Translating health psychology into effective health communication: the american healthstyles audience segmentation project

Pandemic lifeworlds: A segmentation analysis of public responsiveness to official communication about Covid-19 in England

Pandemics such as Covid-19 pose tremendous public health communication challenges in promoting protective behaviours, vaccination, and educating the public about risks. Segmenting audiences based on attitudes and behaviours is a means to increase the precision and potential effectiveness of such communication. The present study reports on such an audience segmentation effort for the population of England, sponsored by the United Kingdom Health Security Agency (UKHSA) and involving a collaboration of market research and academic experts. A cross-sectional online survey was conducted between 4 and 24 January 2022 with 5525 respondents (5178 used in our analyses) in England using market research opt-in panel. An additional 105 telephone interviews were conducted to sample persons without online or smartphone access. Respondents were quota sampled to be demographically representative. The primary analytic technique was k means cluster analysis, supplemented with other techniques including multi-dimensional scaling and use of respondent - as well as sample-standardized data when necessary to address differences in response set for some groups of respondents. Identified segments were profiled against demographic, behavioural self-report, attitudinal, and communication channel variables, with differences by segment tested for statistical significance. Seven segments were identified, including distinctly different groups of persons who tended toward a high level of compliance and several that were relatively low in compliance. The segments were characterized by distinctive patterns of demographics, attitudes, behaviours, trust in information sources, and communication channels preferred. Segments were further validated by comparing the segmentation variable versus a set of demographic variables as predictors of reported protective behaviours in the past two weeks and of vaccine refusal; the demographics together had about one-quarter the effect size of the single seven-level segment variable. With respect to managerial implications, different communication strategies for each segment are suggested for each segment, illustrating advantages of rich segmentation descriptions for understanding public health communication audiences. Strengths and weaknesses of the methods used are discussed, to help guide future efforts.

Absolute and relative e-cigarette harm perceptions among young adult lesbian and bisexual women and nonbinary people assigned female at birth

PURPOSE

Young adult lesbian and bisexual women report considerable e-cigarette disparities, which may be attributed to low harm perceptions. No studies have assessed differences in e-cigarette harm perceptions in this group, nor which factors might be intervention targets to influence harm perceptions.

MATERIALS AND METHODS

We investigated differences in and modifiable correlates of e-cigarette harm perceptions among young adult lesbian and bisexual women and non-binary people assigned female at birth. Young adult women and non-binary people assigned female at birth, aged 18-30 years old, and who self-identified as lesbian or bisexual (N = 471) reported absolute and relative harm perceptions of e-cigarettes to health in an online survey. We modeled associations between harm perceptions and individual, interpersonal, and contextual factors.

RESULTS

Bisexual (vs. lesbian) participants perceived higher absolute harm of e-cigarettes (Mean (M) = 7.61 vs M = 7.09, p = .03). Participants rated e-cigarettes as slightly less harmful than cigarettes, and there was no statistically significant difference by sexual orientation (Bisexual: M = 4.84 vs Lesbian: M = 4.36). In multivariable models, bisexual (vs. lesbian) participants and Hispanic/Latinx and Other race (vs. non-Hispanic White) participants reported higher absolute and relative e-cigarette harm perceptions. Greater sexual identify affirmation and greater perceived stress were associated with higher absolute and relative e-cigarette harm perceptions.

CONCLUSIONS

E-cigarette harm perceptions vary vis-à-vis individual-level factors. Self-identification as bisexual or minoritized race/ethnicity, greater sexual identity affirmation, and greater perceived stress was associated with increased harm perceptions. Understanding variations may inform targeted health communications to reduce e-cigarette use disparities.

Extending the Risk Perception Attitude Framework to Predict Individuals' Engagement in Collective Actions Against Cancer

To identify the psychosocial determinants of individuals' intention to engage in collective actions against cancer, we extended and tested the risk perception attitude (RPA) framework at the level of social perceptions. The results of a large online survey of Hong Kong citizens (N = 1,005) revealed that perceived societal risk and perceived collective efficacy directly and jointly influenced respondents' intention to engage in collective actions against cancer, namely donating to cancer charities, volunteering at cancer-prevention organizations, and supporting public policies for cancer prevention. However, the interaction between perceived societal risk and perceived collective efficacy occurred in a direction opposite to the direction in the initial RPA framework. As suggested by the framework, we also categorized individuals into four attitudinal groups based on their perceptions of societal-level risk as well as efficacy and compared their demographic and psychological characteristics. Among the findings, the four groups significantly differed in their perceptions of individual-level risk as well as efficacy, in their family cancer history, and in their intentions to engage in individual-level behaviors to prevent cancer. Altogether, our findings contribute to the literature by extending the RPA framework to individuals' societal-level perceptions and by providing evidence that the framework can benefit the development of health communication campaigns to promote engagement in collective actions to support cancer prevention.

Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis

In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments' recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (N = 2033) from a web-based questionnaire executed in August 2021 have identified three audience segments: the less-concerned (n = 650), the risk-anxious (n = 142), and the risk-majority (n = 1,241). This study offers insights to how audiences of public health crisis communication perceive, process, and respond to information directed to them during the pandemic, thereby informing policy makers to tailor more targeted public health communication interventions in promoting positive attitude and behavior change.

Evidence-based core information for health communication of tobacco control: The effect of smoking on risks of female disease

Objective

Cigarettes have become the the biggest killer of contemporary female's health and beauty. What kind of health information is suitable for the general public is an important issue to be discussed globally. The purpose of this study is to generate systematic, rigorous, public-demand-oriented and appropriate core information relevant to tobacco control based on the best available evidence, combined with audience preferences and pre-dissemination content review from multidisciplinary expertise in order to improve the effectiveness of health communication of tobacco control.

Methods

Relevant systematic reviews meta-analysis that reported smoking on risks of female disease were identified by searching PubMed, Embase, the Cochrane Library, Web of Science, Clinical Trials.gov, and the International Clinical Trial Registry Platform. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) process was applied to assess the evidence in order to make rigorous core information. The audience prevalence survey was conducted to ensure that core information was targeted and tailored. Finally, the expert assessment was used for a pre-dissemination content review and to evaluate whether the core information was appropriate or not.

Results

The final core information consisted of eight parts concerning the effects of smoking and female cardiovascular disease, diabetes, rheumatoid arthritis, respiratory disease, digestive system disease, mental disease, non-pregnant female reproductive system disease, as well as pregnant women and their fetuses. A total of 35 items of core information suitable for dissemination was included and the quality of evidence, the degree of public demand and the outcome of pre-dissemination content review were reported.

Conclusion

The core information related to female cardiovascular system diseases, as well as liver cancer and upper gastrointestinal cancer is the preferred content for health communication of tobacco control. The quality of evidence for core information related to pregnant women and their infants, as well as diseases of reproductive system, respiratory system, and diabetes needs to be improved to meet high public demand. The core information related to mental disease is more suitable for dissemination to patients with mental illness than to the general public. Besides, dissemination of core information should be individualized. Evidence-based Core Information for Health Communication of Tobacco Control would be helpful to provide evidence support for health communication related to tobacco control and enhance public health literacy for international communities that have high smoking prevalence and related disease burden.

Service design in healthcare: a segmentation-based approach

Purpose

The study aims to explore how segmentation as a methodology can be adapted to the healthcare context to provide a more nuanced understanding of the served population and to facilitate the design of patient-centric services.

Design/methodology/approach

The study was based on a collaborative project with a national healthcare organization following the principles of action design research. The study describes the quantitative segmentation performed during the project, followed by a qualitative interview study of how segments correspond with patient behaviors in an actual healthcare setting, and service design workshops facilitated by segments. A number of design principles are outlined based on the learnings of the project.

