PhenX: Agent measures for tobacco regulatory research.

The current paper describes the PhenX (Phenotypes and eXposures) Toolkit Tobacco Regulatory Research Agent specialty area and the Agent Working Group's (WG's) 6-month consensus process to identify high-priority, scientifically supported measures for cross-study comparison and analysis. Eleven measures were selected for inclusion in the Toolkit. Eight of these are interviewer-administered or self-administered protocols: history of switching to lower tar and nicotine cigarettes, passive exposures to tobacco products, tobacco brand and variety (covering cigars, cigarettes and smokeless tobacco separately), tobacco product adulteration (vent-blocking or filter-blocking) and tobacco warning label exposure and recall. The remaining three protocols are either laboratory-based or visual inspection-based: measurement of nicotine content in smoked or smokeless tobacco products and the physical properties of these two classes of products. Supplemental protocols include a biomarker of exposure and smoking topography. The WG identified the lack of standard measurement protocols to assess subjective ratings of tobacco product flavours and their appeal to consumers as a major gap. As the characteristics of tobacco products that influence perception and use are tobacco regulatory research priorities, the reliable assessment of flavours remains an area requiring further development.

PhenX: Environment measures for Tobacco Regulatory Research.

OBJECTIVE: A Working Group (WG) of tobacco regulatory science experts identified measures for the tobacco environment domain. METHODS: This article describes the methods by which measures were identified, selected, approved and placed in the PhenX Toolkit. FINDINGS: The WG identified 20 initial elements relevant to tobacco regulatory science and determined whether they were already in the PhenX Toolkit or whether novel or improved measures existed. In addition to the 10 complementary measures already in the Toolkit, the WG recommended 13 additional measures: aided and confirmed awareness of televised antitobacco advertising, interpersonal communication about tobacco advertising, media use, perceived effectiveness of antitobacco advertising, exposure to smoking on television and in the movies, social norms about tobacco (for adults and for youth), worksite policies, youth cigarette purchase behaviours and experiences, compliance with cigarette packaging and labelling policies, local and state tobacco control public policies, and neighbourhood-level racial/ethnic composition. Supplemental measures included youth social capital and compliance with smoke-free air laws and with point of sale and internet tobacco marketing restrictions. Gaps were identified in the areas of policy environment (public and private), communications environment, community environment and social environment (ie, the norms/acceptability of tobacco use). CONCLUSIONS: Consistent use of these tobacco environment measures will enhance rigor and reproducability of tobacco research.

PhenX: Vector measures for tobacco regulatory research.

The PhenX (Phenotypes and eXposures) Toolkit provides researchers with recommended standard consensus measures for use in epidemiological, biomedical, clinical and translational studies. To expand the depth and breadth of measures in the PhenX Toolkit, the National Institutes of Health and U.S. Food and Drug Administration have launched a project to identify 'Core' and 'Specialty' collections of measures recommended for human subjects studies in tobacco regulatory research (TRR). The current paper addresses the PhenX Toolkit TRR Vector specialty area and describes the 6-month process to identify high-priority, low-burden, scientifically supported consensus measures. Self-reported, interviewer-administered and observational measurements were considered, and input from the research community assisted in justifying the inclusion of 13 tobacco industry-relevant measures (mainly interviewer-administered or self-reported measures) in the PhenX Toolkit. Compared with measures of addiction or the use of tobacco products, assessments of many Vector factors are much newer and at an earlier stage of development. More work is needed to refine and validate measures of the spatial distribution of tobacco retailers, retail environment, price promotions and corporate social responsibility.

The PhenX Toolkit: get the most from your measures.

The potential for genome-wide association studies to relate phenotypes to specific genetic variation is greatly increased when data can be combined or compared across multiple studies. To facilitate replication and validation across studies, RTI International (Research Triangle Park, North Carolina) and the National Human Genome Research Institute (Bethesda, Maryland) are collaborating on the consensus measures for Phenotypes and eXposures (PhenX) project. The goal of PhenX is to identify 15 high-priority, well-established, and broadly applicable measures for each of 21 research domains. PhenX measures are selected by working groups of domain experts using a consensus process that includes input from the scientific community. The selected measures are then made freely available to the scientific community via the PhenX Toolkit. Thus, the PhenX Toolkit provides the research community with a core set of high-quality, well-established, low-burden measures intended for use in large-scale genomic studies. PhenX measures will have the most impact when included at the experimental design stage. The PhenX Toolkit also includes links to standards and resources in an effort to facilitate data harmonization to legacy data. Broad acceptance and use of PhenX measures will promote cross-study comparisons to increase statistical power for identifying and replicating variants associated with complex diseases and with gene-gene and gene-environment interactions.

Data compatibility in the addiction sciences: an examination of measure commonality.

The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit.