Dynamic structural equation modeling with floor effects.

Intensive longitudinal data analysis, commonly used in psychological studies, often concerns outcomes that have strong floor effects, that is, a large percentage at its lowest value. Ignoring a strong floor effect, using regular analysis with modeling assumptions suitable for a continuous-normal outcome, is likely to give misleading results. This article suggests that two-part modeling may provide a solution.

Changes in Exposure to Tobacco-Related Harmful and Potentially Harmful Constituents among Adults who Switched Completely from Smoking Cigarettes to Use of the JUUL2 System for Six Days.

Introduction: Adults who switch from smoking cigarettes to use of electronic nicotine delivery systems (ENDS) may reduce their exposure to harmful and potentially harmful constituents (HPHCs). This study assessed changes in exposure to HPHCs, assessed via biomarkers of exposure (BOEs), among adults who switched to a new ENDS product.

Methods: Adults who smoke cigarettes (N = 89) were randomized to: (1) switch completely to using JUUL2 Virginia Tobacco (N = 24) or Polar Menthol (N = 24); (2) continue smoking usual brand (UB) cigarettes (N = 21); or (3) abstain from all tobacco/nicotine products (N = 20) for six days.

Association of Use of Menthol- Versus Tobacco-Flavored ENDS with Switching Completely Away from Cigarettes and Differences by Menthol Cigarette Smoking.

Introduction: Menthol cigarettes and menthol-flavored electronic nicotine delivery systems (ENDS) are a current focus of US regulatory policy considerations. Informed policy requires understanding how ENDS flavor may influence smoking behavior, and whether this association varies by preferred cigarette flavor.

Materials And Methods: The analytic sample included 8,428 US adults who smoked cigarettes (AWS) in the Adult JUUL Switching and Smoking Trajectories Study and used tobacco- or menthol-flavored JUUL products.

Appropriateness of using numeric rating scales to assess risk perceptions for individuals with limited health numeracy.

Objective: Numeric rating scales (NRSs) could be inappropriate for assessing constructs such as risk perception if individuals with limited health numeracy (LHN) have difficulty expressing their perceptions on such scales. This paper compares the psychometric functioning of numerical risk perception ratings for an e-cigarette obtained from LHN individuals, comparing them to those from individuals with adequate health numeracy (AHN).

Methods: In a randomized trial of a risk-related message (not evaluated here), participants (N = 12,557) used NRSs to rate their perception of (1) overall risk of harm (from 0 %-100 % harmful to health), and (2) likelihood (0-100 %) of suffering four tobacco-related diseases from using e-cigarettes; and used a 4-point adjectival scale ('not at all harmful' to 'very harmful') to rate the harm of using e-cigarettes.

The evolution of computational research in a data-centric world.

Computational data-centric research techniques play a prevalent and multi-disciplinary role in life science research. In the past, scientists in wet labs generated the data, and computational researchers focused on creating tools for the analysis of those data. Computational researchers are now becoming more independent and taking leadership roles within biomedical projects, leveraging the increased availability of public data.