were 64% in 2002 (n = 9674), 59% in 2003 (n = 9802), 59% in 2004 (n=9585), and 71% in 2005 (n=9818). Measures used to assess smoking status were the same as those used in national Behavioral Risk Factor Surveillance System surveys;21 smoking was defined as currently smoking every day or some days and having smoked at least 100 cigarettes in one’s lifetime.
In 2003, 2005, and 2006, DOHMH partnered with city and state government phone services to distribute about 40000 courses of NRT in 5 weeks in each program year. Smokers called toll-free numbers, were screened for eligibility, and were sent NRT directly to their homes. Brief counseling calls were attempted for a subgroup of callers. About 2500 young adults enrolled in each program (Table 1 ▶). To be considered eligible, callers needed to be New York City residents who were 18 years or older, consented to have their information shared, agreed to follow-up contact, met medical eligibility criteria, confirmed they were considering quitting within the next 7 days, and smoked at least 10 cigarettes per day. Callers determined to be ineligible were referred to other smoking cessation resources.
TABLE 1—
Program Year | Length of Program, Days | Partner | NRT Dosage and Duration of Treatment | Total NRT Courses Distributed | NRT Courses Distributed to Young Adults, % | Follow-Up Provided |
2003 | 43 | NYC Smokers’ Quitline | 2 weeks, 21 mg; 2 weeks, 14 mg; 2 weeks, 7 mg | 35 000 | 2583 (7.4%) | Calls at 3 weeks and 14 weeks to all enrollees |
2005 | 36 | NYC 311a | 6 weeks 15 mg | 45 000 | 2685 (6.0%) | Calls at 3 weeks to smokers of 10–20 cigarettes per day |
2006 | 34 | NYC 311a | 4 weeks 21 mg; option for 2 additional wks 14 mg | 35 000 | 2381 (6.8%) | Calls at 3 weeks to smokers of 10–20 cigarettes per day |
Note. NRT = nicotine replacement therapy; NYC = New York City; NYS = New York State.
aThis is NYC’s nonemergency phone number.
Each New York City resident who called during the patch giveaways was asked a series of intake questions to track demographic and smoker characteristics and to ensure that there were no medical contraindications for patch use. Age and gender of participants were recorded at intake in all 3 years. In 2005 and 2006, to better understand distribution of NRT, additional questions were asked on race/ethnicity, income, educational level, and Medicaid enrollment. Enrollment and counseling were conducted by trained interviewers in English and Spanish; enrollment using additional languages was facilitated by a translation service. Training on the enrollment application script was delivered by staff of DOHMH in 2003 and 2005 and by staff of 311, New York City’s nonemergency government information line, in 2006. In 2005 and 2006, only smokers who smoked 10 to 20 cigarettes per day at intake received a counseling call 3 weeks after enrollment. Counseling calls were successfully provided to 45% of 2003 enrollees eligible for a call, 61% of eligible enrollees in 2005, and 50% of eligible enrollees in 2006. Noncompletion of counseling calls was primarily the result of inability to reach respondents; only 1% of smokers in both 2005 and 2006 refused to complete the call once reached. During the counseling, trained interviewers assessed program participants’ receipt of patches, use of patches, and experience of side effects from using patches.
