Longitudinal associations of sleep problems with alcohol and cannabis use from adolescence to emerging adulthood

Daily associations between sleep quality, stress, and cannabis or alcohol use among veterans

United States military veterans face heightened vulnerability to sleep disturbances due to factors such as irregular sleep schedules, combat-related stress, and co-occurring mental health disorders. These sleep disturbances are often exacerbated by substance use, including alcohol and cannabis, as veterans may rely on these substances to self-medicate for stress and sleep issues. However, the interplay between sleep quality, substance use, and perceived stress remains poorly understood, particularly on a day-to-day basis. This study aimed to explore the dynamic associations between these factors using daily diary data collected over three months from 74 veterans with elevated PTSD symptoms and problematic cannabis use. Data from this study are secondary analysis. Dynamic structural equation modeling (DSEM) was employed to examine both within-day and day-to-day lagged associations between sleep quality, perceived stress, and substance use (alcohol and cannabis). Results showed that worse sleep quality was associated with higher perceived stress the next day, which in turn predicted greater alcohol consumption. Additionally, stress mediated the relationship between poor sleep quality and increased alcohol use. For cannabis, while no day-to-day lagged effects were observed, within-day analyses revealed that higher cannabis use was associated with lower stress and better sleep quality that same night. These results highlight the complex and bidirectional relationships between sleep, stress, and substance use among veterans, underscoring the need for interventions that address these dynamics holistically. Future research should further explore these interactions using real-time data to inform tailored interventions for improving sleep and mental health outcomes in this population.

Sleep and Substance Use: Exploring Reciprocal Impacts and Therapeutic Approaches

PURPOSE OF REVIEW

Sleep disturbances are prevalent among those with comorbid substance use disorders (SUD), significantly impacting the initiation, maintenance and relapse of these conditions.

RECENT FINDINGS

This review explores the latest research on the reciprocal relationship between sleep and substance misuse, the effects of treating sleep on substance use outcomes, and the potential therapeutic uses of cannabis for sleep disorders in people with and without SUDs. Understanding these interactions may be critical for augmenting current treatment strategies aimed at improving sleep disturbances and recovery outcomes in individuals with SUDs.

Prevalence and associated risk factors of anxiety-induced sleep disturbance: Sex-stratified comparison among school-going adolescents in Paraguay

OBJECTIVES

This study aimed to assess the prevalence and correlates of anxiety-induced sleep disturbance (AISD) in Paraguayan adolescents through sex-stratified analysis.

METHODS

This study used the cross-sectional data from Paraguay's 2017 Global School-Based Student Health Survey (GSHS). A total of 3149 in-school adolescents (12-17 years; 51.2 % female) were included in the final analysis. Anxiety-induced sleep disturbance (AISD) was evaluated using the survey question: "During the past 12 months, how often have you been so anxious about something that you could not sleep at night?" Participants could respond on a scale from 1 (never) to 5 (always). For analysis, responses were categorized as follows: "never/rarely/occasionally" indicated no AISD, while "often/always" indicated the presence of AISD. Age-adjusted univariate and multiple logistic analyses were used to determine the correlates of AISD. Regression analysis findings were presented using adjusted odds ratios (AOR) and 95 % confidence intervals (CI), with a p-value <0.05.

RESULTS

The overall prevalence of AISD was 9.5 % among the respondents, significantly higher in girls (12 %) than boys (6.7 %). Loneliness, suicidal ideation, not attending physical education classes, and sitting activities were significantly associated with respondents' AISD. In both sexes, those with loneliness and those who had suicidal ideation were more likely to suffer from AISD than their counterparts. Among girls, those who did not attend physical education class and those who engaged in sedentary activities for three hours or more had significantly higher odds of AISD than boys.

CONCLUSION

This study found differences in patterns of significant associations between risk factors of AISD for boys and girls. Therefore, different sex-based strategies are recommended to reduce the prevalence of AISD among adolescents in Paraguay.

The Influence of Substance Use on Sleep Duration Among South Korean Adolescents by Sex: A Secondary Analysis

PURPOSE

Although insufficient sleep influences cognitive function and physical and mental health in adolescents, many still get less sleep than the recommended duration. Adolescent substance use, including alcohol and tobacco, influences sleep disturbance. However, sex differences in the relationship between substance use and sleep health have not been extensively studied. This study aimed to examine the effect of substance use on sleep duration among South Korean adolescents by sex.

DESIGN AND METHODS

This secondary data analysis used the 4th Wave of the Korean Children and Youth Panel Survey 2018 and applied a multiple regression analysis. Tobacco use and alcohol consumption were assessed by asking whether the participants had ever smoked or drunk alcohol during the previous year. Sleep duration was calculated based on the participants' reports related to sleep and awake times on weekdays and weekends.

RESULTS

For male adolescents, substance use, either tobacco use or alcohol consumption, did not significantly affect sleep duration, whereas for female adolescents, alcohol consumption was found to influence sleep duration. Age and subjective health were additional influential factors for adolescents' sleep duration, regardless of sex.

PRACTICE IMPLICATIONS

Interventions for alcohol consumption should be considered to enhance sleep health in female South Korean adolescents. Further studies are needed to understand the underlying mechanisms of sleep health, particularly the effects of substance use, among male adolescents.

Sleep Disturbances During Childhood Can Predict Adult Alcohol Consumption: A Longitudinal Cohort Study

BACKGROUND

Sleep disturbances (SDs) in childhood can negatively impact behavioral and emotional control, which can lead to an increase in risky behaviors, such as substance use, including alcohol.

METHODS

Data from 2,132 subjects who participated in the French TEMPO cohort from 1991 to 2018 were used. Sleep disturbances observed from ages 3 to 16 years defined our exposure. Alcohol use in adulthood was measured by alcohol consumption trajectories ascertained by using Group-Based Trajectory Modeling (GBTM) and constitutes our outcomes. The association between sleep disturbances in childhood and alcohol consumption trajectories was studied using multinomial logistic regression.

RESULTS

Sleep disturbances at ≤ 16 years were observed in 26.7% of participants. Three alcohol use trajectories were defined: "light-drinkers", "moderate-drinkers", and "heavy-drinkers". Accounting for many confounders, we found statistically significant associations between sleep disturbances and alcohol use trajectories. Using "light-drinkers" trajectory as reference, we found that compared to children with no sleep disturbances, those with sleep disturbances had a higher likelihood to be in the "moderate-drinkers" (ORa = 1.51; 95% CI = 1.09-2.10) and "heavy-drinkers" trajectory (ORa = 2.34; 95% CI = 1.27-4.34).

