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Published in final edited form as: Tob Control. 2012 Oct 23;23(1):10.1136/tobaccocontrol-2012-050473. doi: 10.1136/tobaccocontrol-2012-050473

Contextual and Community Factors Associated with Youth Access to Cigarettes through Commercial Sources

Sharon Lipperman-Kreda 1,, Joel W Grube 1, Karen B Friend 2
PMCID: PMC3578042  NIHMSID: NIHMS417294  PMID: 23092887

Abstract

Objectives

This study examines contextual and community level characteristics associated with youth access to tobacco through commercial sources in 50 non-contiguous mid-sized California communities.

Methods

The study is based on data from access surveys conducted by 4 confederate buyers (2 males and 2 females) in 997 tobacco outlets. City demographics, adult smoking prevalence and measures of tobacco outlet density, local tobacco retailer licensing and cigarette tax were included.

Results

Multilevel regression analyses indicated that buyer actual age, a male clerk and asking young buyers about their age were related to successful cigarette purchases. Buyer actual age and minimum age signs increased the likelihood that clerks will request an ID. At the community level, higher percentage of minors, higher education, and a greater percentage of African Americans were associated with increased likelihood of a successful purchase. Lower percentage of minors, lower education, lower percentage of African Americans, and having a local tobacco retailer licensing were associated with retailer asked for ID. Additionally, supermarkets charged significantly more for a pack of cigarettes than small markets whereas smoke/tobacco shops and drug stores/pharmacies charged less. Higher prices were associated with higher median household income and greater percentage of Hispanics. Findings about community characteristics, however, differed by cigarette brand.

Conclusions

This study enhances our understanding of the associations between contextual and community characteristics and youth access to tobacco through commercial sources which can help policymakers to identify and target at-risk communities and outlets to decrease youth access to tobacco.

Keywords: Youth access to cigarettes, commercial cigarette availability, local cigarette price, contextual level characteristics, community level characteristics

INTRODUCTION

Available research suggests potential associations between community characteristics and physical and economic availability of cigarettes to youth. However, much of this research is limited by the number of community characteristics that have been included and the lack of diversity of the communities that have been studied. Moreover, although some studies have modeled characteristics related to tobacco sales to youths (i.e., buyer characteristics, clerk characteristics, or characteristics related to the retail environment), none has modeled a full range of contextual characteristics together with community characteristics. Since illegal tobacco purchase attempts by minors occur in an ecological environment that includes various contextual and community characteristics, this approach can highlight ways to tailor policies to more effectively reduce youth access to cigarettes via commercial sources. The present study investigates the associations between a wide range of contextual and community-level characteristics and retailer compliance with underage tobacco sales laws and with cigarette pack prices in 50 non-contiguous mid-sized California communities.

Reducing youth access to tobacco products from commercial sources through (1) implementation and enforcement of policies that target retailers and clerks who sell such products to young people and (2) increasing taxes, and therefore cigarette prices are recommended to control tobacco use by youth [14]. A comprehensive review that evaluated efforts to prevent the sale of tobacco to youth concluded that every intervention that has successfully disrupted the sale of tobacco to minors has been associated with an observed reduction in tobacco use by youth [5]. Also, higher cigarette prices decrease cigarette smoking [68], particularly among youth, who are more price sensitive than adults [9, 10].

Contextual factors associated with youth access to tobacco products from commercial sources include characteristics of youth buyers and retail clerks. Research has shown that girls and older minors are more successful in their purchase attempts [1115]. Findings related to characteristics of store clerks, including gender and age, are mixed. For example, a study which used federal compliance data from 36 states found that female clerks were more likely to sell tobacco to minors [13]. In contrast, other studies have found that illegal sales are more likely when a clerk is male [12, 16] or did not find any relationship between clerk gender and tobacco sales to minors [11, 17]. Similarly, while studies by Pearson et al [15] and DiFranza et al [18] found that clerks judged to be less than 18 or 21 years of age (respectively) were more likely to make an illegal sale, no such relation was reported in other studies [11, 17]. A few studies that examined youth and clerk ethnicity have shown that White clerks were more likely to sell cigarette to youth [12, 19], and that cigarette sales to minority youth were higher than to White youth [12, 20].