Findings

The segmentation approach increased understanding of patient variability within the service provider organization and was considered an effective foundation for modular service design. Patient characteristics and life circumstances were related to specific patterns of health behaviors, such as avoidance or passivity, or a persistent proactivity. These patterns influenced the patients' preferred value co-creation role and what type of support patients sought from the care provider.

Practical implications

The proposed segmentation approach is immediately generalizable to further healthcare contexts and similar services: improved understanding of patients, vulnerable patients in particular, improves the fit and inclusivity of services.

Originality/value

The segmentation approach to service design was demonstrated to be effective in a large-scale context. The approach allows service providers to design service options that improve the fit with individual patients' needs for support and autonomy. The results illuminate how patient characteristics influence health and value co-creation behaviors.

Psychographic segmentation to identify higher-risk teen peer crowds for health communications: Validation of Virginia's Mindset Lens Survey

Audience segmentation is necessary in health communications to ensure equitable resource distribution. Peer crowds, which are macro-level teen subcultures, are effective psychographic segments for health communications because each crowd has unique mindsets, values, norms, and health behavior profiles. These mindsets affect behaviors, and can be used to develop targeted health communication campaigns to reach those in greatest need. Though peer crowd research is plentiful, no existing peer crowd measurement tool has been formally validated. As such, we developed and validated Virginia's Mindset Lens Survey (V-MLS), a mindset-based teen peer crowd segmentation survey to support health communication efforts. Using an online convenience sample of teens (N = 1,113), we assessed convergent and discriminant validity by comparing the V-MLS against an existing, widely-used peer crowd survey (I-Base Survey^®) utilizing a multi-trait multi-method matrix. We also examined the V-MLS's predictive ability through a series of regressions using peer crowd scores to predict behaviors, experiences, and traits relevant to health communication campaign planning. The V-MLS demonstrated reliability and convergent and discriminant validity. Additionally, the V-MLS effectively distinguished teen peer crowds with unique health behaviors, experiences, and personal traits. When combined with appropriate information processing and campaign development frameworks, this new tool can complement existing instruments to inform message framing, tone, and style for campaigns that target at-risk teens to increase campaign equity and reach.

The Role of Recipient Characteristics in Health Video Communication Outcomes: Scoping Review

BACKGROUND

The importance of effective communication during public health emergencies has been highlighted by the World Health Organization, and it has published guidelines for effective communication in such situations. With video being a popular medium, video communication has been a growing area of study over the past decades and is increasingly used across different sectors and disciplines, including health. Health-related video communication gained momentum during the SARS-CoV-2 pandemic, and video was among the most frequently used modes of communication worldwide. However, although much research has been done regarding different characteristics of video content (the message) and its delivery (the messenger), there is a lack of knowledge about the role played by the characteristics of the recipients for the creation of effective communication.

OBJECTIVE

The aim of this review is to identify how health video communication outcomes are shaped by recipient characteristics, as such characteristics might affect the effectiveness of communication. The main research question of the study is as follows: do the characteristics of the recipients of health videos affect the outcomes of the communication?

METHODS

A scoping review describing the existing knowledge within the field was conducted. We searched for literature in 3 databases (PubMed, Scopus, and Embase) and defined eligibility criteria based on the relevance to the research question. Recipient characteristics and health video communication outcomes were identified and classified.

RESULTS

Of the 1040 documents initially identified, 128 (12.31%) met the criteria for full-text assessment, and 39 (3.75%) met the inclusion criteria. The included studies reported 56 recipient characteristics and 42 communication outcomes. The reported associations between characteristics and outcomes were identified, and the potential research opportunities were discussed. Contributions were made to theory development by amending the existing framework of the Integrated-Change model, which is an integrated model of motivational and behavioral change.

CONCLUSIONS

Although several recipient characteristics and health video communication outcomes were identified, there is a lack of robust empirical evidence on the association between them. Further research is needed to understand how the preceding characteristics of the recipients might affect the various outcomes of health video communication.

Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey

Background

Foods high in fat, sugar and salt (HFSS) are known to contribute to overweight and obesity. In addition to overweight and obesity, smoking, alcohol consumption and physical inactivity are known risk factors for non-communicable diseases, including several cancers and cardiovascular disease.

Methods

Secondary analysis of UK-representative cross-sectional survey data of 3293 adults aged 18+. Regression analyses were undertaken to understand the relationship between consumption of HFSS food and soft drinks, alcohol and tobacco and socio-demographics. Clustering analysis identified groupings of health risk factors.

Results

Males, those aged 18–24 and those from the more deprived groups consumed ready meals and fast food most frequently. Most of the sample (77.3%) engaged in at least one health risk behaviour. Six clusters were identified in the clustering analysis. Older (65+) female respondents were more likely to be inactive. Smokers exhibiting additional risk behaviours were more likely to be of working age from more deprived groups, and men over 65 were more likely to consume harmful levels of alcohol with additional risk factors.

Conclusion

Policies and services in the UK tend to focus on changing behaviour to address individual risk factors. This study shows that policies and interventions need to address multiple risk factors.

Precise Persuasion: Investigating Incentive Appeals for the Promotion of Antibiotic Stewardship with Message-induced Transitions

Two different lines of research-interpersonal resistance and public campaign design-lead us to consider the use of incentive appeals to motivate behavior change, with a call for greater attention to and use of positive incentives. This study tests the potential to promote antibiotic stewardship through microbiome benefits. In addition, multiple analyses were used: A causal analysis allowed us to identify what moved (e.g., which beliefs and intentions), a latent transition analysis allowed us to reveal who moved (targets, nontargets, or both), and a Markov model allowed us to estimate the stable state of these moves or, in other words, where and how the repetition of the messages would ultimately lead in terms of transitions from state to state. An experiment (N = 298), grounded in the context of antibiotic stewardship, showed that incentive appeals moved people with problematic patterns of past behavior (categorized as Persuaders, Stockers, and Dissenters) to positive patterns of behavioral intentions (categorized as Stewards). The causal analysis, latent class analysis, and equilibrium values for the separate transition matrices showed the relative benefit for a message that highlighted the health and wellness benefits of the microbiome. Implications for persuasion theory and practice are discussed.

Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide

One-size-fits-all interventions that aim to change behavior are a missed opportunity to improve human health and well-being, as they do not target the different reasons that drive people's choices and behaviors. Psycho-behavioral segmentation is an approach to uncover such differences and enable the design of targeted interventions, but is rarely implemented at scale in global development. In part, this may be due to the many choices program designers and data scientists face, and the lack of available guidance through the process. Effective segmentation encompasses conceptualization and selection of the dimensions to segment on, which often requires the design of suitable qualitative and quantitative primary research. The choice of algorithm and its parameters also profoundly shape the resulting output and how useful the results are in the field. Analytical outputs are not self-explanatory and need to be subjectively evaluated and described. Finally, segments can be prioritized and targeted with matching interventions via appropriate channels. Here, we provide an end-to-end overview of all the stages from planning, designing field-based research, analyzing, and implementing a psycho-behavioral segmentation solution. We illustrate the choices and critical steps along the way, and discuss a case study of segmentation for voluntary medical male circumcision that implemented the method described here. Though our examples mostly draw on health interventions in the developing world, the principles in this approach can be used in any context where understanding human heterogeneity in driving behavior change is valuable.

Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide

One-size-fits-all interventions that aim to change behavior are a missed opportunity to improve human health and well-being, as they do not target the different reasons that drive people’s choices and behaviors. Psycho-behavioral segmentation is an approach to uncover such differences and enable the design of targeted interventions, but is rarely implemented at scale in global development. In part, this may be due to the many choices program designers and data scientists face, and the lack of available guidance through the process. Effective segmentation encompasses conceptualization and selection of the dimensions to segment on, which often requires the design of suitable qualitative and quantitative primary research. The choice of algorithm and its parameters also profoundly shape the resulting output and how useful the results are in the field. Analytical outputs are not self-explanatory and need to be subjectively evaluated and described. Finally, segments can be prioritized and targeted with matching interventions via appropriate channels. Here, we provide an end-to-end overview of all the stages from planning, designing field-based research, analyzing, and implementing a psycho-behavioral segmentation solution. We illustrate the choices and critical steps along the way, and discuss a case study of segmentation for voluntary medical male circumcision that implemented the method described here. Though our examples mostly draw on health interventions in the developing world, the principles in this approach can be used in any context where understanding human heterogeneity in driving behavior change is valuable.

The stability of health-related behaviour clustering during mid-adulthood and the influence of social circumstances on health-related behaviour change

Evidence suggests that health-related behaviours (HRBs) cluster in mid-adulthood and are associated with social circumstances (i.e. economic circumstances, cultural norms, employment relations) at the same age. However, little is known about the level of stability in HRB cluster membership during mid-adulthood and how social circumstances in early mid-adulthood may influence movement between HRB clusters during mid-life. Data were taken from a British cohort born in 1958 (N = 12,784), to examine the stability of membership of three HRB clusters: 'Risky', 'Moderate Smokers' and 'Mainstream' (the latter pattern consisting of more beneficial HRBs such as not smoking, moderate alcohol consumption, being physically active), between ages 33 and 42. The relationship between social circumstances at age 33 and movement between HRB clusters during mid-adulthood was also examined. HRB cluster membership was relatively stable during mid-adulthood, over 60% of the participants remained in the same cluster at both ages. However, there was considerable probability of movement from the 'Risky' and 'Moderate Smokers' clusters at age 33 to the 'Mainstream' cluster at age 42. Members of the 'Risky' cluster had a lower probability of transitioning to the 'Mainstream' cluster (men = 17%, women = 9%, p < 0.001) in comparison to the 'Moderate Smokers' cluster (men = 26%, women = 27%, p < 0.001). Social circumstances at age 33 did not influence change in HRB cluster membership between ages 33 and 42 (p > 0.05). Movement from the 'Risky' and 'Moderate Smokers' cluster to the 'Mainstream' cluster during mid-adulthood highlights improvements for most HRBs. Person-centred interventions are required to prevent persistent negative HRBs amongst 'Risky' cluster members.

Campaign Preparation for Complex Initiatives: A Person-Centered Approach to Audience Segmentation of Parents' Antibiotic Stewardship

The evolution of antibiotic resistance is outpacing the speed at which new antibiotics will reach the marketplace. To slow the rate of resistance, people need to engage in antibiotic stewardship, which includes acts to prevent the spread of bacteria and judicious use of antibiotics to treat infections. This study identified the patterns and predictors of antibiotic stewardship behaviors of parents (N = 516) related to their children. The latent class analysis revealed three profiles of parental stewardship, labeled Stewards, Requesters, and Non-Stewards. The findings implied different campaign goals: to encourage Stewards to follow through on their intentions, to encourage Requesters to stop asking providers for antibiotics when their children have ear infections, and to influence Non-Stewards to accept medical advice when an antibiotic is not indicated and to dispose of leftover antibiotics. The covariate analysis provided theoretical insight into the strategies to pursue in campaigns targeting these three groups. For example, parents who perceived antibiotic-resistant infections as less serious health conditions, felt less worry when thinking about their child getting an antibiotic-resistant infection, and had stronger misattributions of antibiotics' efficacy to treat multiple symptoms were more likely to be Requesters and Non-Stewards, instead of Stewards.

Segmenting women eligible for cervical cancer screening using demographic, behavioural and attitudinal characteristics

The best ways to communicate effectively to under-screened women about cervical cancer screening are unknown. Segmentation techniques create homogeneous segments of women in the population that are different from one another, and help to determine on whom communication efforts should be focused and how messaging should be tailored. We used segmentation techniques to better understand the demographics, attitudes and behaviours of women eligible for cervical screening. We developed a brief online questionnaire that consisted of demographic characteristics, attitudes toward health, and cervical screening behaviour. Simple descriptive statistics were used to describe the study population and principal components analysis was used to define the segments. The study sample consisted of 615 women living in Ontario, 508 from the general population and 107 from South Asia; 63.1% reported regular screening. We defined four segments that represented the sample: i) Proactive, ii) Family First, iii) Social and Stylish, and iv) Faith-Driven. South Asians were represented in all segments. Women who were in the Family First and Faith-Driven segments were least likely to have regular Pap tests and were least likely to know about human papilloma virus (HPV)'s role in cervical cancer. The Internet was very popular among women in all segments as a source of health information, particularly among Faith-Driven women. Only 69.2% of Family First women listed their family physician as a source of health information vs. 91.1% of Proactive women. Future research should focus on how to most effectively reach women who meet the Family First and Faith-Driven profiles, and through which communication media.

Communicating health-Optimising young adults' engagement with health messages using social media: Study protocol

BACKGROUND

Obesity is a global health problem. Understanding how to utilise social media (SM) as a platform for intervention and engagement with young adults (YAs) will help the practitioners to harness this media more effectively for obesity prevention.

AIM

Communicating health (CH) aims to understand the use of SM by YAs, including Aboriginal YAs, and in doing so will improve the effectiveness of SM strategies to motivate, engage and retain YAs in interventions to reduce the risk of obesity, and identify and disseminate effective ways for health professionals to deliver obesity prevention interventions via SM.

METHODS

The present study describes the theoretical framework and methodologies for the CH study, which is organised into four interrelated phases, each building on the outcomes of preceding phases. Phase 1 is a mixed methods approach to understand how YAs use SM to navigate their health issues, including healthy eating. Phase 2 utilises co-creation workshops where YAs and public health practitioners collaboratively generate healthy eating messages and communication strategies. Phase 3 evaluates these messages in a real-world setting. Phase 4 is the translation phase where public health practitioners use outcomes from CH to inform future strategies and to develop tools for SM for use by stakeholders and the research community.

DISCUSSION

The outcomes will include a rich understanding of psychosocial drivers and behaviours associated with healthy eating and will provide insight into the use of SM to reach and influence the health and eating behaviours of YAs.

Community influences on modern contraceptive use among young women in low and middle-income countries: a cross-sectional multi-country analysis

Background

Despite investment in family planning programs and education, unmet need for family planning remains high among young women (aged 15–24) in low and middle-income countries, increasing the risk for unwanted pregnancies and adverse social and reproductive health outcomes. There is a dearth of cross-national research that identifies the differential impact of community level factors among youth in low and middle-income countries (LMICs), which is imperative for the design of structural level interventions aimed at increasing family planning use.

Methods

Grounded in the socio-ecological framework, this paper utilizes Demographic and Health Survey (DHS) from 52 LMICs to examine the influence of community level reproductive, gender, fertility, literacy and economic indicators on modern contraceptive use among female youth. Analyses are conducted using multi-level logistic regressions with random community-level effects.

Results

Our findings highlight the positive influence of community level education attainment and negative influence of gender and fertility related norms on young women’s contraceptive use. Additionally, increased exposure to mass media did not positively influence young women’s uptake of modern contraceptive methods.

Conclusions

Taken together, findings indicate that young women’s contraceptive decision-making is greatly shaped by their social contexts. The commonalities and regional variations in community level influences provide support for both structural level interventions and tailored regional approaches to family planning interventions.

Lifestyle-related attitudes: do they explain self-rated health and life-satisfaction?

