Literature DB >> 32857030

Association Between the Tips From Former Smokers Campaign and Smoking Cessation Among Adults, United States, 2012-2018.

Rebecca Murphy-Hoefer1,2, Kevin C Davis3, Brian A King1, Diane Beistle1, Robert Rodes1, Corinne Graffunder1.   

Abstract

In 2012, the Centers for Disease Control and Prevention (CDC) launched the national Tips From Former Smokers (Tips) campaign to encourage people who smoke to quit by showing real-life heath consequences of tobacco use and promoting evidence-based resources for quitting. To assess the campaign's impact on quit attempts and sustained-quit estimates (ie, quits lasting ≥6 mos), CDC analyzed data from a nationally representative longitudinal survey of US adults who smoke cigarettes, aged 18 years or older in 2012-2018. The Tips campaign was associated with an estimated 16.4 million quit attempts and 1,005,419 sustained quits. Continued implementation of cessation campaigns, including the Tips campaign, could accelerate progress toward reducing rates of smoking-related diseases and death.

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Mesh:

Year:  2020        PMID: 32857030      PMCID: PMC7478162          DOI: 10.5888/pcd17.200052

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


What is already known on this topic?

The Centers for Disease Control and Prevention’s Tips From Former Smokers (Tips) campaign is associated with increased quit attempts among specific populations of people who smoke, including African Americans, pregnant women, people with mental health conditions, and those with lower educational attainment. The campaign increases calls to smoker quitlines and visits to the Tips website and other cessation resources.

What is added by this report?

During 2012–2018, the Tips campaign was associated with an estimated 16.4 million quit attempts and more than 1 million sustained quits among US adults.

What are the implications for public health practice?

Mass media campaigns, such as the Tips campaign, can increase smoking quit attempts and sustained quits as part of a comprehensive approach to reducing smoking-related disease and premature death in the United States. In support of improving patient care, this activity has been planned and implemented by Medscape, LLC and Preventing Chronic Disease. Medscape, LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Medscape, LLC designates this Journal-based CME activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.0 MOC points in the American Board of Internal Medicine’s (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider’s responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit. Release date: August 27, 2020; Expiration date: August 27, 2021

Learning Objectives

Upon completion of this activity, participants will be able to: Distinguish the ratio of persons who die from smoking-related illness to persons living with smoking-related illness Assess the efficacy of the Tips From Former Smokers program Analyze characteristics associated with higher rates of attempts to quit smoking EDITOR Camille Martin, RD Editor Preventing Chronic Disease Disclosure: Camille Martin, RD, has disclosed no relevant financial relationships. CME AUTHOR Charles P. Vega, MD Health Sciences Clinical Professor of Family Medicine University of California, Irvine, School of Medicine Irvine, California Disclosure: Charles P. Vega, MD, has disclosed the following relevant financial relationships: Served as an advisor or consultant for: Johnson & Johnson Pharmaceutical Research & Development, LLC; GlaxoSmithKline Served as a speaker or a member of a speakers bureau for: Genentech, GlaxoSmithKline AUTHORS Rebecca Murphy-Hoefer, PhD, MPH Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention (CDC) Atlanta, Georgia Disclosure: Rebecca Murphy-Hoefer, PhD, MPH, has disclosed no relevant financial relationships. Kevin C. Davis, MA Center for Health Policy Science and Tobacco Research RTI International Research Triangle Park, North Carolina Disclosure: Kevin C. Davis, MA, has disclosed no relevant financial relationships. Brian A. King, PhD, MPH Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention (CDC) Atlanta, Georgia Disclosure: Brian A. King, PhD, MPH, has disclosed no relevant financial relationships. Diane Beistle, BA Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention (CDC) Atlanta, Georgia Disclosure: Diane Beistle, BA, has disclosed no relevant financial relationships. Robert Rodes, MS, MBA Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention (CDC) Atlanta, Georgia Disclosure: Robert Rodes, MS, MBA, has disclosed the following relevant financial relationships: Other: Spouse is employed by Elekta, Inc. Corinne Graffunder, DrPH, MPH Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention (CDC) Atlanta, Georgia Disclosure: Corinne Graffunder, DrPH, MPH, has disclosed no relevant financial relationships.