Factors related to the retail environment have also been examined. For example, a lower likelihood of illegal sales rate was associated with chain stores compared to independent stores in California [21]. In another study, sales rates were highest in gas stations [13], and a study in a metropolitan county in Washington State found that convenience stores selling gas were more likely to sell tobacco products to minors than restaurants, bars, and tobacco discount stores [15]. Age-of-sale signs, asking about the purchaser’s age, and requesting purchaser IDs were also associated with lower rates of underage sales [13, 16, 17, 22].

Less is known about the relationship between youth access to tobacco products from commercial sources and community characteristics. In one study, rural location was associated with increased underage sales [13]. A study by Lipton et al [23] found that areas of higher sales to minors in Los Angeles had lower mean family income, a higher percentage of foreign born residents, and greater population density. In southern California, Klonoff et al [24] found that minors were able to purchase single cigarettes in 71.2% of visits to minority neighborhoods, but could do so only in 34.4% of visits to predominately white neighborhoods. No neighborhood differences in illegal sales of cigarette packs were found [12]. Similarly, in a case study in Miami, Florida, underage tobacco sales were significantly more concentrated in Hispanic-majority neighborhoods [25]. These investigations are illustrative but omit other important community characteristics, such as tobacco policies and adult smoking prevalence, that might also be associated with higher or lower sales rates.

Focusing on economic availability, a Minnesota study of pack prices in one metropolitan area observed that the maximum price was 1.7 to 1.8 times higher than the lowest price for the same brand [26]. A positive association between percentage of nonwhite residents and the price of discount and premium cigarettes, as well as the overall mean price, was found. No such relation was found with the price of menthol cigarettes. Prices of premium cigarettes and the overall mean price were lower in neighborhoods with a higher percentage of youth. Going beyond previous research, the present study examines the associations between a wide range of contextual and community-level characteristics and retailer compliance with underage tobacco sales laws and with pack prices in 50 non-contiguous mid-sized California communities.

METHODS

Study sample and survey methods

This study used data from access surveys conducted by 4 confederate buyers (2 males and 2 females), who were over age 18 but judged to appear younger by an independent panel. Purchase attempts were made at 997 tobacco outlets in 50 midsized California cities. To select 50 non-contiguous California cities, the initial sample frame comprised all 138 California cities with populations between 50,000 and 500,000. We randomly sampled one city and then eliminated all contiguous cities, all cities contiguous to those cities and those that were within a one-mile radius of the selected city. This process was repeated until 50 cities were selected. The resulting sample of 50 cities is a purposive geographic sample intended to maximize validity with regard to the geography and ecology of the state [27]. There were no significant differences between the sampled and the unsampled cities in relation to population size, ethnic diversity, household size, and median household incomes.

Twenty randomly selected tobacco outlets in each city were surveyed to collect information on compliance with underage tobacco sales laws and cigarette prices. Because comprehensive address lists for tobacco outlets in California are not available, outlets were randomly sampled from lists created specifically for the current study. Shape files of parcel or zoning areas with recent zoning attributes were obtained from each of the 50 cities. For 5 cities without usable Geographic Information System files, a zoning map was obtained. Zoning code definitions were reviewed to indicate which areas could include tobacco retailers. Map books were made for field study coordinators. For all but the five largest cities (i.e., cities with population more than 200,000), the map books included all retail/commercial areas within the city. For the five most populous cities, retail/commercial areas were randomly selected until a minimum of 124 outlets were identified. Observations in the 50 cities then documented retailer addresses.

Randomly selected tobacco outlets in each city were surveyed by a team of two buyers. At each outlet a single buyer attempted to purchase a pack of Marlboro or Newport cigarettes, which are the most popular cigarette brands among high-school-aged students [28]. Each buyer asked for Marlboro in one outlet and Newport in the next one. If asked about their age they stated that they were over 18 years old and if asked for age identification they indicated they had none. If a sale was refused, the buyers left without attempting to pressure the clerk. After leaving the outlet, the buyer recorded the purchase outcome and outlet data on a standardized form. These protocols have been successfully used in studies of youth access to alcohol [2931] and tobacco [32, 33]. Institutional review board approval was obtained prior to study implementation.

Measures

Retail-level measures

Independent variables

The following data, documented by the confederate buyers after leaving the outlets, were used: age requested (no/yes), clerk gender (male/female), approximate age of the clerk (numeric age), the number of customers in line at the time of the purchase attempt, the presence of warning signs about tobacco sales to minors in the store (no/yes), and the type of outlet (i.e., small market, supermarket, convenience store, pharmacy/drug store, liquor store, tobacco store, and other). Buyers’ gender and actual age were also included as variables in the analyses.