Statistical Analyses
As explained elsewhere,16 CHS datasets were weighted to account for unequal selection probabilities and nonresponse. Primary weights were calculated for each respondent and consisted of the inverse of the probability of selection. Poststratification weights were used to adjust the sample estimates according to the age, race/ethnicity, and gender composition of each sampling stratum, defined by neighborhood. All analyses were weighted; results of citywide prevalence were age standardized to the 2000 US Census population. Cells with numerators less than 6 or denominators less than 20 were suppressed, and estimates with a relative standard error greater than 30% were flagged as unstable.22
To assess current smoking trends among young adults in New York City after the implementation of comprehensive tobacco control, prevalence estimates were calculated overall and stratified by age group. Within the young adult population, trends were examined among demographic subgroups based on race/ethnicity, gender, income, student status, and birthplace. Significant changes between 2002, the first year of New York City’s comprehensive tobacco control program, and 2005, the most recent year for which data are available, were assessed using the pairwise t test to compare prevalence estimates of each group. A correction for multiple comparisons was not calculated. To assess enrollment in the patch programs, weighted population estimates were constructed for heavy smokers (those smoking 10 or more cigarettes per day) overall, by age group, and by demographic subgroups within the young adult population. Identical demographic strata were then constructed using the patch program intake data, and program enrollment was assessed by dividing the number enrolled in each demographic strata by the population estimate of heavy smokers in that strata. Because a more limited intake script was used in 2003, it was not possible to conduct this comparison with the 2003 data. Finally, counseling call data were examined by demographic subgroup to detect differences in the use of patches by NRT program participants.
Logistic regression analyses were used to determine relationships between demographics and 2 outcomes of interest: current smoking and use of patches. To assess relations between age group and outcomes of interest in the adult population, the odds ratio associated with each age group is reported and an adjusted odds ratio is presented that was used to control for gender, race/ethnicity, foreign-born status, income, and student status. Demographic variables included in the adjusted model were chosen on the basis of those examined during program enrollment and those consistent with previous analyses of smoking in New York City.16 To assess significant differences within the young adult population, similar logistic regression analyses were conducted within the 18- to 24-year age group and bivariate and adjusted odds ratios were calculated for the relations between each outcome and gender, race/ethnicity, foreign-born status, income, and student status. For multivariate models, all variables were included in the model simultaneously. All analyses were conducted using SAS version 9.1 (SAS Institute Inc, Cary, NC) and SUDAAN release 9.0.1 (Research Triangle Institute, Research Triangle Park, NC).
RESULTS
From 2002 to 2005, the prevalence of current smoking among adults in New York City declined 12%, from 21.6% to 18.9% (P < .001), which represents about 130000 fewer adult smokers. The largest decline in smoking (21%) was among young adults aged 18 to 24 years: from 23.8% to 18.8% (P = .04), which represents about 38000 fewer smokers, or about 30% of the overall decline. However, within this age group, women account for nearly all of the decline; smoking among young women declined more than 40%, from 23.2% to 13.5% (P < .001), whereas smoking among young men did not decline significantly. No demographic subgroups of young adult men showed significant declines in current smoking between 2002 and 2005 (Table 2 ▶).