BACKGROUND

Strategies to improve public health may benefit from targeting specific lifestyles associated with poor health behaviors and outcomes. The aim of this study was to characterize and examine the relationship between health and lifestyle-related attitudes (HLAs) and self-rated health and life-satisfaction.

METHODS

Secondary analyses were conducted on data from a 2012 community wellness survey in Kirklees, UK. Using a validated HLA tool, respondents (n = 9130) were categorized into five segments: health conscious realists (33%), balanced compensators (14%), live-for-todays (18%), hedonistic immortals (10%), and unconfident fatalists (25%). Multivariate regression was used to examine whether HLAs could explain self-rated health using the EQ-5D visual analog scale (EQ-VAS) and life-satisfaction. Health conscious realists served as the reference group.

RESULTS

Self-rated health differed by HLA, with adjusted mean EQ-VAS scores being significantly higher (better) among balanced compensators (1.15, 95% CI 0.27, 2.03) and lower scores among unconfident fatalists (- 9.02, 95% CI - 9.85, - 8.21) and live-for-todays (- 1.96, 95% CI - 2.80, - 1.14). Balanced compensators were less likely to report low life-satisfaction (OR 0.75, 95% CI 0.62, 0.90), while unconfident fatalists were most likely to have low life-satisfaction (OR 3.51, 95% CI 2.92, 4.23).

SIGNIFICANCE

Segmentation by HLA explained differences in self-rated health and life-satisfaction, with unconfident fatalists being a distinct segment with significantly worse health perceptions and life-satisfaction. Health promotion efforts may benefit from considering the HLA segment that predominates a patient group, especially unconfident fatalists.

Prevalence of drink-driving among adults in China: A nationally representative survey in 2010

OBJECTIVE

We examined the prevalence of and characteristics associated with drink-driving in China. We compared this study's drink-driving findings with those from the United States to explore how effective traffic safety interventions from Western cultures might be adapted for use in China.

METHODS

Data from the 2010 China Chronic Disease and Risk Factor Survey were analyzed to describe the prevalence and characteristics associated with drink-driving in China.

RESULTS

Overall, 1.5% of Chinese adults reported drink-driving in the past 30 days-3% of males and 0.1% of females. However, among males who had driven a vehicle in the past 30 days and consumed at least one alcoholic beverage in the past 30 days, 19% reported drink-driving during the 30-day period. Excessive drinking, binge drinking, nonuse of seat belts, and having been injured in a road traffic crash in the past year were most strongly associated with drink-driving among males.

CONCLUSIONS

Drink-driving is prevalent among male drivers in China. Although large differences exist between China and the United States in the proportion of adults who drive, the proportion who consume alcohol, and some of the personal characteristics of those who drink and drive, similarities between the 2 countries are present in patterns of risk behaviors among drink-driving. To reduce injuries and deaths from drink-driving, effective interventions from Western cultures need to be tailored for adoption in China.

Chronic Fatigue Syndrome prevalence is grossly overestimated using Oxford criteria compared to Centers for Disease Control (Fukuda) criteria in a U.S. population study

Background

Results from treatment studies using the low threshold Oxford criteria for recruitment may have been overgeneralized to patients diagnosed by more stringent CFS criteria.

Purpose

To compare the selectivity of Oxford and Fukuda criteria in a U.S. population.

Methods

Fukuda (Center for Disease Control (CDC)) criteria, as operationalized with the CFS Severity Questionnaire (CFSQ), were included in the nationwide rc2004 HealthStyles survey mailed to 6,175 participants who were representative of the US 2003 Census population. The 9 questionnaire items (CFS symptoms) were crafted into proxies for Oxford criteria (mild fatigue, minimal exclusions) and Fukuda criteria (fatigue plus ≥4 of 8 ancillary criteria at moderate or severe levels with exclusions). The comparative prevalence estimates of CFS were then determined. Severity scores for fatigue were plotted against the sum of severities for the 8 ancillary criteria. The 4 quadrants of scatter diagrams assessed putative healthy controls, CFS, chronic idiopathic fatigue, and CFS-like with insufficient fatigue subjects.

Results

The Oxford criteria designated CFS in 25.5% of 2,004 males and 19.9% of 1,954 females. Based on quadrant analysis, 85% of Oxford-defined cases were inappropriately classified as CFS. Fukuda criteria identified CFS in 2.3% of males and 1.8% of females.

Discussion

CFS prevalence using Fukuda criteria and quadrant analysis were near the upper limits of previous epidemiology studies. The CFSQ may have utility for on-line and outpatient screening. The Oxford criteria were untenable because they inappropriately selected healthy subjects with mild fatigue and chronic idiopathic fatigue and mislabeled them as CFS.

Psychographic characteristics, tobacco, and alcohol use in a sample of young adults on the U.S./México border

Few studies using psychographic segmentation have been conducted; even fewer in minority samples. Study aims were to identify psychographic clusters and their relation to tobacco and alcohol use within a predominantly Hispanic (87%) young adult (ages 18-25) sample. Participants (N=754; 72.5% female; Mage=20.7 [2.2]) completed the following measures online: sociodemographics, tobacco use history, the Daily Drinking Questionnaire (Collins, Parks, & Marlatt, 1985), a social activities scale, a psychographic survey, a music preference item, the Brief Sensation Seeking Scale (Hoyle, Stephenson, Palmgreen, Lorch, & Donohew, 2002), and the Mini-International Personality Item Pool (Donnellan, Oswald, Baird, & Lucas, 2006). Two step cluster analysis identified two groups. 'Popular Extroverts' (49.3% of sample) reported higher: extroversion scores F(1, 652)=40.03, sensation seeking scores F(1, 652)=20.38, alcohol use (greater number of drinks per week [F(1, 652)=9.69]; and past month binge drinking [χ² (1)=12.80]), and lifetime tobacco use (χ² [1]=10.61) (all ps≤0.002). 'Mainstream/Conventionals' (50.7% of sample) reported greater intentions to smoke in the next month F(1, 284)=11.81, p=0.001. 'Popular Extroverts' may benefit from prevention/cessation messaging promoting peer support and intensity-oriented activities. For 'Mainstream/Conventionals,' messaging communicating negative attitudes toward smoking and the tobacco industry may be effective. Future directions include testing targeted messages which may be incorporated into mass media tobacco and alcohol interventions for young adults on the U.S./México border.

Recreating Communities to Support Active Living: A New Role for Social Marketing

The lack of routine physical activity has become an all too pervasive health threat in the United States. Social marketing can be used directly to promote increased physical activity among people who have access to active living options (e.g., safe and convenient sidewalks or bike paths). A second, albeit indirect, use of social marketing to promote physical activity — and the focus of this article — involves promoting behaviors that influence the built environment for the purpose of increasing people's access to active living options. This use of social marketing involves changing the behavior of consumers, developers, distribution channels (e.g., real estate agents) and policy makers. The approach offers public health and other organizations a disciplined, consumer-focused means of mobilizing their available resources in a manner that maximizes the odds of creating active living communities. These means include understanding the competition, understanding target markets, creating mutually beneficial exchanges, segmenting markets and targeting them based on anticipated return. This article identifies specific opportunities for applying the social marketing approach to create active living communities, and identifies opportunities at the state and national level that will enhance the effectiveness of local efforts.

Promotion of flu vaccination among healthcare workers in an Italian academic hospital: An experience with tailored web tools

BACKGROUND

Influenza causes significant mortality particularly among the elderly and high-risk groups. Healthcare workers (HCWs) are at risk of occupational exposure due to contact with patients. Aims of this study was to promote flu shot among HCWs through a multimedia campaign in a large North-Eastern Italian Hospital.

