Dyadic associations between perceived social support and cancer patient and caregiver health: An actor-partner interdependence modeling approach.

OBJECTIVE: Social support may have a positive impact on health outcomes for patients and caregivers, but the extent to which social support and health outcomes are interrelated for both is unknown. We examine the dyadic interrelationships between social support and health among cancer patients and their caregivers. METHODS: Lung and colorectal cancer (CRC) patient and caregiver dyadic data were obtained from the Cancer Care Outcomes Research and Surveillance Consortium. Patients and caregivers self-reported sociodemographic, social support, and caregiving characteristics at 5 (n = 218 lung; n = 222 CRC) or 12 months post-diagnosis (n = 198 lung; n = 290 CRC). Structural equation modeling was used to examine actor-partner interdependence models (APIM) of lung and CRC dyads at 5 and 12 months post-diagnosis. RESULTS: At 5 months post-diagnosis, no interdependence between patient and caregiver social support was detected for CRC or lung dyads (all P > 0.05). At 12 months post diagnosis, no interdependence was detected for CRC dyads (all P > 0.70); lung dyads showed complete interdependence, indicating patient social support is associated with better caregiver self-reported health (ß = 0.15, P < 0.001), and caregiver social support is associated with better patient self-reported health (ß = 0.18, P < 0.001). CONCLUSION: Social support has a positive impact on patient and caregiver perceived health across the cancer trajectory, and these effects may differ by cancer site and time. Future research and translational efforts are needed to identify effective ways to bolster both patient and caregiver social support and to determine critical moments for intervention.

Health claims made in vape shops: an observational study and content analysis.

BACKGROUND: Prior to the final deeming rule, federal law in the USA prohibited electronic cigarettes (e-cigarettes) from being marketed as smoking cessation products; for other therapeutic purposes and in ways that conveyed Food and Drug Administration (FDA) approval/endorsement. After August 2016, additional federal prohibitions were added including false/misleading and unauthorised modified risk tobacco product (MRTP) claims. No systematic investigation of e-cigarette health claims has been conducted in the retail environment. We sought to document and characterise claims made in vape shops. METHODS: Between November 2015 and February 2016, before final deeming rule implementation, two trained data collectors conducted unannounced observational assessments of 46 vape shops in North Carolina. Data collectors used wearable imaging technology to document health claims about e-cigarettes. Photos were coded for five claim types: (1) cessation device; (2) drug effect/device; (3) FDA-approved/endorsed; (4) false/misleading and (5) MRTP. Photos were double coded; differences between coders were adjudicated and reviewed by an expert panel. RESULTS: At least one health claim was displayed in 41.3% (n=19) of retailers, ranging from 0 to 27 claims per retailer. All claim types were found. Cessation device claims were the most prevalent (62.2%, n=84), followed by MRTP (27.4%, n=37), drug effect/device (8.1%, n=11), false/misleading (1.5%, n=2), and FDA approved/endorsed (0.7%, n=1). Retail chains made the majority of claims compared with independent shops (88.9% vs 11.1%). CONCLUSIONS: Many vape shops displayed e-cigarette health claims, which are all now FDA prohibited. These claims could mislead consumers and influence behaviour. Findings highlight the need for retailer education, continued surveillance, enforcement specific to advertising and research on consumer perceptions of claims.

E-Cigarette Outcome Expectancies among Nationally Representative Samples of Adolescents and Young Adults.

Objectives: We conducted nationally representative surveys of adolescents and young adults to examine associations between e-cigarette outcome expectancies and e-cigarette use. Background: E-cigarette use among adolescents and young adults has grown rapidly in recent years, yet little research has examined the beliefs that may underlie this behavior among nationally representative samples. Methods:N = 1,298 adolescents (13-17) and 2,219 young adults (18-25) were surveyed using a probability-based web panel. Participants completed a survey that included a new outcome expectancy measure examining 3 positive (enjoyment, social influences, advantage over cigarettes) and 2 negative (health concerns, smoker association) expectancy domains and ever having used e-cigarettes [ever use]. Results: Confirmatory factor analyses demonstrated a good fit of the outcome expectancies' factor structure to the data. All outcome expectancies were associated with e-cigarette use in both populations in univariate analyses. In multiple logistic regression models controlling for several covariates, higher expected enjoyment was positively associated with a greater likelihood of e-cigarette use (aOR = 2.10, p < .05) among adolescents. Among young adults, enjoyment (aOR = 3.08, p < .001) was positively associated with a greater likelihood of use while both health concerns (aOR = 0.70, p < .01) and smoker association (aOR = 0.73, p < .05) were negatively associated with e-cigarette use. Conclusions: This study suggests that expected enjoyment is robustly associated with e-cigarette use among both adolescents and young adults. Health concerns may also play a role in e-cigarette use. Implications for e-cigarette prevention efforts and future research directions are discussed.

Identifying principles for effective messages about chemicals in cigarette smoke.