CONCLUSION

This study suggests that sleep disturbances in childhood are associated with an increased risk of higher alcohol consumption in adulthood and highlights the importance of healthy sleep, particularly in children and adolescents, to prevent the onset of certain risky behaviors.

Sleep patterns in adolescents and associations with substance use

OBJECTIVES

Good sleep during adolescence is crucial for maintaining physical and psychological health; however, sleep disturbance during this period may contribute to health risks, such as substance use. This study aimed to identify the latent sleep patterns across male and female adolescents, and their association with drug use.

METHOD

A cross-sectional study was conducted involving 1391 high school students (aged 15-17; 56.4% female). Participants completed the brief Pittsburgh Sleep Quality Index alongside other sleep measures, and the Timeline Follow-Back and Drug Use History Questionnaire to measure substance use. A multiple-group latent class analysis was used to identify sleep patterns across sexes, and pairwise Logistic Regression models to compare their association with substance use.

RESULTS

Four sleep patterns were identified with varying degrees of sleep difficulties: "Good Sleep" (43.3%), "Night Awakenings" (31.8%), "Poor Efficiency and Sleep Onset" (9.4%), and "Poor Sleep" (15.5%). Female adolescents were more likely to belong to Poor Sleep and Poor Efficiency and Sleep Onset patterns, and male adolescents to Good Sleep. Likewise, binge drinking and using alcohol for a longer period were associated with experiencing Poor Efficiency and Sleep Onset (OR=1.03 and 2.3, respectively); smoking tobacco within the past month was linked to Night Awakenings (OR=2.2); and using cannabis or illegal drugs to the Poor Sleep pattern (OR=2.4 and 2.6, respectively).

CONCLUSIONS

Varied sleep difficulties exist among adolescents that significantly correlate with different aspects of drug use. Targeted interventions that address both sleep and drug prevention are recommended.

Changes in Rest-Activity Rhythms in Adolescents as They Age: Associations With Brain and Behavioral Changes in the ABCD Study

OBJECTIVE

Adolescents with disrupted rest-activity rhythms (RARs), including shorter sleep duration, later sleep timing, and low physical activity levels, are at greater risk for mental health and behavioral problems. It remains unclear whether the same associations can be observed for within-subject changes in RARs.

METHOD

This longitudinal investigation on RARs used Fitbit data from the Adolescent Brain Cognitive Development (ABCD) Study at the 2-year follow-up (FL2) (ages 10-13 years) and 4-year follow-up (FL4) (ages 13-16 years). Good-quality Fitbit data were available for 963 youths at both time points. Changes in RARs from FL2 to FL4, their environmental and demographic contributors, and brain and behavioral correlates were examined.

RESULTS

From FL2 to FL4, adolescents showed decreases in sleep duration and physical activity as well as delayed sleep timing (Cohen d = 0.44-0.75). Contributions of environmental and demographic factors to RAR changes were greatest for sleep timing (explained 10% variance) and least for sleep duration (explained 1% variance). Delays in sleep timing had stronger correlations with behavioral problems including impulsivity and poor academic performance than reductions in sleep duration or physical activity. Additionally, the various brain measures differed in their sensitivity to RAR changes. Reductions in sleep duration were associated with decreased functional connectivity between subcortical regions and sensorimotor and cingulo-opercular networks and with enhanced functional connectivity between sensorimotor, visual, and auditory networks. Delays in sleep timing were mainly associated with gray matter changes in subcortical regions.

CONCLUSION

The current findings corroborate the importance of sleep and physical activity in brain neurodevelopment and behavioral problems in adolescents. RARs might serve as biomarkers for monitoring behavioral problems and be potential therapeutic targets for mental disorders in adolescents.

Disordered Sleep in Adolescents Recovering From Surgery

BACKGROUND AND OBJECTIVES

Sleep is essential for postoperative recovery. Prescription opioid can be associated with disordered sleep. There is little research on sleep patterns among adolescents using opioids for postoperative pain. Our objective was to identify factors associated with disordered sleep among adolescents undergoing surgery.

METHODS

Prospective single-center survey-based cohort study of adolescents (13-20y) undergoing eight surgeries commonly associated with an opioid prescription. Participants completed a preoperative survey measuring clinical, mental health, and sociodemographic factors, and postoperative surveys at 30- and 90-days. All surveys administered the Sleep Problems Questionnaire. Repeated measures logistic regression evaluated the impact of surgery on worsening postoperative sleep scores. Linear change model evaluated sleep score trajectories; Poisson regression identified the impact of preoperative disordered sleep on opioid use.

RESULTS

Overall, 167 adolescents (median 15y, 64% female) were included. Twenty-seven (16.2%) reported disordered sleep preoperatively and 41 (24.6%) postoperatively. Prescription opioid use was not associated with development of disordered sleep postoperatively (OR:1.33; 95% CI:0.38-4.68). Adolescents were 2.20 (95% CI:1.42-3.40) times more likely to report disordered sleep postoperatively. Preoperative disordered sleep, time after surgery, and mental health comorbidities were associated with worsening postoperative sleep score trajectories (p < 0.01). Adolescents with preoperative disordered sleep were not more likely to use opioids (OR:2.56, 95% CI:0.76-8.63, p = 0.13) nor did they use more pills (IRR:0.84, 95% CI:0.62-1.15, p = 0.27).

CONCLUSIONS

Adolescents were more likely to report disordered sleep postoperatively. Preoperative disordered sleep and mental health comorbidities, but not prescription opioid use, were associated with worsening sleep after surgery. Future efforts to improve adolescent postoperative sleep should address baseline disordered sleep and mental health comorbidities.

LEVEL OF EVIDENCE

Level II.

TYPE OF STUDY

Prospective cohort study.

Psychometric adaptation of the Spanish version of the Brief Pittsburgh Sleep Quality Index in adolescents

OBJECTIVE

Good sleep quality is essential for adolescent health, yet sleep difficulties persist in this age group. The 6-item Brief Pittsburgh Sleep Quality Index (B-PSQI) was recently developed to improve sleep quality assessment, however, its validity in adolescents remains unexplored. This study examined the B-PSQI's psychometric properties in Spanish adolescents and adapted the scoring method to age-specific sleep recommendations.