METHODS

The 2013/2014 flu vaccination multimedia campaign addressed to HCWs was developed by maintaining pre-existing tools (letters in pay slip and poster displayed in wards) and creating 4 on-line spots (30") delivered trough the hospital intranet. Campaign effectiveness was assessed in terms of changes in knowledge, attitude and practice comparing data of pre (10 items) and post test (20 items) survey on a randomized sample of HCWs.

RESULTS

Response rates were 92.6% (464/501) in pre-test and 83.2% (417/501) in post-test. 93.8% (391/417) of HCWs reported to awareness of the campaign to promote vaccination. Spots were seen by 59.6% (233/391) of HCWs. Some reasons for vaccine denial, "not believing in vaccine efficacy" (34.7% to 14.9%), "not considering flu as a serious problem" (from 24% to 12.6%), "thinking not to get sick" (28.7% to 18.2%) or "being against the vaccine" (32.7% to 21%), showed a statistically significant reduction after the exposure to the campaign. The "intention to get vaccinated in the next year" instead, raised effectively (13.1% to 36.6%). Vaccinated HCWs rate in 2013-2014 season was 7.6% (221/2910), and 5.6% (164/2910) in 2012-2013 (p<0.005).

CONCLUSIONS

The multimedia campaign succeeded with regard to KAP outcomes, but the vaccination rate is still far from the goal of 90%. Due to their impact, especially on younger age groups, web tools deserve to be better studied as effective approach to convey health information among HCWs.

Knowledge and attitudes of adults towards smoking in pregnancy: results from the HealthStyles© 2008 survey

Smoking during pregnancy is causally associated with many adverse health outcomes. Quitting smoking, even late in pregnancy, improves some outcomes. Among adults in general and reproductive-aged women, we sought to understand knowledge and attitudes towards prenatal smoking and its effects on pregnancy outcomes. Using data from the 2008 HealthStyles© survey, we assessed knowledge and attitudes about prenatal smoking and smoking cessation. We classified respondents as having high knowledge if they gave ≥ 5 correct responses to six knowledge questions regarding the health effects of prenatal smoking. We calculated frequencies of correct responses to assess knowledge about prenatal smoking and estimated relative risk to examine knowledge by demographic and lifestyle factors. Only 15 % of all respondents and 23 % of reproductive-aged women had high knowledge of the adverse effects of prenatal smoking on pregnancy outcomes. Preterm birth and low birth weight were most often recognized as adverse outcomes associated with prenatal smoking. Nearly 70 % of reproductive-aged women smokers reported they would quit smoking if they became pregnant without any specific reasons from their doctor. Few respondents recognized the benefits of quitting smoking after the first trimester of pregnancy. Our results suggest that many women lack knowledge regarding the increased risks for adverse outcomes associated with prenatal smoking. Healthcare providers should follow the recommendations provided by the American Congress of Obstetricians and Gynecologists, which include educating women about the health risks of prenatal smoking and the benefits of quitting. Healthcare providers should emphasize quitting smoking even after the first trimester of pregnancy.

Preparing for Antibiotic Resistance Campaigns: A Person-Centered Approach to Audience Segmentation

Antibiotic resistance is a growing threat to public health that calls for urgent attention. However, creating campaigns to slow the emergence and spread of drug-resistant pathogens is challenging because the goal-antibiotic stewardship-encompasses multiple behaviors. This study provided a novel approach to audience segmentation for a multifaceted goal, by using a person-centered approach to identify profiles of U.S. adults based on shared stewardship intentions. The latent class analysis identified three groups: stewards, stockers, and demanders. The findings suggest campaigns with goals aimed at encouraging stewards to follow through on their intentions, encouraging stockers to dispose of their leftover antibiotics, and convincing demanders to accept providers' evidence-based judgment when a prescription for antibiotics is not indicated. Covariate analysis showed that people who held more inaccurate beliefs about what antibiotics can treat had higher odds of being demanders and stockers instead of stewards. People with stronger health mavenism also had higher odds of being stockers instead of stewards. The covariate analysis provided theoretical insight into the strategies to pursue in campaigns targeting these 3 groups.

Addressing the Vaccine Hesitancy Continuum: An Audience Segmentation Analysis of American Adults Who Did Not Receive the 2009 H1N1 Vaccine

Understanding the heterogeneity of groups along the vaccine hesitancy continuum presents an opportunity to tailor and increase the impact of public engagement efforts with these groups. Audience segmentation can support these goals, as demonstrated here in the context of the 2009 H1N1 vaccine. In March 2010, we surveyed 1569 respondents, drawn from a nationally representative sample of American adults, with oversampling of racial/ethnic minorities and persons living below the United States Federal Poverty Level. Guided by the Structural Influence Model, we assessed knowledge, attitudes, and behaviors related to H1N1; communication outcomes; and social determinants. Among those who did not receive the vaccine (n = 1166), cluster analysis identified three vaccine-hesitant subgroups. Disengaged Skeptics (67%) were furthest from vaccine acceptance, with low levels of concern and engagement. The Informed Unconvinced (19%) were sophisticated consumers of media and health information who may not have been reached with information to motivate vaccination. The Open to Persuasion cluster (14%) had the highest levels of concern and motivation and may have required engagement about vaccination broadly. There were significant sociodemographic differences between groups. This analysis highlights the potential to use segmentation techniques to identify subgroups on the vaccine hesitancy continuum and tailor public engagement efforts accordingly.

Development of patient-centric linguistically tailored psychoeducational messages to support nutrition and medication self-management in type 2 diabetes: a feasibility study

PURPOSE

This study evaluated the feasibility of developing linguistically tailored educational messages designed to match the linguistic styles of patients segmented into types with the Descriptor™, and to determine patient preferences for tailored or standard messages based on their segments.

PATIENTS AND METHODS

Twenty patients with type 2 diabetes (T2DM) were recruited from a diabetes health clinic. Participants were segmented using the Descriptor™, a language-based questionnaire, to identify patient types based on their control orientation (internal/external), agency (high/low), and affect (positive/negative), which are well studied constructs related to T2DM self-management. Two of the seven self-care behaviors described by the American Association of Diabetes Educators (healthy eating and taking medication) were used to develop standard messages and then linguistically tailored using features of the six different construct segment types of the Descriptor™. A subset of seven participants each provided feedback on their preference for standard or linguistically tailored messages; 12 comparisons between standard and tailored messages were made.

RESULTS

Overall, the tailored messages were preferred to the standard messages. When the messages were matched to specific construct segment types, the tailored messages were preferred over the standard messages, although this was not statistically significant.

CONCLUSION

Linguistically tailoring messages based on construct segments is feasible. Furthermore, tailored messages were more often preferred over standard messages. This study provides some preliminary evidence for tailoring messages based on the linguistic features of control orientation, agency, and affect. The messages developed in this study should be tested in a larger more representative sample. The present study did not explore whether tailored messages were better understood. This research will serve as preliminary evidence to develop future studies with the ultimate goal to design intervention studies to investigate if linguistically tailoring communication within the context of patient education influences patient knowledge, motivation, and activation toward making healthy behavior changes in T2DM self-management.

Reasons for Nondaily Smoking among Young Adults: Scale Development and Validation

INTRODUCTION

Given the increased rates of nondaily smoking and the lack of validated measures to assess factors related to nondaily smoking, we aimed to develop a measure of reasons for nondaily smoking among young adults. Specifically, we developed a scale assessing reasons or triggers for nondaily smoking and examined its reliability, factor structure, and concurrent validity.

METHODS

We administered an online survey to 2,000 students at six colleges in the Southeastern US, and 718 (35.9%) returned a completed survey. The current analyses focused on the 95 participants who reported nondaily smoking (i.e., smoking between 1 and 29 days of the past 30 days). In addition to the items created for scale development, measures included socio-demographics, other measures of motivation and confidence/self-efficacy, past smoking/quitting history, readiness to quit, and other psychosocial factors related to smoking.

