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Both human immunodeficiency virus (HIV) infection and alcohol use predispose to autonomic/sensory neuropathy, imbalance symptoms, and cognitive impairment-conditions associated with a greater risk of falls-yet it is unclear how to identify people with HIV (PWH) whose drinking is associated with falls. Research on alcohol and falls using the same instruments in different countries could help to specify the level of alcohol use associated with fall risk. We examined whether a consumption-based measure (the Alcohol Use Disorders Identification Test-Consumption [AUDIT-C]) and/or a symptom-based measure (DSM-5 criteria for alcohol use disorder [AUD]) are associated with sustaining a fall among PWH in St Petersburg, Russia and Boston, Massachusetts in the United States.Separate multivariate logistic regressions were used for each cohort to examine cross-sectional associations for each alcohol measure predicting fall. Potential confounders included physical functioning, depressive symptoms, and other substance use (measured with the Addiction Severity Index).A fall was reported by 35% (87/251) of the sample in Boston and 12% (46/400) in St Petersburg. Each additional AUD criterion-but not higher AUDIT-C score-was significantly associated with a fall in both Boston (odds ratio [OR] = 1.10; 95% confidence interval [CI] 1.02, 1.18) and St Petersburg (adjusted OR AOR = 1.10; 95% CI 1.02, 1.18). Heavy alcohol use (6 drinks/occasion, any vs. none) was associated with more than twice the odds of a fall (AOR = 2.24; 95% CI 1.21, 4.13) in Boston.These findings suggest that while fall risk may vary by setting and population, heavy alcohol use and AUD symptom severity are potential targets for interventions to prevent falls. Studies in diverse global settings advance our understanding of the relationship between alcohol and falls in PWH.

Harnessing engagement in online searching and social media may provide complementary information for monitoring alcohol use, informing prevention and policy evaluation, and extending knowledge available from national surveys.Relative search volumes for 7 alcohol-related keywords were estimated from Google Trends (data, 2014-2017), and the proportion of alcohol use-related Twitter posts (data, 2014-2015) was estimated using natural language processing. Searching/posting measures were created for all 50 U.S. states plus Washington, D.C. Survey reports of alcohol use and summaries of state alcohol policies were obtained from the Behavioral Risk Factor Surveillance System (data, 2014-2016) and the Alcohol Policy Scale. In 2018-2019, associations among searching/posting measures and same state/year Behavioral Risk Factor Surveillance System reports of recent (past-30-day) alcohol use and maximum number of drinks consumed on an occasion were estimated using logistic and linear regression, adjusting for sociodemographics and Internet use, with moderation tested in regressions that included interactions of select searching/posting measures and the Alcohol Policy Scale.Recent alcohol use was reported by 52.93% of 1,297,168 Behavioral Risk Factor Surveillance System respondents, which was associated with all state-level searching/posting measures in unadjusted and adjusted models (p0.0001). Among drinkers, most searching/posting measures were associated with maximum number of drinks consumed (p0.0001). Associations varied with exposure to high versus low levels of state policy controls on alcohol.Strong associations were found among individual alcohol use and state-level alcohol-related searching/posting measures, which were moderated by the strength of state alcohol policies. Findings support using novel personally generated data to monitor alcohol use and possibly evaluate effects of alcohol control policies.