METHODS

A cross-sectional study involving 1,065 adolescents (15-17 years; 56.8% female) was conducted in public high schools. Sleep quality was measured using the B-PSQI, the Insomnia Severity Index (ISI), the short Patient-Reported Outcomes Measurement Information System (PROMIS), and the Epworth Sleepiness Scale (ESS). Additionally, depression and anxiety were assessed using the Depression, Anxiety, and Stress Scales. Reliability, validity, and measurement invariance were analyzed.

RESULTS

The B-PSQI global scores were 4.5 (SD = 1.9) for the original scoring method and 5.4 (SD = 2.8) for the age-adjusted. The age-adjusted B-PSQI showed satisfactory reliability (ω = 0.84) and concurrent, convergent, and discriminant validity (ISI rS = 0.67; PROMIS rS = 0.71; anxiety rS = 0.40; depression rS = 0.42; ESS rS = 0.29). Adequacy for one-factor structure (χ2(4) = 53.9; CFI = 0.97; TLI = 0.92; RMSEA = 0.108; SRMR = 0.05) and invariance across sexes were supported. Both B-PSQI scoring methods showed similar psychometric properties, but the original yielded a higher percentage of poor sleepers (43.1%; cutoff ≥5) than the age-adjusted version (41.9%; cutoff ≥6).

CONCLUSIONS

Findings suggest that the B-PSQI is a valid and reliable measure to assess adolescent sleep quality. Its scoring can be adjusted to provide age-specific criteria for good sleep. The B-PSQI has potential utility for screening sleep problems and facilitating overall health promotion in adolescents.

Sex differences in the association between social jetlag and hazardous alcohol consumption in Korean workers: A nationwide cross-sectional study

BACKGROUND

Social jetlag, the misalignment between biological and social rhythms, can lead to adverse health outcomes. This study explored the association between social jetlag and hazardous alcohol consumption, as well as the sex differences in this association.

METHODS

This study included a nationally representative sample of Korean workers consisting of 11,462 individuals (5479 women). Social jetlag was calculated as the difference in the mid-point between sleep onset and offset on free days and workdays. Hazardous alcohol consumption was determined using the Alcohol Use Disorder Identification Test-Consumption (range 0-12), with a cutoff of ≥6 for men, ≥5 for women, and ≥3 for those aged ≥65. Logistic regression analysis was used to estimate the odds ratios (ORs) and 95 % confidence intervals (CIs).

RESULTS

Among men, 599 out of 5983 individuals (10.0 %) had ≥120 min of social jetlag. Among women, 550 out of 5479 individuals (10.0 %) had ≥120 min of social jetlag. The prevalence of hazardous alcohol use was 56.2 % for men and 27.3 % for women. In the regression analysis, there was a significant sex interaction, where social jetlag ≥120 min was associated with hazardous alcohol consumption in female workers (OR: 1.52, 95 % CI: 1.18-1.96), but not in male workers (OR: 1.04, 95 % CI: 0.84-1.29).

CONCLUSION

High social jetlag was associated with an increased likelihood of hazardous alcohol consumption among women. Our findings underscore the importance of considering sex differences in future research and policy interventions regarding social jetlag and its associated behavior outcomes.

Sleep Problems and Health Outcomes Among Urban American Indian and Alaska Native Adolescents

Importance

Adolescent sleep problems are prevalent, particularly among racial and ethnic minority groups, and can increase morbidity. Despite the numerous strengths of their racial and ethnic group, urban American Indian and Alaska Native adolescents face significant health disparities but are rarely included in health research. Understanding how sleep problems are associated with health outcomes among American Indian and Alaska Native adolescents may elucidate novel targets for interventions to promote health equity.

Objective

To assess whether baseline sleep problems are associated with changes in behavioral and cardiometabolic health outcomes among urban American Indian and Alaska Native adolescents 2 years later.

Design, Setting, and Participants

American Indian and Alaska Native adolescents were recruited via flyers and community events for an observational cohort study in California. Baseline assessments were conducted among 142 adolescents from March 1, 2018, to March 31, 2020, and follow-ups were conducted among 114 adolescents from December 1, 2020, to June 30, 2022.

Exposures

Baseline actigraphy-assessed sleep duration and efficiency and self-reported sleep disturbances and social jet lag (absolute value of the difference in sleep midpoint on weekends vs weekdays; indicator of circadian misalignment).

Main Outcomes and Measures

Main outcome measures included self-reported depression (measured using the Patient Health Questionnaire), anxiety (measured using the Generalized Anxiety Disorder 7-item scale), past year alcohol and cannabis use, body mass index, systolic blood pressure (SBP) and diastolic blood pressure (DBP), waist circumference, and glycosylated hemoglobin (HbA1c). Analyses examined whether baseline sleep was associated with health outcomes at follow-up, controlling for age, sex, and baseline outcome measures.

Results

The baseline sample included 142 urban American Indian and Alaska Native adolescents (mean [SD] age, 14.0 [1.4] years; 84 girls [59%]), 80% of whom (n = 114; mean [SD] age, 14.1 [1.3] years; 71 girls [62%]) completed follow-ups. Linear or logistic regressions showed significant negative associations between shorter sleep duration and depression (β = -1.21 [95% CI, -2.19 to -0.24]), anxiety (β = -0.89 [95% CI, -1.76 to -0.03]), DBP (β = -2.03 [95% CI, -3.79 to -0.28]), and HbA1c level (β = -0.15 [95% CI, -0.26 to -0.04]) and likelihood of alcohol (odds ratio [OR], 0.57 [95% CI, 0.36-0.91]) and cannabis use (full week: OR, 0.59 [95% CI, 0.35-0.99]) at follow-up. Greater social jet lag was associated with significantly higher SBP (β = 0.06 [95% CI, 0.01-0.11]) at follow-up.

Conclusions and Relevance

This cohort study found significant associations between poor sleep and adverse changes in health outcomes. Findings highlight the importance of developing culturally responsive interventions that target sleep as a key modifiable risk factor to improve the health of American Indian and Alaska Native adolescents.

