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Research on real-world patterns of substance use increasingly involves intensive longitudinal data (ILD) collection, requiring long assessment windows. The present study extends limited prior research examining event- and person-level influences on compliance and response consistency by investigating how these behaviors are sustained over time in an ILD study of alcohol and cannabis co-use in college students. Participants (n = 316) completed two 28-day bursts of ILD comprising five daily surveys, which included a morning survey of prior-day drinking. We used linear mixed effects models in a multilevel interrupted time series framework to evaluate the associations of time and measurement burst with (a) noncompliance (count of missed surveys) and (b) response consistency (difference between same-day report of drinking and morning report of prior-day drinking). We observed that time was positively associated with noncompliance, with no discontinuity associated with measurement burst. The slope of time was more positive in the second burst. Neither time nor measurement burst were significantly associated with consistent reporting. However, survey nonresponse and consistency of responding appeared to be impacted by the same-day use of substances. Overall, compliance decreased while consistency was stable across the duration of a lengthy ILD protocol. Shorter assessment windows or adaptive prompting strategies may improve overall study compliance. Further work examining daily burden and context is needed to inform future ILD design. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Objective: Simultaneous alcohol and cannabis use (i.e., marijuana, [SAM], using alcohol and cannabis so effects overlap) is associated with increased consumption and consequences compared to single-substance use. SAM use prevalence is increasing, yet there is heterogeneity in use patterns among those engaging in SAM use, which may lead to differential consequences. Method: This study drew on daily data to characterize latent profiles of cannabis, alcohol, and SAM use patterns and to test class differences on related consequences after 3 months among college students engaging in SAM use (77.08% White, 51.67% female). Class indicators were 10 person-level substance use variables derived from repeated daily surveys. Results: Results yielded a three-class solution: Heavy Alcohol, Cannabis, and SAM (Heavy Use, n = 105); Heavy Alcohol-Light Cannabis (n = 75); and Light Alcohol-Heavy Cannabis (n = 60). There were significant person-level differences between classes on all substance use indicators (e.g., quantity and frequency of alcohol, cannabis, and SAM) but not sex or race/ethnicity. At 3-month follow-up, the Heavy Use class endorsed more SAM consequences than the other classes. The Heavy Use class did not differ on alcohol or cannabis consequences compared to the Heavy Alcohol-Light Cannabis or Light Alcohol-Heavy Cannabis classes, respectively. The Light Alcohol-Heavy Cannabis class endorsed the fewest alcohol consequences. The Heavy Alcohol-Light Cannabis class endorsed the fewest cannabis consequences. Conclusions: Findings highlight distinct patterns of co-use and their association with consequences at follow-up. Heavy alcohol or cannabis use was associated with consequences for that substance, but heavy use of only one substance was not indicative of SAM-specific consequences.
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BACKGROUND: While ecological momentary assessment (EMA) is commonly used to study social contexts and social influence in the real world, EMA almost exclusively relies on participant self-report of present circumstances, including the proximity to influential peers. There is the potential for developing a proximity sensing approach that uses small Bluetooth beacons and smartphone-based detection and data collection to collect information about interactions between individuals passively in real time. OBJECTIVE: This paper aims to describe the methods for evaluating the functionality and validity of a Bluetooth-based beacon and a smartphone app to identify when ≥2 individuals are physically proximal. METHODS: We will recruit 20 participants aged 18 to 29 years with Android smartphones to complete a 3-week study during which beacon detection and self-report data will be collected using a smartphone app (MEI Research). Using an interviewer-administered social network interview, participants will identify up to 3 peers of the same age who are influential on health behavior (alcohol use in this study). These peers will be asked to carry a Bluetooth beacon (Kontakt asset tag) for the duration of the study; each beacon has a unique ID that, when detected, will be recorded by the app on the participant's phone. Participants will be prompted to respond to EMA surveys (signal-contingent reports) when a peer beacon encounter meets our criteria and randomly 3 times daily (random reports) and every morning (morning reports) to collect information about the presence of peers. In all reports, the individualized list of peers will be presented to participants, followed by questions about peer and participant behavior, including alcohol use. Data from multiple app data sets, including beacon encounter specifications, notification, and app logs, participant EMA self-reports and postparticipation interviews, and peer surveys, will be used to evaluate project goals. We will examine the functionality of the technology, including the stability of the app (eg, app crashes and issues opening the app), beacon-to-app detection (ie, does the app detect proximal beacons?), and beacon encounter notification when encounter criteria are met. The validity of the technology will be defined as the concordance between passive detection of peers via beacon-to-app communication and the participant's EMA report of peer presence. Disagreement between the beacon and self-report data (ie, false negatives and false positives) will be investigated in multiple ways (ie, to determine if the reason was technology-related or participant compliance-related) using encounter data and information collected from participants and peers. RESULTS: Participant recruitment began in February 2023, and enrollment was completed in December 2023. Results will be reported in 2025. CONCLUSIONS: This Bluetooth-based technology has important applications and clinical implications for various health behaviors, including the potential for just-in-time adaptive interventions that target high-risk behavior in real time. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/50241.
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This study characterized how quantities of cannabis and alcohol use affect sleep. Single-day and typical cannabis and alcohol use patterns were considered to assess acute-chronic use interactions. Linear and non-linear associations assessed dose-dependence. College students (n=337; 52% female) provided 11,417 days of data, with up to five time points per day. Daily self-reported sleep duration, cannabis use quantity, and alcohol use quantity were subjected to linear mixed modeling to capture linear and curvilinear associations between single-day and typical use on same-night and typical sleep. Sleep duration (difference between bedtime and waketime) was the outcome. Quantity of cannabis used each day andtypical quantity used across all days were predictors in the cannabis models. Parallel single-day and typical alcohol variables were predictors in the alcohol models. Follow-up analyses excluded days with alcohol-cannabis co-use. Main effects of single-day and typical cannabis quantity on sleep duration were observed when all cannabis-use days were modeled. Higher than typical doses of single-day and typical cannabis were associated with longer sleep durations, but only to a point; at the highest doses, cannabis shortened sleep. A main effect of single-day alcohol quantity and two interactions (single-day use with both linear and curvilinear typical use) on sleep duration were observed when all alcohol-use days were modeled. Greater alcohol consumption on a given day led to shorter same-night sleep, but typically heavier drinkers required higher doses than typically lighter drinkers to experience these adverse effects. Follow-up models suggested alcohol co-use may contribute to the purported sleep-promoting effects of cannabis.
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Background and Aims: Medications for opioid use disorder (MOUD) are highly effective in improving treatment outcomes and reducing overdose. Concerns about interrupted access to critical MOUD services led to expansion of telemedicine services during the COVID-19 pandemic in the US. The current study tested the hypothesis that telemedicine usage and healthcare coverage would be significantly associated with access to MOUD in the early phase of the COVID-19 pandemic. Design: A cross-sectional online survey was administered to a non-probability sample from June 18-July 19, 2020 using the Amazon Mechanical Turk platform. Setting: Northeastern United States during the early phase of the COVID-19 pandemic. At the time of the survey, federal regulators had waived the longstanding requirement for in-office visits for MOUD prescription receipt and provided guidance on increasing third-party payer reimbursement rates for telehealth visits in order to mitigate barriers to care associated with COVID-19 safety guidelines. Participants: Individuals 18 years or older residing in Connecticut, Massachusetts, New Jersey, New York, or Rhode Island were eligible to complete the survey. The analytic sample was participants who reported using opioids not as prescribed by a physician in the past seven days. Measurements: Demographics, telemedicine usage, and healthcare coverage were assessed as explanatory variables. The primary outcome was whether participants reported ability to access MOUD in the past four weeks. Findings: In this sample of individuals who used illicit opioids in the past week (N = 191), one in two individuals who utilized telehealth or had healthcare coverage were able to access MOUD, whereas only one in five of their respective counterparts who did not have telehealth access or healthcare coverage were able to access these medications. Conclusions: Telemedicine and healthcare coverage were associated with greater MOUD access early in the COVID-19 pandemic, when barriers to care were high. Such findings speak to the importance of not only extending but also formalizing temporary policy changes instituted during the pandemic to allow MOUD prescribing via telemedicine.