Outcome variables

The confederate buyers documented whether the sale was made (no/yes), whether asked to show an ID (no/yes), and the price of the pack of cigarettes (including tax) they purchased or attempted to purchase. Outlets where buyers could not ascertain the price of a pack of cigarettes during the purchase attempt were later telephoned. We excluded three surveys in which the confederate buyer attempted to purchase a pack of cigarettes other than Marlboro or Newport.

Community-level measures

City demographics

Measures of city demographics were obtained from 2010 GeoLytics data [34]. City characteristics included population density (i.e., population per roadway mile), percentage of population under 18 years old, median family income, percentage of population that was African-American, percentage of population that was Hispanic, and percentage of population with a college education. All city-level demographics were standardized.

Adult smoking prevalence

Adult smoking prevalence in each city was ascertained from a survey of 8,918 adults over the age of 21 years old conducted in the same 50 cities as a part of another study. Respondents were surveyed through a random digit dial computer-assisted telephone interview and were asked whether they currently smoked cigarettes every day, some days, or not at all. Adult smoking prevalence was computed as the percentage of every-day and some-day smokers in each city.

Tobacco outlet density

The total number of licensed tobacco retail establishments in each city was obtained from State of California Board of Equalization data-files for September 2011. These data include the total number of licensed tobacco outlets by city and zip code, but not outlet names or addresses. Outlet density in each city was calculated as the number of outlets per 10,000 persons.

Local tobacco retailer licensing

Data about localities requiring tobacco retailer licensing were obtained from the California American Lung Association website [35]. Cities were coded as having or not having a local tobacco retailer licensing ordinance.

Cigarette tax

Cigarette sales tax information was obtained from State of California Board of Equalization data available online [36]. This tax information represents the local tax in each city at the time the access survey conducted.

Data analysis

Multilevel logistic and linear regression analyses were conducted with HLM version 6.04 software to adjust for clustering of observations within cities [37]. Intraclass correlations (i.e., the proportion of variance in compliance with underage tobacco sales, asking for proof of age and cigarette price that is between cities) were .15, .30 and .08 for whether the sale was made, whether retailer requested ID, and cigarette pack price, respectively. ICC results indicate that the between city variation is less for cigarette price than it is for whether the sale was made and whether retailer requested ID. These intraclass correlation values suggest that observations within the cities were not independent and indicate the value of including cities as a random second-level unit. In predicting retail compliance with underage tobacco sales and clerk request for ID, all retail-level variables were included as well as all community-level variables. In predicting cigarette price only the type of outlet was included at the retail-level together with all community-level variables. Additional analyses were conducted to examine the relationships between cigarette price and contextual and community characteristics by brand (i.e., Marlboro and Newport price). In each model, variables at both levels were entered simultaneously. The models assumed that slopes were fixed (i.e., the same across cities) and only the retail-level intercept coefficient was allowed to vary across cities. Unit-specific models were used to evaluate results of the logistic regression analyses.

RESULTS

Retailer compliance with underage tobacco sales laws

Overall rate of retailer noncompliance with underage tobacco sales laws in the 997 selected outlets was 14.3%. Descriptive statistics from the access surveys are in Table 1. A multilevel logistic regression analysis was conducted to examine the relationships among retail and community level characteristics and retailer compliance with underage tobacco sales laws. At the retail level, buyer’s actual age, the clerk being male, and asking young buyers about their age were each positively associated with selling a pack of cigarettes (Table 2). None of the other retail level characteristics were related to non-compliance. At the community level, higher percentage of minors in the population, a greater percentage of residents with at least a college degree, and a greater percentage of African Americans were associated with increased likelihood of non-compliance.

Table 1.