US law requires the Food and Drug Administration (FDA) to disclose information on harmful and potentially harmful chemicals in cigarette smoke (i.e., constituents) to the public. To inform this effort, we sought to identify principles for creating constituent messages that effectively discourage smoking. Participants were an online convenience sample of 1148 US smokers ages 18+. We developed a library of 76 messages about constituents only and constituents plus contextualizing information (i.e., toxic products that also contain the chemical, health effects, or both). We randomized smokers to receive 1 message from each of 7 message panels in a mixed between-/within-subjects experiment. Participants rated each message on perceived message effectiveness. Results indicated that smokers perceived messages about arsenic, formaldehyde, lead, uranium, and ammonia as more effective than messages about nitrosamines. Messages that contained information on toxic products, health effects, or both received higher effectiveness ratings than constituent-only messages. Among constituent-only messages, those that referenced multiple constituents received higher effectiveness ratings than those with fewer constituents. We conclude that chemical messages may have more impact if they pair known constituents with toxic product or health effect information. These message principles can be used to inform studies examining the impact of constituent messages on smoking beliefs and behavior.

Effective Message Elements for Disclosures About Chemicals in Cigarette Smoke.

Introduction: Cigarette smoke contains at least 93 chemicals or "constituents" that the Food and Drug Administration has identified as harmful and potentially harmful constituents to human health. Our study sought to identify which constituent disclosure message elements are most effective in discouraging people from smoking. Methods: Three hundred eighty eight current smokers aged 18 and older completed an online survey in February 2015. We randomized participants to respond to one of two sets of 13 toxic products that contain cigarette constituents and 25 health effects associated with cigarette constituents. Results: Products that elicited the most discouragement were those with lower chances of exposure (e.g., explosives), followed by products with possible exposure (e.g., rat poison), and products with a high likelihood of exposure (e.g., floor cleaner). Awareness of toxic products that constituents are found in (p < .001) and low exposure products (p < .001) were associated with higher discouragement. Health effects that people had heard are caused by cigarette smoke constituents elicited higher discouragement from smoking cigarettes (p < .001). Cancer was associated with higher discouragement relative to respiratory, cardiovascular, and reproductive health effects (all p < .001). Conclusions: Cigarette smoke constituent messages may be more effective at discouraging smoking if they include information about carcinogenic health effects (e.g., mouth cancer and lung tumors) and low exposure toxic products (e.g., explosives and radioactive material) as message elements. Implications: Our study identified health effects and toxic products, especially cancers and rarely encountered toxic products, that may discourage smoking when included in disclosure messages. By constructing messages that communicate the harms associated with tobacco use by contextualizing those harms in terms of specific constituents, tobacco education messaging efforts may be increasingly successful.

An Empirical Analysis of Indoor Tanners: Implications for Audience Segmentation in Campaigns.

Tanning bed use before age 35 has been strongly associated with several types of skin cancer. The current study sought to advance an understanding of audience segmentation for indoor tanning among young women. Panhellenic sorority systems at two universities in the Southeastern United States participated in this study. A total of 1,481 young women took the survey; 421 (28%) had tanned indoors in the previous 12 months and were the focus of the analyses reported in this article. Results suggested two distinct tanner types: regular (n = 60) and irregular (n = 353) tanners. Regular tanners tanned more frequently (M = 36.2 vs. 8.6 times per year) and reported significantly higher positive outcome expectations (p < .001) and lower negative outcome expectations (p < .01) than irregular tanners, among other significant differences. Hierarchical logistic regression analysis revealed several significant (p < .001) predictors of regular tanning type, with tanning dependence emerging as the strongest predictor of this classification (OR = 2.25). Implications for developing anti-tanning messages directed at regular and irregular tanners are discussed.

U.S. digital tobacco marketing and youth: A narrative review.

We describe findings from peer-reviewed articles on digital tobacco marketing (DTM) using U.S. data related to youth, including research that examines use of age restrictions, DTM exposure and engagement, and associated tobacco use. We searched PubMed, EMBASE, Web of Science, and EBSCOhost in May 2019 and May 2020 for published English language peer-reviewed articles examining DTM that were published from January 2016 to May 2020. Inclusion coding occurred in three stages. The first search identified 519 articles; 167 were coded for inclusion. The second search identified 189 articles; 67 were coded for inclusion. Two coders then assessed whether the included articles mentioned youth (age 18 and younger) or age restrictions in the method and results sections of the full text. Ultimately, 47 articles were included in this review. A codebook was developed and tested through training. Each article was coded for age restrictions, youth exposure to DTM, youth engagement with DTM, and youth tobacco use associated with DTM exposure or engagement. The studies reviewed indicate that DTM on social media was infrequently age-restricted and the stringency of age restriction varied by tobacco product, site owner, and channel. Youth reported being exposed to DTM frequently via the Internet. While youth reported less frequently engaging with DTM compared to being exposed, engagement increased over time. DTM exposure and engagement were associated with tobacco product use. The studies reviewed document an association between DTM exposure and engagement and future tobacco use; thus, DTM may be contributing to the youth tobacco epidemic.

Trust in national health information sources in the United States: comparing predictors and levels of trust across three health domains.

