The Effects of Animals on Human Health and Well-Being

Substantial sums of money are invested annually in preventative medicine and therapeutic treatment for people with a wide range of physical and psychological health problems, sometimes to no avail. There is now mounting evidence to suggest that companion animals, such as dogs and cats, can enhance the health of their human owners and may thus contribute significantly to the health expenditure of our country. This paper explores the evidence that pets can contribute to human health and well-being. The article initially concentrates on the value of animals for short- and long-term physical health, before exploring the relationship between animals and psychological health, focusing on the ability of dogs, cats, and other species to aid the disabled and serve as a "therapist" to those in institutional settings. The paper also discusses the evidence for the ability of dogs to facilitate the diagnosis and treatment of specific chronic diseases, notably cancer, epilepsy, and diabetes. Mechanisms underlying the ability of animals to promote human health are discussed within a theoretical framework. Whereas the evidence for a direct causal association between human well-being and companion animals is not conclusive, the literature reviewed is largely supportive of the widely held, and long-standing, belief that "pets are good for us."     

Transgender Teachers: The Personal,Pedagogical, and Political

This empirical research study examines the experiences of three male-to-female transgender teachers who transitioned genders, in three different decades (1980s, 1990s, 2000s) while actively teaching within Canadian K–12 public schools. I utilize poststructural storylines to explore how these transgender teachers navigated the personal, pedagogical, and political and the survival and transition strategies they developed to become intelligible within their schools. Their storylines illustrate how they developed counternarratives to challenge traditional discourses of trans invisibility, silence, shame, and fear.     

More Inclusive States,Less Poverty Among Immigrants? An Examination of Poverty,Citizenship Stratification,and State Immigrant Policies

Over the last 20 years, policymaking related to immigrant populations has increasingly been conducted at the state-level. State immigrant polices may influence immigrant poverty by determining immigrants’ level of access to social, economic, political, and health resources and by shaping the social environment. Further, these immigrant policies may shape the stratification between citizens and noncitizens, potentially contributing to distinct patterns of disparities in poverty by both citizenship and race/ethnicity. To assess the relationship between immigrant policy and socioeconomic stratification of immigrants across citizenship status and race/ethnicity in the U.S., we combined data from the 2014 American Community Survey and a measure of level of inclusion of state immigrant policies. We estimated fixed-effects logistic regressions to test the associations between poverty and the interaction of level of inclusiveness, citizenship, and race/ethnicity, controlling for state- and individual-level characteristics. Results showed that there are significant disparities in poverty by citizenship status and race/ethnicity. Asian/Pacific Islander (API) noncitizens experienced lower levels of poverty in states with higher levels of inclusion. Both Latino and API citizens experienced lower levels of poverty in states with higher versus lower levels of inclusion. Among Latinos, the gap in poverty rates between noncitizens and citizens is larger in more inclusive than less inclusive ones, suggesting that the potential positive impact of more inclusive environments does not necessarily translate to the most vulnerable Latino group. The level of inclusion was not associated with differences among Whites and Blacks. Findings suggest that states with more inclusive immigrant policies may foster environments that advance the economic well-being of API noncitizens, as well as API and Latino citizens.     

The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective

A fundamental characteristic of any innovation is its novelty, the newness or freshness of the innovation in the eyes of the adopter. Past research has often considered novelty to be inherent to an information technology (IT) innovation, yet it is also likely that perceptions of novelty differ widely across individuals. Nevertheless, the role that the novelty of an IT innovation plays in adoption is not well understood. The primary goal of this research effort is to frame the perceived novelty of an IT innovation as a salient affective belief in the nomological network related to adoption. Further, we examine how perceived novelty influences the way individuals reconcile their perceptions of risk versus reward when considering the adoption of an IT innovation. Two empirical studies with 424 and 138 participants, respectively, examine the effect of perceived novelty on IT innovations from a risk/reward perspective. Results indicate that perceived novelty is a salient affective belief that plays a significant role in the adoption of IT innovations. Implications for both theory and organizational decision making are examined.     