Objective

Cigarette smoking remains the leading cause of preventable death in the United States (1). For every person who dies because of cigarette smoking, at least 30 people live with a serious smoking-related illness (1). Evidence-based media campaigns can increase tobacco cessation, increase use of cessation resources such as quitlines, and change tobacco-related social norms (2,3). This study aimed to determine the 7-year impact of the Tips From Former Smokers (Tips) campaign on population-level smoking cessation by measuring cumulative campaign-associated quit attempts and sustained quit estimates, accounting for smoking relapse.

Methods

The Centers for Disease Control and Prevention (CDC) collected data from the KnowledgePanel (www.knpanel.com) (KP), an ongoing national online survey of adults in the United States. KP recruitment is conducted through random sampling of US household mailing addresses, and respondents are followed over time, allowing for participation in multiple survey waves. Current cigarette smokers are defined as people who smoked at least 100 cigarettes in their lifetime and who smoked every day or some days at the time of survey. We included data from the 2012–2018 waves of this survey (N = 35,275 observations on 9,653 unique current smokers) to assess the impact of Tips campaign exposure on quit attempts and sustained quit estimates. We used a geography-based quasi-experimental design that relates variation in Tips campaign exposure across media markets and time to individual quit attempt behaviors across time. Quit attempts in the past 3 months among current cigarette smokers were assessed by asking, “During the past 3 months, how many times have you stopped smoking for 1 day or longer because you were trying to quit smoking cigarettes for good?” We created an indicator variable for having made at least 1 quit attempt in the past 3 months. Tips campaign exposure was determined by calculating past 3-month cumulative campaign television gross ratings points (GRPs, a measure of market-level campaign dose) and merging them with individual survey responses based on respondents’ media market of residence and survey date. We used logistic regression to relate self-reported quit attempts in the past 3 months to GRPs (3). The model controlled for age, sex, race/ethnicity, education level, annual household income, presence of chronic physical or mental health conditions, tobacco surveys taken in the past year, presence of children in the household, presence of others who smoke cigarettes in the household, cigarette smoking prevalence in the respondent’s television market, state fixed effects, and a linear time trend to control for secular trends over time. Model results were used to estimate the predicted quit attempt rate differential between observed doses of zero GRPs (ie, no campaign) and the average quarterly Tips campaign dose of 1,200 GRPs from 2012 to 2018 (ie, matching CDC recommendations on GRP dose) (2). The quit attempt rate differential was then multiplied by the yearly adult smoker population to create an initial estimate of total campaign-attributable quit attempts for each year during 2012–2018. Finally, the year-specific projections of campaign-attributable quit attempts were adjusted to account for the number of quarters the campaign was on the air in each year. Sustained quit estimates were calculated using the estimated proportion of campaign-attributable quit attempters who remained abstinent from smoking at 6-month follow-up. On the basis of survey timing and resources, we were able to estimate sustained quitting during 4 of the 7 years of data in the analysis. Sustained quit rates averaged 7.2% in the available data. Because our sample was not designed to measure longer-term relapse, we used literature-based estimates (4,5) to calculate approximate relapse (15.3%) for 1 year after the initial 6 months of cigarette abstinence.

Results

The Tips campaign was correlated with increased odds of a quit attempt in the past 3 months (odds ratio = 1.19; 95% confidence interval [CI], 1.11–1.27) (Table 1). An average of 1,200 GRPs per quarter translated into a 3.9 (95% CI, 3.4–4.3) percentage point increase in quit attempts per quarter during 2012–2018. Past 3-month quit attempt rates ranged from 32.5% in the absence of the campaign (0 GRPs) to 39.7% (4,000 GRPs) during the 2012–2018 campaigns (4,000 GRPs). Approximately 16.4 million quit attempts and an estimated 1,005,419 sustained quits lasting at least 1 year (95% CI, 876,519–1,108,539) were associated with Tips during 2012–2018 (Table 2). Sustained quit estimates ranged from 103,729 in 2012 to 188,577 in 2017.
Table 1