ObjectivesEvaluate construct validity of Patient-Reported Outcomes Measurement Information System (PROMIS) Paediatric measures of symptoms and functioning against measures of disease activity among youth with juvenile idiopathic arthritis (JIA) or systemic lupus erythematosus (SLE).DesignCross-sectional associations among PROMIS measures and clinical metrics of disease activity were estimated.SettingSeven clinical sites of the Childhood Arthritis and Rheumatology Alliance (CARRA) in the USA.ParticipantsYouth aged 8–17 years enrolled in the CARRA Registry.InterventionPROMIS measures were collected and associations with clinical measures of disease activity estimated, by condition, in bivariate and multivariable analyses with adjustment for sociodemographics, insurance status, medications and disease duration.Main outcome measuresPROMIS Paediatric measures of mobility, physical activity, fatigue, pain interference, family relationships, peer relationships, depressive symptoms, psychological stress, anxiety, and meaning and purpose, and clinical metrics of disease.ResultsAmong 451 youth (average age 13.8 years, 71% female), most (n=393, 87%) had a JIA diagnosis and the remainder (n=58, 13%) had SLE. Among participants with JIA, those with moderate/high compared with low/inactive disease had, on average, worse mobility (multivariable regression coefficient and 95% CIs) (−7.40; −9.30 to –5.50), fatigue (3.22; 1.02 to 5.42), pain interference (4.76; 3.04 to 6.48), peer relationships (−2.58; −4.52 to –1.64), depressive symptoms (3.00; 0.96 to 5.04), anxiety (2.48; 0.40 to 4.56) and psychological stress (2.52; 0.68 to 4.36). For SLE, youth with active versus inactive disease had on average worse mobility (−5.07; −10.15 to 0.01) but PROMIS Paediatric measures did not discriminate participants with active and inactive disease in adjusted analyses.ConclusionsSeven PROMIS Paediatric measures discriminated between active and inactive disease in youth with JIA. Results advance the usefulness of PROMIS for understanding well-being and improving interventions for youth with JIA, but larger studies are needed to determine utility in SLE cohorts.Trial registration numberNational Institute of Arthritis and Musculoskeletal and Skin Diseases (U19AR069522).

Background: We sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns. Method: We recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138). Results: Facebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media. Conclusions: We demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

* Abbreviations: IU — : instrumental use RU — : recreational use YCMC — : youth with chronic medical conditions We surveyed youth with chronic medical conditions (YCMC) to assess whether marijuana used to address symptoms or side effects (“instrumental use” [IU]) was associated with health characteristics, substance-use behaviors, and beliefs. We analyzed baseline data from 451 participants aged 14 to 18 years receiving care for a chronic medical condition who enrolled in a randomized trial of an intervention to reduce alcohol use. Seventy-three participants reported marijuana use in the past 12 months and were included in these analyses. Youth assent was secured with a waiver of parental consent under the approval of the institutional review board. Participants were asked whether they use marijuana to alleviate disease symptoms or side effects. Marijuana use items included the following: age … Address correspondence to Joe Kossowsky, PhD, MMSc, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital, 333 Longwood Ave, Boston, MA 02115. E-mail: joe.kossowsky{at}childrens.harvard.edu

Background College environments promote high-volume or binge alcohol consumption among youth, which may be especially harmful to those with type 1 diabetes (T1D). Little is known about the acceptability and effectiveness of interventions targeting reduced alcohol use by college students with T1D, and it is unclear whether intervention framing (specifically, the narrator of intervention messages) matters with respect to affecting behavior change. Interventions promoted by peer educators may be highly relatable and socially persuasive, whereas those delivered by clinical providers may be highly credible and motivating. Objective The aim of this study is to determine the acceptability and impacts of an alcohol use psychoeducational intervention delivered asynchronously through web-based channels to college students with T1D. The secondary aim is to compare the impacts of two competing versions of the intervention that differed by narrator (peer vs clinician). Methods We recruited 138 college students (aged 17-25 years) with T1D through web-based channels and delivered a brief intervention to participants randomly assigned to 1 of 2 versions that differed only with respect to the audiovisually recorded narrator. We assessed the impacts of the exposure to the intervention overall and by group, comparing the levels of alcohol- and diabetes-related knowledge, perceptions, and use among baseline, immediately after the intervention, and 2 weeks after intervention delivery. Results Of the 138 enrolled participants, 122 (88.4%) completed all follow-up assessments; the participants were predominantly women (98/122, 80.3%), were White non-Hispanic (102/122, 83.6%), and had consumed alcohol in the past year (101/122, 82.8%). Both arms saw significant postintervention gains in the knowledge of alcohol’s impacts on diabetes-related factors, health-protecting attitudes toward drinking, and concerns about drinking. All participants reported significant decreases in binge drinking 2 weeks after the intervention (21.3%; odds ratio 0.48, 95% CI 0.31-0.75) compared with the 2 weeks before the intervention (43/122, 35.2%). Changes in binge drinking after the intervention were affected by changes in concerns about alcohol use and T1D. Those who viewed the provider narrator were significantly more likely to rate their narrator as knowledgeable and trustworthy; there were no other significant differences in intervention effects by the narrator. Conclusions The intervention model was highly acceptable and effective at reducing self-reported binge drinking at follow-up, offering the potential for broad dissemination and reach given the web-based format and contactless, on-demand content. Both intervention narrators increased knowledge, improved health-protecting attitudes, and increased concerns regarding alcohol use. The participants’ perceptions of expertise and credibility differed by narrator. Trial Registration ClinicalTrials.gov NCT02883829; https://clinicaltrials.gov/ct2/show/NCT02883829 International Registered Report Identifier (IRRID) RR2-10.1177/1932296819839503