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BACKGROUND: Young adults frequently use alcohol, cannabis, and tobacco together. Given the increased prevalence of e-cigarette use and recreational cannabis use, we investigated daily patterns of alcohol, cannabis, and tobacco use and distinguished combustible tobacco from e-cigarettes. METHODS: Young adult college students (N=341) reporting past-month alcohol and cannabis use "at the same time so that their effects overlapped" completed two 28-day bursts of repeated daily surveys. Exposures were day- and person-level use of each substance. Outcomes were (1) same-day co-use of each remaining substance or (2) poly-use of the other substances. RESULTS: Daily use of alcohol, cannabis, combustible cigarettes, and e-cigarettes increased the odds of same-day co-use of the other substances (except combustible tobacco with e-cigarettes) and each poly-use outcome. The influence of person-level substance use on daily substance use was less consistent. Only e-cigarette use increased the odds of daily alcohol use. Use of either tobacco product but not alcohol increased the odds of daily cannabis use. Person-level alcohol and cannabis use increased the odds of daily use of either tobacco product but use of one tobacco product was not associated with daily use of the other product. CONCLUSIONS: These findings increase our understanding of emerging daily patterns of alcohol, cannabis, and tobacco co-use, and the impact of different tobacco products. Future work is needed to extend this research into non-college samples and people who use tobacco but do not use alcohol and cannabis simultaneously, and examine daily chronologies of multiple substances that could serve as dynamic markers of risk.
Subject(s)
Cannabis , Electronic Nicotine Delivery Systems , Substance-Related Disorders , Tobacco Products , Vaping , Young Adult , Humans , Vaping/epidemiology , Tobacco Use/epidemiology , EthanolABSTRACT
Risk for sexual violence begins early in the lifespan; thus, interventions are needed to decrease the risk for sexual violence among high school youth. The current study evaluates the Your Voice Your View (YVYV) sexual violence prevention program using a school-based cluster trial among 26 high schools in the Northeastern United States. YVYV, includes: 1) a series of four classroom workshops designed to engage students as allies in violence prevention through bystander intervention skills training, address risks for sexual aggression, and reduce risk for victimization; 2) a Lunch and Learn teacher training workshop; and 3) a 4-week social norms poster campaign based on normative data from the school. Schools were matched based on size and demographics and randomly assigned to the intervention group or a wait-list control group. A sample of 2685 10th grade students enrolled in the research and completed assessments at baseline, 2-month and 6-month follow-up periods. The magnitude of the difference in sexual aggression did not vary by condition at either follow-up period. The magnitude of 6-month differences in experiencing unwanted sexual intercourse varied significantly by condition (IRR = 0.33 [0.14-0.76]), demonstrating a small protective effect favoring intervention schools (Cohen's f2 = 0.012). These findings highlight the promise of multicomponent interventions grounded in bystander intervention skills training, risk reduction, and social norms theory as a promising, comprehensive approach for sexual violence prevention among youth.
Subject(s)
Sex Offenses , Adolescent , Humans , Sex Offenses/prevention & control , Violence/prevention & control , Sexual Behavior , Schools , StudentsABSTRACT
OBJECTIVE: Co-use of alcohol and cannabis has been associated with more total negative consequences than single-substance use, but results have been mixed depending on whether the single substance was alcohol or cannabis. The present study used within-person analyses to examine whether co-use increased the risk for experiencing specific acute negative consequences. METHOD: College students who were co-users of alcohol and cannabis (N = 341; M age = 19.8 years; 51.3% female; 74.8% White) completed 56 days of five daily surveys across two bursts. We used generalized linear mixed effects models to examine the effects of type of substance use day on specific negative consequences, controlling for consumption and covariates. RESULTS: Relative to both alcohol-only and co-use days, cannabis-only days were associated with decreased likelihood of experiencing hangover, blackout, nausea/vomiting, injury, rude/aggressive behavior, and unwanted sex. Relative to alcohol-only days, cannabis-only and co-use days were associated with an increased likelihood of driving high/drunk. Finally, there was an increased likelihood of hangovers on alcohol-only days compared with co-use days. CONCLUSIONS: Days with different types of substance use differed in specific consequences. Most of the negative co-use consequences investigated here appear to be driven by alcohol consumption rather than cannabis use. The results also indicated that these young adults were more likely to endorse driving under the influence of cannabis than alcohol. Interventions for co-use should target alcohol consumption to reduce negative consequences such as blackout, injury, rude/aggressive behavior, and unwanted sex and highlight the dangers of driving under the influence of cannabis.