TABLE 2—
2002 | 2005 | 2002—2005 | ||||||
Sample Size, No. | Current Smokers, % (95% CI) | Population | Sample Size, No. | Current Smokers, % (95% CI) | Population | Smoking Prevalence Change, % | Smoking Prevalence Change, Population | |
Overall NYC prevalence | 2 113 | 21.5 (20.5, 22.6) | 1 280 280 | 1 884 | 18.9 (17.9, 19.9) | 1 149 881 | −12.1a | −130 399 |
Citywide analysis | ||||||||
Age, y | ||||||||
18–24 | 251 | 23.8 (20.7, 27.2) | 185 320 | 134 | 18.8 (15.5, 22.5) | 147 529 | −21.0a | −37 791 |
25–44 | 1 019 | 24.3 (22.7, 26.0) | 616 136 | 873 | 22.3 (20.7, 23.9) | 582 802 | −8.2 | −33 334 |
45–64 | 633 | 23.4 (21.4, 25.6) | 389 577 | 700 | 20.0 (18.4, 21.7) | 337 679 | −14.5a | −51 898 |
≥65 | 166 | 10.0 (8.4, 11.9) | 89 247 | 173 | 8.8 (7.4, 10.5) | 81 870 | −12.0 | −7 377 |
Young adult analysis | ||||||||
All young adults | 251 | 23.8 (20.7, 27.2) | 185 320 | 134 | 18.8 (15.5, 22.5) | 147 529 | −21.0a | −37 791 |
Race/ethnicity | ||||||||
Non-Hispanic White | 90 | 31.6 (25.0, 38.9) | 65 723 | 47 | 24.6 (18.1, 32.5) | 49 932 | −22.2 | −15 791 |
Non-Hispanic Black | 47 | 17.6 (12.3, 24.4) | 33 005 | 24 | 14.8 (9.2, 23.0) | 31 473 | −15.9 | −1 532 |
Hispanic | 88 | 24.7 (19.8, 30.5) | 67 247 | 51 | 22.6 (16.6, 30.0) | 56 569 | −8.5 | −10 678 |
Neighborhoodb | ||||||||
Low income | 110 | 25.8 (21.3, 31.0) | 78 388 | 55 | 18.7 (13.8, 24.9) | 58 208 | −27.5 | −20 180 |
Middle income | 75 | 24.4 (18.7, 31.2) | 67 970 | 39 | 14.9 (10.3, 21.1) | 42 843 | −38.9a | −25 127 |
High income | 66 | 19.7 150 | 38 962 | 40 | 24.8 (17.8, 33.5) | 46 478 | 25.9 | 7 516 |
Student status | ||||||||
Current student | 49 | 18.0 (12.9, 24.7) | 40 944 | 28 | 15.1 (10.0, 22.2) | 33 173 | −16.1 | −7 771 |
Current nonstudent | 201 | 26.2 (22.5, 30.3) | 143 842 | 106 | 20.5 (16.5, 25.2) | 114 357 | −21.8 | −29 485 |
Nativity | ||||||||
US born | 187 | 24.7 (21.1, 28.8) | 126 168 | 97 | 21.4 (17.1, 26.4) | 102 789 | −13.4 | −23 379 |
Foreign born | 63 | 21.9 (16.5, 28.4) | 58 619 | 37 | 14.7 (10.1, 20.9) | 44 740 | −32.9 | −13 879 |
Young adult women analysis | ||||||||
All young adult women | 130 | 23.2 (19.2, 27.8) | 93 086 | 58 | 13.5 (10.1, 17.8) | 52 879 | −41.8a | −40 207 |
Race/ethnicity | ||||||||
Non-Hispanic White | 43 | 29.4 (21.0, 39.5) | 33 376 | 20 | 20.6 (12.8, 31.4) | 20 566 | −29.9 | −12 810 |
Non-Hispanic Black | 25 | 13.4 (8.4, 20.6) | 13 319 | 12 | 10.5c (5.5, 19.2) | 11 786 | −21.6 | −1 533 |
Hispanic | 50 | 26.8 (20.0, 34.9) | 36 687 | 22 | 15.8 (9.8, 24.5) | 18 505 | −41.0a | −18 182 |
Neighborhoodb | ||||||||
Low income | 59 | 25.8 (19.8, 32.8) | 39 550 | 24 | 12.0 (7.5, 18.9) | 19 439 | −53.5a | −20 111 |
Middle income | 39 | 23.2 (16.1, 32.0) | 33 707 | 16 | 10.9 (6.2, 18.6) | 15 320 | −53.0a | −18 387 |
High income | 32 | 19.4 (12.8, 28.5) | 19 827 | 18 | 19.9 (12.1, 31.0) | 18 121 | 2.6 | −1 706 |
Young adult men analysis | ||||||||
All young adult men | 121 | 24.4 (19.9, 29.5) | 92 234 | 76 | 24.1 (18.8, 30.3) | 94 650 | −1.2 | 2 416 |
Race/ethnicity | ||||||||
Non-Hispanic White | 47 | 34.2 150 | 32 347 | 27 | 28.5 (18.9, 40.4) | 29 360 | −16.7 | −2 987 |
Non-Hispanic Black | 22 | 22.3 (13.5, 34.7) | 19 685 | 12 | 19.6c (10.2, 34.4) | 19 687 | −12.1 | 2 |
Hispanic | 38 | 22.6 (15.9, 31.1) | 30 560 | 29 | 28.6 (19.3, 40.3) | 38 064 | 26.5 | 7 504 |
Neighborhoodb | ||||||||
Low income | 51 | 25.9 (19.3, 33.8) | 38 837 | 31 | 25.8 (17.5, 36.4) | 38 770 | −0.4 | −67 |
Middle income | 36 | 25.8 (17.3, 36.6) | 34 263 | 23 | 18.7 (11.6, 28.8) | 27 524 | −27.5 | −6 739 |
High income | 34 | 20.1 (13.8, 28.2) | 19 134 | 22 | 29.5 (18.9, 42.9) | 28 357 | 46.8 | 9 223 |
Source. All data are from the Community Health Survey 2002 and 2005.