RESULTS

The 19-item Reasons for Nondaily Smoking Scale (RNS) demonstrated an average score of 45.36 (SD = 15.55) and internal consistency (Cronbach's alpha of 0.79). Factor analysis of the items extracted four factors which accounted for 57.4% of score variance: Social influences; Enhancing buzzes and positive affect; Negative affect regulation; and Lack of concern of addiction. Concurrent and discriminant validity were documented.

CONCLUSIONS

Developing validated measures designed to assess factors associated with nondaily smoking will enhance our ability to address this growing public health concern. The development and validation of the RNS for young adults may be critical in informing our intervention strategies and potentially for effecting or predicting cessation among young adult nondaily smokers.

Healthcare provider intervention on smoking and quit attempts among HIV-positive versus HIV-negative MSM smokers in Chengdu, China

Given the implications for smoking among HIV-positive individuals and high smoking and HIV rates among men who have sex with men (MSM) in China, we examined sociodemographic, smoking-related, psychosocial, and substance use factors in relation to HIV status; receiving some sort of healthcare provider intervention regarding smoking; and having made a quit attempt in the past year in a sample of MSM smokers in Chengdu. We conducted a cross-sectional survey of 381 MSM smokers recruited by a nongovernmental organization in Chengdu in 2012-2013. Of these, 350 disclosed their HIV status and 344 (188 HIV-positive and 156 HIV-negative) provided completed data. Half (50.0%) reported at least one quit attempt in their lifetime; 30.5% reported a quit attempt in the past year. The majority (59.4%) reported that a healthcare provider had intervened in some way (assessed smoking, advised quitting, provided assistance), most commonly by assessing smoking status (50.0%). HIV-positive individuals were more likely to report a healthcare provider intervening on their smoking (p < .001). Those who received provider intervention were more likely to have attempted to quit ever (p = .009) and in the past year (p < .001). Those HIV-positive were more likely to have attempted to quit since diagnosis if a provider had intervened (p = .001). Multivariate regression documented that being HIV-positive (p < .001), greater cigarette consumption (p = .02), less frequent drinking (p = .03), and greater depressive symptoms (p = .003) were significant correlates of healthcare provider intervention. Multivariate regression also found that healthcare provider intervention (p = .003), older age (p = .01), and higher autonomous motivation (p = .007) were significant correlates of attempting to quit in the past year. Given the impact of healthcare provider intervention regarding smoking on quit attempts among MSM, greater training and support is needed to promote consistent intervention on smoking in the clinical setting among HIV-positive and HIV-negative MSM smokers.

Alternative tobacco use among college students: who is at highest risk?

OBJECTIVE

To examines smoking status, substance use, sociodemographics, and psychosocial characteristics in relation to alternative tobacco use among college students.

METHODS

Current tobacco use (cigarettes, cigar-like products, hookah, chew, snus) and correlates (sociodemographics, sensation-seeking, attitudes toward tobacco and smokers, social factors) were assessed among students aged 18-25 at 6 Southeastern US colleges using an online survey.

RESULTS

Those who were younger, male, black, cigarette and marijuana users, and demonstrating at-risk psychosocial factors were at increased risk of alternative tobacco product use (p < .001). Among current smokers, never daily nondaily smokers were 3 times as likely as former daily non-daily smokers and daily smokers to use alternative tobacco products (p < .001).

CONCLUSIONS

Important risk factors for alternative tobacco use included important sociodemographic and psychosocial characteristics.

Typology of alcohol users based on longitudinal patterns of drinking

OBJECTIVE

Worldwide, alcohol is the most commonly used psychoactive substance. However, heterogeneity among alcohol users has been widely recognized. This paper presents a typology of alcohol users based on an implementation of idiographic methodology to examine longitudinal daily and cyclic (weekly) patterns of alcohol use at the individual level.

METHOD

A secondary data analysis was performed on the pre-intervention data from a large randomized control trial. A time series analysis was performed at the individual level, and a dynamic cluster analysis was employed to identify homogenous longitudinal patterns of drinking behavior at the group level. The analysis employed 180 daily observations of alcohol use in a sample of 177 alcohol users.

RESULTS

The first order autocorrelations ranged from -.76 to .72, and seventh order autocorrelations ranged from -.27 to .79. Eight distinct profiles of alcohol users were identified, each characterized by a unique configuration of first and seventh autoregressive terms and longitudinal trajectories of alcohol use. External validity of the profiles confirmed the theoretical relevance of different patterns of alcohol use. Significant differences among the eight subtypes were found on gender, marital status, frequency of drug use, lifetime alcohol dependence, family history of alcohol use and the Short Index of Problems.

CONCLUSIONS

Our findings demonstrate that individuals can have very different temporal patterns of drinking behavior. The daily and cyclic patterns of alcohol use may be important for designing tailored interventions for problem drinkers.

Nondaily Smoking Cessation Motivation for Young Adults: Scale Development and Validation

Introduction: Nondaily smoking is a growing public health concern, particularly among young adults. Given the lack of existing measures for assessing factors associated with this smoking pattern, the present study aims to develop a measure of motivation to quit among young adult nondaily smokers. Specifically, we developed a scale assessing motivation for nondaily smoking cessation, and examined its reliability, factor structure, and concurrent validity.

Methods: We administered an online survey to 2,000 students at six colleges in the Southeastern US, and 718 (35.9%) returned a completed survey. The current analyses focused on the 95 participants who reported nondaily smoking (i.e., smoking between 1 and 29 days of the past 30 days). In addition to the items created for scale development, measures included sociodemographics, other measures of motivation and confidence/self-efficacy, past smoking/quitting history, readiness to quit, and perceived harm.

Results: The 13-item Nondaily Smoking Cessation Motivation Questionnaire (NSCM) had an average score of 56.95 (SD = 24.33) and high internal consistency (Cronbach's alpha of 0.94). Factor analysis using principal components extraction with varimax rotation extracted three factors accounting for 76.8% of the variance: Controlled motivation, Autonomous motivation, and Amotivation. Concurrent and discriminant validity were documented.

Conclusions: This study provided information about the development and validation of the Nondaily Smoking Cessation Motivation Questionnaire for young adult nondaily smokers. Given the lack of validated measures to assess factors associated with nondaily smoking, this assessment may be critical in informing our intervention strategies and potentially for predicting cessation among nondaily smokers in the young adult population.

Segmenting by risk perceptions: predicting young adults' genetic-belief profiles with health and opinion-leader covariates

With a growing interest in using genetic information to motivate young adults' health behaviors, audience segmentation is needed for effective campaign design. Using latent class analysis, this study identifies segments based on young adults' (N = 327) beliefs about genetic threats to their health and personal efficacy over genetic influences on their health. A four-class model was identified. The model indicators fit the risk perception attitude framework (Rimal & Real, 2003), but the covariates (e.g., current health behaviors) did not. In addition, opinion leader qualities covaried with one profile: Those in this profile engaged in fewer preventative behaviors and more dangerous treatment options, and also liked to persuade others, making them a particularly salient group for campaign efforts. The implications for adult-onset disorders, like alpha-1 antitrypsin deficiency, are discussed.

Beliefs and communication practices regarding cognitive functioning among consumers and primary care providers in the United States, 2009

INTRODUCTION

Limited research has examined primary care providers' communication with patients about maintaining cognitive functioning. Our study's objective was to compare the perceptions of consumers and primary care providers related to beliefs and communication practices about lifestyle behaviors beneficial for overall health and for maintaining cognitive functioning.