Subject(s)
Alcoholic Intoxication , Cannabis , Hallucinogens , Substance-Related Disorders , Young Adult , Humans , Female , Adult , Male , Alcohol Drinking/adverse effects , Alcohol Drinking/epidemiology , EthanolABSTRACT
INTRODUCTION: People with HIV (PWH) who smoke have reported that managing anxiety is a barrier to making a quit attempt and maintaining abstinence post-quit. This study examined the feasibility and acceptability of an app-based mindfulness intervention, Unwinding Anxiety, to reduce anxiety prior to a quit attempt in PWH who were not planning to quit in the next 30 days. METHODS: Sixteen PWH (mean age 51.5 [SD = 13.2]; mean cigarettes per day 11.4 [SD = 5.4]) were enrolled and followed for eight weeks. A smartphone-based app with 30 modules designed to reduce anxiety was introduced at baseline; participants were encouraged to complete one module daily for four weeks. Symptoms of anxiety and readiness to quit smoking were measured at baseline and weeks 4 and 8. The mean number of modules completed, session attendance, and number of study completers were examined. Generalized estimating equations (GEE) were used to examine changes in self-reported anxiety and readiness to quit at baseline, week 4, and week 8. A brief qualitative interview was conducted at week 4 to explore the acceptability of the app. RESULTS: Feasibility was high, with 93% of participants completing the study. The mean number of study sessions completed was 2.7 (SD = 0.59), and the mean number of modules completed was 16.0 (SD 16.8). Anxiety was high at baseline (M = 14.4, SD = 3.9), but lower at week 4 (b = -5.5; CI: [-9.4, -1.7]; p = 0.004) and week 8 (b = -5.1; CI: [-8.8, -1.3]; p = 0.008), and stable between weeks 4 and 8 (b = 0.48; CI: [-2.0, 3.0]; p = 0.706). Readiness to quit significantly increased from baseline M = 5.5 (SD = 1.6) to week 4 (b = 0.56; CI: [0.20, 0.91]; p = 0.002) but was not significantly different from baseline at week 8 (b = 0.34; CI: [-0.30, 1.0]; p = 0.30). Ad-hoc moderation analyses found that anxiety had a small significantly positive association with readiness to quit at baseline (main effect: b = 0.10; SE = 0.03; p < 0.001) and significantly attenuated the increase in readiness to quit observed at week 4 (anxiety by week 4 interaction: b = -0.08; SE = 0.03; p = 0.009). CONCLUSIONS: App-based mindfulness training appears to be feasible and acceptable for PWH who smoke and report baseline anxiety. At week 4, anxiety was reduced and readiness to quit was increased, perhaps a key time point for a smoking cessation attempt.
Subject(s)
Anxiety , HIV Infections , Mindfulness , Mobile Applications , Smoking , Humans , Middle Aged , Anxiety/prevention & control , Feasibility Studies , HIV Infections/complications , HIV Infections/therapy , Smoking/psychology , Smoking Cessation , AdultABSTRACT
Research has linked specific COVID-19-related stressors to the mental health burden, yet most previous studies have examined only a limited number of stressors and have paid little attention to their clinical significance. This study tested the hypothesis that individuals who reported greater COVID-19-related stressors would be more likely to have elevated levels of anxiety, posttraumatic stress symptoms, and serious psychological distress. METHODS: An online survey was administered to a convenience sample from 18 June to 19 July 2020, in US states that were most affected by COVID-19 infections and deaths at the time. Individuals who were 18 or older and residents of five Northeast US states were eligible to participate (N = 1079). In preregistered analyses, we used logistic regression models to test the associations of COVID-19 stressors with symptoms on the Generalized Anxiety Disorder-7 (GAD-7), Impact of Event Scale-Revised, and K6, adjusting for sociodemographic covariates. RESULTS: COVID-19-related stressors (i.e., essential worker status, worry about COVID-19 infection, knowing someone hospitalized by COVID-19, having children under 14 at home, loneliness, barriers to environmental rewards, food insecurity, loss of employment) were associated with meeting thresholds (i.e., positive screening) for anxiety, posttraumatic stress, and/or serious psychological distress. Loneliness and barriers to environmental rewards were associated with all mental health outcomes. LIMITATIONS: We used a non-probability sample and cannot assume temporal precedence of stressors with regard to development of mental health symptoms. CONCLUSIONS: These findings link specific stressors to the mental health burden of the COVID-19 pandemic.