Note. Young adults were aged 18 to 24 years.
a Significant t test α = < 0.05.
bLow-income neighborhoods had 45% to 90% of residents living below 200% of the federal poverty level; middle income was 30% to 44% of residents living below 200% of the federal poverty level; high income was less than 30% of residents living below 200% of the federal poverty level.
cThis estimate should be interpreted with caution because of data variability.
Table 3 ▶ shows the demographic distribution of enrollment for the 2005 and 2006 patch programs, by age group and among young adults, compared with 2004 CHS estimates of heavy smokers (i.e., those who smoke 10 or more cigarettes per day and thus, were eligible for the program); 2004 was selected as the comparison year because it was the latest year for which these data were available. Overall, the 2005 patch program enrolled 8.3% of heavy smokers in New York City, and the 2006 patch program enrolled 6.6% of heavy smokers in New York City. However, stratification of enrollment by demographic subgroups shows distinct disparities in patterns of enrollment. The proportion of eligible young adults estimated to have enrolled in the program (5.0% in 2005 and 4.4% in 2006) was much lower than the citywide enrollment average. Further stratification of the young adult population by gender shows that much of the underenrollment is in young adult men, of whom 3.7% were enrolled in 2005 and 3.4% were enrolled in 2006. Young adult women had estimated enrollment rates much closer to the citywide average, at 7.6% in 2005 and 6.5% in 2006. Although young adult men overall were underenrolled, much of the disparity can be explained by very low enrollment among young adult Asian men, of whom less than 1% were enrolled in each program year. Note that larger sample sizes are needed to fully interpret this finding (Table 3 ▶).
TABLE 3—
2005 Nicotine Patch Program | 2006 Nicotine Patch Program | ||||
2004 CHS Population | No. Enrolled (% of NYC Heavy Smokers Enrolleda) | Used Some or All of Patches,b % | No. Enrolled (% of NYC Heavy Smokers Enrolleda) | Used Some or All of Patches,b % | |
NYC Current Heavy Smokingc | 541 563 | 45 144 (8.3%) | 65.7% | 35 730 (6.6%) | 69.7% |
Young adult analysis | |||||
All young adults | 54 058 | 2 685 (5.0%) | 72.1% | 2 381 (4.4%) | 76.1% |
Race/ethnicity | |||||
Non-Hispanic White | 17 743 | 1 177 (6.6%) | 70.6% | 962 (5.4%) | 75.4% |
Non-Hispanic Black | 9 144 | 498 (5.4%) | 72.3% | 451 (4.9%) | 68.6% |
Hispanic | 15 515 | 737 (4.8%) | 73.4% | 680 (4.4%) | 80.1% |
Asian | 9 836 | 126 (1.3%) | 75.8% | 95 (1.0%) | 83.7% |
Neighborhoode | |||||
Low income | 16 137 | 840 (5.2%) | 73.7% | 804 (5.0%) | 74.8% |
Middle income | 18 480 | 1 014 (5.5%) | 69.4% | 858 (4.6%) | 77.4% |
High income | 19 441 | 826 (4.2%) | 73.7% | 714 (3.7%) | 76.1% |
Nativity | |||||
US born | 41 310 | 2 177 (5.3%) | 71.5% | 1 911 (4.6%) | 75.9% |
Foreign born | 12 748 | 507 (4.0%) | 74.1% | 468 (3.7%) | 76.7% |
Young adult women analysis | |||||
All young adult women | 17 844 | 1 355 (7.6%) | 67.5% | 1 157 (6.5%) | 74.7% |
Race/ethnicity | |||||
