Predictors of Recall Error in Self-Report of Age at Alcohol Use Onset

Livingston, Melvin D.; Xu, Xiaohui; Komro, Kelli A.

doi:10.15288/jsad.2016.77.811

Cited by 12 publications

(6 citation statements)

References 37 publications

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“…The studies excluded for this reason were predominantly early-onset cannabis use studies. We excluded these because age-onset variables are often inaccurate [24], with recalled age of onset increasing as an individual’s historical age increases [25]. Additionally, we decided to exclude unpublished work (i.e., inclusion/exclusion criterion # 8) to ensure that the quality of the work included in our review passed the standards of independent peer review.…”

Section: Methodsmentioning

confidence: 99%

Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review

Gorey

Kuhns

Smaragdi

et al. 2019

Eur Arch Psychiatry Clin Neurosci

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The impact of cannabis on the adolescent compared to adult brain is of interest to researchers and society alike. From a theoretical perspective, adolescence represents a period of both risk and resilience to the harms of cannabis use and cannabis use disorders. The aim of this systematic review is to provide a critical examination of the moderating role of age on the relationship between cannabis use and cognition. To this end, we reviewed human and animal studies that formally tested whether age, adolescent or adult, changes the relationship between cannabis exposure and cognitive outcomes. While the results of this review do not offer a conclusive answer on the role of age, the novel review question, along with the inclusion of both human and animal work, has allowed for the formation of new hypotheses to be addressed in future work. First, general executive functioning seems to be more impaired in adolescent frequent cannabis users compared to adult frequent cannabis users. Second, age-effects may be most prominent among very heavy and dependent users. Third, craving and inhibitory control may not decrease as much post-intoxication in adolescents compared to adults. Lastly, adolescents’ vulnerability to reduced learning following cannabis use may not persist after sustained abstinence. If these hypotheses prove correct, it could lead to important developments in policy and prevention efforts. Electronic supplementary material The online version of this article (10.1007/s00406-019-00981-7) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review

Gorey

Kuhns

Smaragdi

et al. 2019

Eur Arch Psychiatry Clin Neurosci

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“…There is also possibility of self-reported bias . Self-reported responses can be understated or exaggerated by participants, and participants might not recall exactly how often they use e-cigarettes and cigarettes and the frequency and severity of the ocular symptoms . Severity is also a notion that is not objectively standardized or quantified for participants …”

Section: Discussionmentioning

confidence: 99%

Ocular Symptoms in Adolescents and Young Adults With Electronic Cigarette, Cigarette, and Dual Use