Association Between Making a Quit Attempt in the Past 3 Months and Select Characteristics, Tips From Former Smokers Campaign, United States, 2012–2018

Model Covariatea OR (95% CI)
Total campaign mass media market GRPs, past 3 months (square root functional form) 1.19 (1.11–1.27)
Age 0.98 (0.98–0.99)
Sex
Female1 [Reference]
Male0.87 (0.78–0.97)
Race/ethnicity
White1 [Reference]
Black1.55 (1.29–1.86)
Hispanic1.90 (1.59–2.26)
Other1.37 (1.08–1.75)
Education
Less than high school1 [Reference]
High school diploma1.08 (0.91–1.29)
Some college1.28 (1.08–1.52)
Bachelor's degree or higher1.69 (1.38–2.06)
Annual household income, $
<20,0001 [Reference]
20,000–49,9990.88 (0.78–1.00)
50,000–99,9990.97 (0.84–1.12)
≥100,0000.80 (0.67–0.97)
Chronic condition 1 [Reference]
Physical1.27 (1.14–1.42)
Mental1.08 (0.97–1.20)
Tobacco surveys past year 0.93 (0.90–0.96)
Child in household 1.25 (1.12–1.40)
Smoker in household 0.56 (0.51–0.62)
Smoking prevalence (mass media market level) 0.99 (0.96–1.02)
Linear time 0.997 (0.99–1.00)
No. of model observations 35,275

Abbreviations: CI, confidence interval; GRPs, gross rating points; OR, odds ratio.

Model includes covariates for state fixed effects (not shown).

Table 2

Estimated Campaign Cumulative Impact on Sustained Quits, Tips From Former Smokers Campaign, United States, 2012–2018

Campaign YearDates On AirNumber of Quarters Campaign on AirEstimated Campaign-Associated Quit Attempts (n = 16,440,928)Estimated Campaign-Associated Sustained Quitsa (n = 1,005,419)
2012March 19–June 191.001,696,214103,729
2013March 4–June 171.161,964,772120,152
2014February 3–April 6; July 7–September 71.502,436,389148,994
2015March 30–August 161.492,198,523134,447
2016January 25–June 121.532,385,108145,858
2017January 9–July 302.223,083,677188,577
2018April 23–October 141.922,676,245163,662

Assuming a 15.3% relapse rate.

Abbreviations: CI, confidence interval; GRPs, gross rating points; OR, odds ratio. Model includes covariates for state fixed effects (not shown). Assuming a 15.3% relapse rate.

Discussion

During 2012–2018, the Tips campaign contributed to 16.4 million quit attempts and more than 1 million estimated sustained quits. These results are consistent with previous evaluations of the Tips campaign that have shown significant campaign effects on quit attempts and sustained quit estimates (eg, 1.6 million and 100,000 in 2012 (6); 1.83 million and 104,000 in 2014 (7); and 9 million and 522,000 in 2012–2015 (8), respectively). Additionally, the impact of Tips on quit attempts was recently supported with a study using data from the Behavioral Risk Factor Surveillance System (9). Prior studies have also reported the impact of the Tips campaign on quit attempts among specific populations, including African Americans, pregnant women, people with mental health conditions, and those with less educational attainment (10). The campaign has also been associated with cessation-related outcomes, such as increased calls to 1–800-QUIT-NOW (6) and 1–855-DEJELO-YA (a national portal that routes Spanish-speaking callers to Spanish-language services from callers’ state quitlines) (11), and visits to the Tips campaign website and other cessation resources (10). These findings are subject to at least 2 limitations. The analysis used an average campaign effect estimated from 2012 to 2018. Although this effect may vary across years, research does not indicate significant variation in campaign effects over time (3). Another limitation is that we measured only television exposure and not other campaign channels such as radio, digital media, or billboards. Therefore, the estimated campaign effects may be conservative if total campaign exposure was underestimated. In summary, the Tips campaign led to an estimated 16.4 million quit attempts and more than 1 million estimated sustained quits during 2012–2018, demonstrating that public health campaigns can be effective when they are based on scientific evidence and are of sufficient intensity and duration (2).
  8 in total