Subject(s)
COVID-19 , Child , Humans , COVID-19/epidemiology , Mental Health , Pandemics , Stress, Psychological/psychology , Anxiety/epidemiology , Anxiety/psychology , Depression/psychologyABSTRACT
The current manuscript has two aims. First, we examined whether race and ethnicity, perceived discrimination, medical mistrust, and other demographic factors were predictors of COVID-19 vaccine hesitancy and vaccine behavior. Second, we sought to assess whether medical mistrust and perceived discrimination mediate the relationship between race and ethnicity and vaccine behavior. Specifically, we hypothesized that individuals of color had increased COVID-19 vaccine hesitancy as compared to White individuals and perceived discrimination and medical mistrust mediated this relationship. Results revealed that when accounting for sociodemographic characteristics and COVID-19-related variables those with greater medical mistrust were more likely to have vaccine hesitancy. Additionally, after accounting for medical mistrust, Black non-Hispanic/Black Hispanic/White Hispanic individuals had lower odds of having the COVID-19 vaccine compared to White non-Hispanic individuals. Furthermore, combined perceived discrimination and medical mistrust indirectly mediated the relationship between race and ethnicity and having the COVID-19 vaccine. The findings of this study indicate the need for public health efforts to address sentiments of medical mistrust and experiences of perceived discrimination when combating COVID-19 vaccine hesitancy, especially within communities of color.
Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , Adult , Perceived Discrimination , COVID-19/prevention & control , Trust , EthnicityABSTRACT
BACKGROUND: The impact of alcohol and cannabis co-use on college student drinking and related outcomes is complex. Specific characteristics or patterns of co-use events beyond drinking quantity may be important to the experience of consequences. The present study used repeated daily surveys to examine the association between co-use (versus use of alcohol only) and drinking rate on negative consequences. METHODS: The sample included 318 college students (Mage = 19.8, 47% female, 76% non-Hispanic White) who were co-users of alcohol and cannabis, recruited from three U.S. college campuses. Participants completed 56 days of data collection (number of drinking days ranged from 1 to 38). Two measures of drinking rate were examined: (1) daily rate (number of drinks divided by number of hours spent drinking per day); and (2) peak hour rate (maximum number of drinks consumed in a single hour) to account for anomalous drinking days of long duration. Generalized linear mixed models examined: (1) associations of co-use with peak hour rate (model 1a) and daily rate (model 1b); (2) associations of peak hour rate (model 2a) and daily rate (model 2b) with experiencing any negative consequence; and (3) interactions of co-use with peak hour rate (model 3a) and daily rate (model 3b) on experiencing a consequence. RESULTS: Co-use was positively associated with peak hour rate but not daily rate. Both peak hour and daily rate positively predicted likelihood of experiencing a negative consequence. The interaction of both peak hour and daily rate by co-use was significant such that the association of rate with experiencing a consequence was stronger on alcohol-only days compared to co-use days. CONCLUSIONS: Daily drinking rate and peak hour drinking rate are unique and should be considered when discussing drinking patterns. Both predict negative consequences and may be important aspects of interventions for negative drinking-related outcomes among college students.
Subject(s)
Alcohol Drinking in College , Cannabis , Female , Humans , Young Adult , Adult , Male , Alcohol Drinking/epidemiology , Universities , EthanolABSTRACT
Objectives: In this paper, we explore the adherence patterns to US Centers for Disease Control and Prevention (CDC) COVID-19 mitigation guidelines among current, former, and never smokers. Methods: We used an online cross-sectional survey of adults 18 years or older in 5 northeastern states of the US (N=1084). Results: Unadjusted analyses revealed that current smokers reported lower adherence to the CDC guidelines than former smokers (27.5 vs 29.4, p<.05). After accounting for sociodemographic covariates, this finding was no longer statistically significant. However, compared to former smokers, never smokers reported wearing their mask less often (OR=0.65; 95% CI=0.45-0.94) and current smokers were less likely to report always practicing illness-related hygiene skills (OR=0.60; 95% CI=0.39-0.93).Conclusions: Never smokers had poorer adherence to CDC guidelines than former smokers, namely wearing their masks, and current smokers were less likely to always follow the hygiene recommendations. Results should inform future public health efforts in targeting current smokers with lower adherence to CDC guidelines and learning from the ability of former smokers to demonstrate high adherence.