METHODS

In 2009, we submitted 10 questions to Porter Novelli's HealthStyles survey and 6 questions to their DocStyles survey. We compared consumers' (n = 4,728) and providers' (n = 1,250) beliefs, practices, and information sources related to maintaining health and cognitive functioning. We made comparisons using nonparametric statistics.

RESULTS

Approximately 76% of consumers considered their health to be good or very good; 73.4% were concerned or very concerned about the possibility that their memory may worsen with age. Women were significantly more concerned than men, and white consumers were more concerned than black and Hispanic consumers. Consumers reported they believed that intellectual stimulation (86.6%), physical activity (82.6%), and healthful diet (82.5%) prevented or delayed cognitive impairment. Providers reported advising patients to reduce cognitive impairment risk through physical activity (85.9%), intellectual stimulation (80.3%), and social involvement (67.4%). Few consumers (7.8%) reported receiving this information from providers but reported learning about strategies to maintain memory, primarily from television (50.1%), magazines (44.1%), and newspapers (33.7%).

CONCLUSION

Providers reported advising patients about how to reduce risks of cognitive impairment. Consumers reported receiving this information from other sources. Findings suggest a need to examine and assess media messages and to better understand patient-provider communication about cognitive functioning.

Intent to quit among daily and non-daily college student smokers

Given the high prevalence of young adult smoking, we examined (i) psychosocial factors and substance use among college students representing five smoking patterns and histories [non-smokers, quitters, native non-daily smokers (i.e. never daily smokers), converted non-daily smokers (i.e. former daily smokers) and daily smokers] and (ii) smoking category as it relates to readiness to quit among current smokers. Of the 4438 students at six Southeast colleges who completed an online survey, 69.7% (n = 3094) were non-smokers, 6.6% (n = 293) were quitters, 7.1% (n = 317) were native non-daily smokers, 6.4% (n = 283) were converted non-daily smokers and 10.2% (n = 451) were daily smokers. There were differences in sociodemographics, substance use (alcohol, marijuana, other tobacco products) in the past 30 days and psychosocial factors among these subgroups of students (P < 0.001). Among current smokers, there were differences in cigarettes smoked per day, recent quit attempts, self-identification as a smoker, self-efficacy and motivation to quit (P < 0.001). After controlling for important factors, converted non-daily smokers were more likely to be ready to quit in the next month versus native non-daily smokers (OR = 2.15, CI 1.32-3.49, P = 0.002). Understanding differences among young adults with different smoking patterns and histories is critical in developing interventions targeting psychosocial factors impacting cessation among this population.

Sex differences in barriers to antihypertensive medication adherence: findings from the cohort study of medication adherence among older adults

OBJECTIVES

To determine whether sociodemographic, clinical, healthcare system, psychosocial, and behavioral factors are differentially associated with low antihypertensive medication adherence scores in older men and women.

DESIGN

Cross-sectional analysis of baseline data.

SETTING

Cohort Study of Medication Adherence in Older Adults (N = 2,194).

MEASUREMENTS

Low antihypertensive medication adherence was defined as a score less than 6 on the 8-item Morisky Medication Adherence Scale. Information on risk factors for low adherence was collected using telephone surveys and administrative databases.

RESULTS

The prevalence of low medication adherence scores did not differ according to sex (women, 15.0%; men 13.1%; P = .21). In sex-specific multivariable models, having problems with medication cost and practicing fewer lifestyle modifications for blood pressure control were associated with low adherence scores in men and women. Factors associated with low adherence scores in men but not women were poor sexual functioning (odds ratio (OR) = 2.03, 95% confidence interval (CI) = 1.31-3.16 for men and OR = 1.28, 95% CI = 0.90-1.82 for women), and body mass index of 25.0 kg/m(2) or more (OR = 3.23, 95% CI = 1.59-6.59 for men; OR = 1.23, 95% CI = 0.82-1.85 for women). Factors associated with low adherence scores in women but not men included dissatisfaction with communication with their healthcare provider (OR = 1.75, 95% CI = 1.16-2.65 for women; OR = 1.16, 95% CI = 0.57-2.34 for men) and depressive symptoms (OR = 2.29, 95% CI = 1.55-3.38 for women; OR = 0.93, 95% CI = 0.48-1.80 for men).

CONCLUSION

Factors associated with low antihypertensive medication adherence scores differed according to sex. Interventions designed to improve adherence in older adults should be customized to account for the sex of the target population.

Harm reduction and cessation efforts and interest in cessation resources among survivors of smoking-related cancers

PURPOSE

Despite the well-established risks associated with persistent smoking, many cancer survivors who were active smokers at the time of cancer diagnosis continue to smoke. In order to guide the development of tobacco cessation interventions for cancer survivors, a better understanding is needed regarding post-diagnosis quitting efforts. Thus, we examined quitting and reduction efforts and interest in cessation resources among cancer survivors who self-identified as current smokers at the time of diagnosis.

METHODS

We conducted analyses of survey participants (n = 54) who were current smokers at the time of cancer diagnosis and were continued smokers at the time of assessment. We also conducted semi-structured interviews (n = 21) among a subset of those who either continued to smoke or quit smoking post-cancer diagnosis.

RESULTS

Among our survey participants, 22.2 % had ever used behavioral cessation resources and 66.7 % had use pharmacotherapy, while 62.8 % had interest in future use of behavioral cessation resources and 75.0 % had interest in pharmacotherapy. The majority reported some quitting efforts including making quit attempts, using cessation medications, and reducing their daily cigarette consumption. Semi-structured interview data revealed various strategies used to aid in smoking reduction and cessation as well as variability in preferences for cessation resources.

CONCLUSIONS

Cancer patients who smoke following diagnosis often engage in smoking reduction and cessation-related behaviors, which may reflect their motivation to reduce their smoking-related risks. They also report high interest in cessation resources. Thus, it is important to explore the acceptability and effectiveness of different cessation intervention components among this group.

IMPLICATIONS FOR CANCER SURVIVORS

Cancer survivors who smoke demonstrate actions toward harm reduction and cessation. They should inquire about potential resources that might facilitate their efforts among their healthcare providers and enlist support and advice from others around them to bolster their efforts.

College student smokers: former versus current and nonsmokers

BACKGROUND

Little is known about how former smokers are different from nonsmokers and current smokers in the young adult population.

PURPOSE

Intra- and inter-personal factors associated with former smoking status were examined among a college student sample.

METHODS

Undergraduate students (N=8834) were contacted at a 2-year college and a 4-year university in 2008; 2700 completed the online survey (30.6% response rate). Current analyses, conducted in 2011, focused on 2589 students aged 18-30 years. Current (past 30-day) smoking prevalence was 35.3% (n=918); 9.2% (n=244) were former smokers.

RESULTS

Multinomial logistic regression found that compared to former smokers, nonsmokers were younger (OR=0.91, CI=0.89, 0.92); less frequently used other tobacco products (OR=0.97, CI=0.94, 0.99); less frequently limited their dietary fat intake (OR=0.98, CI=0.97, 0.99); had more negative attitudes regarding smoking (OR=1.03, CI=1.02, 1.04); had lower levels of hope (OR=0.97, CI=0.94, 0.99); and had fewer friends who smoked (OR=0.74, CI=0.67, 0.83). Compared to former smokers, current smokers were younger (OR=0.94, CI=0.92, 0.96); more frequently binge drank (OR=1.11, CI=1.05, 1.18); less frequently limited their dietary fat intake (OR=0.98, CI=0.96, 0.99); had less negative attitudes toward smoking (OR=0.97, CI=0.96, 0.98); had lower levels of hope (OR=0.96, CI=0.94, 0.99); were more likely to live with other smokers (OR=2.09, CI=1.45, 3.00); and had more friends who smoked (OR=1.20, CI=1.07, 1.34).