Retail-level characteristics by retailer compliance with underage tobacco sales laws in mid-sized California cities

Compliant (N=854) Non-compliant (N=143) All retailers (N=997)
Mean young buyer real age 19.39 (.79) 20.14 (.99) 19.49 (.87)
Young buyer gender
 % Male 92.5 7.5 51
 % Female 78.5 21.5 49
Type of outlet
 % Small markets 85.8 14.2 11.5
 % Convenience store 84.6 15.4 46.3
 % Smoke/tobacco shop 71.9 28.1 5.7
 % Supermarket 85.2 14.8 10.8
 % Drug/pharmacy store 90.6 9.4 9.6
 % Liquor store 89.6 10.4 13.5
 % Other 96.2 3.8 2.6
Clerk gender
 % Male 83.7 16.3 61.4
 % Female 89.3 10.7 38.4
Brand of cigarettes purchased
 % Marlboro 91.3 8.7 47.3
 % Newport 80.6 19.4 52.7
Mean clerk estimated age 35.43 (9.87) 35.49 (9.75) 35.45 (9.85)
Minimum age signs
 % No 87.2 12.8 11.7
 % Yes 85.7 14.3 86.8
Mean of number of customers in line behind buyers .66 (1.05) .61 (1.11) .65 (1.06)
Asked about age
 % No 89.7 10.3 85.3
 % Yes 63.0 37.0 14.7

Note: Non-compliant means that a retailer sold cigarettes to a confederate buyer who judged to look younger than 18.

Table 2.

Multi-level logistic regression analyses predicting retailer compliance with underage tobacco sales laws in mid-sized California cities

Predictors: Retailer Non-Compliance (0=No;1=Yes) Requested ID (0=No;1=Yes)

OR 95% CI OR 95% CI
Community level (N=50):
 Population density 1.26 (.87, 1.83) .82 (.60, 1.12)
 Percentage of minors 1.79 (1.01, 2.93)* .52 (.33, .83)*
 Median HH income 1.03 (.73, 1.44) .88 (.65, 1.18)
 Education 1.60 (1.02, 2.51)* .51 (.33, .80)*
 African American 1.41 (1.01, 1.96)* .55 (.40, .76)**
 Hispanics .54 (.27, 1.12) 1.59 (.91, 2.81)
 Prevalence of adult smokers 1.03 (.98, 1.09) 1.00 (.95, 1.04)
 Tobacco outlet density 1.05 (.96, 1.14) .95 (.89, 1.01)
 Local tobacco retailer licensing .52 (.22, 1.20) 2.20 (1.02, 4.76)*
 Cigarette tax 1.24 (.93, 1.66) .92 (.71, 1.19)
Retail level (N=997):
 Young buyer gender 1.49 (.78, 2.83) .59 (.31, 1.13)
 Buyer actual age 1.66 (1.17, 2.38)* .65 (.46, .91)*
 Type of outlet (small market reference)
  Convenience store .85 (.47, 1.53) 1.04 (.58, 1.83)
  Smoke/tobacco shop 1.75 (.63, 4.86) .42 (.16, 1.11)
  Supermarket .94 (.44, 2.01) 1.19 (.44, 3.30)
  Drug/pharmacy store 1.03 (.41, 2.58) 1.39 (.40, 4.91)
  Liquor store .59 (.27, 1.29) 1.42 (.51, 3.95)
  Other .34 (.04, 3.04) 1.54 (.17, 13.84)
 Female clerk .60 (.39, .94)* 1.62 (.94, 2.82)
 Clerk estimated age .99 (.96, 1.01) 1.00 (.97, 1.03)
 Minimum age signs .50 (.24, 1.05) 2.49 (1.15, 5.42)*
 Number of customers in line behind buyers 1.01 (.83, 1.24) 1.02 (.80, 1.29)
 Asked about age 5.20 (3.27, 8.28)** 1.25 (.74, 2.13)
**

p≤.005;

*

p≤.05

An additional multilevel logistic regression analysis was conducted to examine predictors of clerks requesting identification (see Table 2). At the retail level, the presence of age-of-sale signage was positively associated with clerks requesting ID. Buyer’s actual age decreased likelihood of clerks requesting ID. At the community level, lower percentage of minors, lower percentage of residents with at least a college degree, lower percentage of African Americans, and local tobacco retailer licensing were associated with retailers asking for ID. [Insert Table 2 here]

Cigarette price

Pack prices ranged from $4.31 to $8.72 (M=6.22, SD=.70) and varied greatly across outlets. For the same brand, the maximum price was 1.9 to 2 times higher than the lowest price. Results of a multilevel linear regression analysis to examine the relationships among retail and community level characteristics and cigarette prices are presented in Table 3. Results indicate significant associations between the type of the outlet and prices of a pack of cigarettes. More specifically, supermarkets charged significantly more for a pack of cigarettes than small markets whereas smoke/tobacco shops and drug stores/pharmacies charged less on average. Turning to community level characteristics, higher cigarette prices were associated with higher median household income and a greater percentage of Hispanics in the community.