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults

This study examined day-level associations between trouble sleeping and three cannabis-use indices (likelihood/quantity of use and impaired control). We evaluated behavioral and cognitive mediators of the association between trouble sleeping and cannabis outcomes. Youth (N = 86, ages 15-24, 48.8% female, 58.8% White, 18.6% Latine) who regularly used cannabis were recruited for an intervention study. This preregistered secondary data analysis leveraged data from a 1-week ecological momentary assessment (EMA) study completed prior to intervention. Trouble sleeping, cannabis use, and impaired control over use were assessed each morning; negative affect, risk-taking propensity, and cannabis craving were assessed multiple times and aggregated to create a daily average. Multilevel structural equation modeling evaluated hypothesized temporally sequenced associations and putative mechanisms at the day (i.e., within) and person (i.e., between) level. In bivariate analyses at the person level, there were large-effect associations between trouble sleeping and craving and negative affect, and between craving and cannabis-use likelihood and quantity (rs from .34 to .48). In multilevel analyses at the day level, participants were less likely to use cannabis the next day after reporting more trouble sleeping (β = -.65, p < .001). Trouble sleeping was not directly associated with subsequent cannabis-use quantity or impaired control, or indirectly via negative affect, risk-taking propensity, or craving. Trouble sleeping had differential relations with cannabis-use indices at the day and person levels. To promote youth health and reduce cannabis use, future research may consider the unique, person- and situation-driven mechanistic processes at play. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Adolescent chronic sleep restriction promotes alcohol drinking in adulthood: evidence from epidemiological and preclinical data

Epidemiological investigations have indicated that insufficient sleep is prevalent among adolescents, posing a globally underestimated health risk. Sleep fragmentation and sleep loss during adolescence have been linked to concurrent emotional dysregulation and an increase in impulsive, risk-taking behaviors, including a higher likelihood of substance abuse. Among the most widely used substances, alcohol stands as the primary risk factor for deaths and disability among individuals aged 15-49 worldwide. While the association between sleep loss and alcohol consumption during adolescence is well documented, the extent to which prior exposure to sleep loss in adolescence contributes to heightened alcohol use later in adulthood remains less clearly delineated. Here, we analyzed longitudinal epidemiological data spanning 9 years, from adolescence to adulthood, including 5497 participants of the Avon Longitudinal Study of Parents And Children cohort. Sleep and alcohol measures collected from interviews and questionnaires at 15 and 24 years of age were analyzed with multivariable linear regression and a cross-lagged autoregressive path model. Additionally, we employed a controlled preclinical experimental setting to investigate the causal relationship underlying the associations found in the human study and to assess comorbid behavioral alterations. Preclinical data were collected by sleep restricting Marchigian Sardinian alcohol preferring rats (msP, n=40) during adolescence and measuring voluntary alcohol drinking concurrently and in adulthood. Polysomnography was used to validate the efficacy of the sleep restriction procedure. Behavioral tests were used to assess anxiety, risky behavior, and despair. In humans, after adjusting for covariates, we found a cross-sectional association between all sleep parameters and alcohol consumption at 15 years of age but not at 24 years. Notably, alcohol consumption (Alcohol Use Disorder Identification Test for Consumption) at 24 years was predicted by insufficient sleep at 15 years whilst alcohol drinking at 15 years could not predict sleep problems at 24. In msP rats, adolescent chronic sleep restriction escalated alcohol consumption and led to increased propensity for risk-taking behavior in adolescence and adulthood. Our findings demonstrate that adolescent insufficient sleep causally contributes to higher adult alcohol consumption, potentially by promoting risky behavior.

Changes in rest-activity rhythms in adolescents as they age: associations with brain changes and behavior in the ABCD study

Background

Adolescents with disrupted rest-activity rhythms (RAR) including shorter sleep duration, later sleep timing and low physical activity levels have higher risk for mental and behavioral problems. However, it remains unclear whether the same associations can be observed for within-subject changes in RAR.

Methods

Our longitudinal investigation on RAR used Fitbit data from the Adolescent Brain Cognitive Development (ABCD) Study at the 2-year (FL2: aged 10-13 years) and 4-year follow-up (FL4: aged 13-16 years). 963 youths had good-quality Fitbit data at both time points. In this study we examined changes in RAR from FL2 to FL4, their environmental and demographic contributors as well as brain and behavioral correlates.

Results

From FL2 to FL4, adolescents showed decreases in sleep duration and physical activity as well as delayed sleep timing (Cohen's d .44-.75). The contributions of environmental and demographic factors to RAR changes were greatest to sleep timing (explained 10% variance) and least to sleep duration (explained 1% variance). Delays in sleep timing had stronger correlations with behavioral problems including greater impulsivity and poor academic performance than reductions in sleep duration or physical activity. Additionally, the various brain measures differed in their sensitivity to RAR changes. Reductions in sleep duration were associated with decreased brain functional connectivity between subcortical regions and sensorimotor and cingulo-opercular networks and with enhanced functional connectivity between sensorimotor, visual and auditory networks. Delays in sleep timing were mainly associated with grey matter changes in subcortical regions.

Conclusions

The current findings corroborate the role of sleep and physical activity in adolescent's brain neurodevelopment and behavior problems. RAR might serve as biomarkers for monitoring behavioral problems in adolescents and to serve as potential therapeutic targets for mental disorders.

Do sleep and circadian characteristics predict alcohol use in adult drinkers?

BACKGROUND

While sleep and circadian rhythms are recognized contributors to the risk for alcohol use and related problems, few studies have examined whether objective sleep and circadian measures can predict future alcohol use in humans, and no such studies have been conducted in adults. This study examined whether any baseline sleep and/or circadian characteristics of otherwise healthy adults predicted their alcohol use over the subsequent 12 months.

METHODS

Participants (21-42 years) included 28 light and 50 heavy drinkers. At baseline, a comprehensive range of self-reported and objective sleep/circadian measures was assessed via questionnaires, wrist actigraphy, and measurement of dim light melatonin onset and circadian photoreceptor responsivity. Following this, the number of alcoholic drinks per week and binge drinking episodes per month were assessed quarterly over the subsequent 12 months. Anticipated effects of alcohol (stimulation, sedation, and rewarding aspects) were also assessed quarterly over the 12 months. Analyses included generalized linear mixed-effects models and causal mediation analysis.

RESULTS

Across the range of measures, only self-reported insomnia symptoms and a longer total sleep time at baseline predicted more drinks per week and binges per month (ps <0.02). There was a trend for the anticipated alcohol effect of wanting more alcohol at the 6-month timepoint to mediate the relationship between insomnia symptoms at baseline and drinks per week at 12 months (p = 0.069).

CONCLUSIONS

These results suggest that in otherwise healthy adults, insomnia symptoms, even if subclinical, are a significant predictor of future drinking, and appear to outweigh the influence of circadian factors on future drinking, at least in otherwise healthy adults. Insomnia symptoms may be a modifiable target for reducing the risk of alcohol misuse.

