Alcohol consumption questionnaire: Scale development in a sample of Mexican American young adults and association with ADH7.

BACKGROUND: To understand why some individuals who develop alcohol use disorders (AUD) first begin to drink heavily, a number of scales have been developed that index aspects of alcohol craving and restraint from drinking. We developed a new measure called the Alcohol Consumption Questionnaire (ACQ), based in part on items modified from scales used to index binge eating, because there are data to suggest that binge eating and binge drinking may share common antecedents. We present an initial validity study using data from a sample of Mexican Americans. METHODS: Data were from 699 Mexican American young adults in San Diego County, CA. A subsample (n = 60) had short-term test-retest data. Factor analysis and reliability assessment guided item reduction. Item response theory (IRT) analyses quantified item severity and identified questions with differential item functioning (DIF). Logistic regression assessed associations of mean scale scores with AUD, adjusting for key demographics, alcohol expectancies and subjective response to alcohol. We also examined associations with a protective genetic variant downstream from the alcohol dehydrogenase 7 (ADH7) gene. RESULTS: The scale was reduced from 20 to 14 questions, which can be summarized by a single overall score (Cronbach's alpha = 0.896) or by two sub-scores (Consumption: 12 items, Cronbach's alpha = 0.896; Enjoyment: 2 items, Cronbach's alpha = 0.780). Test-retest reliability was very high (0.80-0.98) in this sample. The overall ACQ score and each subdomain score were strongly associated with AUD (ORs = 5.95 mild; 11.41 moderate; 48.56 severe) and family history of AUD. Respondents with the protective genetic variant had significantly lower overall ACQ scores (p < 0.001). CONCLUSION: The ACQ is a novel measure of alcohol consumption with strong relationships with both the AUD phenotype and ADH7 gene variants in a sample of Mexican American young adults.

Digital Screening and Automated Resource Identification System to Address COVID-19-Related Behavioral Health Disparities: Feasibility Study.

BACKGROUND: Digital mental health (DMH) tools use technology (eg, websites and mobile apps) to conveniently deliver mental health resources to users in real time, reducing access barriers. Underserved communities facing health care provider shortages and limited mental health resources may benefit from DMH tools, as these tools can help improve access to resources. OBJECTIVE: This study described the development and feasibility evaluation of the Emotional Needs Evaluation and Resource Guide for You (ENERGY) System, a DMH tool to meet the mental health and resource needs of youth and their families developed in the context of the COVID-19 pandemic. The ENERGY System offers a brief assessment of resource needs; problem-solving capabilities; and symptoms of depression, anxiety, trauma, and alcohol and substance use followed by automated, personalized feedback based on the participant's responses. METHODS: Individuals aged ≥15 years were recruited through community partners, community events, targeted electronic health record messages, and social media. Participants completed screening questions to establish eligibility, entered demographic information, and completed the ENERGY System assessment. Based on the participant's responses, the ENERGY System immediately delivered digital resources tailored to their identified areas of need (eg, relaxation). A subset of participants also voluntarily completed the following: COVID-19 Exposure and Family Impact Survey (CEFIS) or COVID-19 Exposure and Family Impact Survey Adolescent and Young Adult Version (CEFIS-AYA); resource needs assessment; and feedback on their experience using the ENERGY System. If resource needs (eg, housing and food insecurity) were endorsed, lists of local resources were provided. RESULTS: A total of 212 individuals accessed the ENERGY System link, of which 96 (45.3%) completed the screening tool and 86 (40.6%) received resources. Participant responses on the mental health screening questions triggered on average 2.04 (SD 1.94) intervention domains. Behavioral Activation/Increasing Activities was the most frequently launched intervention domain (56%, 54/96), and domains related to alcohol or substance use were the least frequent (4%, 4/96). The most frequently requested support areas were finances (33%, 32/96), transportation (26%, 25/96), and food (24%, 23/96). The CEFIS and CEFIS-AYA indicated higher than average impacts from the pandemic (ie, average scores >2.5). Participants were satisfied with the ENERGY System overall (65%, 39/60) as well as the length of time it took to answer the questions (90%, 54/60), which they found easy to answer (87%, 52/60). CONCLUSIONS: This study provided initial support for the feasibility of the ENERGY System, a DMH tool capable of screening for resource and mental health needs and providing automated, personalized, and free resources and techniques to meet the identified needs. Future studies should seek direct feedback from community members to further improve the ENERGY System and its dissemination to encourage use.