Subject(s)
COVID-19 , Smokers , Adult , COVID-19/prevention & control , Cross-Sectional Studies , Humans , Smoking/epidemiologyABSTRACT
OBJECTIVE: Simultaneous use of alcohol and marijuana (SAM) is common among U.S. college students, but little research has examined specific substance use behaviors during SAM use episodes. This study identified latent classes of SAM users based on their SAM, alcohol-only, and marijuana-only use episodes. METHOD: College student SAM users (N = 284; 50.7% female; M age = 19.8 years) completed up to five surveys each day across two 4-week bursts. Latent class analysis (LCA) was used to characterize SAM users based on seven latent class indicators of use behavior. Sex was examined in relation to latent class membership. RESULTS: Five unique classes emerged: Frequent Marijuana-Focused SAM users (21%); Frequent Alcohol-Initiating SAM users (29%); Heavy-Drinking Infrequent SAM users (12%); Moderate SAM users (29%); and Light Infrequent SAM users (9%). These groups were differentiated primarily by their frequency of SAM use, form of marijuana, whether marijuana was used on non-SAM occasions, and whether consequences were experienced. Groups differed significantly by sex. CONCLUSIONS: College student SAM users are heterogeneous with respect not only to their degree of SAM use but also in their pattern of drinking, type of marijuana use, relative focus on alcohol versus marijuana, and risk of experiencing acute negative consequences. Describing this heterogeneity is an important step toward developing interventions for different types of users.
Subject(s)
Cannabis , Marijuana Smoking , Marijuana Use , Alcohol Drinking/epidemiology , Diaries as Topic , Ethanol , Female , Humans , Male , Marijuana Smoking/epidemiology , Marijuana Use/epidemiology , Young AdultABSTRACT
INTRODUCTION: Black and Hispanic individuals in the US experience more socioeconomic adversities that are associated with disparities in tobacco use and cessation than White individuals. This study examined if racial/ethnic differences in smoking abstinence were mediated by socioeconomic (SES) adversities. METHODS: Data from 7,101 established smokers were identified in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) and followed to Wave 4 (2016-2018). The study outcome was cigarette abstinence at Wave 4. The main independent variable was race/ethnicity (Non-Hispanic White [White], Non-Hispanic Black [Black] and Hispanic). The mediators were five measures of SES adversities (unemployment, poverty, difficulty with money, lower education level, lack of health insurance). A weighted Generalized Structural Equation Model (GSEM) was used to estimate the total, direct, and indirect effect of race/ethnicity on the odds of quitting mediated by the five SES adversities. This model was adjusted by study covariates, including health and smoking characteristics. RESULTS: The indirect effect of race/ethnicity on cessation showed that differences in quitting between Black and White individuals as well as Hispanic and White individuals were mediated by SES adversities. However, the differences in quitting between Hispanic and Black individuals were not mediated by SES adversities. Black and Hispanic individuals were less likely to quit than White individuals, but Hispanic individuals were more likely to quit than Black individuals. There were no direct effects between Black or Hispanic individuals compared to White individuals. Those with higher SES were more likely to quit compared to those with lower SES. DISCUSSION: Smoking abstinence is higher in White individuals compared to Black and Hispanic individuals and is mediated by SES adversities. However, smoking abstinence is higher among Hispanic individuals compared to Black individuals and it is not mediated by SES adversities. Future studies should consider the role of other factors, such as psychosocial support, racism, discrimination, and stress over the life course in explaining differences in smoking abstinence between Black and Hispanic individuals.