Nguyen,

Gaiha,

Chung

et al. 2023

JAMA Ophthalmol

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ImportanceDespite increasing use of cigarettes and electronic cigarettes (e-cigarettes) and related health effects among youth, few studies have reported their effects on eyes.ObjectiveTo examine the frequency and severity of ocular symptoms (ocular discomfort, pain, burning, itching, redness, dryness, glare, blurriness, strain, and headaches) in young e-cigarette and cigarette users.Design, Setting, and ParticipantsIn an observational cross-sectional study, a survey conducted in May 6 to 14, 2020, asked participants about use (ever, past 30 days, and past 7 days) of e-cigarettes and cigarettes. The participants included US individuals aged 13 to 24 years.Main Outcomes and MeasuresAssociations between vision-related outcomes (general vision, severity/frequency of ocular symptoms) and tobacco use were analyzed using weighted multivariable logistic regressions, adjusting for sociodemographic factors, contact lens use, and other combustible use.ResultsThere were 2168 never users, 2183 ever users, 1092 past 30-day users, and 919 past 7-day users of e-cigarettes; 55.9% of e-cigarette ever users also used cigarettes (dual users). Of the 4351 respondents, 63.8% identified as female, and mean (SD) age was 19.1 (2.9) years. Between 1.1% and 3.9% of ever dual users reported severe to very severe ocular symptoms; between 0.9% and 4.3% reported daily symptoms, which was higher than the proportion of symptoms in e-cigarette- or cigarette-only users. Past 7-day dual users had more severe itching (adjusted odds ratio [AOR], 2.37; 95% CI, 1.36-4.13; P = .002), redness (AOR, 2.58; 95% CI, 1.50-4.46; P = .001), dryness (AOR, 2.89; 95% CI, 1.64-5.08; P &lt; .001), glare (AOR, 2.56; 95% CI, 1.50-4.35; P = .001), blurriness (AOR, 2.47; 95% CI, 1.36-4.50; P = .003), headaches (AOR, 2.31; 95% CI, 1.34-4.00; P = .003); and more frequent pain (AOR, 3.45; 95% CI, 2.09-5.68; P &lt; .001), burning (AOR, 3.08; 95% CI, 1.86-5.09; P &lt; .001), and redness (AOR, 2.72; 95% CI, 1.69-4.36; P &lt; .001) than all other participants. Past 30-day dual users had more severe dryness (AOR, 2.65; 95% CI, 1.61-4.36; P &lt; .001) and more frequent pain (AOR, 3.33; 95% CI, 2.12-5.21; P &lt; .001) than all other participants. Ever dual users experienced more severe dryness (AOR, 1.60; 95% CI, 1.05-2.43; P = .03) and blurriness (AOR, 1.79; 95% CI, 1.21-2.64; P = .003) and more frequent pain (AOR, 1.69; 95% CI, 1.13-2.53; P = .01) and blurriness (AOR, 1.63; 95% CI, 1.13-2.36; P = .009) than never users.Conclusions and RelevanceIn this cross-sectional US study, adolescents and young adult users of both e-cigarettes and cigarettes had a higher likelihood of experiencing severe and frequent ocular symptoms, with past 7-day users reporting more symptoms than past 30-day users or ever users. These findings provide additional reasons for users of e-cigarettes and cigarettes to reduce their tobacco use to possibly prevent or minimize ocular symptoms.

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“…Since we used self-reported alcohol flushing variable, we were not able to guarantee the validity of alcohol flushing compared to flushing status defined by genetic examination. Unfortunately, we cannot assess whether the responses recorded for alcohol flushing accurately reflect the shortage of the alcohol decomposing enzyme responsible using the data provided alone though the use of genetic variants can serve as a more accurate measure [ 36 ]. In this study, alcohol flushing was strongly associated with log transformed alcohol consumption (F = 272), with alcohol flushing status explaining approximately 10.2% of alcohol consumption.…”

Section: Discussionmentioning

confidence: 99%

Alcohol Consumption and Cigarette Smoking among Young Adults: An Instrumental Variable Analysis Using Alcohol Flushing

Jee

Park

Yuk

et al. 2021

IJERPH

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Association between drinking and smoking has remained controversial since the association between two studies were influenced by various confounding. Thus, our study aimed to explore the causal effect of alcohol consumption and cigarette smoking using alcohol flushing as an instrument variable, which is free from confounders. We analyzed cross-sectional survey data from 2500 Korean young adults (1600 men and 900 women). Alcohol flushing was strongly associated with log transformed alcohol consumption (F = 272). In men, alcohol non-flushers were 1.41 times (95% CI 1.28–1.55) more likely to smoke 100 cigarettes in their lifetime in logistic regression analysis. Alcohol non-flushers were also 1.3 times (95% CI 1.21–1.40) more likely to become daily smokers and 1.39 times (95% CI 1.27–1.51) more likely to be current smokers than alcohol flushers. However, in an IV analysis, no causal relationships between alcohol consumption and smoking status were found. Alcohol consumption, on the other hand, was causally associated with lowering nicotine dependence and former smoking in men. Alcohol consumption determined by alcohol flushing status does not appear to be causally linked to the smoking behavior of young adults. The relationship between alcohol consumption and nicotine dependence and smoking cessation needs further study.

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Predictors of Recall Error in Self-Report of Age at Alcohol Use Onset

Cited by 12 publications

References 37 publications

Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review

Age-related differences in the impact of cannabis use on the brain and cognition: a systematic review

Ocular Symptoms in Adolescents and Young Adults With Electronic Cigarette, Cigarette, and Dual Use

Alcohol Consumption and Cigarette Smoking among Young Adults: An Instrumental Variable Analysis Using Alcohol Flushing

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