Background Slowing the spread of the novel coronavirus (COVID-19) requires behavioral changes such as physical distancing (e.g., staying a 6-foot distance from others, avoiding mass gatherings, reducing houseguests), wearing masks, reducing trips to nonessential business establishments, and increasing hand washing. Like other health behaviors, COVID-19 related behaviors may be related to risk representations. Risk representations are the cognitive responses a person holds about illness risk such as, identity (i.e., label/characteristics of risk), cause (i.e., factors causing condition), timeline (i.e., onset/duration of risk), consequences (i.e., intrapersonal/interpersonal outcomes), behavioral efficacy (i.e., if and how the condition can be controlled/treated), and illness risk coherence (i.e., extent to which representations, behaviors, and beliefs are congruent). The current study applies the Common-Sense Model of Self-Regulation (CSM-SR) to evaluate how risk representations may relate to COVID-19 protective and risk behaviors. Methods Participants include 400 workers from Amazon’s Mechanical Turk aged ≥ 18 years and US residents. Participants completed an online survey measuring risk representations (B-IPQ) and COVID-19 related behaviors, specifically, physical distancing, hand washing, and shopping frequency. Results Risk coherence, consequences, timeline, emotional representation, and behavioral efficacy were related to risk and protective behaviors. Conclusions Risk representations vary in their relationship to COVID-19 risk and protective behaviors. Implications include the importance of coherent, targeted, consistent health communication, and effective health policy in mitigating the spread of COVID-19.
Climate change poses a multifaceted, complex, and existential threat to human health and well-being, but efforts to communicate these threats to the public lag behind what we know how to do in communication research. Effective communication about climate change’s health risks can improve a wide variety of individual and population health-related outcomes by: (1) helping people better make the connection between climate change and health risks and (2) empowering them to act on that newfound knowledge and understanding. The aim of this manuscript is to highlight communication methods that have received empirical support for improving knowledge uptake and/or driving higher-quality decision making and healthier behaviors and to recommend how to apply them at the intersection of climate change and health. This expert consensus about effective communication methods can be used by healthcare professionals, decision makers, governments, the general public, and other stakeholders including sectors outside of health. In particular, we argue for the use of 11 theory-based, evidence-supported communication strategies and practices. These methods range from leveraging social networks to making careful choices about the use of language, narratives, emotions, visual images, and statistics. Message testing with appropriate groups is also key. When implemented properly, these approaches are likely to improve the outcomes of climate change and health communication efforts.
Purpose Despite having lower socioeconomic status, Latinos in the US experience fewer adverse health outcomes than non-Latinos. However, they are disproportionately affected by diet-related diseases. Among other racial/ethnic groups, high acculturation and low socioeconomic status are associated with worse dietary intake, yet, few studies have investigated these relationships among Latinos. Design 2013–2014 NHANES analyzed to examine pathways through which acculturation, income, nativity, and food security are associated with dietary behaviors. Setting U.S. population-based survey. Sample Survey respondents >18 years old and identified as Latino/Hispanic (N = 1197; 53.88% female; Mage = 44.61). Measures Primary language spoken (acculturation), total household income (income), place of birth (nativity), Food security, and the Flexible Consumer Behavior Survey (dietary behavior). Analysis Univariate and multivariate regressions in STATA. Covariates include length of time in the US, ethnicity/Hispanic origin (i.e., “Mexican American” or “Other Hispanic”), and gender. Results Nativity ( β = −1.16; SE = .19; P < .001) and income ( β = .39; SE = .07; P < .001) were significant predictors of dietary behavior. Foreign-born Latinos and those with lower income consumed significantly lower numbers of fast-food or pizza. Food security was not a significant predictor of dietary behavior ( β = .16; SE = .1; P > .05). Conclusions Results suggest that income is not a protective factor against unhealthy dietary behavior and a renewed importance of nativity as a predictor of health behavior among Latinos.
Marijuana use among pregnant and breastfeeding women is on the rise and carries risks for infant health and well-being. Decisions to use marijuana while pregnant and breastfeeding are motivated by beliefs that use poses minimal risk to infants and offers benefits to maternal users. Misperceptions and usage trend higher among disadvantaged populations. This study surveyed 401 community residents on beliefs about risks and benefits of marijuana use by pregnant and breastfeeding women. The study utilized techniques to enhance recruitment of Latino and disadvantaged residents of rural communities in California, a state where recreational marijuana use is legal. Analyses revealed substantial endorsement of beliefs about benefits and low risks of marijuana use while pregnant and breastfeeding, many of which run counter to current evidence. Misperceptions were particularly prevalent for cannabis users and male respondents. Trends in valid beliefs, while modest, were higher for Latinos and parents.
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