Sleep-Related Predictors of Risk for Alcohol Use and Related Problems in Adolescents and Young Adults

PURPOSE

Growing evidence supports sleep and circadian rhythms as influencing alcohol use and the course of alcohol use disorder (AUD). Studying sleep/circadian-alcohol associations during adolescence and young adulthood may be valuable for identifying sleep/circadian-related approaches to preventing and/or treating AUD. This paper reviews current evidence for prospective associations between sleep/circadian factors and alcohol involvement during adolescence and young adulthood with an emphasis on the effects of sleep/circadian factors on alcohol use.

SEARCH METHODS

The authors conducted a literature search in PsycInfo, PubMed, and Web of Science using the search terms "sleep" and "alcohol" paired with "adolescent" or "adolescence" or "young adult" or "emerging adult," focusing on the title/abstract fields, and restricting to English-language articles. Next, the search was narrowed to articles with a prospective/longitudinal or experimental design, a sleep-related measure as a predictor, an alcohol-related measure as an outcome, and confirming a primarily adolescent and/or young adult sample. This step was completed by a joint review of candidate article abstracts by two of the authors.

SEARCH RESULTS

The initial search resulted in 720 articles. After review of the abstracts, the list was narrowed to 27 articles reporting on observational longitudinal studies and three articles reporting on intervention trials. Noted for potential inclusion were 35 additional articles that reported on studies with alcohol-related predictors and sleep-related outcomes, and/or reported on candidate moderators or mediators of sleep-alcohol associations. Additional articles were identified via review of relevant article reference lists and prior exposure based on the authors' previous work in this area.

DISCUSSION AND CONCLUSIONS

Overall, the review supports a range of sleep/circadian characteristics during adolescence and young adulthood predicting the development of alcohol use and/or alcohol-related problems. Although sleep treatment studies in adolescents and young adults engaging in regular and/or heavy drinking show that sleep can be improved in those individuals, as well as potentially reducing alcohol craving and alcohol-related consequences, no studies in any age group have yet demonstrated that improving sleep reduces drinking behavior. Notable limitations include relatively few longitudinal studies and only two experimental studies, insufficient consideration of different assessment timescales (e.g., day-to-day vs. years), insufficient consideration of the multidimensional nature of sleep, a paucity of objective measures of sleep and circadian rhythms, and insufficient consideration of how demographic variables may influence sleep/circadian-alcohol associations. Examining such moderators, particularly those related to minoritized identities, as well as further investigation of putative mechanistic pathways linking sleep/circadian characteristics to alcohol outcomes, are important next steps.

Pre-pandemic circadian phase predicts pandemic alcohol use among adolescents

Later circadian timing during adolescence is linked to worse sleep, more severe depression and greater alcohol involvement, perhaps due to circadian misalignment imposed by early school schedules. School schedules shifted later during the COVID-19 pandemic, ostensibly reducing circadian misalignment and potentially mitigating problems with depression and alcohol. We used the pandemic as a natural experiment to test whether adolescent drinkers with later circadian timing showed improvements in sleep, depression and alcohol involvement. Participants were 42 adolescents reporting alcohol use. We assessed circadian phase via dim light melatonin onset prior to the pandemic, then conducted remote assessments of sleep, depressive symptoms and alcohol use during the pandemic. Mixed-effects models were used to test for pandemic effects, covarying for age, sex, time since baseline evaluation, and current school/work status. Adolescents with later circadian timing reported less sleep than other teens on school nights, both before and during the pandemic. Although school night sleep increased during the pandemic (F = 28.36, p < 0.001), those increases were not greater for individuals with later circadian timing. Individuals with later circadian timing reported larger increases in alcohol use than other teens during the pandemic (X2  = 36.03, p < 0.001). Depressive symptoms increased during the pandemic (X2  = 46.51, p < 0.001) but did not differ based on circadian timing. Consistent with prior reports, adolescents with later circadian timing obtained less sleep, and later school schedules facilitated increased sleep duration. Nonetheless, individuals with later circadian timing reported the sharpest increases in alcohol use, suggesting that circadian timing contributes to risk for alcohol use beyond the effects of insufficient sleep.

Sleep and mental health among youth experiencing homelessness: A retrospective pilot diary study

OBJECTIVES

The goal of this study was to describe the nightly sleep conditions of youth experiencing homelessness, and examine the association between sleep and mental health, both cross-sectionally and using diary data.

METHODS

n = 147 youth (ages 16-24) experiencing homelessness completed a baseline survey assessing self-reported sleep and depressive and anxious symptoms. A subsample of n = 49 completed a follow-up 7-day diary study measuring nightly sleep conditions and daily depressive and somatic symptoms.

RESULTS

According to baseline data, the majority of the sample (71%) reported sleeping less than 7 hours per night on average, and feeling like they did not get adequate sleep, especially among youth identifying as LGBTQ. In a qualitative follow-up question, the plurality attributed poor sleep to mental health woes. Cross-sectionally, youth with lower levels of self-reported sleep quality (more daytime fatigue and insomnia) reported higher levels of depressive and anxious symptoms. The diary data indicated that the most common nightly complaints among shelter utilizers are lack of privacy, noise, and uncomfortable temperatures. Multilevel models suggest that poor sleep conditions predicted higher levels of somatic symptoms the following day, after controlling for baseline levels of depressive and anxious symptoms.

CONCLUSIONS

This study highlights the role environmental context plays in sleep health and its subsequent impacts. Individuals experiencing homelessness lack autonomy over their sleeping environments, and thus cannot make adjustments such as reducing disruptions such as noise, temperature, and light. Importantly, these less-than-ideal sleeping conditions contribute to pre-existing health disparities and may have long-term implications.

Bidirectional Associations Between Daily Sleep and Wake Behaviors in Urban American Indian/Alaska Native Youth

PURPOSE

This is the first study to examine daily, bidirectional associations between sleep and wake behaviors/mood in urban American Indian/Alaska Native (AI/AN) adolescents.

METHODS

Participants were 142 urban AI/AN adolescents (mean age = 14 years, 58% female). Sleep was measured with actigraphy (total sleep time [TST] and sleep efficiency) and daily diary (bedtime, wakeup time, and sleep quality) over seven consecutive days. Wake behaviors (caffeine consumption, physical activity, participation in cultural activities, and electronic use after 8p.m.) and mood upon awakening (higher rating indicates greater happiness) were measured via daily diary for seven consecutive days. Multilevel models examined the degree to which nightly sleep predicted next day's wake behaviors and, conversely, wake behaviors and mood predicted nightly sleep, controlling for age, gender, and weekday/weekend.