1.  Effect of the first federally funded US antismoking national media campaign.

Authors:  Tim McAfee; Kevin C Davis; Robert L Alexander; Terry F Pechacek; Rebecca Bunnell
Journal:  Lancet       Date:  2013-09-09       Impact factor: 79.321

2.  Impact of U.S. Antismoking TV Ads on Spanish-Language Quitline Calls.

Authors:  Lei Zhang; Stephen Babb; Michelle Johns; Nathan Mann; Jesse Thompson; Asma Shaikh; Rene Lavinghouze; Robert Rodes; Ann Malarcher
Journal:  Am J Prev Med       Date:  2018-10       Impact factor: 5.043

3.  Association of electronic cigarette vaping and subsequent smoking relapse among former smokers.

Authors:  Hongying Dai; Adam M Leventhal
Journal:  Drug Alcohol Depend       Date:  2019-03-15       Impact factor: 4.492

4.  Association Between Media Doses of the Tips From Former Smokers Campaign and Cessation Behaviors and Intentions to Quit Among Cigarette Smokers, 2012-2015.

Authors:  Kevin C Davis; Deesha Patel; Paul Shafer; Jennifer Duke; Rebecca Glover-Kudon; William Ridgeway; Shanna Cox
Journal:  Health Educ Behav       Date:  2017-05-12

5.  Predictors of smoking relapse by duration of abstinence: findings from the International Tobacco Control (ITC) Four Country Survey.

Authors:  Natalie Herd; Ron Borland; Andrew Hyland
Journal:  Addiction       Date:  2009-12       Impact factor: 6.526

6.  Evaluation of the National Tips From Former Smokers Campaign: the 2014 Longitudinal Cohort.

Authors:  Linda J Neff; Deesha Patel; Kevin Davis; William Ridgeway; Paul Shafer; Shanna Cox
Journal:  Prev Chronic Dis       Date:  2016-03-24       Impact factor: 2.830

7.  Evidence of the Impact of the Tips From Former Smokers Campaign: Results From the Behavioral Risk Factor Surveillance System.

Authors:  Kevin C Davis; Rebecca Murphy-Hoefer; Burton Levine; Brian A King; Sean Hu; Robert Rodes
Journal:  Prev Chronic Dis       Date:  2019-10-10       Impact factor: 2.830

8.  Impact of the Tips From Former Smokers Campaign on Population-Level Smoking Cessation, 2012-2015.

Authors:  Rebecca Murphy-Hoefer; Kevin C Davis; Diane Beistle; Brian A King; Jennifer Duke; Robert Rodes; Corinne Graffunder
Journal:  Prev Chronic Dis       Date:  2018-05-31       Impact factor: 2.830

  8 in total
  3 in total

1.  Population-level counterfactual trend modelling to examine the relationship between smoking prevalence and e-cigarette use among US adults.

Authors:  Floe Foxon; Arielle Selya; Joe Gitchell; Saul Shiffman
Journal:  BMC Public Health       Date:  2022-10-19       Impact factor: 4.135

2.  Cost Effectiveness of the Tips From Former Smokers® Campaign-U.S., 2012-2018.

Authors:  Sundar S Shrestha; Kevin Davis; Nathan Mann; Nathaniel Taylor; James Nonnemaker; Rebecca Murphy-Hoefer; Katrina F Trivers; Brian A King; Stephen D Babb; Brian S Armour
Journal:  Am J Prev Med       Date:  2021-01-14       Impact factor: 6.604

3.  Intentions and Attempts to Quit Smoking Among Sexual Minoritized Adult Smokers After Exposure to the Tips From Former Smokers Campaign.

Authors:  Yu Wang; Zongshuan Duan; Sherry L Emery; Scott R Weaver; Shannon R Self-Brown; David L Ashley; Jidong Huang
Journal:  JAMA Netw Open       Date:  2022-05-02
  3 in total

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