Self-reported healthcare provider utilization across United States Midwestern households.

Understanding the relationships between health care provider usage and demographics of patients is necessary for the development of educational materials, outreach information, and programs targeting individuals who may benefit from services. This analysis identified relationships between health care provider usage and individual's demographics. A sample of Midwestern U.S. respondents (n = 1265) was obtained through the use of an online survey distributed February 12-26, 2016 and was targeted to be representative of the population of the Midwestern states sampled in terms of sex, age, income, and state of residence. Specific factors identified as significant in contributing to provider usage (in the past five years) differed across the eleven provider types studied. In the most commonly used practitioners (the general or primary physician), relationships between provider usage and age, income, health insurance coverage status, and having children in the household were identified. Furthermore, significant (and positive) correlations were identified between the usage of various practitioners; reporting the use of one type of practitioner studied was correlated positively with reporting the use of another type of health care provider studied in this analysis. This analysis provides insight into the relationships between health care provider usage and demographics of individuals, which can aid in the development of educational materials, outreach programs, and policy development.

When is genetic modification socially acceptable? When used to advance human health through avenues other than food.

Given the potential for genetic modification (GM) to impact human health, via food and health mechanisms, a greater understanding of the social acceptance of GM is necessary to facilitate improved health outcomes. This analysis sought to quantify U.S. residents' acceptance of GM across five potential uses (grain production, fruit or vegetable production, livestock production, human medicine, and human health, i.e. disease vector control) and provides an in-depth analysis of a timely case study-the Zika virus (ZIKV). The two categories with the highest levels of acceptance for GM use were human medicine (62% acceptance) and human health (68% acceptance); the proportions agreeing with the use of GM for these two categories were statistically different from all other categories. Acceptance of GM in food uses revealed 44% of the sample accepted the use of GM in livestock production while grain production and fruit and vegetable production showed similar levels of agreement with 49% and 48% of responses, respectively. Two variables were significant in all five models predicting GM acceptance; namely, being male and GM awareness. Being male was significant and positive for all models; respondents who reported being male were more likely (than those who reported female) to agree with all five of the uses of GM studied. Those who were reportedly aware of GM mosquito technology were also more likely to agree with all uses of GM technology investigated. The potential relationship between awareness of GM technology uses and acceptance of other uses could help inform rates of acceptance of new technologies by various population segments.

The influence of health concern on travel plans with focus on the Zika virus in 2016.

Tourists consider many factors, including health, when choosing travel destinations. The potential for exposure to novel or foreign diseases alone can deter travelers from selecting high-risk locations for disease transmission. The 2015-2016 Zika Virus (ZIKV) outbreak in the Americas and Caribbean prompted the World Health Organization (WHO) to declare a Public Health Emergency of International Concern. This study investigated factors that may contribute to travel avoidance to areas experiencing ZIKV transmission while also considering different levels of health concern and awareness among groups with varying demographics. An online survey was administered February 10-12, 2016 to a sample of U.S. residents (n = 964). Demographics, information about travel behaviors, and levels of health concern were collected. Ordered logit models were employed to assess the impacts of the ZIKV outbreak on travel planning. Respondents giving higher levels of attention to general health were more likely to avoid travel to areas experiencing ZIKV transmission. It is anticipated that the findings of this study may be of interest to public health officials, healthcare providers, and government officials attempting to mitigate impacts of ZIKV. Disease outbreaks in regions of the world typically frequented by vacation or leisure travelers are particularly problematic due to the increased amount of exposure to disease in an immunologically naïve population that may then contribute to the outbreak through their travel plans. Avoiding travel to destinations experiencing outbreaks of disease due to health concerns may be interpreted positively by the public health community but can have negative economic consequences.

Social desirability bias in reporting of holiday season healthfulness.

Respondents participating in survey or interview based research often tend to give answers that put themselves in a favorable light, displaying social desirability bias (SDB). Understanding the susceptibility of individuals to underreport their perceived unhealthy holiday behaviors or over report holiday behaviors they perceive as healthy has important implications for health promotion and health policy surrounding the holiday season. This study examines SDB specific to the reporting of holiday food consumption and health-related behaviors. An online survey of 620 U.S. consumers was utilized to collect data in which SDB was accounted for via indirect questioning. The online survey was conducted by Purdue University from November 17-19, 2014. Up to 64% of respondents displayed SDB for the eight holiday health statements studied. Respondents over the age of 45 and without children more frequently displayed social desirability bias. Respondents who displayed SDB with respect to acceptable health related holiday food consumption behaviors may be more susceptible to social pressures surrounding other consumption decision making. Understanding SDB in health and behavior reporting, in particular for the traditionally challenging, in terms of health outcomes, holiday season is critical for health practitioners as they seek to promote healthy behaviors.