RESULTS

Earlier bedtime and wakeup times predicted greater participation in physical activity the following day. Later bedtime and wakeup time, worse sleep quality, and shorter TST predicted greater electronic use the following night. Earlier bedtime and wakeup time and better sleep quality predicted higher mood ratings. Conversely, greater caffeine consumption during the day predicted both later bedtime and wakeup time. Participation in cultural activities is predicted later bedtime. More nighttime electronic use predicted both later bedtime and wakeup time, poorer sleep quality, and worse TST and sleep efficiency. Higher mood ratings in the morning predicted earlier bedtime and later wakeup time.

DISCUSSION

Findings highlight dynamic associations between sleep and wake behaviors and mood in AI/AN adolescents and may elucidate novel pathways for intervention and future research.

Associations between social jetlag trajectories and body mass index among young adults

STUDY OBJECTIVES

This study employed longitudinal data collected repeatedly from individuals over the course of several years to examine the trajectories of social jetlag from ages 11 to 22 years and their associations with subsequent body mass index (BMI). Potential sex differences were also investigated.

METHODS

Data were obtained from two longitudinal studies conducted in Taiwan (N = 4287). Social jetlag was defined as ≥ 2 hours of absolute difference in sleep midpoint between weekdays and weekends. BMI was calculated using weight (kg)/height(m)2 and categorized as underweight (<18 kg/m2), normal weight (18 kg/m2 ≤ BMI < 24 kg/m2), overweight (24 kg/m2 ≤ BMI < 27 kg/m2), and obese (≥27 kg/m2). Group-based trajectory modeling and multinomial logistic regression were applied to investigate study objectives.

RESULTS

Four distinct trajectories of social jetlag throughout the adolescent years were identified, with corresponding proportions as follows: low-stable (42%), moderate-decreasing (19%), low-increasing (22%), and chronic (17%) trajectories. Among males, the risk of being underweight (aOR, 1.96; 95% CI: 1.35 to 2.84) or obese (aOR, 1.40; 95% CI: 1.02 to 1.92) was higher in individuals with a low-increasing trajectory than in those with a low-stable trajectory. Among females, those with a low-increasing (aOR, 1.61; 95% CI: 1.02 to 2.54) or chronic (aOR, 2.04; 95% CI: 1.27 to 3.25) trajectory were at a higher risk of being obese relative to those with a low-stable trajectory.

CONCLUSIONS

Addressing the development of increasing or chronic social jetlag during adolescence can help prevent abnormal BMI in young adulthood. Practitioners should consider sex differences in treatment or consultation.

Mapping insomnia symptoms and circadian preferences to mental health problems in men and women across the lifespan

This study identified subgroups in the general population based on combinations in three night-time insomnia symptoms and four dimensions of circadian preferences ("sleep profiles") and investigated the associations between sleep profiles and nine common mental health problems. The data came from the Lifelines cohort add-on study "Comorbid Conditions of ADHD" and included 37,716 individuals (aged 4-91 years) from the Dutch general population who completed a digital survey. Latent profile analysis was used to identify sleep profiles in twelve age-sex subgroups. Linear regression was used to investigate whether sleep profiles differ in mental health problems. Participants were classified into three sleep profiles: "Healthy Larks", who had early circadian preferences and no insomnia symptoms; "Sleepy Owls" with late circadian preferences and nonrestorative sleep; and "Sleepless Doves" with intermediate circadian preferences and severe insomnia symptoms. Compared to "Healthy Larks", all mental health problems were significantly more severe in "Sleepy Owls" and even worse in "Sleepless Doves". These associations were similar in men and women but weakened with age. However, "Sleepy Owls" and "Sleepless Doves" did not differ in heavy alcohol drinking, drug use, and smoking. Our findings strengthened the evidence for the universal role of healthy sleep in mental wellbeing.

Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults

BACKGROUND

The association of evening chronotype with cardiometabolic disease has been well established. However, the extent to which circadian rhythm disturbances independently result in risk remains unclear. This study aimed to investigate the cross-sectional and prospective longitudinal associations between chronotype and cardiometabolic risk among Chinese young adults.

METHODS

From April to May 2019, a total of 1 135 young adults were selected to complete the self-administered questionnaire, and 744 fasting blood samples were collected to quantify cardiometabolic parameters. From April to May 2021, 340 fasting blood samples were collected to quantify cardiometabolic parameters. The Morning and Evening Questionnaire 5 (MEQ-5) was used to assess chronotype. The cardiometabolic (CM)-risk score was the sum of standardized Z scores based on gender for the 5 indicators: waist circumference (WC), mean arterial pressure (MAP), triglyceride (TG), homeostasis model assessment for insulin resistance (HOMA-IR), and high-density lipoprotein cholesterol (HDL-C), where the HDL-C is multiplied by-1. The generalized linear model was used to determine the cross-sectional and prospective longitudinal associations between chronotype and each cardiometabolic parameter.

RESULTS

Cross-sectional association analysis showed that lower MEQ-5 scores were correlated with higher fasting insulin (β=-1.420, 95%CI: -2.386~-0.453), higher HOMA-IR (β=-0.301, 95%CI: -0.507~-0.095), and higher CM risk score (β=-0.063, 95%CI: -0.122~-0.003), even after adjustment for covariates. Prospective longitudinal association analysis also showed that lower MEQ-5 scores were associated with 2 years later higher fasting glucose (β=-0.018, 95%CI: -0.034~-0.003), higher fasting insulin (β=-0.384, 95%CI: -0.766~-0.003), higher HOMA-IR (β=-0.089, 95%CI: -0.176~-0.002), and higher CM-risk score (β=-0.109, 95%CI: -0.214~-0.003) after adjustment for covariates.

CONCLUSIONS

Evening chronotype was significantly correlated with higher CM risk among young adults. Our findings suggest that biologically and socially affected sleep timing misalignment is a contributing factor to cardiovascular disease risk.

A systematic review and meta-analysis of the association between young adults' sleep habits and substance use, with a focus on self-medication behaviours

Young adults (18-30 years) are vulnerable to sleep-wake disturbances and substance use, which are bi-directionally associated. The present work aims to organise the literature that deals with the association between sleep and substance use in young adults, also considering self-medication behaviours. We adopted a framework that accounts for the multidimensionality of sleep and the effect of different substances. We considered sleep disturbances (insomnia symptoms, sleep quality), sleep health dimensions (duration, satisfaction, efficiency, timing, daytime alertness), circadian characteristics (chronotype). Substances were alcohol, caffeine, nicotine, cannabis, others. We included 46 studies. The use of caffeine and nicotine was associated with higher odds of sleep disturbances. No significant effect was detected for sleep duration. In narrative findings, daytime dysfunction was associated with alcohol and caffeine use, and poor sleep satisfaction with nicotine use. Few evidence were available for the other sleep health dimensions. Evening chronotype was associated with alcohol, caffeine, and nicotine use. Few studies focused on cannabis or self-medication. Longitudinal results were inconclusive. We found a distinct pattern of associations between different substances and different sleep outcomes. Further investigation considering the multidimensionality of sleep would create a better understanding of the complex relationship between substance use and sleep health in young adults.

