The effects of Present Hedonistic Time Perspective and Past Negative Time Perspective on substance use consequences

Chavarria, Jesus; Allan, Nicholas P.; Moltisanti, Allison J.; Taylor, Jeanette

doi:10.1016/j.drugalcdep.2015.04.027

Cited by 42 publications

(29 citation statements)

References 60 publications

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“…However, Resolved/Regulated dimension is also indirectly associated with the level of ambivalence experienced by the patient. People with high Past Negative orientation are thought to be easily overwhelmed by the memories of negative past events, which is related to an increased level of negative affects, stress, and anxiety (Chavarria, Allan, Moltisanti, & Taylor, ; Papastamatelou, Unger, Giotakos, & Athanasiadou, ; Tseferidi, Griva, & Anagnostopoulos, ). Therefore, one could assume that past‐centered patients may hesitate to give up alcohol, as it is an easy remede for their psychological distress.…”

Section: Discussionmentioning

confidence: 99%

Mediation of time perspectives on inclinations to use alcohol and motivation to change relationship

2018

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Section: Discussionmentioning

confidence: 99%

Mediation of time perspectives on inclinations to use alcohol and motivation to change relationship

2018

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“…During September of 2015, participants were recruited to complete a brief, anonymous, online “Health Behaviors Survey” via Amazon Mechanical Turk (i.e., Mturk), a crowdsourcing data collection service that previously has been demonstrated to be a valid method for collecting scientific survey data (Mason & Suri, 2012) including data on illicit substance use (e.g., Chavarria, Allan, Moltisanti, & Taylor, 2015; Stickland & Stoops, 2015). …”

Section: Methodsmentioning

confidence: 99%

Predictors of Adult E-Cigarette Users Vaporizing Cannabis Using E-Cigarettes and Vape-Pens

Morean

Lipshie

Josephson

et al. 2017

Substance Use & Misuse

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Background Limited research exists on the use of portable, battery-powered cannabis vaporizers by adult e-cigarette users. Objective We assessed cannabis vaporization among adult e-cigarette users. Methods 522 adult vapers completed an online survey. Demographics; lifetime and past-month cannabis vaporization via e-cigarettes/vape-pens; preferences for hash oil, THC wax, or dried buds; and cannabis vaporization beliefs and motives were examined. Demographics, age of e-cigarette onset, e-cigarette use frequency, state-level legal status of cannabis, cannabis vaping beliefs/motives, and impulsivity were examined as predictors of lifetime cannabis vaporization, past-month cannabis vaporization, and cannabis vaping frequency. Results E-cigarette users reported lifetime (LT 17.8%) and past-month (PM 11.5%) cannabis vaporization. Vapers preferred hash oil (LT/PM 45.5/47.5%), THC wax (15.2/32.2%), and dried buds (39.4/35.6%). Cannabis vapers were motivated to vape cannabis because it tastes better (39.3/37.9%%), is healthier (42.9/39.7%%), is easier to conceal/hide (35.7/46.6%), does not smell as strong (42.9/39.7%), is more convenient (42.9/29.5%), and produces a stronger/better high (58.1/40.7%) than smoking cannabis. Lifetime and past-month cannabis vaporization, respectively, were associated with initiating e-cigarette use at an earlier age (OR = .090/0.88), being impulsive (OR = 2.25/3.23), having poor self-control (OR = 2.23/1.85), and vaporizing cannabis because it is easier to conceal/hide (OR = 2.45/2.48) or is more convenient than smoking cannabis (OR = 5.02/2.83). Frequency of vaping cannabis was associated with heavier e-cigarette use (ηp2 = 0.10) and impulsivity (ηp2 = 0.09). Conclusions Adult e-cigarette users are vaporizing cannabis using e-cigarettes and vape-pens. Use of these products should be monitored as they continue to gain popularity.

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“…Data were also examined for inconsistent responding (e.g., reporting smoking on the screening survey, but not in the baseline survey). We have successfully used these or similar data quality checks in previous research on mTurk (e.g., , as have other investigators in the behavioral and addiction sciences (e.g., Chavarria, Allan, Moltisanti, & Taylor, 2015;Donaldson, Siegel, & Crano, 2016;Johnson et al, 2015;Peters et al, 2017). Data quality checks were not included in the weekly surveys, which could be considered a limitation of the design (although also see discussion of overuse of attention checks in Chandler & Shapiro, 2016).…”

Section: Study Measuresmentioning

confidence: 99%

Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data

Strickland

Stoops

2018

J Exper Analysis Behavior

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Challenges to conducting longitudinal research include financial, time, and geographic constraints. An emerging sampling method positioned to address these concerns is crowdsourcing. This study evaluated the feasibility, acceptability, and validity of collecting intensive longitudinal alcohol use data with the crowdsourcing platform, Amazon.com's Mechanical Turk (mTurk). Participants (N = 278) recruited from mTurk provided weekly recordings of daily alcohol and soda use over an 18-week period. Construct and external validity was evaluated using generalized linear mixed models describing associations of between-subject (e.g., alcohol use severity) and within-subject (e.g., day of week) variables with prospectively collected alcohol and soda use. High response rates were observed across the 18-week period demonstrating feasibility (64.1%-86.8%). The design was acceptable with 94% of participants indicating they were satisfied with the procedures. Multilevel models supported construct and external validity by replicating expected associations, such as more frequent and heavier drinking by individuals with higher AUDIT scores and on weekends. These effects were specific to alcohol use and did not extend to soda consumption. These data support the feasibility, acceptability, and validity of using mTurk for intensive longitudinal data collection. Future studies may leverage this platform to generate large, geographically diverse samples for prospective behavioral analytic research.

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The effects of Present Hedonistic Time Perspective and Past Negative Time Perspective on substance use consequences

Cited by 42 publications

References 60 publications

Mediation of time perspectives on inclinations to use alcohol and motivation to change relationship

Mediation of time perspectives on inclinations to use alcohol and motivation to change relationship

Predictors of Adult E-Cigarette Users Vaporizing Cannabis Using E-Cigarettes and Vape-Pens

Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data

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