Paul Spicer

Objective This study examined the association of e-cigarette use status and history of depression among American Indian (AI) adults who smoke. Method We conducted a secondary data analysis using survey data from 375 AI adult smokers collected in 2016 at a tribally operated healthcare facility in northeast Oklahoma. Multivariable logistic regression was used to estimate the association between e-cigarette use and self-reported history of depression while adjusting for potential confounders. Results In the adjusted analyses, compared to never users, current and former e-cigarette users had higher estimated odds of depression history (adj. OR 2.66; 95% CI 1.25–5.72 and adj. OR 2.38; 95% CI 1.36–4.26, respectively). Additional factors independently associated with a history of depression included having strong cravings to smoke (adj. OR 2.28; 95% CI 1.13–4.88) and having a history of chronic disease (adj. OR 2.09; 95% CI 1.20–3.70) after controlling for confounding variables. Conclusions E-cigarette use among AI adult smokers was independently associated with a history of depression. Whether e-cigarette use among people who smoke results from depression or whether depression results from the combined use of e-cigarettes and cigarettes requires future research using a prospective cohort design.

The cognitive interview process is a method to validate a survey instrument’s face validity and enhance confidence in item interpretation, as well as a method to engage communities in the research process. Trained American Indian and Alaska Native (AIAN) interviewers conducted retrospective cognitive interviews at three AIAN communities to assess the item quality of a 131-item survey item that measures AIAN knowledge and attitudes on genetics and biological specimens. A cognitive interview process was used to assess cultural consonance, thought processes used when considering survey instructions, items and responses, and language preference of survey items in the development of a survey to assess public knowledge and attitudes on genetics. Content analysis was used to analyze interview data. Survey instructions, items and scales generated no cognitive difficulties. The participants noted being unfamiliar with terminology used to describe genetic and biological specimens. In several cases, the participants’ written response in the survey and verbal response in the interview did not align. A resultant 52-item survey for use in AIAN communities was finalized. Cognitive interviewing is resource-intensive; however, ignoring community engagement during survey development results in inappropriate interpretations about culturally diverse populations such as AIAN peoples.

Persistent, unresolved issues stemming from a legacy of scientific exploitation and bio-colonialism have kept many tribal nations from participating in genomic research. The Center for the Ethics of Indigenous Genomic Research (CEIGR) aims to model meaningful community engagement that moves toward more inclusive and equitable research practices related to genomics. This article reflects on key successes and challenges behind CEIGR’s efforts to shape Ethical, Legal and Social Implications (ELSI) research in ways that are informed by Indigenous perspectives, to locate community partnerships at the center of genomics research, and to conduct normative and empirical research with Indigenous communities that is grounded in the concepts of reciprocity, transparency and cultural competency. The structure of CEIGR represents an important shift away from a traditional model centered on a university-based principal investigators toward a partner-centered research approach that emphasizes equity and community control by distributing power and decision-making across all CEIGR partner sites. We discuss three features of CEIGR that have contributed to this shift towards an equitable, community-driven partnership: 1) balancing local priorities with collective goals; 2) distributing power in ways that promote equitable partnerships; and 3) capacity building and co-learning across partner sites. The discussion of these three areas in this article speaks to a particular strength of our Center: the interdependence among partners and collective willingness to maintain a plasticity of leadership that creates space for all of our partners to lead, support, exchange and strengthen ELSI research.

The American Cancer Society discourages the dual use of electronic cigarettes (ECs) and cigarettes because such use has not resulted in reduced exposures to the harmful effects of smoking. American Indian (AI) people have the highest prevalence of smoking and of EC use in the United States, but very little is known about dual EC and cigarette use in AI communities. In 2016, 375 adult AI in Oklahoma who smoked cigarettes completed a survey about EC use (vaping). We describe vaping patterns, nicotine dependence, and reasons for EC use among the subset of 44 (12%) current dual EC users. To differentiate habitual EC users from occasional or merely curious users, we defined dual use as using ECs on some days or every day in the past 30 days. About one-third of dual users vaped ten or more times daily. About two-thirds used a tank product. Eleven percent used ECs without nicotine and another 9% were unsure of the nicotine content. A minority (40%) enjoyed vaping more than smoking, and most (76%) would smoke first on days they did both. Thirty-one percent vaped within 5 min of waking and another 24% within 30 min. Although the two-item heaviness of use index did not differ significantly between smoking and vaping, the ten-item Penn State Dependence Index (PSDI) suggested greater dependence on smoking than vaping (11.02 vs. 6.42, respectively; p < .0001). The most common reasons for vaping were to reduce smoking (79%), enjoyment of flavors (78%), and ability to vape where smoking is not allowed (73%). Perceptions of less harm to others (69%) or to self were the next most common (65%). Fewer than half used ECs to reduce stress, for affordability, or because others used them. Nearly 20% of dual users used ECs either without nicotine or without knowing if the product contained nicotine. The PSDI indicated greater dependence on smoking than vaping. Reasons for vaping were nearly equal between smoking reduction and enjoying flavors. Understanding patterns of dual use will inform future efforts to address nicotine dependence for AI communities with high prevalence of smoking.