Public trust in traditional sources of health information is essential for public health agencies and organizations to perform necessary public health functions. Little research has examined levels and predictors of trust in government health agencies and national health organizations. Additionally, few studies have simultaneously analyzed trust in multiple health topics. The major aim of this study was to compare levels and factors associated with trust in national health sources across three health topics: information about tobacco, electronic cigarettes, and general health. Data from two cycles of the National Cancer Institute's Health Information National Trends Survey collected in 2015 and 2017 were merged and analyzed for this study (n = 5,474). A series of weighted multivariable logistic regression models calculated odds of high trust in government health agencies and health organizations for each health topic. More respondents reported high trust in health organizations than for government health agencies across all topics. More participants reported high trust in these sources tobacco information, as compared to general health or e-cigarette information. Logistic models found that those higher in information seeking confidence were more likely to report high trust across all models. Other demographic variables were inconsistent predictors of trust across topics. This study highlights inconsistent sociodemographic predictors of trust across multiple health topics and national health sources. Researchers, practitioners, and policymakers should consider the unique context of specific health topics in health promotion campaigns, partner with existing community-based organizations, and encourage and enable health information seeking.

Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis.

BACKGROUND: Three major US tobacco companies were recently ordered to publish corrective statements intended to prevent and restrain further fraud about the health effects of smoking. The court-ordered statements began appearing in newspapers and on television (TV) in late 2017. OBJECTIVE: The objective of this study was to examine the social media dissemination of the tobacco corrective statements during the first 6 months of the implementation of the statements. METHODS: We conducted a descriptive content analysis of Twitter posts using an iterative search strategy through Crimson Hexagon and randomly selected 19.74% (456/2309) of original posts occurring between November 1, 2017, and March 27, 2018, for coding and analysis. We assessed post volume over time, source or author, valence, linked content, and reference to the industry (eg, big tobacco, tobacco industry, and Philip Morris) and media outlet (TV or newspaper). Retweeted content was coded for source/author and prevalence. RESULTS: Most posts were published in November 2017, surrounding the initial release of the corrective statements. Content was generally neutral (58.7%, 268/456) or positive (33.3%, 152/456) in valence, included links to additional information about the statements (94.9%, 433/456), referred to the industry (87.7%, 400/456), and did not mention a specific media channel on which the statements were aired or published (15%). The majority of original posts were created by individual users (55.2%, 252/456), whereas the majority of retweeted posts were posted by public health organizations (51%). Differences by source are reported, for example, organization posts are more likely to include a link to additional information compared with individual users (P=.03). CONCLUSIONS: Conversations about the court-ordered corrective statements are taking place on Twitter and are generally neutral or positive in nature. Public health organizations may be increasing the prevalence of these conversations through social media engagement.

Increasing Effectiveness of Messages about Chemicals in Cigarette Smoke.

OBJECTIVES: Federal law requires informing the public on toxic chemicals in cigarette smoke. We sought the public's advice about communicating information about these chemicals. METHODS: Adolescents, young adults, and adults (N = 59), including smokers and non-smokers, participated in 9 focus groups that discussed inclusion of messages about toxic chemicals on cigarette packs, in media campaigns, and on a website. We transcribed, coded, and analyzed focus group audio-recordings. RESULTS: Participants had 3 suggestions for message content to increase the impact of messages about cigarette smoke chemicals. First, they wanted to see messages rotated more frequently to increase message novelty. Second, they recommended using stories and pictures to help connect people to the abstract idea of chemicals in smoke. Third, they cautioned against making messages that might seem overblown and could appeal to the rebellious nature of adolescents. Some participants mentioned that chemical information on a website might discourage people from smoking; others mentioned that people might use it to choose which brand to smoke. CONCLUSIONS: Legislation provides the impetus to design new chemical disclosure messages for cigarette packs and other media. Our findings can help increase the impact of these messages.

Perceived support from a caregiver's social ties predicts subsequent care-recipient health.

Most social support research has examined support from an individual patient perspective and does not model the broader social context of support felt by caregivers. Understanding how social support networks may complement healthcare services is critical, considering the aging population, as social support networks may be a valuable resource to offset some of the demands placed on the healthcare system. We sought to identify how caregivers' perceived organizational and interpersonal support from their social support network influences care-recipient health. We created a dyadic dataset of care-recipient and caregivers from the first two rounds of the National Health and Aging Trends survey (2011, 2012) and the first round of the associated National Study of Caregivers survey (2011). Using structural equation modeling, we explored how caregivers' perceived social support is associated with caregiver confidence to provide care, and is associated with care-recipient health outcomes at two time points. All data were analyzed in 2016. Social engagement with members from caregivers' social support networks was positively associated with caregiver confidence, and social engagement and confidence were positively associated with care-recipient health at time 1. Social engagement positively predicted patient health at time 2 controlling for time 1. Conversely, use of organizational support negatively predicted care-recipient health at time 2. Care-recipients experience better health outcomes when caregivers are able to be more engaged with members of their social support network.