Table 3.

Results of multi-level regression analyses predicting cigarette pack prices in mid-sized California cities

Predictors: Price Marlboro Price Newport Price

b SEb b SEb b SEb
Community level (N=50):
 Population density −.04 (.04) −.05 (.05) −.01 (.03)
 Percentage of minors −.05 (.06) −.01 (.06) −.13 (.06)*
 Median HH income .08 (.03)* .12 (.04)* .03 (.03)
 Education .04 (.07) .04 (.08) .02 (.07)
 African American .00 (.03) .06 (.04) −.05 (.03)
 Hispanics .12 (.06)* .13 (.07) .13 (.06)*
 Prevalence of adult smokers −.01 (.01) −.02 (.01)* −.00 (.01)
 Tobacco outlet density .02 (.01) .02 (.01) .00 (.01)
 Local tobacco retailer licensing −.10 (.09) −.20 (.10)* −.01 (.07)
 Cigarette tax −.01 (.04) .00 (.06) −.03 (.04)
Retail level: N=997 N=472 N=525
 Type of outlet (small market reference)
  Convenience store −.07 (.08) −.08 (.09) −.07 (.10)
  Smoke/tobacco shop −.31 (.12)* −.31 (.12)* −.31 (.15)*
  Supermarket .48 (.10)** .49 (.12)** .55 (.12)**
  Drug/pharmacy store −.43 (.09)** −.35 (.12)** −.38 (.13)**
  Liquor store −.02 (.07) −.15 (.11) .01 (.09)
  Other −.06 (.16) .05 (.14) −.02 (.29)
**

p≤.005;

*

p≤.05

Similar results were found with respect to outlet type in the brand-specific models (see Table 3). Supermarkets charged more for both Marlboro and Newport and smoke/tobacco shops and drug stores/pharmacies charged less. Differences, however, were observed in the community level variables. While higher median household income, lower prevalence of adult smokers in the community, and not having local tobacco retailer licensing policy were associated with higher prices of Marlboro, lower percentage of minors and increased percentage of Hispanics were associated with higher prices of Newport. None of the other community level variables that predicted either general cigarette prices or Marlboro prices were related to prices of Newport.

DISCUSSION

We investigated the relationships of a wide range of retail and community factors with youth access to cigarettes through commercial sources. Results of our investigation suggest that, after controlling for a range of community level characteristics, only a few retail level characteristics are important. Whereas results of previous studies indicated associations between sales of cigarettes to minors and various characteristics of youth buyers, store clerks, the retail environment and factors related to the purchase attempt [1117, 19, 22], we only found buyer’s actual age, being a male clerk, and clerks asking young buyers about their age related to successful cigarette purchases by underage appearing buyers. This supports our argument about the importance of studying a full range of both contextual and community characteristics in order to highlight ways to tailor policies to reduce youth access to cigarettes via commercial sources more effectively.

Our finding that asking young buyers about their age was positively associated with successful purchases is contrary to findings from Arday et al. [22], who reported the opposite. Our finding suggests that retailers who do ask about the age may sell cigarettes to youth who state they are over 18 years old without requesting proof of age. Interventions with retailers should emphasize the importance of requiring clerks to request proof of age regardless of if the person states that he or she is over 18 years old. Procedures to verify that clerks consistently check IDs (e.g., “mystery shoppers” or reward and reminder programs) may be critically important if such policies are to be effective [38]. The importance of store policies is further highlighted by our results showing that visible age-of-sale signs were associated with an increased likelihood that the clerk requested proof of age. Similar findings have been reported regarding the presence of signage sales of alcohol to minors [30]. It is possible that the presence of such signs reminds clerks to be vigilant or that posting signs is simply one indicator that a retailer has implemented consistent and effective policies regarding checking ID.

Our findings also suggest that youth access to cigarettes from commercial sources is easier in some communities than in others. Youth in communities with higher educational levels, greater percentage of minors, or greater percentage of African Americans may have easier access to cigarettes from retail stores. It is possible that retailers in such communities might have more trust that minors will not try to illegally purchase cigarettes, are less concerned with youth smoking in their communities, or believe it is less likely they will be the target of a compliance check. This result supports the importance of enforcing laws that prohibit selling tobacco to minors in all communities.