BACKGROUND College environments promote high-volume or binge alcohol consumption among youth, which may be especially harmful to those with type 1 diabetes (T1D). Little is known about the acceptability and effectiveness of interventions targeting reduced alcohol use by college students with T1D, and it is unclear whether intervention framing (specifically, the narrator of intervention messages) matters with respect to affecting behavior change. Interventions promoted by peer educators may be highly relatable and socially persuasive, whereas those delivered by clinical providers may be highly credible and motivating. OBJECTIVE The aim of this study is to determine the acceptability and impacts of an alcohol use psychoeducational intervention delivered asynchronously through web-based channels to college students with T1D. The secondary aim is to compare the impacts of two competing versions of the intervention that differed by narrator (peer vs clinician). METHODS We recruited 138 college students (aged 17-25 years) with T1D through web-based channels and delivered a brief intervention to participants randomly assigned to 1 of 2 versions that differed only with respect to the audiovisually recorded narrator. We assessed the impacts of the exposure to the intervention overall and by group, comparing the levels of alcohol- and diabetes-related knowledge, perceptions, and use among baseline, immediately after the intervention, and 2 weeks after intervention delivery. RESULTS Of the 138 enrolled participants, 122 (88.4%) completed all follow-up assessments; the participants were predominantly women (98/122, 80.3%), were White non-Hispanic (102/122, 83.6%), and had consumed alcohol in the past year (101/122, 82.8%). Both arms saw significant postintervention gains in the knowledge of alcohol’s impacts on diabetes-related factors, health-protecting attitudes toward drinking, and concerns about drinking. All participants reported significant decreases in binge drinking 2 weeks after the intervention (21.3%; odds ratio 0.48, 95% CI 0.31-0.75) compared with the 2 weeks before the intervention (43/122, 35.2%). Changes in binge drinking after the intervention were affected by changes in concerns about alcohol use and T1D. Those who viewed the provider narrator were significantly more likely to rate their narrator as knowledgeable and trustworthy; there were no other significant differences in intervention effects by the narrator. CONCLUSIONS The intervention model was highly acceptable and effective at reducing self-reported binge drinking at follow-up, offering the potential for broad dissemination and reach given the web-based format and contactless, on-demand content. Both intervention narrators increased knowledge, improved health-protecting attitudes, and increased concerns regarding alcohol use. The participants’ perceptions of expertise and credibility differed by narrator. CLINICALTRIAL ClinicalTrials.gov NCT02883829; https://clinicaltrials.gov/ct2/show/NCT02883829 INTERNATIONAL REGISTERED REPORT RR2-10.1177/1932296819839503

Background The Screening to Brief Intervention (S2BI) tool was designed to identify substance use disorders in adolescents. We report the S2BI's sensitivity and specificity for identifying alcohol and cannabis use disorders (AUD and CUD) in adolescents presenting for primary care. Methods Participants aged 14–18 ( N = 517) completed an electronic survey, consisting of the S2BI, the Composite International Diagnostic Interview (CIDI), and anxiety and depression screens. We calculated sensitivity, specificity, and positive and negative predictive value (PPV, NPV) of the S2BI compared to the CIDI criterion standard, using past year “monthly” and “weekly or more” consumption of alcohol or marijuana as a threshold for AUD or CUD. Results Current AUD and CUD were present in 2.9% and 8.3% of the sample, respectively and severe AUD and CUD were present in 0.8% and 3.9%. The S2BI had 53.3% sensitivity and 94.2% specificity for identifying any AUD (PPV = 21.6%; NPV = 98.5%), and 81.4% sensitivity and 92.0% specificity for identifying any CUD (PPV = 47.9%; NPV = 98.2%). The same threshold had 100% sensitivity and 93.6% specificity for identifying moderate/severe AUD, and 90.0% sensitivity and 89.0% specificity for identifying moderate/severe CUD. Conclusions S2BI had excellent sensitivity and specificity for identifying moderate and severe AUD and CUD. Sensitivity decreased when mild AUD and CUD were included.

We sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns.We recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138).Facebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media.We demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

Background Youth with chronic medical conditions (YCMC) use alcohol at levels similar to their healthy peers but face elevated risk for adverse health consequences. As salient reasons to abstain from or limit drinking (RALD) among YCMC are unknown, we sought to identify clusters of RALD and test associations with use behaviors. Methods Eligible YCMC (ages 9-18) recruited from outpatient clinics reported their use behaviors and importance of potential RALD. Cluster analysis was used to discern RALD patterns, which were examined as predictors of alcohol use using multivariate regression. Results Among 398 participants, 30.9% reported past year alcohol use. Concerns about impacts on medications, school, and disease status were the most frequently endorsed RALD; prior negative experiences with alcohol and family history were the least frequently endorsed. Five RALD clusters were identified for all YCMC and 2 for recent drinkers. Compared to the cluster with high endorsement of multiple general and health-related RALD, those predominantly citing concerns about addiction and those not strongly endorsing any RALD consistently reported greater alcohol use. Among recent drinkers, the cluster characterized by low concern across multiple RALD also consistently reported greater alcohol use compared to their counterparts expressing moderate concern. Conclusions For YCMC, RALD are complex but endorsement of multiple general and health-related RALD is associated with less use, and health concerns are especially prevalent. More research is needed to understand how salient RALD can inform tailored interventions that aim to delay and reduce substance use and improve health outcomes for YCMC.

Background Children with Juvenile Idiopathic Arthritis (JIA) often have poor health-related quality of life (HRQOL) despite advances in treatment. Patient-centered research may shed light on how patient experiences of treatment and disease contribute to HRQOL, pinpointing directions for improving care and enhancing outcomes. Methods Parent proxies of youth enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry shared patient-reported outcomes about their child’s HRQOL and experiences of disease and treatment burden (pain interference, morning stiffness, history of medication side effects and methotrexate intolerance). Contributions of these measures to HRQOL were estimated using generalized estimating equations accounting for site and patient demographics. Results Patients (N = 180) were 81.1% white non-Hispanic and 76.7% female. Mean age was 11.8 (SD = 3.6) years, mean disease duration was 7.7 years (SD = 3.5). Mean Total Pediatric Quality of Life was 76.7 (SD = 18.2). Mean pain interference score was 50.1 (SD = 11.1). Nearly one-in-five (17.8%) youth experienced >15 min of morning stiffness on a typical day, more than one quarter (26.7%) reported ≥1 serious medication side effect and among 90 methotrexate users, 42.2% met criteria for methotrexate intolerance. Measures of disease and treatment burden were independently negatively associated with HRQOL (all p-values

Youth with type 1 diabetes (T1D) use alcohol similar to their healthy peers; prevention is needed. We sought to develop and test competing versions of an intervention targeting alcohol avoidance for youth with T1D in a comparative effectiveness pilot trial. We recruited 138 college students (ages 17-25) with T1D via social media and delivered a brief electronic intervention, with participants randomly assigned to receive identical content narrated either by a peer or provider and evaluated effects on behavior at 2-weeks post-intervention. Of 138 enrolled, 122 completed follow-up; youth were 20.5 years, 80.3% female, 82.8% used a pump, 60.7% a CGM, mean last HbA1c of 7.7, with 85.2% lifetime alcohol use. Both arms saw gains in knowledge, attitudes, and concerns at follow-up (see Table) but those delivered the provider intervention rated their spokesperson as more knowledgeable and trustworthy. All youth reported decreases in binge drinking post intervention (21.3%) compared to prior (35.2%, OR 0.49, 95% CI 0.33-0.73). Changes in binge drinking were partially mediated by concerns about alcohol and T1D. This scalable intervention was successful at affecting knowledge, attitudes/concerns, and binge drinking and could be implemented broadly. Disclosure L.E. Wisk: None. E. Nelson: None. K.M. Magane: None. E.R. Weitzman: None. Funding Boston Children’s Hospital (FP01017994 to L.E.W., E.R.W.); Agency for Healthcare Research and Quality (K12HS022986); Conrad N. Hilton Foundation (20140273 to E.R.W.)