Study of the association between cannabis use and sleep disturbances in a large sample of University students

Sleep complaints and cannabis use are common among University students and are related to detrimental effects on health. The aim of this study was to explore their association. This cross-sectional study based on the i-Share e-cohort included French students between 18 and 30 years old (n = 14,787). Frequency of cannabis use was categorized into daily, weekly, monthly, and never/rarely use. Sleep complaints were defined using four items (i.e., insomnia, sleepiness, poor sleep quality, and sleep deprivation). In the whole sample (mean age: 20.4 years, 75.5% of females), 22.7% had insomnia, 18.3% had sleepiness, 22.4% had poor sleep quality, 52.5% had sleep deprivation, and 5.8% used cannabis weekly or daily. After adjustment, the likelihood of insomnia was significantly higher by 45% in cannabis users compared to non-users. The estimates steadily increased with frequency of use, reaching a 2.0-fold higher likelihood of insomnia in daily users compared to never/rarely users. Results were similar for the other sleep complaints. These findings provide support for an association between cannabis use and sleep complaints, particularly insomnia, among University students. Though direction and causality cannot be established in this setting, these results suggest warning students and health professionals about the association between cannabis use and sleep complaints.

Metabotropic glutamate receptor function and regulation of sleep-wake cycles

Metabotropic glutamate (mGlu) receptors are the most abundant family of G-protein coupled receptors and are widely expressed throughout the central nervous system (CNS). Alterations in glutamate homeostasis, including dysregulations in mGlu receptor function, have been indicated as key contributors to multiple CNS disorders. Fluctuations in mGlu receptor expression and function also occur across diurnal sleep-wake cycles. Sleep disturbances including insomnia are frequently comorbid with neuropsychiatric, neurodevelopmental, and neurodegenerative conditions. These often precede behavioral symptoms and/or correlate with symptom severity and relapse. Chronic sleep disturbances may also be a consequence of primary symptom progression and can exacerbate neurodegeneration in disorders including Alzheimer's disease (AD). Thus, there is a bidirectional relationship between sleep disturbances and CNS disorders; disrupted sleep may serve as both a cause and a consequence of the disorder. Importantly, comorbid sleep disturbances are rarely a direct target of primary pharmacological treatments for neuropsychiatric disorders even though improving sleep can positively impact other symptom clusters. This chapter details known roles of mGlu receptor subtypes in both sleep-wake regulation and CNS disorders focusing on schizophrenia, major depressive disorder, post-traumatic stress disorder, AD, and substance use disorder (cocaine and opioid). In this chapter, preclinical electrophysiological, genetic, and pharmacological studies are described, and, when possible, human genetic, imaging, and post-mortem studies are also discussed. In addition to reviewing the important relationships between sleep, mGlu receptors, and CNS disorders, this chapter highlights the development of selective mGlu receptor ligands that hold promise for improving both primary symptoms and sleep disturbances.

A latent class approach to understanding longitudinal sleep health and the association with alcohol and cannabis use during late adolescence and emerging adulthood

OBJECTIVE

Sleep is a multi-dimensional health behavior associated with elevated risk of substance use. This is the first study to utilize a latent class approach to characterize sleep health across multiple dimensions and across time from late adolescence to emerging adulthood, and to examine associations with alcohol and cannabis use trajectories.

METHODS

The sample included 2995 emerging adults (mean ages = 18 to 24 years across six waves of data collection; 54% female) who provided data on sleep dimensions (quality, duration, and social jetlag) and frequency and consequences of alcohol and cannabis use. Longitudinal latent class analysis (LLCA) models characterized participants according to the three sleep dimensions. Latent growth models examined trajectories of frequency and consequences of alcohol or cannabis use over time among emergent sleep classes, with and without controlling for covariates.

RESULTS

LLCA models identified four sleep classes: good sleepers (n = 451; 15.2%); untroubled poor sleepers (n = 1024; 34.2%); troubled, moderately good sleepers (n = 1056; 35.3%); and suboptimal sleepers (n = 460; 15.4%). Good sleepers reported significantly lower levels of alcohol or cannabis use and consequences, and less of an increase in alcohol consequences as compared to suboptimal sleepers.

CONCLUSIONS

Persistent poor sleep health was associated with higher levels of alcohol and cannabis use and consequences, and greater increases in alcohol-related consequences during the transition from late adolescence to emerging adulthood. Findings have important clinical implications, highlighting that addressing multi-dimensional sleep health may be an important, novel target of intervention to reduce substance use frequency and consequences.

Prospective associations between sleep disturbances and cannabis use among Veterans: A behavioral economic approach

BACKGROUND

Veterans often use cannabis for sleep despite limited evidence of its efficacy. Moreover, how sleep disturbances impact cannabis use longitudinally is unclear. We applied a behavioral economic framework to examine whether sleep disturbances and cannabis demand (i.e., relative value) were related risk-factors for future cannabis use and problems.

METHODS

Veterans deployed post-9/11/2001 who reported past 6-month cannabis use at baseline (n = 126) completed surveys on their sleep disturbances, demand via the Marijuana Purchase Task (MPT), and cannabis use. Mediation analyses using Hayes' PROCESS Macro and zero-inflated negative binomial models tested indirect effects of baseline sleep disturbances on 12-month cannabis use frequency, quantity, and problems via 6-month cannabis demand (i.e., intensity, Omax, Pmax, and breakpoint).

RESULTS

Only Omax (i.e., maximum expenditure for cannabis) was a significant mediator for 12-month cannabis use quantity and problems when examined concurrently with other demand indices after controlling for covariates. Intensity (i.e., purchase at zero cost) was a significant mediator for 12-month cannabis use frequency when examined concurrently with other demand indices in models controlling for lifetime cannabis use, but not past 30-day use at baseline.