The likelihood that a retailer will ask for proof of age is greater in communities with local tobacco retailer licensing. Strong licensing policies usually include a fee set to fund enforcement of tobacco sales to minor laws, a provision that a violation of existing local, state, or federal tobacco regulation results in a suspended or revoked license, and financial disincentives through increased fines and penalties [35]. Our results suggest that requiring a license to sell tobacco may help reduce youth access to cigarettes through commercial sources.

Similar to previous studies [26, 39], our findings suggest that drug stores/pharmacies and smoke/tobacco shops may provide greater economic access to cigarettes for youth than do large supermarkets. Because previous studies have shown consistently that cigarette prices decrease cigarette smoking [68] and that youth are more price sensitive than adults [9, 10], control over cigarette prices in such stores may help to reduce youth smoking. Establishing minimum prices for tobacco products may be one effective policy that can be implemented locally.

Interestingly, the relationships between community characteristics and cigarette prices varied by cigarette brand. Higher median household income, lower prevalence of adult smokers in the community, and not having a local tobacco retailer licensing were all associated with higher prices of Marlboros. The finding about the inverse relation between prevalence of adult smokers in the community and price supports other studies which consistently have shown negative relation between cigarette prices and cigarette smoking [68]. Also, it is very likely that retailers charge more for cigarettes in communities with wealthy households. The positive association between local tobacco retailer licensing and Marlboro price may be explained by the other community-level characteristics identified in this study. It is possible that wealthiest communities with fewer smokers tend to adopt local tobacco retailer licensing ordinances which may also reflect broader community norms that are less supportive of smoking and therefore price promotion.

The findings that the price of Newport was lower in communities with higher percentage of minors and higher in communities with higher percentage of Hispanics may explain why Newports are popular among high school students and less among Hispanics [28]. In another study in California, Henriksen et al [39] found that the price of Newport was lower in high school neighborhoods with higher percentage of Black students. Finally, different results regarding the associations between some community characteristics and Marlboro versus Newport prices may be explained by other factors which were not included in the current study. For example, it is possible that more extensive Newport price promotion in communities with local tobacco licensing diminishes any potential effect such policies may have.

Limitations

The results of this study should be considered in light of some limitations. First, only two confederate buyers conducted the surveys in each city, which limits our ability to consider characteristics of the buyers other than gender and age. Other studies, for example, have identified buyer ethnicity as significantly associated with increased youth tobacco sales [19, 20]. Second, we only collected price data for Marlboro and Newport cigarettes. Although they are the most popular cigarette brands among high school students [28], they may not represent the range of prices among all cigarette brands. Third, the cross-sectional design of the study limited our ability to make directional inferences about relationships between contextual and community characteristics and outcome variables. For example, in understanding the relationships between the presence of age-of-sale signs and clerk requesting for ID, it is possible that posting these signs is simply an indicator that a retailer has implemented policies regarding checking ID rather than serving to increase clerks’ awareness about legal age.

Despite these possible shortcomings, this investigation enhances our understanding of the associations between contextual and community characteristics and youth commercial and economic access to tobacco. Such understanding can help policymakers to identify and target at-risk communities and outlets to decrease youth access to tobacco.

What This Paper Adds.

Going beyond previous research, the present study examines the associations between a wide range of contextual and community-level characteristics and retailer compliance with underage tobacco sales laws and with pack prices in 50 non-contiguous mid-sized California communities. Since any illegal tobacco purchase attempt by minors occurs in an ecological environment that includes both contextual and community characteristics, this approach may help to highlight ways to tailor policies to reduce youth access to cigarettes via commercial sources more effectively.

Acknowledgments

Funding:

This publication was made possible by grant CA138956 from the National Cancer Institute (NCI) and grant 19CA-016 from the Tobacco-Related Disease Research Program (TRDRP; http://www.trdrp.org). The content is solely the responsibility of the authors and does not necessarily represent the official view of NCI and TRDRP.

Footnotes

Competing Interests:

None of the authors have a conflict of interest.

Contributionship:

Dr. Sharon Lipperman-Kreda conceptualized the study and was primarily responsible for data analysis and manuscript preparation. Dr. Joel W. Grube assisted in data analysis and contributed to the writing of this manuscript. Dr. Karen B. Friend participated in literature review and contributed to the writing of the manuscript. All of the authors helped to interpret findings and review drafts of the manuscript.

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