This paper develops the concept of implicit trait policy (ITP), which is a variant of the accentuation effect described by Tajfel (1957). ITPs are implicit beliefs about causal relations between personality traits and behavioral effectiveness. Studies reported here tested the hypotheses (a) that personality traits affect ITPs so that agreeable people, for instance, believe the relation between agreeableness and effectiveness is more strongly positive than disagreeable people do and (b) that ITPs can predict behavior that expresses associated personality traits. Two studies with undergraduate research participants supported the first hypothesis for traits of agreeableness and extraversion (the average correlation between traits and associated ITPs was .31 for agreeableness and .37 for extraversion) but not for conscientiousness. A 3rd study with student participants found that individual differences in ITPs for agreeableness predicted agreeable behavior (the average correlation was .33) in simulated work settings. These results suggest that ITPs may be useful for predicting work behavior that expresses personality traits even though ITPs may not be strongly correlated with the personality traits themselves.

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Estimates from the 2019 American Community Survey (ACS) indicated that 15.2% of adults aged ≥18 years had at least one reported functional disability (1). Persons with disabilities are more likely than are those without disabilities to have chronic health conditions (2) and also face barriers to accessing health care (3). These and other health and social inequities have placed persons with disabilities at increased risk for COVID-19-related illness and death, yet they face unique barriers to receipt of vaccination (4,5). Although CDC encourages that considerations be made when expanding vaccine access to persons with disabilities,* few public health surveillance systems measure disability status. To describe COVID-19 vaccination status and intent, as well as perceived vaccine access among adults by disability status, data from the National Immunization Survey Adult COVID Module (NIS-ACM) were analyzed. Adults with a disability were less likely than were those without a disability to report having received ≥1 dose of COVID-19 vaccine (age-adjusted prevalence ratio [aPR] = 0.88; 95% confidence interval [CI] = 0.84-0.93) but more likely to report they would definitely get vaccinated (aPR = 1.86; 95% CI = 1.43-2.42). Among unvaccinated adults, those with a disability were more likely to report higher endorsement of vaccine as protection (aPR = 1.29; 95% CI = 1.16-1.44), yet more likely to report it would be or was difficult to get vaccinated than did adults without a disability (aPR = 2.69; 95% CI = 2.16-3.34). Reducing barriers to vaccine scheduling and making vaccination sites more accessible might improve vaccination rates among persons with disabilities.Data from noninstitutionalized adults aged ≥18 years were collected in the NIS-ACM by telephone interview during May 30-June 26, 2021 using a random-digit-dialed sample of cellular telephone numbers, stratified by locality. † Although the current U.S. Department of Health and Human Services (HHS) minimum standard for measuring disability in surveys * COVID-19 Vaccine Recommendations and Guidelines of the Advisory Committee on Immunization Practices, CDC. https://www.cdc.gov/vaccines/ hcp/acip-recs/vacc-specific/covid-19.html † The NIS-ACM cellular telephone sample was stratified by state, the District of Columbia, five local jurisdictions

IntroductionIn 2014 the US Food and Drug Administration proposed a series of changes to its 1992 guidelines on nutrition facts labeling to help consumers make informed food choices. To date, few studies have examined the association between consumers’ use of the nutrition label and health. The objective of this study was to assess the association between nutrition label use and health and to determine whether the association differs by sex.MethodsUsing data from a population-based, random sample survey of 1,503 participants conducted in Nebraska in 2013, we performed χ2 tests to examine bivariate associations between selected health variables and nutrition label use, followed by logistic regression analysis to estimate these associations in a multivariate framework.ResultsA U-shaped relationship between self-rated health (SRH) and nutrition label use was observed. Both excellent and poor SRH were associated with a higher likelihood of nutrition label use than the 3 SRH categories in between. Being obese or having 1 of 4 chronic conditions (hypertension, diabetes, heart disease, high cholesterol) were both associated with higher odds of nutrition label use (odds ratio [OR] = 2.63, P < .001; OR = 1.71, P < .05, respectively) among men. These associations, however, were not significant among women.ConclusionA close association existed between health and nutritional label use. This association was more pronounced among men than among women. Nutrition education may benefit from factoring in the association between health and use of nutrition labels and the differences in these associations by sex.

The National Immunization Survey Adult COVID Module used a random-digit-dialed phone survey during April 22, 2021–January 29, 2022 to quantify COVID-19 vaccination, intent, attitudes, and barriers by detailed race/ethnicity, interview language, and nativity. Foreign-born respondents overall and within racial/ethnic categories had higher vaccination coverage (80.9%), higher intent to be vaccinated (4.2%), and lower hesitancy towards COVID-19 vaccination (6.0%) than US-born respondents (72.6%, 2.9%, and 15.8%, respectively). Vaccination coverage was significantly lower for certain subcategories of national origin or heritage (e.g., Jamaican (68.6%), Haitian (60.7%), Somali (49.0%) in weighted estimates). Respondents interviewed in Spanish had lower vaccination coverage than interviewees in English but higher intent to be vaccinated and lower reluctance. Collection and analysis of nativity, detailed race/ethnicity and language information allow identification of disparities among racial/ethnic subgroups. Vaccination programs could use such information to implement culturally and linguistically appropriate focused interventions among communities with lower vaccination coverage.