Translating Health Psychology into Effective Health Communication

Maibach, Edward; Maxfield, Andrew; Ladin, Kelly; Slater, Michael D.

doi:10.1177/135910539600100302

Cited by 140 publications

(63 citation statements)

References 23 publications

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“…Details on the study design and methods are described elsewhere. 9 According to the US Census In 1999, the Lifestyle survey was mailed to 5420 participants, and 67% of these participants completed the survey. Respondents to the Lifestyle survey were then invited to participate in the Healthstyles survey.…”

Section: Methodsmentioning

confidence: 99%

Regional Variation in Public Opinion About Breastfeeding in the United States

Hannan

Benton-Davis

et al. 2005

J Hum Lact

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Because social and cultural norms are associated with women's breastfeeding behaviors, it is important to understand public opinions toward breastfeeding in the United States. Using data from the Healthstyles survey, the authors examined regional variations in (1) public knowledge about health benefits of breastfeeding, (2) public attitudes toward breastfeeding in public, (3) public support for workplace breastfeeding policies, and (4) public perceptions about breastfeeding duration. Pacific, West South Central, West North Central, and Mountain respondents were the most knowledgeable about the health benefits of breastfeeding. Mountain, New England, and Pacific respondents exhibited the most positive attitudes about breastfeeding in public. Mountain and Pacific respondents showed the strongest support for workplace breastfeeding policies. Pacific, Mountain, and East North Central respondents displayed the most positive perceptions about breastfeeding duration. This study emphasizes the need to learn from the best regions and apply subsequent findings to those regions having less positive public opinions and low breastfeeding rates.

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Section: Methodsmentioning

confidence: 99%

Regional Variation in Public Opinion About Breastfeeding in the United States

Hannan

Benton-Davis

et al. 2005

J Hum Lact

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“…13 Kreuter et al 10 suggest that tailored intervention pieces are designed to reach a specific individual or family, whereas targeted intervention pieces are intended to reach a subpopulation with common facilitators and barriers (eg, female factory workers). Researchers involved in market segmentation add a middle layer to this hierarchy of individuation by segmenting larger populations into specific subgroups (eg, female factory workers with and without children living in the home 14 ).…”

Section: Theoretical Foundations Of Tailored Communicationmentioning

confidence: 99%

Nutrition Communication for a Latino Community

Ayala¹,

Elder²,

Campbell

et al. 2001

Family & Community Health

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Formative research techniques were used to develop a tailored health communication nutrition intervention for Latinas and their families. Members of the target community were recruited to participate in focus groups, depth interviews, and participant observations. Women, in particular, were observed preparing meals in their homes and purchasing groceries. The objective was to identify variables that could be used for targeting, segmenting, and tailoring the intervention. Results from these efforts were used to develop a theory-based intervention, which is described at the conclusion of the article.

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“…(Berg et al, 2011) and "Out of your five closest friends, how many of them smoke cigarettes?" (Maibach, Maxfield, Ladin, & Slater, 1996) to determine their social experiences with smoking. To assess perceived smoking prevalence, we asked "What percent of students at your school do you think have smoked at least one cigarette in the past 30 days?…”

Section: Social Aspects Of Smokingmentioning

confidence: 99%

The Development and Validation of a Scale Assessing Individual Schemas Used in Classifying a Smoker: Implications for Research and Practice

Berg¹,

Nehl²,

Sterling³

et al. 2011

Nicotine & Tobacco Research

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Introduction: Half of college students who have smoked in the past month do not consider themselves smokers. Understanding one's schema of smokers is important, as it might relate to smoking behavior. Thus, we aimed to develop a scale assessing how young adults classify smokers and establish reliability and validity of the scale. Methods:Of 24,055 students at six Southeast colleges recruited to complete an online survey, 4,840 (20.1%) responded, with complete smoking and scale development data from 3,863.Results: The Classifying a Smoker Scale consisted of 10 items derived from prior research. Factor analysis extracted a single factor accounting for 40.00% of score variance (eigenvalue = 5.52). Higher scores (range 10-70) indicate stricter criteria in classifying a smoker. The scale yielded a Cronbach's alpha of .91. Current smoking (past 30-day) prevalence was 22.8%. Higher Classifying a Smoker Scale scores (p = .001) were significant predictors of current smoking, controlling for sociodemographics. Higher scores were related to being nondaily versus daily smokers (p = .009), readiness to quit in the next month (p = .04), greater perceived smoking prevalence (p = .007), not identifying as smokers (p < .001), less perceived harm of smoking (p < .001), greater concern about smoking health risks (p = .01), and less favorable attitudes toward smoking restrictions (p < .001). Among current smokers, higher scores were related to greater smoking frequency (p = .02), not identifying as smokers (p < .001), and less perceived harm of smoking (p < .001), controlling for sociodemographics. Conclusion:This scale, demonstrating good psychometric properties, highlights potential intervention targets for prevention and cessation, as it relates to smoking, risk perception, and interest in quitting.

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Translating Health Psychology into Effective Health Communication

Cited by 140 publications

References 23 publications

Regional Variation in Public Opinion About Breastfeeding in the United States

Regional Variation in Public Opinion About Breastfeeding in the United States

Nutrition Communication for a Latino Community

The Development and Validation of a Scale Assessing Individual Schemas Used in Classifying a Smoker: Implications for Research and Practice

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