A scoping review was conducted to assess the state of the literature on health-related participatory research involving American Indian and Alaska Native communities. Online databases were searched for relevant articles published between 1/1/2000 and 5/31/2017. 10,000+ data points relevant to community-level engagement in and regulation of research, community research capacity and cultural adaptation were extracted from 178 articles. Community engagement varied across study components: 136 (76%) articles reported community participation in research-related meetings and other events and 49 (27%) articles reported community involvement in initiation of research. 156 (88%) articles reported use of community-level tools to guide or regulate research. 93 (52%) articles reported that community members received research-related training. 147 (82%) articles described some type of cultural adaptation. Across all articles, data points on community engagement were not reported in 3061 (40%) out of 7740 cases. Findings suggest a need for increased community engagement in early stages of the research process and for reporting guidelines for participatory research involving American Indian and Alaska Native communities. There is also need to further existing research on the impact of different components of participatory research on process and outcome measures and to develop funding mechanisms that account for the time and resource intensive nature of participatory research.

Interest in electronic cigarette (EC) use, or vaping, to help control weight is increasing. Many American Indian (AI) populations have a high prevalence of smoking, obesity, and EC use, but their perceptions of EC use for weight control are unknown. In Oklahoma in 2016, 375 AI adults who smoke completed a survey including perceptions about smoking and EC effects on weight control. Only 24% believed that smoking helps control weight, and 8% believed that vaping helps control weight. Perceptions differed by EC use, with ever users more often than never users perceiving that smoking (30% vs 12%, respectively; p < .01) and vaping (10% vs 5%; p = .04) help to control weight. Sex, age group (18–44 years vs 45 + years), education (high school graduate/equivalent vs less than high school), smoking cessation attempt in past year, and likelihood to quit in 6 months were not associated with weight control perceptions for either smoking or vaping. Uncertainty regarding EC effects on weight control was less common among EC ever users compared to never users (41% vs 53%, respectively; p = .04). Most people who did not believe or were uncertain that smoking controls weight also did not believe or were uncertain that vaping controls weight. However, only a minority (29%) of people who believed smoking controls weight also believed that vaping controls weight. Among adult AI who smoke, both smoking and vaping were infrequently perceived as helping to control weight, but such perceptions were reported more frequently among those who ever used ECs.

A remarkable feature of US federal investments in human genetics has been the availability of parallel funding for studies examining ethical, legal and social implications (ELSI). This funding has allowed ELSI researchers to develop new strategies to understand genetics, evaluate the benefits of genetic testing, and propose health policy that maximize the promise while minimizing harms. Despite successes, a consequence of this investment is the preoccupation with what is arguably the least actionable system of biomolecules, human DNA. In contrast, the most actionable system of biomolecules, the metabolome, is grossly understudied, despite its often more alarming ELSI.

Experiences with unethical research practices have caused some American Indian and Alaska Native (AIAN) individuals, organizations, and tribes to mistrust health research. To build trust and repair relationships, current research with AIAN peoples often involves participatory research (PR) approaches. This article assesses community-level protections described in the scientific literature on PR involving AIAN communities. A scoping review search in PubMed and PsychInfo for articles published between January 2000 and June 2017 yielded an AIAN PR article dataset. Of 178 articles, a subset of 23 articles that described aspects of community protections were analyzed for descriptions of community-level protection practices. We identified the presence or absence of a description of four community protection measures in each article: a tribal research department, the development of community-level mechanisms for research regulation if not present, community collaboration throughout the research process, and project employment of a community member. The development of community-level mechanisms for research regulation was described in 39% of the articles. Ninety-one percent of these articles described community collaboration during the research process. Seventeen percent included descriptions of all four community-level protection measures. The extent and consistency to which community-level protections are described is variable; the current literature lacks reporting on community-level protection practices specific to tribal communities.

Introduction: Much of the US adult population does not engage in regular physical activity or meet the recommended guidelines for exercise. Moreover, many rural Americans disproportionately experience lower health status and life expectancy attributed to obesity, poor diet, and lack of physical activity. Evidence supports the role of perceived physical and social-environmental factors as potential influencers of exercise. However, measurement of these influencers, particularly within diverse, rural populations, has been sparse. A substantial number of American Indians live in federally defined rural areas, and many rural American Indians are at elevated risk for being overweight and obese due to physical inactivity. Therefore, this study established the validity and reliability of the Rural Active Living Perceived Environmental Support Scale (RALPESS) within a predominantly rural American Indian sample. Methods: In this cross-sectional pilot study, the 33-item RALPESS was administered to 130 adults, across 19 rural localities within Oklahoma, who were recruited from community events hosted by local partners of the tribal Head Start program. Confirmatory factor analysis was used to examine the hypothesized factor structure of the RALPESS. Results: Confirmatory factor analysis showed an adequate fit between the hypothesized model and the data. Analyses produced an acceptable chi(2) goodness of fit index with two degrees of freedom. The comparative fit index and parsimony goodness of fit index were acceptable. The root mean square error of approximation and its 90% confidence interval were also acceptable. Overall, the RALPESS showed suitable internal consistency for the full measure and its subscales, resulting in Cronbach's alpha between 0.82 and 0.96. Conclusions: This pilot study produced confirmatory evidence that the RALPESS is likely a valid and reliable tool for use with rural American Indian populations. Continued validation of this scale, particularly in international rural communities, will support further investigation into this important public health issue, and may further efforts towards the development and promotion of effective programming to increase exercise engagement.