Transitions in Smokers’ Social Networks After Quit Attempts: A Latent Transition Analysis

Bray, Bethany C.; Smith, Rachel A.; Piper, Megan E.; Roberts, Linda J.; Baker, Timothy B.

doi:10.1093/ntr/ntw173

Cited by 19 publications

(13 citation statements)

References 49 publications

(55 reference statements)

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“…Regarding lower SES tobacco users (including both lower income and < high school education), it may be beneficial to address how smoking cessation may alleviate their feeling of helplessness (e.g., presenting information about how smoking cessation is associated with expansion of social network). 28 Likewise, our results show that it may be of value to appeal to conformity to those with or less than a high school education. Regarding Hispanic and non-Hispanic black, our results indicate the importance of highlighting the connection between smoking cessation and religion, as well as achievement.…”

Section: Discussionsupporting

confidence: 49%

Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring

Duarte

Choi

2020

Am J Health Promot

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Purpose: To investigate variations of psychographic profiles in adult tobacco users to inform message tailoring. Design: A cross-sectional design used data from the Simmons 2015 National Consumer Study. Setting: Data were voluntarily provided by US families through a mail survey on media, products, and services, brands, and attitudes. Subjects: US adult tobacco users (N = 4,609). Measures: Participants answered questions about general opinion/attitudes and provided demographic and tobacco use information. Analysis: A factor analysis was conducted to determine the “best” latent psychographic factor structure based on model fit, factor loadings, and interpretability. A structural equation model was then applied to assess the associations between demographics, tobacco product use, and latent psychographic factors. Results: We identified 9 latent psychographic factors: (1) helplessness, (2) happiness, (3) achievements, (4) religion, (5) interest in art and culture, (6) conscience, (7) conformity, (8) family indulgence, and (9) creativity. Endorsement of these factors varied by demographics and tobacco product use. E.g. low income tobacco users showed stronger endorsement for “helplessness” (Adjusted Standardized Regression Coefficient [ASRC]: 0.42; 95% CI: 0.33, 0.51) and “religion” (ASRC: 0.24; 95% CI: 0.14, 0.33). Less educated tobacco users showed stronger endorsement for “conformity” (ASRC: 0.16; 95% CI: 0.07, 0.24). Young adults had significant positive associations for “achievements” (ASRC: 0.57; 95% CI: 0.48, 0.67). Conclusion: Psychographic profiles of tobacco users vary by demographics and product use. Tailored anti-tobacco media campaigns to specific disparity groups matching their psychographic profiles may improve message effectiveness and reduce tobacco use disparities.

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Section: Discussionsupporting

confidence: 49%

Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring

Duarte

Choi

2020

Am J Health Promot

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“…Evidence suggests that smoking behaviour is influenced by social networks and that groups of people quit together via social contagion (38). Quitting smoking in and of itself may expand a person’s social environment (39). Effective interventions for enhancing social networks exist (40) and can involve guided peer support groups focussing on enhancing social relationships (41) and cognitive and social skills training (42).…”

Section: Discussionmentioning

confidence: 99%

‘They’re Going to Smoke Anyway’: A Qualitative Study of Community Mental Health Staff and Consumer Perspectives on the Role of Social and Living Environments in Tobacco Use and Cessation

Twyman

Cowles²,

Walsberger

et al. 2019

Front. Psychiatry

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Background: Addressing the high prevalence of tobacco use experienced by people with severe mental illness (SMI) requires consideration of the influence of wider cultural, socioeconomic and environmental factors. This qualitative study aimed to examine the impact of social and living environments on tobacco use and cessation by people with SMI accessing community managed mental health services. The perspectives of both staff and consumers with SMI were explored. Methods: Semi-structured focus groups were undertaken with a purposive sample of community mental health staff and consumers from three sites in three major cities in NSW, Australia. Two sites provided outreach support, and one site provided residential support. Data were collected (2017–2018) until saturation was reached. Focus groups were audio-recorded and transcribed, and thematic analysis was conducted. Results: Thirty-one staff and 17 consumers participated separately in six focus groups. Themes identified by staff included a degree of fatalism, conceptualising tobacco use as choice rather than addiction and tensions between cessation support and broader models of care. Staff viewed smoke-free home and mental health service policies as effective at promoting quitting but contradictory to recovery-oriented models of care. Consumers identified smoking as an integral part of life and social networks, as a way of maintaining control and lack of social support to quit as key themes. While many consumers reported smoking inside the home, others described enforcing smoke-free rules. Conclusion: Social and living environments played an integral role in tobacco use and cessation for both staff and consumers. The role of community managed mental health organisations in addressing tobacco use within social and living environments was not strongly supported by staff and sometimes seen as antithetical to recovery-oriented models of care. Potential ways to address this include education and training for prospective and current community mental health organisation staff highlighting the synergy between the recovery-oriented model and provision of preventive health support.

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“…Second, the social network subgroups were based exclusively on baseline data. Therefore, this study does not address how smokers’ social networks might have changed during the quit attempt (see Bray, Smith, Piper, Roberts, & Baker, 2016). Third, the dataset included only smokers who wanted to quit smoking and participated in a longitudinal trial.…”

Section: Discussionmentioning

confidence: 99%

The social networks of smokers attempting to quit: An empirically derived and validated classification.

Burgess-Hull¹,

Roberts²,

Piper³

et al. 2018

Psychology of Addictive Behaviors

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Social relationships play an important role in the uptake, maintenance, and cessation of smoking behavior. However, little is known about the natural co-occurrence of social network features in adult smokers' networks and how multidimensional features of the network may connect to abstinence outcomes. The current investigation examined whether qualitatively distinct subgroups defined by multiple characteristics of the social network could be empirically identified within a sample of smokers initiating a quit attempt. Egocentric social network data were collected from 1571 smokers (58% female, 83% white) engaged in a 3-year smoking cessation clinical trial. Using nine indicator variables reflecting both risk and protective network features, finite mixture models identified five social network subgroups: High Stress/High Contact, Large and Supportive, Socially Disconnected, Risky Friends and Low Contact, and High Contact with Smokers and Light Drinkers. External variables supported the validity of the identified subgroups and the subgroups were meaningfully associated with baseline demographic, psychiatric, and tobacco measures. The Socially Disconnected subgroup was characterized by little social interaction, low levels of stress, and low exposure to social environmental smoking cues, and had the highest probability of successful cessation at 1 week compared with all other social network subgroups. At 6 months posttreatment its members had higher abstinence rates than members of the High Stress/High Contact subgroup and the Risky Friends and Low Contact subgroup. The present study highlights the heterogeneity of smokers' social milieus and suggests that network features, especially those entailing exposure to smoking cues and contexts, heighten risk for smoking cessation failure. (PsycINFO Database Record

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Transitions in Smokers’ Social Networks After Quit Attempts: A Latent Transition Analysis

Cited by 19 publications

References 49 publications

Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring

Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring

‘They’re Going to Smoke Anyway’: A Qualitative Study of Community Mental Health Staff and Consumer Perspectives on the Role of Social and Living Environments in Tobacco Use and Cessation

The social networks of smokers attempting to quit: An empirically derived and validated classification.

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