Subject(s)
Smoking Cessation , Adult , Ethnicity , Hispanic or Latino , Humans , Smokers , Smoking/epidemiologyABSTRACT
INTRODUCTION: Individuals with psychiatric conditions suffer disproportionately from tobacco-related morbidity and mortality, but the factors driving this relationship remain unclear. We used data from the Population Assessment of Tobacco and Health (PATH) to investigate whether associations between internalizing psychiatric symptoms and change in smoking heaviness (as measured by cigarettes per day (CPD) were mediated by self-reported respiratory symptoms, smoking risk perceptions, and cigarette dependence. METHODS: This study used data from PATH Waves 1 through 4 (2013-2017, n = 4,152). Psychiatric symptoms were indexed with the internalizing sub-scale of the Global Appraisal of Individual Needs-Short Screener (GAIN-SS) among daily smokers. We fit auto-regressive structural equation models (SEM) to data from Wave 1-3 and 2-4 to determine the direct and indirect associations between internalizing symptom scores and CPD through each mediator. RESULTS: The association between internalizing symptoms and CPD was mediated by cigarette dependence (indirect: B = 0.004, SE = 0.041, p = 0.023) and respiratory symptom severity (indirect: B = 0.018, SE = 0.097, p < 0.001). Internalizing symptoms predicted higher harm perceptions (B = 0.056, SE = 0.035, p < 0.001) but the indirect relationship with CPD was non-significant. Findings from Waves 2-4 replicated these results. CONCLUSION: Our results indicate that cigarette dependence and respiratory symptom severity partially mediate the relationship between internalizing symptoms and CPD but risk perceptions were not significant predictors in our models. This suggests that efforts to reduce smoking among people with internalizing disorders should focus on decreasing nicotine dependence and increasing awareness of respiratory symptoms to encourage a quit attempt or switch to a less harmful source of nicotine.
Subject(s)
Smoking Cessation , Tobacco Products , Tobacco Use Disorder , Adult , Humans , Smokers , Smoking Cessation/methods , Nicotiana , Tobacco Smoking , Tobacco Use Disorder/epidemiologyABSTRACT
INTRODUCTION: Reducing the nicotine content of cigarettes is a promising policy intervention to decrease cigarette dependence among people who smoke. Randomized trials support the potential efficacy of a reduced nicotine product standard for cigarettes. However, interpretation of such trials is challenged by incomplete adherence to the randomized treatment assignment, as some participants may continue to use commercial cigarettes not provided by the trial. The current study examined prevalence and predictors of non-adherence among trial participants with serious mental illness (SMI). AIMS AND METHODS: Adults with SMI who smoke daily and were not trying to quit (N = 58) were randomized to receive very low nicotine content (VLNC) or normal nicotine content cigarettes over 6 weeks. We investigated predictors of biologically assessed non-adherence in participants assigned to VLNC cigarettes (n = 30). Predictors included subjective responses to VLNC cigarettes, baseline nicotine dependence and dependence motives, and psychiatric symptom severity. We fit a series of linear models regressing non-adherence metrics onto covariates (gender; menthol preference) and focal predictors. RESULTS: Nearly all participants (96%) were estimated to be less than completely adherent to VLNC cigarettes. Lower enjoyment ratings of respiratory tract sensations of VLNC cigarettes predicted a greater degree of non-adherence (b = -.40, SE = .14, 95% CI: -0.71, -0.10). CONCLUSIONS: Less positive subjective response to smoking VLNC cigarettes was the only significant predictor of incomplete adherence among individuals with SMI, consistent with prior research in a general population sample. This suggests the potential for shared strategies to help different smoking populations adjust to a reduced nicotine product standard. IMPLICATIONS: Results offer preliminary insight into potential barriers to adherence in SMI populations. Adherence might be enhanced by supplementing VLNC cigarettes with alternative sources of non-combusted nicotine, paired with educational campaigns to encourage quitting or switching to less harmful products. Future studies should replicate these analyses in a larger sample of individuals with SMI who smoke.