CONCLUSIONS

Intrapersonal factors (hope, attitudes toward smoking); interpersonal factors (living with smokers, friends' smoking); and use of other substances (alcohol, alternative tobacco products) are associated with differing smoking behaviors.

Smoking frequency among current college student smokers: distinguishing characteristics and factors related to readiness to quit smoking

Given the increased prevalence of non-daily smoking and changes in smoking patterns, particularly among young adults, we examined correlates of smoking level, specifically motives for smoking, and readiness to quit smoking among 2682 college undergraduates who completed an online survey. Overall, 64.7% (n = 1736) were non-smokers, 11.6% (n = 312) smoked 1-5 days, 10.5% (n = 281) smoked 6-29 days and 13.2% (n = 353) were daily smokers. Ordinal regression analyses modeling smoking level indicated that correlates of higher smoking level included having more friends who smoke (β = 0.63, 95% CI 0.57-0.69) and more frequent other tobacco use (β = 0.04, 95% CI 0.02-0.05), drinking (β = 0.04, 95% CI 0.02-0.07) and binge drinking (β = 0.09, 95% CI 0.06-0.13). Bivariate analyses indicated that daily smokers (versus the subgroups of non-daily smokers) were less likely to smoke for social reasons but more likely to smoke for self-confidence, boredom, and affect regulation. Controlling for sociodemographics, correlates of readiness to quit among current smokers included fewer friends who smoke (P = 0.002), less frequent binge drinking (P = 0.03), being a social smoker (P < 0.001), smoking less for self-confidence (P = 0.04), smoking more for boredom (P = 0.03) and less frequent smoking (P = 0.001). Specific motives for smoking and potential barriers to cessation particularly may be relevant to different groups of college student smokers.

Identifying subtypes of dual alcohol and marijuana users: a methodological approach using cluster analysis

Alcohol is the most common psychoactive substance used with marijuana. However, little is known about the potential impact of different levels of use of both alcohol and marijuana and their influence on risky behaviors, injuries and psychosocial functioning. A systematic approach to identifying patterns of alcohol and marijuana use associated with increased risks has not yet been identified in the literature. We report on the secondary analysis of data collected from a RCT conducted in a busy urban emergency department. Cluster analysis was performed on the patterns of past 30-day alcohol and marijuana use in two random subsamples N₁=210 and N₂=217. Four distinct subtypes of those who use both alcohol and marijuana were identified: (1) Daily Marijuana and Weekly Alcohol users; (2) Weekly Alcohol and Weekly Marijuana users; (3) Daily Alcohol and Daily Marijuana users; and (4) Daily Alcohol, Weekly Marijuana users. The four subtypes were replicated in both subsamples and examination of the external validity using ANOVA to determine cluster differences on psychosocial and behavioral variables confirmed the theoretical relevance of different patterns of alcohol and marijuana use. There were significantly different psychosocial negative consequences and related risky behaviors among subtypes. We found that Daily Alcohol and Daily Marijuana users are at the highest risk to experience more negative consequences and engage in a broader spectrum of risky behaviors related to both substances, than the other three types of alcohol and marijuana users.

Use of and interest in smoking cessation strategies among daily and nondaily college student smokers

OBJECTIVE

To examine use of and interest in cessation strategies among nondaily and daily college student smokers.

PARTICIPANTS

800 undergraduate student smokers aged 18 to 25.

METHODS

The authors examined nondaily versus daily smoking in relation to use of and interest in cessation strategies using an online survey.

RESULTS

Nondaily (65.8%) versus daily smokers (34.3%) were more likely to have made a quit attempt (p = .01) but less likely to have used any assistance (p < .001). Nondaily smokers were less interested in pharmacotherapy and traditional behavioral interventions; however, there was no difference in interest in technology-based interventions among nondaily versus daily smokers. Controlling for covariates, there were no significant differences in interest in traditional or technology-based behavioral interventions. Higher motivation, lower confidence, and depressive symptomatology were related to interest in each intervention. Smoking for social reasons was related to interest in technology-based interventions.

CONCLUSIONS

Different intervention strategies may be appropriate for nondaily and daily smokers.

College student reactions to health warning labels: sociodemographic and psychosocial factors related to perceived effectiveness of different approaches

OBJECTIVE

To examine factors associated with perceiving different types of pictorial cigarette health warning labels as most effective in motivating smokers to quit or preventing smoking initiation among college students.

METHOD

We administered an online survey to 24,055 students attending six Southeast colleges in Fall, 2010. We obtained complete data for the current analyses from 2600.

RESULTS

Current smoking prevalence was 23.5%. The largest majority (78.6%) consistently rated gruesome images as most effective, 19.5% rated testimonial images as most effective, and only a small proportion rated either standard (1.6%) or human suffering images (0.3%) as most effective. Subsequent analyses focused on differences between those endorsing gruesome images or testimonials as most effective. Factors related to ranking testimonials versus gruesome images as most effective included being female (p<0.01), White (p<0.01), and nonsmokers (p=0.04), lower perceived smoking prevalence (p<0.01), and greater receptivity to laws/restrictions around smoking (p<0.01) and tobacco marketing (p=0.01). Among smokers, factors related to ranking testimonials as most effective versus gruesome images included being female (p=0.03), being White (p=0.03), higher autonomous motivation (p=0.03), and greater extrinsic self-efficacy (p=0.02).

CONCLUSIONS

Understanding factors related to perceived effectiveness of different pictorial warnings among subpopulations should inform health warning labels released by the FDA.

Cluster analysis identifies subpopulations for health promotion campaign design

While health communication campaigns have been effective in addressing a variety of health concerns, even broadly successful campaigns can miss particular subpopulations. The statistical technique of cluster analysis, which makes it possible to group individuals based on sets of identifying variables, is a statistical method that could prove useful in the design of more effective communication campaigns. This paper illustrates the use of cluster analysis to group women based on their (1) prepregnancy weight, (2) weight gain during pregnancy, and (3) weight retention after giving birth as it relates to the process of targeting subpopulations and developing more effective health communication campaigns and interventions. The implications of cluster analysis, from guiding additional formative research to development of health communication strategies, are discussed.

Knowledge of viral hepatitis among Puerto Rican adults: implications for prevention

Although primary prevention of HAV and HBV can be achieved through vaccination, the burden of HCV can only be reduced through behavioral interventions to reduce its risk factors. This study evaluated knowledge regarding transmission, clinical manifestations and prevention of viral hepatitis in Puerto Rico. We assessed the level of knowledge about HAV (six questions), HBV (12 questions) and HCV (eight questions) among non-institutionalized Puerto Rican adults aged 21-64 years. Demographic characteristics and self-reported knowledge of these infections were determined through a face-to-face interview. A mean knowledge score was computed by summing correct responses to each scale. Mean knowledge scores according to demographics were compared using ANOVA or the Kruskal-Wallis test. Mean knowledge scores for HAV, HBV and HCV infections were 2.6 ± 1.5, 6.1 ± 2.4, and 3.6 ± 1.1, respectively. For HAV and HBV infections, the mean knowledge score significantly (P < 0.05) increased with age, level of counseling received and number of sources of information. However, for HCV infection the mean knowledge score significantly increased with decreasing age, increased educational level and increased annual family income. Contrary to HBV, a higher HAV and HCV knowledge score was observed among individuals with history of vaccination for HAV and HBV, seropositive status for HAV and HCV, and history of drug use. A sizeable proportion of adults in this study demonstrated an inadequate level of knowledge, especially about transmission routes. Health education must be focused on transmission and prevention methods, including the availability of a vaccine for HAV and HBV, especially among those with chronic liver disease.