Non-Hispanic White | 5 550 | 543 (9.8%) | 64.7% | 416 (7.5%) | 75.6% |
Non-Hispanic Black | 3 221 | 308 (9.6%) | 65.8% | 276 (8.6%) | 67.0% |
Hispanic | 7 065 | 401 (5.7%) | 71.2% | 343 (4.9%) | 77.3% |
Asian | 744d | 44 (5.9%) | 70.0% | 36 (4.8%) | 100.0% |
Young adult men analysis | |||||
All young adult men | 36 214 | 1330 (3.7%) | 77.1% | 1 223 (3.4%) | 77.4% |
Race/ethnicity | |||||
Non-Hispanic White | 12 194 | 634 (5.2%) | 75.7% | 546 (4.5%) | 75.3% |
Non-Hispanic Black | 5 923 | 190 (3.2%) | 85.3% | 175 (3.0%) | 71.4% |
Hispanic | 8 449 | 336 (4.0%) | 76.2% | 337 (4.0%) | 82.8% |
Asian | 9 092d | 82 (0.9%) | 78.6% | 59 (0.6%) | 75.0% |
aRace/ethnicity totals may not add to 100%, because “Other” is not shown.
bAmong those who completed the counseling call.
cHeavy smoking was defined as smoking 10 or more cigarettes per day, the minimum cigarettes per day to be eligible for the patch giveaway.
dThis estimate should be interpreted with caution because of data variability.
eLow-income neighborhoods had 45% to 90% of residents living below 200% of the federal poverty level; middle income was 30% to 44% of residents living below 200% of the federal poverty level; high income was less than 30% of residents living below 200% of the federal poverty level.
Although young adults underenrolled in the patch giveaways, data from the counseling call showed they were somewhat more likely to use the patches than were other age groups (although patch use was high among all age groups). About three quarters (76%) of young adults reported using some or all NRT patches, which is a significantly higher percentage than program enrollees overall (69.7%). Almost every subgroup defined by gender, race/ethnicity, or income showed nearly 75% use of some or all patches (Table 3 ▶).
Overall, in analyses using CHS data, current smokers were less likely to be young adults, as shown in the bivariate analyses. In a logistic regression model and adjusting for gender, race/ethnicity, income, student status, and foreign-born status, the relation between age and smoking status was no longer significant.
Within the young adult population, men were significantly more likely than were women to be current smokers (odds ratio [OR] = 2.0; 95% confidence interval [CI]1= 0.5, 2.8). No significant bivariate relations were found between smoking and race/ethnicity, or between smoking and income. Foreign-born young adults were significantly less likely to be current smokers (OR = 0.7; 95% CI = 0.5, 0.9). The significant relations between gender and smoking and between foreign-born status and smoking remained in the adjusted model.
Young adults were significantly more likely to use patches than were any other age group, both in the bivariate and adjusted analyses. Among young adults, men were more likely to report using patches than were women, as were foreign-born young adults when compared with US-born young adults. In the adjusted model, men remained more likely to use patches, but no other significant relations were found. In both the unadjusted and adjusted models, the gender difference was of marginal statistical significance (Table 4 ▶).