CONCLUSION

Cannabis demand, specifically intensity and Omax, may help to identify Veterans with sleep disturbances who are at increased risk for escalating their cannabis use. Subsequent research should assess the extent that sleep disturbances impact cannabis demand in the context of withdrawal, which will inform novel prevention and intervention strategies geared toward reducing negative cannabis-related outcomes among Veterans.

Self-reported sleep and circadian characteristics predict alcohol and cannabis use: A longitudinal analysis of the National Consortium on Alcohol and Neurodevelopment in Adolescence Study

BACKGROUND

Growing evidence indicates that sleep characteristics predict future substance use and related problems. However, most prior studies assessed a limited range of sleep characteristics, studied a narrow age span, and included few follow-up assessments. Here, we used six annual assessments from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study, which spans adolescence and young adulthood with an accelerated longitudinal design, to examine whether multiple sleep characteristics in any year predict alcohol and cannabis use the following year.

METHODS

The sample included 831 NCANDA participants (423 females; baseline age 12-21 years). Sleep variables included circadian preference, sleep quality, daytime sleepiness, the timing of midsleep (weekday/weekend), and sleep duration (weekday/weekend). Using generalized linear mixed models (logistic for cannabis; ordinal for binge severity), we tested whether each repeatedly measured sleep characteristic (years 0-4) predicted substance use (alcohol binge severity or cannabis use) the following year (years 1-5), covarying for age, sex, race, visit, parental education, and previous year's substance use.

RESULTS

Greater eveningness, more daytime sleepiness, later weekend sleep timing, and shorter sleep duration (weekday/weekend) all predicted more severe alcohol binge drinking the following year. Only greater eveningness predicted a greater likelihood of any cannabis use the following year. Post-hoc stratified exploratory analyses indicated that some associations (e.g., greater eveningness and shorter weekend sleep duration) predicted binge severity only in female participants, and that middle/high school versus post-high school adolescents were more vulnerable to sleep-related risk for cannabis use.

CONCLUSIONS

Our findings support the relevance of multiple sleep/circadian characteristics in the risk for future alcohol binge severity and cannabis use. Preliminary findings suggest that these risk factors vary based on developmental stage and sex. Results underscore a need for greater attention to sleep/circadian characteristics as potential risk factors for substance use in youth and may inform new avenues to prevention and intervention.

Anxiety-Induced Sleep Disturbance and Associated Lifestyle Behaviors According to Sex in Argentine Adolescents

Purpose

The aim of the current study was twofold: first, to determine the prevalence of anxiety-induced sleep disturbances among Argentine adolescents according to sex, and second, to identify the association between these sleep disturbances and lifestyle behaviors in this population.

Methods

This is a cross-sectional study with data from the Global School-based Student Health Survey (GSHS) in Argentina (2018). A total of 32,393 adolescents (aged 12–17 years; 53.4% girls) were included in the final analysis. Anxiety-induced sleep disturbances were assessed with the question “During the past 12 months, how often have you been so worried about something that you could not sleep at night?”

Results

The prevalence of anxiety-induced sleep disturbances was higher in girls (17.4%) than in boys (7.9%) (p < 0.001). In boys, results indicated that those who used marijuana (cannabis) (odds ratio [OR] = 1.46, 95% confidence interval [CI] 1.08–1.98), used amphetamine or methamphetamine (OR = 2.19, 95% CI 1.28–3.77), walked or biked to or from school (OR = 1.53, 95% CI 1.19–1.96), and spent 3 h or more in sedentary behaviors (OR = 1.35, 95% CI 1.05–1.74) were more likely to report anxiety-induced sleep disturbances. In girls, those who ate from a fast-food restaurant (OR = 1.24, 95% CI 1.05–1.47), consumed alcoholic beverages (OR = 1.45, 95% CI 1.19–1.75), smoked cigarettes (OR = 2.09, 95%CI 1.05–4.14), consumed any tobacco product (OR = 1.47, 95% CI 1.19–1.82), used amphetamine or methamphetamine (OR = 2.08, 95% CI 1.33–3.26), and those who spent 3 h or more in sedentary behaviors (OR = 1.32, 95% CI 1.11–1.57) were more likely to report frequent anxiety-induced sleep disturbances.

Conclusion

In conclusion, considerable sex differences were observed with respect to the prevalence of anxiety-related sleep disturbances and associated lifestyle aspects.

Preliminary Evidence That Circadian Alignment Predicts Neural Response to Monetary Reward in Late Adolescent Drinkers

BACKGROUND

Robust evidence links sleep and circadian rhythm disturbances to alcohol use and alcohol-related problems, with a growing literature implicating reward-related mechanisms. However, the extant literature has been limited by cross-sectional designs, self-report or behavioral proxies for circadian timing, and samples without substantive alcohol use. Here, we employed objective measures of sleep and circadian rhythms, and an intensive prospective design, to assess whether circadian alignment predicts the neural response to reward in a sample of late adolescents reporting regular alcohol use.

METHODS

Participants included 31 late adolescents (18-22 y/o; 19 female participants) reporting weekly alcohol use. Participants completed a 14-day protocol including pre- and post-weekend (Thursday and Sunday) circadian phase assessments via the dim light melatonin onset (DLMO), in counterbalanced order. Sleep-wake timing was assessed via actigraphy. Circadian alignment was operationalized as the DLMO-midsleep interval; secondary analyses considered social jet lag based on weekday-weekend differences in midsleep or DLMO. Neural response to reward (anticipation and outcome) was assessed via a monetary reward fMRI task (Friday and Monday scans). Alcohol use was assessed at baseline and via ecological momentary assessment. Mean BOLD signal was extracted from two regions-of-interest (striatum and medial prefrontal cortex, mPFC) for analyses in regression models, accounting for age, sex, racial identity, and scan order.

RESULTS

In primary analyses, shorter DLMO-midsleep intervals (i.e., greater misalignment) on Thursday predicted lower striatal and mPFC responses to anticipated reward, but not reward outcome, on Friday. Lower neural (striatum and mPFC) responses to anticipated reward on Friday correlated with more binge-drinking episodes at baseline, but were not associated with alcohol use in the post-scan weekend. In secondary analyses, greater social jet lag (particularly larger weekend delays in midsleep or DLMO) was associated with lower neural responses to reward anticipation on Monday.

CONCLUSION

Findings provide preliminary evidence of proximal associations between objectively determined circadian alignment and the neural response to anticipated monetary reward, which is linked in turn to patterns of problematic drinking. Replication in a larger sample and experimental designs will be important next steps to determining the extent to which circadian misalignment influences risk for alcohol involvement via alterations in reward function.