Structured expert elicitation about Listeria monocytogenes cross-contamination in the environment of retail deli operations in the United States

Listeria monocytogenes is among the foodborne pathogens with the highest death toll in the United States. Ready‐to‐eat foods contaminated at retail are an important source of infection. Environmental sites in retail deli operations can be contaminated. However, commonly contaminated sites are unlikely to come into direct contact with food and the public health relevance of environmental contamination has remained unclear. To identify environmental sites that may pose a considerable cross‐contamination risk, to elucidate potential transmission pathways, and to identify knowledge gaps, we performed a structured expert elicitation of 41 experts from state regulatory agencies and the food retail industry with practical experience in retail deli operations. Following the “Delphi” method, the elicitation was performed in three consecutive steps: questionnaire, review and discussion of results, second questionnaire. Hands and gloves were identified as important potential contamination sources. However, bacterial transfers to and from hands or gloves represented a major data gap. Experts agreed about transfer probabilities from cutting boards, scales, deli cases, and deli preparation sinks to product, and about transfer probabilities from floor drains, walk‐in cooler floors, and knife racks to food contact surfaces. Comparison of experts' opinions to observational data revealed a tendency among experts with certain demographic characteristics and professional opinions to overestimate prevalence. Experts’ votes clearly clustered into separate groups not defined by place of employment, even though industry experts may have been somewhat overrepresented in one cluster. Overall, our study demonstrates the value and caveats of expert elicitation to identify data gaps and prioritize research efforts.     

Exploring the role of the internet in juvenile prostitution cases coming to the attention of law enforcement

This exploratory analysis examines the role of the Internet in juvenile prostitution cases coming to the attention of law enforcement. The National Juvenile Prostitution Study (N-JPS) collected information from a national sample of law enforcement agencies about the characteristics of juvenile prostitution cases. In comparison to non-Internet juvenile prostitution cases, Internet juvenile prostitution cases involved younger juveniles and police were more likely to treat juveniles as victims rather than offenders. In addition, these cases were significantly more likely to involve a family or acquaintance exploiter. This analysis suggests that the role of the Internet may impact legal and social service response to juveniles involved in prostitution. In addition, it highlights the need for interventions that acknowledge the vulnerabilities of youth involved in this type of commercial sexual exploitation.     

Inverse prediction for heteroscedastic response using mixed models software

Distributions of a response y (height, for example) differ with values of a factor t (such as age). Given a response y_* for a subject of unknown t_*, the objective of inverse prediction is to infer the value of t_* and to provide a defensible confidence set for it. Training data provide values of y observed on subjects at known values of t. Models relating the mean and variance of y to t can be formulated as mixed (fixed and random) models in terms of sets of functions of t, such as polynomial spline functions. A confidence set on t_* can then be had as those hypothetical values of t for which y_* is not detected as an outlier when compared to the model fit to the training data. With nonconstant variance, the p-values for these tests are approximate. This article describes how versatile models for this problem can be formulated in such a way that the computations can be accomplished with widely available software for mixed models, such as SAS PROC MIXED. Coverage probabilities of confidence sets on t_* are illustrated in an example.     

Women's Voices: Explaining Poverty and Plenty in a Rural Community*

Abstract This paper explores how a multiclass sample of white rural women in an economically depressed, overwhelmingly nonfarm community explain both their own families' economic circumstances and those of the most disadvantaged families in their community. All women in the sample—even those with a history of economic instability and welfare receipt—articulate an ethic of family self‐sufficiency. They uniformly believe that anyone who can work should work, although they vary in their definition of who “can work.” In general, the lower the social class, the greater the understanding of the social processes that precipitate and perpetuate poverty. Both working‐class and poor women clearly recognize the limitations of the local market for labor. Sample women are ambivalent about welfare receipt and welfare reform. Although they believe that families should be self‐supporting, many recognize the necessity of welfare for the survival of some families in the community.     

Condoms and Contexts: Profiles of Sexual Risk and Safety Among Young Heterosexually Active Men

Heterosexual men's sexual safety behavior is important to controlling the U.S. epidemic of sexually transmitted infections (STIs), including human immunodeficiency virus (HIV). While sexual safety is often treated as a single behavior, such as condom use, it can also be conceptualized as resulting from multiple factors. Doing so can help us achieve more nuanced understandings of sexual risk and safety within partner-related contexts. We used latent class analysis with data collected online from 18- to 25-year-old heterosexually active U.S. men (n = 432) to empirically derive a typology of the patterns of sexual safety strategies they employed. Indicators were sexual risk-reduction strategies used in the past year with the most recent female sex partner: condom use, discussing sexual histories, STI testing, agreeing to be monogamous, and discussing birth control. We identified four subgroups: Risk Takers (12%), Condom Reliers (25%), Multistrategists (28%), and Relationship Reliers (35%). Partner-related context factors—number of past-year sex partners, relationship commitment, and sexual concurrency—predicted subgroup membership. Findings support tailoring STI prevention to men's sexual risk-safety subgroups. Interventions should certainly continue to encourage condom use but should also include information on how partner-related context factors and alternate sexual safety strategies can help men reduce risk for themselves and their partners.