TABLE 4—
Current Smoking (citywide model n = 3 665;young adult model n = 278) | Use some or all patches (citywide model n = 8 473;young adult model n = 662) | |||
Bivariate OR (95% CI) | Adjusted ORa (95% CI) | Bivariate OR (95% CI) | Adjusted ORb (95% CI) | |
Citywide model | ||||
Age, y | ||||
18–24 (Ref) | 1.0 | 1.0 | 1.0 | 1.0 |
25–44 | 1.3 (1.1, 1.5) | 1.3 (1.0, 1.5) | 0.7 (0.6, 0.8) | 0.7 (0.6, 0.8) |
45–64 | 1.2 (1.0, 1.4) | 1.1 (0.9, 1.4) | 0.6 (0.5, 0.7) | 0.6 (.05, 0.7) |
≥65 | 0.4 (0.4, 0.5) | 0.4 (0.3, 0.6) | 0.6 (0.5, 0.7) | 0.7 (0.5, 0.8) |
Young adult model | ||||
Gender | ||||
Women (Ref) | 1.0 | 1.0 | 1.0 | 1.0 |
Men | 2.0 (1.5, 2.8) | 2.1 (1.5, 2.9) | 1.5 (1.0, 2.1) | 1.5 (1.0, 2.1) |
Race/ethnicity | ||||
Non-Hispanic White (Ref) | 1.0 | 1.0 | 1.0 | 1.0 |
Non-Hispanic Black | 0.6 (0.4, 1.0) | 0.7 (0.4, 1.0) | 0.9 (0.6, 1.5) | 1.0 (0.6, 1.7) |
Hispanic | 1.2 (0.9, 1.8) | 1.3 (0.8, 2.0) | 1.5 (0.9, 2.3) | 1.5 (0.9, 2.4) |
Asian | 0.8 (0.4, 1.4) | 1.0 (0.5, 1.9) | 3.4 (1.0, 11.3) | 3.0 (0.9, 10.0) |
Other | 0.8 (0.3, 2.0) | 1.0 (0.4, 2.5) | 1.1 (0.5, 2.3) | 1.0 (0.5, 2.1) |
Neighborhoodc | ||||
Low income (Ref) | 1.0 | 1.0 | 1.0 | 1.0 |
Middle income | 0.8 (0.5, 1.2) | 0.8 (0.5, 1.3) | 1.0 (0.6, 1.6) | 1.0 (0.6, 1.6) |
High income | 0.9 (0.6, 1.3) | 0.9 (0.6, 1.4) | 1.0 (0.6, 1.6) | 1.0 (0.6, 1.6) |
Nativity | ||||
US born (Ref) | 1.0 | 1.0 | 1.0 | 1.0 |
Foreign born | 0.7 (0.5, 0.9) | 0.6 (0.4, 0.9) | 1.5 (1.0, 2.5) | 1.4 (0.8, 2.2) |
aAdjusted for gender, race/ethnicity, foreign born status, income, and student status.
bAdjusted for gender, race/ethnicity, foreign born status, and income; student status not available in nicotine patch program data.
cLow-income neighborhoods had 45% to 90% of residents living below 200% of the federal poverty level; middle income was 30% to 44% of residents living below 200% of the federal poverty level; and high income was less than 30% of residents living below 200% of the federal poverty level.
DISCUSSION
Our work illustrates progress in reducing smoking among young adults, although declines were seen almost exclusively in the population of young women. In New York City, the progress made in smoking cessation among young adult women (41.8% decline in smoking) far exceeds that among young adult women nationally (12.2% decline from 2002 to 2004).11 Conversely, smoking prevalence among young adult men in New York City was stagnant between 2002 and 2005 but declined nationally among young adult men by 20% between 2002 and 2004.11 These data suggest that some of the comprehensive tobacco control strategies implemented by New York City, such as smoke-free workplace legislation and increases in the price of cigarettes, may be more effective in young adult women than young adult men, and that some of the progress seen in New York City may be part of a secular national trend. Previous research has shown the importance of young adulthood as a time when smoking behaviors are established,2 and our findings provide evidence that comprehensive tobacco control programs that deliver cessation services to young adults can be effective, although young adult men may require specific outreach.