A clinical validation of the National Survey on Drug Use and Health assessment of substance use disorders.

Alcohol and illicit drug abuse and dependence continue to be of great national concern in the United States, as is true in other nations. The National Survey on Drug Use and Health (NSDUH) provides national annual estimates of substance use and abuse/dependence among the U.S. civilian, noninstitutionalized population aged 12 years or older. We conducted a clinical validation study of the substance use disorder questions of the NSDUH instrument using a sample of 288 adults and adolescents recruited from the community and outpatient substance abuse treatment programs in North Carolina. Using the Structured Clinical Interview for DSM-IV (SCID-IV) for adults and the Pittsburgh Adolescent Alcohol Research Center's Structured Clinical Interview (PAARC-SCID) for adolescents, we computed the psychometric properties of the NSDUH questions. We found the level of agreement between the NSDUH and the SCID/PAARC-SCID interviews to be fair to moderate overall. There was somewhat better agreement for dependence than for abuse and for adults than for adolescents.

Comorbid mental disorders among adults in the mental health surveillance survey.

PURPOSE: To examine the prevalence and correlates of mental disorder comorbidity in the adult U.S. household population. METHODS: Data are from a nationally representative sample of noninstitutionalized, civilian adults aged 18 years or older (n = 5653) who participated in the 2008-2012 Mental Health Surveillance Study. Mental disorders, including substance use disorders, were assessed by clinical interviewers using a semistructured diagnostic instrument. Analyses examined co-occurrence of mental disorders and associations with sociodemographic, functional impairment, and treatment correlates. RESULTS: Approximately one-third of adults (31.1%, or more than 15 million) with a past-year mental disorder had a co-occurring mental disorder. Correlates of comorbidity in adjusted models included being of young age, being of non-Hispanic white race/ethnicity, having low family income, and living in a large metropolitan area. Adults with comorbid mental disorders had lower mean levels of functioning and were more likely to report past-year treatment than adults with a single disorder; they also had higher estimates of past-year perceived unmet need for care (21.7% vs. 11.6%, P < .01). CONCLUSIONS: About one in three adults with a mental disorder have a co-occurring mental disorder. Elucidating factors associated with co-occurrence may lend clues to shared etiologies, help improve prevention efforts, facilitate early identification, and improve treatment regimens.

Marijuana Use, Recent Marijuana Initiation, and Progression to Marijuana Use Disorder Among Young Male and Female Adolescents Aged 12-14 Living in US Households.

Marijuana initiation during adolescence, and early adolescence in particular, is associated with adverse health consequences. Our study used 2005-2014 data from the annual, cross-sectional National Survey on Drug Use and Health to study the prevalence and correlates of marijuana initiation, use, and marijuana use disorder (MUD; abuse or dependence) among 12- to 14-year olds living in civilian US households (n = 84 954). Examined correlates included age, sex, race/ethnicity, poverty status, metropolitan status, year of survey, depression, tobacco use, alcohol use, and fighting at school. Sex differences in the correlates of lifetime use and past year marijuana initiation were tested via interaction. Lifetime prevalence of marijuana use was 5.5%; 3.2% reported past year initiation. About 1 in 6 (16.8%) past year initiates progressed to MUD within 12 months of first use. Although men had higher prevalence of lifetime use than women, past year initiation did not differ by sex. On examining the sex*race/ethnicity interaction effects, findings determined that non-Hispanic black and Hispanic men had higher prevalence estimates of ever using marijuana and incidence of past year initiation as compared with non-Hispanic white men; these race/ethnicity differences were not found among women. Identifying correlates of initiation and progression to MUD among young adolescents is critical to improve prevention and treatment program targets.