Momentary Craving, Craving Variability, and Cannabis Use: Associations With THC Concentrates and Sex.

Objective: Ecological momentary assessment (EMA) studies are well positioned to assess the impact of craving on cannabis use in real time and may better capture its time-varying nature. The goal of this exploratory study was to examine whether momentary craving and craving variability predict subsequent use of cannabis and how baseline concentrate use status and male sex might affect these relationships.

Method: College students residing in a state with legal recreational cannabis use who used cannabis twice a week or more completed a baseline interview and signal-contingent EMA for 2 weeks using a smartphone application.

Momentary patterns of alcohol and cannabis co-use in college students: Assessing the temporal association with anxiety.

Using ecological momentary assessment (EMA), we assessed momentary patterns of alcohol and cannabis co-use in college students and whether state-level and baseline reports of anxiety varied based on type of substance(s) consumed. Students (=109) reporting regular cannabis use completed a baseline assessment and two-week signal-contingent EMA, with three random prompts/day. At each EMA instance, we categorized instances of substance "usage" as: 1) no use, 2) cannabis-only, 3) alcohol-only, or 4) co-use of alcohol and cannabis (i.

Characterizing symptoms of cannabis use disorder in a sample of college students.

Since legalization of marijuana in several U.S. states in 2012, there has been concern about increases in the development of cannabis use disorder (CUD).

The Experience of Acute Mechanical Ventilation From the Patient's Perspective.

Background: The Pain, Agitation, and Delirium guidelines influenced practice to support targeted, light sedation for the mechanically ventilated patient. This practice is associated with improved clinical outcomes, but it remains unclear how it impacts the patient experience.

Objective: The objective was to determine the pervasive patient experience components and how the experience may have been influenced by targeted, light sedation practices.

Evaluation of a New Helicopter Crew Transport Fatigue Assessment.

Fatigue in air ambulance crews leads to decrements in performance and situational awareness that may contribute to aircraft accidents and patient care mistakes. Fatigue assessments completed by flight crews can give early warning when fatigue is accumulating. Countermeasures can then be implemented to improve performance and increase safety.

Assessing Lift-Off Times for a Hospital-Based Helicopter Transport Program.

Objective: Hospital-based helicopter transport programs must define and track their own lift-off times (LOTs). The goal of this quality improvement study was to evaluate LOTs, identify factors influencing LOTs, and implement changes to improve LOTs without compromising safety.

Methods: A retrospective evaluation of 248 flights during 2016 was completed using recorded times from our dispatch center.

Feasibility of a combined aerobic and cognitive training intervention on cognitive function in cancer survivors: a pilot investigation.

Background: Cancer-related cognitive impairment (CRCI) may negatively affect upwards of 75% of cancer patients. Exercise and cognitive training, independently, may increase functional capacity and aspects of cognitive function. Yet, combined training protocols have not been evaluated in cancer survivor populations.

Does social context matter? An ecological momentary assessment study of marijuana use among college students.

Introduction: Past research has shown that marijuana use occurs commonly in social situations for young adults, though few studies have examined the association between immediate social context and marijuana use patterns and associated problems. The current study examined the impact of demographics, marijuana use and problem use, alcohol use, craving, and social context on the likelihood of using marijuana with others via ecological momentary assessment (EMA).

Methods: College-student marijuana users (N=56) were recruited and completed a baseline assessment and training on the two-week signal-contingent EMA protocol.

Marijuana use and associated motives in Colorado university students.

Background And Objectives: Marijuana is the most commonly used illicit drug among college students, with heavy use leading to negative outcomes. Use of marijuana for medical and recreational purposes in select U.S.

Inpatient ambulation: use of an ambulation platform apparatus.

Ambulation has proven to be an important part of recovery for medical-surgical patients. This study provides original research on the use of a platform apparatus for ambulation of patients on a medical-surgical unit. Outcomes included number of ambulation attempts, distance of ambulation, length of hospital stay, number of staff necessary to ambulate, and discharge destination.

Marijuana use, craving, and academic motivation and performance among college students: An in-the-moment study.

Introduction: Marijuana is the most commonly used illicit substance in the U.S., with high rates among young adults in the state of Colorado.

Early mobility in the intensive care unit: Standard equipment vs a mobility platform.

Background: Despite the general belief that mobility and exercise play an important role in the recovery of functional status, mobility is difficult to implement in patients in intensive care units.

Objectives: To compare a mobility platform with standard equipment, assessing efficiency (decreased time and staff required to prepare patient), effectiveness (increased activity time), and safety (no falls, unplanned tube removals, or emergency situations) for intensive care patients.

Methods: This observational study was approved by the institutional review board, and informed consent was obtained from the patient or the medical decision maker.

Cancer type does not affect exercise-mediated improvements in cardiorespiratory function and fatigue.

Purpose: Despite mounting evidence indicating that exercise training has a positive effect on cancer recovery, the influence of cancer type on the response to exercise training remains uncharacterized. Therefore, the adaptations to exercise training were compared between groups composed of 7 different forms of cancer.

Methods: A total of 319 cancer survivors completed fatigue inventories and participated in assessments of cardiorespiratory function, which encompassed aerobic capacity (VO2 peak), pulmonary function (forced vital capacity [FVC] and forced expiratory volume in 1 second [FEV1]), and resting blood pressure and heart rate.

GMM logistic regression models for longitudinal data with time-dependent covariates and extended classifications.

When analyzing longitudinal data, it is essential to account both for the correlation inherent from the repeated measures of the responses as well as the correlation realized on account of the feedback created between the responses at a particular time and the predictors at other times. As such one can analyze these data using generalized estimating equation with the independent working correlation. However, because it is essential to include all the appropriate moment conditions as you solve for the regression coefficients, we explore an alternative approach using a generalized method of moments for estimating the coefficients in such data.

Feasibility of text messaging for ecological momentary assessment of marijuana use in college students.

Measuring self-reported substance use behavior is challenging due to issues related to memory recall and patterns of bias in estimating behavior. Limited research has focused on the use of ecological momentary assessment (EMA) to evaluate marijuana use. This study assessed the feasibility of using short message service (SMS) texting as a method of EMA with college-age marijuana users.

Exact logistic models for nested binary data.

The use of logistic models for independent binary data has relied first on asymptotic theory and later on exact distributions for small samples. However, the use of logistic models for dependent analysis based on exact analysis is not as common. Moreover, attention is usually given to one-stage clustering.