BACKGROUND AND OBJECTIVES: Despite their medical vulnerability, youth with chronic medical conditions (YCMCs) drink at levels commensurate with healthy youth. However, information about the prevalence of alcohol use among YCMCs who take alcohol-interactive (AI) medications is scant. To address gaps and inform interventions, we quantified simultaneous exposure to alcohol use and AI medications among YCMCs, hypothesizing that AI exposure would be associated with lower alcohol consumption and mediated by perceptions of alcohol-medication interference. METHODS: Adolescents with type 1 diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention-deficit/hyperactivity disorder, or inflammatory bowel disease completed an electronic survey. We measured the prevalence of exposure to AI medications and the associations with past-year alcohol use as well as binge drinking and total consumption volume in the past 3 months using multivariate regression to estimate the odds of alcohol use given AI medication exposure and perceptions of interference. RESULTS: Of 396 youth, 86.4% were on AI medications, of whom, 35.4% reported past-year alcohol use (46.3% among those who were not on AI medications). AI medication use was associated with 43% lower odds of past-year alcohol use (adjusted odds ratio: 0.57; 95% confidence interval: 0.39–0.85) and lower total consumption (β = −.43; SE = 0.11; P < .001). Perceptions of alcohol-medication interference partially mediated the relationship between AI medication exposure and past-year alcohol use (Sobel test P = .05). CONCLUSIONS: Many YCMCs reported using alcohol; however, drinking was less likely among those who were taking AI medications. Perceptions about alcohol-medication interference mediated the association between drinking and AI medication exposure, suggesting the potential salience of interventions that emphasize alcohol-related risks.

BACKGROUND Collection of patient-reported outcomes measures (PROs) may augment clinical data and inform health research, improving care, yet approaches to sustaining interest among patient cohorts in research participation are needed. One approach may involve returning aggregate research results (ARRs), which may help patients contextualize personal experiences, prompt conversations with providers or family, and encourage information seeking. This model has been demonstrated for Web-based patient-centered registries. Studies with clinical cohorts may further elucidate the model, its impacts on interest in research participation and planned actions, and potential for participants to experience this as helpful or harmful—gap areas. OBJECTIVE We sought to investigate the impacts of returning ARRs comprising summaries of PROs and clinical metrics to parents of children with rheumatic disease, assessing interest in future research participation among parents who viewed ARRs and plans for acting on returned information. Further, we sought to investigate reactions to viewing ARRs and how these reactions impacted planned actions. METHODS Clinical and PRO data were obtained about children in a national clinical disease registry, summarized, and processed into annotated infographics, comprising ARRs for children’s parents. Parents who viewed ARRs (n=111) were surveyed about the information’s perceived value and their reactions. Reaction patterns were summarized using principal components analysis (PCA), and associations among reaction patterns and interest in research participation and planned actions were estimated using multivariate logistic regression. RESULTS Parental endorsement of the value of ARRs for understanding their child’s condition and making care decisions was high (across 10 topics for which ARRs were shared, 42.2%-77.3% of the parents reported information was “very valuable”). Most (58/111, 52.3%) parents reported being more interested in participating in research after viewing ARRs, with the remainder reporting that their interest levels were unchanged. Reactions to viewing ARRs reflected experiencing validation/affirmation and information burden based on PCA. Reactions were not associated with child demographic or clinical characteristics and PROs, except that parents from households with less education reported greater information burden than those from more educated households (P=.007). In adjusted models, parents with higher validation/affirmation scores had increased odds of reporting heightened interest in research participation (adjusted odds ratio [AOR] 1.97, 95% CI 1.18-3.30), while higher information burden scores were associated with decreased odds of planned discussions with their child (AOR 0.59, 95% CI 0.36-0.95) and increased odds of planned discussions with providers (AOR 1.75, 95% CI 1.02-3.00). CONCLUSIONS Returning ARRs may foster a “virtuous cycle” of research engagement, especially where ARRs are experienced favorably and affect plans to share and discuss ARRs in support of a child’s chronic disease care and treatment. Reactions to ARRs vary with education level, underscoring the need for attention to equity for this model.