Subject(s)
Mental Disorders , Smoking Cessation , Tobacco Products , Adult , Humans , Mental Disorders/epidemiology , Mental Disorders/psychology , Nicotine/analysis , Prevalence , Smoking/epidemiology , Smoking Cessation/methods , Tobacco Products/analysisABSTRACT
Although many women quit smoking while pregnant, rates of relapse after delivery are high. We examined the effectiveness of motivational interviewing (MI) in maintaining postpartum abstinence from smoking among pregnant women who recently quit smoking (N = 382), randomized to receive five brief MI phone counseling calls or to a prenatal and postpartum care as usual control condition. Relapse to smoking was assessed at 3, 6, and 12 months postpartum based on self-report and urine cotinine. Cox regressions compared conditions on relapse outcomes and hazard ratio of total number of MI calls was examined to probe dose-response effects. Results revealed no difference in the hazard ratio of relapse between treatment condition and no dose-response effect of total number of MI calls. Phone counseling in the prenatal and postpartum period did not facilitate maintenance of abstinence among new mothers. Considerations for future intervention development studies on relapse prevention during the postpartum period are discussed.
Subject(s)
Motivational Interviewing , Smoking Cessation , Counseling/methods , Female , Humans , Motivational Interviewing/methods , Postpartum Period , Pregnancy , Smoking Cessation/methods , Smoking Prevention , Telephone , NicotianaABSTRACT
Cannabis refusal self-efficacy, defined as confidence in the ability to refuse cannabis or to avoid cannabis use, is associated with decreased cannabis use. Juvenile justice-involved youth are at high risk for cannabis use and may have lower refusal self-efficacy. While court-involved, non-incarcerated (CINI) and incarcerated youth are groups that are both at high-risk for cannabis use, the experience of incarceration may impact the measurement of refusal self-efficacy for cannabis. The factor structure, measurement invariance, and concurrent validity of the Brief Situational Confidence Questionnaire for Cannabis (BSCQ-M) was assessed among CINI (n = 148) and incarcerated (n = 199) youth (80.7% male, Mage = 16.3). Confirmatory factor analyses indicated that a correlated 3-factor model including positive/good times, negative internal, and negative external situational factors best fit the data. Multigroup measurement invariance testing revealed that the BSCQ-M demonstrated configural, metric, scalar, and residual invariance across CINI and incarcerated samples, indicating measurement invariance across the two groups. Negative binomial regressions revealed that BSCQ-M scores were significantly negatively associated with concurrent cannabis use. Results suggest that the BSCQ-M is a brief, psychometrically sound measure of refusal self-efficacy for cannabis among juvenile justice-involved youth that can be utilized with both CINI and incarcerated youth.
Subject(s)
Cannabis , Adolescent , Factor Analysis, Statistical , Female , Humans , Male , Psychometrics , Self Efficacy , Surveys and QuestionnairesABSTRACT
Substance use in young adulthood and polysubstance users (PSU), in particular, pose unique risks for adverse consequences. Prior research on young adult PSU has identified multiple classes of users, but most work has focused on college students. We examined PSU patterns by age and college attendance during young adulthood in two nationally representative samples. Using National Epidemiological Survey on Alcohol and Related Conditions (NESARC) Wave 1 and NESARC-III data sets, multigroup latent class analysis (MG-LCA) was employed to examine PSU patterns based on age (18-24 vs. 25-34) and determine whether solutions were similar (i.e., statistically invariant) by college attendance/graduation. Classes were estimated by binary past-year use of sedatives, tranquilizers, opioids/painkillers, heroin, amphetamines/stimulants, cocaine, hallucinogens, club drugs, and inhalants, and past-year frequency of alcohol, cigarette, and cannabis use. PSU patterns are largely replicated across waves. Model fit supported 3-class solutions in each MG-LCA: Low frequency-limited-range PSU (alcohol, cigarettes, and cannabis only), medium-to-high frequency limited-range PSU (alcohol, cigarettes, and cannabis only), and extended-range PSU (ER PSU; all substances). Apart from one model, MG-LCA solutions were not invariant by college attendance/graduation, suggesting important differences between these groups. Except for alcohol, cannabis, and cigarette use frequency, results showed that probabilities of illicit and prescription drug use declined in the older age group. Findings also supported examining college and noncollege youth separately when studying PSU. ER PSU may be uniquely vulnerable to coingesting substances, particularly for nongraduates, warranting future research to classify patterns of simultaneous PSU and identify predictors and consequences of high-risk combinations (e.g., alcohol and opioids). (PsycInfo Database Record (c) 2022 APA, all rights reserved).