The gender disparity in smoking declines among New York City young adult populations demonstrates a need for effective approaches to reach young adult men. Although patch use was high in most demographic subgroups, young adults in particular were more likely to use patches than people in all other age groups. This finding, together with the finding that young adults who participated in the 2003 giveaway were somewhat more likely to quit smoking (OR = 1.4; 95% CI = 0.9, 2.4) compared with the reference group of adults aged 25 to 44 years17 suggests that tobacco cessation programs might wisely invest in outreach and recruitment strategies to young adults, especially men. Tobacco industry research provides ample evidence of effective methods for outreach to and recruitment of young adults.23
Young adults are being successfully targeted by the tobacco industry at entertainment venues, such as in bars and clubs, and at promotional events, such as parties, concerts, and sporting events.24–26 Most bar- and club-going young adults report having seen tobacco industry promotions.27 The tobacco industry has also developed marketing strategies for young adults that include interactive Web sites, list-servs, and other new media formats.28,29 Tobacco control programs need to make better use of outreach channels such as those being used effectively by the tobacco industry to reach young adults.
Resource allocation should follow epidemiological findings. Future patch giveaways in New York City will strengthen outreach to the young adult population, particularly young men in general and young Asian men in particular. Radio advertising provides an opportunity to create tailored messages. New York City will also promote giveaways in the alternative press or on Web sites visited by New York City young adults and may utilize text messaging or e-mail outreach strategies.
Limitations
There are several limitations to this study. First, the cross-sectional nature of the CHS limits the ability to interpret causal relations. Additionally, self-reported measures of smoking may be subject to some response bias. Second, as with many analyses of changes in age-group stratified outcomes in multiple years of cross-sectional surveys, it is possible that the change demonstrated is the product of a cohort effect and not of actual changes in young adult behaviors. Because New York City has demonstrated a sharp decline in smoking among public high school students, part of the demonstrated decline may be a result of public high school students in 2002 “aging” into the 18- to 24-year-old cohort. Third, use of NRT as reported in the follow-up calls should be interpreted with some caution because of the low rate of completed calls. Finally, conclusions drawn about the use of the patch program are limited by the 3-week postenrollment follow-up evaluation. However, previously published findings on the 2003 evaluation15 provide some evidence that young adults aged 18 to 24 years may have had an increased likelihood to quit. Future evaluation of the 2006 populationwide NRT distribution program will provide enhanced opportunity to further investigate this finding.
Conclusions
Ever since the 1998 Master Settlement Agreement prohibited the tobacco industry from overtly promoting smoking to youth younger than 18, young adults have become their primary target market. It is critically important that cessation messages reach the young adult population. Cessation programs such as populationwide NRT distribution—which serves the dual purpose of providing resources to help smokers quit and reminding smokers of the importance of quitting—remain an important component of comprehensive tobacco control. Data from the NRT giveaways show that, although citywide efforts to promote NRT giveaway enrollment may effectively reach young adult women, young adult men may require targeted outreach. Given these findings, tobacco control programs that use NRT distribution as a major component of cessation services should consider devoting resources to enrolling young adult men, and should support continued enrollment among young adult women. Subsequent successes in young adult cessation, especially among men, will be invaluable to reduce smoking-related morbidity and mortality at the population level.
Acknowledgments
The New York City Department of Health and Mental Hygiene supported the study. No outside funding was provided.
The authors thank Thomas R. Frieden, Mary T. Bassett, Drew Blakeman, and Daniel Kass for valuable suggestions on drafts of the article. We also thank Mary Huynh and Chitra Ramaswamy for careful review of the Community Health Survey data analysis.
Human Participant Protection This study was approved by the institutional review board of the New York City Department of Health and Mental Hygiene.
Peer Reviewed
Contributors J.A. Ellis and S.B. Perl designed the analyses; J.A. Ellis and K. Davis conducted the analyses. J.A. Ellis and L. Vichinsky wrote the first draft of the article. All authors contributed to writing and editing the final draft of the article.
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